به نام خدا
Title: Integration of Face Recognition and Sound Localization for a Smart Door Phone System
Authors: Taewan Kim, Hyungsoo Park, and Yunmo Chung
Abstract: This paper proposes a smart system using both face recognition and sound localization techniques to identify the faces of visitors from a door phone in much efficient and accurate ways. This system is effectively used to recognize the faces when their locations are out of the boundaries of the camera scope of the door phone. The smart door phone system proposed in this paper uses a visitor’s voice source to rotate the camera to his face and then to recognize the face accurately. The integrated system has been designed with one FPGA(Field Programmable Gate Array) chip and tested for actual use in door phone environments.
Publish Year: 2013
Published in: ICCE - IEEE
Number of Pages: 2
موضوع: تشخصی چهره و صدا
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Design of a Mastering System for Digital Cinema
Authors: Yeonjeong Jeong, Bumho Kim, Kisong Y oon
Abstract: Digital Cinema Initiatives released a set of technical specifications and requirements for Digital Cinema. The mastering system of digital cinema produces the Digital Cinema Package (DCP) which has been designed to deliver digital cinema contents such as image, audio and subtitle between Digital Cinema content processing centers. We propose a mastering system that covers the packaging process of DCP for Digital Cinema content and protection of it.
Publish Year: 2013
Published in: ICACT - IEEE
Number of Pages: 5
موضوع: سینمای دیجیتال
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: Adaptive Control for an HVDC Transmission Link with FACTS and a Wind Farm
Authors: Yufei Tang, Haibo He, Senior Member, IEEE, and Jinyu Wen, Member, IEEE
Abstract: Due to the nonlinearity, uncertainty and complex-ity of the power system, it is a challenging task to design aneffective control approach based on the exact model using tradi-tional methods. In this paper, we investigate the application of anovel approximate dynamic programming (ADP) architecture,goal representation heuristic dynamic programming (GrHDP),to a large benchmark power system. Unlike traditional ADPdesign with an action network and a critic network, GrHDPintegrates the third network, a goal network, into the actor-critic design (ACD) to automatically and adaptively build an in-ternal reinforcement signal representation to facilitate learningand optimization. Then the GrHDP is employed to control thebenchmark power system including a DFIG based wind farmand a STATCOM with HVDC transmission. Various powersystem states, including the voltage of STATCOM, current ofDFIG and DC current of HVDC inverter, are provided to theGrHDP controller to generate three adaptive supplementarycontrol signals. These adaptive supplementary control signalsare then provided to the STATCOM controller, DFIG rotor sidecontroller and HVDC master control, respectively. This controlstructure is validated in Matlab/Simulink to demonstrate itseffectiveness in power system control.
Publish Year: 2013
Published in: ISGT - IEEE
Number of Pages: 6
موضوع: مهندسی برق – قدرت
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
Title: A framework for enabling patient monitoring via mobile ad hoc network
Authors: Sweta Sneha, Upkar Varshney
Abstract: A critical component of comprehensive patient monitoring is reliability in communication between the patients and the healthcare professionals without any time and location dependencies. Patient monitoring applications largely rely on infrastructure based wireless networks for signal transmission. However, infrastructure based wireless networks till date, suffer from unpredictable network coverage and have thus been attributed to the unpredictable communication reliability of patient monitoring applications. This research investigates an approach based on leveraging mobile ad hoc network to address the challenge of enhancing communication reliability in the context of patient monitoring. Mobile ad hoc network, formed among patient monitoring devices, has the potential of enhancing network coverage and enabling signal transmission from an area which has low or non-existent coverage from infrastructure based networks. In order to utilize mobile ad hoc network in the context of patient monitoring we propose (1) power management protocols that address the challenge of managing the low battery power of patient monitoring devices while maximizing communication reliability and (2) a framework that models the complex decision logic involved in leveraging mobile ad hoc network for diverse patient monitoring scenarios. Analytical evaluation of the proposed approach supports the premise that mobile ad hoc network formed among patient monitoring devices can enhance the reliability of signal transmission thereby improving the quality of patient monitoring applications. Technical and managerial implications of the research findings and the direction of future research are discussed.
Publish Year: 2013
Published in: Decision Support Systems - Science Direct
Number of Pages: 17
موضوع: شبکه های Ad-Hoc
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان
به نام خدا
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
ایران سای – مرجع مقالات علمی فنی مهندسی
حامی دانش بومی ایرانیان