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检索条件"机构=Microelectronics System Design Lab Department of Electrical and Systems Engineering"

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Energy diffusion model of bR for voxel identification

Energy diffusion model of bR for voxel identification

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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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Bio-inspired integrated circuits for signal perception and processing

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

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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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Exploring the biocomputing frontier

Exploring the biocomputing frontier

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： R.L. Ewing H.S. Abdel-Aty-Zohdy L. Liou J.B. Moncrief Information Directorate US Air Force Research Laboratory OH USA Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester MI USA

Stop thinking that the universe is best described by Boolean order operations, consider the world of biocomputing. The idea in exploring the multidimensional characteristics of biocomputing systems involves multilevel protein logic interaction with hybrid digital systems (bio/digital/analog systems). In the protein biocomputing world, all models are multilevel and nonlinear exponential in nature. These biocomputing systems are linearized by boundary limited frequency, time response and dimensional ranges. The protein model and its correct development is probably the most difficult aspect for biocomputing issues. Previous protein models were not dealing with 2 and 3 dimensional models, while the current protein models are now faced with high frequency design, due to the emergence of bio-nanodevices. These future biocomputing devices will be chemical sensors, fluidic computer systems, optical switches, nanoactuators, self-repairing polymorphic computing systems, cognitive processors and biorobotics

关键词： Frequency Optical computing Multidimensional systems Logic Digital systems Time factors Protein engineering Chemical sensors Optical switches Nanoscale devices

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Application of novel hierarchical approach to formal verification of digital ICs

Application of novel hierarchical approach to formal verific...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： F.A. El-Licy H.S. Abdel-Aty-Zohdy Department of Information and Computer Science Institute of Statistical Studies and Research Cairo University Egypt Microelectronics System Design Laboratory Electrical and Systems Engineering Oakland University MI USA

A hierarchical approach for the abstraction of digital VLSICs is presented. Circuit layout is hierarchically abstracted into logical constructs of binary tree structures, which may be manipulated to extract circuit functionality for the purpose of verifying design correctness. VLSIC design specification in the form of HDL is hierarchically decomposed to generate logical formulae for the given specification. By comparing the above, a verification report is obtained

关键词： Formal verification Logic design Binary trees Hardware design languages Production Very large scale integration electrical capacitance tomography Combinational circuits Data structures Boolean functions

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Paradigm of design for biosystem-on-a-chip(BioSoC)

Paradigm of design for biosystem-on-a-chip(BioSoC)

引用

IEEE International Conference on Microelectronic systems Education

作者： R.L. Ewing H.S. Abdel-Aty-Zohdy Information Directorate Air Force Research Laboratory Air Force Institute of Technology Department of Electrical and Computer Engineering Wright Patterson Air Force Base OH USA Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester MI USA

The paradigm of design for biosystem-on-a-chip (BioSoC), is that multidisciplinary skills are required. Thus, the educational goals are to develop an understanding of micro/macro collaboration along with the ability to apply and use multidisciplinary skills for the design and performance evaluation of a "biosystem on a chip". The need for the architectural design of the BioSoC addresses the next-generation of intelligent information processing systems.

关键词： Intelligent sensors Collaboration design engineering Biology computing Chemical and biological sensors Biosensors Artificial intelligence microelectronics Circuits Chemical sensors

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Analog multiplexing in time domain for biochemical measurement processing

Analog multiplexing in time domain for biochemical measureme...

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2002 45th Midwest Symposium on Circuits and systems

作者： Patel, Apurva Terry, Tara Abdel-Aty-Zohdy, H.S. Microelectronics System Design Lab Oakland University Electrical Engineering Department Rochester MI 48309 United States

Digital Multiplexers and Analog multiplexers, through the use of filters and their applications implemented in frequency domain, which requires extensive hardware and is costly have seen substantial amount of research compared to an analog multiplexer in time domain. This Paper Presents design, Simulation, Implementation and Evaluation of a four-to-one analog multiplexer. The analog multiplexer is implemented with the help of four buffers and four transmission gates using 0.35 μm CMOS Technology with optimum linear ranges that covers 60% of total input supply voltage. The analog multiplexer is developed for a biochemical preprocessing unit to multiplex time-varying analog input signals coming from real-time sensor arrays and to connect the selected input to one A/D converter for digital implementation of a bio-inspired intelligent signal detection system or to an analog implemented biochemical detection system.

关键词： Multiplexing equipment

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

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

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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 multiplexing in time domain for biochemical measurement processing

Analog multiplexing in time domain for biochemical measureme...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： A. Patel T. Terry H.S. Abdel-Aty-Zohdy Microelectronics System Design Laboratory (MSDL) Electrical and Systems Engineering Department Oakland University Rochester MI USA

Digital Multiplexers and Analog multiplexers, through the use of filters and their applications implemented in frequency domain, which requires extensive hardware and is costly have seen substantial amount of research compared to an analog multiplexer in time domain. This Paper Presents design, Simulation, Implementation and Evaluation of a four-to-one analog multiplexer. The analog multiplexer is implemented with the help of four buffers and four transmission gates using 0.35 /spl mu/m CMOS Technology with optimum linear ranges that covers 60% of total input supply voltage. The analog multiplexer is developed for a biochemical preprocessing unit to multiplex time-varying analog input signals coming from real-time sensor arrays and to connect the selected input to one A/D converter for digital implementation of a bio-inspired intelligent signal detection system or to an analog implemented biochemical detection system.

关键词： Time measurement Multiplexing Sensor arrays CMOS technology Intelligent sensors Digital filters Frequency domain analysis Hardware Voltage Data preprocessing

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New genetic algorithm approach for dynamic biochemical sensor measurements characterization

New genetic algorithm approach for dynamic biochemical senso...

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： D. Gantla H.S. Abdel-Aty-Zohdy R.L. Ewing Microelectronics System Design Laboratory Department of Electrical & Systems Engineering Oakland University Rochester MI USA Wright Patterson Air Force Base OH USA

In an olfaction system (E-Nose) hardware implementation, outputs from the GA approach are used as inputs to an intelligent neural network system for biochemical detection and decision-making. In this paper we present a Genetic Algorithm for measurement characterization with dynamic inputs. Input measurements are from a given range and are assumed in parallel from chemical-sensor array. An input multiplexer/controller/Analog-Digital converter preprocessing stage is used to control these input measurements. The new dynamical approach presents measurement characterization and also optimum fused measurements without loosing the integrity of incoming signals. Through a novel mutation and crossover approach (Half Sibling and A Clone) optimum characteristic weight chromosomes are achieved. HSAC represents both crossover and mutation. A key feature of the new approach is that no pre-assigned minimum error is specified, rather error is dynamically evaluated based on measurements. Simulation results of the new GA with dynamic measurements are compared with one of the approaches from GAlib (A library of genetic Algorithm approaches from MIT) and proved the new approach has minimum error and a early convergence. MATlab has been used as the simulation tool.

关键词： Genetic algorithms Biosensors Genetic mutations Neural network hardware Intelligent systems Intelligent networks Intelligent sensors Neural networks Decision making Chemicals

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Optimal-weights sensors-measurement fusion using genetic algorithms

Optimal-weights sensors-measurement fusion using genetic alg...

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2001 Midwest Symposium on Circuits and systems (MWSCAS 2001)

作者： Sharawi, Mohammad S. Abdel-Aty-Zohdy, Hoda S. Ewing, Robert L. Microelectronics System Design Lab. Electrical and Systems Engineering Oakland University Rochester MI 48309 United States

Although there are many simulated Genetic Algorithms (GAs) in applications, less research has been directed toward their practical hardware implementations. In this paper we present a GA for optimum sensors-measurement fusion and characteristics weights. A multilevel verification of the GA is performed via the Mentor Graphics design Architect (DA) and ModelSim CAD tools. In particular the design of efficient universal multipliers, dividers, and their integrated circuits is addressed. Effective mutation and crossover apprache has been implemented in the GA system operation. It requires 960 clock cycles for complete iteration of 64 chromosomes, each with 3 genes of two binary-bits. This requires only 12 μsec when implemented in the 0.25 μm CMOS technology. The GA system is developed for a preprocessing unit to select optimal weights from real-time sensors measurement, and for fused measurements as in electronic nose, integrated accelerometer systems, and for performance enhancement of recurrent dynamic neural networks in noisy environments. The proposed approach, simulation results, and possible experimental results will be presented.

关键词： Genetic algorithms

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