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C2G2FSnake: automatic tongue image segmentation utilizing prior knowledge

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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Optimizing skyline queries in SPA distributed networks

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2013年第8期41卷 1515-1520页

作者： Huang, Zhen-Hua Xiang, Yang Sun, Sheng-Li Chen, Qian Department of Computer and Technology Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China School of Software and Microelectronics Peking University Beijing 102600 China

Skyline query has recently received a lot of attention in information service community. The TPAOSS (Three-Phase Algorithm for Optimizing Skyline Scalar) algorithm has two performance drawbacks: (1) in the third phase of TPAOSS, as the number of objects on net nodes increases, the length of bloom filter will increases exponentially, which will seriously influence the efficiency of obtaining replicated values and the occupation size of memory;(2) the TPAOSS algorithm does not consider the computation efficiency of local or global subspace skyline queries in each net node. Motivated by these facts, we propose EPSSQDN (Efficient Processing of Subspace Skyline Queries in Distributed Networks), an algorithm for efficient processing of subspace skyline queries in SPA distributed networks. Moreover, in order to further reduce the computation cost of subspace skyline queries and decrease the volume of data transferred, we present an efficient optimized techniques. Furthermore, we present extensive experiments that demonstrate our method is more advantageous than the TPAOSS algorithm.

关键词： Information services

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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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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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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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