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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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Berth-crane allocation model and algorithm of container berths in the uncertain environment

Berth-crane allocation model and algorithm of container bert...

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8th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2013

作者： Liu, Jian-Xin Du, Yu-Yue Hong, Yong-Fa Sun, Lin-Lin College of Information Science Engineering Shandong University of Science and Technology QingdaoShandong266590 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China College of Civil Engineering and Architecture SUST QingdaoShandong266590 China

ISBN: (纸本)9783642375019

According to the randomness of the vessel’s arrival time and handling time, the establishment of a randomly-oriented environment container berths— crane allocation model, the optimizing goal is to minimize the average ship-waiting time. Taking into account the complexity of the model solution, this paper offers the design of an improved genetic algorithm to reduce the searching space, and according to the characteristics of the optimal solution. With testing example to verify that the model can simulate decision-making environment of berths— crane allocation problem and reflect the decision-maker’s attitude toward risks and preferences. The algorithm can gain a stable and satisfactory solution within the operating time. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Genetic algorithms

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A service selection method based on web service clusters

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Journal of Applied Sciences 2013年第24期13卷 5734-5738页

作者： Liu, Wei Du, Yu-Yue Yan, Chun College of Information Science and Engineering Shandong University of Science and Technology 266590 Qingdao China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University 200092 Shanghai China

service selection is an essential issue in service discovery based on Web service clusters. The ratio of trust value to price is introduced to select the most suitable service in a cluster. The method of computing the initial trust, the direct trust and the recommendation trust are, respectively presented and the overall trust is derived based on them. The proposed method keeps the balance between the price and service quality. © 2013 Asian Network for Scientific Information.

关键词： Web services

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Maximally permissive distributed control of large scale automated manufacturing systems modeled with Petri nets

Maximally permissive distributed control of large scale auto...

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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

Ensuring nonblockingness remains challenging for automated manufacturing systems (AMS) owing to their discrete event dynamics. Both scalability and maximal permissiveness are essential for the synthesis and implementation of their centralized supervisors. Inspired by the divide and conquer philosophy, this work proposes a partition methodology and distributed control technique for large scale AMS. They are represented as interconnected and overlapping subsystems sharing some common components in terms of buffers. For each subsystem, a local supervisor is designed based on its local behavior and neighboring information only. Generalizing the existing results, we develop a condition under which the control law via decomposition promises the maximal permissiveness. Buffer capacities are well designed for the sake of their decomposition into multiple overlapping subsystems. Theoretical results are developed to characterize the behavior compatibility among local controllers. An experimental study illustrates the effectiveness of the proposed method. © 2013 IEEE.

关键词： Supervisory personnel

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Supervisor synthesis and performance improvement for automated manufacturing systems by using Petri nets

Supervisor synthesis and performance improvement for automat...

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

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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Covariance free incremental principal component analysis with exact mean update

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Journal of Computational Information systems 2013年第16期9卷 6703-6710页

作者： Zeng, Xueqiang Li, Guozheng The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China Computer Center Nanchang University Nanchang 330029 China Department of Control Science and Engineering Tongji University Shanghai 201804 China

Incremental feature extraction is an essential data preprocessing technique for large-scale and streaming data mining. Among various covariance matrix-free Incremental Principal Component Analysis (IPCA) methods, Candid Covariance-free Incremental Principal Component Analysis (CCIPCA) is a state-of-the art algorithm. Since the training samples are required to be centred, CCIPCA applies an approximate centric alignment on the input data, where only the current sample is correctly centred and all historical data are not updated properly. In this paper, we propose a novel centred incremental principal component analysis algorithm with exact historical mean update, where not only the current sample is centred, but also all historical data are updated by the current mean correctly. Compared to CCIPCA, the proposed method converges more quickly, and the performance improvement is especially obvious when the data's inherent covariance is not stable. The experiments on real streaming dataset show that the proposed method is much superior to CCIPCA in convergence speed. © 2013 Binary Information Press.

关键词： Principal component analysis

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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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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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