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4th International Conference on Advances in Swarm Intelligence, ICSI 2013

作者： Gu, Lei Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing 210023 China

ISBN: (纸本)9783642387142

The clustering method based on one-class support vector machine has been presented recently. Although this approach can improve the clustering accuracies, it often gains the unstable clustering results because some random datasets are employed for its initialization. In this paper, a novel initialization method based on the core clusters is used for the clustering algorithm based one-class support vector machine. The core clusters are gained by constructing the neighborhood graph and they are regarded as the initial datasets of the clustering algorithm based one-class support vector machine. To investigate the effectiveness of the proposed approach, several experiments are done on four datasets. Experimental results show that the new presented method can improve the clustering performance compared to the previous clustering algorithm based on one-class support vector machine and k-means approach. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Support vector machines

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An evolutionary semi-supervised subtractive clustering method by seeding

An evolutionary semi-supervised subtractive clustering metho...

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2012 International Conference on Information technology and Software Engineering, ITSE 2012

ISBN: (纸本)9783642345210

A semi-supervised subtractive clustering has been proposed recently. However, it performance depends greatly on the choice of the parameters of the mountain function and only proper parameters enable the clustering method to produce a better effect. In this paper, an evolutionary semi-supervised subtractive clustering method by seeding is presented. The novel approach uses the genetic algorithms for tuning the relative parameters of the subtractive clustering by minimizing the Davies Bouldin clustering validity index regarded as the fitness function. To investigate the effectiveness of our approach, several experiments are done three real datasets. Experimental results show that our proposed method can improve the clustering performance significantly compared to other two traditional semi-supervised clustering algorithms. © 2013 Springer-Verlag.

关键词： Genetic algorithms

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Two-dimensional color uncorrelated principal component analysis for feature extraction with application to face recognition

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2012 International Conference on service-Oriented computing, ICSOC 2012

作者： Zhao, Cairong Miao, Duoqian Department of Computer Science and Technology Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai 7201804 China Ministry of Education Nanjing 210094 China

ISBN: (纸本)9783319029603

This paper proposes a two-dimensional color uncorrelated principal component analysis algorithm(2DCUPCA) for unsupervised subspace learning directly from color face images. The 2DCUPCA can be used to explore uncorrelated properties among color-based features, which contain minimum redundancy and ensure linear independence among features. Furthermore, the proposed 2DCUPCA provided the theoretical foundations analysis and proved the uncorrelated property between color-based features in theory. This makes it sure that the extracted features directly from three color image matrices will be uncorrelated. Finally, experimental results on the AR and FRGC-2 color face databases show that 2DCUPCA achieves better recognition performance than other color face recognition methods. © Springer International Publishing 2013.

关键词： Principal component analysis

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Model predictive control for HVAC systems - A review

Model predictive control for HVAC systems - A review

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2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

作者： Kwadzogah, Roger Zhou, Mengchu Li, Sisi Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07013 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

ISBN: (纸本)9781479915156

The world faces an energy problem. Oil supply is gradually running out. Its use is polluting the planet with greenhouse gas. Most alternative energy sources also pose some environmental problems. Hence the efficient use of energy must be an integral part of any solution to them. Whenever possible, one must use advanced control engines and technologies to achieve the highest energy efficiency. In Heating Ventilation and Air Conditioning (HVAC) industry, much research has identified a number of energy-saving control methods. Derived from optimal control theory, Model Predictive Control (MPC) is one of them. This paper presents a comprehensive review of its applications to HVAC systems. © 2013 IEEE.

关键词： Model predictive control

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Predictive Control for Visual Servo Stabilization of Nonholonomic Mobile Robots

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自动化学报 2013年第8期39卷 1238-1245页

作者： CAO Zheng-Cai YIN Long-Jie FU Yi-Li LIU Tian-Long College of Information Science and Technology Beijing University of Chemical TechnologyBeijing 100029China Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji UniversityShanghai 201804China State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150080China

活动机器人获得了的 nonholonomic 的视觉伺服稳定广泛的注意。当前，这个问题的解决方案不管多么不认为可见性限制和致动器是限制，因此设计控制器是困难的在实际申请认识到令人满意的性能。在这份报纸，为一个活动机器人的视觉伺服稳... 详细信息

活动机器人获得了的 nonholonomic 的视觉伺服稳定广泛的注意。当前，这个问题的解决方案不管多么不认为可见性限制和致动器是限制，因此设计控制器是困难的在实际申请认识到令人满意的性能。在这份报纸，为一个活动机器人的视觉伺服稳定的一个预兆的控制器被介绍。第一，利用产生速度的命令的一个运动学的预兆的稳定控制器被介绍。然后，来临以便 asymptotically 做活动机器人的实际速度到需要的，一个动态预兆的控制器被设计。建议预兆的控制器能容易处理限制。最后，几模拟被执行，并且结果说明建议控制计划是有效的解决视觉伺服稳定问题。

关键词：非完整移动机器人稳定化控制器预测控制器视觉伺服生成速度运动预测稳定问题控制方案

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Cluster synchronization of nonlinearly coupled networks via periodically intermittent pinning control

Cluster synchronization of nonlinearly coupled networks via ...

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Chinese Control Conference (CCC)

作者： Xiwei Liu Jiujun Cheng Department of Computer Science and Technology the Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Department of Computer Science and Technology the Key Laboratory of Embedded System Service Computing Shanghai China

In this paper, the cluster synchronization problem for nonlinearly coupled networks under periodically intermittent pinning control is studied. At first, a sufficient condition to guarantee cluster synchronization is presented. Next, an adaptive intermittent control algorithm is designed to the control strength and its validity is rigorously proved. Finally, some numerical examples are presented to demonstrate the correctness of obtained theoretical results.

关键词： Synchronization Couplings Symmetric matrices Adaptive systems Educational institutions Equations Neural networks

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Fast mode decision based on optimal stopping theory for multiview video coding

Fast mode decision based on optimal stopping theory for mult...

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19th International Conference on Advances in Multimedia Modeling, MMM 2013

作者： Wang, Hanli Heng, Yue Zhao, Tiesong Xiao, Bo Department of Computer Science and Technology Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China Department of Electrical and Computer Engineering University of Waterloo Waterloo ON Canada

ISBN: (纸本)9783642357275

Optimal stopping theory is developed to achieve a good trade-off between decision performance and decision efforts such as the consumed decision time. In this paper, the optimal stopping theory is applied to fast mode decision for multiview video coding in order to reduce the tremendous encoding computational complexity, with the benefit of theoretical decision-making expectation and predictable decision performance. The characteristics of encoding modes in multiview video coding are studied to derive an optimal stopping theory-based model to early terminate mode decision and thus a fast mode decision algorithm is designed. Extensive experimental results demonstrate that the proposed algorithm can save a great amount of encoding time for multiview video coding and meanwhile keep the compression performance more or less intact. © Springer-Verlag 2013.

关键词： Decision making

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Evaluating feedback systems for residential building energy monitoring

Evaluating feedback systems for residential building energy ...

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2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

作者： Guo, Wenqi Wendy Ullah, Tania Zhou, Mengchu National Institute of Standards and Technology Gaithersburg MD 20899 United States ECE Dept. New Jersey Institute of Technology Newark NJ 07102 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

ISBN: (纸本)9781479915156

Rising global energy demand, increasing electricity prices, and the limitation of natural resources have led to increased interest in energy monitoring of residential buildings. Much research has been done to examine the effect of energy use feedback to building occupants. An important step towards energy awareness is to provide timely and finegrained consumption information of major household energy expenditures through feedback systems, known as residential energy monitoring systems (REMS). To accomplish this, researchers and product designers are intent on improving the residential whole-building energy consumption estimates gained through sensor networks at homes. Additionally, profiling the usage of appliances and devices within a home can be used to determine an occupant's daily activities and to optimize energy consumption. In this work, we take a step toward creating an evaluation procedure for REMS by determining factors that affect their ability to accurately convey energy usage to occupants. Two feedback sensor systems are assessed in a testbed in which electrical loads typical to a home are operated. Preliminary tests show that the accuracy of the REMS measurement is dependent on an electrical load's power factor. Together with other findings, the results will assist researchers in forming a comprehensive test procedure that will characterize feedback systems in the future. © 2013 IEEE.

关键词： Sensor networks

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A comprehensive QoS determination model for Infrastructure-as-a-service clouds

A comprehensive QoS determination model for Infrastructure-a...

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2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

作者： Xia, Yunni Zhou, Mengchu Luo, Xin Zhu, Qingsheng Software Theory and Technology Chongqing Key Lab Chongqing University Chongqing 400030 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States

ISBN: (纸本)9781479915156

Cloud computing is a recently developed new technology for complex systems with massive service sharing, which is different from the resource sharing of the grid computing systems. In a cloud environment, service requests from users go through numerous provider specific steps from the instant it is submitted to when the service is fully delivered. Quality modeling and analysis of clouds are not easy tasks because of the complexity of the provisioning mechanism and the dynamic cloud environment. This study proposes an analytical modelbased approach for quality evaluation of Infrastructure-as-a-service cloud and consider expected request completion time, rejection probability, and system overhead rate as key QoS metrics. It also features with the modeling of different warming and cooling strategies of machines and the ability to identify the optimal balance between system overhead and performance. © 2013 IEEE.

关键词： Quality control

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LBRM algorithm for rule extraction based on rough membership

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2013 3rd International Symposium on Chemical Engineering and Material Properties, ISCEMP 2013

作者： Zhang, Xian Yong Miao, Duo Qian College of Mathematics and Software Science Sichuan Normal University Chengdu Sichuan 610068 China Department of Computer Science and Technology Tongji University Shanghai 201804 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

ISBN: (纸本)9783037858363

Rule extraction is a main goal for rough set theory. This paper mainly constructs a new algorithm (LBRM Algorithm) for rule extraction based on rough membership. The confidence principle is established based on rough membership. Thus, LBRM Algorithm is proposed by utilizing discretization and clearness strategies under the fuzzy environment, and is applied to both interval rules and general rules in fuzzy classification. LBRM Algorithm effectiveness is illustrated by a medical example. In particular, LBRM Algorithm integrates the confidence on both previous LBR Algorithm and fundamental rough membership, and has some improvements on rule confidence. © (2013) Trans Tech Publications, Switzerland.

关键词： Rough set theory

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