Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data Abstract-Human action recognition is crucial to many practical applications, ranging from human-computer interaction to video surveillance. Most approaches either recognize the human action from a fixed view or require the knowledge of view angle, which is usually not available in practical applications. In…
Architecture of a Reusable BIST Engine for Detection and Autocorrection of Memory Failures and for IO Debug, Validation, Link Training, and Power Optimization on 14-nm SoC Abstract? The CPGC reusable BIST engine introduced an optional hardware repair engine that works in conjunction with software to provide autorepair technology. This repair capability has been adopted by…
Area and Energy-Efficient Complementary Dual-Modular Redundancy Dynamic Memory for Space Applications Abstract– In the first place, the limited size and power budgets of space-bound systems often contradict the requirements for reliable circuit operation within high-radiation environments. Here the smallest solution for soft-error tolerant embedded memory yet to be presented. In addition, complementary dual-modular redundancy (CDMR)…
Area-Delay-Power Efficient Carry-Select Adder Abstract?In this brief, the logic operations involved in conventional carry select adder (CSLA) and binary to excess-1 converter (BEC)-based CSLA are analyzed to study the data dependence and to identify redundant logic operations. We have eliminated all the redundant logic operations present in the conventional CSLA and proposed a new logic…
Area-Delay-Power Efficient Fixed-Point LMS Adaptive Filter With Low Adaptation-Delay Abstract?Area-Delay-Power Efficient Fixed-Point LMS Adaptive Filter With Low Adaptation-Delay. In this paper, we present an efficient architecture for the implementation of a delayed least mean square adaptive filter. For achieving lower adaptation-delay and area-delay-power efficient implementation, we use a novel partial product generator and propose…
Area-Delay-Power Efficient Fixed-Point LMSAdaptive Filter With Low Adaptation-Delay Abstract-Area-Delay-Power Efficient Fixed-Point LMSAdaptive Filter With Low Adaptation-Delay. In this paper, we present an efficient architecture for the implementation of a delayed least mean square adaptive filter. For achieving lower adaptation-delay and area-delay-power efficient implementation, we use a novel partial product generator and propose a strategy for…
ART: An Attack-Resistant Trust Management Scheme for Securing Vehicular Ad Hoc Networks Abstract? Vehicular ad hoc networks (VANETs) have the potential to transform the way people travel through the creation of a safe interoperable wireless communications network that includes cars, buses, traffic signals, cell phones, and other devices. However, VANETs are vulnerable to security threats…
Article Search Engine Abstract-Users access internet and get information from different Websites.The approach to find information from websites is a difficult task .To ease for searching of various information over the websites by giving search keywords requires a software.Article Search Engine software ensures the end user to get the information by accessing the websites specified…
Artificial bee colony algorithm for solving multi-objective optimal power flow problem Abstract?A new and efficient method for solving optimal power flow (OPF) problem in electric power systems. In the proposed approach, artificial bee colony < Final Year Projects 2016 > ABC algorithm is employed as the main optimizer for optimal adjustments of the power system…
Artificial Intelligence-Based Student Learning Evaluation: A Concept Map-Based Approach for Analyzing a Student?s Understanding of a Topic Abstract?Artificial Intelligence-Based Student Learning Evaluation: A Concept Map-Based Approach for Analyzing a Student?s Understanding we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE). The main purpose of this tool is to improve the use…
Artificial-Neural-Network-Based Phase-Locking Scheme for Active Power Filters Abstract?Artificial-Neural-Network-Based Phase-Locking Scheme for Active Power Filters. This paper presents a phase-locking control scheme based on artificial neural networks (ANNs) for active power filters (APFs). The proposed phase locking is achieved by estimating the fundamental supply frequency and by generating a phase-locking signal. The nonlinear-least-squares-based approach is modified…
ASIC and FPGA Implementation of the Gaussian Mixture Model Algorithm for Real-Time Segmentation of High Definition video Abstract-ASIC and FPGA Implementation of the Gaussian Mixture Model Algorithm for Real-Time Segmentation of High Definition video. Background identification is a common feature in many video processing systems. This paper proposes two hardware implementations of the OpenCV version…
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