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CNNA 2016;15th International Workshop on Cellular Nanoscale Networks and their Applications

作者： Zachary Hull Donald Chiarulli Steven Levitan Gyorgy Csaba Wolfgang Porod Matthew Pufall William Rippard Nigel Stepp Yongqiang Cao Shankar Rao Praveen Pilly David Payton Computer Engineering Program University of Pittsburgh Department of Electrical Engineering University of Notre Dame National Institute of Standards and Technology (NIST) HRL Laboratories LLC

We present an end-to-end image-processing pipeline that is accelerated using coupled spin-torque oscillator (STO) arrays for its key computational kernels. Coupled oscillator arrays are used throughout the pipeline, including the computation of spectral and spatial transforms in the saliency stages and convolution in the CNN-based classifiers in the back end. We present results for two types of oscillator models, a generic, parameterized, model that captures variations in coupling asymmetry, locking range, and noise, and a hardware calibrated spice model of a coupled STO array with data curve fitted to a closed-form C++ model. The pipeline was run over three benchmark datasets, the Neovision2 Tower and Helicopter datasets [1] and the DARPA Vivid dataset [2]. We show the sensitivity of the output to parameter variations in the generic model and show equivalent performance for the STO model.

关键词： Coupled Oscillator arrays Image Processing Saliency analysis Object classification

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Electrical tuning of polarizaion-state using graphene-integrated metasurfaces

arXiv

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arXiv 2017年

作者： Dabidian, Nima Dutta-Gupta, Shourya Kholmanov, Iskandar Belkin, Mikhail Shvets, Gennady Department of Physics Center for Nano and Molecular Science and Technology University of Texas at Austin AustinTX78712 United States Department of Electrical and Computer Engineering Microelectronics Research Center University of Texas at Austin 10100 Burnet Road AustinTX78758 United States Department of Mechanical Engineering and Materials Science Program University of Texas at Austin AustinTX78712 United States CNR-INO Sensor Lab University of Brescia via Branze 45 Brescia25123 Italy

Plasmonic metasurfaces have been employed for tuning and controlling light enabling various novel applications. Their appeal is enhanced with the incorporation of an active element with the metasurfaces paving the way for dynamic control. In this letter, we realize a dynamic polarization state generator using graphene-integrated anisotropic metasurface (GIAM), where a linear incidence polarization is controllably converted into an elliptical one. The anisotropic metasurface leads to an intrinsic polarization conversion when illuminated with non-orthogonal incident polarization. Additionally, the single-layer graphene allows us to tune the phase and intensity of the reflected light on the application of a gate voltage, enabling dynamic polarization control. The stokes polarization parameters of the reflected light are measured using rotating polarizer method and it is demonstrated that a large change in the ellipticity as well as orientation angle can be induced by this device. We also provide experimental evidence that the titl angle can change independent of the ellipticity going from positive values to nearly zero to negative values while ellipticity is constant. Copyright © 2017, The Authors. All rights reserved.

关键词： Graphene

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Corrigendum: Continuum-scale modeling of helium bubble bursting under plasma-exposed tungsten surfaces (2018 Nucl. Fusion 58 126034)

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Nuclear Fusion 2018年第2期59卷

作者： Sophie Blondel David E. Bernholdt Karl D. Hammond Brian D. Wirth Department of Nuclear Engineering University of Tennessee Knoxville TN 37996-2300 United States of America Computer Sciences and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN 37831 United States of America Department of Chemical Engineering University of Missouri Columbia MO 65211 United States of America Nuclear Engineering Program University of Missouri Columbia MO 65211 United States of America Fusion and Materials for Nuclear Systems Division Oak Ridge National Laboratory Oak Ridge TN 37831 United States of America

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Facial expression recognition in the wild using improved dense trajectories and Fisher vector encoding

Facial expression recognition in the wild using improved den...

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IEEE Conference on computer Vision and Pattern Recognition Workshops

作者： Sadaf Afshar Albert Ali Salah Computational Science and Engineering Program Boğaziçi University Istanbul Turkey Department of Computer Engineering Boğaziçi University Istanbul Turkey

Improved dense trajectory features have been successfully used in video-based action recognition problems, but their application to face processing is more challenging. In this paper, we propose a novel system that deals with the problem of emotion recognition in real-world videos, using improved dense trajectory, LGBP-TOP, and geometric features. In the proposed system, we detect the face and facial landmarks from each frame of a video using a combination of two recent approaches, and register faces by means of Procrustes analysis. The improved dense trajectory and geometric features are encoded using Fisher vectors and classification is achieved by extreme learning machines. We evaluate our method on the extended Cohn-Kanade (CK+) and EmotiW2015 Challenge databases. We obtain state-of-the-art results in both databases.

关键词： Videos Trajectory Feature extraction Mouth Face recognition Support vector machines Cameras

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A low-cost, open-source, compliant hand for enabling sensorimotor control for people with transradial amputations

A low-cost, open-source, compliant hand for enabling sensori...

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

作者： Aadeel Akhtar Kyung Yun Choi Michael Fatina Jesse Cornman Edward Wu Joseph Sombeck Chris Yim Patrick Slade Jason Lee Jack Moore Daniel Gonzales Alvin Wu Garrett Anderson David Rotter Cliff Shin Timothy Bretl Neuroscience Program and Medical Scholars Program Dept. of Aerospace Engineering Dept. of Electrical & Computer Engineering Dept. of Mechanical Science & Engineering Rehabilitation Counseling Program Center for Wounded Veterans Scheck & Siress Prosthetics Orthotics Chicago IL USA Industrial Design Program University of Illinois at Urbana-Champaign Urbana IL USA

In this paper, we describe the design and implementation of a low-cost, open-source prosthetic hand that enables both motor control and sensory feedback for people with transradial amputations. We integrate electromyographic pattern recognition for motor control along with contact reflexes and sensory substitution to provide feedback to the user. Compliant joints allow for robustness to impacts. The entire hand can be built for around $550. This low cost makes research and development of sensorimotor prosthetic hands more accessible to researchers worldwide, while also being affordable for people with amputations in developing nations. We evaluate the sensorimotor capabilities of our hand with a subject with a transradial amputation. We show that using contact reflexes and sensory substitution, when compared to standard myoelectric prostheses that lack these features, improves grasping of delicate objects like an eggshell and a cup of water both with and without visual feedback. Our hand is easily integrated into standard sockets, facilitating long-term testing of sensorimotor capabilities.

关键词： Visualization Grasping Electromyography Sockets Motor drives Pattern recognition Prosthetics

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Cochlear tuning… of mice and men

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AIP Conference Proceedings 2018年第1期1965卷

作者： Shirin Farrahi Roozbeh Ghaffari Jonathan B. Sellon Hideko H. Nakajima Dennis M. Freeman 1Research Laboratory of Electronics MIT Cambridge Massachusetts USA 2Department of Electrical Engineering and Computer Science MIT Cambridge Massachusetts USA 3Harvard-MIT Program in Health Sciences and Technology Cambridge Massachusetts USA 4Department of Otolaryngology Harvard Medical School and Massachusetts Eye and Ear Boston Massachusetts USA

It has been suggested that humans discriminate different frequency sounds with greater selectivity than other mammals. However, mechanisms that could underlie higher frequency selectivity in humans are unclear. Recent studies show that the tectorial membrane (TM) supports longitudinally propagating waves, and the spread of excitation of these TM waves has been implicated in controlling the tuning properties in a mutant mouse model of hearing. Here we compare TM morphology and waves in humans and mice and show that despite some differences in morphology, the spread of excitation of TM waves is similar in spatial extent. However, the cochlear maps of humans and mice differ significantly, with similar cochlear distances mapping to a narrower range of best frequencies in humans than in mice. By coupling different frequency ranges, TM waves could contribute to differences in frequency tuning in mammals, with the smaller human range of frequencies corresponding to sharper frequency tuning.

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The sensing properties of fuzzy carbon nanotube based silica fibers 5

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Advances in Materials Science for Environmental and Energy Technologies V - Materials Science and Technology 2015 Conference and Exhibition, MS and T 2015

作者： Radetic, M. Cortes, P. Kubas, G. Cook, Jim Gade, Ravi Chandra Reddy Oder, T. Department of Civil/Envtl. and Chemical Engineering Youngstown State University YoungstownOH44555 United States Materias Science and Engineering Program Youngstown State University YoungstownOH44555 United States Department of Electrical and Computer Engineering Youngstown State University YoungstownOH44555 United States Department of Physics and Astronomy Youngstown State University YoungstownOH44555 United States

ISBN: (纸本)9781119323617

The present research program investigates the mechanical sensing properties of fuzzy silica fibers either coated with carbon nanotubes (CNTs), or with a CNT-Zinc Oxide (ZnO) layered arrangement. Here, the CNTs have been grown directly on the silica fiber using a Chemical Vapor Deposition (CVD) process. In the case of the CNT-ZnO based Silica fibers, the semiconducting coating was performed using a sputter deposition system. The sensing properties of the manufactured fuzzy fibers have been investigated through a curing process on a thermoset resin as well as through a series of compressive tests. It has been observed, that the fuzzy fibers are capable of detecting the curing time of the polymeric resin as well as measuring the mechanical deformation of the cured resin after being subjected to a series of compressive tests.

关键词： Carbon nanotubes

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The knowledge gradient for sequential decision making with stochastic binary feedbacks 33

The knowledge gradient for sequential decision making with s...

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33rd International Conference on Machine Learning, ICML 2016

作者： Wang, Yingfei Wang, Chu Powell, Warren Department of Computer Science Princeton University PrincetonNJ08540 United States Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States Department of Operations Research and Financial Engineering Princeton University PrincetonNJ08544 United States

ISBN: (纸本)9781510829008

We consider the problem of sequentially making decisions that are rewarded by "successes" and "failures" which can be predicted through an unknown relationship that depends on a partially controllable vector of attributes for each instance. The learner takes an active role in selecting samples from the instance pool. The goal is to maximize the probability of success, either after the offline training phase or minimizing regret in online learning. Our problem is motivated by real-world applications where observations are time consuming and/or expensive. With the adaptation of an online Bayesian linear classifier, we develop a knowledge-gradient type policy to guide the experiment by maximizing the expected value of information of labeling each alternative, in order to reduce the number of expensive physical experiments. We provide a finite-time analysis of the estimated error and demonstrate the performance of the proposed algorithm on both synthetic problems and benchmark UCI datasets.

关键词： Benchmarking

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Implementation Method CUSUM To Determine The Accident Prone Areas in Web Based

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Journal of Physics: Conference Series 2018年第1期1114卷

作者： Rozzi Kesuma Dinata Dahlan Abdullah H Hartono Cut Ita Erliana Berliana Kusuma Riasti Akbar Iskandar Ifit Novita Sari Nurmawati Ricardo Freedom Nanuru Lusi Dwi Putri Rosida Tiurma Manurung S. Sriadhi A A Saleh T Astari Muammar Khaddafi Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Department of Informatics Universitas Sebelas Maret Surakarta. Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Departement of: Social Science Education Program Post Graduate Program Universitas Kanjuruhan Malang Malang Indonesia Faculty of industry Technique University of 45 Surabaya Indonesia Universitas Kristen Indonesia Maluku Ambon Indonesia Department of Civil Engineering Universitas Lancang Kuning Pekanbaru Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Statistics Financial & Social Sciences Research Group Indonesia Department of Elementary School Teacher Education STKIP Citra Bangsa Aceh Utara Aceh Indonesia Department of Accounting Universitas Malikussaleh Aceh Indonesia

At the Unit Laka Lantas Polres Lhokseumawe determining accident-prone areas on roads in Lhokseumawe still using manual systems. Determination of accident-prone areas are less effective because the police Unit Laka Lantas Polres Lhokseumawe just using the data of the last year and had to repeatedly calculate manually accident-prone areas based on the number of human casualties. In this study the system implementation CUSUM method (Cummulative Summary) to determine the accident-prone areas designed using the web-based programming language PHP. In this system there are three processes to determine areas prone to accidents, the accident rate calculations based on the weighted severity, blacksite calculations using the Z-Score method for determining areas prone to accident blackspots and calculations using the CUSUM method to determine the critical points of an accident. The data used are secondary data obtained from the Police Unit Laka Lantas Polres Lhokseumawe years 2009-2013.

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Retraction: Implementation Method CUSUM To Determine The Accident Prone Areas in Web Based (J. Phys.: Conf. Ser. 1114 012093)

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Journal of Physics: Conference Series 2018年第1期1114卷

This paper was retracted by IOP Publishing on 12 December 2018. This paper was published due to a technical error and was not intended to be included in this journal. Retraction published: 8 February 2019

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