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

作者： Nicolas Pallikarakis Zhivko Bliznakov Damijan Miklavcic Tomaz Jarm Ratko Magjarevic Igor Lackovic Leandro Pecchia Rita Stagni Akos Jobaggy Joseph Barbenel University of Patras School of Health Sciences Department of Medical Physics Biomedical Technology Unit Institute of Biomedical Technology University of Ljubljana Faculty of Electrical Engineering University of Zagreb Faculty of Electrical Engineering and Computing University of Naples - Federico II Department of Biomedical Electronic and Telecommunication Engineering University of Bologna Department of Electronics Computer Science and Systems Budapest University of Technology and Economics Department of Measurement and Information Systems University of Strathclyde

ISBN: (纸本)9781424441211

Biomedical Engineers should be prepared to adapt to existing or forecasted needs. There is a strong pressure on education, training and life long learning programs to continuously adapt their objectives in order to face new requirements and challenges. The main objective of the TEMPUS IV, CRH-BME project is to update existing curricula in the field of Biomedical engineering (BME) in order to meet recent and future developments in the area, address new emerging inter-disciplinary domains that appear as a result of the R&D progress and respond to the BME job market demands. The first step is to extensively review the curricula in the BME education field. In this paper, a proposal for a generic curriculum in the BME education is presented, in order to meet recent and future developments and respond to the demands of the BME job market. Adoption of the core program structure will facilitate harmonization of studies as well as student and staff exchange across Europe, thus promoting the European Higher Education Area.

关键词： Biology Europe Biomedical engineering Educational institutions Knowledge engineering Mathematics

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Skel: Generative software for producing skeletal I/O applications

Skel: Generative software for producing skeletal I/O applica...

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7th IEEE International Conference on e-science Workshops, escienceW 201

作者： Logan, Jeremy Klasky, Scott Lofstead, Jay Abbasi, Hasan Ethier, Stéphane Grout, Ray Ku, Seung-Hoe Liu, Qing Ma, Xiaosong Parashar, Manish Podhorszki, Norbert Schwan, Karsten Wolf, Matthew Oak Ridge National Laboratory Oak Ridge TN United States Sandia National Laboratories Albuquerque NM United States National Institute for Computational Sciences University of Tennessee Oak Ridge TN United States Department of Electrical and Computer Engineering Rutgers the State University of New Jersey Piscataway NJ United States Courant Institute of Mathematical Sciences New York University New York NY United States Department of Computer Science North Carolina State University Raleigh NC United States Plasma Physics Laboratory Princeton University Princeton NJ United States National Renewable Energy Laboratory Golden CO United States College of Computing Georgia Tech. Atlanta GA United States

ISBN: (纸本)9780769545981

Massively parallel computations consist of a mixture of computation, communication, and I/O. Of these three components, implementing an effective parallel I/O solution has often been overlooked by application scientists and has typically been added to large scale simulations only when existing serial techniques have failed. As scientists' teams scaled their codes to run on hundreds of processors, it was common to call on an I/O expert to implement a set of more scalable I/O routines. These routines were easily separated from the calculations and communication, and in many cases, an I/O kernel was derived from the application which could be used for testing I/O performance independent of the application. These I/O kernels developed a life of their own used as a broad measure for comparing different I/O techniques. Unfortunately, as years passed and computation and communication changes required changes to the I/O, the separate I/O kernel used for benchmarking remained static, no longer providing an accurate indicator of the I/O performance of the simulation, and making I/O research less relevant for the application scientists. In this paper we describe a new approach to this problem where I/O kernels are replaced with skeletal I/O applications that are automatically generated from an abstract set of simulation I/O parameters. We realize this abstraction by leveraging the ADIOS [1] middleware's XML I/O specification with additional runtime parameters. Skeletal applications offer all of the benefits of I/O kernels including allowing I/O optimizations to focus on useful I/O patterns. Moreover, since they are automatically generated, it is easy to produce an updated I/O skeleton whenever the simulation's I/O changes. In this paper we analyze the performance of automatically generated I/O skeletal applications for the S3D and GTS codes. We show that these skeletal applications achieve performance comparable to that of the production applications. We wrap up the paper with

关键词： Benchmarking

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A Multitier System for the Verification, Visualization and Management of CHIMERA

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Procedia computer science 2011年 4卷 2076-2085页

作者： E.J. Lingerfelt O.E.B. Messer J.A. Osborne R.D. Budiardja A. Mezzacappa Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN 37831-6354 Leadership Computing Facility Oak Ridge National Laboratory Oak Ridge TN 37831-6354 Department of Physics and Astronomy University of Tennessee Knoxville TN 37996-1200 Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN 37996-2100 NSF Teragrid XD RDAVCenter National Institute for Computational Sciences University of Tennessee Knoxville TN 37996-2100 Physics Division Oak Ridge National Laboratory Oak Ridge TN 37831-6354

CHIMERA is a multi-dimensional radiation hydrodynamics code designed to study core-collapse supernovae. The code is made up of three essentially independent parts: a hydrodynamics module, a nuclear burning module, and a neutrino transport solver combined within an operator-split approach. Given CHIMERA's complexity and pace of ongoing development, a new support system, Bellerophon, has been designed and implemented to perform automated verification, visualization and management tasks while integrating with other workflow systems utilized by CHIMERA's development group. In order to achieve these goals, a multitier approach has been adopted. By integrating supercomputing platforms, visualization clusters, a dedicated web server and a client-side desktop application, this system attempts to provide an encapsulated, end-to-end solution to these needs.

关键词： Supernovae Visualization Regression test Code verification Multitier system

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Effect of visual stimulus locations on pattern-reversal visual evoked potential An epidural electrocorticogram study

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中国神经再生研究（英文版） 2011年第26期6卷

作者： Wensheng Hou1 Weiwei Shi1 Xiaolin Zheng1 Na Liu2 Zongxia Mou1 Yingtao Jiang3 Zhengqin Yin2 1Key laboratory of Biorheological science and Technology (Chongqing University) Ministry of Education Bioengineering College Chongqing University Chongqing 400044 China 2department of Ophthalmology Southwest Hospital Third Military medical University of Chinese PLA Chongqing 400038 China 3department of electrical and computer engineering University of Nevada Las Vegas NV 89154 USA Key Laboratory of Biorheological Science and Technology (Chongqing University) Ministry of EducationBioengineering CollegeChongqing UniversityChongqing 400044China Department of Ophthalmology Southwest HospitalThird Military Medical University of Chinese PLAChongqing 400038China Department of Electrical and Computer Engineering University of NevadaLas VegasNV 89154USA

To explore the effect of the location of a visual stimulus on neural responses in the primary visual cortex (V1), a micro-electromechanical system-based microelectrode array with nine channels was implanted on the cerebral dura mater of V1 in adult cats. 2 Hz pattern reversal checkerboard stimuli were used to stimulate the four visual quadrants (i.e., upper left, upper right, lower left, and lower right fields). The results showed that there was a N75 component of the visual evoked potential around 50-80 ms after the onset of a checkerboard stimulus, and the onset of these N75 peaks varied with different stimulus locations. The checkerboard stimuli induced shorter latencies in the contralateral V1 than in the ipsilateral V1, while the checkerboard stimulus in the upper half visual field induced shorter latencies for N75. These results suggested that the pattern-reversal stimuli induced neural activities in V1 that can be recorded with multichannel microelectrodes, and more detailed temporal and spatial properties can be measured.

关键词： checkerboard cerebral dura mater visual evoked potential microelectrode array primary visual cortex

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Evaluating 3D position and velocity of subject in parabolic flight experiment by use of the binocular stereo vision measurement

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Chinese Optics Letters 2010年第6期8卷 601-605页

作者：金涛贾宏志侯文玫 Ryo Yamamoto Norihiro Nagai Yusaku Fujii Koichi Maru Naoya Ohta Kazuhito Shimada Shanghai Key Laboratory of Modern Optical System School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and Technology Department of Electronic Engineering Faculty of EngineeringGunma University Department of Computer Science Faculty of EngineeringGunma University Medical Operations Japan Aerospace Exploration Agency(JAXA)JAXA Houston OfficeHouston 77058USA

A practical method for evaluating the three-dimensional（3D） position and velocity of a moving object used in the parabolic flight experiment is developed by using the binocular stereo vision measurement theory. The camera calibration mathematic model without considering the lens distortion is *** direct linear transformation（DLT） algorithm is improved to accomplish the camera *** camera calibration result and optimization algorithm are used to calculate the object＇s world coordinate from image *** 3D position and the velocity of the moving object are *** standard uncertainty in estimating the velocity is 0.0024 m/s,which corresponds to 1%level of the velocity of the object in the *** results show that this method is very useful for the parabolic flight experiments.

关键词： Binoculars Calibration Cameras Experiments Linear transformations Measurement theory Three dimensional Uncertainty analysis Velocity

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Skel: Generative Software for Producing Skeletal I/O Applications

Skel: Generative Software for Producing Skeletal I/O Applica...

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IEEE International Conference on E-science Workshops

作者： Jeremy Logan Scott Klasky Jay Lofstead Hasan Abbasi Stephane Ethier Ray Grout Seung-Hoe Ku Qing Liu Xiaosong Ma Manish Parashar Norbert Podhorszki Karsten Schwan Matthew Wolf Oak Ridge National Laboratory Oak Ridge TN USA Sandia National Laboratories Albuquerque NM USA Plasma Physics Laboratory Princeton University Princeton NJ USA National Renewable Energy Laboratory Golden CO USA Courant Institute of Mathematical Sciences New York University New York NY USA National Institute for Computational Sciences University of Tennessee Oak Ridge TN USA Department of Computer Science North Carolina State University Raleigh NC USA Department of Electrical & Computer Engineering Rutgers The State University of New Jersey Piscataway NJ USA College of Computing Georgia Tech Atlanta GA USA

关键词： XML Kernel Arrays Benchmark testing Educational institutions Reactive power Hardware

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Dependable, efficient, scalable architecture for management of large-scale batteries 10

Dependable, efficient, scalable architecture for management ...

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1st ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2010

作者： Kim, Hahnsang Shin, Kang G. Real-Time Computing Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109-2121 United States

ISBN: (纸本)9781450300667

Conventional battery management systems (BMSs) for electric vehicles (EVs) are designed in an ad hoc way, causing the supply of EVs to fall behind the market demand. A well-designed and combined hardware-software architecture is essential for the management of a large-scale battery pack that consists of thousands of battery cells as in Tesla Motors and GM Chevy Volt. We propose a Dependable, Efficient, Scalable Architecture (DESA) that effectively monitors a large number of battery cells, efficiently controls and reconfigures, if needed, their connection arrangement. DESA is monarchy-based and supports hierarchical, autonomous management of battery cells, where a global BMS orchestrates a group of local BMSs. A local controller on each local BMS autonomously manages an array of battery cells, and the global controller reconfigures the connectivity of such battery-cell arrays in coordination with the local controllers. Configuration of a battery system is controlled by three types of switch - called P-, S-, and B-switches - and an algorithm that changes the setting of these switches. Our evaluation results show that DESA effectively tolerates battery-cell failures by order of magnitude - while achieving service cost savings 7.4 times - more than a conventional BMS. This superior performance not only extends the battery life signifcantly, but also provides the flexibility in supporting diverse electric power demands from a growing number of on-board applications. © 2010 ACM.

关键词： Software architecture

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Leukemia cancer classification based on support vector machine

Leukemia cancer classification based on support vector machi...

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8th IEEE International Conference on Industrial Informatics, INDIN 2010

作者： Hsieh, Sung-Huai Wang, Zhenyu Cheng, Po-Hsun Lee, I-Shun Hsieh, Sheau-Ling Lai, Feipei Department of Computer Science and Information Engineering Providence University Taiwan Computing Laboratory Oxford University Oxford United Kingdom Department of Software Engineering National Kaohsiung Normal University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taiwan Network and Computer Centre National Chiao Tung University Hsin Chu Taiwan

ISBN: (纸本)9781424473007

In the paper, we classify cancer with the Leukemia cancer of medical diagnostic data. Information gain has been adapted for feature selections. A Leukemia cnacer model that utilizes Information Gain based on Support Vector Machines (IG-SVM) techniques and enhancements to evaluate, interpret the cacer classification. The experimental results indicate that the SVM model illustrates the highest accuracy of classifications for Leukemia cancer. © 2010 IEEE.

关键词： Support vector machines

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Stretchable Solar Cells: Stretchable GaAs Photovoltaics with Designs That Enable High Areal Coverage (Adv. Mater. 8/2011)

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Advanced Materials 2011年第8期23卷

作者： Jongho Lee Jian Wu Mingxing Shi Jongseung Yoon Sang‐Il Park Ming Li Zhuangjian Liu Yonggang Huang John A. Rogers Department of Materials Science and Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana Illinois 61801 USA Department of Civil and Environmental Engineering Northwestern University Evanston IL 60208 USA Institute of High Performance Computing Singapore 138631 Singapore Department of Engineering Mechanics Dalian University of Technology Dalian 116024 China Departments of Civil and Environmental Engineering and Mechanical Engineering Northwestern University Evanston Illinois 60208 USA Department of Materials Science and Engineering Chemistry Mechanical Science and Engineering Electrical and Computer Engineering Beckman Institute for Advanced Science and Technology and Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana Illinois 61801 USA

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Techniques for automatic magnetic resonance image classification

Techniques for automatic magnetic resonance image classifica...

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International Conference on Genetic and Evolutionary computing

作者： Chen, Hsian-Min Chen, Shih-Yu Chai, Jyh Wen Chen, Clayton Chi-Chang Wu, Chao-Cheng Ouyang, Yen-Chieh Tsai, Ching Tsorng Yang, Ching-Wen Lee, San-Kan Chang, Chein-I Department of Biomedical Engineering Hungkuang University Taichung Taiwan Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Section of Radiology College of Medicine China Medical University Taichung Taiwan Department of Radiology Taichung Veterans General Hospital Taichung Taiwan Department of Radiological Technology Central Taiwan University of Science and Technology Taichung Taiwan Department of Electrical Engineering National Taipei University of Technology Taipei Taiwan Computer Science Department Tunghai University Taichung Taiwan Computer Center Taichung Veterans General Hospital Taichung Taiwan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 United States

ISBN: (纸本)9780769542812

Designing and developing automatic techniques for magnetic resonance images (MR) for data analysis is very challenging. One popular and public available method, FAST (FMRIB Automatic Segmentation Tool) has been widely used for automatic brain tissue segmentation for this purpose. This paper investigates limitations of this software algorithm on implementation and further develops a new approach to automatic MR brain tissue classification. The proposed new technique first implements an unsupervised training sample generation process (UTSGP) which includes a Pixel Purity Index (PPI) to generate an initial set of training samples that are further refined by a Support Vector Machine. The resulting training samples are then as a set of training samples for an Iterative Fisher's Linear Discriminant Analysis (IFLDA) which implements FLDA iteratively to improve classification. In order to conduct a fair comparison synthetic images are used for performance evaluation. Experimental results show that our proposed technique is superior in practical implementation to this software algorithm in several aspects of generalization ability, flexibility of choosing number of classes to be classified, avoidance of inconsistent results caused by different initial conditions. © 2010 IEEE.

关键词： Support vector machines

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