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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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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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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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9th International Conference on Intelligent computing, ICIC 2013

作者： Wang, Bing Ji, Zhiwei Advanced Research Institute of Intelligent Sensing Network Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China School of Electronics and Information Engineering Tongji University Shanghai 201804 China

ISBN: (纸本)9783642394812

The development of novel high-throughput experimental techniques makes it possible to comprehensively analyze biological data in health and disease. However, a large amount of data generated results in dramatic data-analytic challenges in discovery of 'signature' molecules, which are specific to different biological conditions (e.g. normal vs. disease, treated vs. untreated). Current statistical methods are effective only in the case their hypothesis can be matched. In this paper, we apply an ensemble statistical method to infer significant molecules. In our approach, four well-done and well-understanding statistical techniques had been used for the analysis to the experimental data, and then the results will be collected into an ensemble framework to find the high confident "significant" molecules which can distinguish the different experimental conditions. We evaluate the performance of our approach on a test dataset which deposited on GEO database with an access number of GSE45114. © 2013 Springer-Verlag.

关键词： Molecules

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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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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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C2G2FSnake: automatic tongue image segmentation utilizing prior knowledge

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Science China(Information Sciences) 2013年第9期56卷 154-167页

作者： SHI MiaoJing LI GuoZheng LI FuFeng The Key Laboratory of Embedded System and Service Computing Ministry of Education Department of Control Science and Engineering Tongji University Laboratory of Information Access and Synthesis of TCM Four Diagnosis Shanghai University of Traditional Chinese Medicine

Extraction of the tongue body from digital images is essential for automated tongue diagnoses in traditional Chinese medicine. This paper presents a fully automated active contour initial method that utilizes prior knowledge of the tongue shape and its location in tongue images. Then colorspace information is introduced to control curve evolution. Combining the geometrical Snake model with the parameterized GVFSnake model, a novel approach for automatic tongue segmentation: C2G2FSnake (color control-geometric & gradient flow Snake) is proposed. This method increases the curve velocity but decreases the complexity. C2G2FSnake greatly extends practical usage to tongue segmentation, at the same time increasing the precision. Compared with other state-of-the-art works using different images of tongue color, C2G2FSnake realizes automatic tongue segmentation with greatly improved accuracy.

关键词： tongue diagnosis tongue segmentation color space-control Snake parameterized Snake geomet- ric Snake

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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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Impact of the Next-Nearest-Neighbor Interaction on Traffic Flow of Highway with Slopes

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Communications in Theoretical Physics 2012年第10期58卷 590-598页

作者：李志鹏周盈 The Key Laboratory of Embedded System and Service Computing supported by Ministry of Education Tongji University

In this paper,we study the motion course of traffic flow on the slopes of a highway by applying a microscopic traffic model,which takes into account the next-nearest-neighbor interaction in an intelligent transportation system *** common gradients of the highway,which are sag terrain,uphill terrain,and downhill terrain on a single-lane roadway,are selected to clarify the impact on the traffic flow by the next-nearest-neighbor interaction in relative *** obtain the current-density relation for traffic flow on the sag,the uphill and the downhill under the next-nearest-neighbor interaction *** is observed that the current saturates when the density is greater than a critical value and the current decreases when the density is greater than another critical *** the density falls into the intermediate range between the two critical densities it is also found that the oscillatory jam,easily leads to traffic accidents,often appears in the downhill stage,and the next-nearest-neighbor interaction in relative velocity has a strong suppressing effect on this kind of dangerous congestion.A theoretical analysis is also presented to explain this important conclusion.

关键词： traffic flow traffic jam next-nearest-neighbor interaction

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Sensor data quality assessment for building simulation model calibration based on automatic differentiation

Sensor data quality assessment for building simulation model...

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

作者： Li, Sisi Song, Zhen Zhou, Mengchu Lu, Yan 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 Department of Automation and Control Siemens Corporation Corporate Technology Princeton NJ 08540 United States

ISBN: (纸本)9781479915156

Building simulation models play a vital role in optimal building climate control, energy audit, fault detection and diagnosis, continuous commissioning, and planning. Real system parameters are often unknown or partially unknown and need to be identified through historical data, which are currently acquired by heuristically designed experiments. Without quality sensor data, model calibration is prone to fail, even if the calibration algorithm is appropriate. In this paper, we propose a Fisher-information-matrix (FIM)-based metric to examine the sensor data measurements and how their quality is related to the model calibration quality. It aims to provide quantitative guidance in the calibration cycle of a whole building model that takes as many variables as possible into consideration for the sake of accuracy. Our concerned model is based on well-known physical laws and tries to avoid simplification, thereby leading to a highly discontinuous system with model switches due to the seasonal or daily variation and other reasons. Such a model is implemented in the form of a software package. Hence, no explicit mathematical expression can be given. A key technical challenge is that the complexity of the model prohibits the analytical derivation of FIM, while the numeric calculation is sensitive to sensor noise and model switches. We, hence, propose to adopt an automatic differentiation method, which exploits the operator overload feature of object oriented programming language, for robust numerical FIM calculation. © 2013 IEEE.

关键词： Numerical methods

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