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第七届中国测试学术会议

作者： Jin Song 靳松 Han Yinhe 韩银和 Xu Qiang 徐强 Department of Electronic and Communication Engineering School of Electrical and Electronic Engineer 华北电力大学电气与电子工程学院电子与通信工程系保定071003 State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of 中国科学院计算技术研究所计算机体系结构国家重点实验室北京100190 CUhk REliable Computing Laboratory(CURE) Department of Computer Science&Engineering The Chinese Un 香港中文大学计算机科学与工程系

负偏置温度不稳定(NBTI)引发的动态参数偏差给集成电路的生命期可靠性带来严重威胁。已有的方法主要通过设计片上检测电路实时监测关键通路的时延偏差来阻止NBTI导致的电路失效。然而，不断恶化的静、动参数偏差，不断增加的设计复杂度... 详细信息

负偏置温度不稳定(NBTI)引发的动态参数偏差给集成电路的生命期可靠性带来严重威胁。已有的方法主要通过设计片上检测电路实时监测关键通路的时延偏差来阻止NBTI导致的电路失效。然而，不断恶化的静、动参数偏差，不断增加的设计复杂度以及片上检测电路所引入的面积开销会影响上述方法的应用效果。为了弥补已有方法的不足，本文提出以测量到的电路漏电变化为表征，预测NBTI导致的电路时延偏差。首先，通过施加一组测量向量得到的电路漏电变化量被联立成一个方程组;求解方程组后可以得到关键通路上关键门的漏电变化量。随后，根据描述漏电变化与时延偏差相关性的分析表达式来预测任意关键通路的时延偏差。提出的方法对电路工作过程中的实时噪声免疫，且可以通过增加漏电测量时间抵消参数偏差对预测结果的影响。实验结果表明，提出的方法能够以可接受的精度损失有效地预测NBTI导致的电路时延偏差。

关键词：纳米集成电路负偏置温度不稳定性漏电变化时延监测

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Knowledge Granulation in Interval-Valued Information Systems

Knowledge Granulation in Interval-Valued Information Systems

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International Workshop on Intelligent Systems and Applications, ISA

作者： Nan Zhang Duoqian Miao Can Gao Department of Computer Science and Technology University of Tongji Shanghai China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Key Laboratory of Embedded System and Service Computing of Ministry of Education University of Tongji Shanghai China

Rough set theory, proposed by Pawlak, has been proved to be a mathematical tool to deal with vagueness and uncertainty in intelligent information processing. In this paper, we propose the concept of knowledge granulation in interval-valued information systems, and discuss some important properties. From these properties, it can be shown that the proposed knowledge granulation provides important approaches to measuring the discernibility of different knowledge. It may be helpful for rule evaluation and knowledge discovery in interval-valued information systems.

关键词： Information systems Approximation methods Uncertainty Rough sets computers Entropy

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Degree of polarization of Mie scattered stationary partially coherent electromagnetic fields

Degree of polarization of Mie scattered stationary partially...

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International Conference on Quantum Electronics (IQEC)

作者： Madara L. Marasinghe Malin Premaratne David M. Paganin Advanced Computing and Simulation Laboratory (AL) Department of Electrical and Computer Systems Engineering Faculty of Engineering Monash University Clayton VIC Australia School of Physics Faculty of Science Monash University Clayton VIC Australia

The polarization of non-paraxial partially coherent light scattered from nanospheres cannot be described easily. We utilize the degree of polarization to quantify Mie scattered partially coherent light and demonstrate... 详细信息

ISBN: (纸本)9780977565771

关键词： Polarization Lattices Electromagnetic fields Optics Coherence Dielectrics

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Memory Efficient On-Line Streaming for Multichannel Spike Train Analysis

Memory Efficient On-Line Streaming for Multichannel Spike Tr...

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

作者： Bo Yu Terrence Mak Leslie Smith Yihe Sun Alex Yakovlev Chi-Sang Poon Tsinghua National Laboratory for Information Science and Technology Institute of Microelectronics Tsinghua University School of Electrical Electronic and Computer Engineering Department of Computing Science and Mathematics University of Stirling Harvard-MIT Division of Health Sciences and Technology MIT

ISBN: (纸本)9781424441211

Rapid advances in multichannel neural signal recording technologies in recent years have spawned broad applications in neuro-prostheses and neuro-rehabilitation. The dramatic increase in data bandwidth and volume associated with multichannel recording requires a significant computational effort which presents major design challenges for brain-machine interface (BMI) system in terms of power dissipation and hardware area. In this paper, we present a streaming method for implementing real-time memory efficient neural signal processing hardware. This method exploits the pseudo-stationary property of neural signals and, thus, eliminates the need of temporal storage in batch-based processing. The proposed technique can significantly reduce memory size and dynamic power while effectively maintaining the accuracy of algorithms. The streaming kernel is robust when compared to the batch processing over a range of BMI benchmark algorithms. The advantages of the streaming kernel when implemented on field-programmable gate array (FPGA) devices are also demonstrated.

关键词： Streaming Batch processing Field programmable gate arrays Power dissipation signal processing

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Discriminant Component Analysis and Self-Organized Manifold Mapping for Exploring and Understanding Image Face Spaces

Discriminant Component Analysis and Self-Organized Manifold ...

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Tutorials of the Brazilian Symposium on computer Graphics and Image Processing (SIBGRAPI TUTORIALS)

作者： Gilson A. Giraldi Edson C. Kitani Emilio Del-Moral-Hernandez Carlos E. Thomaz Department of Computer Science National Laboratory for Scientific Computing Petropolis Brazil Polytechnic School University of São Paulo Sao Paulo Brazil Department of Electrical Engineering Centro Universitario da FEI Sao Bernardo do Campo Brazil

Face recognition is a multidisciplinary field that involves subjects in neuroscience, computer science and statistical learning. Some recent research in neuroscience has indicated that the ability of our memory relies on the capability of orthogonalizing (pattern separation) and completing (pattern prototyping) partial patterns in order to encode, store and recall information. From a computational viewpoint, pattern separation can be cast in the subspace learning area while pattern prototyping is closer to manifold learning methods. So, subspace (or manifold) learning techniques have a close biological inspiration and reasonability in terms of computational methods to possibly exploring and understanding the human behavior of recognizing faces. Therefore, the aim of this paper is threefold. Firstly, we review some theoretical aspects about perceptual and cognitive processes related to the mechanisms of pattern separation and pattern prototyping. Then, the paper presents the basic idea of manifold learning and its relationship with subspace learning with focus on the dimensionality reduction problem. Finally, we present the Discriminant Principal Component Analysis (DPCA) and the Self-Organized Manifold Mapping (SOMM) algorithm to exemplify respectively pattern separation and completion techniques. We show experimental results to demonstrate the effectiveness of DPCA and SOMM algorithms on well-framed face image analysis.

关键词： Manifolds Humans Face recognition Vectors Support vector machines Neurons Principal component analysis

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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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Robust principal component analysis?

Robust principal component analysis?

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作者： Candès, Emmanuel J. Li, Xiaodong Ma, Yi Wright, John Departments of Mathematics and Statistics Stanford University Building 380 450 Serra Mall Stanford CA 94305 United States Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign 145 Coordinated Science Laboratory 1308 West Main Street Urbana IL61801 United States Visual Computing Group Microsoft Research Asia Building 2 No. 5 Dan Ling Street Beijing 100080 China

This article is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component individually? We prove that under some suitable assumptions, it is possible to recover both the low-rank and the sparse components exactly by solving a very convenient convex program called Principal Component Pursuit;among all feasible decompositions, simply minimize a weighted combination of the nuclear norm and of the l1 norm. This suggests the possibility of a principled approach to robust principal component analysis since our methodology and results assert that one can recover the principal components of a data matrix even though a positive fraction of its entries are arbitrarily corrupted. This extends to the situation where a fraction of the entries are missing as *** discuss an algorithm for solving this optimization problem, and present applications in the area of video surveillance, where our methodology allows for the detection of objects in a cluttered background, and in the area of face recognition, where it offers a principled way of removing shadows and specularities in images of faces. © 2011 ACM.

关键词： Face recognition

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Neurological rehabilitation of stroke patients via motor imaginary-based brain-computer interface technology

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Neural Regeneration Research 2011年第28期6卷 2198-2202页

作者： Hongyu Sun Yang Xiang Mingdao Yang Department of Computer Science and Technology Tongji University Shanghai 201804 China College of Information and Electrical Engineering Shandong University of Science and Technology China Key Laboratory of Embedded System and Service Computing Ministry of Education of the People＇s Republic of China Tongji University Shanghai 201804 China Qingdao Economic ＆ Technical Development Area First People＇s Hospital Qingdao 266555 Shangdong Province China

The present study utilized motor imaginary-based brain-computer interface technology combined with rehabilitation training in 20 stroke patients. Results from the Berg Balance Scale and the Holden Walking Classification were significantly greater at 4 weeks after treatment （P 〈 0.01）, which suggested that motor imaginary-based brain-computer interface technology improved balance and walking in stroke patients.

关键词： brain-computer interface motor cortex neuronal plasticity rehabilitation stroke neural regeneration

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M-Polar: Channel allocation for throughput maximization in SDR mesh networks

M-Polar: Channel allocation for throughput maximization in S...

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IEEE INFOCOM 2010

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

ISBN: (纸本)9781424458363

In traditional wireless networks, nodes use only a single channel per radio interface, thus limiting the overall channel diversity of the network. This restriction is due to the inherent limitations of commercially-available RF devices. With the advent of high-bandwidth software-defined radios (SDRs), we now have the option of assigning multiple contiguous, independent channels to a single wireless interface. This new-found opportunity raises an important question: how do we assign contiguous channels to nodes in order to maximize overall network throughput? This question lies at the often-ignored intersection of single-radio-multi-channel and multi-radio-multi-channel assignment schemes. In this paper, we develop a protocol that assigns contiguous channels with the goal of evenly spreading the load across the multiple channels. Neighboring nodes greedily adjust their channel ranges according to channel conditions to achieve an overall pattern of partially-overlapping bandwidths that maximizes the network throughput. The end-result is a network that can dynamically adapt its bandwidth usage to the network load and the conditions of the different channels. The proposed protocol is evaluated with a prototype built upon the USRP as well as with detailed simulation. ©2010 IEEE.

关键词： Bandwidth

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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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