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Biomedical Sciences Instrumentation 2011年 47卷 124-128页

作者： Best, Jade E. Bostick, Nehemiah F. Connelly, John R. Dunn, Michael G. Gelles, Richard A. Norvell, Elizabeth K. Waugaman, William B. Mims, Capt Willie H. Departments of: Electrical and Computer Engineering Mechanical Engineering Systems Engineering Management U. S. Air Force Academy CO 80840 United States

A large number of American troops fighting in Afghanistan and Iraq have received wounds in their upper extremities leading to significant nerve damage and loss of strength. These injuries impair their ability to perform day-to-day tasks such as lifting a cup of coffee or opening a door. Although the cause of some injuries in service-people is often unique to their employment, civilian employees in other industries are also plagued with similar physical damage due to other kinds of injuries. Our goal is to develop a device to augment the strength of injured troops and civilian workers so they can perform everyday tasks despite their physical limitations. The ExoGrip is a glove designed to provide this necessary strength augmentation. The ExoGrip consists primarily of pressure sensors, linear actuators, and a microcontroller to provide a force multiplier based on a person's strength. The goal of the first phase of the project was to conduct research and also produce a working prototype of one finger. This goal was achieved by a group of classmates who started the project a year before. Their research and feasibility analysis ended in the mechanical movement of a single finger when the sensors were activated. The next phase of this project is to design and integrate a working prototype that manipulates all four fingers, while keeping the thumb in a fixed position. This paper describes the integration of new microcontrollers, linear actuators utilizing pulse width modulation technology, and improved pressure sensors needed to manipulate the fingers, as well as laying the foundation for future testing and development of a final product. © 2011 ISA.

关键词： Pressure sensors

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Inter-cell transmit power adaptation algorithm for coexistence of white space applications

Inter-cell transmit power adaptation algorithm for coexisten...

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2011 IEEE Consumer Communications and Networking Conference, CCNC'2011

作者： Yoon, Seungil Park, Jongmin Lim, Kyutae Kim, Jongman Georgia Electronic Design Center School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 United States Qualcomm Inc. San Diego CA 92121 United States KORUS Research Center for Informersive Systems School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 United States

ISBN: (纸本)9781424487905

White space, the unused local TV channels, are ready to be used for unlicensed wireless devices. Due to its propagation characteristics, availability of white space channels can be limited in a densely populated area. This paper presents an inter-cell transmit power adaptation (ITPA) algorithm that enhances the decision procedure of a negotiation-based transmit power control (TPC) in the selection of a shareable channel and the decision of the new transmit power level of neighboring white space applications (WSAs) on the shareable channel. For the evaluation of the algorithm, we conduct theoretical analysis and simulation and prove that the ITPA algorithm can assist the newly-joining WSAs to find shareable channels with neighboring WSAs for the negotiation-based TPC. We expect that the enhancement in channel assignment contributes to an increase in the accommodation of newly-joining WSAs although all channels are occupied. © 2011 IEEE.

关键词： Space applications

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Spatial-and-temporal-weighted structure from motion

Spatial-and-temporal-weighted structure from motion

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Canadian Conference on computer and Robot Vision

作者： Wang, Guanghui Zelek, John S. Wu, Q.M. Jonathan Department of Systems Design Engineering University of Waterloo Waterloo ON N2L 3G1 Canada Department of Electrical and Computer Engineering University of Windsor Windsor ON N9B 3P4 Canada

ISBN: (纸本)9780769543628

The paper focuses on the problem of structure from motion and proposes a spatial-and-temporal-weighted factorization algorithm. The contributions of the paper are as follows: First, it is demonstrated that the image reprojection error is generally in proportion to the error magnitude contained in the image. Second, the error distribution contained in the measurement matrix is modelled spatially and temporally from the image reprojection residuals. Third, based on the estimated error distribution, a spatial-and-temporal-weighted factorization algorithm is proposed to handle the uncertainty caused by significant image noises. Compared with existing approaches, the proposed technique does not require a prior information of image measurement, and it is easy to implement. Extensive experiments on synthetic data and real images are performed to validate the proposed method. © 2011 IEEE.

关键词： Factorization

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designing Robust Asynchronous Circuits Based on FinFET Technology

Designing Robust Asynchronous Circuits Based on FinFET Techn...

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Euromicro Symposium on Digital System design

作者： Fataneh Jafari Mahdi Mosaffa Siamak Mohammadi Dependable Systems Design Laboratory School of Electrical and Computer Engineering University of Tehran Iran

Double-gate FinFETs have proved to be a promising alternative for deep sub-micron bulk CMOS. In this paper, we have investigated the feasibility of FinFET transistors in asynchronous design which has gained much attention for its advantages such as absence of clock distribution, process variation aware performance, and robustness. Excellent short-channel characteristic, low leakage power, threshold voltage control and the potential of designing area-efficient circuits are the motivation to employ FinFET transistor in asynchronous circuit design. We have designed three novel FinFET-based asynchronous static C-elements which differ in front gate and back gate connections. They are evaluated in terms of leakage and dynamic power, area, and delay characteristics and compared against bulk CMOS C-element in 32nm technology. With technology scaling, vulnerability of combinational logic to soft errors exponentially increases. In this paper we also examine these C-elements nodes sensitivity against soft errors and propose a robust logic. We show that our proposed robustness method increases robustness of the most sensitive node in Shorted gate (SG) and Low power (LP) C-elements 60 times. A dual rail Muller pipeline has been designed with each kind to evaluate our C-elements and compare them to bulk MOSFET pipeline. Compared to SG, simulation results show that Independent gate (IG) and LP modes are most efficient in area and leakage power respectively and in terms of robustness SG and LP modes show better robustness than IG mode.

关键词： Digital systems

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Flexible Organic Electronics for Use in Neural Sensing

Flexible Organic Electronics for Use in Neural Sensing

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Hank Bink Yuming Lai Sangameshwar R. Saudari Brian Helfer Jonathan Viventi Jan Van der Spiegel Brian Litt Cherie Kagan Bioengineering Department University of Pennsylvania Electrical and Systems Engineering Department University of Pennsylvania Materials Science and Engineering Department University of Pennsylvania Electrical and Computer Engineering Department University of Connecticut Departments of Bioengineering and Neurology University of Pennsylvania Departments of Electrical and Systems Engineering Materials Science and Engineering and Chemistry University of Pennsylvania

ISBN: (纸本)9781424441211

Recent research in brain-machine interfaces and devices to treat neurological disease indicate that important network activity exists at temporal and spatial scales beyond the resolution of existing implantable devices. High density, active electrode arrays hold great promise in enabling high-resolution interface with the brain to access and influence this network activity. Integrating flexible electronic devices directly at the neural interface can enable thousands of multiplexed electrodes to be connected using many fewer wires. Active electrode arrays have been demonstrated using flexible, inorganic silicon transistors. However, these approaches may be limited in their ability to be cost-effectively scaled to large array sizes (8×8 cm). Here we show amplifiers built using flexible organic transistors with sufficient performance for neural signal recording. We also demonstrate a pathway for a fully integrated, amplified and multiplexed electrode array built from these devices.

关键词： Electrodes Pentacene Thin film transistors Performance evaluation Educational institutions

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Robust control synthesis of bilinear systems with nonlinear weights by Sum of Squares optimization

Robust control synthesis of bilinear systems with nonlinear ...

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15th International Conference on System Theory, Control and Computing, ICSTCC 2011

作者： Nobuyama, Eitaku Aoyagi, Takahiko Kami, Yasushi Department of Systems Design and Informatics Kyushu Institute of Technology Iizuka-city Fukuoka 820-8502 Japan Department of Electrical and Computer Engineering Akashi National Collage of Technology Akashi-city Hyogo 674-8501 Japan

ISBN: (纸本)9781457711732

Robust control problems for nonlinear systems are usually formulated as L2-induced norm minimization problems and it is known that those problems are reduced to the solvability of Hamilton-Jacobi equations. However, in the case of bilinear systems the usual L2-induced norm minimization problem leads to an obvious solution (the zero input). To avoid the obvious solution Simizu et al. (1997) introduced nonlinear weights on the evaluated signal and proposed a design method using linearization of the state-dependent matrix Riccati inequality derived from the Hamilton-Jacobi equation. In contrast to this, the purpose of the present paper is to propose a new design method using SOS (Sum-of-Squares) optimization technique without linearization. © 2011 Faculty of Auto Control.

关键词： Linearization

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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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IEEE National Aerospace and Electronics Conference

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

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 data-sets are used in multilayer feed-forward 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.

关键词： Simulation SNN AOA Phased Array Training-Based Limited Data Set Classification ANGLE OF ATTACK SNN gene phased array simulating hierarchical network Continuous spans

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A small-gain methodology for networks of iISS retarded systems based on Lyapunov-Krasovskii functionals

A small-gain methodology for networks of iISS retarded syste...

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作者： Ito, Hiroshi Jiang, Zhong-Ping Pepe, Pierdomenico Department of Systems Design and Informatics Kyushu Institute of Technology Iizuka Fukuoka 820-8502 Japan Department of Electrical and Computer Engineering Polytechnic Institute of New York University Brooklyn NY 11201 United States Department of Electrical and Information Engineering University of l'Aquila 67040 Poggio di Roio L'Aquila Italy

ISBN: (纸本)9783902661937

A problem of assessing stability of retarded dynamical networks is solved in this paper. Subsystems are assumed to be integral input-to-state stable (iISS). Time-delays are allowed to reside in both subsystems and interconnection channels, and may be both discrete and distributed. No assumption is made on the interconnection topology. This paper develops a small-gain methodology for constructing a Lyapunov-Krasovskii functional of such a network. © 2011 IFAC.

关键词： Time delay

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Spiking Neural Networks' Model with Spike Frequency Adaptation for E-nose

Spiking Neural Networks' Model with Spike Frequency Adaptati...

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IEEE National Aerospace and Electronics Conference

作者： Shirin Badiei Hoda Abdel-Aty-Zohdy Microelectronics & Bio-Inspired Systems Design Lab Dept. of Electrical and Computer Engineering Oakland University

ISBN: (纸本)9781457710407

We create a spiking neural network of Integrate and Fire neurons with spike frequency adaption based on parameters adjusted for our e-nose device, and investigate the use of this model for odor classification. Addition of spike frequency adaptation term brings the model closer to the response of the olfactory system. Data from Cyranose 320, a polymer based 32-sensor array, is used to test the system and create unique dynamic spiking patterns. The results for four analytes are presented.

关键词： Spiking neural networks E-nose

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A small-gain theorem and construction of sum-type Lyapunov functions for networks of iISS systems

A small-gain theorem and construction of sum-type Lyapunov f...

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作者： Ito, Hiroshi Jiang, Zhong-Ping Dashkovskiy, Sergey N. Ruffer, Björn S. Department of Systems Design and Informatics Kyushu Institute of Technology 680-4 Kawazu Iizuka 820-8502 Japan Department of Electrical and Computer Engineering Polytechnic Institute of New York University Six Metrotech Center Brooklyn NY 11201 United States Department of Mathematics and Computer Science University of Bremen Germany Department of Electrical Engineering and I.T. University of Paderborn 33098 Paderborn Germany

ISBN: (纸本)9781457700804

This paper gives a solution to the problem of verifying stability of networks consisting of integral input-to-state stable (iISS) subsystems. The iISS small-gain theorem developed recently has been restricted to interconnection of two subsystems. For large-scale systems, stability criteria relying only on gain-type information have been successful only in dealing with input-to-state stable stable (ISS) subsystems. To address the stability problem involving iISS subsystems interconnected in general structure, this paper shows how to construct Lyapunov functions of the network by means of nonlinear sum of individual Lyapunov functions of subsystems given in a dissipation formulation under an appropriate small-gain condition. © 2011 AACC American Automatic Control Council.

关键词： Lyapunov functions

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