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Midwest Symposium on Circuits and systems (MWSCAS)

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

Bioinspired evolvable techniques significantly increase the functionality of autonomous low-power detection systems by enabling them to learn, adapt and self-reconfigure through use of programmable BioFET devices. Electronic artificial noses or sniffers as bioinspired devices are under development that produces holograms stored within three-dimensional protein memory structures enabling automated real-time detection and classification of odors, vapors and contamination within gases.

关键词： Electronic noses Laboratories Protein engineering Chemical technology Sensor arrays Neural networks Leak detection Gases computerized monitoring FETs

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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...

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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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A Reinforcement Learning Framework for Medical Image Segmentation

A Reinforcement Learning Framework for Medical Image Segment...

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International Joint Conference on Neural Networks (IJCNN)

作者： F. Sahba H.R. Tizhoosh M.M.A. Salama Pattern Analysis and Machine Intelligence Laboratory Department of System Design Engineering University of Waterloo Waterloo ONT Canada Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada

This paper introduces a new method to medical image segmentation using a reinforcement learning scheme. We use this novel idea as an effective way to optimally find the appropriate local thresholding and structuring element values and segment the prostate in ultrasound images. Reinforcement learning agent uses an ultrasound image and its manually segmented version and takes some actions (i.e., different thresholding and structuring element values) to change the environment (the quality of segmented image). The agent is provided with a scalar reinforcement signal determined objectively. The agent uses these objective reward/punishment to explore/exploit the solution space. The values obtained using this way can be used as valuable knowledge to fill a Q-matrix. The reinforcement learning agent can use this knowledge for similar ultrasound images as well. The results demonstrate high potential for applying reinforcement learning in the field of medical image segmentation.

关键词： Learning Biomedical imaging Image segmentation Ultrasonic imaging Medical diagnostic imaging Pattern analysis Machine intelligence Laboratories system analysis and design design engineering

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An artificial immune system strategy for robust chemical spectra classification via distributed heterogeneous sensors

An artificial immune system strategy for robust chemical spe...

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Congress on Evolutionary Computation

作者： M.A. Esslinger G.B. Lamont H.S. Abdel-Aty-Zohdy R.L. Ewing Department of Electrical and Computer Engineering Air Force Institute of Technology Dayton OH USA Microelectronics System Design Laboratory Oakland University Rochester MI Information Directorate Wright-Patterson AFB Air Force Research Laboratory Dayton Ohio USA

The timely detection and classification of biological agents in a hostile environment is critical for increasing protection in critical areas. This paper proposes a strategy for identifying biological agents via distributed sensors with an artificial immune system (AIS). The proposed system is composed of networked sensors and nodes, communicating via wireless or wired connections. Measurements are continually taken via dispersed redundant sensors strategically placed in threat areas. These sensors continually measure and categorize air or liquid samples, alerting surrounding nodes when possible biological agents are detected. Detection is based upon the biological immune system (BIS) model of antigens and antibodies, and alerts are generated when a measured sample is determined to be a valid biological agent (antigen). Biological agent signatures (antibodies) are continually distributed throughout the system to adapt to changes in the environment or to new antigens.

关键词： Chemical sensors Artificial immune systems Robustness Sensor systems Biosensors Chemical and biological sensors Wireless sensor networks Protection Wireless communication Area measurement

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Impact of the quality of spatial 3D city models on sensor networks placement optimization

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Geomatica 2012年第4期66卷 291-305页

作者： Argany, Meysam Mostafavi, Mir Abolfazl Akbarzadeh, Vahab Gagné, Christian Yaagoubi, Reda Centre for Research in Geomatics Department of Geomatics Université Laval QC Canada Computer Vision and System Laboratory Department of Electrical Engineering and Computer Engineering Université Laval QC Canada Department of Geomatics Faculty of Environmental Design King Abdulaziz University Jeddah Saudi Arabia

Sensor networks are increasingly used for tracking, monitoring, and observing spatial dynamic phenomena in the real world (e.g. urban area). In order to ensure an efficient deployment of a sensor network, several optimization algorithms have been proposed in recent years. Most of these algorithms often rely on oversimplified sensor models. In addition, they do not consider information on the terrain topography, city models, and the presence of diverse obstacles in the sensing area (e.g. buildings, trees, poles). Only some of those optimization algorithms attempt to consider the terrain information in the optimization of a sensor network deployment. However, most of these algorithms consider that the spatial models used for this purpose are perfect representations of the reality and are not sensitive to the quality of the information. However, spatial models are simplified representations of a complex reality, and hence are inherently uncertain. In this paper we will investigate the impact of the spatial data quality on the optimization of a sensor network and its spatial coverage in an urban area. For this purpose, we will investigate specific implications of spatial data quality criteria for a 3D city model that will be used in sensor network optimization algorithms. Then, we will analyze the impact of some of those criteria on the estimation of sensor network coverage.!Afterwards, a case study for sensor network deployment in an urban area will be presented. This case study will demonstrate the impact of 3D city models quality on the estimation of coverage using global and local optimization algorithms. Finally, the results obtained from this experimentation will be presented and discussed.

关键词： Sensor networks

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An efficient hybrid scheduling scheme for impatience user in eMBMS over LTE

An efficient hybrid scheduling scheme for impatience user in...

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International Conference on computer Communication and Informatics (ICCCI)

作者： Rochak Sachan Navrati Saxena Abhishek Roy Department of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea System Design Laboratory Telecom Systems Division Samsung Electronics Suwon South Korea

ISBN: (纸本)9781467329064

The 3 rd Generation Partnership Project - Long Term Evolution (3GPP-LTE) is the best choice for multimedia data transmission in demanding situation. The 3GPP LTE provides high data transmission rate between the User Equipment (UE) and Evolved Node B (eNB) with lower latency and better throughput. However, with the advancement and increasing traffic of data load, it is necessary to have data scheduling with user requests. In real life situations, mobile users become impatient when they don't receive their desired data. Moreover, the LTE Enhanced Multimedia Broadcast Multicast Services (eMBMS) does not provide any type of scheduling to measure and manage the impatient user request in multimedia broadcasting scenario. So, we consider this situation in our proposed scheme and simulated a new type of hybrid scheduling scheme to overcome this problem. It also takes care of the server anomalies arising from multiple requests sent by the same user for the same data.

关键词： Optimal scheduling Multimedia communication Quality of service Data communication computers Servers Informatics

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Dynamic impedance model of piezoelectrochemical transducer effect for a smart battery

Dynamic impedance model of piezoelectrochemical transducer e...

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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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Fast optical proximity correction based on graph convolution network 34

Fast optical proximity correction based on graph convolution...

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Optical Microlithography XXXIV 2021

作者： Zhang, Shengen Ma, Xu Zhang, Junbi Chen, Rui Pan, Yihua Yu, Chengzhen Dong, Lisong Wei, Yayi Arce, Gonzalo R. Key Laboratory of Photoelectronic Imaging Technology and System Ministry of Education of China School of Optics and Photonics Beijing Institute of Technology Beijing100081 China Integrated Circuit Advanced Process Center Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China Department of Electrical and Computer Engineering University of Delaware NewarkDE19716 United States

ISBN: (数字)9781510640603

ISBN: (纸本)9781510640597

Optical proximity correction (OPC) is regarded as one of the most important computational lithography approaches to improve the imaging performance of sub-wavelength lithography process. Traditional OPC methods are computationally intensive to pre-warp the mask pattern based on inverse optimization models. This paper develops a new kind of pixelated OPC method based on an emerging machine learning technique namely graph convolutional network (GCN) to improve the computational efficiency. In the proposed method, the target layout is raster-scanned into pixelated image, and the GCN is used to predict its corresponding OPC solution pixel by pixel. For each layout pixel, we first sub-sample its surrounding geometrical features using an incremental concentric circle sampling method. Then, these sampling points are converted into graph signals. Then, the GCN model is established to process the pre-defined graph signals and predict the central pixel within the sampling region on the OPC pattern. After that, the GCN is moved to predict the OPC solution of the next layout pixel. The proposed OPC method is validated and discussed based on a set of simulations, and is compared with traditional OPC methods. © 2021 SPIE.

关键词： Pixels

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Dynamic PECT Effect for Nanotransducers and Hybrid Devices

Dynamic PECT Effect for Nanotransducers and Hybrid Devices

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Midwest Symposium on Circuits and systems (MWSCAS)

作者： F. Lincoln Vogel Hoda S. Abdel-Aty-Zohdy Robert L. Ewing GraphiTech Inc. St. Clair Shores MI 48080-1567 Microelectronics System Design Laboratory Electrical and Computer Engineering Oakland University Rochester MI USA Information Directorate Air Force Research Laboratory OH USA

Recent advances in nanotechnology have opened the door to the use of hybrid devices in integrated system-on-a-chip. The Piezo Electrochemical Transducer (PECT) effect device uses nano-dimensioned graphite fibers, where the PECT effect can be effectively used to control current and voltage levels. The PECT effect, discovered (in early 1980's) and named by co-author F. L. Vogel, uses graphite fiber intercalated with sulfuric acid (H2SO4) to shrink parallel to the graphite planes (basal plane), whereas the reverse PECT effect causes the graphite fiber to expand. The reverse PECT effect appears by reversing the direction of the electrolysis current. This paper explores the physical properties of PECT and its applications to developing novel solid-state hybrid devices, including new kinds of transducers and transistors based on graphite that will have a significant impact on future bio-inspired integrated circuits and nano-technology.

关键词： Nanoscale devices Optical fiber devices Transducers Nanotechnology system-on-a-chip Voltage control Electrochemical processes Solid state circuits Application specific integrated circuits Hybrid integrated circuits

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Positive bias temperature instability degradation of InGaAs n-MOSFETs with Al2O3 gate dielectric

Positive bias temperature instability degradation of InGaAs ...

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International Electron Devices Meeting (IEDM)

作者： G. F. Jiao W. Cao Y. Xuan D. M. Huang P. D. Ye M. F. Li State Key Laboratory ASIC & System Department Microelectronics Fudan University Shanghai China School of Electrical and Computer Engineering and Birck Nanotechnology Center Purdue University West Lafayette IN USA

CP measurements show that PBTI stress induced interface trap area density ΔN it in InGaAs/Al 2 O 3 n-MOSFET is very small and has power law time evolution At 0.22 in the stress phase, and is partially recovered in the recovery phase. However the DC I s -V g measurements show large degradations of negative ΔV g and sub-threshold swing S in the sub-threshold region and are recovered in the recovery phase, also show degradation of positive ΔV g in the on-current region and continuing degradation in the recovery phase until reaching a stable state. The I s -V g degradation is mainly contributed by generation of near interface slow oxide traps under stress with recoverable donor trap energy density ΔD SOX DONOR in the InGaAs energy gap with a tail extended to the conduction band energy, and permanent acceptor trap energy density ΔD SOX ACCEPTOR in the conduction band energy with a tail extended to the energy gap. This trap model explains all experimental details perfectly.

关键词： Stress Degradation Stress measurement MOSFET circuits Electron traps Silicon Indium gallium arsenide

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