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Exploring the biocomputing frontier

Exploring the biocomputing frontier

引用

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

作者： Ewing, R.L. Abdel-Aty-Zohdy, H.S. Schuermeyer, F. Liou, L. Moncrief, J.B. Rubeiz, M. Williamson, M. Air Force Research Laboratory Information Directorate Wright-Patterson AFB OH Microelectronics System Design Laboratory Department of Electrical and System Engineering Oakland University Rochester MI Wright State University Department of Electrical Engineering Dayton OH

ISBN: (纸本)0780391977

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. © 2005 IEEE.

关键词： Boolean algebra

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design and optimization on dynamic power system for self-powered integrated wireless sensing nodes

Design and optimization on dynamic power system for self-pow...

引用

2005 International Symposium on Low Power Electronics and design

作者： Ma, Dongsheng Wang, Janet M. Somasundaram, Mohankumar N. Hu, Zongqi Integrated System Design Laboratory Electrical and Computer Engineering Department University of Arizona Tucson AZ 85721 United States Digital VLSI Design Laboratory Electrical and Computer Engineering Department University of Arizona Tucson AZ 85721 United States

This paper presents an integrated power system for low-power wireless sensor networks with dynamic efficiency optimization technique. By adaptively resizing power transistors and adjusting switching frequency, system efficiency is enhanced significantly. Theoretical analysis is elaborated to support the proposed technique. A prototype integrated power system for self-powered photovoltaic wireless sensing node was designed and simulated with TSMC 0.35μm CMOS process. With a power range of 0.5μW to 10mW, power efficiency stays above 71%. Tolerance between theoretical and simulated optimal power transistor sizes is less than 6.7%, while that of optimal switching frequencies is less than 5%. The paper gives another solution to minimizing system power in the perspective of power processing. Copyright 2005 ACM.

关键词： Power electronics

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Plasticity recurrent spiking neural networks for olfactory pattern recognition

Plasticity recurrent spiking neural networks for olfactory p...

引用

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

作者： Allen, J.N. Abdel-Aty-Zohdy, H.S. Ewing, R.L. Microelectronics System Design Laboratory Department of Electrical and System Engineering Oakland University Rochester MI 48309 Air Force Research Laboratory Information Directorate Wright-Patterson AFB OH 45433

ISBN: (纸本)0780391977

This paper introduces a novel spiking neural network methodology, and applies it to an odorant learning and detection application. 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. Complete theory describes the spiking network's digital implementation. Theory is verified using simulation of a biologically plausible odor environment with 1023 odor receptor inputs. Stochastic on-chip learning uses sampling and a correlation filter to learn odors despite noisy environment conditions. Simulation and Verilog chip design are tested on a Field Programmable Gate Array. A scalable Field Programmable Gate Array implementation with 1024 inputs, 1 output, and expansion capability for unlimited outputs is synthesized into 87,062 gates. © 2005 IEEE.

关键词： Neural networks

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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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Plasticity recurrent spiking neural networks for olfactory pattern recognition

Plasticity recurrent spiking neural networks for olfactory p...

引用

Midwest Symposium on Circuits and systems (MWSCAS)

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

This paper introduces a novel spiking neural network methodology, and applies it to an odorant learning and detection application. 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. Complete theory describes the spiking network's digital implementation. Theory is verified using simulation of a biologically plausible odor environment with 1023 odor receptor inputs. Stochastic on-chip learning uses sampling and a correlation filter to learn odors despite noisy environment conditions. Simulation and Verilog chip design are tested on a field programmable gate array. A scalable field programmable gate array implementation with 1024 inputs, 1 output, and expansion capability for unlimited outputs is synthesized into 87,062 gates

关键词： Neural networks Recurrent neural networks Olfactory Pattern recognition Biological system modeling Field programmable gate arrays Timing Shape Stochastic processes Sampling methods

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Exploring the biocomputing frontier

Exploring the biocomputing frontier

引用

Midwest Symposium on Circuits and systems (MWSCAS)

作者： R.L. Ewing H.S. Abdel-Aty-Zohdy F. Schuermeyer L. Liou J.B. Moncrief M. Rubeiz M. Williamson Air Force Research Laboratory OH USA Microelectronics System Design Laboratory Department of Electrical and System Engineering Oakland University Rochester MI USA Department of Electrical Engineering Wright State University Dayton OH 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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Power-optimal simultaneous buffer insertion/sizing and uniform wire sizing for single long wires

Power-optimal simultaneous buffer insertion/sizing and unifo...

引用

IEEE International Symposium on Circuits and systems (ISCAS)

作者： Ruiming Li Dian Zhou Jin Liu Xuan Zeng Department of Electrical Engineering School of Engineering and Computer Sciences University of Texas Dallas Richardson TX USA ASIC & System State-key Laboratory Microelectronics Department Fudan University Shanghai China

ISBN: (纸本)0780388348

This paper studies the problems of minimizing power dissipation of an interconnect wire by simultaneously considering buffer insertion/sizing and wire sizing. We obtain optimal solutions for the problems of optimizing power dissipation for simultaneous buffer insertion/sizing and uniform wire sizing (BISUWS) under the delay constraints. These solutions can be used to estimate the power dissipation in the interconnect designs.

关键词： Wire Delay Power dissipation Capacitance Chromium MOS devices Circuits Threshold voltage Power engineering and energy Power engineering computing

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Dynamic impedance model of piezoelectrochemical transducer effect for a smart battery

Dynamic impedance model of piezoelectrochemical transducer e...

引用

Midwest Symposium on Circuits and systems (MWSCAS)

作者： P.S. Teli H.S. Abdel-Aty-Zohdy F. Line Vogel R.L. Ewing Microelectronics System Design Laboratory Department of Electrical and System Engineering Oakland University Rochester MI USA Graphi Tech Inc. Saint Clair Shores MI USA Information Directorate Air Force Research Laboratory OH USA

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 piezoelectrochemical transducer (PECT) effect based on the intercalation of graphite with sulfuric acid. It 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

关键词： Impedance Piezoelectric transducers Circuits Battery management systems Energy management Technology management Packaging Environmental management Temperature Voltage

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Long retention and low voltage operation using IrO/sub 2/HfAlO/HfSiO/HfalO gate stack for memory application

Long retention and low voltage operation using IrO/sub 2/HfA...

引用

International Electron Devices Meeting (IEDM)

作者： Y.Q. Wang P.K. Singh W.J. Yoo Y.C. Yeo G. Samudra A. Chin W.S. Hwang J.H. Chen S.J. Wang D.-L. Kwong Silicon Nano Device Laboratory Department of Electrical and Computer Engineering National University of Singapore Singapore Nano-Science Technology Center Department of Electro.Engineering National Chiao Tung University University System of Taiwan Hsinchu Taiwan Institute of Microelectronics Singapore University of Texas Austin USA

We demonstrate electrical properties of an advanced memory structure with high-k dielectric stack of HfAlO/HfSiO/HfXIO and p-type metal gate IrO 2 . Combining advantages of high-k HfAlO, good trapping capability of HfSiO, and high work function of the IrO 2 gate, we were able to attain much better retention with 10-year DeltaV th decay ratio within 18%, higher erasing speed with DeltaV th of 3V within 0.5ms at Vg equiv -12V, and lower operation voltage as well as lower reading voltage, compared to other contending device structures

关键词： Low voltage High-K gate dielectrics High K dielectric materials Annealing Hafnium oxide Tunneling Plasma properties Argon Sputtering Application software

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