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

作者： Neto, Didimo Garcia Abdel-Aty-Zohdy, Hoda S. Microelectronics System Design Laboratory Department of Electrical and Systems Engineering Oakland University Rochester United States

ISBN: (纸本)0780391977

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 multi-level logic as well as binary logic. CHARMm™ 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 (λ= 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 6 and bR state that may be spread to surrounding molecules. However, conformational interference will not produce photons necessary for the isomerization reaction. Further Quantum Molecular (QM) analysis should provide an extended model for this macromolecular energy study. © 2005 IEEE.

关键词： Storage allocation (computer)

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Analog multiplexing in time domain for biochemical measurement processing

Analog multiplexing in time domain for biochemical measureme...

引用

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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Verification system interface for VLSI combinational circuits

Verification system interface for VLSI combinational circuit...

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1998 Midwest Symposium on Circuits and systems, MWSCAS 1998

作者： El-Licy, Fatma A. Abdel-Aty-zohdy, Hoda S. Department of Electrical and Systems Engineering Microelectronics System Design Laboratory Oakland University RochesterMI48309-4401 United States

ISBN: (纸本)0818689145

A proof of correctness of a given VLSIC system design is established by proving the consistency and implication of the implemented design with respect to the specified design. The set of conditions that establish such consistency is termed verification conditions (VCs). This paper presents an automatic interface system for the verification of VLSI combinational circuits in which VCs are synthesized from circuit definition. This interface will allow a top down specification of the design (written in a given HDL language) to be parsed into binary tree structure representation. Also, a logical construct is built up from the physical layout specifications of the implemented design (extracted as SPICE file). The top down parse tree along with bottom up logic constructs form the basic building block structure of the front end of the interface system. VCs are then synthesized from the outcomes of the front end through a preprocessor. The back end of the interface system constitutes the preprocessor and a set of designators and modules for manipulating mathematical and logical operations. It provides an environment in which a theorem prover can be used to create a formal proof schema for the VCs which satisfy partial correctness of the circuit under consideration. © 1999 IEEE.

关键词： Specifications

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Intelligent information processing using neural networks and genetic algorithms

Intelligent information processing using neural networks and...

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43rd Midwest Circuits and systems Conference (MWSCAS-2000)

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

Intelligent Information Processing (IIP) or the smart processing of signals in communication systems and data measurements from multi-sensor systems are needed for advanced micro autonomous applications. A balanced combination of efficient algorithms, fast networks, and collaboration of the different technologies are required for smaller, faster, and more efficient system-on-a-chip applications. In this paper we present guidelines/approach for intelligent information processing using Neural Networks (NNs) and Genetic Algorithms (GAs) which are capable of learning through discovery and/or reinforcement with features optimization through chromosome mutations of GAs. Specific details about a special application for Electronic-Nose (EN) implementation to discriminate among four chemicals, using reinforcement NN implemented tiny-chip and a GA system implementation is presented with test results.

关键词： Intelligent agents

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Optimal-weights sensors-measurement fusion using genetic algorithms

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

引用

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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An operational transconductance amplifier in 0.18um SOI

An operational transconductance amplifier in 0.18um SOI

引用

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

作者： O'Rourke, Daniel M. Abdel-Aty-Zohdy, Hoda S. Microelectronic System Design Lab Department of Electrical and Systems Engineering Oakland University Rochester MI 48309-4401

ISBN: (纸本)0780391977

An operational transconductance amplifier (OTA) using three cascaded comparator stages is presented in 180nm Fully Depleted Silicon On Insulator (FDSOI) technology processed at MIT Lincoln laboratory. Each comparator stage used 14 transistors with close to minimum aspect ratios. The OTA is self-biasing without the need for external bias circuitry, and provides a rail to rail input common mode range. The use of deep submicron and FDSOI technology provides for an open loop gain of 64.5dB, unity gain bandwidth product of 2.27 GHz using an actual area of only 860 umλ2. © 2005 IEEE.

关键词： Amplifiers (electronic)

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design and application of an enhanced GA 57

Design and application of an enhanced GA

引用

2014 IEEE 57th International Midwest Symposium on Circuits and systems, MWSCAS 2014

作者： Elgothamy, Hatem Zohdy, Mohamed A. Abdel-Aty-Zohdy, Hoda S. Microelectronics and Bio-Inspired Systems Design Lab Department of Electrical and Computer Engineering Oakland University RochesterMI United States

ISBN: (纸本)9781479941346

This paper introduces an enhanced Genetic Algorithm GA that is faster and more efficient than the standard one. A simple 3D convex surface is optimized using different methods, Brute-Force, standard GA, and the enhanced GA. The enhanced GA is able to find the global minima within a certain range by using the least possible number of calculations, which, means less processing time and is robust to parameter selections. Special software was developed using Java for this purpose;also, MS-Excel was used to represent the data map as charts. © 2014 IEEE.

关键词： Genetic algorithms

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Improved supervision of NN's AOA determination with limited 1-D phased-array training data

Improved supervision of NN's AOA determination with limited ...

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2011 IEEE National Aerospace and Electronics Conference, NAECON 2011

作者： Van Sickle, Kevin Abdel-Aty-Zohdy, Hoda S. Microelectronics and Bio-Inspired Systems Design Lab. Department of Electrical and Computer Engineering Oakland University Rochester MI United States

ISBN: (纸本)9781457710407

A sixteen-channel linear phased array radar is calibrated by means of Artificial Neural Network (ANN). Limited data are used to train the various layers of the network, for Angle of Arrival (AOA) determinacy. This is designed to increase speed of operation and to prevent over fitting. The designed simulator generates time-series data sets representing continuous span of AOA. The generated datasets are used in multilayer feedforward NNs to find the phase, which is then used as inputs to Spiking Neural Network (SNN) o determine AOA. SNNs are used for hardware implementation feasibility. The designed simulator improved the accuracy of AOA determination, and opens the door for a wide variety of radar classification applications © 2011 IEEE.

关键词： Neural networks

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Dimensions in the Bat algorithm with adaptive position update (APU-BA) for short Fiber Bragg grating optimal design

Dimensions in the Bat algorithm with adaptive position updat...

引用

2016 IEEE National Aerospace and Electronics Conference and Ohio Innovation Summit, NAECON-OIS 2016

作者： Al-Muraeb, Ahmed Abdel-Aty-Zohdy, Hoda Microelectronics and Bio-Inspired Systems Design Lab Department of Electrical and Computer Engineering Oakland University RochesterMI48309-4401 United States

ISBN: (纸本)9781509034413

Based on our work [1] we present a study for dimensions (number of FBG sections) in our novel APU-BA. C-band single-wavelength, and eye-safe dual-wavelength Triangular Spectrum Fiber Bragg Gratings (TS-FBG) of chosen lengths are considered. Setting the dimensions in APU-BA (and any swarm-based optimization algorithm) is critical. Optimum number of dimensions is reported. © 2016 IEEE.

关键词： Refractive index

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Artificial neural network electronic nose for volatile organic compounds

Artificial neural network electronic nose for volatile organ...

引用

Great Lakes Symposium on VLSI

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

Advanced microsystems that include, sensors, interface-circuits, and pattern-recognition integrated monolithically or in a hybrid module are needed for civilian, military, and space applications. These include: automotive, medical applications, environmental engineering, and manufacturing automation. ASICs with Artificial Neural Networks (ANN) are considered in this paper, with the objective of recognizing air-borne volatile organic compounds, especially alcohols, ethers, esters, halocarbons, NH/sub 3/, NO/sub 2/, and other warfare agent simulants. The ASIC inputs are connected to the outputs from array-distributed sensors which measure three-features for identifying each of four chemicals. A Specialized Reinforcement Neural Network (RNN) learning approach is chosen for the chemicals classification problem. Hardware implementation of the RNN is presented for 2 /spl mu/m CMOS process, MOSIS chip. design implementation and evaluation are also presented.

关键词： Artificial neural networks Electronic noses Sensor arrays Automotive engineering Chemical sensors Recurrent neural networks Medical services Biomedical equipment Biomedical engineering Manufacturing automation

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