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Bio-inspired integrated circuits for signal perception and processing

Bio-inspired integrated circuits for signal perception and p...

引用

2003 Nanotechnology Conference and Trade Show - Nanotech 2003

作者： Abdel-Aty-Zohdy, Hoda S. Ewing, Robert L. Microelectronics System Design Lab Department of Electrical Engineering Rochester MI 48309 United States Information Directorate Air Force Research Laboratory Wright-Patterson AFB OH 45433 United States

ISBN: (纸本)0972842209

Bio-inspired systems utilizing neural networks (NNs) and genetic algorithms (GAs) are presented for communications, networking information dissemination, and real-time control in signal perception and processing (SPP). VLSI and nano circuits and systems will provide affordable, reproducible, and reliable front-end high performance SPP. Sample applications are presented for integrated intelligent E-Nose systems, and Communication systems which include: i-Self-Organizing feature Map for discovery, ii- Recurrent Dynamic Neural Networks (NNs), with output neurons feedback and feed forward arrays for noisy signals, iii- Reinforcement NNs for applications with only key features, rather than a known model, iv- Spiking NNs that adjust their synapses subject to changes in the environment, and v- Genetic Algorithms for characterization and optimization.

关键词： Integrated circuits

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Dynamic impedance model of piezo ElectroChemical transducer effect for a smart battery

Dynamic impedance model of piezo ElectroChemical transducer ...

引用

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

作者： Teli, Purvi S. Abdel-Aty-Zohdy, Hoda S. Line Vogel, F. Ewing, Robert L. Microelectronics System Design Laboratory Department of Electrical and System Engineering Oakland University Rochester MI 48309 GraphiTech Inc. St. Clair Shores MI 48080 Air Force Research Laboratory Information Directorate Wright-Patterson AFB OH 45433

ISBN: (纸本)0780391977

Intelligent power management for dry cell batteries may be accomplished by external circuitry which is connected to the individual power cells. In comparison, the presented Graphite circuit model, along with lead-acid battery technology facilitates the power management of wet cells in sealed packaging. This paper reiterates the Piezo ElectroChemical Transducer (PECT) effect based on the intercalation of graphite with sulfuric acid;Introduces a first attempt at developing a dynamic circuit model which will facilitate for a wide range of smart PECT applications. The paper also addresses the usage of PECT effect device for smart battery management, which operates in sulfuric acid environment. The developed dynamic impedance circuit model of PECT effect device can be used further to understand the changes in resistance and reactance properties of PECT device with the change in the temperature, voltage, current, stages, type of graphite and the concentration of sulfuric acid of electrochemical intercalation of graphite with sulfuric acid. © 2005 IEEE.

关键词： Photoelectrochemical cells

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Energy diffusion model of bR for voxel identification

Energy diffusion model of bR for voxel identification

引用

Midwest Symposium on Circuits and systems (MWSCAS)

作者： D. Garcia Neto H.S. Abdel-Aty-Zohdy Microelectronics System Design Laboratory-Department of Electrical and Systems Engineering Oakland University Rochester USA

In this paper, a potential biological structure for computer volumetric memory is investigated. Bacteriorhodopsin is a protein found in the purple membrane of the bacteria Halobacterium salinarum. This protein has light absorption properties that generate different stable states allowing the use of multilevel logic as well as binary logic. CHARMmtrade has been used to simulate the energy response of Bacteriorhodopsin at room temperature 300K for the bR ground state and the other states. The K state takes place after blue light (lambda= 635nm) absorption on the bR state. The energy difference is found to be an increase of 1086.92 kcal/mol which is responsible for triggering the photocycle that also includes the states K, L, M, N, and O. An energy surplus is found between O and bR state that may be spread to surrounding molecules. However, conformational interference does not produce photons necessary for the isomerization reaction. Further quantum molecular (QM) analysis should provide an extended model for this macromolecular energy study

关键词： Biological system modeling Proteins Absorption Logic Biology computing Biomembranes Microorganisms Computational modeling Land surface temperature Stationary state

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Signal perception and processing with bio-inspired sub-micro-systems

Signal perception and processing with bio-inspired sub-micro...

引用

2002 45th Midwest Symposium on Circuits and systems

作者： Abdel-Aty-Zohdy, Hoda S. Ewing, Robert L. Microelectronics System Design Lab. Department of Electrical Engineering Oakland University Rochester MI 48309 United States Information Directorate Air Force Research Laboratory Wright-Patterson AFB OH 45433 United States

Bio-inspired systems utilizing neural networks and genetic algorithms are presented in this paper for applications in pattern discovery, identification, classification, and optimum choices for Signal Perception and Processing (SPP), Sample overview applications are presented for: (I) Integrated Intelligent E-Nose systems, and (II) Communication systems dealing with: (1) Connection admission control;(2) Network congestion;(3) Resource management;(4) Priorities and constrains of service control;and (5) Application-specific network adaptation. Bio-inspired systems include: i-Self-Organizing feature Map for discovery, ii- Recurrent Dynamic Neural Networks (NNs), with output neurons feedback and feed forward arrays for noisy signals, iii- Reinforcement NNs for applications with only key features, rather than a known model, iv- Spiking NNs that adjust their synapses subject to changes in the environment, and v- Genetic Algorithms for characterization and optimization. This paper summarizes alternative combinations and structures of novel bio-inspired, VLSIC embedded systems for detection and quantification of bio-chemical agents, and optimum performance of SPP.

关键词： Signal processing

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Analog computational circuits for neural network implementations

Analog computational circuits for neural network implementat...

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IEEE International Conference on Electronics, Circuits and systems (ICECS)

作者： M. Al-Nsour H.S. Abdel-Aty-Zohdy Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester MI USA

High performance NMOS analog circuits which perform voltage addition, average weighing, and signal scaling are presented. Utilization of these circuits in artificial neural network applications is briefly discussed. The circuits are characterized by a simple structure which offers compactness, low voltage supply, and wide input range. In addition, inputs and outputs are voltages which eliminate the need for current voltage conversion. Hence, reduced power consumption and higher performance is achieved. A two-input analog adder has been accomplished through MOSIS 2.0 /spl mu/m n-well CMOS technology at Orbit Semiconductors, and occupies an area of 135/spl times/145 /spl mu/m/sup 2/. Inputs are within /spl plusmn/3 V for 3.3 V supply. Power consumption is less than 0.5 mW and THD is less than -36 dB. Measurements and performance evaluation are presented.

关键词： Analog computers computer networks Neural networks Artificial neural networks Energy consumption CMOS technology MOS devices Analog circuits Low voltage Adders

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Reinforcement neural learning with application to gas sensors

Reinforcement neural learning with application to gas sensor...

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Midwest Symposium on Circuits and systems (MWSCAS)

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

Neural net reinforcement learning algorithm and its application to gas (chemicals) classification and quantification are considered in this paper. The approach does not require memory and has simplified reward/punishment computations. The advantages and disadvantages of the reinforcement algorithm are contrasted against other competing neural algorithms. The reinforcement learning has been found practical, when each gas (chemical) is distinguished by several features and characteristics with possible overlap. The paper also gives an account of integrated circuit digital chip implementation for typical four gases with temperature, pressure, and flow quantity features. The number of required iterations has been found to depend on reward and penalty parameters, as well as the threshold governing the learning. It is believed that our implementation approach has potential uses in auto industry safety and emission control, as well in automated semiconductor manufacturing process.

关键词： Gas detectors Learning Chemicals Neural networks Digital integrated circuits Gases Temperature Industrial control Manufacturing industries Safety

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Reinforcement learning neural network circuits for electronic nose

Reinforcement learning neural network circuits for electroni...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： H.S. Abdel-Aty-Zohdy M. Al-Nsour Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester MI USA

This paper approaches electronic nose design from two promising angles: reinforcement neural network (RNN) learning algorithms, and naturally compatible analog circuits. This approach is inspired by biological sensing and discrimination of a multitude of odors in a background environment. A VLSI system approach is presented for classification of chemical compounds, with knowledge of key features only. Based on utilizing microsensor arrays, reinforcement neural networks are used to affect nonparametric pattern recognition, classification, and distinction among multicomponent chemicals. A specialized RNN approach is chosen. Realization and implementation of analog RNN circuits is presented using 1.2 /spl mu/m CMOS n-well technology, at AMI, through the MOSIS facilities. Preliminary results are satisfactory and lend evidence to the effectiveness of the analog designed neural network building blocks for temporal and spatial NN pattern recognition.

关键词： Learning Neural networks Electronic noses Recurrent neural networks Pattern recognition CMOS technology Algorithm design and analysis Analog circuits Very large scale integration Chemical compounds

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An improved ASIC design and implementation for color space conversion applications

An improved ASIC design and implementation for color space c...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： M. Nsour H.S. Abdel-Aty-Zohdy Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester MI USA

The design and VLSI implementation of an ASIC chip, which performs real time conversion, the Red, Green, and Blue (RGB) color coordinates to CIE (Commission Internationale de l'Eclairage) standard L* (luminance), a* (redness-greenness), and b* (yellowness-blueness) color coordinates, is presented. High-speed operation of this ASIC is achieved by pipelining the input data, and performing parallel operations. The ASIC is implemented using CMOS, 2.0 /spl mu/m, n-well process. It occupies an area of 1.55/spl times/1.45 mm/sup 2/. The chip is intended to be used in colorimetry manufacturing inspection and robotics precision. Inputs are 3 bits each. a* and b* are 7 bits each, L* is 6 bits.

关键词： Application specific integrated circuits systems engineering and theory Inspection Application software Humans Extraterrestrial measurements Instruments Color microelectronics Laboratories

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Formal verification and performance evaluation of logic integrated systems based on hierarchical analysis

Formal verification and performance evaluation of logic inte...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： F.A. El-Licy H.S. Abdel-Aty-Zohdy Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester MI USA

ISBN: (纸本)078037150X

Formal verification of very large scale integrated circuit (VLSIC) involves the formal correctness of the functionality of a given design, while circuit validation involves the reliability and efficiency of the design. A hierarchical approach for computation, of IC design efficiency is proposed and implemented using figures of merit. The work has been motivated to partially complete an IC formal verification tool. The implemented system is integrated into a formal verification environment to reflect the performance of the verified system. The system is capable of analyzing the power dissipation and figures of merit using equivalent R and C components. The hierarchical analysis and evaluation of figures of merit general factors obtained at different system levels represent performance evaluation of each gate. An illustrative example of a 6/spl times/6 carry look-ahead adder is given and worst case conditions have been determined. The system performance may thus be improved.

关键词： Formal verification CMOS logic circuits Binary trees Power dissipation Semiconductor device modeling Laboratories Performance analysis Switches Delay effects Logic design

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An algorithm for the design of a residue-to-binary converter

An algorithm for the design of a residue-to-binary converter

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： A.A. Hiasat H.S. Abdel-Aty-Zohdy Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester MI USA

This paper presents a new algorithm which converts moduli (2/sup k/, 2/sup k/-1, 2/sup k/-1-1) residue numbers to their binary equivalents. A suitable hardware implementation which utilizes binary adders, and needing no memory, is proposed. If the system is pipelined, then the throughput rate is that of a single (3k-1) bits adder. Thus, hardware requirements and execution time are less, with corresponding larger dynamic range.

关键词： Algorithm design and analysis Signal processing algorithms Hardware Equations microelectronics Laboratories design engineering systems engineering and theory Throughput Adders

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