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

作者： Hu, Hesuan Zhou, Mengchu Liu, Yang School of Electro-mechanical Engineering Xidian University Xi'an Shaanxi 710071 China School of Computer Engineering Nanyang Technological University Singapore 639798 Singapore 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

Behavior management and performance evaluation are two significant issues in the design and operation of automated manufacturing systems (AMS). The former constrains their dynamics so as to avoid improper behavior and eliminate downtime, while the latter aims to evaluate cycle time. Although abundant research has been conducted on each issue independently, researchers rarely address both in a correlative way. Without accurate and prompt guidance to route parts, it is difficult for an AMS to manage the production process in an optimal manner. In the paradigm of Petri nets, we show that it is crucial to optimize certain local priorities for the sake of cycle time minimization or throughput maximization. Without making radical changes to the system structure, our method can well design some control parameters in order to meet system performance requirement. An algorithm of polynomial complexity is presented to derive supervisory controllers, if existing, to improve system performance. © 2013 IEEE.

关键词： Petri nets

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Scheduling of time constrained dual-arm cluster tools with wafer revisiting

Scheduling of time constrained dual-arm cluster tools with w...

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

作者： Qiao, Yan Wu, Naiqi Zhou, Mengchu Department of Industrial Engineering School of Electro-Mechanical Engineering Guangdong University of Technology Guangzhou 510006 China Macau University of Science and Technology 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 07102-1982 United States

ISBN: (纸本)9781479915156

This work intends to schedule a dual-arm cluster tool for the atomic layer deposition (ALD) process with wafer residency time constraints. ALD is a typical wafer revisiting process. Based on the analysis of system properties, a novel scheduling strategy called modified 1-wafer cyclic scheduling is derived. With this strategy, necessary and sufficient schedulability conditions are established. If schedulable, scheduling algorithms are presented to obtain a feasible and optimal schedule. By the proposed method, a schedule can be found by just simple calculation. An illustrative example is given to show the application of the proposed approach. © 2013 IEEE.

关键词： Atomic layer deposition

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Predictive Control for Visual Servo Stabilization of Nonholonomic Mobile Robots

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Acta Automatica Sinica 2013年第8期39卷 1238-1245页

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

Visual servo stabilization of nonholonomic mobile robots has gained extensive attention. However, currently, the solution of the problem does not consider both the visibility constraints and the actuator limitations, so the designed controller is difficult to realize satisfactory performance in practical application. In this paper, a predictive controller for the visual servo stabilization of a mobile robot is presented. Firstly, a kinematic predictive stabilization controller utilized to generate the command of velocity is introduced. Then, in order to make the actual velocity of the mobile robot asymptotically approach to the desired one, a dynamic predictive controller is designed. The proposed predictive controller can deal with the constraints easily. Finally, several simulations are performed, and the results illustrate that the proposed control scheme is effective to solve the visual servo stabilization problem.

关键词： Nonholonomic mobile robots visual servo stabilization predictive control constraints

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Neighborhood Rough Sets based Multi-Label classification

Neighborhood Rough Sets based Multi-Label classification

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Ying Yu Witold Pedrycz Duoqian Miao Hongyun Zhang Tongji University Shanghai Shanghai CN University of Alberta Edmonton AB CA Department of Computer Science and Technology Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China

ISBN: (纸本)9781479903467

Nowadays, multi-label classification methods are of growing interest. Due to the relationships among the labels, traditional single-label classification methods are not directly applicable to the multi-label classification problem. This paper presents a novel multi-label classification framework based on the variable precision neighborhood rough sets, called Multi-Label classification using Rough Sets (MLRS) which considers the impact of correlation among the labels and the uncertainty that exists in the mapping between the feature space and label space. A series of experiments reported for seven multi-label datasets show that MLRS achieves promising performance when compared with some famous multi-label learning algorithms.

关键词： Classification algorithms Rough sets Training Testing Approximation methods Uncertainty Prediction algorithms

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Evaluating feedback systems for residential building energy monitoring

Evaluating feedback systems for residential building energy ...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Wenqi Wendy Guo Tania Ullah MengChu Zhou National Institute of Standards and Technology Gaithersburg MD USA ECE Dept. New Jersey Institute of Technology Newark NJ USA The Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China

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.

关键词： Reactive power Monitoring Buildings Power measurement Home appliances Energy consumption Measurement errors

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$\varepsilon$-Constraint and Fuzzy Logic-Based Optimization of Hazardous Material Transportation via Lane Reservation

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IEEE Transactions on Intelligent Transportation systems 2013年第2期14卷 847-857页

作者： Zhen Zhou Feng Chu Ada Che MengChu Zhou Computing Integrative Biology and Complex Systems Laboratory University of Evry-Val dEssonne Evry France School of Management Northwestern Polytechnical University Xian China Key Laboratory of Embedded System and Service Computing of Ministry of Education Tongji University Shanghai China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

With economic development, a great amount of hazardous material is shipped in the transport network every day. Hazardous material transportation is well known for its high potential risk. An accident can cause very serious economic damage and will have a negative impact on public health and the environment over the long term. Transporting hazardous materials on special lanes can reduce the risk. However, a lane reservation strategy may worsen traffic conditions for other vehicles. This paper investigates a hazardous material transportation problem with lane reservation. The problem lies in how to choose lanes to be reserved in the network and select the path for each hazardous material shipment from the reserved lanes. The goal is to obtain the best compromise between the impact on normal traffic and the transportation risk. A multiobjective integer programming model is presented for the new problem. Then, an algorithm is developed based on the ε -constraint method and a fuzzy-logic-based approach. Pareto optimal solutions are obtained by the former, and a preferred solution is selected by the fuzzy-logic-based approach. Computational results demonstrate the efficiency of the proposed algorithm using an instance based on a real network topology and randomly generated instances.

关键词： Hazardous materials Accidents Roads Linear programming Vectors Optimization

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Petri net modeling and one-wafer scheduling of single-arm multi-cluster tools

Petri net modeling and one-wafer scheduling of single-arm mu...

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

作者： Zhu, Qinghua Wu, Naiqi Qiao, Yan Zhou, Mengchu School of Computer Guangdong University of Technology Guangzhou 510006 China Macau University of Science and Technology China Department of Industrial Engineering School of Electro-Mechanical Engineering Guangdong University of Technology Guangzhou 510006 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 07102-1982 United States

ISBN: (纸本)9781479915156

It is very challenging to schedule a multi-cluster tool for it needs to coordinate the activities of multiple robots. This paper studies one-wafer cyclic scheduling for multi-cluster tools whose bottleneck cluster tool is process-bound. A Petri net model is developed to describe the system. Based on the model, it is shown that, for any multi-cluster tool whose bottleneck cluster tool is process-bound, there is always a one-wafer cyclic schedule. Then, a method is presented to find the minimal cycle time and the optimal one-wafer cyclic schedule. The method requires only simple calculation. An example illustrates the application and effectiveness of the proposed method. © 2013 IEEE.

关键词： Scheduling

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Efficient Rate Control Algorithm for Hierarchical Video Coding

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Journal of Donghua University(English Edition) 2012年第3期29卷 222-226页

作者：陆千里岑锋许维胜朱芳来 The Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University Department of Control Science&Engineering Tongji University

For rate control (RC) of hierarchical structure coding, an independent rate-quantization (R-Q) model was proposed based on mean absolute differences (MADs) in different temporal levels (TLs). In the proposed R-Q model, a novel MAD model was developed according to the hierarchical structure. The experimental results demonstrate that the proposed algorithm provides better performance, in terms of average peak signal-to-noise ratio (PSNR) and quality smoothness, than the H.264 reference model, JM14.2, under various sequences.

关键词： rate-quantization (R-Q) model rate control(RC) video coding peak signal-to-noise ratio (PSNR) hierarchical structure

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Analysis for one-place unbounded Petri nets based on modified reachability trees

Analysis for one-place unbounded Petri nets based on modifie...

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2012 9th IEEE International Conference on Networking, Sensing and Control, ICNSC 2012

作者： Wang, Yu Ding, ZhiJun Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China

ISBN: (纸本)9781467303880

Analysis approaches of reachability decision is fundamental to Petri nets theory;however, the relevant research work in the past cannot always guarantee the correctness of analysis conclusions. This paper firstly reveals the root cause of wrong conclusions, which are drawn in analysis for deadlock of Petri nets based on modified reachability trees (MRT), and then proposes the rectified calculation of the next-state function and some corresponding definitions, which guarantee MRT's usefulness and correctness in analyzing reachability and deadlock of one-place unbounded Petri nets. Finally, a necessary and sufficient condition of MRT's reachability and the theoretical proof are presented. Examples are given to illustrate the method. © 2012 IEEE.

关键词： Petri nets

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A MapReduce-based distributed SVM ensemble for scalable image classification and annotation

A MapReduce-based distributed SVM ensemble for scalable imag...

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作者： Alham, Nasullah Khalid Li, Maozhen Liu, Yang Qi, Man Nuffield Division of Clinical Laboratory Sciences Radcliffe Department of Medicine University of Oxford OX3 9DU United Kingdom School of Engineering and Design Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Key Laboratory of Embedded Systems and Service Computing Ministry of Education Tongji University China School of Electrical Engineering and Information Systems Sichuan University Chengdu 610065 China Department of Computing Canterbury Christ Church University Canterbury Kent CT1 1QU United Kingdom

A combination of classifiers leads to a substantial reduction of classification errors in a wide range of applications. Among them, support vector machine (SVM) ensembles with bagging have shown better performance in classification than a single SVM. However, the training process of SVM ensembles is notably computationally intensive, especially when the number of replicated training datasets is large. This paper presents MRESVM, a MapReduce-based distributed SVM ensemble algorithm for scalable image annotation which re-samples the training dataset based on bootstrapping and trains an SVM on each dataset in parallel using a cluster of computers. A balanced sampling strategy for bootstrapping is introduced to increase the classification accuracy. MRESVM is evaluated in both experimental and simulation environments, and the results show that the MRESVM algorithm reduces the training time significantly while achieving a high level of accuracy in classifications. © 2013 Elsevier Ltd. All rights reserved.

关键词： Image annotation

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