Common Mode Noise Modeling and Analysis of Full-Bridge DC-DC Con

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Title: Common Mode Noise Modeling and Analysis of Full-Bridge DC-DC Converter

Authors: Jin Zhi Li, Trillion Q Zheng, Ming Zhi He

Abstract: The principle of full-bridge DC-DC converter is briefly expounded, including the two typical control methods, named limited dual polarity hard-switch control and phase-shifted soft-switch control. Then the common mode noise equivalent circuits of full-bridge DC-DC converter are deduced, taking the common mode noise of the bridge leg_s midpoint into account, and the difference between the two typical control strategies is illustrated through theoretical analysis. In the end, simulations are performed to validate the circuit models and theoretical analysis.   

Publish Year: 2012

Published in: IEEE-INTELEC

Number of Pages: 7

موضوع:  مهندسی الکترونیک

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Slim Ware: Dynamic Interfacing Method for Lightweight Middleware

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Title: Slim Ware: Dynamic Interfacing Method for Lightweight Middleware in Mobile Computing

Authors: TaeGyu Lee, GiSoo Chung

Abstract: we propose the dynamics and mobility interface method for light-weighting of middleware in mobile computing applications. The previous middleware did not properly support the lightweight and mobility of mobile user terminals. Therefore this paper presents the dynamic configuration method of mobile middleware components and the mobility interface strategy. The proposed middleware system called of "SlimWare" provides the component dynamic logic and the interface design.   

Publish Year: 2013

Published in: ICACT - IEEE

Number of Pages: 5

موضوع: محاسبات موبایل (Mobile Computing)

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RFID-based Location System for Forest Search and Rescue Missions

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Title: RFID-based Location System for Forest Search and Rescue Missions

Authors: Soukayna Mouatadid, Zineb Fatara, Yassine SalihAlj

Abstract: This paper presents the framework of an RFID-based rescue robot for missing people in forest environment. The three main design considerations include the reliability, the cost, and the environmental sustainability. For that, the paper analyzes different outdoor location technologies that can be used for this task, namely GPS, WiMAX and RFID. Former research in mobile robots based on GPS and WiMAX has resulted in high costs systems while RFID offers a lower cost alternative. The aim of this work is to provide an already existing mobile robot with RFID technology. Moreover, to overcome the inability of current rescue robots to detect human presence, the addition of an Infrared camera with thermal sensors is discussed. Finally, in order to optimize the energy management and to increase the autonomy of the rescue robot, the paper presents a power supply solution using solar energy.   

Publish Year: 2013

Published in: ISMS - IEEE

Number of Pages: 6 

موضوع: RFID، WiMAX

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Energy Efficient Video Decoding for the Android Operating System

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Title: Energy Efficient Video Decoding for the Android Operating System

Authors: WenYew Liang, MingFeng Chang, YenLin Chen and ChinFeng Lai

Abstract: Dynamic voltage and frequency scaling (DVFS) is an effective technique for reducing power consumption. Due to the increasing popularity of multimedia applications for portable consumer electronic devices, the importance on reducing their power consumption becomes significant. This paper proposed a table-based DVFS mechanism for frame decoding that reduces the power consumption of a processor by exploiting the frame decoding complexity. A table-based DVFS predictor is used in the frame decoding prediction. This study was implemented in the Android operating system on an Intel PXA27x embedded platform. Experiment results showed that the energy consumption of decoding videos can be reduced from 9% to 17%, whereas the frame drop-rate is less than 3%.   

Publish Year: 2013

Published in: ICCE - IEEE  

Number of Pages: 2

موضوع: سیستم عامل اندروید (Android Operating System)

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Indoor Air Quality Control for Energy-Efficient Buildings Using

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Title: Indoor Air Quality Control for Energy-Efficient Buildings Using CO 2 Predictive Model

Authors: Zhu Wang and Lingfeng Wang

Abstract: In this paper, an intelligent control system for indoor air quality in energy-efficient buildings is proposed. The goal of intelligent air quality control for energy-efficient buildings is to maintain the indoor CO 2 concentration in the comfort zone with a minimum amount of energy consumption. In this study, the CO 2 concentration is used as the indicator of indoor air quality and a CO 2 predictive model is utilized to forecast the indoor CO2 concentration. Particle swarm optimization (PSO) is applied to derive the optimal ventilation rate. As compared with the traditional ON/OFF ventilation control system, the performance of the proposed intelligent control system has demonstrated its advantage in terms of energy savings. A case study and corresponding simulation results are detailed in the paper.   

Publish Year: 2012

Published in: INDIN - IEEE

Number of Pages: 6

موضوع: کنترل کیفیت (Quality Control)

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