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53 results for “Signal Energy”
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Research ArticleOpen accessIn the abstractDYNAMIC PLANNING BASED SCHEDULING APPROACH FOR WIRELESS SENSOR NETWORKSM. Senthil Kumaran, R. RangarajanEnergy efficiency is an important issue in wireless sensor networks. A sensor node has a microprocessor and a small amount of memory for signal processing and task scheduling. Dynamic Planning is a method is used in this approach it combines the flexibility of dynamic scheduling with the predictability offered by schedulabilty check. Whenever a node wants to transmit data packet … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,819 accessesView PDFCite
Research ArticleOpen accessIn the abstractGate Replacement Technique for Reducing Leakage Current in Wallace Tree MultiplierNaveen Raman, ThanushkodiLeakage power has become more significant in the power dissipation of today’s CMOS circuits. This affects the portable battery operated devices directly. The multipliers are the main key for designing an energy efficient processor, where the multiplier design decides the digital signal processors efficiency. In this study gate replacement technique is used to reduce the leakage power in 4×4 Wallace … …Journal of Computer Science, Vol. 9, Issue 2 · 30 Mar 2013 · 6,763 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Quasi Delay Insensitive Reduced Stack Pre-Charged Half Buffer based High Speed Adder using pipeline templates for Asynchronous CircuitsD. Jayanthi, M. RajaramProblem statement: Recent research in asynchronous design technique is making asynchronous circuits an increasingly practical alternative. These challenges include the increasing pressure for low power, the growing challenges of predicting the increasing impact of wire load and delay and the performance penalty associated with supporting communication between different clock domains Asynchronous is binary signals, but there is no common or … …Journal of Computer Science, Vol. 8, Issue 7 · 7 Jun 2012 · 7,078 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiscrete Wavelet Transform Based Classification of Human Emotions Using Electroencephalogram SignalsMohamed RizonProblem statement: The aim of this study was to report the human emotion assessment using Electroencephalogram (EEG). Approach: An audio-visual induction based protocol was designed for inducing five different emotions (happy, surprise, fear, disgust and neutral) on 20 subjects in the age group of 19~39 years. EEG signals are recorded from 64 channels placed over entire scalp according to International … …American Journal of Applied Sciences, Vol. 7, Issue 7 · 31 Jul 2010 · 7,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractCross Layer Optimization Based on Rate Distribution in Multirate Wireless Sensor NetworkHonggang Wang, Dongming Peng, Wei Wang, Hamid SharifIt is important to increase the Wireless Sensor Network (WSN) lifetime, due to its limited energy resource, while meeting the constraints of applications. Recent Advances for In-Network Processing (INP) motivate many WSN applications which are based on multi rate and distributed signal processing, and therefore require the support of rate-based routing as well as MAC and link layer designs to … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 6,552 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDetection and Diagnostic Approach of COVID-19 Based on Cough Sound AnalysisMuzhir Shaban Al-Ani, Thabit Sultan Mohammed, Awni Ismail Sultan et al.Coronavirus (COVID-19) started at the end of 2019 and then spread out around the world as a pandemic at the beginning of 2020. At that time, researchers began to work on detecting and diagnosing this virus, where many methods have been applied for this reason. This study focuses on how to diagnose coronavirus through patients’ cough. Accordingly, real samples were … …Journal of Computer Science, Vol. 17, Issue 6 · 29 Jun 2021 · 7,803 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordBioInfoPhysics Models of Neuronal Signal Processes Based on Theories of Electromagnetic FieldsKang Cheng, Chang H. ZouProblem statement: The aphasia is one of human language and action related brain associative diseases. The mechanisms of the diseases and the brain association are still unclear. In this study, we proposed our models of the neuronal signal processes, in a view of BioInforPhysics, to understand the mechanisms. Approach: Our models are based on today’s solidest Electromagnetic Fields (EMF) theoretic … …Neuroscience International, Vol. 1, Issue 1 · 10 Feb 2010 · 6,898 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnergy Efficient Hidden Markov Model Based Target Tracking Mechanism in Wireless Sensor NetworksB. Amutha, M. PonnavaikkoProblem statement: Target tracking is a challenging application in Wireless Sensor Networks (WSNs) because it is computation-intensive and requires real-time location processing. This study proposes a practical target tracking system based on the Hidden Markov Model in a distributed signal processing framework. In this framework, wireless sensor nodes perform target detection and tracking, whereas target localization requires the collaborative signal … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,174 accessesView PDFCite