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IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： Hoda S Abdel-Aty-Zohdy Mostafa Hashem Sherif Adam Smiarowski Brian Searing WPAFB/RITA Air Force Research Laboratory OH USA Microelectronics System Design Lab Electrical and Computer Engineering Department Oakland University Rochester MI USA Middletown NJ USA

Defect tracking is important in evaluating the reliability of the software used in telecommunication networks. Bio-inspired integrated approaches and embedded chips have been developed and implemented to track improvements in the software reliability. In this paper, the integrated model for the failure discovery during testing is combined with bio-inspired approaches using the recurrent dynamic neural network (RDNN) with parametric adjustments and wavelets as basis; and the adaptive parameters RDNN (ARDNN) where the criterion is to minimize the error in failure intensity estimation, subject to the model constraints. Simulation results favor our adaptive recurrent dynamic neural network, with reduced error from 88% to 1.25 –to- 8% based on the number of iterations in the training phase.. The ARDNN approach provides optimum solution to the dynamic problem at hand since it iterates on the shape of the wavelet basis and provide adequate recovery of the data in the form of piecewise linear differential.

关键词： Software testing Neural networks Telecommunication network reliability Recurrent neural networks Genetic algorithms Parameter estimation Biomedical signal processing Information technology microelectronics Computer networks

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A resonance enhanced 5.2-GHz-band monolithic CMOS LNA with 0.7-V supply

A resonance enhanced 5.2-GHz-band monolithic CMOS LNA with 0...

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ICSICT-2006: 2006 8th International Conference on Solid-State and Integrated Circuit Technology

作者： Jing, Yi-Ou Li, Yong Shen, Yi-Hao Lai, Zong-Sheng Jing, Wei-Ping Institute of Microelectronics Circuits and System East China Normal University Shanghai 200062 China Jiangsu Provincial Key Lab of ASIC Design Nantong University Nantong 226007 China

ISBN: (纸本)1424401615

A resonance enhancement technology for low-noise amplifier (LNA) design is investigated in this paper. In this proposed architecture, the character of series/parallel LC resonant tank is used for input and output networks. The LNA is operating at 5.2 GHz, which consumes 8 mW from a 0.7 V supply with a voltage gain of 17.9 dB. It shows good IIP3 of +1.8mW and low noise figure of 2.9 dB. The balanced performance is good at this level of power consumption. © 2006 IEEE.

关键词： CMOS integrated circuits

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Wavelet based RDNN for software reliability estimation

Wavelet based RDNN for software reliability estimation

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11th IEEE Symposium on Computers and Communications, ISCC 2006

作者： Smiarowski, Adam Abdel-Aty-Zohdy, Hoda S. Sherif, Mostafa Hashem Shah, Hemal Microelectronics System Design Lab. Oakland University Rochester MI 48309 United States AT and T Bell LabsC5-2018 Middletown NJ 007748 United States

ISBN: (纸本)0769525881

Using the wavelet basis in Recurrent Dynamic Neural Network (RDNN) can improve the failure event estimation of software defect tracking in telecommunications. Non-linearity of the system is represented by proper selection of the wavelet function. This RDNN handles noisy data and enhances the speed of convergence as compared with alternate approaches. A new adaptive RDNN is presented where software deployment testing observations are used to synthesize intrinsic model parameters. © 2006 IEEE.

关键词： Recurrent neural networks

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Three Bio-Inspired Approaches to Telecommunications Defect-Tracking and Reliability-Estimation

Three Bio-Inspired Approaches to Telecommunications Defect-T...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： Hoda S Abdel-Aty-Zohdy Mostafa Hashem Sherif Adam Smiarowski Microelectronics System Design Lab Electrical and Computer Engineering Oakland University Rochester MI USA

Three alternative bio-inspired approaches are proposed to investigate telecommunication system reliability and defect tracking. They employ a recent model for the failure discovery in the associated system software. These are: half-sibling and a clone (HSAC) genetic algorithm; a recurrent dynamic neural network (RDNN) requiring parametric adjustments and using wavelets as basis; another RDNN with Adaptive parameters to incoming stream of input data, such that the error in failure intensity is minimized, subject to the model constraints. Each approach aims to improve speed of convergence, reliability, noise tolerance, and suitability for hardware implementation. Simulation results seem to favor the ARDNN since it iterates (about 10) on the shape of the wavelet basis and provide adequate recovery of the data in the form of piecewise linear differential.

关键词： Telecommunication network reliability system software Cloning Genetic algorithms Neural networks Recurrent neural networks Convergence Noise shaping Hardware Shape

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A Resonance Enhanced 5.2-GHz-Band Monolithic CMOS LNA With 0.7-V Supply

A Resonance Enhanced 5.2-GHz-Band Monolithic CMOS LNA With 0...

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2006 8th International Conference on Solid-State and Integrated Circuit Technology

作者： Yi-ou Jing Yong Li Yi-hao Shen Zong-sheng Lai Wei-ping Jing Institute of Microelectronics Circuits and System East China Normal University Jiangsu Provincial Key Lab of ASIC Design Nantong University

ISBN: (纸本)1424401607

＜正＞A resonance enhancement technology for low-noise amplifier（LNA） design is investigated in this *** this proposed architecture,the character of series/parallel LC resonant tank is used for input and output networks. The LNA is operating at 5.2 GHz,which consumes 8 mW from a 0.7 V supply with a voltage gain of 17.9 dB. It shows good IIP3 of+1.8mW and low noise figure of *** balanced performance is good at this level of power consumption.

关键词： Resonance Voltage Inductors Impedance CMOS technology Inductance Capacitors Radio frequency Resistors Resonant frequency

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Introducing RapidHDL: A New Library to design FPGA Hardware in Microsoft. Net and Automatically Generate Verilog Netlists

Introducing RapidHDL: A New Library to Design FPGA Hardware ...

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IEEE International Conference on Electro-Information Technology

作者： Jacob N. Allen Hoda S. Abdel-aty-zohdy Robert L. Ewing Microelectronics System Design Lab Department of Electrical and Computer Engineering Oakland University Rochester MI USA Information Directorate Air Force Research Laboratory USA

RapidHDL is introduced as a new object oriented hardware description library for C# developers. RapidHDL seeks to speed up FPGA development by applying best practices used in software engineering to increase productivity. Logic is rapidly defined in component classes using a structure of truth-table definitions, sink nodes, source nodes, and pass-through nodes. Hardware simulation co-runs with C# programs, and a linked-list of clock events simulates propagation delays. A standardized testing framework allows the developer to write test benches, hardware, and software in a single language. Algorithms are presented to automatically transform RapidHDL objects to Verilog netlist that can be synthesized by calling 3rd party tools

关键词： Field programmable gate arrays Hardware design languages Software libraries Object oriented modeling Discrete event simulation Software testing Best practices Software engineering Productivity Logic

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Novel high-speed low-power BiCMOS frequency divider

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Dianzi Qijian/Journal of Electron Devices 2006年第3期29卷 701-705页

作者： Li, Yong Xu, Yong-Sheng Lai, Zong-Sheng Jin, Wei Tao, Yong-Gang Hong, Liang Jing, Wei-Ping Institute of Microelectronics Circuit and System East China Normal University Shanghai 200062 China Jiangsu Provincial Key Lab of ASIC Design Nantong University Nantong 226007 China

A frequency divider based on BiCMOS technology is presented, which combines the merit of bipolar with that of CMQS technology. Latch is the basic unit of frequency divider. The speed of latch has a direct effect on the performance of divider, which can be improved by separating trace differential pair and cross-coupled pair and decreasing the bias current of the later. The power of divider can be declined by means of combination of the trace differential pairs of these two latches. A novel high-speed low-power BiCMOS frequency divider provides higher speed for maximum frequency up to 2.4 GHz and power of -1.61 dBm, simulated in Cadence SPECTRE with 0.8 μm BiCMOS model.

关键词： BiCMOS Cross-coupled pair Flip-Flop divider Latch mode Trace differential pair Track mode

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Special section on VLSI design and CAD algorithms

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2006年第12期E89A卷 3377-3377页

作者： Onodera, Hidetoshi Department of Communications and Computer Engineering Graduate School of Informatics Kyoto University Japan SIG-SLDM (System LSI Design Methodology) IPSJ Japan Univ. of Tokyo Japan Kyushu Univ. Japan Tokyo Inst. of Tech. Japan Kyushu Inst. of Tech. Japan JAIST Japan Kobe Univ. Japan Waseda Univ. Japan Kumamoto Univ. Japan Sanyo Japan Fujitsu Lab. Hong Kong Gunma Univ. Japan Nagoya Univ. Japan Osaka Univ. Japan NEC Tokyo Metropolitan Univ. Japan Hokkaido Univ. Japan Matsushita Japan Toshiba Microelectronics Japan Univ. of Shizuoka Japan Hitachi Japan

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Novel usage of wavelets as basis in RDNN for telecommunication applications

Novel usage of wavelets as basis in RDNN for telecommunicati...

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2005 IEEE International 48th Midwest Symposium on Circuits and systems, MWSCAS 2005

作者： Shah, Hemal Abdel-Aty-Zohdy, Hoda S. Sherif, M. Hashem Microelectronics System Design Lab. Oakland University Rochester MI 48309 AT and T Bell Labs. C5-2018 200 S. Laurel Avenue Middletown NJ 007748

ISBN: (纸本)0780391977

The paper explores the use of wavelet basis Recurrent Dynamic Neural Network (RDNN) to improve the estimation of reliability growth of communication network's software. The presented RDNN handles noise contaminated data and provides enhanced speed and performance of the system as compared with alternate approaches. Non-linearity of the system is represented by proper selection of the wavelet function. The Integrated defect tracking model parameters and the data are fed to the RDNN and the network is trained for optimizing the defect tracking model performance. The designed system will assist the service release management in obtaining more effective risk reduction. Using wavelet basis for RDNN requires only 10 iterations compared to 200 iterations with hump as basis function. It also reduces the maximum percentage error from 88% to 7.69% in the expected outputs. This also improves the telecommunication system defect tracking and network deployment. © 2005 IEEE.

关键词： Wavelet transforms

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Novel usage of wavelets as basis in RDNN for telecommunication applications

Novel usage of wavelets as basis in RDNN for telecommunicati...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： H. Shah H.S. Abdel-Aty-Zohdy M. Hashem Sherif Microelectronics System Design Lab Oakland University Rochester MI USA AT and T Bell Laboratories Inc. Middletown NJ USA

The paper explores the use of wavelet basis recurrent dynamic neural network (RDNN) to improve the estimation of reliability growth of communication network's software. The presented RDNN handles noise contaminated data and provides enhanced speed and performance of the system as compared with alternate approaches. Nonlinearity of the system is represented by proper selection of the wavelet function. The integrated defect tracking model parameters and the data are fed to the RDNN and the network is trained for optimizing the defect tracking model performance. The designed system will assist the service release management in obtaining more effective risk reduction. Using wavelet basis for RDNN requires only 10 iterations compared to 200 iterations with hump as basis function. It also reduces the maximum percentage error from 88% to 7.69% in the expected outputs. This also improves the telecommunication system defect tracking and network deployment

关键词： Neural networks Recurrent neural networks Nonlinear dynamical systems microelectronics Risk management Telecommunication network reliability Nonlinear equations Intelligent systems Intelligent networks Signal representations

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