A Fully Digital Front-End Architecture for ECG Acquisition System With 0.5 V Supply Abstract?A new power-efficient electrocardiogram acquisition system that uses a fully digital architecture to reduce the power consumption and chip area. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database…
A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime Abstract?Wireless sensor network (WSN) brings a new paradigm of real-time embedded systems with limited compu-tation, communication, memory, and energy resources that are being used for huge range of applications where the traditional infrastructure-based network i s mostly infeasible. < final year projects >…
A generative probabilistic model and discriminative extensions for brain lesion segmentation ? with application to tumor and stroke Abstract? We introduce a generative probabilistic model for segmentation of brain lesions in multi-dimensional images that generalizes the EM segmenter, a common approach for modelling brain images using Gaussian mixtures and a probabilistic tissue atlas that employs…
A Heuristic Clustering-based Task Deployment Approach for Load Balancing Using Bayes Theorem in Cloud Environment Abstract? Aiming at the current problems that most physical hosts in the cloud data center are so overloaded that it makes the whole cloud data center? load imbalanced and that existing load balancing approaches have relatively high complexity, this paper…
A High-Throughput Energy-Efficient Implementation of Successive Cancellation Decoder for Polar Codes Using Combinational Logic Abstract? A high-throughput energy-efficient Successive Cancellation (SC) decoder architecture for polar codes based on combinational logic. The proposed combinational architecture operates at relatively low clock frequencies compared to sequential circuits, but takes advantage of the high degree of parallelism inherent in…
A Highly Reliable and High Efficiency Quasi Single – Stage Buck – Boost Inveter Abstract? To regulate an output ac voltage in inverter systems having wide input dc voltage variation, a buck-boost power conditioning system is preferred. This paper proposes a novel high efficiency quasi single-stage single-phase buck-boost inverter. The proposed inverter can solve current…
Civil Registry (Android App) Abstract– To regulate an output ac voltage in inverter systems having wide input dc voltage variation, a buck-boost power conditioning system is preferred. This paper proposes a novel high efficiency quasi single-stage single-phase buck-boost inverter. The proposed inverter can solve current shoot-through problem and eliminate PWM dead-time, which leads to greatly…
A Hybrid Approach for Efficient Privacy-Preserving Authentication in VANET Abstract– A vehicular ad hoc network (VANET) serves as an application of the intelligent transportation system that improves traffic safety as well as efficiency. Vehicles in a VANET broadcast traffic and safety-related information used by road safety applications, such as an emergency electronic brake light. The…
A Hybrid Bio-Inspired Algorithm for Scheduling and Resource Management in Cloud Environment Abstract-HYBRID Bio-Inspired algorithm for task scheduling and resource management, since it plays an important role in the cloud computing environment. Conventional scheduling algorithms such as Round Robin, First Come First Serve, Ant Colony Optimization etc. have been widely used in many cloud computing…
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 confidentiality of sensitive data while supporting deduplication, the convergent…
A Hybrid Intelligent System for Risk Assessment based on Unstructured Data Abstract– This paper presents a hybrid intelligent system (HIS) for risk assessment based on unstructured information. The generalised structure of a hybrid intelligent system ( H IS ) and its implementation in various information systems are described using a number of case studies. The…
A hybrid particle swarm optimization for feature subset selection byintegrating a novel local search strategy Abstract?tFeature selection has been widely used in data mining and machine learning tasks to make a modelwith a small number of features which improves the classifier?s accuracy. In this paper, a novel hybridfeature selection algorithm based on particle swarm optimization…