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作者： Yeh, Chia-Hung Kang, Li-Wei Lee, Ming-Sui Lin, Cheng-Yang Department of Electrical Engineering National Sun Yat-sen University 804 Taiwan Graduate School of Engineering Science and Technology-Doctoral Program Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin 640 Taiwan Graduate Institute of Networking and Multimedia Department of Computer Science and Information Engineering National Taiwan University Taipei 106 Taiwan

Images/videos captured from optical devices are usually degraded by turbid media such as haze, smoke, fog, rain and snow. Haze is the most common problem in outdoor scenes because of the atmosphere conditions. This paper proposes a novel single image-based dehazing framework to remove haze artifacts from images, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze optical model, we propose to estimate atmospheric light via haze density analysis. We can then estimate transmission map, followed by refining it via the bilateral filter. As a result, high-quality haze-free images can be recovered with lower computational complexity compared with the state-of-the-art approach based on patch-based dark channel prior. ©2013 Optical Society of America.

关键词： Pixels

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Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

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Scientific data 2017年第1期4卷 170179页

作者： Jason Flannick Christian Fuchsberger Anubha Mahajan Tanya M Teslovich Vineeta Agarwala Kyle J Gaulton Lizz Caulkins Ryan Koesterer Clement Ma Loukas Moutsianas Davis J McCarthy Manuel A Rivas John R B Perry Xueling Sim Thomas W Blackwell Neil R Robertson N William Rayner Pablo Cingolani Adam E Locke Juan Fernandez Tajes Heather M Highland Josee Dupuis Peter S Chines Cecilia M Lindgren Christopher Hartl Anne U Jackson Han Chen Jeroen R Huyghe Martijn van de Bunt Richard D Pearson Ashish Kumar Martina Müller-Nurasyid Niels Grarup Heather M Stringham Eric R Gamazon Jaehoon Lee Yuhui Chen Robert A Scott Jennifer E Below Peng Chen Jinyan Huang Min Jin Go Michael L Stitzel Dorota Pasko Stephen C J Parker Tibor V Varga Todd Green Nicola L Beer Aaron G Day-Williams Teresa Ferreira Tasha Fingerlin Momoko Horikoshi Cheng Hu Iksoo Huh Mohammad Kamran Ikram Bong-Jo Kim Yongkang Kim Young Jin Kim Min-Seok Kwon Juyoung Lee Selyeong Lee Keng-Han Lin Taylor J Maxwell Yoshihiko Nagai Xu Wang Ryan P Welch Joon Yoon Weihua Zhang Nir Barzilai Benjamin F Voight Bok-Ghee Han Christopher P Jenkinson Teemu Kuulasmaa Johanna Kuusisto Alisa Manning Maggie C Y Ng Nicholette D Palmer Beverley Balkau Alena Stančáková Hanna E Abboud Heiner Boeing Vilmantas Giedraitis Dorairaj Prabhakaran Omri Gottesman James Scott Jason Carey Phoenix Kwan George Grant Joshua D Smith Benjamin M Neale Shaun Purcell Adam S Butterworth Joanna M M Howson Heung Man Lee Yingchang Lu Soo-Heon Kwak Wei Zhao John Danesh Vincent K L Lam Kyong Soo Park Danish Saleheen Wing Yee So Claudia H T Tam Uzma Afzal David Aguilar Rector Arya Tin Aung Edmund Chan Carmen Navarro Ching-Yu Cheng Domenico Palli Adolfo Correa Joanne E Curran Dennis Rybin Vidya S Farook Sharon P Fowler Barry I Freedman Michael Griswold Daniel Esten Hale Pamela J Hicks Chiea-Chuen Khor Satish Kumar Benjamin Lehne Dorothée Thuillier Wei Yen Lim Jianjun Liu Marie Loh Solomon K Musani Sobha Puppala William R Scott Loïc Yengo Sian-Tsung Tan Herman A Taylor Farook Thameem Gregory Wilson Tien Yin Wong Pål Rasmu Department of Molecular Biology Massachusetts General Hospital Boston Massachusetts USA. Program in Medical and Population Genetics Broad Institute Cambridge Massachusetts USA. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor Michigan USA. Wellcome Trust Centre for Human Genetics Nuffield Department of Medicine University of Oxford Oxford UK. Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge Massachusetts USA. Department of Statistics University of Oxford Oxford UK. Genetics of Complex Traits University of Exeter Medical School University of Exeter Exeter UK. MRC Epidemiology Unit Institute of Metabolic Science University of Cambridge Cambridge UK. Department of Twin Research and Genetic Epidemiology King's College London London UK. Oxford Centre for Diabetes Endocrinology and Metabolism Radcliffe Department of Medicine University of Oxford Oxford UK. Department of Human Genetics Wellcome Trust Sanger Institute Hinxton Cambridgeshire UK. School of Computer Science McGill University Montreal Quebec Canada. McGill University and Génome Québec Innovation Centre Montreal Quebec Canada. Human Genetics Center The University of Texas Graduate School of Biomedical Sciences at Houston The University of Texas Health Science Center at Houston Houston Texas USA. Department of Biostatistics Boston University School of Public Health Boston Massachusetts USA. National Heart Lung and Blood Institute's Framingham Heart Study Framingham Massachusetts USA. Medical Genomics and Metabolic Genetics Branch National Human Genome Research Institute National Institutes of Health Bethesda Maryland USA. Department of Biostatistics Harvard School of Public Health Boston Massachusetts USA. Chronic Disease Epidemiology Swiss Tropical and Public Health Institute University of Basel Basel Switzerland. Institute of Genetic Epidemiology Helmholtz Zentrum München German R

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.

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Principles of high–fidelity, high–density 3–d neural recording

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BMC Neuroscience 2014年第1期15卷 1-2页

作者： Caroline Moore-Kochlacs Nancy Kopell Justin P Kinney Ed S Boyden Jorg Scholvin Jacob G Bernstein Scott K Arfin Young Gyu Yoon Graduate Program for Neuroscience Boston University Boston MA 02215 USA McGovern Institute Massachusetts Institute of Technology MA 02139 USA Department of Mathematics and Statistics Boston University Boston MA 02215 USA Media Lab Massachusetts Institute of Technology MA 02139 USA Brain and Cognitive Science Massachusetts Institute of Technology MA 02139 USA Biological Engineering Massachusetts Institute of Technology MA 02139 USA Electrical Engineering and Computer Science Massachusetts Institute of Technology MA 02139 USA

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Towards real-time communication between in vivo neurophysiological data sources and simulator-based brain biomimetic models

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Journal of computational surgery 2014年第12期3卷 1-23页

作者： Giljae Lee Andréa Matsunaga Salvador Dura-Bernal Wenjie Zhang William W Lytton Joseph T Francis José Ab Fortes Department of Electrical and Computer Engineering University of Florida P.O. Box 116200 216 Larsen Hall Gainesville 32611 FL USA. Department of Physiology and Pharmacology State University of New York Downstate Medical Center 450 Clarkson Avenue Brooklyn 11203 NY USA. Department of Physiology and Pharmacology State University of New York Downstate Medical Center 450 Clarkson Avenue Brooklyn 11203 NY USA Department of Neurology State University New York Downstate Medical Center 450 Clarkson Avenue Brooklyn 11203 NY USA Department of Neurology Kings County Hospital 450 Clarkson Avenue Brooklyn 11203 NY USA Joint Program in Biomedical Engineering at Polytechnic Institute of New York University and State University of New York Downstate 450 Clarkson Avenue Brooklyn 11203 NY USA Program in Neural and Behavioral Science at State University of New York Downstate 450 Clarkson Avenue Brooklyn NY 11203 USA The Robert F. Furchgott Center for Neural & Behavioral Science State University of New York Downstate Medical Center 450 Clarkson Avenue Brooklyn NY 11203 USA. Department of Electrical and Computer Engineering University of Florida P.O. Box 116200 216 Larsen Hall Gainesville 32611 FL USA Department of Computer and Information Science and Engineering University of Florida P.O. Box 116120 E301 CSE Building Gainesville 32611 FL USA.

Development of more sophisticated implantable brain-machine interface (BMI) will require both interpretation of the neurophysiological data being measured and subsequent determination of signals to be delivered back to the brain. Computational models are the heart of the machine of BMI and therefore an essential tool in both of these processes. One approach is to utilize brain biomimetic models (BMMs) to develop and instantiate these algorithms. These then must be connected as hybrid systems in order to interface the BMM with data acquisition devices and prosthetic devices. The combined system then provides a test bed for neuroprosthetic rehabilitative solutions and medical devices for the repair and enhancement of damaged brain. We propose here a computer network-based design for this purpose, detailing its internal modules and data flows. We describe a prototype implementation of the design, enabling interaction between the Plexon Multichannel Acquisition Processor (MAP) server, a commercial tool to collect signals from microelectrodes implanted in a live subject and a BMM, a NEURON-based model of sensorimotor cortex capable of controlling a virtual arm. The prototype implementation supports an online mode for real-time simulations, as well as an offline mode for data analysis and simulations without real-time constraints, and provides binning operations to discretize continuous input to the BMM and filtering operations for dealing with noise. Evaluation demonstrated that the implementation successfully delivered monkey spiking activity to the BMM through LAN environments, respecting real-time constraints.

关键词： Biomimetic models Brain-machine interfaces Computational neuroscience Neuroprosthetics

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The Effect of Physical and Virtual Rotations of a 3D Object on Spatial Perception

The Effect of Physical and Virtual Rotations of a 3D Object ...

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International IEEE/EMBS Conference on Neural engineering

作者： O. Ranjbar Pouya A. Byagowi D. Kelly Z. Moussavi Biomedical Engineering program University of Manitoba Department of Electrical and Computer Engineering University of Manitoba Department of Psychology University of Manitoba

ISBN: (纸本)9781467319676

We question whether a virtual reality (VR) environment produces the same spatial perception as natural world. In this study, as a first attempt to answer the above question, we examined the perceived rotation of an object (a building) in both virtual and natural environments on spatial ability of 30 young males, while navigating in a virtual environment. We calculated the number of errors they made in finding a destination in a virtual reality navigational environment. The subjects performed three sets of 4 trials of finding a target room in a virtual building with no landmarks. At the beginning of each trial the target room was shown to the subject by rotation of the building from outside perspective. The building rotation was achieved in three conditions: 1) in virtual environment, 2) in real environment by rotating an identical but scaled physical building, and 3) by walking around the physical model. Each subject performed 4 trials of virtual navigation under each of the above conditions. In each trial, the traversed distance and the visited rooms were recorded by the program. One-way analysis of variance (ANOVA) was employed to find any statistical difference between the particpants' errors in three conditions. Overall, no statistically significant differences were found between the error scores in any of the three conditions. The results and their implications are discussed.

关键词： Space Perception Buildings Virtual Virtual environments Spatial Visualization physical models Environments landmarks Trials

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Deformation of porous, nanostructured silver at room temperature and 150C°

Deformation of porous, nanostructured silver at room tempera...

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2012 MRS Fall Meeting

作者： Noiseau, Guillaume Becker, Michael F. Keto, John W. Kovar, Desiderio Materials Science and Engineering Graduate Program University of Texas at Austin Austin TX 78712-1591 United States Department of Electrical and Computer Engineering University of Texas Austin TX United States Department of Physics University of Texas Austin TX United States Department of Mechanical Engineering University of Texas Austin TX United States

ISBN: (纸本)9781632661067

Porous, nanostructured silver samples were produced using a direct-write method where a nanoparticle aerosol consisting of particles with a mean size of approximately 5 nm were accelerated to speeds of approximately 1000 m/sec and impacted onto a translating substrate [1]. The impacting particles have sufficient energy to stick to the substrate, allowing patterned thick films to be directly written from the aerosol without a mask. Unlike other low temperature processing routes for achieving patterned films, no organics are added that can interfere with post-deposition processing. Typical films are 5-100 μm thick, up to several centimeters long, and have an as-deposited relative densities as high as 70% of bulk Ag. Compression tests were carried out in steps at room temperature and at 150°C under constant displacement rates. Local strain and densification were measured by optical profilometry between each compression step. The results can be used as a starting point to better understand the mechanisms that govern plasticity, creep, and sintering in nanostructured, porous silver at low processing temperatures. © 2013 Materials Research Society.

关键词： Room temperature

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Power quality control of wind-diesel hybrid power systems using fuzzy PI controller

Power quality control of wind-diesel hybrid power systems us...

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2012 3rd International Conference on Manufacturing Science and Technology, ICMST 2012

作者： Yang, Su-Hyung Kim, Ho-Chan Boo, Chang-Jin Kang, Min-Jae Kim, Eel-Hwan Ko, Hee-Sang Lee, Kwang Y. Multidisciplinary Graduate School Program for Wind Energy Jeju National University Korea Republic of Department of Electrical Engineering Jeju National University Korea Republic of Department of Electronic Engineering Jeju National University Korea Republic of Product Development Team/Wind Turbine Division Samsung Heavy Industries Co Korea Republic of Department of Electrical and Computer Engineering Baylor University United States

ISBN: (纸本)9783037855638

This paper proposes a modeling and controller design approach for a wind-diesel hybrid system including dump load. The proposed control scheme for power quality is fuzzy PI controller which has advantages of PI and fuzzy controller. Simulation results show that the proposed controller is more effective against disturbances caused by wind speed and load variation than the PI controller, and thus it contributes to a better quality wind-diesel hybrid power system. © (2013) Trans Tech Publications, Switzerland.

关键词： Controllers

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Analysis of Needle-Tissue Friction during Vibration-Assisted Needle Insertion

Analysis of Needle-Tissue Friction during Vibration-Assisted...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Iman Khalaji Mostafa Hadavand Ali Asadian Rajni V. Patel Michael D. Naish Canadian Surgical Technologies and Advanced Robotics (CSTAR) Lawson Health Research Institute London Canada Biomedical Engineering Graduate Program Western University Department of Electrical and Computer Engineering Western University Department of Electrical and Computer Engineering and the Department of Surgery Western University Department of Mechanical and Materials Engineering and the Department of Electrical and Computer Engineering Western University

ISBN: (纸本)9781467363563

In this paper, a vibration-assisted needle insertion technique has been proposed in order to reduce needle-tissue friction. The LuGre friction model was employed as a basis for the current study and the model was extended and analyzed to include the impact of high-frequency vibration on translational friction. Experiments were conducted to evaluate the role of insertion speed as well as vibration frequency on frictional effects. In the experiments conducted, an 18 GA brachytherapy needle was vibrated and inserted into an ex-vivo soft tissue sample using a pair of amplified piezoelectric actuators. Analysis demonstrates that the translational friction can be reduced by introducing a vibratory low-amplitude motion onto a regular insertion profile, which is usually performed at a constant rate.

关键词： friction high frequency vibration LuGre friction Vibrational frequencies Insertion Mutation Pairing

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Vibration Characterization Using Gaussian Laser Beam

Vibration Characterization Using Gaussian Laser Beam

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International Conference on Modeling, Simulation and Applied Optimization

作者： Naveed A. Abbasi Taha Landolsi Rached Dhaouadi Graduate Program of Mechatronics Engineering American University of Sharjah Department of Computer Engineering American University of Sharjah Department of Electrical Engineering American University of Sharjah

ISBN: (纸本)9781467358125

The objective of this research is to present a neural network based optical vibration sensor using a quad-cell photo-detector array. The proposed system uses a He-Ne laser source whose Gaussian beam impinges on the photo-detector array. The optical power distribution from the photo-detectors is fed to vibration monitoring system which maps the power distribution to the x-y position of the laser beam center. The vibration monitoring system uses artificial neural networks for function approximation to yield the correct mapping and estimate the x-y positions of the laser beam center which are then used for vibration characterization. An experimental setup of the system is developed and then trained using neural networks. The results obtained show the effectiveness of neural networks to estimate the vibration frequency and magnitude of a vibrating system.

关键词： Vibration monitoring Neural network Optical sensor Quad-cell photo detector array

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A bee-inspired algorithm for optimal data clustering

A bee-inspired algorithm for optimal data clustering

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2013 IEEE Congress on Evolutionary Computation, CEC 2013

作者： Cruz, Davila Patricia Ferreira Maia, Renato Dourado Szabo, Alexandre De Castro, Leandro Nunes Educational Foundation of Montes Claros Montes Claros MG Brazil Computer Sciences Department State University of Montes Claros Montes Claros MG Brazil Graduate Program in Electrical Engineering Mackenzie University São Paulo Brazil

ISBN: (纸本)9781479904549

The amount of data generated in different knowledge areas has made it necessary the use of data mining tools capable of automatically analyzing and extracting knowledge from datasets. Clustering is one of the most important tasks in data mining and can be defined as the process of partitioning objects into groups or clusters, such that objects in the same group are more similar to one another than to objects belonging to other groups. In this context, this paper aims to propose an adaptation of a bee-inspired optimization algorithm so that it is able to solve data clustering problems. The algorithm was run for different datasets and the results obtained showed high quality clusters and diversity of solutions, whilst a suitable number of clusters was automatically determined. © 2013 IEEE.

关键词： Swarm intelligence

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