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检索条件"机构=Microelectronics System Design Laboratory Department of Electrical and Computer Engineering"

共 155 条记录，以下是81-90 订阅

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Cognitive processing using spiking neural networks

Cognitive processing using spiking neural networks

引用

IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Jacob N. Allen Hoda S. Abdel-Aty-Zohdy Robert L. Ewing Microelectronics System Design Laboratory Department of Electrical and Computer Engineering Oakland University Rochester Hills MI USA Air Force Research Laboratory OH USA

ISBN: (纸本)9781424444946

Powerful parallel cognitive processors can be developed by studying biologically plausible models of cognitive systems in animals and extrapolating key principles to be adapted for implementation in digital computer architectures. The network described here uses basic statistical methods such as proportion sampling on a massively parallel scale to create a general purpose pattern classifier. From these principles, we can achieve auto association and self organization that provides fundamental cognitive processing. Signal preprocessing is essential to transform the signal into a scale and rotation invariant binary pattern. The network avoids the curse of dimensionality by filtering out irrelevant inputs, allowing us to combine large sensor input vectors from multiple sources. Recent hardware designs define the network structure and state in memory, and then use accelerator processor cores to modify these memory structures in parallel.

关键词： Neural networks Neurons Biological system modeling Biology computing Biological information theory Brain modeling computer architecture microelectronics Power engineering and energy Biosensors

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Agile hardware development with rapid hardware definition language

Agile hardware development with rapid hardware definition la...

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IEEE International Conference on Electro-Information Technology

Rapid HDL is a hardware definition language developed in C# for the Microsoft .Net platform. Rapid HDL unifies digital FPGA hardware development and co-software integration. Hardware is scripted using reusable software objects, communication between hardware and software is automatic, and synthesis is automated using a free tool chain. Rapid HDL represents 18,000 lines of code and is freely available under the MIT license.

关键词： Hardware design languages Software libraries Testing Licenses microelectronics Force sensors Field programmable gate arrays Software reusability Software tools High level languages

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Next-generation advances in cognitive processing using spiking neural networks for biochemical sensing, radar and rapid HDL

Next-generation advances in cognitive processing using spiki...

引用

IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Hoda S. Abdel-Aty-Zohdy Jacob Allen Microelectronics Systems Design Laboratory Department of Electrical and Computer Engineering Oakland University Rochester MI USA

ISBN: (纸本)9781424444946

This invited plenary paper introduces a novel spiking neural network methodology, and applies it to an odorant learning, medical and radar detection applications. Rapid HDL is introduced as a 15 minute rapid prototyping approach, where real-time implementations will be demoed on FPGAs. The spike-time dependent plasticity can support coding schemes that are based on spatio-temporal spike patterns. Spiking (or pulsed) neural networks (SNNs) are models which explicitly take into account the timing of inputs. The network input and output are usually represented as series of spikes (delta function or more complex shapes). Plasticity SNNs have an advantage of being able to recurrently process information. Spike-time dependent plasticity can enhance signal transmission by selectively strengthening synaptic connections that transmit precisely timed spikes at the expense of those synapses that transmit poorly timed spikes.

关键词： Next generation networking Neural networks Radar Hardware design languages Signal design Signal processing Signal processing algorithms Biomedical signal processing Field programmable gate arrays Electronic noses

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A DLL-regulated SIMO power converter for DVS-enabled power-aware VLSI systems

A DLL-regulated SIMO power converter for DVS-enabled power-a...

引用

Midwest Symposium on Circuits and systems (MWSCAS)

作者： Rajdeep Bondade Dongsheng Ma Integrated System Design Laboratory Department of Electrical & Computer Engineering University of Arizona Tucson Tucson AZ USA

A delay-locked loop (DLL) regulated single-inductor multiple-output (SIMO) power converter is presented. It takes advantage of the fast phase locking property of a DLL to identify the SIMO converter's regulation errors between the output voltages and their corresponding references. In response to these errors, an adaptive peak current modulation technique is proposed to adjust the instantaneous duty ratios, and thus minimize the regulation errors in the converter. The DLL acquires locking within 350 ns, allowing it to respond to load dynamics promptly, which is very desirable for DVS-enabled power-efficient VLSI systems. The system was designed and simulated in IBM 130-nm CMOS process. Fully transistor-based HSPICE simulations show that, with a 1.8 V nominal input supply, the converter precisely regulates two independent output voltages at 0.9 V and 1.5 V, respectively. It achieves the maximum efficiency of 87.2% at a total power of 104.8 mW and a switching frequency of 500 kHz.

关键词： Very large scale integration Pulse width modulation Error correction Voltage control Delay Inductors Integrated circuit noise DC-DC power converters Network-on-a-chip Power dissipation

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Modeling and Characterizing User Experience in a Cloud Server Based Mobile Gaming Approach

Modeling and Characterizing User Experience in a Cloud Serve...

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GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

作者： Shaoxuan Wang Sujit Dey Mobile System Design Laboratory Department of Electrical and Computer Engineering University of California Los Angeles San Diego USA

With the evolution of mobile devices and networks, and the growing trend of mobile Internet access, rich, multi-player gaming using mobile devices, similar to PC-based Internet games, has tremendous potential and interest. However, the current client-server architecture for PC-based Internet games, where most of the storage and computational burden of the game lies with the client device, does not work with mobile devices, constraining mobile gaming to either downloadable, single player games, or very light non-interactive versions of the rich multi-player Internet games. In this paper, we study a cloud server based approach, termed Cloud Mobile Gaming (CMG), where the burden of executing the gaming engines is put on cloud servers, and the mobile devices just communicate the users' gaming commands to the servers. We analyze the factors affecting the quality of user experience using the CMG approach, including the game genres, video encoding factors, and the conditions of the wireless network. Based on the above analysis, we develop a model for Mobile Gaming User Experience (MGUE), and develop a prototype for real-time measurement of MGUE that can be used in real networks. We validate MGUE model using controlled subjective testing, and then use it to characterize user experience achievable using the CMG approach in wireless networks.

关键词： Clouds Web server Network servers IP networks Internet Mobile computing Wireless networks computer architecture Search engines Games

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Wave-front arrival time analysis using wide-area frequency measurements

Wave-front arrival time analysis using wide-area frequency m...

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IEEE General Meeting Power& Energy Society

作者： Jing Ma Jinlong Li Zengping Wang Jie Wu Tao Xia Lang Chen Yilu Liu School of Electrical and Electronic Engineering North China Electric Power University Beijing China Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute Blacksburg VA USA Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Beijing China Zhejiang Electric Power Design Institute Hangzhou China

Due to the influence of the local noise at the distribution level, the frequency curve obtained from the frequency disturbance recorder (FDR) unit is too non-stationary to observe its wave-front directly, which causes some problems in the event location estimation method. In this paper, a morphological filter (MF) is employed to extract the wave-front arrival time and the trend of the frequency curve. With the help of the MF, the accuracy of the event location method is greatly improved.

关键词： Frequency measurement Frequency estimation Power system measurements Network servers Wide area measurements Filters Web server Global Positioning system Frequency synchronization Power system dynamics

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Bio-Inspired Adaptive Integrated Information Processing

Bio-Inspired Adaptive Integrated Information Processing

引用

IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Hoda S. Abdel-Aty-Zohdy Microelectronics Systems Design Laboratory Department of Electrical and Computer Engineering Oakland University Rochester MI USA

Biological brains are dramatically more effective in dealing with real-world adaptive information processes and decisions than most advanced computers. Advanced computers can utilize the discipline of classical signal processing whereby providing theoretical mathematical and statistical approaches for information processing, and with the vision of bio-inspired adaptive processing are evolving into neuromorphic integrated sensory processing systems. Numerous MISO (multi-input, single output) sensory applications demand reliable and effective information processing which, at an initial stage may be addressed by solving the key problems of advanced computing platforms, which are: i-massive parallelism; ii-low power consumption of massively large systems; iii-intelligent systems that learn from observations and perform better on the next run; iv-integrated systems for embedded feasibility; and v-systems that adapt to the environment. Thus, our Adaptive Integrated Information Processing (AIIP) approaches, presented in this paper. Two AIIP systems are presented: Neural networks with synaptic plasticity, as our Spiking Neural Networks (SNNs), with up to one million inputs, for chemical sensing and detection; and Adaptive Recurrent Dynamic Neural Networks (ARDNNs) for defect tracking, reliable system deployment, and prognosis for telecommunication and similar applications. Further-our presented AIIP systems may provide a viable solution to offering powerful modulation schemes and transmission rates far beyond current possible communications systems.

关键词： Information processing Power system reliability Biological neural networks Neural networks Recurrent neural networks Biology computing computer vision Adaptive signal processing Biomedical signal processing Neuromorphics

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Fractional-Order Signal Processing using a Polymer-Electrolyte Transistor

Fractional-Order Signal Processing using a Polymer-Electroly...

引用

51st Midwest Symposium on Circuits and systems (MWSCAS 2008), vol.2

作者： Robert L. Ewing Hoda S. Abdel-Aty-Zohdy Michael C. Hollenbeck Kenneth S. Stevens Information Directorate US Air Force Research Laboratory OH USA Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester MI USA Department of Electrical and Computer Engineering University of Utah Salt Lake UT USA

Fractional-order systems have applications in the areas of Flight Control, Robotics, Missile Guidance, Control of Structural Vibrations of Space Platforms and Sensor Technology. Fractional-order transfer functions can characterize complex nonlinear dynamics with many fewer parameters than integer-order functions. This paper addresses the use of a polymer-electrolyte transistor (PET) for use in implementating fractional-order algorithms for signal processing. The PET's advantage over the conventional RC and RL circuits is that it can be both functionally scaled and varied for dynamic fractional-order parameter controllability.

关键词： Fractional-Order Signal Processing Polymer-electrolyte transistor Acid/base chemistry Diffusion Electrokinetic flow

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Biologically-Based Signal Processing Chips with Emphasis on Telecommunication Defect Tracking and Reliability Estimation

Biologically-Based Signal Processing Chips with Emphasis on ...

引用

IEEE Pacific Rim Conference on Communications, computers and Signal Processing

作者： Hoda S Abdel-Aty-Zohdy Microelectronics System Design Laboratory Department of Electrical and Computer Engineering Oakland University Rochester MI USA

This paper provides observations and motivations to mimic biological information processing. Alternative bio-inspired systems definitions, basics, approaches, algorithms, and chip implementations will be illustrated to offer a base of choice for bio-based Intelligent Information Processing (IIP) systems. Hybrid biological and bio-based IIP are briefly presented. Two specific applications follow with embedded bio-based systems: Bio-chemical sensing and detection E-nose; and Track improvements In the reliability of the software used in telecommunication network deployments. The biologically-based processing discoveries gleaned from observing the spikes in the brain activity of monkeys, introduced the concept of plasticity in synapses used in our embedded Spiking Neural Network (SNN) system for the E-Nose The mathematical construct of a defect tracking classifier is nonlinear, and the event to be recognized involves a sequentially varying or non-stationary phenomenon for telecommunication defect tracking and reliability estimation. Thus, Adaptive Recurrent Dynamic Neural Network (ARDNN) system using wavelet function as the basis improved the failure event estimation of software defect tracking in telecommunications and reduced the error from 88% to L25-8%.

关键词： Biomedical signal processing Signal processing algorithms Information processing Telecommunication network reliability Biological neural networks Application software Embedded software Brain Nonlinear dynamical systems Neural networks

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Bio-Inspired Integrated Chips for Telecommunications S/W Defect-Tracking

Bio-Inspired Integrated Chips for Telecommunications S/W Def...

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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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