Showing 73–84 of 2014 results
A High Performance Fingerprint Matching System for Large Databases Based on GPU Abstract?A High Performance Fingerprint Matching System for Large Databases Based on GPU. Fingerprints are the biometric features most used for identification. They can be characterized through some particular elements called minutiae. The identification of a given fingerprint requires the matching of its minutiae…
A High Speed Low Power CAM With a Parity Bit andPower-Gated ML Sensing Abstract-A High Speed Low Power CAM With a Parity Bit andPower-Gated ML Sensing. Content addressable memory (CAM) offers high-speed search function in a single clock cycle. Due to its parallel match-line (ML) comparison, CAM is power-hungry. Thus, < Final Year Projects >…
A High-Speed Low-Complexity Modified Radix-25 FFT Processor for Gigabit WPAN Applications Abstract?a novel modified radix-25 algorithm for 512-point fast Fourier transform (FFT) computation and high-speed eight-parallel data-path architecture for multi-gigabit wireless personal area network (WPAN) systems. The proposed FFT processor can provide a high data throughput and low hardware complexity by using eight-parallel data-path and…
A High-Throughput VLSI Architecture for Hard and Soft SC-FDMA MIMO Detectors Abstract? A novel low-complexity multiple-input multiple-output (MIMO) detector tailored for single-carrier frequency division-multiple access (SC-FDMA) systems, suitable for ef?cient hardware implementations. The proposed detector starts with an initial estimate of the transmitted signal based on a minimum mean square error < Final Year Projects...
A Historical-Beacon-Aided Localization Algorithm for Mobile Sensor Networks Abstract? Range-free localization approaches are cost-effective for mobile sensor networks (because no additional hardware support is required). However, existing range-free localization approaches for mobile sensor networks suffer from either sparse anchor node problem or high communication cost. Due to economic considerations, mobile sensor networks typically have sparse…
A Holistic Approach to Distributed Dimensionality Reduction of Big Data Abstract? Advances in CMOS technology have made digital circuits and systems very sensitive to manufacturing variations, aging, and/or soft errors. Fault-tolerant techniques using hardware redundancy have been extensively investigated for improving reliability. Quadded logic (QL) is an interwoven redundant logic technique that corrects errors by…
A HYBRID CLOUD APPROACH FOR SECURE AUTHORIZED DEDUPLICATION Abstract?A HYBRID CLOUD APPROACH FOR SECURE AUTHORIZED DEDUPLICATION. Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality…
A Hybrid Cloud Approach for Secure Authorized Deduplication Abstract? Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the con?dentiality of sensitive data while supporting deduplication, the convergent…
A Hybrid Image Compression Scheme using DCT and Fractal Image Compression Abstract?A Hybrid Image Compression Scheme using DCT and Fractal Image Compression. We introduce a new way to use fractal coding for image compression, based on the parallel use of a fractal encoder and a DCT encoder. The two encoders are given the complementary roles…
A Hybrid Wavelet Transform and Neural- Network-Based Approach for Modelling Dynamic Voltage-Current Characteristics of Electric Arc Furnace Abstract? A Hybrid Wavelet Transform and Neural- Network-Based Approach for Modelling Dynamic Voltage-Current Characteristics of Electric Arc Furnace. This paper proposes a discrete wavelet transform (DWT) and radial basis function neural network (RBFNN) based method for modeling the…
A Hyper-Heuristic Scheduling Algorithm for Cloud Abstract?A Hyper-Heuristic Scheduling Algorithm for Cloud. Rule-based scheduling algorithms have been widely used on many cloud computing systems because they are simple and easy to implement. However, there is plenty of room to improve the performance of these algorithms, especially by using heuristic scheduling. As such, this paper presents…
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification Abstract? A joint segmentation and classi?cation framework for sentence-level sentiment classi?cation. It is widely recognized that phrasal information is crucial< Final Year Projects 2016 > critical for sentiment classi?cation. However, existing sentiment classi?cation algorithms typically split a sentence as a word sequence, which does…
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