proceedings in EEE
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Item Zigbee Cross Layer Optimization and Protocol Stack Analysis on Wireless Sensor Network For Video Surveillance(Bangladesh Electronics Society: Rajshahi, Bangladesh, 27-Jun-2008) Khan, Md. Rezaul Haque; Hossain, Md. Akbar; Mukta, Md. Saddam HossainEnergy consumption is one of the most crucial design issues in wireless sensor networks since prolonging the network lifetime depends on energyefficient communication protocols. In order to improve the overall system performance of WSN an optimization technique namely cross layer design can potentially be used by way of jointly optimizing and exploiting the power consumption behavior between various layers of the protocol stack. In this paper, we propose a cross-layer framework design for the ZigBee protocol. In our paper, we describe, analyze, find theItem Wideband Circularly Polarized Metamaterial based Antenna employing Metasurface Structure(IEEE, 30-Nov-2020) Tabassum, Samia; Jahan, NusratIn this work, a novel wideband compact and lowprofileItem Weather Independent Positioning of MS Using Power Slope Patterning Algorithm via One BS(Faculty of Electrical and Computer Engineering, CUET, 7-Feb-2019) Bhattacharjee, Avra; Islam, Md. Rafi; Ullah, Muhammad AhsanNumerous methods have been applied toItem Voltage Mode Control of Single Phase Boost Inverter(IEEE, 20-Dec-2008) Khan, Ainul Anam Shahjamal; Rahman, Kazi MujiburBoost inverter is able to generate an ac voltage whose peak value can be larger or smaller than the dc input voltage in a single stage. The boost inverter consists of two individual boost dc-dc converters. Each of the boost dc-dc converters has to be controlled in variable operating point condition. This paper proposes two voltage mode controllers. First one is conventional feedback controller based on small signal model. Second one is a simplified voltage mode controller based on Feedforward Pulse Width Modulation (FF-PWM) and simple voltage feedback loop to control the output voltage of the boost inverter. The second controller gave better result. The controller also ensures output voltage to meet IEEE Std 519 voltage harmonic limits. Unlike most previously proposed controllers, the proposed method is based only on output voltage feedback, making unnecessary the inductor current measurement. The control method is verified by means of simulations.Item A Vision Based Three-Layer Access Management System with IoT Integration(EWU, 3-May-2019) Hossain, Nafize Ishtiaque; Galib, Ali Reza; Mofidul, Raihan Bin; Sarker, Dhiman KumarIn developing countries, traditional accessItem UNIFIED POWER QUALITY CONDITIONER (UPQC): DEVELOPMENT OF HARDWARE USING FACTS TECHNOLOGY(The School of Applied Sciences and Technology, Shahjalal University of Science and Technology, 11-Jan-2011) Khan, P.K. Shadhu; Hossain, M. R. Tanvir; Alam, Md. Rafiqul; Gupta, A. K. SenUnified Power Quality Conditioner (UPQC), a relatively new device, can be used simultaneously in voltageItem Turbo Like Multi-Stage Threshold Decoding for Self-Orthogonal Convolutional Codes(Department of Electrical and Electronics Engineering, Bangladesh University of Engineering & Technology, 20-Dec-2012) Ullah, Muhammad Ahsan; Ogiwara, HaruoThis paper presents a new dimension of soft de coding turbo-like multi-stage threshold decoding (TLMTD) forItem Temporal Variables Disorder of The Gait Cycle in Parkinson’s Disease(EWU, 3-May-2019) Dewanjee, Adharaa Neelim; Hossain, Quazi Delwar; Arefin, Mohammed ShahriarThe biometric method which is involved withItem A Survey of Cross Country Generation Mix – Opportunities and Challenges: Bangladesh, Australia, and the U.S.A. Perspectives(Faculty of Electrical and Computer Engineering, CUET, 7-Feb-2019) Barua, Moon; Mohammad, Nur; Mutsuddy, Shantanu; Razak, Mohammad AbdurOptimal electricity generation mix profile is oneItem Surface Electromyographic signal based finger prosthesis control using ANN(Department of Electrical and Electronics Engineering, IUB, 26-Sep-2019) Islam, Jahedul; Sarker, Dhiman Kumar; Das, PiyasThis paper represents the development of surface Electromyographic (sEMG) signal-based finger prosthesis control. A filter & amplifier circuit captures the EMG signal from the surface of the human hand that can be recorded using ATmega-2560 micro-controller. The analysis of the output signal is done to study time domain features. In this paper, standard deviation, mean, a variance is taken as time domain feature. The signal is then trained using simple Artificial Neural Network to classify accurately two finger motion i.e. grip motion and thumb index finger motion.
