tag:blogger.com,1999:blog-1218184695154718652024-02-19T11:06:26.787+05:30MATLAB IEEE PROJECTS 2018Digal Signal and Image Processing based IEEE Project development in Chennai,Tamilnadu.India. .http://www.blogger.com/profile/12231586279374897112noreply@blogger.comBlogger18125tag:blogger.com,1999:blog-121818469515471865.post-7217453442827344802017-10-31T15:46:00.000+05:302018-03-05T16:52:08.524+05:30IEEE 2017 PROJECT TOPICS @ CHENNAI<div dir="ltr" style="text-align: left;" trbidi="on">
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<b><span style="font-family: "trebuchet ms" , sans-serif;">COMMUNICATION TOPICS</span></b></div>
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<span style="font-family: "trebuchet ms" , sans-serif;"><b><br /></b></span><span style="font-family: "trebuchet ms" , sans-serif;"><b>Year 2007</b></span></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">An OFDM-CDMA scheme for High Data Rate UWB applications</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Time-Domain Signal Detection Based on Second-Order Statistics for MIMO-OFDM Systems.</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Sequence Synchronization in a wideband CDMA System</span></li>
</ul>
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<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2008</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Token-Based Scheduling Scheme for WLANs Supporting Voice/Data Traffic and its Performance Analysis</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Adaptive Radio Resource Allocation for Downlink OFDMA/SDMA Systems with Multimedia Traffic</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Coding Schemes Applied to Peak-to-Average Power Ratio (PAPR) Reduction in OFDM Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Cooperative Sensing for Primary Detection in Cognitive Radio</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Design and Analysis of Bit Interleaved Coded Space-Time Modulation</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Enhancing MB-OFDM Throughput with Dual Circular 32-QAM</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Fast and Efficient QoS-Guaranteed Adaptive Transmission Algorithm in the Mobile WiMAX System</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Filter Bank Spectrum Sensing for Cognitive Radios</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Joint Optimum Linear Precoding and Power Control Strategies for Downlink MC-CDMA Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Efficient Spatial Covariance Estimation for Asynchronous Co-channel Interference Suppression in MIMO-OFDM Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Power Allocation for Two Different Traffics in Layered MIMO Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Performance Evaluation of the WiMedia PHY in WPAN Environments and Efficiency Improvement by Application of LDPC Codes</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Variable Sub-carrier in OFDM to Reduce the ICI Due to Carrier Frequency Offset and IQ Imbalance</span></li>
</ul>
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<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2009</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Ranging With Ultrawide Bandwidth Signals in Multipath Environments</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Semisoft Handover Gain Analysis Over OFDM-Based Broadband Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Ultra-Wide-Band Propagation Channels</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Pulsed-OFDM Modulation for Ultrawideband Communications</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Grouping Technique for Cooperative Spectrum Sensing in Cognitive Radios</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Implementation of the least squares channel estimation algorithm for MIMO-OFDM systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Sequential Detection for Multiuser MIMO CDMA Systems with Single Spreading Code Per User</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Multicode Approach for High Data Rate UWB System Design</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Replacement of Spectrum Sensing in Cognitive Radio</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Variance-Reduced Partial Parallel Interference Cancellation for MC-CDMA Uplink Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Closed-Form Blind CFO Estimator Based on Frequency Analysis for OFDM Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Eigenvalue based Spectrum Sensing Algorithms for Cognitive Radio</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A New Parameter for UWB Indoor Channel Profile Identification</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Cognitive Radio Sensing Architecture and A Sensor Selection Case Study</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Cooperative Spectrum Sensing with Cluster-Based Architecture in Cognitive Radio Networks</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Efficient Power Allocation for Coded OFDM Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Measurement Based Channel-Adaptive Video Streaming for Mobile Devices over Mobile WiMAX</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Sparsity-Embracing Multiuser Detection for CDMA Systems with Low Activity Factor</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Analysis and Comparison of Clipping Techniques for OFDM Peak-to-Average Power Ratio Reduction</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Error control coding in wireless sensor networks</span></li>
</ul>
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<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2010</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Bandwidth Exchange: An Energy Conserving Incentive Mechanism for Cooperation</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Blind Matched Filtering for Multiple Input Multiple Output Transceivers</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Estimation of Cubic Nonlinear Bandpass Channels in Orthogonal Frequency-Division Multiplexing Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Error-Resilient H.264/AVC Video Transmission Using Two-Way Decodable Variable Length Data Block</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Simplified Multiaccess Interference Reduction for MC-CDMA With Carrier Frequency Offsets</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Optical Communications Performance of Hybrid 34-Meter Microwave Antennas</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Performance Analysis of Distributed Decision Fusion Using A Censoring Scheme in Wireless Sensor Networks</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Gradient Descent Bit Flipping Algorithms for Decoding LDPC Codes</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Efficacy of Multiband OFDM Approach in High Data Rate Ultra WideBand WPAN Physical Layer Standard using Realistic Channel Models</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Carrier Frequency Offsets Problem in DCT-SC-FDMA System</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Signal to Interference Ratio Based Handoff Management for Next-Generation Wireless Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Anti-Phishing detection of phishing attacks using Genetic Algorithm</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Convolutional Codes in Two Way Relay Networks with Physical-Layer Network Coding </span></li>
</ul>
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<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2011</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Low complexity PTS algorithm based on gray code and its FPGA implementation</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Performance Analysis of MIMO-OFDM System Using QOSTBC Code Structure for M-QAM</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Dynamic Dwell Timer for Hybrid Vertical Handover in 4G Coupled Networks</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Exploiting Sparse User Activity in Multiuser Detection</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">IIR system identification using cat swarm optimization</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Peak to Average Power Ratio (PAPR) Reduction in OFDM for a WLAN network Using SLM Technique</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Suppression
of Narrowband Interference in impulse radio based high data rate UWB
WPAN communication system using NLOS Channel Model</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Digital Fractional Order Savitzky-Golay Differentiator</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A New Algorithm for Power Allocation in MIMO-OFDM Systems with a Beam-forming Scheme</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Poly:A reliable and energy efficient topology control protocol for wireless</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">High user capacity collaborative code-division multiple access </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Phishing Website Detection and Optimization using Particle Swarm Optimization</span></li>
</ul>
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<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2012</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Analysis and Design of Coding and Interleaving in a MIMO-OFDM Communication System</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Optimum Clustered Pilot Sequence for OFDM Systems under Rapidly Time-Varying Channel</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Performance Evaluation of Complex Wavelet Packet Modulation (CWPM) System over Multipath Rayleigh Fading Channel</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Two-Way Amplify-and-Forward MIMO Relay Networks with Antenna Selection</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Frequency Offset Estimation and Compensation Scheme for MB-OFDM UWB Modem </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Analysis and Design of Coding and Interleavingin a MIMO-OFDM Communication System </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Anti-Phishing Techniques<span style="font-family: "trebuchet ms" , sans-serif;">:</span>A Review </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Robust Fast Time-Varying Multipath Fading Channel Estimation and Equalization for MIMO-OFDM Systems via Fuzzy Method</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Design of frequency response masking FIR filter in the Canonic Signed Digit space using modified ABC Algorithm </span></li>
</ul>
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<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2013</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Adaptive resource allocation for downlink grouped MC-CDMA systems with power and BER constraints</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Selfish Attacks and Detection in Cognitive Radio Ad-Hoc Networks</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">An Evolving Graph-Based Reliable Routing Scheme for VANETs</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"> An Incremental Hop Selection Scheme for Amplify-and-Forward Multi-Hop Networks</span></li>
</ul>
<div>
<span style="font-family: "trebuchet ms" , sans-serif;"><b>Year 2014</b></span></div>
<div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Review of Exposure and Avoidance Te<span style="font-family: "trebuchet ms" , sans-serif;">chniques for Phishing Attac<span style="font-family: "trebuchet ms" , sans-serif;">k</span></span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Comparative Analysis of FBMC and OFDM Multicarrier Techniques for Wireless Communication Networks</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Review of Phishing Detection Techniques </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Design and Analysis of Low-Complexity Multi-Antenna Relaying for OFDM-Based Relay Networks</span></li>
</ul>
<span style="font-family: "trebuchet ms" , sans-serif;"><b>Year 2015 </b></span></div>
<div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Survey on Phishing Attacks </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Performance of two dimensional asymmetrically and symmetrically clipping optical OFDM in AWGN</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Comparative analysis of the BER performance of DWT OFDM over that of FFT OFDM in presence of phase noise</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">OFDM-Modulated Dynamic Coded Cooperation in Underwater Acoustic Channels</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Underwater communication implementation with OFDM</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Survey <span style="font-family: "trebuchet ms" , sans-serif;">o</span>n Channel Estimation <span style="font-family: "trebuchet ms" , sans-serif;">i</span>n MIMO-O<span style="font-family: "trebuchet ms" , sans-serif;">FDM</span> Systems</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Relative Analysis of Transceiver Diversity and Channel Estimation of MIMO OFDM</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">On the Sum Capacity of the Gaussian X Channel inthe Mixed Interference Regime</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Min-Max Approximation of Transfer Functions With Application to Filter Design</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">New Robust Estimators of Correlation and Weighted Basis Pursuit</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">MIMO:Enhancing Wireless Communications Security Through Physical Layer Multiple Inter-Symbol Obfuscation</span></li>
</ul>
<span style="font-family: "trebuchet ms" , sans-serif;"><b> <span style="font-family: "trebuchet ms" , sans-serif;">Year 2016</span></b></span></div>
<div>
<ul style="text-align: left;">
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Input-Based Dynamic Reconfiguration of Approximate Arithmetic Units for Video Encoding</span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Golay-Correlator Window-Based Noise Cancellation Equalization Technique for 60-GHz Wireless OFDM-SC Receiver</span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Efficient Integer Frequency Offset Estimation Architecture for Enhanced OFDM Synchronization</span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Local Spectral Component Decomposition for Multi-Channel Image Denoising</span> </span></li>
</ul>
</div>
<div style="margin: 0px;">
<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2017</span></b><br />
<ul style="text-align: left;">
<li><span style="font-family: "trebuchet ms" , sans-serif;">Downlink Scheduling and Resource Allocation for 5G MIMO-Multicarrier</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Digital Cancellation of the Remodulation Effect in IQ RFDAC Based LTE Direct Conversion Transmitters </span><b><span style="font-family: "trebuchet ms" , sans-serif;"> </span></b></li>
</ul>
<b><span style="font-family: "trebuchet ms" , sans-serif;">Others</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">McMAC: A Parallel Rendezvous Multi-Channel MAC Protocol</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Performance of Coded Multi-Carrier DS-CDMA systems in Multi-path fading channels</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Interference Rejection in Direct Sequence Spread Spectrum Communication Systems </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Trust Aware Distributed Adaptive Energy Efficient Clustering Secure Routing in large scale WSN </span></li>
</ul>
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<b><span style="font-family: "trebuchet ms" , sans-serif;">IMAGE PROCESSING</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Support vector machine based multi-view face detection and recognition-2004</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Fingerprint Feature Extraction Based Discrete Cosine Transformation (DCT)-2006</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Intensified fuzzy clusters for classifying plant, soil, and residue regions of interest from color images</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Determination of Minutiae Scores for Fingerprint Image Applications</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">MRI brain image segmentation by multi-resolution edge detection and region selection</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Recognition of human actions using motion history information extracted from the compressed video</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Automated Classification of fMRI Data Employing Trial</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Complex Wavelets and its application to Image Fusion</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Genetic Algorithms for the Unsupervised Classification of Satellite Images</span></li>
</ul>
<div style="margin: 0px;">
<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2007</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Color Image Segmentation Based on Mean Shift and Normalized Cuts</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Hierarchical contour matching for dental X-ray radiographs</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">An Improving Model Watermarking with Iris Biometric Code</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Lossless Video Sequence Compression Using Adaptive Prediction</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network</span></li>
</ul>
<div style="margin: 0px;">
<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2008</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Active Learning Methods for Interactive Image Retrieval</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Detecting Dominant Motions in Dense Crowds</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Personal Authentication Based on Iris Texture Analysis</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Robust Image Segmentation Algorithm Using Fuzzy Clustering Based on Kernel-Induced Distance Measure</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Wearable Monitoring of Seated Spinal Posture</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Design of a Distributed Traffic Monitoring System and Algorithm based on Web-camera</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">VisualRank: Applying PageRank to Large-Scale Image Search</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Watermarking Relational Databases using Optimization Based Techniques</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Fingerprint Verification Using SIFT Features</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Lossless Compression Scheme for Bayer Color Filter Array Images</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Motion-Tracking for Hands-Free Mouse-Pointer Manipulation</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Face Tracking and Recognition with Visual Constraints in Real-World Videos</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">An a contrario approach for outliers segmentation application to multiple sclerosis in MRI</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">An Unsupervised Technique Based on Morphological Filters for Change Detection in Very High Resolution Images</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Novel Segmentation Algorithm for Side-scan Sonar Imagery with Multi-Object</span></li>
</ul>
<div style="margin: 0px;">
<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2009</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Fast Image Compression Algorithm Based on SPIHT</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Application of Support Vector Machine and Genetic Algorithm for Improved Blood Cell Recognition</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Reconstruction Of Underwater Image By BISPECTRUM</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Combined Wavelet-Domain and Motion-Compensated Video Denoising Based on Video Codec Motion Estimation Methods</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Artificial Neural Network Based Automatic Face Parts Prediction System from Only Fingerprints</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Histogram Modification Framework and Its Application for Image Contrast Enhancement</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">New Statistical Detector for DWT-Based Additive Image Watermarking Using the Gauss–Hermite Expansion</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Fast Query Point Movement Techniques for Large CBIR Systems.</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Video Coding Scheme Based on Joint Spatiotemporal and Adaptive Prediction</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">The Global K-Means Algorithm for Clustering in Feature Space</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Towards Handwritten Mathematical Expression Recognition.</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Content-Based Classification&Segmentation of Mixed Type Audio by Using MPEG Features</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">ECG Arrhythmia Classification with Support Vector Machines and Genetic Algorithm</span></li>
</ul>
<div style="margin: 0px;">
<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2010</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Face Verification across Age Progression using Discriminative Methods</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Frequency Compounding for Ultrasound Freehand Elastography</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Satellite Image Resolution Enhancement Using Complex Wavelet Transform</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Video sensor network for real-time traffic monitoring and surveillance</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Error-Resilient H.264/AVC Video Transmission Using Two-Way Decodable Variable Length Data Block</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">IRIS Recognition Using Neural Network</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Secure Iris Image Encryption Technique Using Bio-Chaotic Algorithm</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Region Duplication Detection Using Image Feature Matching</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Content Based Image Retrieval using Hierarchical and K-Means Clustering Techniques</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A rapid 3D seed-filling algorithm based on scan slice</span></li>
</ul>
<div style="margin: 0px;">
<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2011</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Point Feature-based Cylindrical Image Mosaic Method</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Image Mosaics Algorithm Based on Feature-Block Matching</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Modeling and Formalization of Fuzzy Finite Automata for Detection of Irregular Fire Flames</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Real-time Sign Language Recognition based on Neural Network Architecture</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Improved Biometric Recognition and Identification of human IRIS patterns using Neural Networks.</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A robust detection algorithm for copy-move forgery in digital images</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">An Optimal Data Hiding Scheme With Tree-Based Parity Check</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Matching Forensic Sketches to Mug Shot Photos</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Automated classification of discrete human thoughts using functional magnetic resonance imaging (fMRI)</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Automatic Road Detection Using MCSC</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Dental biometrics Human identification based on teeth</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Detection of Parked Vehicles Using Spatiotemporal maps</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Text From Corners <span style="font-family: "trebuchet ms" , sans-serif;">a</span> Novel Approach to Detect Text and Caption in Videos</span><span style="font-family: "trebuchet ms" , sans-serif;"> </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Automatic Segmentation of NewBorn Brain MRI using
Mathematical Morphology</span></li>
</ul>
<div style="margin: 0px;">
<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2012</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Artifacts Removal and Edge Detection of Digitally Compressed Images</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Gender Recognition from Face Images with Local WLD Descriptor</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Drowsiness Detection based on Eye Movement, Yawn Detection and Head Rotation</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Index Codes for Multibiometric Pattern Retrival</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Bayesian Technique for Image Classifying Registration</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Joint Encryption Watermarking System for erifying the Reliability of Medical Images</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Framelet-Based Blind Motion Deblurring From a Single Image</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Image Segmentation using Fuzzy Rule Based</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Index Codes for Multibiometric Pattern Retrieval</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">In-painting approach to repair cracked images</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Multistage Image Clustering and Segmentation with Normalised Cuts</span></li>
</ul>
<div style="margin: 0px;">
<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2013</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Image steganography in DWT domain using double-stegging with RSA encryption</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Spine Image Fusion via Graph Cuts</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Heterogeneous Face Recognition Using Kernel Prototype Similarities</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">3D Face Recognition under Expressions,Occlusions, and Pose Variations</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Secure Image Steganography Based on RSA Algorithm and Hash-LSB Technique</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Detection and Removal of Cracks in Digitized Paintings</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Emotion recognition from geometric facial features using self-organizing map</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Image Adaptive Enhancement Strategy Based on Neural Network</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Cellular Automata for unsupervised remotely sensed data classification </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Computerized Detection of Lung Nodules by Meansof “Virtual Dual-Energy” Radiography </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Separable Reversible Data Hiding Using Rc4 Algorithm</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Video Object Tracking in the Compressed Domain Using Spatio-Temporal Markov Random Fields</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Wavelet-Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Systems</span></li>
</ul>
<div>
<span style="font-family: "trebuchet ms" , sans-serif;"><b>Year 2014</b></span></div>
<div>
<div>
<ul><span style="font-family: "trebuchet ms" , sans-serif;">
<li><span style="font-family: "trebuchet ms" , sans-serif;">Image Fusion Based On Wavelet Transform </span></li>
<li>Localization of License Plate Number Using Dynamic Image Processing Techniques and Genetic Algorithms</li>
<li>A New Secure Image Transmission Technique via Secret-Fragment-Visible Mosaic Images by Nearly Reversible Color Transformations</li>
<li>Data Hiding in Encrypted H.264/AVC Video Streams by Codeword Substitution </li>
<li>Detection of Lung Cancer using Sputum Image Segmentation </li>
<li>An ultrasound image enhancement method using local gradient based fuzzy similarity</li>
<li>Content Based Image Retrieval Using Interactive Genetic Algorithm </li>
<li>Satellite Image Fusion using Fast Discrete Curvelet Transforms</li>
<li>Activity Recognition in Egocentric Life-logging Videos </li>
</span></ul>
<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2015</span></b></div>
<div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Review on-Image Fusion using Wavelet Transform</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Automatic Vehicle Number Plate Recognition for Vehicle Parking Management System</span><b><span style="font-family: "trebuchet ms" , sans-serif;"><br /></span></b></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">EMR-A Scalable Graph-based Ranking Model for Content-based Image Retrieval</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Spontaneous Micro-expression Spotting via Geometric Deformation Modeling using Random Walk-ANN </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Multi-Frame Example-Based Super-Resolution Using Locally Directional Self-Similarity</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Robust and Reversible Watermarking Technique for Relational Data </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Discrete Wavelet Transform <span style="font-family: "trebuchet ms" , sans-serif;">a</span> Steganographic Method for Transmitting Images </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Ancient Cuneiform Text Extraction Based on Automatic Wavelet Selection</span></li>
</ul>
<span style="font-family: "trebuchet ms" , sans-serif;"><b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2016</span></b></span></div>
<div>
<ul style="text-align: left;">
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">A new intra prediction with adaptive template matching through finite state machine</span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Secure Image Transmission Based On Pixel Integration Technique</span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Multi image integration and Encryption Algorithm for security applications </span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Egocentric Activity Recognition with Multimodal Fisher Vector</span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">A Multilayer Improved RBM Network Based Image Compression Method in WSN </span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Bitplane Image Coding With Parallel Coefficient Processing</span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Enhancing Sketch-Based Image Retrieval by Re-Ranking and Relevance Feedback</span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Representation Learning of Temporal Dynamics for Skeleton-Based Action Recognition</span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Robust Face Sketch Style Synthesis</span><b><span style="font-family: "trebuchet ms" , sans-serif;"><br /></span></b></span></li>
</ul>
</div>
<div>
<b><span style="font-family: "trebuchet ms" , sans-serif;">Year 2017</span></b><br />
<ul style="text-align: left;">
<li><span style="font-family: "trebuchet ms" , sans-serif;">An Image Compression Scheme in Wireless Multimedia Sensor Networks Based on NMF</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Comparison of Image Compression Scheme in Wireless Multimedia Sensor Networks Based on NMF and SVD </span><b><span style="font-family: "trebuchet ms" , sans-serif;"> </span></b></li>
</ul>
<span style="font-family: "trebuchet ms" , sans-serif;"> </span><span style="font-family: "trebuchet ms" , sans-serif;"><b>SIGNAL PROCESSING</b></span></div>
</div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Speech Emotion Recognition Based on HMM AND SVM-2005</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Improving the intelligibility of dysarthric speech-2007</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Content-Based Music Information Retrieval: Current Directions and Future Challenges-2008</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">An Overview of Text-Independent Speaker Recognition: from Features to Supervectors-2009</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">ECG Arrhythmia Classification with Support Vector Machines and Genetic Algorithm<span style="font-family: "trebuchet ms" , sans-serif;">-2009</span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;"><span style="font-family: "trebuchet ms" , sans-serif;">Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis-2<span style="font-family: "trebuchet ms" , sans-serif;">009</span></span></span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Speech Enhancement Using Harmonic Emphasis and Adaptive Comb Filtering-2010</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Implementing a Speech Recognition System Interface for Indian Languages-2010</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Calibration of Confidence Measures in Speech Recognition-2011</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Broad Acoustic Classification of Spoken Hindi Hybrid Paired Words using Artificial Neural Networks-2012</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Design and Development of a Malayalam to English Translator-2012</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Speech and Speaker Recognition System using Artificial Neural Networks and Hidden Markov Model-2012</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Multiclass epileptic seizure classification using time- frequency analysis of EEG signals-2012 </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Audio Watermarking Via EMD-2013 </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Intelligibility
enhancement of HMM generated speech in additive noise by modifying Mel
cepstral coefficients to increase the glimpse proportion-2013</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Audio Steganography using RSA Algorithm and Genetic based Substitution method to Enhance Security-2014</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">GA-based Approach with Reduced RSA Encryption Security for Audio Steganography-2014</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Genetic Algorithm-Neural Network Wrapper Approach for Bundle Branch Block Detection-2016 </span></li>
</ul>
<div style="margin: 0px;">
<b><span style="font-family: "trebuchet ms" , sans-serif;">NETWORKING</span></b></div>
<ul>
<li><span style="font-family: "trebuchet ms" , sans-serif;">DUCHA: A New Dual-channel MAC Protocol for Multihop Ad Hoc Networks-2006</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Adaptive Routing in Dynamic Ad Hoc Networks-2008</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Cooperative MIMO-Beamforming For Multiuser Relay Networks-2009</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Medium Access Control Scheme for TDD-CDMA Cellular Networks with Two-Hop Relay Architecture-2009</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">Single-Link Failure Detection in All-Optical Networks Using Monitoring Cycles and Paths-2009</span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A Matrix-Based Pairwise Key Establishment Scheme for Wireless Mesh Networks Using Pre Deployment Knowledge-2013 </span></li>
<li><span style="font-family: "trebuchet ms" , sans-serif;">A
Clustering Routing Protocol for Energy Balance of Wireless Sensor
Network based on Simulated Annealing and Genetic Algorithm-2014</span></li>
</ul>
<div style="margin: 0px;">
<span style="font-family: "trebuchet ms" , sans-serif;"><br /></span></div>
<div style="margin: 0px;">
<div style="text-align: justify;">
<span style="color: #990000; font-family: "trebuchet ms" , sans-serif;"><b>The
above listed topics are just for reference. If you have any new
Ideas/Papers send to us at info@verilogcourseteam.com or Call +91 98942
20795.</b></span><br />
<div>
<span style="color: #990000; font-family: "trebuchet ms" , sans-serif;"><b><br /></b></span></div>
</div>
</div>
</div>
</div>
.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com0tag:blogger.com,1999:blog-121818469515471865.post-34105764230621826732017-04-05T11:10:00.002+05:302017-04-05T11:24:42.566+05:30Design and Analysis of Low-Complexity Multi-Antenna Relaying for OFDM-Based Relay Networks<div dir="ltr" style="text-align: left;" trbidi="on">
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<div style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;">
<br /></div>
<div style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;">
<br /></div>
<div style="text-align: center;">
<b>Design and Analysis of Low-Complexity Multi-Antenna Relaying for OFDM-Based Relay Networks</b></div>
<div style="text-align: center;">
<b><br /></b></div>
<div style="text-align: justify;">
<b>Abstract</b>—A class of low-complexity multi-antenna relaying schemes is proposed for orthogonal frequency division multiplexing based one-way and two-way relay networks. In the proposed schemes, two single-antenna terminal nodes complete the data transfer in two time phases via a multi-antenna amplify-and forward relay without channel state information, discrete Fourier transform (DFT), and inverse DFT. The relay signal processing consists of receive combining, power scaling, and transmit diversity, where instantaneous time domain power scaling is proposed for power scaling and power-based selection combining and cyclic delay combining are proposed for receive combining, to leverage the performance only with time domain operations. An approximation to the outage probability is also derived to predict the coded performance behavior under practical channel models. <b></b></div>
<div style="text-align: justify;">
<b><br /></b></div>
<div style="text-align: justify;">
<b>PROJECT FLOW</b></div>
<ol style="text-align: left;">
<li>Generate Message Data</li>
<li>Select No of Relay and protocols (OWR and TWR refer fig.1)</li>
<li>Transmit data to AWGN Channel</li>
<li>Apply Receiver process (Refer Fig2)</li>
<li>Find Outage Probability and BER</li>
<li>Plot the Result</li>
</ol>
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" 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" width="320" /> </a></div>
<div class="" style="clear: both; text-align: center;">
Fig. 1. System model: (a) Relay network and (b) OWR and TWR protocols.</div>
<div class="" style="clear: both; text-align: justify;">
<b>Proposed Multi-Antenna Relaying Schemes</b><br />
Fig. 2 describes a general structure of the proposed multi-antenna relaying schemes which consists of receive combining, power scaling, and transmit diversity, all performed in the time domain.</div>
<ol style="text-align: left;">
<li>Receive Combining</li>
<li>Power Scaling</li>
<li>Transmit Diversity</li>
</ol>
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" 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" width="320" /> </a></div>
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Fig. 2. Block diagram of the signal processing units of the relays:proposed multi-antenna relaying. </div>
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<b>Simulation Video Demo</b></div>
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/9RVSX42Gsnw/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/9RVSX42Gsnw?feature=player_embedded" width="320"></iframe></div>
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.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com3tag:blogger.com,1999:blog-121818469515471865.post-14683798788905422882017-04-04T11:21:00.002+05:302017-04-04T11:22:15.837+05:30A Reversible Watermarking Technique for Social Network Data Sets for Enabling Data Trust in Cyber, Physical, and Social Computing<div dir="ltr" style="text-align: left;" trbidi="on">
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<b>A Reversible Watermarking Technique for Social Network Data Sets for Enabling Data Trust in Cyber, Physical, and Social Computing</b></div>
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<b>Abstract—</b>Social network data are being mined for extracting interesting patterns. Such data are collected by different researchers and organizations and are usually also shared via different channels. These data usually have huge volume because there are millions of social network users throughout the world. In this context, ownership protection of such data sets with huge volume becomes relevant. Digital watermarking is a more demanding solution than any other technique for ensuring rights protection and integrity of the original data sets. The objective of this project is to devise a reversible watermarking technique for the social network data to prove ownership rights and also provide a mechanism for data recovery. Robustness of the proposed technique is evaluated through two attacks (delete and insert) analysis using experimental study. In this project, Z notation-based formal specification is also provided to show the working of the proposed reversible watermarking technique for social network data sets for enabling data trust in Cyber, Physical, and Social Computing (CPSCom). </div>
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<b>PROPOSED TECHNIQUE</b><br />
The main architecture of the proposed technique is presented in below fig It includes the following four major phases: 1) pre-processing; 2) watermark encoding; 3) watermark decoding; and 4) data recovery.</div>
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<img alt="" height="259" 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Main architecture of the proposed technique. </div>
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The proposed technique handles big data in a systematic way with logical grouping. For instance, for nonnumerical/numerical data encoding, similar records for the same employees get hashed to same values and make logical groups; thus, the data size does not increase. Moreover, the data owner has more interest in acquiring ownership rights and data recovery. She gets her data watermarked only once, and watermarking is usually done offline; this is to say that it is done on the machine of the data owner and data are delivered to the recipient only after completing the embedding process. Thus, she can afford large computation time for providing ownership rights and data recovery. For datasets involving a large number of features or a large number of rows “Big Data,” the data owner may use a</div>
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separate machine, with high computation power, to watermark the datasets. This might incur some cost but gain the owner more security (false claim of ownership can be tackled by watermark encoding and decoding). The computational time of the proposed technique is (ω ∗ R ∗ F) where ω is the watermark length, R is the total number of tuples in the dataset, and F is the feature selected for watermarking. The number of tuples is usually much larger compared with the number of features in databases and the watermark length ω; hence, F R and ω R. Therefore, for large databases, (R termed as n) the time complexity of the proposed technique for watermark encoding and decoding is O(n) (it is worth mentioning here that the time for computing the GA-based optimal value is not included in this calculation because it is part of preprocessing. </div>
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<b>Simulation Video Demo </b></div>
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<iframe allowfullscreen="" class="YOUTUBE-iframe-video" data-thumbnail-src="https://i.ytimg.com/vi/SxxwfdCPehQ/0.jpg" frameborder="0" height="266" src="https://www.youtube.com/embed/SxxwfdCPehQ?feature=player_embedded" width="320"></iframe><b> </b></div>
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.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com1tag:blogger.com,1999:blog-121818469515471865.post-34358058847201051422017-03-31T10:54:00.001+05:302017-03-31T10:54:32.155+05:30Multi-Frame Example-Based Super-Resolution Using Locally Directional Self-Similarity<div dir="ltr" style="text-align: left;" trbidi="on">
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<b>Multi-Frame Example-Based Super-Resolution Using Locally Directional Self-Similarity</b></div>
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Abstract-This project presents a multi-frame super resolution approach to reconstruct a high-resolution image from several low-resolution video frames. The proposed algorithm consists of three steps: i) definition of a local search region for the optimal patch using motion vectors, ii) adaptive selection of the optimum patch based on low resolution image degradation model, and iii) combination of the optimum patch and reconstructed image. As a result, the proposed algorithm can remove interpolation artifacts using directionally adaptive patch selection based on the low resolution<br />image degradation model. Moreover, super resolved images without distortion between consecutive<br />frames can be generated. The proposed method provides a significantly improved super-resolution performance over existing methods in the sense of both subjective and objective measures including peak-to-peak signal-to-noise ratio (PSNR), structural similarity measure (SSIM), and naturalness image quality evaluator (NIQE). The proposed multi-frame super-resolution algorithm is designed for realtime video processing hardware by reducing the search region for optimal patches, and suitable for consumer imaging devices including ultra-high-definition (UHD) digital televisions, surveillance systems, and medical imaging systems for image restoration and enhancement.</div>
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g5jXwxjX4xgN5/84lt9a1dTq6m5vb28qtJYv2Pr9m3lNVVFlWWF5SVZBXm5JUV5JaW5JcWG3NyEtNQkgyEjLy8uKUmXnqZLT2cLhSHR8SHRWrFSw1P4raTSHdd4+qJBFCdXsUItkitkan+ZJoglFIsUar5YxhVKOAKUxRXOZhZZFS4uLmM+0Fqt9tixY5P3Z5bftwXGeMWHVqvF3cx+HwRRHYnPySxHY8z4QKacjXMd8bkHqvVjbj/4x2dXrzx49PCvX9z6Ygj7Ygj7Yhi7NYzdGsa+HMG+HMFumW3DT+1+jWE1jS07drXufnlfUXl5zfa60uqqkuqKkuqKvLLiwqqKwsqKgsqKvPLylKzMtJzs6IQEbWpqjE6XV1a2MS6ei6L+m2L8Nsb6oKgsIGS5s/vSlWtWrfVesXotKlcJZAqx0p8rkvDFMlShRuUqiUojkipYPNFsZpH1cOrUKRsbm6VLl37wwQfgSHBwMIlEAkuNXbhwYfJe4a8B5LmYoPhwdHS0tbWVSqUNDQ0KhWLJkiUTlzWW5fXXX7e3tw8IeDzEsaCgAC/sLBXE81r0ELNrMTPNuwAul0qlc52OOUAqlU7wBi26EVwYNvyX//n9pY9OX/nqq+9HsK8x7KsR7OsR7JsR7OsR7OsR7NSNby/8E8MHd338479Gdv1rHrS7j2ckvXgbG7j9eHDX+X8MVjWZdjQ1t3aYGnftrKo1itX+FTU1BaUlQqmitqHBkJ2dU5yXlZ9dWFKSZtBn5GQnGtJiE3VhUTFSjR9PIguJ1nEksoDQCE1AIF8sEYhlIrFcLJPLAoLEan+Z2l/qF+TLl63zlTg6uUrVQcqAcE3wxtnNvVnF0dGRyWQSjzQ3N9va2jY2Nj6vV5YtxxcP4wnwvn37XFxciOb369atAy5Pnjw5CxGztbUl3tDXX3/d4rf4eesxxmkL1cLAImo9nmItbIwTruu46EZwPRy+e/nqwN/vfPfJwPl7t//x48jwt9jItxiGb6dvftN/B/v4x8dK/HjulDujxnfdI/zexS7fw157+08F5TU7W9vauzrbd+/evrMxNCqmaqsxp7gwWptQXl1VVl1VXFlaVlWRkZ2dlpGRkZ+XnKlPNug3xsWjCqUXhx+ZlCFTB/qHbQjeGKlQ+4ukCq4A5QtFIrmKJ1XINAEK/2CpMpDNV6yk0Lz5InXwBr+QhWxUNfrBDQ8Pd3Z2Pnjw4BS8gsXoFBiv6AwPDw8KemoaAHt7e1tb29mJ1bFjx8xuaF1dHYIgPB7PgqFAtZ4aUK2nzMRqvehawkew4evXb2DY8H8eP/rxmb/848srf384+B2GfYdh32PY9xh25ubXl+49nmf08hORBpI85uAufPcPf724Zdv2up27Wjs6qrbVVtUaN8ZuLqmoKKmoqKmtKa4szysrKamqzCzIq6w15pcUR2vjDXk5eaVFYRGRPImUL1WEJ6TJ/AL8Qjas9WD4h23QBIeicpVIIuMIRVyJVKxUb4iMk6sDNSEbODyxJ4cvUQeKlP6zmXuzjK2trdmDa2trS6VSn6vHGgCL0akxXtHJYDDMDiIIotVqZy1iS5cuJd5QBEEUCkVYmCVnJoBqPTWgWk8ZqNZP8XDox8+vfTY8Mjjw2cXvf/zm229v/nD/3t8x7O8Y9g8M+weGfXTz6ysPsMt3sSv3sU/uY1fujj2469Mng7vA1v/D/fr2nprtjTuaWzIKC0M2bKqoMUbHJxRXllfVGosry0q3VFZtrSmsLCvdsqWwrDQjNzshNTktO0Ofl7MxLk4sl/MkstC4JEVAsDow/OcvrVyybCWDI1AFhkgValShEitUEoVGqgkUSBSoQqNSB8nVQXJ1oEThN5u5N8tIJBK1Wg20+dSpU2Qy2dXVdWolMixGp8Z4RWdjYyN+a06ePIkgiEQiKS0tnbWI1dXVOTg4JCcng94+BoOh1WovXrxowSCgWk8NqNZTBqr1Uzx8NHj9+rWRkcHPr302PPJwBBseGRm+jWE/PtkufvXtjaHHw7quPcSuDT4e3HX9EXb90dgju64NYf3f/7ituWP7rtZdHZ1F5eXFFdXlW6uzC/IrjNXl1RW5RQVlW6qyCvMNBbkZBfnJGRmZ+Xn67MxEvT4iJjp04yY+KuaIpVFJ6SKFQuYf6MWR/NzeyXbJ8hd+4cBCJQKZDJWrpIoAmSZQJFMKZQq+RC6UKQUyhVC+kNfpunjxolqtBm/+yZMnjUbjlEfpwGJ0akxQdAIzbOzJrZmgwePjjz82s6aZfsT27t1LJpNra2vr6uom9tDBwQHELTg4eP/+/fhxBEHABweZTA4OHmP5nAPXBw9cH5x8lOaRWlvwRowGqvWUgWr9FN/+88tPrl64e/+bz65dvvfon4NDd4aGB+9iGNjuYNjAl1/fGsZuPnq83RjCbgxht4aeGtkFhnV98eT/jWHs5Oe36lu7drV1NrW2lVWU1zXurNleV9uwvWqbMb+sMLe4MLekyJCbk1tSkldasjEuxpCXa8jNTUhN1aWlRcZrOQIBTyLflJQuVfvxFRpPtnjZKlfHNYxlFBdU4y9UKvxDwlR+IQK5ki+Vc4USPipl8YRsAcoVimcz92aZxsZGS/VEzpdi1NoYr+js7e2lUqmT9KS3t5fBYDAYDARBGAzGeGPinwsqlYogiK2t7cS+KRQKPJ6/+c1vfvOb34D/x44dW7p0KTBXVCgUY3oy5fHWk79kPGg0GkJAo9FUVFRM31sc3GcL+mnm+TQvn4JaG58eQTcf9X5itV50NuFDww8/v/b5o+EH169fGx55ODTy8OHww3sYhm+Xbn311cjjkV1gMxvEBTazsV5nb3y5taltW9Ou5vaOgtKyhpY2Y31dRW11dX1tQVlxfnlpZmFh2VZjTmmJTp+empWh0+s3JyfHJiZmFBRsiIkViCWeLO7GhFSWRKIMDVvj4ftzB2cHp3XLV60VqdQ8mUyuCRRKlWyRWChToDIlXyIXSuReTLYHg/nsNM9bQPkOKgHTtDSGaj01xiv48OXObG1ta2trTSbT2bNnJ/CHTCb39/djGHbp0qXU1NRpxqq/v59KpTo7O+NFM5lM3rt378cffzw6XLNhBYDm5mY6nd7b29vf329ra7tixYrRbuawJdxMrQE5OTmTufbIkSNHjhyZ2A1Ua+sE2oQ/xdDI/eu3Pr/13c0rV/vvPPj+zoPvHwzdH8SwBxg2iGGDGHbli1t3MOzbEeyrEewr7PHILvD7FYZ9jT3+xbevMOwrDHvvwmXjrtYmU0djW6s+L79m+/aiivJyY3VxZWl2UUFkQkJ+RXleaUleRUVGUWFxVVVqVvbmlNTIxKRNm7WRsfEcIaoICo5NyxQpNbKAQKZQsXKt10pX72UrXcRKtUCmEEgVEpUfW4QKxHKhTIEq1CKFyocn8GRzZzP3ZpPe3t6YmBgHBwfiG+ji4nL69Okp+AbVemqMWfB1d3evW7cOjA3FWbJkSVtb23j+aLXagYGBxMREvHY7ZU6ePMlgMA4ePHjw4EF8lCoYgh8TE0N0+dFHHyGEkbvEU0FBQQiCNDQ0uLi4jDfTjvWoNb77zAuB42eu775Q1ZqYbwtPrRfdqh73Hv54/YvPHzy6c/36DQwbGhoZvPvo/kMMw7fPb14benD7n48Gv8Gwbwgju759evc7wp/vMOzNd/5fXUt73a7W+pbW6sbGLXXbKrcat9bXlxqrmQI0YGOUoagou7TEUFySnJObVVIak5ySlpMbk5iUmpUTEBYuEEu5QklsaiYHlaoCQ724ol84Up3XsylONIlSLQZWZhp/nkwuUarXeXjbU1YxBAKJyk8oW5j91kajUaFQMJnMgwcPmtUwptaOCtV6aowu+IxGo5m8gSKGTCaPN50ZPuDKIreATCYzGAyzg6Cub2aUDlZ5cXFxodPpkZGRxFNMJlOhUCAIMkF7vjWoNdjVaDRkMplOp0+m0rxo1RrDMI1GM6/fdNhv/RQjI4++uHVzBBu+9NnFL7//4uHQg4cjQ48wDN8+7r9w49OBv39z87snSkzcvn+ymR3/5W9/X9/WucPUua25tXL7jsrt2/MrK4yNjVV12919WKHRsUnZ2VklpYaSkuTsnPSCwpSc3PjUlOTszAR9RkRcPF8qZQvQ2JRMvkQhkKuYArmDi/uqtYwVq11RuUoRECiRq0RypUih4ssU7p4+tnZLXly6bA3d05PFmc3cmx1Onz7t6OjI4/GIJr4nT55sa2tzdXWd2qs4r9/hOWR00Ukmk5GxJpJTq9VqtXpMT7q6uiIiIuLj49ls9vSj5OzsPNooDNilh4c/tVrdpk2bbG1tz507d+nSJaLOXbhwAUGQCVoCANaj1hiGqdVqGo3W19en0+ns7OzAWTs7O7w5YXTjOThuMpl0Op2NjQ2NRouNjX2ctCe0trYiCEKhUNLT069cuTL9mGPWpNbgv0aj6ejoIJPJNjY2MTExly5dam5utrOzs7Ozo1Aob775JnCMoiieLXQ6XaVSnTt3Dpw6f/58bGws+CQtKirCvcXDjYiIQBDExsaGTqcfPnwYdPpMAajWT/Fo5MHnN6/ce/TDF7duDg7dv//o3vDIyDCG4du1L2/8Y/CH7//5zQ+PHv0dw/72ZHAXPsQL38W3v2HYK0d/Y2xsaTB1bm1qKd+2vbZpZ/GWLduamooqKlgiSXy6IbOk1FBQZMgv0hcWRSYkJhoyN6ekpWTnbk7Vh2yK5KNibxZngzaFLZCgclVQbJowWEeheS5zWsPioTK1v1imFkoUfKEUlSk5QtmylbQXfu6weu06D6YFij9ro7m5ecmSJWOO1GpoaJia3RlU66kxuuiUSCRkMlmr1V6+fBkcATbhCIKMZ1sQERHR0NBgqSiVlpYiCMJgMMDwLaPRmJycPGYZ5+npKZVKwf9jx47hEe7q6sKPT8CUZx6d/CXjYabWXV1dJBLJycnpnXfe0Wg0LBYLV2sSiUQmk7Fx1Bq0H+AAvcee3Fbw4YUzyX7xZ2Jtau3h4YGnkUQigWEmOE5OTgMDAxiGoShKoVDwjCXGwcy9mVorFAo8J4EPNBptammHav0Udx7c/eLWtZGRh9e+uDI4fOfh8BB+6t7go+GRkVtf3sIwDMNGhjDsRwz7J2Fwl9n2Twz7YXj4jTeP/+H/vtOy95XtrZ07Wjsrtu+orN+xdecutlhWt6uloLKSK5Xri0tKt9TEp+v1BYUZRSWF5VX6wpLYFH16XoHWkKEMCORLJBwBGpuexRagMpVa6R/EFkjcvDhObl5uDF+5xl+m9JMo1GK5CpWphVK1kwv9pWVOzq50T9YC7LfGLZiI7zxeFE5tCg5LFaOLjdFFZ29vL4IgDAYDbwyfuIgBK3+YTCYMw6hU6uQtyScTsfEeCeJyIwCFQtHb24u3yT/TmByzJptw4uug0WgMBgNw1tPTA2Sjr68PvwS0hCMI0tzcDI4YDAb8FFGtzXhm+/kkmWYmjH7kJs+Yao0DjBtwN2Z5Eh0dfeLECXAhEF2QIWae4J9K4Cy+O6afzwtU66f45MvrN2/dGBy+e+2Lz+89/HFoZAQcv3f/wZn+Ty588vnZ/v5HI3cHh+4+wkbuYBi+3SZs+MGPr9549cibrR1d9e1dtTtbtuxo2rpz17aWluqmHX5hEVu2b88oKOCissyiksyCwryKysyS8sTMrJSsnNjktARDVlisNjohMSRiI1MgZLC5m/VZEqVKgErECo1C4y9WqD18uc5r3FGZSiJX8VAJSyjiCsXKwDBPvpLi5O7o7LaOvjBtwkG7N3FhJa1W293dPWXL8GmWIIuW6RSd2FjLUs3OfGdmq6wajcbe3t6PP/748uXLYLeuru6Zs81bQ90aaAydTufz+UAAenp6QKss8sT6DKg1uBAh9Fvj8Rm96Dvu+Zi702SaXk3nkRtTrfH+l76+PgRB8G4UkD+4snZ1dYEqMplMBn+Iao2iKLiqv7+fqNajpXrm1HrRjeC6+Y/vBq5eGRoeuvXljeGRRyNPjl+9/sVrR7I0fWIAACAASURBVH+9s+fQK0eOY9jQ8Mjgg5ER4siu+0824pH3Tp49fOTNV3/1au2ultqdu+pb2zZpkwq3GGubdyqDQivqtqXn5vmKpOkFhYaCouySsrSCQn1eweaUtAR9RmJmlj6/ODohKSAsXCRXcIRoVJKexeez+AKJXCGWK+VqP6XGX+0fKFVqBKiUh0rAKaFMQfdFV1HpK1etWevqOZu5N3+Baj01pqnW8xpr6Lc2Go0NDQ1Hjhy5dOkS9qTZycnJKScnx2g0EuvWj+OMIE5OTkBawNzpY96+RaXWeJsBUGvcZ6JagwxHUXT//v0mkyk4ONhMj/HG7XPnzhG9BfV14ophPT09PT09U+u6hiO4nuKf9+69e+bkP27/cOPW9cHhf32k/OnDM4feOGpsbD505PUHj/72491vB0dGHmDYA8LgrkEMe0jYfYhhb7/7v6++8auG1tbtLW21TTubOjujk9JKjNuqG3Yog4KLa6o3Jeh8UGlOeUVmYXHxlurMoqL45GRdenpCuj41Ly82JS01J3djvBaVK9kCUUxKhi9fIFdrpCpVQEi4SCyTKlUqvwCRRC6SykUSuTdfKJDKUKVqvRdnxQraUsrq5S5rZjP35i9QracGVOvJu59RKzOzIN55553HkRyl1viFJ06cAP9xY3J8KDZUa+xptQYu8Qo0OEXUYxKJBGwv6HQ60Vu8lwGPg8FgmHKfAmwJf4q/f/vpyYELn31989rN68Mjw/jx//7je68e+dWeV3qOHn9zaOThg0d3Hz6RZKJUE7fB4eH/fucd056OmFR9XauprqW1sd0Uk5Rcua2udGtNQHhEcbWRL1c60xnJ2TmGwoLskuLUnNy45OSUzKycktLM4pKEjExdRqZfeLhQIkNlyjh9NpPHF0plIplcKJGL5UqJUiVSKAWolCsQCVAZFxXzUCkXlTD56DJHmr2jy3JnqNaTgvhGERtI5zZWE2NW1kweFEVJJNLo9s8px8HKM2qGsEK1BtVlGxsbtVptNBrxKiCu1kBaAH/+85+Rpxndb/04pQtCrY2jZkeZvFrjkgwmsiW2hPN4PKK3uEEZOHvixAncNg0HqrVluHVjoP/qZ3+//eOfz51+NPTYxGzw4cO3fnu873Df0bcOv/nrI198f/3Ogx+Jw7rMtiEMG8KwO/cf/O+f/7ewqmpHe+f25tYdbW2Nba0b4mIrtm3LKMgP2RRZULXFL2xjSnZOYlZmYmZGel5+TnFpdnlFQeWWhDS9Tm+I1iWlZOVuiI0TK5RcVBybmikQS0USqUSp4onFQrlcolaqA4MkCiWbL5TIlXK1H1ck9uULUYXalyt0dF67bKXzbOaelbNjxw57e3svL6+3337b7NSYZdMkyxSz8T+zxnO9+cR+MnAhiUSyVBygWuO89dZbCIL87Gc/6+zsNDs1C2p96tQpBEHs7e1tbGxYLJabmxvytFqr1Wq88xV7MrANVAeB+/Pnz2PWodY/+clPpFIpiM/oy2dZrevq6uzt7cFbw+PxcHs04DI4OBjcETqdDgYgIAgSGhoKzu7Zswe/X25ubiwWKyoq6nkjT4wSVOvHXPn86mefnL1185NTA+cfDA7eu3d/ZGTky6+/7jvc19d34NXX9v/Xf/12BBt+ODQ4jGFDhJFd+DaCYSMYNjQ8/Mnn1/7w3h/2HHhFn1dU19K8dWdj7c6GaJ1ua1PThjhtcFRM+bZtJTVbU3JzU3OzdQZ9am5uZnGxvqDYUFiSmJGlzy9IycyO1OpCo6NFEimLL4jRZ3JQsUShlCqVfFQsEEtQuRyVyYVSqS+Xx0MlqEIplEgFqIQjEHEEKE8g5i3oecKflz/84Q+gqPr3f//3iIiIffv24aemrNbENrFZZvJqbZaWiooKMplsNh/IdOKwONV6TIue8+fPOzo6AvtHLy8v4ikLqrXJZJqg7aerq6uuru7EiRNXrlwxGo19fX3EXlJwLTDCBxw5csRoNAL3eFSJ/lu2qWmSmeDo6Pgf//EfL774YlBQEBhDRbx8CpEBIwlx8F38U6a/v99ImMMYODCZTPicuMBK4MSJE2fPniVeiD3J1a6ursjISBBD4hDTvr4+ENbhw4dxw/IpANX6Kc4PXLzUf/bS5QufXun/7OqVGzdvDA09+vOpD15+Ze9rr75y8EDnW79+/cHI7YdDD/FLfrhzD6+FAy5fva4r3LrdtOfAa6+9fKh3h6lje3NzVe22zMLihIzsMqOxuLqmsKq6vG57Vml5YmZ2ck5OekFhSl52YmZmZklJZX19Wk5efEqqPq9Am6ZXBQXL/fxQmSI21cBFpQKxVOUfEBgcIpbJRBKxwt+fh4oFYhSVSyVyuQCViOUKPipmsNneLLYX03c2c8/62b9/P4IgEonExsYGQRAbG5u6ujpsVAkyXsWCQqFQKBQWiwVOmQ32IPoAmr9YLBax2o0XNGBcB3iBwZ8TJ06QyWQSiTT6u7uvrw98ZJgN0ySq9TvvvIM3uFEolIqKCtBziYwCG0fmweQPZDKZeBz/Funr6wMWTGbRg2o95ikwjnn58uUIglCp1EOHDmHzag2uGWXymfDiiy+uX78euF+zZg3xcqt65Ea/ZTMUw4nVetHZhH9w7tz5gU/OX7xw4ex7A5f7//ynP3726Se//+MfDhx6ed/LHT17244df+PR8P0hwjjsDy9cfO/UX3/3l7PnPr3x1Xf/+Ob7v5c3dda2dh/41a/2Hti/q6Otsn7b1p1N23bt3JyWpsvILqiqSsnNySopzq+qzimvSi8ozCguTssvMBQUGPIL0/Lys4pLMgsKE/T6GF1SRklJeEwMKpWxeYLolHSeWMEWCFUBgTKlSiyXy9RqsVIpV6kFErFAIuaJRUKxhC0QsgVCHw7Xm81msNm/euON4zPGW2+9dXCG6enpabM0lZWV69atA4K9ZMmS7u7uyag1ESDY46k1cYpsoH/g8xwcwaeawtU6ODgYPwg87+npAV6ZzdVApVK7urqIEQPiihvC4ICBKKNjjo1Sa3zcLQ6JRPrggw8wglrz+Xz8LHFKMnCEaPK6WDj6B+T4D0jdCePRP4x5vr6+Hu/CXLVqlVKpjImJIT4kixbiw/9MEhISli1bBi5Zs2ZNYWEhfvlcp+NfmL0+LBYLH/JuWYzQJpzI2+/+/v0zZ89f/PjD0yf/curkTlP7ro7Ol/fv2d29a3dnY1dn01vHXh/BhoefjMP+xz9/fPXor5t6DhU0duVsby9p7MqurOt85WBDa0vPgZd39+ypqa+rbqyv2l5X01BfvtVYUlOdX16eXVKcV1GZv8WYWVKWmpuTlpebVVSSlpenzy9Myc6O1ibEJiUWbdmSkpWrTTcoAwMlUrkvjxccFcsSimVqlUytEUokPCEqUShFUplIIuWJUKlajSoUQrGEzRfwUDFHIOSj4pqamtHlNcQMR0dH8OdfzxxhF/zH1RRovLe39/Hjx3G1JvYjkkgkYMNlNBorKirA8fT0dNwrNzc3UA8G5RGCIPb29sB/0DeGIAiZTP7www+JNkE4uJaDXVytDQZDT0+P0WiMj49HEMTJyemvf/3r6MuxUWoNgsZtWcFkTKBfE0SPQqGYxcQsoxYpx39Aossm6dbGxmb16tXg/8wXY1bNdLIcX8XHqtT6zJkz4KuaTCb7+/tPcz3ACZhYrRfdqh6vHzva9dt3z/Wf/8uHH/767bezyyurdjTsfrmtq3tnp2mHqaXu8K8ODWH/Gof92bUbBw//qnxrbeXWuuqm1tTC0todjfsOHtzfu2/Py92mTpOpu2NL/baKbbUFVeW55aUlxprCqgpDQX5mcUlhTU1mSUlaQX5eWVleaXlCRmZsYvLmlJSkzAydQZ+YmRGdkLhps1YdHMIXi928vDRhG1lClC9GlX5+EpmcJxBKpXKlSiNVKIQSsdLPT6JQiuUKjlDE5PK8uBwvDseLw5nOuzFNGAxGQkJCQkLCHMZhPMCM4giCLF++HLfq/NczR9glXoU9sarFrWeNT/dbgxGuoyEOzdRoNHjflfHJihdAgI8cOYJXyIhVXuAYn8QNvK5En81Anp6BYczU4U3o4D9uFJOfn4+7Nz5pvMVN0sb0apFy/Afk+A8TnH/xxRfBHw8Pj+joaIlEAnanUjAtIJ43m/HXk8Vi+fn5gf9WpdazxsRqvej6rXd1tPf95x/eef+9d//0flNXV92ulvTSon0vt+/Zs6uzfUfLztpfvfEq0f1HH/cfPvrGoVcPHvzlge1NDZn5BT2v7O17/Ze/PNy75+Wurp6ulq72sq3VW7Zvyy8vyy4pLaquyS0vS87J1hr0hTXV2WVlaQUFSZmZWcXFiZnZ+oK8rOKi5AxDbHJSgkGfqM+IT0rVBIWK5TIOKgyOjZeqA0QSqVSuEEllYrkClUiFIolYJvflcUVymUSpEoqlPLGYxRP4cvk+HK6X71zOE2601o661tbWn/70pwiCrF27lqijuAPiLl5qgF08UeCdMVNr49N2pzjEUIhrTgD3cXFx+BG86dssIAzDTp8+TTxC9PncuXNmM1hNUq3xJnR8iQJ8MiY8emw2G2+ZR55exGkxF50Tl4y9vb0///nPf/azn61atSozM/Po0aM7d+60ztdhlnmuTNDr9QiCODk5MRiMjo4OYPS+aB85qNZPEZ+S8Lu3f9fWs/u///hHQ1lJiXFraHJKS2v9zsaahvrKpoaaXx4+NILhVWvs7T/+vu+1g2++dfiNN1/d98puU2fzwUMvH3rt4CsHX+7q6Wztaquury0zVlfUGourKvLLy4q2bEnJzsooKswpLc0qKcosKkjPz03Py0vLzc0pKTUU5CdlZUbrdHFJSTq9Pipel5Cu14SFcUVCbzYnXJsiUmgEYqlcpRLLZAKJRKpUSeUqpUrD5HLFMjkqV6ISOSqV8YQoi8vj8ARsHn82c88MK1Tr1NRUBEF+8pOfvPTSS2vWrDlw4AA4Pk21xqdNIM4PBWhubjaZTMRhrMSXzfik3xo/ghuLjZ5q6vDhw+OpNZlMBnNUtba2gvq9mVo7OTnt37+fmCJw4dGjRxEEodPp+KpZYAUqolqPN3XlmClaPIzX6tjZ2Qk+uVAUzcrKwj+DrPB1mBMmmQnd3d22tra2trYcDqe6uvqzzz4jXr44Hzmo1k9B53od+/WxhOys/3z7dxvi4vMqqiVhoS2tdS27tjbsqNq2rXzf/j0Yhg0+fIRh2KOhodeOvn6ob//rrx/s7du7p6e9uWXHr47+8pWDL+/vfdnU2drS1ZZZmFdTvy2vtLhy29bCyoqCsjJ9Xn6UVhcaFZWWl5eYnZWck6UvLNBlZiTo0+NSk7X6tES9PjI+PlqXGBodk5ZfELIpEpXL2UJRuC5NGhgslMoEYgkfFSv9/DWBQWK5gs3jebNYCj+NQCLmi8QsLs/Th+nL5fFEKE+EzmbumWFtxVNtbS2IT3R0NDAFx5mmWuNn8fmh8DfqxIkTuNqNp9a4shIXLCE2qhMdk8lkMGsSUXTB/4qKCjzOZmqNr8VkdiEeYdzYG+/AxqBaT8iY9re//OUvQZ6sWbNGqXxqdfkZeh3GG3s9HfBnbCaYZGzBQ0uhUHBrcOLlc/LIWfYOoihKo9GIQ+kmGQGo1o+h+a5t62jziwjZ17s/ZPPmTYmJAZGR2+orqrbkl1fkZuakbd1e+/e//+2LW7cePHhw8fLlfb2v9Pb2vPJKx+7u5t1dLXt7Og4c2tdqau7a09nW2VbbuL18a01ZTVVeeUlBZdmm+PgorTYqQReTlJxRWLg5NVVn0CdmGNJyc3JKS/QF+UlZmWk5OSkZGZuTk7V6fcCGTVGJSYEbNgrFUl8ub0NCig8PFaASVK4QSCQsHt/Nw9OXy5OpVEw2V6pQCsUSgVjCF4p4QpQvQn3YHF/uVJaPtBTWptZNTU3Lli3z8PB47bXXzE6NKc8IwSbrmWoNAPND4avmAUJDQw8fPoyNr9ZEgKwaDAZQxwVGbThASk+dOoWNUmsbGxsSiVRbWwsqdkS1Js6mZHah2VkAhUIhLvwA1XpMjJceGC89MDv4m9/8BkGQF154obW11dz9s16HEydOGI3G2NhYcNPJZDLeZjMBFlFrfM5RzNJzoYxmkp4jCJKSkvLRRx+NefmYj5zJZGKxWMBq0snJiU6nv/rqq6OdPRdHjhyZodYR4BX+DT0ZoFo/hdN6Zx8Bk8ZyS8vJ5KhUXhKpJEDlJfL2lbJZUhETFWXk533y2eXf//dvP7927Tf/+dt9+3f37G3r7m7Zvbu5q3PX/v3dTbt2dO42dR842LH/QEpOTlFlZWlVZVFlZUZBfkyirnrHjsr6+trmlqrtdbFJiQnpackZGdrUlBidTp+Xm5SZoU1PS8rIiE9NiU5KjIiL3xSfEBQRIZHKmGzuBm2yJmwThy+SqNRCqdzV3eP/LPmFu5eXJjCAzeXzRRKRRMpHUYFYwubx2TwBTywWyeSzmXtmWJtaTwAxnkTdwp6l1tiTrjWEMB66vb0dGItRKBSDwXD8+HGw6MLoggZ//YAhN4VCSU5OJn5uf/jhh7j/LBYLqD4xnkA4z5w5A4QcRdHq6moztT548CA+/hsbpdZnz57t6uoCQ8BpNFpUVBTeZg7VegIsO/Mo3gFhxjO9nb5am93Turo6YNs8ZQ+fGdw0YzvmI9fQ0ADeIHz4BovFms60RbhJBx7WTNStn2uSoonVetGN4FpBW+XGXU/xdIpOjqOxvJx8PFZ60ijrXFyZngyRwMXTKylD3z8wsLO9q2Pv3r0vdza31XeadnSYdpjadjQ1GdtMjR3dpvbOtpf7Dnce6NWmGXJKinNLi4oqK/NLS3JLiirr6iR+AWI//8ptdbq0tOiEBF16+uaUpLScLG1aanJ2ZmZRYWZRYWpOdqLBkJKRFaVNDAzfIJXLWHxBREKyROXv7e0rFEt5QtSN7rlkqb2Xj4/STyORK9Vqf5FYKhChErlSLFew+QK2QMAWCmcz98yYp2o9m0z8+lk/UK0n737i1wHXBrw7Y5JYXK1nmhlSazx7cYvI6ayfgc28Wk8BWLd+Cm+RL83bdeV6Jy+BN9XXlcZ0c/SgUn3p0sAAnlLpxvRJzsr4v++9V7F9x9aWpq49Lbv3NLe11rU11zY11rS01HXvbu3a027qNO179aipZ39Cuj6vrCynqLCgrCSrIC+7qGDD5s0+fBGq8kswpKtDQxWBgdrU1FidNj41JVGv16Wn6wz6hAx9VFLi5uTkjXFav9BwvkTq5etL9/EJ1ybK/YOEIglPJBbLZO50r58vtWf4spR+GrFEzhOifKFIKJZwBUKhWMzm8bkCIZsnmM3cM2POH+7JA9V6akC1nrz7Sao1iqIXL14c7cBkMuFm/2q1+uzZs+C4mVr39fXpdDrQlk6n0/FmEkBzczNo9eHxeGfOnCGuk417QvyPYdi5c+e6urpA5w6JRKLRaHgjP7GdKSIiAkEQCoXy5ptvTpwPM6TWwCqTRCKBfiIcMOQyNjYWPxIWFoYgSEhICG4a8sEHH7BYLBsbGx6PB9rezbqoQPMSfvAvf/kL7r63txf3uaenB592MDExEb9Hhw8fZrFYYCYGFotFnH0B/544d+6cTqdDEMTOzi4yMnJMuwGo1k+xhrmOssbJ0dWJ6r1mxTrHle6rKetWO7pT/TZGbNIla8IjCior86q3FGypTs3L3tvVvLurqa1lW3PT1qam2pbm7XV1RmPd1i212/YffqvetDsqISG3pCS7qChOp4tL1GUX5GtCQ2QBgWGx0ZklRUmZWQl6/ebkxMjY6MSUlPiUlNjkpIzCgs2pKRu18bqMjM0pqTpDhkLj58vhMHxZoXFJMr8QrlAkkckEQpGbO92ObL9uvadMqZLIlahYKpbKeQKRUCRmc/lcgdCHxWay4QiuSQHVempAtZ68+2e+DjQaDV/riUwmNzU14aeAFhLnqMFHwBPVGozRB/PjIghiY2NDJpNBxwpYwIOI0WicjFqbWU4Q7zieIuJMfMTRB2Pn2/TetfEeuXPnzuH2IsQ+o9HZjvsATtnZ2eGTHCBP+rMmUGsSiURML24pBu4REbNZCnAoFAo2Sq3t7OyA6QnyxAZldNqhWj/FCrfVznSaO5vh7EGlrHNa7upov9rBR8CjMTxFGs2GhMTcsvLY/Gx9WWllXU1H586dTTUN2ysb6rfsbNrW2FirCQgw1m7bUle/97WjtS3todHRWYUFqVmGKF1CfllpxTZjZHxcREJiQmZORmGRu5cXbZ375kRdXEKCJjAwLjExPjUlKTNjY/zmpKzMrJISnd6gSzcoAwKFYokPhxuqTVYGhrN4PK5AxENRD2/mz19ycPf0Uvr5c4UiFocnlEgFEgmbz/fl8nhCEZPNYbI5s5l7ZkC1fiZQrecvzzsn82Reh5CQEGKxjs9Ib1b602g0MpkMdMVsHj0EQaKiosD0O6ArF5zCTf3BisssFuvEiRP4taAlHBlLrcH/qKgo8AfMJz+miSVerZy4/Xma79oEj5xZ7iGEcQ34Vwten8bVGuQG/otfRfyUMatbm7k3EkZU4hEj3iOzU2OajxCzrqGhYUzrM6jWT9HaZfLgrpcEqCiuqx1oji85LXegOkalpHLlMnlQcHBUdGxSotA/IDE7b1vTtpbW7TvqKxsbq+vrKysqC4pKCwUyWejGjaVbtzd0v5K3ZWtwZFRWcVFGfk50YkJgSGhxeUVkdLRSpvDX+OuzMj29vFZSVoWGb2Cw2Aw2KyImOi4pKUGvj0tNiUrQRuuSQqIi1SFhPJGY4ePL8GWHxSXL/ENEEolUoeCJRQw2x57i6LLWVSyT80QoHxWL5XJUKuejKEcg4AuEHA6PzebOZu6ZAdX6mYB1fmZuqsKZZoKic8HzvBY9k3kdrl69Coy8gPKBeurvfvc7ZBywp9V6AmfgD5lMBrbfV65cwVfcQsayHARXHT9+HJwtKysDZ9vb2xEEiY6OJqZIKpViT9qicYkaj2m+axM8csBekk6n48McpFIpLs85OTl4nMHHCvjv5ORUVFSEPT0vEDZ+vzXuvqioCHcAMmrizFer1WCtHWJC8Gy3sbGxsbGhUql//etfx0s7VGtzVtFdKO7OHjxvjkKy3NnJk+PtynT/OeUX5FUvOdOd1zLp4cnJYQkJ23fWNu3aWrettKa6sKQ0Tx0c6MnhOLt7UD29xP7BhrKq9MKSoE0btelpGzfH6tJSwzdFFldUbIrc5L3WlUenZ2VliYQiN+pa/6DgoIiImIQEXUpyYnpqWnZWlC4hLiV5k1abkJYWuilS5RfA4fG8WezQuERVYDhXKOQIBCKpTCBTUNetp7m6yZQqgRhlC/hCMcpis9l8HovL8WWzX1q2nPSz/zPLuUcEqvWCZ4Kic8HzvHMyP9fr0NPTQ6PRQItoR0fHBErwXGo95pAwZHy1xhXLzD1xgB/xASBeOx7TfNcm88jhy9YRswi0TIDOY7PmbnxFUWLcJrAyA+6JDkYvq0PMCiqViu9SKJSIiAhslForFAo8zgwGA7eVIzKxWi+6NbgwDGvpbNvZ3rLS3ZnivnqVu/Ny11Ur1jo6rF3hwnChuFGc1lO9pRI3Pn+t77rVjDXuHLonn+vO5tA8GavW0Zc5uSxbTWVLFdEp+pCoOL+QsFidNlq7OVYbH69LTE5PCwoJ8qRSBZ6e2Xm5QpFQxGHHJybGJuqSMzM3JyUlpKVvTk6JitdGbt7sHxYWGL5BHRjEEfB9fJju7nR50AZlUJhIIkfFEiGKunt42TusXOZA4YlEAqGIxeGyuRw2l+fL5fqwfH3ZbIrjKrslzzGYz+JAtV7wTKboXKhY3MqMTqfrdDrQQltXVwekmkajnTp1CnQe29vbAwc5OTlj9luD4t7Ozg4sKgOq6cAZrgRgwbT09HTibLLE+0iUmXPnzoH/dDq9qampq6sLLDwDZt+zKrVuaGhAUXT//v1GoxGYayGEvgMURUEvPoIgISEh4OB4XdrgP5jmD+jr/v37werXRAdEtT5//jxu2dfU1GR2j86cOQNuK1idDyzUa6bW+/btAxMRgoYBfJIGIhOr9aJb1QPHwXXVsrWOK1xXLXV2eGm1wy9W27t4OjvQlq1Ys5Lqu361t5uD+2oHV6c13vT1HNYq93UrXNeSVzsvc6K+5LTag8eTBAX4SlB1SGDgxvBoXXxsfJw2MTFOp/Xz8/dwoUp8mSkGPY/PU6DipPS0xPT0+NSUxPT0ZIMh0WAIjYzcuDluQ2xMROzm+JQ0ucZPIBRy2JyAiDhU6cfwZjKYvh7ePnxULJHLhEKRUCzkCfjeTG+Gjw+LyxWJJTyBkCcQOLvQXnpp2ZzkHgCq9YIHqvXk3T9TrZGxAGfHXI0NnCKqtYeHx3jORvuP3zWijRU2SnFHB00ikYDFslWptVknOh5VcPbIkSPgCN6BjT1LrfFp/pBR/dbAgVnle4J7NPo4blIwukkDB5+vxiyNsCV8srR1m5wYLk6eVCcPKtXXXRror94Q4c5mUb08X3JyfmnV6uVrVq9wc6a4u1DcaWsZ670F3E1xcVGx0brUlKjNsXKZnO7sohSLdWmpPB4/yD8gWhsfrdWmZGTGp6YYcnM3JyeHbNwYHhW1KS5u0+bN0doEpZ8/l8/zZbH8NsQqA8LYPJ4QFXMEfA6fz+Xx+Hy+UChk87hMFlMsk7E4HDabzeXzvZlMuqfnuvXr5zCvoFoveMYrOhcDllVrICe43NJoNBRF8aL8gw8+IJPJuKUYnU7HK81EtT59+jQwbgJHli1bhjsbGBgwGAxg8VMymUylUolrqINLgGMzpYmMjEQQBFT4QBxYLNaZM2cw61NrXC+dnJycnJzIZDJYph17evKZ06dP45eYRcZsl8VigezV6XTHjx+fWK3BPQLm4iCj8MzHb5ybmxu++rWZWuPr0oIQx3ynoFqPAYVCsbGxAaPizGjpaKXQnVa41Hl+wAAAIABJREFUrVq+1nH1+rUMET8wOjp4c3xgVIw7m2PvvJrqQ3Nh0FZ5Ort4raF6uK7xclcGBvgHB8anJIVGhAv4Aj6Hl1FWFZucvjFBF5OcEpeark3PiEtN16bq/YJDQzdu2hgd4x8cEhAWpgwIUAYEcIUiD29vd09PachGnlRN92JwuDyhSOjLYXsxGJ5eXl4MBpfH9fL24gmFbDbXm8n0YTLpXp50T093qNaTY77E09pYzGo9E/3WR48eBU2mfX19RIskwJEjR8BZYq3LZDKBg/gR0GZrNBp3796N98gCrly50tDQYDKZ8KHARE9ApdP4BKIDsHS6yWQiBg1sJI0EM8kxrzVjhtQaw7CzZ8+C0Pfv3w9mD8TZv38/uBBvBifGHz8yOvKgSv3OO+9cvXrVzD2ez8TpUZubm0dnFH7jDh8+TFwtF9xosAtuDfHIaKBajwH40qTT6aNPtbS3Llu7chl1xXqurzpioxefJ/LzC92s1URsWsv0WuW+2pW9xo2z1l3g5iFcLwuU+gX5BWwIUvtrkvVp4ZGbUIFIwOEVb29Uh25Y7+PLQ6VsVMLgcD2YbLoXk87wUQcHB0dEhEdFhW3aFLJxU2B4OKpQ8kWolzdTGRLJF6u8fXyZLBaT5evjy/TlsIVCoQ+TyeawGN4MNo/H8PFhc7gMH29Phhed7rF+/RhJmDWgWi94FrNaz8QIrsXAzKn1BIC2geddRcPagGo9BuAbB3wwNjc3EwfYtHW2r6avc3BZJQ0OCtfpGEKut4AnDfRnoTw3Xzc3Ns2FsdqZ4bTKw5GybgXVx2U9x43OowvlqC4tpaS6prBqS2R8Yq1pb0R8EpXuqQgKCY2Mdvf2pVBd6QyWlzdLrFAr/YP8Q8ICw8KCN0Sog0KEUrkvl0P3ZLCEYqFc5cNis7g8PirkC/h8AZ/H4/qymDwOi+nLFIrFHC6XyWSyWCwm05fu4bF+rA+OWWMeFU/zJZ7WxmJW65kYwbUYmGW1xrOdQqGwWCx8Zdj5yMRqvXitzHDs7OyIwx72HTzgyWOuXLPa2ZO62oNq7+LgsGbFKvdVzp5ONJ/VK12XLafZL1/jsNJt5Yo1y1dQl61yX7Vq/aoVax2lGll0vC4iVqsKjqhp2RsSraVzuJrwjaExm918WMud1zjR3JhsflhkbFR8YnyaPjU735BbmKTPDgqLkMgVIonYk8kO3hTHF4l4AoFQJOTx+RwOi8P2Zft683yZXC5LKBZx+Txfti+Ly2KymN5Mb2+m9xxm3TwqnuZLPK2NxazWFp/LbJEwJ2pNoVCioqKOHz8+5XCtgYnVeuBvdw9cHzxwfXCWY0Vkjh9ucJuBfSCLxZL7KRzcVq1wdbSnrrB3Wf6SyzInutMyqr2Di8MvHJe+5LjUca3TqrVOFBrFeT11nY+Hm+d6rhjVhAXLVSqpUiWQyKQK/8LK7erwaHcftiwwVBkSvs7Hd7Wru6PLWqrberqXj5cP02Wd6zpvhtPaNc7r161e5+q8huZMpVGcqesZTFdX97Vubq5urmtc11Bpzk6Oyyn2Lzkut19Lc1mzlkZb40KlOTtTV692dnKhrnahrp7DrJtHxdN8iae1AdV68u7n0eswo8yJWuOzws1rYEv4pDh06BCCICQSacPGiJ0dLbs6WppMu5radjW17Wztat1patrZtrOxpbGppbGlvbWlvbXZ1NzWZercs7tjd9fLB/b3vf5a76FDBw8deuXAwYO9v3z7nf/te/1o556eg68ePnT49c49e1s7Olva2k0dXV3de7r37G3r7Ojc093a3t7W1dna2dHWbmozmZrbTF3dezs6Ots7Ojo6Oto72k2mttaWXc1NTS27mtpNbe3tJlN7m8nU1mZqbW1rbTO1tpnMF9mdTeZR8TRf4mltQLWevHsrfx3a29vNTM9miDnpt14YQLWeFFevXjUajQ0NDbPzQC8MrLx4IoJApsHiLDqnrNYQZNpqvZiBag2xPFCtFwmLU62nbBMOQaBaTwOo1hDLM4/U2giZBvN3VZLp8Lw24fho3emgVqsRBHF0dExMTJy+bzgrV64Er+ry5ct37dplQZ/HY8rZPgtxG49du3aBOU3B7K1zxXivG1RryNQxzh+1hkCelzkZLYPL6oYNGyzlZ1tbG15v++lPf7p9+3ZL+bzwAGpttMrGpMW4qgfEUkC1hixgZr8ec/DgQWKLqKW8XbJkCZg8xMvLC0GQrKys3/3ud5byfIFhzWptDcCyfr4C1RqygJl9tZZKpS+88AKCIM7Ozj/96U9feOEFfB7sqXHp0iWj0WhnZ7d69WrQwPtv//ZvP/nJT2QymaXivMCwZrWGs6NApg5Ua8gCZjbV+sKFCzY2NnZ2dtHR0UBWgb5SqdTpeBsQEIAgiLe39+nTp4G3R44c+dnPfkYikSorKy0V+YWENav1ou63vnz58gRd+guY7u5uizyOUK0hC5jZrMeMltU33niDRCJNU1YRBCGRSHFxceC/VCrFMKy9vd3Ozu4Xv/iFxWK/gIBqPTFzVtZPbC6/ULGgxEK1hixgZtOiB0GQJUuW8Hg8jCCrS5YsQQhLOE/NW/z1xL3FMIxCoTg6Ok471gsQqNYTY/myfpLLsBgnnDjGgpw9e3YWVoY5e/bsZKZ2OXnypFQqhWoNgUzM847gmg7gPTp16hQ2Y7JK9BYyHtas1gut39poNNra2trY2Ewyu2fhxoAozXRACIKAUCYZJajWEMjEzFU9ZoZkFar1ZLBmtf7oh6H/+mb2viDHxMJl/dKlSxsbGycb9qzcmKVLl850EM8VClRrCOSZALVGjv8gef92zcB9fBdsNQP3D1wfJB6RvH8bjIg1c4ZhmOT925N11nMeQRAkZzcI9N3vHj3TtzGdvfvdI6Iz4G3CzpdHp+IpZ0+iN9qZ2cHxUjFJZ8+XJxMmFnxRmaUC9GI8M7FjZBQagSCIJLPyGc5mPk+Q4z8YLz0wc5Zw5u7CGW/d3d3t4uLS29s72bBnXq27u7uZTOaMBoFhGIPBmHwoUK0hkGdiJhKji/6ZU2vnqMyZUOvQ1OxnCtgiV2tnjtia1RpP75y9FBb0SyaTPZc0zoJay2SyvXv3zmgQGIYxmczJhwLVGgKxWmBL+BwCbHqssyXcGrBkWb906VKFQvEcYSOIVqu1YARGs3Tp0snX9aeMQqGYfChGo1Gr1R47dmyagUK1hkAsDlTrOQSq9cRYsqy3tbWdvA4Bs6yZvjcgSjPnP2Dynx2NjY3IE6YZKFRrCMTiQLWeQ6BaT8ykyvq+vj4GgwFGJbq4uMTExEy8XMks0NfX5+DgAOTKxcWloaEBRMmCQVy+fLm7uxuEYpZwC4YyZaBaQyAWB6r1HALVemKeXdb39vba2touXbrUaDT29vYqFAq8djhX2apQKGxtbW1tbcGui4uLpSqsRFxcXJYuXQpCMUu4BUOZMlCtIRCLA9V6DoFqPTHPLusdHR1dXFy6urrAblhYGPJkCdI5qVvv27cP1Kfx2UjWrVsH7rEFb/O+fftAfRoPBSQc1q0hkAUMVOs5BKr1xDy7rEcQJCgoCN91cXFxcHDo7u6eyVhNBFApYpSWLFnCYDBmIpS2tjb8CKjBWzaU6QDVGgKxOFCt5xCo1hPz7LLe1tZWrVYD2zGpVMpgMPz9/QcGBmY+bmMDDLXUavXly5cxDDMajRKJpLS01OKhODg4aLVaEAqecMuGMh2gWkMgFgeq9RwC1Xpinl3WG41GMpmMd9laZPTRNEEQxCxKMxEKMQgrSTgRqNYQiMWBaj2HQLWemGeX9WfPnl2/fj3IRCtZ4NJkMq1fvx70nc/crU1ISHBxcZnDHvqJgWoNgVgcqNZzCFTriXl2Wb9ixQoymdzQ0DD5CcCnAxgqlpycPJ6DvXv3grp1Y2Pjhx9+OLVQwLgsvDl9zFBIJNI0Q5lRoFpDIBYHqvUcMjW1trGxAYowQ7GyHp5d1hMbhMlkMpVKndEIgYFSE4RiMpmQp5nCtxgwGSOTyeMtpmkWyiwk/HmBag2BWByo1nPI1NSaSqVSqVRbW9vZqU/OIROV9WfPnmUwGFQq1WAwEKXLxcVl5iLU29tbV1dHoVDGi9K6devMorRkyRKi8fZkaGtrMxqNYWFhzc3NYzoIDg6OiIjQarWzlvDnBao1BGJxoFrPIVNQ666urpiYmL179zKZTB6PN3NxswbGLetPnz4NjKKJB+vq6qhU6rp1615//fWZi9Ply5fHMxxzcHAwM/VqaGggk8lhYWHPG8rrr7/O5/NHG46dPn0aNJITD4KEW5U0QrWGQCwOVOs5ZApqrVAowJQYFy9e1Gq1szDP9Bwybll/7NixMZt/EQRhMBgzZx29dOlSHo83nv9jtl0jz28WvnTpUq1WO2bj9rFjx8Zsirc2aYRqDYFYHKjWc8g0rcyOHTu2SNV6YGAAdO4yGIydO3cajcadO3cC46wZNZCe2KoLzM1CjBKDwZjCazBBD8fAwIBCoXBwcEhOTgY257OT8OcFqjUEYnGgWs8h0CZ8YiY13hrQ3d09ngX1bHLy5ElilGaolm8WijUk3Ayo1hCIxYFqPYdMU61nYm0nqwKW9fMVqNYQiMWBaj2HTEet8bWdyGTyQhVsWNbPV6BaQyAWB6r1HDI1tT5//jyZTH7xxRc/+OADDMNsbW3r6upmJoJzDCzr5ytQrSEQiwPVeg5hMplTUGtHR0ei4bPVzmc1fWBZP1+Bag2BWByo1nOIs7PzFNTaxcVFoVDMUJSsCljWz1egWkMgFgeq9RwyBbU+efIkmUzeu3fvzMXKeoBl/XwFqjUEYnGgWs8hz6XWwPwbjDHet2/fQm39JgLL+vkKVGsIxOJAtZ5DpqDWNjY2Uql0AfdVE4Fl/f9n783DorgShf2632V+gxlxbI1ZmIQoJDEJRlGa3qv3hR0UEdl36G56obuhG7qBLqDBBkQWBbVVEEmiGTNj7gz3u3Pnu15nbu5iNqNxzTXRrCYTZ8lMFnfq98fRmrKa7mbT7sbzPvXwNFWnTp1Ty3mrzjl1KliBtoZAZh1oaz8y1Zpw8B2Hufq+ljuwrA9WoK0hkFkH2tqPTNXW0dHRoaGhTqfznqYqcIBlfbACbQ2BzDrQ1n5kSrY+efIkgiALFy4cGRm51wkLEGBZH6xAW0Mgsw60tR+Zkq1HRkYetALwAcrqHAPaGgKZdaCt/ciUbJ2dnY0gyOOPP36vUxU4wLI+WIG2hkBmHWhrPzIlWy9ZsoRGoz04jdY4tHXwAm0Ngcw60NZ+ZEq2RhCkoKDgHn2DMTCBZT0V5PV08iR4w3bk8knBGzbyTPvZ/Ucun3QPZj+7fxrBkNfTcRx33wQlmOANm/3s/glTQp4JglG26x5swuTNbjDk9XTs3IEJc0EJ5imzw58cpgSj7ChPmZ1ksFncdSCzlGCeMkvJl6eTxz0Xkww2i/sETJQEg5Duwfx53c4S0NZ+ZPK2PnDgQGhoKI1GO3369IQB5qTFoa2pUAqgwLW1g4dsfE5QlQFtDW3tX1s/9a/lgjdsgjds/rxuZwloaz8yeVs7HI5HH320oKBgwqWdnZ1z8ktc0NZUiJLX3wnxAawJhwQI4B4C3BAEO9DW9xkMw5RK5djYGH63rTEMmz9/vqe1Vq1a5eVLHjQabU6WjXMtPzMHlDtHLp/0d0ImprOzE/wg2/qdd9556aWX/JouyIPLxW++PHL5ZMBeMlMC2vo+A8qxzMxM/G5b/+M//uPDDz/saa3HH3+8vLzc09KBgYGBgYF7kVr/Am1NBTt3ADt34OhXZ/ydkIkJCQmRy+X43bYWiURz70YSEixg5w4gsN3aH9HOAdrb2xcuXIggyL59+whbgwHAFQoFEezUqVMYhh09evT9998vKCh49NFHjx8/7inO9PT03t7e+5L8+wos4qkEeE14ZGRkREQEj8fr6ekBtu7v7w8PD3e5XP5OGuQBBdraX9HODYCkQ0NDiR8IgoSEhJDDgLFQMAxjsVg+u4IjCDInBziDtqYS4La2WCwIgixYsEAmkwFbKxQKBEGOHTvm76RBHlCgrf0V7ZzhqaeeWrx48aJFixAEAX8pfc1OnTolkUhoNFp5ebl3Ve/duzc6Ovoep9c/QFtTCXBbnz179qGHHkIQZNmyZcR96Lx58/ydLsiDC7S1v6KdM/zqV78KCQkBjx//8A//8Oyzz067I05fX9+8efM6OjpmN4WBALQ1lQC3NY7jLpcLITFv3rz+/n5/Jwry4AL7hPsr2rlEeno6KNBWrFhRV1fn7+QEItDWVAK8TzggLy+PsLVUKvV3ciCQOQK0tb/o7+8HBdqCBQv8nZYABdqaCngX5eI3X/o7Id7YtWsXqAPncDgWi8XfyYE80Ax/chiOjuKXaOcYUql08eLFQ0ND/k5IgAJtTQWUO8OfHHZfhAUSaWlpP/rRjx566CG1Wu3vtNzm6NGjM9nz/k4+xBveDhxst/ZTtJPcNOQecb8P5X3eXuDjpd3a3+dGoOO9TPe95yEBjJcDB23tr2gnuWnIPeJ+H8r7vL3Ax7uthUKhn59xAhVklmzt52xA3PBZMPm0NYIgjz76aEhIyLx580Bs8+bNI499ETggc9TW2MyuTQiZyVwU9wJoayrebQ1Pek/Mlq1nKz2Q2cLncZlMu3VmZubChQuJsZ2dTufTTz+9e/fu2UzobABtDfEJtHWgAG09PaCt5yo+j8tk3uACBRx5zrJlywLwaoK2hvgE2jpQ8PIGFzzpvQBtPVfxeVwm81WPJUuWUHQVERERgN80hLaG+ATaOlDw8gYXPOm9AG09V5l5u3Vvb29oaCj5a8ROp3PhwoUBOJgztDXEJ9DWgQKsCZ8e0NZzlZnbOjIyctmyZYSbDx06FLDHGtoa4hNo60AB2np6QFvPVWZuawRBli1bdurUKeLfxYsXJyYmznJCZwNo61nE/f2CGX4qEEGQQHiVANo6UAhSWx89ehRcD9MbosTpdM4wAdDWc5VZsTX4KHvgA20965smExYWFh4ePpMIoa0hf2eqo6Ns3LhRpVLd/3RSIE6gaVyWs3I9Q1vPVXweF+99wkdGRiIjI/v6+u5N6mYZaOtZ37Q7M4kQ2hryd7yMPOrp5AsNDU1PTz9x4sT9Ty3BlGx9/vz5vr4+4pPY0NYQL/g8Lt77hDscDnKjdYADbX3vNh0WFkY+l0ZHR51OJ6gRHB0ddV+9r68Pw7CxsbHz588TERK2nmFt4kyAtg4UvPcJB9BoNBqNRqga/JhJDc/Mmbyt3UM6HA4ajfbmm2/OJAHQ1nMVn8fF++goS5YsmXD1U6dOEc2ZxMze3l5iDvjhdDqJ28r7ALT1rG+aGP8xJCQkJCSESAnlmYdOp+/f//fqGeJz16CMJVYBtn7vvfdAADqdfj9PDwC0daAwmWfrqKgo4mbw5MmTdDodQZCQkBDirMJx/PTp0xiG9fX1ud82ulwuosMFuEME84m7RRzHh4aGDh48iN+5wQTFFvk2EzA2NuZwOEAAymVJrDg6Ojo2NkasIhQKyVcRfqdYpNyi7t+/H6x7+PDfdwU5hd3d3eRuI9DWcxWfx8VLu/XRo0c9rX7q1KmUlBQajUZ+6zo7OzslJQWcSNnZ2SwWS6vVQlvPcNP+tTX5ISclJYVYSqPRrFZrT0+Pw+EgnnlwHD958iThb+IHESGwdXh4eFhYGIqiNpsfvvwGbR0oTKbdmmxrHMdVKhWxiJhJPHyD8BPOB1cRsRbZuFFRUeC8pJzx5KsORVFiPvHb062rp/m42/V88OBBT+uSU0gsBc32CLT1HMXncZnQ1iMjI+RTKDIy0n3F9PR08kvYOI4fOnTo0KFDt6PFMARBiH/vDwi09Wxv2h33kISYcVIhQ/QHIn4gCKJQKEARGhUVRVj8PgNtHShMw9Y4jkdHRyMIkpaWtn///jfffJO4VQSBQ0JCMjIycBx3OBwIgoAbQwRBVqxYER4ejrjZev78+RPaOjQ0NCwsDDxqDA0NkRcRFUfuVgaLiBXdrxzyim+//TZIG0gYsbrL5Tp//jxZ0sidVgAajdbX14dAW89RfB6XCW1NrugGlUyUtU6cOBEdHX3gwF0Xml6vLy0txTCsq6tr6dKlEzr+noJAW8/2pkEdHmhuA8WF0+l8++23MQzbsGEDucYbIdk6Ojp6wgjBY0lISEhMTMx9z9BtoK0DhZnYGsyPiYlBJgLHcQzDIiMjZTLZmTNncBx3uVzgDAaRgJMgPDx8w4YNRMzHjx8HfTGI0x1ceESXDVCDLZFIKJflG2+8AQrKlJQU8iL3OnP3pTKZzGq1gqUgZnCNEeuCjYKbDxqNFhUVBW09V/F5XCbzVQ93Ojo6srKyKDMXL17c0tKCYVhBQYFf9AZtfe82TS6jiJLkrbfewnGcKKNwHHc6neRCBsdxoiEPQRCFQkGn00NCQsLDw+Gz9YPO9GxNVjJQlydbIwhCiJCYQ/5ttVqJpuKxsTFidRRFybYmR4u7OZhYMTw8fMWKFVO1NYIgRBrI4d1PU3IGoa3nJD6Py2S+6uHOyMgIpaO4RCIhPtKFYdiqVaummtSZg0Bbz/amKahUqrGxMeLJxOVyZWVlkUszUFHnXnjipHZrovLSL/mCtg4UvH/VA0CxNdAzeGjGcXz58uVkvYFqwJaWFhzHMQwLDQ0lD0USGRnpbtyzZ8+COXK5PCwsLDU11Wq1ulyuuLg4ZHK2lsvl4eHhKpXK5XIplcoJfezF1jQa7Z133iHHHB4eDrqVUU5T8hUFbT0n8XlcJvNVD3eMRiM4x95///3169efPHly8eLFxNP26tWrBwYGpp3maYNAW8/2pslERETQaLQzZ86QG/LCw8MjIiLIp5lCoSCvRbxuQ9j68OHDoHKRRqO9++679zlf0NaBwiTf4MrJycEwrKenB+g2JCSERqPt27cPx/ENGzYgCLJkyZKioiIMw4aGhiIjI0HHV8J8GRkZ7e3t4eHh4CYRxD+hC0E9M47jb731FvnCA3XvyJ1mIcrNJjkeSiU5UdFEp9O7u7vxu69nl8tFXCHt7e0gSaC7+3vvvXc/bT06OopN9DIl0S8d4HK5yD3eJ4QITJ4J4idmUqLt6+sDffI94R5+drsuT7VEICfG6XRO+AIrhddee41Go7HZbPKbM+74TIbPscw8xQmYN29eR0cH8W9vby/4sXjx4slHOFsg0NazvWmCrKysoaEhsOjChQvd3d2gc0x3d3diYiLlNLNareBF2aioqO3btxMREu9bZ2Rk+Ctr0NaBwlTHMgOAZl0QjNChu8mIwwyg0+kT9jIjtkgoGUGQ0NBQ0HOSotUJN0ReEdxPIG6V5MS2KEuJ/mWUDE6YQvdNT3/P3x0zuL92j5OyDwHeh5MjZ5YSv/vOJ+OlYcw9POhtN+Vs+4p/kuE9HTIvgD1A9Gf0HrO3pE7d1gELAm0N8QW0daAwJVuHhoZGR0erVKqmpiZySIfDAQaFAAEiIiKAy48ePbpkyZLQ0NCQkBAWi0Wj0UCXNLCW+0mQnZ0N6oiWLFmyZMkSssBOnDgRHh4OzEqn04lXILA776qCRdHR0UQ7Olh05syZiIgI8CwOXhCnXM8GgwG505U9KioqPDw8ISHBUwrJe2OSJcIjjzwSExPj/iRKiXlKto6IiEBR1NMWiWDkmZOxtZcLcsLwkZGRxNODJ0ZGRrwk1T1+nyEBEyae3KLhjkqlAs/W7r293GP2llRoaz9FO8lNT/7ahEwGaOtAwbutiXF5iCpHT/WlJ06cIAKcO3cOzDx27NjQ0JDD4WhpaQFN0eSjTh57hGBoaAjDsIGBgXPnzrlXDhMDrYA3IshLwaKDBw+eOXOGsujcuXOggze4h6AsBYyOjjocjtHR0dOnTxMz3VNI7IrJlwggy2FhYcnJyS0tLb/5zW/I84lgPm2NYVh7ezudTideYfe+xUnaGsOwzs5O0PNl+fLlaWlpE8YJwkdFRSmVSmIPEBEODg6CmQMDA+QzxOl0El0F+/r6iH174cIFl8vlcDjefvttSnreffddp9PpcDi8V/iDwOD8dDqd5Fs0cCYAKDXkRDsLfufgHj169NixY+RkQ1sHbLST3DS09ewCbR0o3NNvcE31AS6ImOrOEQqF/+f//B8EQR566KHOzk586rYm5hBm8pK2yduavKHo6GhPz52ErQn/kbdCOb7k4R0IiHUPHz5MngnqpYn0ED0SKP0TJ8wjsbtGR0eJOZTE0Ol08gh0lD1A5IuoHvd5ik6vT3hggkBbQ3wBbR0oeB95dIYnvXtjc2hoqL8u49kFcat48I5SqVy0aBHYCWFhYfHx8ZQLYJK2Jr/z7SVtXpgw2oGBAaBJTz2TJ7Q1kQzKiHWhoaGgRpo8k1iXEhghvexHHmYHuXtQvAnzSOwu0LUwNDTU4XBERkYSfW6J0ZXJa5FzRAwURbb1woULd+zYsdcDmw4MFnaZCrtM+3/1mqcwQcHg4CACbQ3xBbR1oOC9T/gMT/rz588bDAZQIKIompWVFSxfEvSJdyP6hPIKBz6VdmsajRYRETE4ODi9tHmKNjQ0lDzwu89kIAiCoujrr7+O4zjx8Lp//36wCLvTIZ8YSaavr+/dd98FPp4/fz6NRmtpaVEqleRn65CQELlc7nK5iJFlJ59H8C3hd999d9++fe+//z4IRtnP7nsgJCQkISGBPL69972HIAgijkAcPEQc4TtkMABtDfEOtHWg4P19a3jSe2IaxSIxbMvChQuXLl1KuQAmb2ur1UqohbzU01jrAJ+9zOh0upd7qQlvGohxb8bGxiiD5BAZAfMp+829TzuIn06ng+ZqomZ78vvfarUSz9Du/fzJa1G2OOUju/E50H7kO2QwAG0N8Q60daBwT9ut5zBT3Tk1NTWg3XrlypV2u514BiUCTMbW4EkRjIjkvtTd1uR4vNiaGFldp9N5Sj9RbwxqShQKRVVVFVgEPjwFRoOznZHRAAAgAElEQVSndMjHPdjavXWcSA/oiTYlW9PpdJVK9dvf/hYsAq/LI6Rx6RHPts7NzZ0wZk/bxedWL7N7RJDamjyoAKXD7DQIDQ310pQzDcDHu8jfcLs/QFsHCtDW02PyOwd0t/7Rj3705JNPxsTEEENzTNXWOI7v378fyC8kJARctOTyhajOnZKtcdJANF4uSPd2awKizgC8AuBu67CwMDAuDZG2+fPngx5kp0+fBhFSSoRJ2nrCQ4AgCDGiJ3lAZnwiW7vHAG09c4LU1hM2D4EPFE0vJTQazfvL/d45f/48ubprJlmbCdDWgcI9sjVl6CvMw6evg5fJ7xwg1+rq6hMnTlDmu9uaAu52qQwODhJdsdwHPiPHPHlbA6KiokJDQ2k0GvjwAAUvtgbv0NPp9MrKSuJr4sTOEYlEYA5YV6VSER9oQRCE+FbB7NoaDByrVquJbZHXIudoGrae3lc9HiiC2tZRUVHkjpDkqqwpQaPRvI9i5BPKqQg+dOTlRYl7BLR1oHCPbD1hpyTyuzTBzkx2DhEDMnVbA4hRYrzEjEzR1vidL4hPOCiYF1sTn1Yjhq8h7xyXywWGskFRFHw6xeVyRUdH02i08PDw1NRUUKLNoq1BGqKioqKjo33WhE/D1nPpDa57RFDbWqFQULocgtiINh0weiOxltVqBSc/+IAHJSXk+MfGxsBrFO4WByc8aNPBJyo/PWUtNTUVQZCioiLyx5PIlw/xvcRp7BDybvF+UdwLoK2p3KNeZpSzjSg0c3JyZpbeQGEmO4eIgXwBEON4k8E9jCEDvjji6daHvLp7/OBfL0PTTHjzDsKTRzghc+zYMQzDuru7wSA52ERj2gwNDV24cAHMAePVgPATpuf06dPuyXPP44S1CyANYCRzSrTue8A9Bp8F0/S+6vFAMYdtTX5b4fz580RlElHQEZcP+US6cOECsSKAPMAfubQELdOTsbVaraaEIfY5YWu5XE5O2zT2CQ5tHTjcoze4KAe4p6eHOBd///vfE0UtKMeJEvP1118Hi/bv33/+/HlKnAcPHsQwjDwAFgBE4u4YUOJTBAOagpxOp89vY3hn1m0NCRB8HhfYbu2ToLZ1VFQU+IgRiIpGowF5gx4YoDclOEPAxznAyMrInXf3iVF9yCcS6D8BhgIEn/cAfSFxHE9PT0dI9VKgAtKnrYkOImAtkAAEQSorK/E7tgbNTEQYkPhp7xZoa/9zr2vCybERZxv5PCO2Qjk7iUohAOXOlJhPHk+DfFNM/tYIMUQX5QsfMzn/ZrJziBju/wUA8YnP4wJt7RMkmG1NgahhJjp2UIbGQxAE6Jn8EiN+94nkHi0lGPHu4tjYGPEgQTkVyVnD7ryjERkZiZOKO1DjDWytUCg2btyI4zjxVYXpFTjQ1oHC/bE1+HIGgiDLly/v7u4Gv4keQOB52v1Ujo6OBkNrUd7lJaKVSCTg+iHmE80zISEh4F4SQRCxWAx6ZhKf50JmcKc5851DxHD/LwCIT3weF2hrnyDBb2vQwEyj0Q4dOgSWRkVFRUREkJuHEbfv65BHBSafSO6FGyXYhAmmnIrkkCCpRF8Q8iZwUk040dJEKTmnt1umse5MgIUjlfvZywzUERGLUBS1Wq0Yhv3ud78D5p4/f35LSwuGYeSPuYKxNsEXtUGLDkgVYX0wHzQgrVix4rXXXgOJDwsLA/2wXn/9dfdXm06cODGTLm8z2TlEDPf/AoD4xOdxgbb2CRLMtlYoFEql0v0dFsrIAfidd7TIHbjI7yCQTyTwOyoqCrtDX18fuU5xerYmf3QOLAVPIO6dNKGt5wL3zdbEuU4sIp/liFuPcWLESuzuUa7Iq7hDdFom5pCzQNz5km+Qpwe09VwF2nrmBLutJ3zX1N3WoFaPeKuKMuY8+USiNGnjOE68h035pB6lJpzcIOhua+TOiyHk5kUc2nquco++6kEcYPK9pPsi8raioqLIQwGAu1TC1pGRkfv27SNvgmixJjbhcrlcLhfoUwbeTQSt3USl99DQELkJx/vnkL0DbT1X8Xlcjl/+cPiTwxNeMhDAA2Lr5uZmYiB6ApVKRVTvEeFLS0s9NefpdDpyoQSGCgCLiL5jiFud+dtvvw1ezSIAnd1Aj11o67nJ/ekTPuEicuTEvSeoCSdePAAOJk5Hck24SqUiTkEMw7q7u+l0OrhjHR0dBZ8rPnjwINFWjeM4cTcAqs1nMowftPVcxedxgaOj+OQBsTWO47/4xS/A+9ZRUVFWq5VcnlBOpNHRUYPBAJ4xioqKyCHHxsZAiRcVFVVUVEQ0NtfU1IDwYAgEStZOnz7tcrnAigqFYnBwkHhZBtp6bnKv37f2sogc+YTt3GC0ATCkAGURWIt8TwoAtqaMNAJ6ouETVZ5Pe2AgaOu5is/jAmvCfRKktr4XKfF3KmYBaOtA4b69weW+iBz54cOHEQQh6nZiYmIiIiJcLhd467qvr494HzEsLCwsLAystWPHjvDwcGIgLTqdDt7UysrKWrJkCahHAh07gZUjIiJABfvy5cuJUbSmB7T1XAXaeuY8yLYeGBiIjo4uKytDPI82GFxAWwcK93qccC+L3IeRAuOfYBj2+uuvE+NeEYBBA8gDYOF3RjsBFebkbmjnzp0D1ebkSq0LFy6AUcAmHH1lSkBbz1WgrWfOg2xrcjXhtL8IElBAWwcK8Btc0wPaeq4CbT1zHnBbg/q8CcfbD0agrQMFaOvpAW09V/F5XGAvM588yLbGcRyMbXzs2DE/pmEWgbYOFKCtpwe09VzF53GB3+Dyid9tLRQKMcgsQXy55H4fyvu8vcDnHr3BNeeBtp6rwJrwmeN3W0PuBff7UN7n7QU+8Nl6esx85/jlAoD4xOdxgbb2CQJtPQmWLl3q7yRMjft9KO/z9gIfaOvpMfOd45cLAOITn8cF2toniP9sHUQAW8My1hOwcKTi3dYQL8yKrSGBiZcDB23tEwTaehJAW3sH2poKtPW0gbaew3g5cNDWPkGgrScBtLV3oK2peLH1/ex26BOiX6K/E/J33Ed3mRL+Tj7EG14OHOwT7hNo68mwcuVKaGsvQFtT8TJOeECB+emdPwiEwtGvzmDnDkx4gwsBQFtPBvAEAm3tCVjWU4G2hkCmBKwJ9wm09WSAtvYOLOupeKkJDyigrSEBArS1T6CtJwO0tXdgWU8F2hoCmRLQ1j6Btp4MUqkU2toLsKynAm0NgUwJaGufQFtPhqKiImhrL8Cyngq0NQQyJeBXPXwCbT0ZoK29A8t6KqDcGf7ksL8T4gNoa0iAcPGbL8Ho+v5OSOACbT0ZoK29A8t6KrBPOAQyJeD71j6Btp4M0NbegWU9lSOXT4LKcDAJ3rAduXxS8IaNPBPo3D2Y/ez+aQQDDX7um6AEE7xhs5/dP2FKyDNBMMp23YNNmLzZDQYaFCbMBSWYp8wOf3KYEoyyozxldpLBZnHXgcxSgnnKLCVfnk4e91xMMtgs7hMwURIMQroH8+d1G9hAW08GjUYDbe0FaGsqF7/5Egz1AKbhTw5f/ObL4U8Ok2eCT2q6Bzty+eQ0goE2cvdNUIINf3L4yOWTRDBhcRp4tj776YfkdUEwynbBHJ+5mN1g2LkDR786M2EuKME8Zfb45Q8pwSg7ylNmJxmMkouZ7DqQWUowT5ml5MvTyeOei0kGm8V9Aqazf/rEPRfuwfx53QY20NaTwW63Iwii1+v9nZAABdo6WIE14RBIsABtPRmAre12u78TEqDAsj5YgbaGQIIFaOvJAG3tHVjWByvQ1hBIsABtPRmgrb0Dy/pgBdoaAgkWoK09gWHYokWLdDodjuPDw8MIgjQ2NuI4vmHDhpiYmKKiIn8nMICAZX2wAm0NgQQL0NaeoJRjCIIAQ4OZGzdu9GvqAgtY1gcr0NYQSLAAbe2Jo0ePhoaGIggilUrxO7YeGRl56qmntFqtv1MXWMCyPliBtoZAggVoa+8sWrTokUceKSgoQBBEoVAgCPLTn/707Nmz/k5XYAHL+mAF2hoCCRagrb1z4MAB5G7gGCnuwLI+WIG2hkCCBWhr77z//vshISGEqiMjI/v6+vydqIADlvXBCrQ1BBIsQFv7pL+/HxRo4eHhdDr9zJkz/k5RwAHL+mAF2hoCCRagrSfDxo0bEQSZP39+WVmZv9MSiMCyPliBtoZAggVo68mwc+fOsLCwlJQUfyckQIFlfbACbQ2BBAvBYuvff/j1ib/g7/8VP/U3/OTf8JN/w0/9DT/9LX7mW/zMt/jpb/Ezf7vz47vbf898h5/5Hj/zHX72B/zMd/iZb/EPvsfPfX970dnv8XPfj+8dO6Iy1PVu7d+6faDNuamtw9noaIlPT/vZM88bzHWbNndWajTRq+NKVVVVRmNBWanWqKu1mrUGncag1RmMmmp9hUql1GgqdZqMnOx1ubkZOXkcsZgnlbJQQb7aEIfK6Dxh8tr18WlrFUkpEnk8iydcw+bGsVEuTyAQiVkCYfzaTFQiR4USVKrgShRciVwgTXlyedyyF+hRz6+SpawVxqfFp294af/P/X0QPALL+mAF2hoCCRaCxdb/ceHrk3+9Y2iSj89+h5/9Fj/7HX72O/zcbQffNX1Ams79gH/wPX72h9uLfnv8fHZpVZOjo39wsH9wW29/X1uns6O7K7ewkMEX1TbY2ru78ktKeBJ5e2eHrtZodzQbrDU1dbUWWz2GNRUUF6t1utyiQo3JUK5Rb8jNKVGp8krLxYkJIoVi+YqVanOTLHWDUJ4oSU5dl5OXun6DSKoQiOUiRQKLJ4iNYwnFEq5IIlYkM1ABKpGjUoU4IYUjlMpTMleuQpe/QP/ZU8/yxHJpYlryuo2jLwfup+RgWR+sQFtDIMFCsNj6jYtfnyI9Md+W9Pf42e/wD77DP/ge/98f7vp7e7r793kiwBX8f6/gI7/+nam+2dGxuau3d0tPz9bt23cM7W5oxdIz1gmkCmzTplanM6eoyGyz1TVYjXU1Ta0tjq6O2nqLUqez2Kz62hp9bW2xUmmsr1+fl2NpaqjQaOJT0gUymTg+fg2TrbI0S1M3SBJSk9dmKpJT07PzMvMKYjk8SUKSTJHE4gliGaxVdDpPKkfl8bLUtOS1mRJFCpMrkCmS0tblcPjyx5c+QxeLRcmpovjkvaOv+PsgeASW9cEKtDUEEiwEja0vfAWep89+j3/wA/7B9/i5725PxKPz38X8A/6/P+Dnr9z+CyZiDjH994efOzb3W7HWzVu39Q8OGizm9s1dRot5Q04OKlGYbbZWp7O+wdrcimmN1ZYGm6m+ztzY2IDZ9TVGtbG6ydFS12DLLsjPKynR1Rh1taaC0rL1G3NiGSy2UERncVR1GE+eJpAlxCevTVq34cmnn+OIpInr1gulCoFEjkpkIpk8js1Zw+IKExIZPIE0ISUjK18oTRBIFfLkdGlC2jPPr1rNE8iS0vnyxKF9L/n7IHgElvXBCrQ1BBIsBIut/+fjr4hn6L/7+Hv8f6/83ccfXsE/uopfuIJ/eAU/fxX/8Cr+4VX8/BX8w6v4h9fuTFfx89fwD6/ixy9/i23e1uBw2tucnf39xRoNhy9ubtukN9fm5BfIk9eabbau3p56e0O12djQgtXbG+rtja1dTqVeozUaLI2NVXp9tdlUUFq8sTC/XKsu11SZrPVZhQUsFBXJZGyUX1HbEIvKJEmpkviUlLUbFoc/tWDR4y+soSvS1qZuyBbKE0QyOYPHkyYkM7l8rkAsT07jiRVxHEEsG2ULxAJJvEyRIktIkyemCcXxe6GtIbMOtDUEEiwEi62PfvYH4kH5toOv4B9dwT+6gl+4hn90Hf/wGn7hGn7xGn7x2u05tyfy7+v4R9fxC9fwizfw1373rqWps3vbjlZnh6OjIy0nlyOUd3R1V9daUtetT8nY0NjaYmvBDHW1dU22Fme7sd7csqmto7dbVVPdtrmjsbW5usZUoqwoKC8xWevyy0vLNFUqg4Evk62KY4ilUp5IVG620nnSF+lsSdLatPU5ix9f+qOfLFr4cDjt0Sei49hpG7IT0jLWMDh8kVQgkQulCRyBhM4TCBOSeGIFTywXSBNEskS+SJG8LkuWmPbKAdjLDDLbQFtDIMFCsNj67c+/Bo/OH13FL1zDL1zFP7qGX7yGf3wVv3gNv3Adv3gdv3gN//ga/jH4fR2/eJ30+8bt6cL120Y//uWfWzYPYs6uZmfnoGtncaUqPj2rpd1pqLOkZW5I25Bd39RYa62rqTdrjdW2FqzO3mhrbW5wNOvMpmZnu7mxoUKjyS4sVGqrqs01pWrVhtzc9dk567Nz2QLR6jhmHJdXXmuVp64XSBVMVKBISnvsZ8t+9BPaj8MeXrDo8YWPRSxd/iIqi2cJRBK5gomKUEk8KlFIEpPpHJ5Ykcjg8elclCUQsfhivjSeL43f9/J+fx8Ej8CyPliBtoZAgoVgsfV7l77++DoOpk+u45+Qfnx6A//kBv7Jjb//+OSmx+njm/inN/HPboz/y7unWrr6HV29zi19A66dlRpNld7k7OmpMujKqlQqvc7uaK23N5htFo2xuq6hXldj1NfWVNeZ1Qa9yVpfodNW6nS62hqtyZBfVlJQVpaWmVFcXpG2fgOTL+AJRQweWmqsk6WuZwmEPKlMkrw2lit9bOlzjz71wo/DHv1x2MOLHn1iNZvLlohFcrlYniiSJvLFCnF8Ml+m4EsVTJ6AK5KyBSK2UMQRilkC0fC+UX8fBI/Asj5YgbaGQIKFoLH1F199egP/9Dr+2Y3b0yc38U9v4p/ewD+/iX9xE//8Bv7ZTfyzm/hnt/DPbuGfjeOf3cI/H8c/v4l/fgv//Bb++U3883H8U7D05viv/uvdtp5tbd29nT1923ZsL6+osDQ0OTq7WtpanV1Ou6OleZNDZdAa6kyWRlt5lcpQZy6urLS3tZdXqSq1Wq3JWFhRVqysNNTVVWi1JUpVbkmx1mjKLy9n8NFYJiuOzS0xWBI35IkSk+NQEZqQ+iJDEL4sOnGj8tEnV4SGPbL0mWi2RMpPiJckJSamrpMmpAqk8WyxlCkSc4USgUQRx0ZZPEEskxPL5LLY6O49w/4+CB6BZX2wAm0NgQQLwWLr45e++uwG/vnNiaZb+Be38C9u3bbyF+N3T2DpnX8/H8e/uIV/ieP/9J9vY509m7cOOjo392/fUa5U1jVhjs7Olo5NtQ119XZbY1uzUq+psdYZrBaNyVRVY7I2YzZHq85sVhsNuSUlBeVl5TptVn5+YUVFWmZmlclYj2G5paUckYgt4K9iMAs1RkV6Fk+qkKamJ2RkPR29hvbYUo4kbeny2J/Qwpc+G80WSwQKBSqV88VyVKqgs9EX45gMnkAoVfDFMq5AzOYL2agwlsF54cXVA9t3+PsgeASW9cEKtDUEEiwEi63fv/Tll3d799I4/uWdv+DHJRy/hONf4rd/eJzG8a9xfM8vf2Pv6HF0dbd39WwZ2JZTVOzs7mlubzPUmWsbbQ2OFovdWqlT1dSbLVhjTaPN2ozpLRa10Vih15drNUWVFfVYU1lVVVGlqrCiskRVVabT5ZSUKlLTWTwem89nCYTFGlN6duHz9DiGWBy/bv1qjvixqBWLH3+G9ljkgiVPRi5/kSuS8GUyjkgqlCawUaFApuAIJKhUzuDyBdJ4nlgqTkzmiaRMDn/lavrgDpe/D4JHYFkfrEBbQyDBQrDY+vQXly7j+B9w/Mtx/Kvx23/B9Acc/wOOf4XjX+L4l24/viItJRZ9jeO7X/vnBudmZ/+2noEdTe2O7OISbJOzsblZY6pu6dhkslqqzcYqU7Wl0ZZZkFvTaNMYq2tsNkuT3dLSWmO3qwwGU7212lJfWF6ZlpWdWVS8bmPuxoKirPwCgUQaHbNampRcZrBkFVcI4pPYYgmDL2Tw5S8wBFxFxiNLX5i34JGfRS1ni8SShEQ6X7iGxRNIFavimAwOGsfkolK5NDFZmpjCFUlQiYyBCl6Ijdu2Y6e/D4JHYFkfrEBbQyDBQrDY+uNPP7mG438BT9J3HPw1flvVYALzL9/592vSRMz5Ckw3bvbuPdCypa+5a3N795baxoZaDLO1tDY0Y6a6uoqqKszRZmvBahqsqFSWlLmhrrXVaLMpq6vLdXplTW2F0VioVNU3t6oMxvSs7CJVVeL6DfllFRty87PzCkUyBZcvQmXyIl3N+sIyllCSmpmdvDYzlit+YvlK0dqClbxE2mNPPRX1HCqRKVLTmAIhmy9KzcziiKVrODxUKGHzRbKE5BWrYwUyhTA+gS2SxLA4AzvhszVktoG2hkCChWCx9cUPz3z/1z9+e/3K5TsCvozjl+9WMnk+eXIP/9E337Zv3dO5dWd7z1asY3Pvjp3Wtjaso6Mes1tbmqtqTFj7Jr3FEvnCyseWPp2SlV2q0xdrtFaHo9xgVJnNJVpdpdFUZakr1uqyS8oMdfWlmqoyrT59Y058+lo2ymdy0TVx7EJVdU6ZiiUUr2ah4oQUOk/0cMTTLzLEa7iJjz3x7JORy1GJLCEljcHlCyRyvlTBEknEySkckYQrlIgViUufWb7gkcfCly+PQwUiReIQ7BMOmXWgrSGQYCFYbD3285c/++D4X//0xR9vjbv7mDL98c50+c7fy6Q5l3H83Yuf2zdvb+nu29Q/0LFtsGVzr7V1U+uWLTqL2dKMmZoa7Z3OOjvGFckefnLp+vxCdY1Zb7UaGxvzq6pKdbpSra5Eq6uy1BkaGjILC7OKCiqqdRn5BQZrY15p2WomM47HW0mPy1dVr88vo3NROioQJaYw+fIlTz77fCw/hqN47Knnnoh8DpXKE9PX8iQSHl/M4PIVKWksVChOTGYKRYrktMhnn38obOFPFz+ycMljK9bQdw/v9fdB8Ags691AkLsmgQA/cgQXCO6aabfjR45MEMxun04wYFz3TVCCCQS43U4EswNVg02Q1wXBKNt1DzZh8mY3GILgGDZxLijBPGV2eJgajLKjPGV2ksFmcdeBzFKCecosJV+eTh73XEwy2CzuEzBREgxCugeDeCBYbH3msw/+dOXPX3996fsbN7/F8T+TlPxn0vQXHP8L6Td5ERH+Lzj+r28ed/TtwDq3tPVu7di2vaHdWd/cat+0Cetw2tvbjTZb06ZNNTabKD4h8oUXi6s0SqNJaaoprtKoamqLVRqVqVZVa84sLi5SVqmqjety88p0+kKVplSrU6SmxdDpqFjCRvlpuSXri5UsvhSVKBTJaanZZdIN6ieWr170s2cWhUc+9tTTdDYqTkhk8gRxDI5ALGNxhRxUxJPIuGIpKpFHr2IspIU/NH/xQwsXP79qjWto2N8HwSPwAnMDlDtCIY5hOIbhw8NXLl7Eh4dv/wumI0euXLx41xwQ7MiR6QTDMBzH3TdBDTY8jB858rveXvCvXigEz9Zfnj378d69/+N0koNRtwvm+MzF7AbDsCtHj06YC2r2PWT2yvHj1GCUHeUhs5MMRs3FTHYdyCwlmIfMUvPl4eRxz8Ukg83mPgFZO3t2gkNGBNu06fb9FsQDwWLrTy59+v2N7/985S9/+O7Pl3/45i83rn9zx83k6Rscn3A+mP508+bXV3744/WbL/3qX1u2bGto62ru3NK2pb+hvaOupa1pU0d9S7MoMSmzoKh1c7epvl6gSIhcEVOs0alNNVqzpUJvMFgbyrX6fKWqstqQW1KeU1peUKHMLiopqFAmZ2ZXVBvyS8s5fAGdxV4dG5eaU5hTUcVChVyhhCMUS5Izkopqnnw+5ukX6T+LfP7xpc8yucKEpFSeSCZRpAjk8WxUwhfK5YnJDJTPYPFXrGY9GRkdRgtfsOTxlXQmtHVQAcodULoFHiEhIW+++SZ+d014c3PzwoUL/Z00yAPK7XuIQL1kAoFgsfWlL7/E8Vs4Pn5r/Ob4+K0fxsf/dsfNf7sz/ZU0ETO/uTPnL9dv/L9///0vf/HLC59d6tk90rJla8vmPmffYGtXT01zc11Lq93ZUaBUPRH1XH5lVUtnt6HOmrhufeTKmIqaWr25TmUw5StVRWq11lyXX6lSm2qNFpvSZC6oVGcWlmhqLQUqVbFak5qRyZdKULF4dRxjbWFpsb6WxReJ5QppfKJIkbiaKfxZ1AvPreY8s5IZvuy552PoYkUCmycUiOXShGS+RC6UxqNiOZ2DMlFR9Iv0xyOeoT3yZNji8Bfj2K49sCYcMksgCJKeno7fbeuYmJinn37a30mDPKhgGKwJ906w2PqzLy7ewq+P47fAvz/g+N9w/Fsc/5Yk5m89TGDp+c8vvf6L11997dB/Hn3H7tzs6Olv6e7r2b6ntaunpXtLU0eHo7u7xt60fBWjQl/bvqVHYzIpUtKejYmtxVr0tWalvlpVU2NtbdNZbJraOpXRVFltVNVaKqpNmvqGAqVmbW6eNDWNL5O/yIjjiEQMLppRVF5ebeEIxWyBUCRVSOKT5CmpMQzukieeCY964annXnzq2WhUKucJpQlJyTyRhC+VC2RyoSyBxRWx+cLVTMGyp1eH/eSxBQsfe3ZFzCDsEx5MCAS4QIAPD/s7HRPz6KOP/uQnP+nq6mprawO2fuONNxYtWlRSUuLvpEEeVKCtfREstv748w9/uP7N1Rvf3hq/cQsf/x7HvyNNE0qavOg7HP/tG2/+4tf/d2DnrgZHh6N3wNG7rbG9w+pwNjo7HVt6HL29LVu6q8y1Kxk8i93RtGmT2mhMSF/3/CpGdb1Na6rRW+r0Npu+3lqq0RepNQUVyiJV1brcApWxJrdSnb4xPzM3v1KjWZe5YQ2bvZLBjI6lrysqVZrqRYoEJg9FhVKuSCaSxyelZSgS02PZ/KXPRYdHRDE4KIcvFktlcWwuKpEzUAGHL4qhM5lclCtJjHyRsWDBY2G0x56Ljt2xc4+/D4JH4AXmBtFjKCDJyclBECQ0NFQikQBbS6VSBEFOnDjh76RBHo9TwEgAACAASURBVFSgrX0RLLa+dOnSzVvXr9/84eqN76+O3/oBxynT93cmYs4V0u8//XD1wOv/cmjs/+4a2tPVv7Vzu6tlS++mnl7M2YV1bpYmr23essW5rb+sWhfLFdla2+tbmit0enF88nMxdFOj3WC1qU01BltDjb25vNqYU1ZusjYUq6ryK5QFSlWZVl+s1heWVxZWViiSU5gcLiqRoRJZysb80mozXyLh8FGJPJEnlAgkMrE8gS+VC+XxyWlrZfFJYIRRiTyejQrXsFh0Flskk/GEIhaXx5enPL2S/dOHn1q05Knnnluzc+eQvw+CR+AF5kZg2xrH8YcffhhBEDqdjiBIQ0MDgiCPPfaYvxMFeYCBtvZF8Nj6Mxy/No7fvDU+fnV8/Iqbra+Q9HzlblVfwfHP//zNL8b+9eWfHzz0q1/ufeUlrHOzvaOraZOzpau7raeXKYpv7OjsGhgs12kZqNja2qqx1BobGiRJ6c+uYVQajdklZTWNTQartVRbXarXa0wmndmSmJFZWqU12RrVphqt2SpPXSdNTk1IX8vmC7lCsUAiT80uKNHXrqYzno+J4UmksvhEOosjS0wWSOUCsUwklYnlCnliikAgXcPi8IRSJhcVy+RymYIvFK2Kpb9IZz/7wppHnoikPfLE089E79ixy98HwSPwAnMj4G1tNBpDQkKQOyxYsKCsrMzfiYI8wAwP324/gnggWGx9/uPTf/nuy79+//XVm1ev4/hVHL+G49dIP7xMN3D8fy9+dmjs1y8deKVtc3dDm7Nr62BLR1db95bmjq62np7UjXnNXZubN3duLCpC5QkN7W06i6WgUrWGJ3iBxTU1NqpNtcrq6qZNm3R19eV6bXFlZZGyskSlKlKpKvQGtdmcW67U1Nauzc3NyMsTyxVCqYIvlqblFFTWWNlCoSI5WZKQwBWK5InJbC6fzeYxmGxJfLwsIVEgljPYXLEsXiRRoBJ5HF8A2rm5YjFPIlsW9eKj4ZGLH4l49Kmne7YN+vsgeATa2o3AbrcGNDQ0/PjHPwZV4snJyf5ODuSBBvYJ90mw2Pqzzz+/NX7jyo3vrt68fh3Hr+P4NRy/PrnpJo6f+uCjQ2OHDv3zwfWFJU0dXdjm3vberVhHV9fAtubOjryyCvsmZ5NzU1ZBgSQ5zdxkb3S0p2zI/tnTzz8bQ6+qqSlQKU0NDWU6jcpUU1mtL6tSbywqLNNo9eY6Y2Njta2hWKPLq6hMzFgnT01lcFE2KuSLpOvyi5XmhjgeykL5HKGIJxSxeXwmj8/hC2SJSSy+gCuWslHhmjiGWKagMzksniCOg/KEEi5fvCqOGcdDn45es+SJyIWP/OzxZc90923190HwCLS1G4H9BhfBggULwLO10+n0d1ogDzZgzBb4vrVngsXW5z48d+3G1Ru3rl+/dcvdxzdIP27c+ffGHVXfwvH3Tp3+3X/8tq3DUWGsbenu7dw62NzZ3bltoLO/r21zV3GVtraxsaWrM6eoKClzQ30LZrI18uOTnnouOikzS1dfl1NRml1cpKmpKVVrTA22QrVKV1dXVKkqVVaVVlVll5alZeekZmVrzXWZBYUcgXgNk80RCDPyijSWJiaPz+TyJIp4aXw8KhDT2RyRQpG8bp1QJovj8oUyuVAqS0peK4tPkskT6AwOkyvgiSRMVMAWiJ5Y+iztkSfDFj9Ge/SJzu4efx8Ej0Bbu3HkyO0xIgKboaGhn/zkJ/DFLYj/ge3WvggWWx/5n3//8NIHf73yzY3xcbKPb+D4zTvTjbunm6TprePHD//ut8rq6s6Bwa5tgx29fe09va2bu7sHBmwtzaU6XUObo6axIX3DhnU5eRbMjnV15ZRVaM2WGrs9u6xEY6ktVquVBqO+rk5tNBmsDbp6m9mO5RWXlSrV5Vp9sUpdotYarA3r8/I5ApFYoeCKRCkb89S1DXyxTCCWiuRykVzB5PJ4EslKBoMnFvFlkvjklITUVDqLzRGKuXyRIjFJIJaxeEIWX7g6jsVEhZL4JDZf/OwLKxcuCW/v6PL3QfAIvMDc8NxujUC8gs2ssd/fyYdMwKSO6bRsffToUewOfX190zxpggQkSGz96Rcff3/9r99f/278bg2DR2dP0ziOj+P4jVu3fv8///Wf//OGa+9efZ3Vsbm7rbu7tbu7dfPmzq19NdZ6rdni6O4u1emlKekqg8lYX2/G7E2bnPkVFRXV+uzy0iKVsrK6ukyrq7bZKqoNxWpdqc5YVWtWmWpySsvyK8rzSsvzy5Xr8gvkqamxbDZXIBSIJcm5+ZUWK4MvpLPYbJQvkEp5IrFAImVwuHFcrkgmk8THo2IJC+XzRWKRVL4yjsHgcBlsTnxKikgiY7B5LJ6AiQq5AjFXINkzPOLvg+ARaGs3oK2nC7T13ONe2PrQoUOUrcybN2/VqlUFBQUzOX8CGSRIbH3p0iUcH7+F3wICvkmSsfcJx/G/Xb322yP/9pt/+82+Ay/bWtrae3pbuze39fWa7Y0dW3vNTTaTrcGxeXORqoqnSCxSq40Ws625ua6lVWO2lBuqNWZTkbK80qDPLimprNYrTTXleqPB2limMxZUKJVGk6W5paRKk5q5cUNhcUZerjQpiScQ0pmspOwcpcXKlchkCYmJqWmyhESxXJGQlEJnsZg8nlAqY3B5Ipk8jsWJY3NiVtPZIlF8ahqby1sTx5DK43l80cqY2DgWj8nmxTE4u3bB962DCK+2FgqFGGQiJluye9vxt/UACQTuka3ffvtt8EYD2V4OhwM4OzU1ddrnTyATLLb+/IvPxvFxMJbZZCQNPH3l6rWB0YPOgT1jv/nNz3/5y9FXD9id7c7enubODltbm93p7NzaX2HQ1zbZm7s61+cV8uOT9PVWtdFotjcpTTUaS31upVJtNORVlJdoNYYGm66uTltvVZlq61odSmOt2lijNtZU11kLK1Tlam1eWcW6vDx5cpIsOYkvEidl5VTVNbAFYg6fL5LLeSIxhy9gcnlcvkAoFrN5vDVxTIFYGsflJqamMNhsNspXpKTwJVI6ix3LZDE4XBYP5QnFLA5KZ7B2wLHMggmvtp5U4fVAMlu2nq30QGbIFGw96V5mTqcTeGv79u2URceOHRMKhaGhoe+888600hvQBIutP/zk3LdX/nz95nXK/O+vXL146Q83bt4cHx8nz79248Zv3nizsr4d69k+8vODu0ZH97z00tDLLzU4Wls2d7Z2b27p6mxsa2tqb0vLzrPYMVubw9TYqKurq7bZ9Nb62uYWjbm+TKcv1RvUtWZVTW2xVluqrdKZa5VGkxlrNmNYS1d3sUpTqtFoa8xFSnVeWXlueaU0OTmOw+GJxTyhKCEjq6qugS2UomJpfHKKJD4hPjlFIJZwUL5QLOEK+fLUJCYPZfP4qFDA5LDYfB6bxxNIpHEsNpOHcgQCNp+/hsVazWSuWL1mcOfO+7i/pwYsHN3w3Ccc2toL0NZzjCnYeopxrlq1asKlBQUF8+bN6+jomMUtBgjBYutLX166devqjVs3KfO/+MPlQ7/9XffIL3/138c//MMfb95R9tsnzxbXtensHQd+Pbb/9deHX3ll6OV9+159xdBQZ25usrU5mjs7sa6Ozm39PEVifUtLpcFQrFFXVuvLdFpjU6O2rr7a1lSs0xmbGjV1lgK12mhrMFrrmzc5Kw3GUo22RKMtr9Lpas0qk7FYXZWWtdHQ2FiDYelZWVyBQCxTcFC+JHWttr5JqEhmcHnypGR5UjJPIGSjfDZfIE9KEivk0vh4sUwuksoSUlPE8fIYBn01I06qSOAIBByBgM5ir4qlr2EwVzMYcWzOriE4llkQ4blPOLS1F6Ct5xhTsPWkR0fxGedcvcSCxdZffPH5rfEbt8ZvUea/e/rcK//0L/rO7dVdu+q2jW4eOfTSr//9t//97uado7WOzZ2DO7dsHxx6ed/WHYPb9+zatW+vCWts6Ghv27KlpauzpasD69hUVVOjr6uvbbSXaDRKo9Hc3KK32eod7YaGpiKtpkyrUZqMBWp1mVZbqtEoq43qmlql0VhcqVLqq1XV1TnFxWVajd5SX2PHau1YetZGVCyWKRJEUpk4JVVb38TiS9cwmHQWWyCVyhIS6Wx2LJuNiiXypGQmikrjE3giEZPHQ8ViVCqRJiSwuTwGh8vgcplcXhyHw+Khaxis1QzGDhesCQ8iPI+OMleLklkB2nqOcS/arefNm+c9zpCQEIfDMaV0BgXBYuvPL31y49Z1SnX3zZu3fv3/frd1+CVN2xaDc6umra/a0VPTvqXSgpmbna/88tDeV17Z+/K+wV3bt20fGHBt7+zpbnK217dilubG+pbmpk1tDY5mc1Njnd2uN9fWNNg0tWZDY6PB3mRotKvNljxlhdJkKNVUmRvtVTW1alNtud5YptOX6bT55eUZOTkZebmVep19k7NIWbWxuDQpYz1LIFjDZPFQAU8gZInEuZVqjlgmS0pMTE/jS6U8oYgrEDA4XCaXxxdLeEJRHIuNioQ8oSg+NZUjEnHFYq5AyOEL6EwWncWms9hsHspB+ahQNDQMv5gZRARnu/WxY8cwDBsbG/NXAh4EW4OXjkZHR0+fPn3fNjo0NNTX13fs2LH7tkXAvbA1+BRNdnb2hEvT09MXLlw4MhK4r9BMm2Cx9cefX7x+i9pofeb8hVd/9c/dA4O2llYr1op1bKl1OPPVmrIqXceW3gO/+MXoK6ND+3Zv27lt2+DWnm19rj2uxk2ttraWJmebtbXF2GjVWcwGa31NY4PJVq82GSuqq6vrrfp6m97aoLfZKo3GKrO5uq5OpdfrzJZ8pWpjcWmxUlWsUmWXFJdpq/IqyvMryiuq9TklpVkFRckZmfKUNL5EyhEI1rBYdL4wq7iCzhXEcdgiuVSiUIilchaHy+MLOTy+RCyTSuVimVwklcSymIrEJFQsEcsVYoVCKJXROZw4LjeWzX6REbcyLu5FOn0QPlsHE/fS1sQrK1NaNBloNJp/bedfW0dFRd2HeynQU1qhUIyOjnpaShAVFZWVlTXzjYLYaDTazKOaxnZnvU/4qlWrPB3lwL9dmzbBYutLX14axykP1jd/9a+HX339V6MHXhneNzToGrS1YPkVyvX5hYO7d75y8NVXDr667+W9Q/tcWwd7t7sGB3dt37V3T+OmVou9wdaC2dvbzfYmSzOmNVvMdkxlNBRrqvJVlWXV1WqLpc7RamxqLNHpijXavLJyncWsr6vPKi6xYM0FFRVmuz2vrDSnuDivvCy3vCyrpKigQllcqV63MSc+JV0gkQmkEhafhyYk5av1qDSew+e/uDqGKxCwuahIKmNxeXQmi83g8PlCkVQex2A+v3Ilg8Nh8XjxySliuVwskwvlcp5YHMtkcQQClkCwmsPevht+1SOIuPe2ptFolOFCURSdhq1HR0eJYSVCQ0OhrQPK1oDw8PAZbhTEExoaOsN4prfdWbe1xWIJCQmZN2/em2++SZ6vUChWrVqVkJAwvdQGOMFi6y+++GL87jnXrl//59/+28uvHth/8JVXX9v/i386ODyyu6WtrXVTW3fv5n0vjex9Zd+OPYO79+7cuXtw6/a+bTsHBnbtrG+x21rsliZbQ2trtcWsNpm05jpzc7OmtrZEU1VRXZ1bXm5qbKpusOnq63T11kqjsVRTVapRl2t1ZVpduUGvMhnNmD2/okJbU5NZkF9lrs0tKy1VVeUXl6/NzJYnpvDFMpFUyhML0MSkkuoacUKKWBbPRflSuZwvFMkTk5hcriQ+nicQcbgok8tTJCSuZNAl8QpUIuGJJGxUEMdgxTJYcRzuagYzJjYujsWJWUPfvgP2CQ8i7mW7NYIgK1asoBS+fX19CIIsX758Srqi2L27uxu8JjuT5M0EaGvyO8qdnZ1ZWVk0Gm358uVpaWkz3CiGYYOD9/vTQJO39ZXjx/HhYZ8fwhkZGVm2bJnT6RQKhRR7PfvsswiCrFq1qrS0VCKRzDDlAUiw2Pr0hx9Q5nz6xRfDr+x7af++Vw++9E+/Pvjqay+99MpQ/8CW7Tv79wxv37PXNfLy8L6X9w7uGhjcPdC3va+zr1tZrbW1YqYGq83RbGlqtNgbzE2Nhro6tclYrtPWNDZozLU6S11tE6Y1m9Umo8Zs0ppr1SZjiaaqQqerbWosVCnLddpClbKiWl9QUZGRk6PU6zfk56/dmKM2mtSm2sT1GXQuh4miDA6XK01U2ZrZYnkch8dgc8QyuTQ+nicWMwV8rkjEE4hEEplYIhMKhc+uWMHm8VChmMnl84RiVCCUxyeiQjGHi0bHrI5jselM9s5du/2y5ycDtLUb9/INLgRBwGN0dHT0wYMHwUzKMxk5/MGDB0EV94oVKwhDuD/DYRgGdEVefWxsDHwDOyoqymq1Hj58GMwfHR0l1jp48CAIMPOhHwPZ1uAOiUajTVg1nZWVBWomKLEhCEKn01UqFTF/krYmxxMVFaVQKIg5Bw8eDA0NRVHUarVSVlcoFDQaDRwIcFDAiiBOciT4naoUFEWJs4gSEtwCZmVlkQNMiSk8W0/ufeuRkRHKeUssAr3PANDWfuSjjy+Mj4/fuvX3PuHHT59++eevvLx/38uv7P35z/fte3nX0PD2wR297Zua9+7buXt45569u/eODm3b3tc32NszsMXR0ylJTqyzNzQ5mq3Ndmuz3daCqWuMtVZbdX29pqZWU1O7Njsnu7TEbG9Sm4xlem2JTlOoUlYY9OpaU05paaGyMi17o95aV6KpKlKrVNX6vJKSpHXrKrTanJIydU1tuU4fv3Yti89HRSJUJEYTUpWNLZL0DBZfwBEI4tgcgUymSE1NTl+blL5WJJMzebwYBoMeF/fC6tVCmUwsl/NEIrZAEBvH5AvFsUzmyjWxL8bGMnk8Jpfn2g3HMgsi7uUbXMAZlHIQlPKpqankIuzdd98NDw8nF20hISGhoaFvvvnmZGx96tSpJUuWUIIdPXoUJ9laIpEQ38melQrbALS1w+Egfwsc5LSoqAgsfeutt4gWBARBcnJyyCkhIMrZqdpaLpcvWbIE3CKcPHmSOEYIgoSGhsrlchDs9OnTxFkRHh5uMBgQz7am5CgsLCw6Ovq9994jh4yOjiafNm+99dY0dilxavkOOrmacC+2Js+EtvYjH3/yybWr1/74pz8Tc/77zTf37N0z+tLe4ZGde4a27XD1ulxbtw10b9niHBrZsXffnl1DrqGR3f0DPf2Dvf2DfY4uZ7GqwtZsr7bUVug0Jlt9S5dTX19XbbEUq1SK1HRUquBL5cVqldJgyK8ozyopzlVWVNfXaS3mSmO1rs5SoKzU19fllZeVVKlLqtSlKlVhWVlJlTppfUZCxvpyo0llqknJ2MBG+ahYgorFfEVyVUMzUygViCXyhESRXM7k8kQyuTQ+ITE1LSk1LSk1TaxQoCLhC6tihBKJRCFjoTyOQKhISGJxeKvW0LkCIRvlx8TFxbJYrt3w2TqIuMft1hiGgcKUEGR4eDh4qCIXYaDoX7JkCZBuREQEUXpOxtYRERFhYWGE74GTwsPDXS7X/v37wczly5eHh4eHhYWBQr+7u3vmWZthDMis2vrs2bOUHUXpiwe0FxUVBeYTVdYKhaKvrw/DMLlcDnbU/v378anUhLe3txM7HywF3aFlMpnVak1ISACJAU/SiYmJ4BiFhIQQB3pCW+fn50+YHTqdToSk0WjkW5BpH5cprAu/weWLYLH1e++9e/Hjj7786kvwhD0+Pj564JWebVuGhl379u10uXp27tji2tm/daB7h6t/ZJ9rz7Br+86B3UM7evu39G7d0rut11Rv0ZmMtbY6k61OYzaamqyW5sbiKnVSZiZHJEpan5m8IatYXVXXgmnNtQWVFfkV5aUaTXZpSX5ZWZlGU6rTFGuqynTaIpVSbzFX6nT5JSX5JaUFlRXlOk3C2oy0rOyEteu4YmkMnUlnchlsHkeq0DU6eJKE1XQGg80ViCUiiYzHF/500cOPPvHE08ufW7kyho2ibJS/7JnnuDw+l4fyhCKBVKZISEIFIg4PZfNQnkDI5HDpTNYu+GwdTNx7W2dlZSEIQlSHEmU6uXAHFeYKhQLUZB4+fBhUaxMVs0RZDP6l2JpciON3eozTaLSoqCiXy0UIYGxsjPh3VrI2wxhm19buWYuLiyO2AvYnqOsG9nWvJyduoUAMU+1lRqPRiL7cyESAaIl/nU7n4cOHVSoV4sHWxB0AWHF0dJR8/0HeLn53k8c0dim09SwSLLZ+663/vnDxo8t//Pr6tWtffPHF3779ztm75aWfv7xvdM/I3u3bt3cPbOsa2Na9c2f/8IhreO/OHa7BrI3re/u7+7b1b+7d0r21r0ynaenqtDTZahvqNbUmc3NTdb0ZlcmECkVGbm6V2dLgdDZ3dTW2t2lqa3LLyzYWFRVWVORXlKsM1eZmrLq+Xmkylut1hSplhVZbqlYbzZbswsJ8ZaXeVp+WlZ22cWNuSVlS+lqhVMblC2MZTLZArLe3MfkynkASy+SwUT4b5QtE4tD5Yf/f/Pk/nh+2JDwcFYu4qGD1mji+UCKWK+JYnFVr6HQWm81FeXwBi8OLY7DW0BlxLPauPdDWQcS9tzWO45GRkaBm2+l0EpWl7vZNSUkh1s3IyEBINaKTsTVl0wDCQETkc9XW7lXT77zzjrvbXHe/YXn+/PmioiLweEpptpiqrZcvXz4wMEDOHQXC1hERESiKgpDgJmNCW1MOOo7j4OmfnKO4uDiw6MSJEzM5slNYF9raF0iQ2Pq//uc/P/jw3KlTxz/79OMPP/ro8h//tGPPzj0jrj1D23fu6Nk+2L21v2Pr1s6BwZ7hvTu7utv7t/Vgzbadu1079o06t25t79mSWVBQb2+ptdbXN9lrGxuMNqu+3pK0bm1mQb7N4XD09Lb19rV0dtU7Wiv0+tyy0oLKitzS0uLKyoLKyoz8PLXRoDIaDNb6rOKijcXFOaUlutranOKirKKCAlVl/Np18WszSqo0CWvXihXxYqmMg/K5EoXG1iJNXR/L5PBFUnF8PIPH56LCnyyghYb9dD5t0dPR0YqkJHlCAovNZfH4fLGEzeXyRSI6i8nmo2weyheK+AJRLIvF5PKgrYOK+2Jr0DYpl8tBByhiKfEbzCdaWHEcT09PJ8+hFNyTsTWoG9+xYwelIJ6rtgbfkCDHSbQC4J7feZPL5WFhYampqVartaysbBq2xjAM1HUD6ZJzR6PRHA4HaM5wOp2gJwFyp9oDhAS3UxPa2j3N5FcJyCHJG73ntp70yKMPLMFi69//53+cOv3+8J7dr/785/925Hdvv/P2DtfW4ZGBXbt6d+7oGRjYvH37loFtXT09zn2ju+3N1sGdWx0O+6DLtefV1wb2jjRtcq7LyTU3NhqtdWab1dLYWNvQYKgzV2qrjPX1jc6OEq1WVVPb1tOrNugzczauzd5QodVUWyxVNaYStTI5Iz2/pKRIqSzTaiv0uiK1SmU0ZJcU55eXVej1a/Nyyqq02UWlRZUqRWqqUCYTCIV0JitOINE3tKZuyKXHsRTxCWK5giMQSxQJP1386EMLaLQljzz7QjQqEfPFYg4qYnFQFocXy2SJZHI2ypfFJzI43JhY+moGM4bBQKXSoQAenAfa2o37YmuiltKTYkE9LdF1HHTeRhCEeAID/6pUKjB+mbutw8PDiZpwYkN0On1oaOgBsfXY2Bgla+S2ZFDhjJA6ThM1HIQpyQLGp9jLbMKDC7oOEGkGP4jneKfTSRzoCW0NzgoiPURVP6j69putJ/0NrgeW4LH17998++3uQZezt69rW/+27ds2927aubt/69ZNW3vbt/Y7e3vae3vbOzqw0Zf2bOnr2tzT0du7efuePXsOHOwa3GlztK3dmGOx26vrzEqdxlRnrm/GTPV1uhqjxd6YsmEjSySJ4wvyyitsGFZbX19rs6VmZqZlZZVrNLklRRuLCiqrdTmlJXn/f3tn+tzGlRh4JMWqYbLm2BBvEABxEgQad1+4GvdBAMTBEyRI8AYB8BRJHRRlS7BMSdRBSbREW+ZMKFtKanYrrh1/4H5KqbS1W5NSItmynLhmEqfiP8Mfez+8uBeDJmVeEg+9X/ED0P36vdf92P3DO/q94eGBXDZzcnr2/ML4qbmBXHZobGwgmxnMjLV29w6M5oLRmNXpcHk9pMVqD4QmPrhk9wYVDUqCMLu8fpvD6QuGy6tq33m3vLK6VmswOH0et8/n9ja53f7m5ihptZmtlNlqC4UiTo/PYneYKTtps+Fm82/+Bq7qcYR48IB+8OCnb79l79lfpYEnb0lJCTM2uPDhvrS0xDTDAsrKyiQSCTOtislkYnaxR5mlUqmiw0tLS8Hzgt2d+YZt/cknn3z55ZebxrBHWxfxj//4j+AKF25EEMRms9E0vbGxAV78BZSUlJjNZvrnybYAhYP76J2PCQc1bARBVldXg8FgUYkwISORCJPJkpISEGxTWwM9F55RZWWlz+cDLS6FIQsvKaxbHzicI2Lr//1//8/K+vrkwvm5D/NTH174+P7d+2u3PvvN7Y/vXv349uKd5Y+Wb35040Z+9d6N+599fOPWtcWr+d/+9rNP1j//7O++vH7v07nz5xN9/bPz8yfPnJk+NTMxNz19Zi47OdE7PDB19jRG2XWkxe4Ntvf3J4cGrR63t7k5muhMT08Nj41196XaksnewaGRsbH05GTvyEhPeiQ1mu4eGWrt602ODA+MpJtbO9yhcKQjYTSZFAii1Gob1GrC4Z44f7GppdPrDdhdHjPlcHjdwXBzDY9fxq0or67VYbjT53V5vTabw4iTuNlCmCw2h8vqcFqdTtxkRgkSJUjSYiUtVjgm/EjxmmdHYWIAT14Mw5jJvYue9SsrKzMzM8ybtQsLC4U9rC9evAC+B53f7PetmY1qtToQCNy+fRtsP3BbA98Eg8GiRVm5NAAAIABJREFUua/33dZg1/LyMtjL4/FyudxXX331pz/9iTlwcXERXEYul/vs2TOapr/99lvmnfhYLLYXW9M/jxYEdd+VlZVsNsuYuHA+uwsXLkilUgRBZmZmQAN+0WiGQgcvLi6CjdFo9MaNG8wb1Qdma9hv/UscFVv/r3/4h1hf/+z5DyK9vaGe7rXfrP72s9ufrd1avXftzs1Lt29+dO36hzdvfrRy59qN61du3Vm+tJj/6PLip3/z6NMv/kf+5p3RkzOdqdT43OzM2bOnzi3MnZsfOzmVnhgbHculc1mz2035A7FEIpkemp4/l56anvvgg1MXLkyemWtNdPhDTfGOjsz4RO/IcO/IcF8mMzY3Ozo9lTk53Zrqjfd0dw0NdfYPDOTGU+mM0+dHcYK0WkmrlbB7xs992BTrdHq8JpuNsjtMZrPD5a6urSt7r+K9yhq11mBzOj0+vy8QtFopt8fndHlw0mx3uEiz1WKjSLPVZndgBKk3Yp+twZlHjxBHc1WPA2f7F6eqqgqYQCKReL3ewhh2bevjRNGvjYPNBrT1vnBUbP3f/+eXtubm8TPzVLwtmR29defqvbvX7967unJ78eaND2/dXLxx8/Kd21ev37wye+rUxOxseiyXHBy89elvV/7mbz9cXkllMgOjmbGZmbG5k6GWOGYyWxyOWEfH8Hg2Oz1p9Xhiia5oR0f/eOaDq1eHcxOtyR5vpDl3crq7rzczPtad6k329fcMDkY7O3uHh2bOzfeMDLenenvSI73ZzPT8uf7RbH8215fO+PxBjd6g1ukRjUZH2nPnL7mDcTWKGsxmr8/v9fndft+Jyup33i1/t6Ja2qDCTRabw+Xy+gizhaIcTrfXZLYSJrPBiFltdpQ06TAcN1twixWub32kgLbeFdu/ON9+++3ly5flcvlf/MVf/OVf/iVFUS9fvqTfYlsvLi5SFLW+vn79+nVmTpt33nnnYHMFbb2PHBVb37r/ia+/Z/TMmabhoYtLi5eXLt65feXGjYvXrrx/9cr7S1cvXL584dbylcmpMavD2dM3OHf2zMy585988Xcr63/74c07bX39fel0bnp6bHY60tHmi0X7Rkcn5+Y+uLw4dWYuEIslhtPJdDYzOzc6NU1abCq9HjEYs1OTk7MzI9lsorcn0tLaNzIyPDHeNzqanpgYmZiId3ePTE6MTE1NnDnbP5rpHRlNjWbcgSYjSVpsdpPVhjt9uYV8U6xTi6KYxYyTZrPd4QkGa4SiX5+oebeqRqXWWimHLxQ2WW0GFLNSdtJqI8wWs42yu916DEcJ0myjUNJkwHC4vvWRAtp6V4DnUX7bZLPZEydOACWUlZU1NTW9tbbOs179KuwfOShATvTboaZGz+Hoa2q2FfjtQ6VSHRVbj05P20LNPblxg9d755M7K3evXbt24eqV89evXVi6+sHFi2ffPz936aPzw5kRzGYLtbTGOtoXLl+9+/nvFu99djq/6I3FB3LZydOnJ+ZOtqe6R2enW3uSbp//1MLC2PR0JBZvaetsaUt0JlMTszM+f0CPoSKJdHg00xSJ6HGcL5GYKFtHb8/w+FhbT8/wxHhiaDAxNBhJdCb6+0enTsa6Es0dnaF4K26xNmq1BowwEqTJ6Rs7mw+2dpmtNp/P5/EH7B6niaIQA1pbLymvrpE2KgnS5AuFbA6HASfsbg9hs3kCQcrp9jY1kVabxWq3UU6KctlszvX1zw+6ELbkbXw4/gLQ1ruC3W28I5jxXAd9HgfDwsKCVCotLS0F06iBN7sOlj0WKKSII2Frb2s80j8Q7x+MDfQv37t5a+XK9aULVz+aX7p6/vLlhYX3T2XHh5P9va6moMqIaUiTMxyamD9/+qNrpxavnb9y3dEUHp6YSE9PTczNDOfS06dn/JEIotHmP1rMTky4HU6DVG7TaFubQ1OnZqKxWCAQUCOauTNnbQ4nZrHoSbKls2NgZLi7LzUyMT46OZnKZnJzs92Dg33ptCcYbuvt8YSaO5Mpl9eHkyYUxVVandHqHDtz0RduNRKEL+B3en16HKdcbkdTswo1VdbypI1K0mxx+fw2lx0lSW+giXI4zVYLSZosNithNhlQg86g02i1fIHw9u07B10IW/KWPhxfxetc1eMYs4vnF3innMPhvPfeeyKRCHw+6POA/BegOOA//FuF1uPsPznTMjzcOzN16971pev5W8uXblz74MrlcxcunD597qzF7VJhqESjEzYgfFlDoxELd3S3D6ZPXrw0f+mKxePrGhrsSQ/7msOJVHJ2/kxbV5fd6f7o2vX0WM5lt+ukUjOi6ozGxqYm4vGWcDhsNBhPz8/bPV5/NNqRSqWGBrPjY8lU7+BYNj0xMZDN9GUznf19/ZnRcHtb/+hoqKU10Z1ye30UZbdYrGqtnnT5svMfhFq7cLPJRFkpl5tyeSiX2+Lxo3ZXtUAgkTeghMkXDPrCQdxscvn9bp9Phaj0Br2FslntFErguMWkM6K/+uv/tnj5ykEXwpbAhyMLaOtdsf2L8+zZs6tXr/7qV7965513ampqurq67t69y57JBHKw7MDWsN/6uICYzL3ZrCsSTY9nFy7O9eWSse6QP+qMdkU9YR8V8CMkIdXqasXSE3xBeX19Zb24Qih1hVvHT59PDKaNVqq9L5VKp7sH+1u6EhMzs5F4LNbesfBhPpnqMeOYRiwmGhu72tqGshmP1+dyu60m09nz85HW1r7R9OTpUx19qUR/KjnY39bdnR6faO/qTvSmAtFoc2trIBZLDg01xaJd/X1Or5ey22x2mwHDcMo5PLsQ6Ux5AyEz5UAJ0kiQJEVpMEKNEvVyRbVAaCBIT1OThbIr1Rqb02FAjToMtbvddqeLIE0EQaAoZsSIX5X9+tLlywddCFsCbzAWB9QSvr6+vvdlK3+Rx48fv6ZUtn9xmMFl7e3t9+/fL4zhkNt6bW1taWlpZWXl3/7t38CHXzzk+++/z+fzm77xBXj8+PHS0lLRy2yHAWjrt5AGwmhwuZUWq8Vvk6MKgUbSgCtVJKKjcK3ZrDBg9Sp1vUpbXS+pEIrKhfXcOoESJbvSudGTp13BKGlztCWT/enhvuHBgZHhqdmZSDzW2Z089cFCMtVLGA1aiQRXNPT39AxlRmPxeCDY5HE6ZudPh2Px7v7+wWw2PTmZSKUyk1MD2WxqZKQ9mexPpzuSPS1dXYFoNNzSSnm8Tp/XQGA6nV6nN6hUiFSp6RjO+qNtLl8TbrK6XG6Hy4mbLWKZouzXFe+eqDxxogrR6nxNQafbrdbqHG6XRqe3UXaMIA04ZsRxPYrqjUZEqyl7jwvr1keKXdl605beHSb7X29O7ybPhyCV7dsavLh18uRJdgyvydZFM8dxudyi5aJ/EWZaNE7BIldg9rFXHwhGkBUuZ14EE+eO8vMGgLZ+CxHpGhtITKBV1evkPJWouqG+XitXEholoZfqdQhukqi1UgMqaFBVicTCRpVIpTZ5A/HegczsacLpNtkc0Y62eKK9Z2ggOzUxPj0Zi8d7+wdm58909fZgWq1WJjM2NIwMDfYPDzdHIr6A3+/2TM7OtHZ39aZHAi3x1Gh6ZGwsOzWVGkkP5XI9I8ORtrbuvr5Ef18gGm2KxjuTqbbOLrvbpdZqMQwzGg2yRt3AzLlAvNPp8akQvcliw80mM2VHSVLWqOIL62treDKFgrRajJixUaWinA61Vmux2ax2yuX1YCSJkaTZZkUJ/ERFxZWrVw+6ELYE3mAs3pStv//++8IqF4fDKSkpWVxc3EveN03l+++/f92p0Dux9crKysOHDzeN4c3YmkEqlT5//nw7MTCLZxRSWlr6i1cS2JpZc5PJD/OZiWp3p/b6gLZ+C6nXyKQoIjI0CjSSWrW4skEo1DQghFFnNjUYDTUyabVUUi4Wv8cT8MTyE7V11WKx2kTq7TbM7ZCjOtJBNcUj/lhz92B/bnpyYHgwFGnuGxrKTU+1JzoNiEYrkRplsqGhwURPMhAIuH3eJq9vJJdt6+oaSI+mRkZ6BofGZmc6e1OjY+OpkZH+zGhrd3dbT7Klu7u1uyuW6E6NjHb2pBwejx7DLVar2WzWYZahmXOBaLvWgBqNKIqTOhQlrDZvoMnr99vsNhtFmaxml9dtoygjakQxFFFrUMKEEoTd6bLZHaTZYrLaMNJUVVWzdPXaQRfClsAbjMUbsTV73iuKorYvj23CfuCCscf7mwqT1t5nQ3tjtmYmDN/mbxfmQPD62eLiIliH4xevJEg6EAj88Y9/LIyKCbCwsMDlcjs7O/dygq+DHdgazjx6XBDrZQKtqF4r4alE/MZ6oU5udFoCra3t/QPWgF+q08j0ugph/Yk6fkUdv7xeUNsg4qvEfJWkTimpU8pEakUjqm006iLt7SdPz/X29YajzelcLjc90dLRrpYrtBKpXiYfyWbaEwlfwO/xekPBUPdAvy/U1JpIDI5mctPT3QN9rclkbno60dc3mMnEuxJtyWS8oyPW3tHS1dXR09vVm3L5/ToUI00mgiTURtPA9Hy4tdtksWAkSTlduNmsQ1Gb3W6lbCaTyWKxWK1Wh9OBm00YhlodlN3tNuIETuAGowEncIPRiBK4AUWVauTu6r2DLoQtgbZmsTdbbzORTWep3Hd28MDdj7QOv62ZHGIYVjhr9zbzti/ZewPlvi/s4J8HrupxXKhV1FXKaqvldQJEItU21CFiASJDCKx3OOOJtUi0Or3NpjSiIiVSIRLVKWXVUj5XUMmtr+KKa7ii2hOi2mopnyev90XC06fnEj3JUHMoMzGeHsu0dXZo5I0aWQNls89euDCSm0gkU/H2REeyt7OvL5pIDGfHwq3tPSPpRCrVlUp1dHeH4y3heNwfbm5P9rR2JtoSXfGuRHJgIDU05PB4dShqJHDcRMh16MDMuaZ4gjBbdHqj3e50OJwYQVitVhTHtVqtRqPR6nQ6g8Fiter0equDcvn8OhRVI4hOqzMajRiBS+SyxsZGnU5XOJLmsHEEnhpvml2NCd/qaf7y5cvV1VVQk+PxeG1tbeypMDg/L3colUpBGykTZnV1taysjMPh6HS6Fy9e0DRdWVlZWlrK5XI//fRTkMRXX30FwnA4HARBTp06VZSlrVKhafrZs2fJZLK0tLS0tBRBkIcPH4JpxUAewHTW9+/fB920CIJ8/fXXW122o2VrmqYfPnwokUhAuSwvL9M0/ezZs+Xl5bKyspKSEgRBpqamQCcC+0rm/3zCcLAxHo9HIhEOh1NZWcksbFr4s2yrEuEUTO797NmzlZUVMDkrl8stvOZMovPz89spkT2yfVv/9OOP9JMnm94ykKNFnYIv1Er4jaIaOb9ayquR8PmNUlsw0DI4GO/rb+kbiKX6HM3NVRJJtVQsRCQyo1yA1AtU9TxVfa2inicTVovqqsR1Jgc1kB6JxGOegG9kfKxnIBWOxxpEknCoeer9D6fOXxydms2cnM3MnRo7c3byzLmJ+fMnz31w8tyFyfmF6bPnkv2DLe0dsY7OWHtHZ7LHFwoHws3BaNTu8zp9/kA4YsTJBhXSiCAavbZeqUlNn3UE44hWp0LUBElabTYUx6xWK04Sao1GqVIhajVOEJTdhhoMqIm0UHadzkBgBIYROoNBZzBoDDqtQd+IqO7eg3XrI8SuVvVgP4gLn8VqtXppaYmZxusXPQrCFC3ZxOVyeTxeWVkZcHNZWRlwzKNHj3K53PLy8vLyMvhZQFHUixcvfjGVVCpVFD+nYEnHfD5fVlZWWlpatIbVVpdtm0/2V/Dq+PfCpramabqzs5PZDpbK4HK5bW1ty8vLzHqa9LZtzSw+XXitdmTrohLh/FzoYOVTEBWPxytK6HVcMXpHdWvYb31cqJXyq2R11dK6OplAgeua2jtjqT69xaI2mcKJ7rbUgCcSM1BWvlIk10sRs0KGSqSoWGGSSwz1clRqsOvsAcoTcHmC7t7hfl+4yRfwjZ+cTvR2d/X2GrVat8v7/s2Pc2cWXMGwBsUbNDrcarf7m+y+gJ4wazDSgJs1ekwollEuTzAWC0RjwXhLKN7S0Z0MhJtD8bgv3NyZ6jM7HCYbZbLaDBjeqDH25mbdwTiKEkajEcUxnCTUOi1pNtkcdowkLBYLRuA4SVqtZpxAwWeNTqfRadUaDYbjBqNRp9erVCqFovHjjz8+6ELYEniDsdjXfmvmmVsUnt0Sztmsbg2SSyQSQAZcLndtbY3pc2VnZlOLFAYrTKVwsWeapnEcLwzP5AEMew4EAq92w3af7Fvz+tyzla0Lr/Omv6KY/BR93crWYG/hemibFjT7K7A1u2SZQimMCiT0iyWyR7b6H9sEaOvjQo2YXyUWnODXlNfXqUzk5IVLoe5uZ8jvjUZDbR2Rjg6b16XEVGqLSonL5EaxzCiRGsRCDb9OWcNT1grUfDkuU5GNKrLRE/faw16335s7OZWdnpr/8MPZhffTM6cufXx/+lze0xwXq7VSlQa3OaKdXcFYi0SpFis19XIVRlpragUmC+X0BfzhaCjW2hSJtnQmQrF4tK3DE2zu6ElZnW7SZsfNJr3RKGtQUYEQSTlR0mTECIIwW+wUSRIkSVJ2O2kiLVYzYcJJE2ExESSBYybS5qBQHCPNJgzHURRFURTDMa1e16hS3r1796ALYUvgDcZib7bOF0DTNFMNAs2tzGs827Q12LW6usopWEKxyOUvX74E6zRLpVJQP96mrYv2Pn/+vHBLPp/n8Xg4joO9KysrnD9vRd/+xdkmr889W9m6ra2N8/OLWHu3NRM5aA8He3dk66JU6IJCYRLFcRw0fjAlstO30bYJtPVbiN5i0dssYlWj2obbQv5wd4dQLecKKt6tLRer5Y0oIlGLZQaJApcIVLUCFV+A8ARqvkgr5Clq65Q8gYovMUgaCZlEJ27AGnU2A2rD44nW2XML85cWk8Oj0UTPpXu/HZ//0N0c15qseitl9QZak72heJvSiEs0+iqhRK3HSAsVCEWbom3NLR3BaKsn2OwJhT3BYFNzlHL7wi3thMlqIEgjgWt0unqpnHR6mtu79ChmwAgDQeJmkx41GFCj1WrFCZQkcQw34pjBTGAmAjNiqNVuxzCMMJEEQRgMBhRFUSOq1+s1Gs3q6upBF8KWwBuMxb6OMnv+/DmoA4Hmax6PB7pCwZOXoqjCocJb2Zr+80d8ka2BofP5/KNHjwo9wRw1NTVVGA+TCvglwZzR7373uyJbF5ngmNkaNH2XlJSUlpZ+/fXXRfXsfD6/vLzMzH+yI1sX7t2RrZnfdsxeplDYidI/lwi0NWS/IFyUXN/IkwoEjQKBSlCvFvMa+BX1VeWCyjpFXZ2iTqoXNeBiIVLLk1fzZLXV0soqcUWdglcjr6mV1fDktTxZtUApEKqFdYq6KkmtQCUyu8w9/QNtXalAOBbr6l+8u5459YEjGNFbKZRyWjz+eHfKF22VG1CRSlMlkIjlygaVxu7yRTu7+9PZ0amZybMLsxfyswsXp84sZKfmBkfHm+PtZspOudw2p0Oj1yu0hnhXCowJRwmSIEncRBow1IihGGrAMCOG6o1atQkzYpgBRY2E1WTEUa1Bq9Fr1Dq1Wq/R6DUqLaJUK+99AvutjxCvZ0w4aORk90wz02vs2ta/aJHCdvjCVDAMKzwW5JCZO+V425pprGauT9FVpWl6Y2ODOf03Y2umRJioQC91YQ4Po63hmPDjQoNGIdcr62TCSklNdQNPgIgFapEEkUi1UpFOKkTqFZhMrOELFLVV9eUVwvJKQXmFsKJKXFUr5VWKqn5d894J/olqaU2tjFcprH6PV1UhqLV5HZGWuMlKSeRKXzRx+d6D9Mw5i7dJbbZoLXaTxxfvTrnCUaWBEMiUlUKxQCyvquGLJQ2Nah2iR5UaPWJALS5PON7eP5LtHUxPnjqb6O33NgXDLS1tnR2UwylTIFrc5Pb7A01N4VAoFovFo9Emf8DjcXuddo+D8jspyoT7rJYmnzsUDPiDvqYmXzAYCIaa/E0+j8/j8bo8PrfH5/7i4RcHXQhbAm3NYl9HmYEG8Hw+n8lkOBxOZWUlaAwvanel92BrMAoMVAc3bQnfKhXQDlwEj8cDw4yPpa3ZJ5vL5UCYtbU1doDXZ+vCEmES2qpEQBX/0Noajgk/Nog0MoFGIkTEfETEV9ULEAlfKRSq6gWIoF4jEiiF9SpBlbiySlRVzuOW809UCCrrJHWCBoGgsV6oFIkRubBBLJTVC+WSmnq+CjM4Ar5IW6vb77c4XGaHu7Vr4KNbnw1OniFdfoQ0qUkz6fZFunrsgbAWNwtkjXXiBrFcWcOvlzciDSptg0qN6AxKnU6l1aqNxgadVmHQawlCjaJKrValUSMIIpU3VNfVI0YM0Rp0Wp1Or0dRVG/Q6Q06jUajQRpVCqlKIpIJ6lQSsQ5pRA06nV6r06p1WrVWo9brNDqtWq/TGvRavV5z//6nB10IWwJtzeLBA/rBg59+bqAu5BUPr01lQNM0j8cDBgWTaTBP7Y2NDea1Kx6PR+/B1h6Pp7KyUigUUhQFmlKZB3oul3tFKjRNB4NBkL2ysjIMwxKJxMLCApPKcbU1l8sFc9FkMpkffvgBhPmP//gPiqIwDAPXEIzEBgMF6H21NYZhTLcI/ee2pmk6GAxyCsbnYxgWCoU2TZQ+NLaGs6McG6pldeXimkpJzbv8ynfrKk/wK7j88neF5ZWS6hp5bbmwokJYWS6o4PIraiU1FfzyBp1CpJTwpLU8aV29SqIj9Q3aRplK4Y82O/z+cFvcHw7a7Ha7y025PWaH24TZMpmZgck5I+XRmmxa0mq0OsKd3RrCgmCEQm8UyBp5QnFdvQTRGXUoodYbDAQuVimEyoYGjZonFgkVcpG6USiXiJUNUqWiXiqpFUpECpVcpZXJFUqlWqFSNjQ0KhSKBqlUKpNKZWKhkFdXW11bWS4S8KUSkUwukcolEplYJBOJZCKRVMSv5/NFfL5IwBcJbt25ddCFsCXQ1ix21RKe3wyapn/44YeVlZV8Pr+yslLkuZcvX4JgzBtTKysroFf76dOnTAyF8YPPzF5mFeTV1dX19fWNjY1vvvkmn88/evSImW30FakAwLITy8vLGxsbhdl7+vRpUZ7Zx27z4myT12drcI4MKysrjx8/3jTkxsYGGHG2trZWeEEKy5T+uQiY61xUHIV72UVJ0zRobmFKJM9a9gP8zxTloShR+ucSecWSIXthB7aG/dYQyOsH3mAsDmgNrqPOYbY1ZBdAW0Mghwp4g7GAtt4V0NbHDGhrCORQAW8wFtDWuwLa+pgB+60hkEMFfDiygLbeFdDWx4wd2Bq+wQWBvH7gw5HFrlb1gEBbHzO2b2v4BhcE8gaAD0cWT57QT5789OOP7D0cyCvZF1tDDhWw3xoCOSTAG4zFK1vCIa8A2vr4AW0NgRwS4A3GYmtbQyCQTYC2hkBeP/AGYwFtDYHsCGjr485XX30FpuJhVhGEvHngDcYC2hoC2RFwTPjxhT3HfuEqQZA3CbQ1i61X9YBAIGzgmPDjyj/90z+BRYOKoChqmzE8ffo0mUxKpdJ9yc/169cpiorFYvsS23vvvXe0fnxAW7PYekw4BALZBDg7yjEFrHCDYZjL5bpy5cra2hqzqCuGYVstGVBInrWqzV7g7N8yNqurq+Xl5X19fdXV1f/yL/+y9wjfANDWLLZ+3xoCgWwC7Lc+joA1A4EdC1eXKVyFnS1jsKVwV+H7BWAjs5QfWGuuMNEiH4MDwbpzu3lbYWtwHL927RpN09euXQMfDj/wBmMB+60hkB0BbX0cAVIsLS395JNPCrdnMpm925qiKGY7j8c7deoUk+gbsPXs7Cxj6BcvXnR2du46qjcJvMFYQFtDIDsC2vo4wpiyaDsjzlfbGizw6nQ6mcBgC/j6zjvvLC4uMgG4XO7Lly/prW393XffMaYPBAJLS0vMArVvD/AGYwFtDYHsCNhvfRxh6tZF25eXl7dj68KvTADwVSgUrq+vF25h2sa3sjXzdb/6rRmePXuWz+e/+OKLf/3Xf93HaF8H0NYsoK0hkB0B3+A6joBOZbYdQb81l8tdWloCrqUo6vHjx4V7X21rxs3sLaBhHMMwsPcN2Nrj8YBU+vr69jHa1wG0NQs4ygwC2QnwDa5jSS6XA69vYRh26dIlsHF1dZXD4ZSUlPh8vsePHwPXlpaWgo7nFy9egEOKbO3z+R4+fEgXyDsSiYAAkUgE1LaB75me7G+++WZqaopt67KyMh6Pty8n+N1333G53Nra2s8//5zD4dTW1u5LtK8PaGsWT578V/Ua/Dkc9JMntMPxZxuBztnBLl7cTTDww5OdRFEwh4O+eHHznBRuBMGK0mUH2zR7+xsMNFFsehZFwbY62QcPioMVXaitTnabwfbx0oGTLQq21ckWnddW/zzss9hmsH28JuCvKMMgJDsY5HjB1DvZLC4u0jS9srJSuJHL5fJ4vE3r1oUt51wut6ysrPBARsCgQs/EVmRr8EYZE9vez06n0/3+978H+Tz8HeHwBmMBbQ1tveuThbaGHC8K9QnAMIwx5aNHj4r8Ct77YgJsbGywbS2VStVqNdhYWlrK5XKZ8Gtra0x4xs2MrQvT2qOtf//733O5XIlEspdI3jDwBivmpx9/pPP5///34MFPP/5IP3jwZxvB9CnsYE+e7CYY+LdjJVEc7MED+smTzXNSuPHBg03SZQfbNHv7Gyyf/+np083Pouj0tzjZn779tjhY0YXa4mS3GWw/Lx042aJgW5xs8Xlt8c/DPottBtvPawJO7Y9/3KTIWMHe+M0Kee188803a2tr0WgUeDqXy33++eeFAdbX1/1+f2lpaS6Xu3DhwqVLlwpV+sMPP6RSKbatx8fHE4kE+Ly8vMzE9vLlSxA+kUj84Q9/KLL18+fPwa8BLpe7srKyl/MKhUJisfjw91UXAm0NgUAgkDcBe5TZQVFjsbceAAAEx0lEQVRSUuL3+w82DzsF2hoCgUAgb4JDYuu+vr6/+qu/OipTmDFAW0MgEAjkTXBIbG00GkUiUVGT/uEH2hoCgUAgbwIwndnKysp2VgR5fYDu8KOymAcDtDUEAoFA3ha++OILDodztEaDA6CtIRAIBPK2cOfOHQ6H09jYeNAZ2THQ1hAIBAJ5W2hubgbTph50RnYMtDUEAoG8payvr7PnP2FW8uCwUCgUYLGsIorWx9z7RGOvDzAfyzfffHPQGdkx0NYQCATylsL2MeAVezc18VGx9dHttKahrSEQCOStBciVWW369u3bCwsLXC63cC+YgyyZTIKvsViMHQ+zdjVYI+v58+dv9jy2y+LioslkOuhc7BJoawgEAnlLAQJua2vb2NjYai/4/PLly1fYmgnPrGgJpgjlcDh/+MMfEAThcDhOp5Om6fX1daFQWFJSgmHY1NQUOLBwdRCpVIphWGFL9djYGJgz3O/3M9EyewcGBsBeBEF8Pt+mDfWrq6vPnj2jaVoikaTT6V1cqMMAtDUEAoG8pRQ2X7PXjS70IiNUBEFeERvb1sziHKWlpRKJpDBFBEH+/u//nmY1pHO2WMWLx+MV2bpwFRCGTTOWz+c9Hs/Rmhi8CGhrCAQCeUtZXFwEa1wCuFzu+vr6n/70J7C3sCXc6XRyOJySkpJXjKZm27q0tBTDMHAgh8OpqqoC8mYSBVZ+9OhRNpvN5/PLy8smk4nD4USj0cI8gNp54YqZYK/H4/H5fLlcbnl5ORgMcrZY8IPH4/X29ppMpitXruz7NXxjQFtDIBDI28v3338P+qqBUAtrz4UV1rKyMgRB2traXhEV29ZcLvf8+fM0Tf/zP/8z0C2Q/czMTFEdem1tDfwsiEQijI/1ej2IZH5+nqbply9fMiPY2Tlk18sZnj59uri4eOQmBi8C2hoCgUAg9NLSUlHNtVCBoF7Lbi0vhG3rwnbpwsMfPXpUaFbOz8txghiYA9mRMJVydg5fYevjAbQ1BAKBvKVsbGz88MMPzNdNXQg+ezwe8PXp06dbxbY7W4PqMkVRX375JV3wo4GJpLKyEtTIQQW9KIdCoXB1dZVJZY/rXh9moK0hEAjkLWXTuimGYYV7wedHjx6B6rVCoWCvycF+33r7tgZ90uDzpUuXKisrt6o9C4XCot8TCoWCnf/Xd7kOlmN7YhAIBAJ5NWzVLSwszMzMFO5lAjN9xuym5r3YOpFIFA4fKzoQNI8zPyOKbF3Yeg9tDYFAIJDjyerqqs/nA5JTq9XZbPbx48f/+Z//Cfay5UdRFIfDYaZPYdiLrWmavnDhAhB2IpEYHx8vPPDf//3fs9kssHgqlWIrGewF+Q8EAkdxAvBtAm0NgUAgkEPKd999991334HP4B0tDoejUCgONlcHArQ1BAKBQA4p7IlTpFLpMR5K9gqgrSEQCARySAGN6qBdPZfLgRW0vv7664PO1wEAbQ2BQCCQw0uhrQ86LwcJtDUEAoFAIIcdaGsIBAKBQA470NYQCAQCgRx2oK0hEAgEAjnsQFtDIBAIBHLYgbaGQCAQCOSwA20NgUAgEMhhB9oaAoFAIJDDDrQ1BAKBQCCHHWhrCAQCgUAOO9DWEAgEAoEcdqCtIRAIBAI57Pw/3zZgq4PlibIAAAAASUVORK5CYII=" width="400" /> </div>
<div style="text-align: center;">
Block diagram of the proposed SR algorithm. </div>
<div style="text-align: justify;">
The proposed SR algorithm consists of three steps: i) definition of a local search region for the optimal patch using motion vectors, ii) adaptive selection of the optimum patch based on low-resolution image degradation model, and iii) combination of the optimum patch and reconstructed image.</div>
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<img alt="" height="400" 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" 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Motion estimation process for local region definition</div>
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To reduce the computational complexity in multiframe SR, the proposed method resolves by using motion information to confine the patch searching region as small as possible. The local search region is also defined using pre-generated down-scaled images for fast motion vector estimation.</div>
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" 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Generation of LR and HR patch pairs using the image degradation model.</div>
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<b>Simulation Video Demo</b></div>
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.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com0tag:blogger.com,1999:blog-121818469515471865.post-25043857441190176782017-03-29T11:34:00.000+05:302017-03-29T11:35:11.460+05:30EMR: A Scalable Graph-based Ranking Model for Content-based Medical Image Retrieval<div dir="ltr" style="text-align: left;" trbidi="on">
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<b>EMR: A Scalable Graph-based Ranking Model for Content-based Medical Image Retrieval</b></div>
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<b>Abstract</b></div>
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Graph-based ranking models have been widely applied in information retrieval area. In this paper, we focus on a well known graph-based model - the Ranking on Data Manifold model, or Manifold Ranking (MR). Particularly, it has been successfully applied to content-based image retrieval, because of its outstanding ability to discover underlying geometrical structure of the given image database. However, manifold ranking is computationally very expensive, which significantly limits its applicability to large databases especially for the cases that the queries are out of the database (new samples). We designed a novel scalable graph-based ranking model called Efficient Manifold Ranking (EMR), trying to address the shortcomings of MR from two main perspectives: scalable graph construction and efficient ranking computation. Specifically, we build an anchor graph on the database instead of a traditional k-nearest neighbor graph, and design a new form of adjacency matrix utilized to speed up the ranking. An approximate method is adopted for efficient out-of-sample retrieval. Experimental results on some large scale image databases demonstrate that EMR is a promising method for real world retrieval applications.</div>
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<b>EMR for Content-Based Image Retrieval</b></div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgd0zEwD3KoiMnItXEDMuowH3ifOl4r0DUV9ozU2BZhSOpGunmxoZIsIHlPlH0-w5fjoc_4J90l7YbythV8Xz9ApkMyl5K505HpKnX6T4LAZM5PcqeZYNntjIDJ8RQJ__VtOGpoOivV9cYe/s1600/1.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="123" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgd0zEwD3KoiMnItXEDMuowH3ifOl4r0DUV9ozU2BZhSOpGunmxoZIsIHlPlH0-w5fjoc_4J90l7YbythV8Xz9ApkMyl5K505HpKnX6T4LAZM5PcqeZYNntjIDJ8RQJ__VtOGpoOivV9cYe/s320/1.png" width="320" /></a></div>
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Fig. 1. Extend matrix W (MR) and Z (EMR) in the gray regions for an out-of-sample.</div>
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In this part, we make a brief summary of EMR applied to pure content-based image retrieval. To add more information, we just extend the data features. First of all, we extract the low-level features of images in the database, and use them as coordinates of data points in the graph. Secondly, we select representative points as anchors and construct the weight matrix Z with a small neighborhood size s. Anchors are selected off-line and does not affect the on-line process. For a stable data set, we don’t frequently update the anchors. At last, after the user specifying or uploading an image as a query, we get or extract its low-level features, update the weight matrix Z, and directly compute the ranking scores by equation </div>
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" 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<b>Simulation Video Demo </b></div>
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.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com0tag:blogger.com,1999:blog-121818469515471865.post-1096590255162602582017-03-28T10:57:00.003+05:302017-03-28T11:00:39.423+05:30High Performance VLSI Architecture for 3-D Discrete Wavelet Transform<div dir="ltr" style="text-align: left;" trbidi="on">
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<b>High Performance VLSI Architecture for 3-D Discrete Wavelet Transform-Verilog HDL with Matlab</b></div>
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Abstract-This project presents a high-speed memory efficient VLSI architecture for three dimensional (3-D) discrete wavelet transform. A major strength of the proposed architecture lies in reducing the number and period of clock cycles for the computation of wavelet transform. This five stage pipelined architecture shares the partial load of the next stage with the present stage to reduce computational load at the next stage and critical path delay (CPD). The proposed architecture has replaced the multiplications by optimized shift and add operations to reduce the CPD. Implementation results show that the proposed architecture benefits from the features of reduced memory, low power consumption, low latency, and high throughput over several existing designs.</div>
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Block diagram for 3-D discrete wavelet transform</div>
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The project is design using Verilog HDL with Matlab, where the input videos are converted into frames. Frame values are stored in memory using Matlab Program. DWT architecture design is developed using Verilog HDL.</div>
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<b>Simulation Video Demo</b></div>
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.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com0tag:blogger.com,1999:blog-121818469515471865.post-74319011903222909872010-04-26T17:54:00.000+05:302010-04-26T17:54:14.226+05:30MCMAC A PARALLEL RENDEZVOUS MULTI-CHANNEL MAC PROTOCOL<span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span><br />
<div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><b>Abstract</b>- Many multiple channel MAC protocols for wireless networks have been proposed to make efficient use of multiple channels where each node has a single radio which allows it to send or receive on one channel at a time. However, most of the proposed protocols are single rendezvous protocols that are subject to the congestion of the control channel. We propose a new parallel rendezvous protocol, McMAC, to avoid control channel congestion so that it can scale to use a large number of channels efficiently. We validate our protocol design using simulation and implementation. </span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><br />
<b>INTRODUCTION</b><br />
Many multi-channel wireless MAC protocols have been proposed to increase the throughput of ad hoc networks. These protocols exploit the availability of multiple disjoint channels (i.e., frequency bands) and the ability of modern radios to switch channels quickly. Using a multi-channel MAC protocol, different devices can transmit in parallel on distinct channels. The parallelism increases throughput and can potentially reduce delay as well, provided channel access time is not excessive.</span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><br />
Protocols differ in how devices negotiate the channel to use and resolve medium contention. Dedicated Control Channel approach designate one channel exclusively for control purposes. Each node listens to that channel to make an agreement. A separate transceiver is used for data transmission. Unlike the Dedicated Control Channel, other approaches typically use only one radio for both control and data packets. For example, for Split-phase protocols, time is split into alternating periods of control and data phases. In a control phase, all devices listen to the control channel to make an agreement. In the data phase, nodes change to their respective channels negotiated in the previous control phase to exchange data in parallel. In Common-hopping approach, all idle devices hop together over every channel sequentially. They make an agreement as they hop together and pauses only if they have data to exchange. Even though Dedicated Control Channel, Split-phase, and Common Hopping differ in the way nodes make channel agreements, they are all categorized as single rendezvous protocols because at any instance, the rendezvous between a sender and its receiver can happen on at most one channel. </span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><br />
</span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><b>VIDEO DEMO</b></span></div><object height="385" width="480"><param name="movie" value="http://www.youtube.com/v/ypeCIjNp82w&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999"></param><param name="allowFullScreen" value="true"></param><param name="allowscriptaccess" value="always"></param><embed src="http://www.youtube.com/v/ypeCIjNp82w&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="480" height="385"></embed></object>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com1tag:blogger.com,1999:blog-121818469515471865.post-69763868437900355502010-04-26T17:46:00.000+05:302010-04-26T17:46:40.645+05:30EFFICIENT POWER ALLOCATION FOR CODED OFDM SYSTEMS<span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span><br />
<div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><b>Abstract</b>—In coded OFDM systems, the transmission power of each subchannel is the same. In this letter, a power optimization scheme is presented to minimize FER or BER of a coded OFDM system under constant transmission power constraint. The power optimization is shown to be a convex optimization problem. </span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><br />
<b>INTRODUCTION</b><br />
CODED OFDM systems offer robust communication links with the frequency diversity that results from channel coding and interleaving. However, the power allocated to the nulls of the frequency response is likely to be wasted. If there is a feedback link from the receiver to the transmitter, the transmitter can change the power level of each subchannel keeping the total transmission power constant. Therefore, with efficient power allocation, the performance of coded OFDM systems can be improved. Subchannel power allocation schemes have been proposed for uncoded and coded OFDM systems. However, previous papers have not fully investigated the power allocation for error rate minimization considering the interaction of channel coding, interleaving and channel response. </span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><br />
In this, the upper bounds on bit error rate (BER) and frame error rate (FER) are derived for a coded OFDM system with given interleaver, channel coding and modulation schemes. The bounds can be expressed as sums of exponential functions or sums of Q-functions that are convex functions. Therefore, the power allocation to minimize the target BER or FER under the total transmission power constraint is shown to be a convex optimization problem. By solving the power optimization problem, the performance of coded OFDM systems can be improved compared with the conventional constant power allocation. </span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><br />
</span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><b>VIDEO DEMO</b></span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"></div><object height="385" width="480"><param name="movie" value="http://www.youtube.com/v/71PdjRCExEQ&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999"></param><param name="allowFullScreen" value="true"></param><param name="allowscriptaccess" value="always"></param><embed src="http://www.youtube.com/v/71PdjRCExEQ&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="480" height="385"></embed></object>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com6tag:blogger.com,1999:blog-121818469515471865.post-84397142416389878932010-04-26T17:38:00.000+05:302010-04-26T17:38:15.801+05:30DUCHA: A NEW DUAL-CHANNEL MAC PROTOCOL FOR MULTIHOP AD HOC NETWORKS<span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span><br />
<div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;">Abstract—IEEE 802.11 MAC protocol has been the standard for Wireless LANs and is also implemented in many simulation software for mobile ad hoc networks. However, IEEE 802.11 MAC has been shown to be quite inefficient in the multihop mobile environments. Besides the well-known hidden terminal problem and the exposed terminal problem, there also exists the receiver blocking problem which may result in link/routing failures and unfairness among multiple flows. Moreover, the contention and interference from the upstream and downstream nodes seriously decrease the packet delivery ratio of mulitihop flows. All these problems could lead to the “explosion” of control packets and poor throughput performance. In this project, we first analyze these anomaly phenomena in multihop mobile ad hoc networks. Then, we present a novel effective random medium access control (MAC) protocol based on IEEE 802.11 MAC protocol. The new MAC protocol uses an out-of-band busy tone and two communication channels, one for control frames and the other for data frames. The newly designed message exchange sequence provides a comprehensive solution to all the aforementioned problems. Extended simulations demonstrate that our scheme provides a much more stable link layer, greatly improves the spatial reuse, and works well in reducing the packet collisions. It improves the throughput by 7% to 20% for one-hop flows and by 2 5 times for multihop flows under heavy traffic comparing to the IEEE 802.11 MAC. </span></div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"><b><br />
INTRODUCTION</b><br />
Contention based medium access control (MAC) protocols have been widely studied for wireless networks due to the low cost and easy implementation. IEEE 802.11 MAC is such a protocol that has been the standard of wireless LANs and has also been incorporated in many wireless testbeds and simulation packages for mobile ad hoc networks. It adopts four-way handshake procedures, i.e., RTS/ CTS/ DATA/ ACK. Short packets, RTS and CTS, are used to avoid collisions between long data packets. The NAV (Network Allocation Vector) value carried by RTS/ CTS/ DATA/ ACK is used to reserve the medium to avoid potential collisions (i.e., virtual carrier sensing) and hence mitigate the hidden terminal problem. The ACK is used as a confirmation of the successful transmission without errors. </span></div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"><br />
However, the effectiveness of IEEE 802.11 MAC in multihop mobile ad hoc networks has been widely recognized as a serious problem. The packet collision over the air is much more severe in the multihop environments than that in the wireless LANs. The packet losses due to such kind of MAC layer contentions will definitely affect the performance of the high layer networking schemes such as the TCP congestion control and routing maintenance because a node does not know whether an error is due to the collision or the unreachable address.</span></div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span></div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"><b>VIDEO DEMO</b></span></div><object height="385" width="480"><param name="movie" value="http://www.youtube.com/v/Hf4FNXkWVJI&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999"></param><param name="allowFullScreen" value="true"></param><param name="allowscriptaccess" value="always"></param><embed src="http://www.youtube.com/v/Hf4FNXkWVJI&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="480" height="385"></embed></object>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com7tag:blogger.com,1999:blog-121818469515471865.post-86403410547344961452010-04-26T17:31:00.000+05:302010-04-26T17:36:34.720+05:30COOPERATIVE MIMO-BEAMFORMING FOR MULTIUSER RELAY NETWORKS<span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span><br />
<div style="text-align: justify;"><span style="font-size: large;"><b><span style="font-family: Times,"Times New Roman",serif;">INTRODUCTION</span></b><br style="font-family: Times,"Times New Roman",serif;" /><span style="font-family: Times,"Times New Roman",serif;">Cooperative relaying systems have received considerable attention in the last decade, see and the references therein. The basic idea of cooperative relaying is to introduce intermediate nodes (relays) that forward the received data from the source to the destination. Cooperative relaying brings a large number of advantages to wireless communication systems. For example, it provides spatial diversity since the relay terminals form a distributed antenna array. This diversity can be further exploited by applying distributed space-time coding. Another advantage of cooperative relaying is the increase in the range of communication which can be further extended via beamforming. Cooperative relaying can also be used to provide spatial multiplexing in multiuser communication scenarios where multiple signal sources are targeting one or more destination nodes. A multiuser relaying scheme called multiuser zero forcing relaying was proposed. This relaying technique uses beamforming to eliminate the interference between different source and destination pairs. Zero forcing relaying requires full knowledge of the channels from the sources to the relays and from the relays to the destination nodes. </span></span></div><div style="text-align: justify;"><span style="font-size: large;"><span style="font-family: Times,"Times New Roman",serif;"> </span><br style="font-family: Times,"Times New Roman",serif;" /><span style="font-family: Times,"Times New Roman",serif;">This channel information can be obtained using orthogonal pilot sequences broadcasted from the source and destination nodes to all the relay terminals. The channel estimates are then transmitted to a processing center that computes the beamforming coef��cients and feeds them back to the relay terminals. It was shown that zero forcing relaying can greatly increase the average sum rate of the system (measured in bits/channel use) compared to the single source, single relay, single destination case. However, zero forcing beamforming is known to be suboptimal when the signal-to-noise ratio (SNR) of the sources is relatively low as it results in increased noise power at the destination nodes. Also, the zero forcing algorithm proposed was derived under the assumption that each source signal is targeting a distinct destination node, and hence, it cannot handle the more complicated multiplexing case where multiple sources are targeting the same destination node. Finally, this algorithm is only applicable to relaying schemes with single antenna relays and cannot exploit the performance gains due to multiple antennas at the relay terminals.</span></span></div><div style="text-align: justify;"><span style="font-size: large;"><span style="font-family: Times,"Times New Roman",serif;"> </span><br style="font-family: Times,"Times New Roman",serif;" /><span style="font-family: Times,"Times New Roman",serif;">In this project, we develop a multiuser beamforming algorithm for relay networks with multiple antennas at the relays. Our algorithm is derived under the same assumptions as those i.e., the channels between the relay terminals and different source and destination nodes are known with enough accuracy. We design the beamforming matrix such that both the noise received at each destination node and the interference caused by the sources not targeting this node are minimized. We also impose linear constraints that preserve each source signal at its targeted destination. The resulting optimization problem is shown to be convex and is formulated as a second order cone program (SOCP) that can be effciently solved with polynomial complexity using interior point methods.We provide numerical simulations showing the superior performance of our beamforming technique compared to zero forcing beamforming in terms of the received signal-to-interference-plus-noise ratio (SINR) and symbol error rate (SER) when each relay is equipped with a single antenna. Simulation results also indicate that the use of multiple antennas at the relay terminals can significantly improve the system performance compared to single antenna relaying. This can be attributed to the additional degrees of freedom available for beamforming due to the block diagonal structure of the stacked beamforming matrix. </span></span></div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;"><span style="font-size: large;"><b><span style="font-family: Times,"Times New Roman",serif;"><a href="http://sites.google.com/a/verilogcourseteam.com/www/ftp/COOPERATIVEMIMO-BEAMFORMINGFORMULTIUSERRELAYNETWORKS.zip?attredirects=0&d=1">Download Files</a></span></b></span></div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;"><span style="font-size: large;"><b><span style="font-family: Times,"Times New Roman",serif;">VIDEO DEMO</span></b></span></div><div style="text-align: justify;"><span style="font-size: large;"><b><span style="font-family: Times,"Times New Roman",serif;"> </span></b></span></div><object height="385" width="480"><param name="movie" value="http://www.youtube.com/v/VlMzSeXmrmc&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999"></param><param name="allowFullScreen" value="true"></param><param name="allowscriptaccess" value="always"></param><embed src="http://www.youtube.com/v/VlMzSeXmrmc&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="480" height="385"></embed></object>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com9tag:blogger.com,1999:blog-121818469515471865.post-82673230597443125392010-04-26T17:08:00.000+05:302010-04-26T17:08:37.919+05:30ADAPTIVE RADIO RESOURCE ALLOCATION FOR DOWNLINK OFDMA/SDMA SYSTEMS WITH MULTIMEDIA TRAFFIC<div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;">This project proposes an adaptive radio resource allocation (ARRA) algorithm for downlink OFDMA/SDMA systems with multimedia traffic. Considering multiple service classes and diverse QoS requirements of multimedia traffic, the ARRA algorithm is designed with the goal to maximize spectrum efficiency and to fulfill quality of service (QoS) requirements. It is composed of two parts, a dynamic priority adjustment (DPA) scheme and a priority-based greedy (PBG) scheme. The DPA adopts a type of time-to-expiration to indicate the degree of user’s urgency, and dynamically gives high priorities to urgent users. The PBG allocates the radio resource iteratively, based on a cost value, to maximize the system throughput while allocating enough resource to high-priority users. Simulation results show that the ARRA algorithm outperforms conventional algorithms in terms of system throughput and satisfaction extent of QoS requirements; it can sustain users’ QoS requirements up till a traffic load of 0.8, while the conventional algorithms cannot guarantee QoS requirements after a traffic load of 0.3<br />
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<b>INTRODUCTION</b><br />
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ORTHOGONAL frequency division multiple access combined with space division multiple access (OFDM A/SDMA) can be an effective approach to support high-speed wireless communications. The OFDMA is based on OFDM (orthogonal frequency division multiplexing) and inherits its superiority of mitigating multipath fading and maximizing spectral efficiency (Nyquist rate). The SDMA uses a beam forming technique in a multiple-antenna system and multiplexes multiple users on the same subchannel to increase the system throughput.<br />
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For a multiuser OFDMA system, Jang and Lee proposed a linkgain-based resource allocation (LBRA) scheme and proved that the data rate of the system was maximized when each subcarrier was assigned to the user with the best channel gain. However, this statement is not always true when SDMA is enabled in an OFDMA system. Instead, the system data rate is the largest when an optimal set of cochannel users, which depends on the spacial signature of each user, is selected for each subcarrier. But the algorithm for finding the optimal set of cochannel users is of a high computational complexity. Hence, when the channel state information (CSI) is available at the base station, a sophisticated and low complexity radio resource allocation (RRA) scheme is needed for OFDMA/SDMA systems to properly exploit system diversity so that spectrum efficiency is maximized.</span><br />
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<span style="font-size: large;"><b><a href="http://869789182725854870-a-verilogcourseteam-com-s-sites.googlegroups.com/a/verilogcourseteam.com/www/ftp/AdaptiveRadioResourceAllocationforDownlinkOFDMASDMASystemswithMultimediaTraffic_Source_code.zip?attachauth=ANoY7crOWDUNuNkejKc1IyKHHPgn4ZUoTi_zCPnTfJ7J0SuIvNUEWMMoi_aDQnFFVkox5QpFHpLI2pcKNXmvq8efRbkP6Fj32DfVW7en9OqZvcShyY7iEeQ264ou62mUDj8Vrk_97jcaPUYTTZyT9e1BSZ3ExvLp5SFgSmvu_kPMuuA2EQapOtPYILjeMN-p94pwNI7lYXmB5rgdlftaigvRJIjuJivkZPmG0DDWK2MOT0cczceRT5o0-nv1rRg1LXf8yJcQPSzABERwUzVfA17y-gcc31BP9R96SccTnNClrnmm2cAaTJhSjWsF7rs2Yms3rYCM27My&attredirects=0&d=1">Download Files </a></b></span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><br />
</span></div><div style="font-family: Times,"Times New Roman",serif; text-align: justify;"><span style="font-size: large;"><b>VIDEO DEMO </b></span></div><br />
<object height="385" width="480"><param name="movie" value="http://www.youtube.com/v/hv8st0xqkuE&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999"></param><param name="allowFullScreen" value="true"></param><param name="allowscriptaccess" value="always"></param><embed src="http://www.youtube.com/v/hv8st0xqkuE&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="480" height="385"></embed></object>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com2tag:blogger.com,1999:blog-121818469515471865.post-7610380782394467872010-04-26T15:06:00.000+05:302010-04-26T15:06:31.163+05:30A TOKEN-BASED SCHEDULING SCHEME FOR WLANS SUPPORTING VOICE/DATA TRAFFIC AND ITS PERFORMANCE ANALYSIS<span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span><br />
<div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;">Most of the existing medium access control (MAC) protocols for wireless local area networks (WLANs) provide prioritized access by adjusting the contention window sizes or interframe spaces for different traffic classes. Those MAC protocols can only provide statistical priority access and limited service differentiation. In this project, a novel token-based scheduling scheme is proposed for a fully-connected WLAN that supports both voice and data traffic. The proposed scheme can provide guaranteed priority access to voice traffic and, at the same time, provide more precise and quantitative service differentiation for data traffic, which provides great flexibility and facility to the network service provider for service class management. Simulation results demonstrate that the proposed scheme can guarantee a small delay for voice traffic. For data traffic, it can effectively achieve proportional differentiation among different classes, while achieving fair resource sharing within the same class. In addition, compared with a contention based scheme and a centralized polling scheme, the proposed scheme significantly improves the channel utilization by avoiding collisions (in the contention based scheme) and the polling overhead (in the polling scheme). The performance analysis of the proposed scheme is also presented. The accuracy of the analytical results is verified by computer simulations.</span></div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"><br />
<b>INTRODUCTION</b><br />
IN recent years, with the growth of multimedia applications and the advances of wireless communications technology, quality-of-service (QoS) provisioning over wireless networks has attracted extensive attention in both academia and industry. One most promising wireless network is the wireless local area networks (WLANs), which have been widely deployed to provide high-rate data services at low cost over local area coverage. Most of the existing medium access control (MAC) schemes for WLANs are contention window based schemes. One common feature of those schemes is that they provide priority channel access to different traffic classes by assigning different inter-frame space (IFS) intervals and/or contention window (CW) sizes to different classes. High priority traffic (e.g., real-time voice) is assigned smaller IFS, CWmin and CWmax values, thus has a larger chance than low priority traffic to access the channel. However, those schemes provide only statistical rather than guaranteed priority access to high priority traffic. High priority traffic may suffer performance degradation due to a heavy load of low priority traffic. Such statistical priority access is difficult to satisfy the delay requirement of real-time traffic. On the other hand, although these schemes can provide a certain degree of service differentiation, it is difficult to quantify the degree of service differentiation, and even more difficult to adjust the degree flexibly among different classes based on some specific requirements of customers or network service providers. For example, when customers are charged differently for different services, it is desired that the received services (or resources) are proportional to what they are charged. Such kind of service model is referred to as proportional differentiation model [6], which assures that the performance of a class is proportional to that of another class according to a ratio preset by the network service provider. Although the actual service performance (e.g., throughput or delay) of each class may vary with the traffic load, the performance ratios among classes remain constant. Such a feature provides great flexibility and facility to network service providers for service management. Most of the existing MAC schemes for WLANs are contention window based schemes without support for the proportional service differentiation. </span></div><div style="text-align: justify;"><br />
<a href="http://sites.google.com/a/verilogcourseteam.com/www/ftp/ATOKEN-BASEDSCHEDULINGSCHEMEFORWLANSSUPPORTINGVOICEDATATRAFFICANDITSPERFORMANCEANALYSIS_DesignFiles_Demo.zip?attredirects=0&d=1"><b><span style="font-size: large;"><span style="font-family: Times,"Times New Roman",serif;">Download Files</span></span></b></a><br />
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</div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span></div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span></div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span></div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span></div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"></span></div><div style="text-align: justify;"><b><span style="font-family: Times,"Times New Roman",serif; font-size: large;">VIDEO DEMO</span></b></div><div style="text-align: justify;"><span style="font-family: Times,"Times New Roman",serif; font-size: large;"><br />
</span> </div><object height="385" width="480"><param name="movie" value="http://www.youtube.com/v/fYCvKV_Y8qs&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999"></param><param name="allowFullScreen" value="true"></param><param name="allowscriptaccess" value="always"></param><embed src="http://www.youtube.com/v/fYCvKV_Y8qs&hl=en_US&fs=1&rel=0&color1=0x3a3a3a&color2=0x999999" type="application/x-shockwave-flash" allowscriptaccess="always" allowfullscreen="true" width="480" height="385"></embed></object>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com0tag:blogger.com,1999:blog-121818469515471865.post-54816130332142104312010-04-04T12:12:00.001+05:302010-06-02T12:16:06.326+05:30FINGERPRINT FEATURE EXTRACTION BASED DISCRETE COSINE TRANSFORMATION (DCT)<div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><b>INTRODUCTION</b><o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">Among various biometrics technologies, automatics fingerprint identification systems are the most popular and reliable for automatics personal identification system . Fingerprint identification system has received increasing attention and the performance of fingerprint identification system has achieved a high level since year of 2000 due to the need of security in a large range of application . Many automatics fingerprint image recognition and classification methods are already available in the literature. Even many academic and commercial systems for fingerprint recognition exits, there is a necessity for further research in the topic in order to improve the reliability and performances of the fingerprint recognition system. Most of the fingerprint recognition system is based on the minutiae and feature extraction. The common extracted minutiae are ridge ending and bifurcation minutiae. This is because these two types of minutiae are found on most of the fingerprints. Generally, the fingerprint recognition systems are based on the matching of extracted ridge ending and bifurcation minutiae. The extracted minutiae provided the information of position, types and quantities. Most of the matching process is done on the matching of the position and the total number of detected minutiae. Generally, the automatics fingerprint identification systems required the input fingerprint to be match with a large number of fingerprints in the database.<o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><br />
</span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">In additional , the fingerprint recognition systems are unable to solve the problem of rotated input fingerprint image. The matching systems are failed to match the rotated input fingerprint image with the fingerprint image that stored in the database, which both of the fingerprint images are actually belonging to the same person. An effectiveness and efficient technique is required in order to solve the problem. In this project, a simple feature extraction technique based DCT is proposed and the proposed technique is able to solve the problem of<span style="mso-spacerun: yes;"> </span>matching processes based rotated input fingerprint images. Further, the extracted DCT data are used as input for neural network training and this technique is able to reduce the computation and searching time for automatics fingerprint recognition. <o:p></o:p></span></div>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com2tag:blogger.com,1999:blog-121818469515471865.post-82493869709739411812010-04-04T12:07:00.001+05:302010-06-02T12:11:42.159+05:30RANGINGWITH ULTRAWIDE BANDWIDTH SIGNALS IN MULTIPATH ENVIRONMENTS<div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><b>INTRODUCTION</b><o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">Highly accurate position information is of great importance in many commercial, public safety, and military applications. To this end, the integration of Global Positioning System (GPS) into cellular phones, in conjunction with WiFi localization, is igniting a new era of ubiquitous location-awareness. In the coming years, we will see the emergence of high-definition situation aware (HDSA) applications with capability to operate in harsh propagation environments where GPS typically fails, such as inside buildings and in caves. Such applications require localization systems with submeter accuracy. Reliable localization in such conditions is a key enabler for a diverse set of applications including logistics, security tracking (the localization of authorized persons in high security areas), medical services (the monitoring of patients), search and rescue operations (communications with fire fighters or natural disaster victims), control of home appliances, automotive safety, military systems, and a large set of emerging wireless sensor network (WSN) applications. Other applications include networking protocols taking advantage of position to improve the performance of routing algorithms (georouting), as well as <span style="mso-spacerun: yes;"> </span>interference avoidance techniques in future cognitive radios. The purpose of localization algorithms is to find the unknown positions of agent nodes given a set of measurements. Localization occurs in two main steps: <o:p></o:p></span></div><div class="MsoListParagraphCxSpFirst" style="line-height: 150%; margin-left: 54.0pt; mso-add-space: auto; mso-list: l0 level1 lfo1; text-align: justify; text-indent: -36.0pt;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%; mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">(i)<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">selected measurements are performed between nodes;<o:p></o:p></span></div><div class="MsoListParagraphCxSpLast" style="line-height: 150%; margin-left: 54.0pt; mso-add-space: auto; mso-list: l0 level1 lfo1; text-align: justify; text-indent: -36.0pt;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%; mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">(ii)<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">these measurements are processed to determine the position of agent nodes. <o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">Further, localization techniques can be classified based on measurements between nodes such as range-based, angle-based, and proximity-based localization. Among them, range-based systems (i.e., based on distance estimates) are more suitable for high definition localization accuracy, especially when low complexity devices are available. We refer the reader to and for insights on the variety of localization techniques. An overview of recent advances in cooperative localization for ultrawide bandwidth (UWB) networks is provided in, which covers Bayesian and non-Bayesian techniques using experimental data.<o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><br />
</span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">UWB technology offers the potential of achieving high ranging accuracy through signal TOA measurements, even in harsh environments, due to its ability to resolve multipath and penetrate obstacles. For more information on the fundamentals of UWB, we refer the reader to and references therein. It is expected that the advantages of UWB-based localization will be exploited in future HDSA systems that utilize coexisting networks of sensors, controllers, and peripheral devices. The IEEE 802.15.4a is the first UWB-based standard for low-rate wireless personal-area networks (WPANs) with localization capability ranging accuracy is expected to be one meter or submeter at least 90% of the time. Ranging techniques based on TOA estimation of the first arriving signal path are mainly affected by noise, multipath components, obstacles, interference, and clock drift. In dense multipath channels the first path is often not the strongest, making estimation of the TOA challenging.<o:p></o:p></span></div>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com0tag:blogger.com,1999:blog-121818469515471865.post-54426491547653014272010-04-04T12:04:00.000+05:302010-06-02T12:06:49.027+05:30ULTRA-WIDE-BAND PROPAGATION CHANNELS<div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><b>INTRODUCTION</b><o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">There is a general trend in wireless communications to increase the bandwidth occupied by the employed signals. This trend is caused on one hand by the constantly increasing demand for data rates V while 10 kbit/s is sufficient for speech communications, new applications like video-on-demand require 10 Mbit/s and more. On the other hand, multiple-access schemes like code-division multiple access (CDMA) require signals with larger bandwidth in order to achieve advantages like robustness to fading, improved multiple-access capabilities, and immunity to interference. Ultra-wide-band (UWB) radio pushes this trend to the limit by occupying bandwidths of 500 MHz or more (UWB with large absolute bandwidth) and/or using a bandwidth that is 20% or larger than the carrier frequency (UWB with large relative bandwidth).<o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">UWB systems can thus exploit the advantages of large bandwidths to the hilt. UWB communications has gathered great interest from the academic research community and the industry, especially in the last 15 years. This interest is due to a confluence of factors: <o:p></o:p></span></div><div class="MsoListParagraphCxSpFirst" style="line-height: 150%; margin-left: 54.0pt; mso-add-space: auto; mso-list: l0 level1 lfo1; text-align: justify; text-indent: -36.0pt;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%; mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">i)<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">theoretical breakthroughs, especially the introduction of time-hopping impulse radio by Win and Scholtz in the early 1990s; <o:p></o:p></span></div><div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin-left: 54.0pt; mso-add-space: auto; mso-list: l0 level1 lfo1; text-align: justify; text-indent: -36.0pt;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%; mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">ii)<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">ii) new frequency regulations, in particular the 2002 decision of the Federal Communications Commission in the United States, that allow the unlicensed operation of UWB radios in the microwave range; <o:p></o:p></span></div><div class="MsoListParagraphCxSpMiddle" style="line-height: 150%; margin-left: 54.0pt; mso-add-space: auto; mso-list: l0 level1 lfo1; text-align: justify; text-indent: -36.0pt;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%; mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">iii)<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">iii) advances in digital and analogue circuitry that made generating and processing of UWB signals feasible at a reasonable price; <o:p></o:p></span></div><div class="MsoListParagraphCxSpLast" style="line-height: 150%; margin-left: 54.0pt; mso-add-space: auto; mso-list: l0 level1 lfo1; text-align: justify; text-indent: -36.0pt;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%; mso-fareast-font-family: "Times New Roman";"><span style="mso-list: Ignore;">iv)<span style="font: 7.0pt "Times New Roman";"> </span></span></span><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">iv) the development of new applications that required the unique features that UWB signals offer, e.g., extremely high data rates (500 MBit/s for wireless USB), precise ranging and geolocation (for many sensor networks), and covert high-data-rate communications (e.g., for military video transmission). <o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">These developments in turn resulted in more than 5000 research papers on the topic, as well as the development of several communications standards based on UWB technology. <o:p></o:p></span></div>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com0tag:blogger.com,1999:blog-121818469515471865.post-91325033983182636272010-04-04T11:57:00.000+05:302010-06-02T12:03:05.007+05:30A NEW STATISTICAL DETECTOR FOR DWT-BASED ADDITIVE IMAGE WATERMARKING USING THE GAUSS–HERMITE EXPANSION<div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><b>INTRODUCTION </b><o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">A digital watermark is a distinguishing piece of information that is embedded into the data with the intention of protecting the intellectual property rights, verifying the authenticity of the data, annotating the data, etc. Very often, a watermarking scheme is seen as a secured communication task consisting of two steps, watermark embedding and watermark retrieval. In watermark embedding, the signal, i.e., the watermark, is transmitted through the host data that acts as a channel, whereas in watermark retrieval, the signal is received and extracted from the marked data. The security of the watermarking is maintained in the same way as in cryptography by using a secret key. In contrast to encrypted data, a watermarked data can still be used with the embedded watermark. The legal owner knows the exact embedding process, which is based on a secret key, and, hence, can extract the watermark, while it is not possible do so for an unauthorized party. Thus, watermarking does not necessarily prevent the copying of the marked data; rather, the scheme identifies the original data source and its intended legitimate destination, so that copyright violations can at least be detected. </span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><br />
</span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">Digital image watermarking can be of two types: imperceptible and perceptible. Very often, the imperceptible watermarking is preferred to the perceptible one, since the distortion of the original image is minimum in the former than that in the latter, even in the case of embedding multiple watermarks. The imperceptibility constraint in the image watermarking is achieved by taking into account the properties of the human visual system (HVS) during the embedding process. There are several methods of watermark embedding, such as additive, multiplicative, and through quantization. Whatever be the embedding process, the watermark travels with the marked image and, therefore, remains protected until it is removed.</span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><br />
</span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">In order to resolve the rightful ownership of an image, detection of the watermark is sufficient assuming that the owner of the marked image possesses the exact secret key and has the knowledge of the embedding process. If a marked image has a single watermark, the detection of the watermark becomes simple provided the original host image is available to the watermark detector. But, for a marked image having multiple watermarks there is ambiguity in resolving the rightful ownership, even when original host image is available to the watermark detector. In addition to this fact, in many applications such as data monitoring and tracking on the Internet, the original host data is not always available and in many multimedia settings such as video watermarking, the use of unmarked host data is not practical due to its huge volume. As a result, it is necessary to design a blind watermark detector that does not require the original host data in the detection process. <span style="mso-spacerun: yes;"> </span><o:p></o:p></span></div>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com1tag:blogger.com,1999:blog-121818469515471865.post-15069800009248477632010-04-04T11:53:00.001+05:302010-06-02T11:57:03.110+05:30A HISTOGRAM MODIFICATION FRAMEWORK AND ITS APPLICATION FOR IMAGE CONTRAST ENHANCEMENT<span class="Apple-style-span" style="font-family: 'Times New Roman', serif; font-size: 16px; line-height: 24px;"><b>INTRODUCTION</b></span><div><span class="Apple-style-span" style="font-family: 'Times New Roman', serif;"><span class="Apple-style-span" style="line-height: 24px;"><b><br />
</b></span></span> <br />
<div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">CONTRAST enhancement plays a crucial role in image processing applications, such as digital photography, medical image analysis, remote sensing, LCD display processing, and scientific visualization. There are several reasons for an image/video to have poor contrast: the poor quality of the used imaging device, lack of expertise of the operator, and the adverse external conditions at the time of acquisition. These effects result in under-utilization of the offered dynamic range. As a result, such images and videos may not reveal all the details in the captured scene, and may have a washed-out and unnatural look. Contrast enhancement targets to eliminate these problems, thereby to obtain a more visually-pleasing or informative image or both. Typical viewers describe the enhanced images as if a curtain of fog has been removed from the picture. Several contrast enhancement techniques have been introduced to improve the contrast of an image. These techniques can be broadly categorized into two groups: direct methods and indirect methods. Direct methods define a contrast measure and try to improve it. Indirect methods, on the other hand, improve the contrast through exploiting the under-utilized regions of the dynamic range without defining a specific contrast term. Most methods in the literature fall into the second group. Indirect methods can further be divided into several subgroups:<o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><span style="mso-spacerun: yes;"> </span>i) techniques that decompose an image into high and low frequency signals for manipulation, e.g., homomorphic filtering,<o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">ii) histogram modification techniques, and<o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">iii) transform-based techniques.<o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><br />
</span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">Out of these three subgroups, the second subgroup received the most attention due to its straightforward and intuitive implementation qualities. Contrast enhancement techniques in the second subgroup modify the image through some pixel mapping such that the histogram of the processed image is more spread than that of the original image. Techniques in this subgroup either enhance the contrast globally or locally. If a single mapping derived from the image is used then it is a global method; if the neighbourhood of each pixel is used to obtain a local mapping function then it is a local method. Using a single global mapping cannot (specifically) enhance the local contrast. The method presented in this paper is demonstrated as a global contrast enhancement (GCE) method, and can be extended to local contrast enhancement (LCE) using similar approaches. One of the most popular GCE techniques is histogram equalization (HE). HE is an effective technique to transform a narrow histogram by spreading the gray-level clusters in the histogram, and it is adaptive since it is based on the histogram of a given image. However, HE without any modification can result in an excessively enhanced output image for some applications (e.g., display-processing). <o:p></o:p></span></div></div>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com2tag:blogger.com,1999:blog-121818469515471865.post-75080259732092095252010-04-04T11:47:00.001+05:302010-06-02T11:53:03.574+05:30A MULTICODE APPROACH FOR HIGH DATA RATE UWB SYSTEM DESIGN<div><span class="Apple-style-span" style="font-family: Arial; font-size: small;"><span class="Apple-style-span" style="font-size: 13px;"><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><b>INTRODUCTION</b><o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">UWB technology is a serious candidate for the new emerging Wireless Personal Area <span style="mso-spacerun: yes;"> </span>Network (WPAN). In this context UWB is expected to provide very high data rates ≥ 500Mbps for short range communication. Many physical layer schemes have been proposed to address such rates on the wireless medium. Historically pulse based systems have been first proposed as the main modulation technique for UWB. The pulse based modulations inherently occupies a very large bandwidth (several GHz), which is required due to the very low emitting power. This technique is currently considered for low data rate in the sensor network context, but seems to be discarded for high data rate transmissions. Another physical layer, Multi Band Orthogonal Frequency Division Modulation (MB-OFDM), has been proposed within the IEEE802.15.3a task group. This technique is based on the well known OFDM scheme which allows good immunity towards multipath channels. In this proposal, only a 500MHz band is used at a given time, and a frequency hopping technique spreads the signal over several GHz. Finally, Direct Sequence Spreading (DSS) has also been proposed in the UWB framework (DSUWB). In this scheme, the data are spread over few GHz of bandwidth by means of very high rate sequences. In the existing proposal, the difficulty comes with the increase of the data rate, which imposes to shorten the spreading sequences. As a consequence there is an increase of the interference which results either in performance degradation or in receiver complexity increase. <o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><br />
</span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><b>UWB Spectrum</b><o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">Ultra Wide Band is defined as any system which operates with a bandwidth greater than one fourth the central frequency or larger than 500MHz. In UWB some parameters like propagation attenuation and penetration through obstacles are not constant on the whole bandwidth. This makes the channel much different from the narrow band case, mostly due to the fact that the central frequency in UWB signals cannot be considered as the carrier frequency. This increases the channel response length, and largely impacts the overall system performance. From a regulatory point of view since UWB systems overlap with existing ones, they must be limited by a spectral mask which defines the maximum power density spectrum of the transmitted UWB signal. More specifically, in the USA, the FCC limits the spectrum of UWB signals as described in the so called ‘part 15 rule’ document which is concerned with intentional radiators. The main allocated bandwidth lies between 3.1GHz and 10.5GHz, with an upper power spectral limit of −41dBm/MHz. Other frequency ranges are allowed in FCC part 15 but are not considered in our design. <o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><br />
</span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;"><b>UWB Channels</b><o:p></o:p></span></div><div class="MsoNormal" style="line-height: 150%; text-align: justify;"><span style="font-family: "Times New Roman","serif"; font-size: 12.0pt; line-height: 150%;">It is well known that wideband systems are impaired by inter symbol interference due to multipaths. In such systems (typically a bandwidth of 5-20MHz), the receiver distinguishes some groups of paths, each group being described by an attenuation coefficient ck(t). The channel is thus identified by a finite length vector [c0 . . . cN−1]. These paths (or group of paths) correspond to spatial details which size is about few meters. <o:p></o:p></span></div></span></span></div>.http://www.blogger.com/profile/12231586279374897112noreply@blogger.com1