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IEEE Conference on Technologies for Homeland Security

作者： Arihant Kochhar Divyesh Gupta Madasu Hanmandlu Shantaram Vasikarla Dept. of Computer Science Columbia University New York NY Dept. of Control and Inst. N. S. Institute of Technology New Delhi India Dept. of Electrical Engineering Indian Institute of Technology New Delhi India Dept. of Computer Science California State University Northridge CA

Gait recognition has lately attracted the attention of a plethora of computer vision and biometric systems researchers. It offers advantages like non-invasiveness, data acquisition from a distance and low resolution. The geometric area between the limbs derived from the spatial-temporal silhouettes serves as an effective feature that is capable of differentiating subjects. Both model-based and model-free approaches are tried while extracting features for the gait recognition. Support Vector Machine (SVM) classifier is used for training the features from silhouettes of the known gaits and identifying the unknown gaits based on the same features. Experimentation on the silhouette samples of publicly available CASIA database vindicates the supremacy of the model based approach over the model free approach.

关键词： Feature extraction Support vector machines Legged locomotion Gait recognition Biological system modeling Shape Analytical models

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High order lambda measure based choquet integral composition forecasting model

High order lambda measure based choquet integral composition...

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2nd International Conference on engineering and technology Innovation 2012, ICETI 2012

作者： Liu, Hsiang-Chuan Chen, Wei-Sung Shia, Ben-Chang Lee, Chia-Chen Ou, Shang-Ling Ou, Yih-Chang Su, Chih-Hsiung Dept. of Biomedical Informatics Asia University Taichung 41354 Taiwan Dept. of Computer Science and Information Engineering Asia University Taichung 41354 Taiwan Dept. of Statistics and Information Science Fu Jen Catholic University New Taipei 24205 Taiwan Dept. of Statistics Xiamen University China Dept. of Agronomy National Chung Hsing University Taichung 40227 Taiwan Dept. of Finance Ling Tung University Taichung 40852 Taiwan Dept. of Accounting Information ChihLee Institute of Technology New Taipei 22050 Taiwan

ISBN: (纸本)9783037856123

In this paper, a novel fuzzy measure, high order lambda measure, was proposed, based on the Choquet integral with respect to this new measure, a novel composition forecasting model which composed the GM(1,1) forecasting model, the time series model and the exponential smoothing model was also proposed. For evaluating the efficiency of this improved composition forecasting model, an experiment with a real data by using the 5 fold cross validation mean square error was conducted. The performances of Choquet integral composition forecasting model with the P-measure, Lambda-measure, L-measure and high order lambda measure, respectively, a ridge regression composition forecasting model and a multiple linear regression composition forecasting model and the traditional linear weighted composition forecasting model were compared. The experimental results showed that the Choquet integral composition forecasting model with respect to the high order lambda measure has the best performance. © (2013) Trans Tech Publications, Switzerland.

关键词： Multiple linear regression

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Power electronics education using the integrated circuit consistent education system and TCAD 43rd

Power electronics education using the integrated circuit con...

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Frontiers in Education (FIE) Conference

作者： Keisuke Konishi Takeshi Tanaka Tetsushi Koide Hiroshima Inst. of Technology Graduate School of Science and Technology Hiroshima Japan Dept. of Electronics and Computer Engineering Hiroshima Inst. of Technology Hiroshima Japan Hiroshima University Research Institute for Nanodevice and Bio Systems Higashi-Hiroshima Japan

ISBN: (纸本)9781467352598

In this study, we perform a device evaluation from trial device production (a computer simulation) using technology CAD (TCAD) in an integrated circuit consistent education system, which consists of a series of processes: system design, semiconductor process, trial device production, and device evaluation. By changing the device parameters (kinds of material, film thickness, impurities density) of the semiconductor process, the simulation can more closely approximate the electrical property of the desired target performance. By integrating the simulation technology using TCAD with each piece of knowledge mastered by the integrated circuit consistent education system, which is currently under development, we are able to construct an education system that can be mastered not only for an integrated circuit for information processing but also for the semiconductor process and the global perspective of the device structure in a power device. Furthermore, the possibility of applicability to a new device structure and process development is shown by means of a simulation using TCAD in virtual processing conditions.

关键词： Logic gates Design automation Gallium nitride Silicon Photonic band gap Electric breakdown Thermal conductivity

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Step-by-step cyclic processes scheduling

Step-by-step cyclic processes scheduling

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11th IFAC Workshop on Intelligent Manufacturing Systems, IMS 2013

作者： Bocewicz, G. Nielsen, I. Banaszak, Z. Dept. of Computer Science and Management Koszalin University of Technology Sniadeckich 2 75-453 Koszalin Poland Department of Mechanical and Manufacturing Engineering Aalborg University Aalborg East Denmark Dept. of Business Informatics Warsaw University of Technology Narbutta 85 02-524 Warsaw Poland

ISBN: (纸本)9783902823335

Automated Guided Vehicles (AGVs) fleet scheduling is one of the big problems in Flexible Manufacturing System (FMS) control. The problem is more complicated when concurrent multi-product manufacturing and resource deadlock avoidance policies are considered. The objective of the research is to provide a declarative model enabling to state a constraint satisfaction problem aimed at AGVs fleet scheduling subject to assumed itineraries of concurrently manufactured product types. In other words, assuming a given layout of FMS's material handling and production routes of simultaneously manufactured orders, the main objective is to provide the declarative framework aimed at conditions allowing one to calculate the AGVs fleet schedule in online mode. An illustrative example of the relevant algebra-like driven step-by-stem cyclic scheduling is provided. © 2013 IFAC.

关键词： Scheduling

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A study on VLSI architectures of lifting based discrete wavelet transform

A study on VLSI architectures of lifting based discrete wave...

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International Conference on Advanced Computing and Communication Systems (ICACCS)

作者： K. Indira Devi R. Shanmugalakshmi Dept. of Electrical & Electronics Engg Sri Shakthi Inst. of Engg & Tech. Coimbatore Tamilnadu India Dept. of Computer Science & Engineering/IT Government College of Technology Coimbatore Tamilnadu India

To implement new algorithm assessing the previous work is an important part of system. The aim of this paper is to give a review of VLSI architectures for efficient methods for the implementation of DWT through Lifting schemes. The lifting scheme has wide applications and advantages over the DWT. Filters are complicated because of much number of multipliers. As multiplier decide the critical computation time and power dissipation of a signal processing architecture, designing of high throughput and power efficient multiplier is a major challenge. To reduce the complexity of the architecture and to increase the performance of the system this study will deriving an efficient method.

关键词： Discrete wavelet transforms Finite impulse response filters Image coding computer architecture Filter banks

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Rumor Dynamics and Inoculation of Nodes in Weighted Scale Free Networks with Degree-Degree Correlation

Rumor Dynamics and Inoculation of Nodes in Weighted Scale Fr...

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International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： Anurag Singh Yatindra Nath Singh Computer Science and Engineering Discipline PDPM Indian Institute of Information Technology Jabalpur India Dept. of Electr. Eng. Indian Inst. of Technol. Kanpur Kanpur India

The degree-degree correlation has considerable effect in the real world networks. In the classic rumor spreading model also known as susceptible-infected-refractory (SIR) model, all the edges have uniform tie strength between the nodes. Therefore, for the real world complex networks, SIR model need to be modified to consider the dependence of rumor spread rate on the weight based on the tie strength between the nodes. Main objective of this work is to study the effect of degree-degree correlation on the rumor spreading and on the effectiveness of inoculation strategies in the real world networks. The weight of edges, node strength and degree degree correlation affect the threshold for rumor spreading. The weight of an edge between two nodes is proportional to (k i k j ) β , where k i and k j are degrees of node i and j. By using the exponent β in any degree-degree correlated scale free network, rumor threshold turns out to be some finite value. It was not observed in the previous models. Inoculation of a certain fraction of nodes against rumors is required to control the rumor spread. The inoculation of nodes is done randomly or in targeted fashion. It has been observed that rumor threshold in random inoculation scheme is greater than the rumor threshold in the model without any inoculation scheme. In targeted inoculation scheme, rumor threshold for correlated networks is found to be larger than the threshold in uncorrelated networks. But random inoculation is not much effective. It is found that degree-degree correlation in real world networks does not play any role in increasing the effectiveness of random inoculation. However, it is not true for targeted inoculation. The proposed hypothesis has also been verified by simulation results.

关键词： Correlation Complex networks Topology Sociology Social network services

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A self-organized, service-oriented GMPLS optical network testbed

A self-organized, service-oriented GMPLS optical network tes...

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8th International ICST Conference on Testbeds and Research Infrastructures: Development of Networks and Communities, TridentCom 2012

作者： Siokis, Apostolis Vlachos, Kyriakos Computer Engineering and Informatics Dept. Computer Technology Institute and Press University of Patras GR26500 Rio Patras Greece

ISBN: (纸本)9783642355752

In this paper, we detail the implementation of a self-organized GMPLS network using the DRAGON software suite to introduce service awareness in a GMPLS network. DRAGON daemon has been extended to support anycast routing to allow forwarding user (service) requests to the most suitable servers based on their advertised service attributes. Furthermore, OSPF daemon has been also extended to allow for these advertisements to propagate through the network and modify shortest paths based on these service attributes that can be network (i.e. bandwidth, delay etc) and non-network (storage capacity, CPU units, availability etc) resources. © 2012 ICST institute for computer Science, Social informatics and Telecommunications engineering.

关键词： Network routing

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A science cloud for data intensive sciences

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Data Science Journal 2013年第Special Issue期12卷 WDS139-WDS146页

作者： Murata, Ken T. Watari, Shinichi Nagatsuma, Tsutomu Kunitake, Manabu Watanabe, Hidenobu Yamamoto, Kazunori Kubota, Yasufumi Kato, Hisao Tsugawa, Takuya Ukawa, Kentaro Muranaga, Kazuya Kimura, Eizen Tatebe, Osamu Fukazawa, Keiichiro Murayama, Yasuhiro 4-2-1 Nukui-kita Koganei Tokyo 184-8795 Japan Systems Engineering Consultants Co. Ltd. 4-10-1 Yoga Setagaya Tokyo 158-0097 Japan Dept. Medical Informatics of Medical School of Ehime Univ. Situkawa Toon City Ehime 791-0295 Japan Dept. Computer Science Univ. of Tsukuba Tenoudai 1-1-1 Tsukuba Science City Ibaraki 305-8573 Japan Research Institute for Information Technology Kyushu University 6-10-1 Hakozaki Higashi-Ku Fukuoka 812-8581 Japan Integrated Science Data System Research Lab NICT 4-2-1 Nukui-kita Koganei Tokyo 184-8795 Japan

It is often discussed that the fourth methodology for science research is "informatics". The first methodology is a theoretic approach, the second one is observation and/or experiment, and the third one is computer simulation. informatics is a new methodology for data intensive science, which is a new concept based on the fact that most scientific data are digitalized and the amount of data is huge. The facilities to support informatics are cloud systems. Herein we propose a cloud system especially designed for science. The basic concepts, design, resources, implementation, and applications of the NICT science cloud are discussed.

关键词： Digital storage

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Fast robustness estimation in large social graphs: Communities and anomaly detection

Fast robustness estimation in large social graphs: Communiti...

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12th SIAM International Conference on Data Mining, SDM 2012

作者： Malliaros, Fragkiskos D. Megalooikonomou, Vasileios Faloutsos, Christos Dept. of Computer Engineering and Informatics University of Patras Rio Greece Dept. of Computer Engineering and Informatics Center for Information Science and Technology University of Patras Rio PA Greece School of Computer Science Carnegie Mellon University PA United States

ISBN: (纸本)9781611972320

Given a large social graph, like a scientific collaboration network, what can we say about its robustness? Can we estimate a robustness index for a graph quickly? If the graph evolves over time, how these properties change? In this work, we are trying to answer the above questions studying the expansion properties of large social graphs. First, we present a measure which characterizes the robustness properties of a graph, and serves as global measure of the community structure (or lack thereof). We study how these properties change over time and we show how to spot outliers and anomalies over time. We apply our method on several diverse real networks with millions of nodes. We also show how to compute our measure efficiently by exploiting the special spectral properties of real-world networks. Copyright © 2012 by the Society for Industrial and Applied Mathematics.

关键词： Data mining

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Text mining in negative relevance feedback

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Web Intelligence and Agent Systems 2012年第2期10卷 151-163页

作者： Algarni, Abdulmohsen Li, Yuefeng Wu, Sheng-Tang Xu, Yue School of Electrical Engineering and Computer Science Faculty of Science and Engineering Queensland University of Technology Brisbane QLD 4001 Australia Dept. of Applied Informatics and Multimedia Asia University Taichung Taiwan

It is a big challenge to clearly identify the boundary between positive and negative streams. Several attempts have used negative feedback to solve this challenge;however, there are two issues for using negative relevance feedback to improve the effectiveness of information filtering. The first one is how to select constructive negative samples in order to reduce the space of negative documents. The second issue is how to decide noisy extracted features that should be updated based on the selected negative samples. This paper proposes a pattern mining based approach to select some offenders from the negative documents, where an offender can be used to reduce the side effects of noisy features. It also classifies extracted features (i.e., terms) into three categories: positive specific terms, general terms, and negative specific terms. In this way, multiple revising strategies can be used to update extracted features. An iterative learning algorithm is also proposed to implement this approach on RCV1, and substantial experiments show that the proposed approach achieves encouraging performance. © 2012 - IOS Press and the authors. All rights reserved.

关键词： Information filtering

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