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Energy Efficient Data Collection in Hierarchical Wireless Sensor Networks

China Communications 2012年第9期9卷 79-88页

作者： Zhang Chun Fei Shumin Zhou Xingpeng School of Automation Southeast UniversityNanjing 210096P.R.China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast UniversityNanjing 210096P.R.China

The majority of the energy consumption by the sensors is the energy requirement for data transmission in Wireless Sensor Networks （WSNs）. Therefore, introducing mobile collectors to collect data instead of nmlti-hop data relay is essential. However, for rmny proposed data gathering ap-proaches, long data deNNy is the train problenm. Hence, the problem of how to decrease the energy consumption and the data deNNy needs to be solved. In this paper, a low deNNy data collection mechanism using multiple mobile collectors is pro- posed. First, a self-organization clustering algorithm is designed. Second, sensor nodes are organized into three-level clusters. Then a collection strategy based on the hierarchical structure is proposed, which includes two rules to dispatch mobile collec- tors rationally. Simulation results show that the proposed mechanism is superior to other existing approaches in terms of the reduction in energy ex-penditure and the decrease in data deNNy.

关键词： WSNs energy consumption rrmltiplemobile collectors data delay

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Bottleneck Prediction Method Based on Improved Adaptive Network-based Fuzzy Inference System (ANFIS) in Semiconductor Manufacturing System

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Chinese Journal of Chemical engineering 2012年第6期20卷 1081-1088页

作者：曹政才邓积杰刘民王永吉 College of Information Science and Technology Beijing University of Chemical Technology Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University Tsinghua National Laboratory for Information Science and Technology State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of SciencesBeijing 100190China

Semiconductor manufacturing (SM) system is one of the most complicated hybrid processes involved continuously variable dynamical systems and discrete event dynamical systems. The optimization and scheduling of semiconductor fabrication has long been a hot research direction in automation. Bottleneck is the key factor to a SM system, which seriously influences the throughput rate, cycle time, time-delivery rate, etc. Efficient prediction for the bottleneck of a SM system provides the best support for the consequent scheduling. Because categorical data (product types, releasing strategies) and numerical data (work in process, processing time, utilization rate, buffer length, etc.) have significant effect on bottleneck, an improved adaptive network-based fuzzy inference system (ANFIS) was adopted in this study to predict bottleneck since conventional neural network-based methods accommodate only numerical inputs. In this improved ANFIS, the contribution of categorical inputs to firing strength is reflected through a transformation matrix. In order to tackle high-dimensional inputs, reduce the number of fuzzy rules and obtain high prediction accuracy, a fuzzy c-means method combining binary tree linear division method was applied to identify the initial structure of fuzzy inference system. According to the experimental results, the main-bottleneck and sub-bottleneck of SM system can be predicted accurately with the proposed method.

关键词： semiconductor manufacturing system bottleneck prediction adaptive network-based fuzzy inference system

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Kinematics analysis and trajectory planning of a multiarm medical robot assisted maxillofacial surgery

Kinematics analysis and trajectory planning of a multiarm me...

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6th International Conference on complex Medical engineering, CME 2012

作者： Chen, Chao Duan, Xing-Guang Wang, Xing-Tao Zhu, Xiang-Yu Li, Meng Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System School of Mechatronical Engineering Beijing Institute of Technology #5Zhongguancun South Street Haidian Beijing China China

ISBN: (纸本)9781467316163

As the complex anatomical structure of the maxillofacial region, the surgery in this area is high risk and difficult to implement. Then, a multi-arm medical robot assisted maxillofacial surgery using optical navigation was proposed in this paper, which can improve surgical precision and make the doctors away from the heavy manual work. In this paper, the medical robot system and mechanical structure of the robot were introduced. Forward kinematics and inverse kinematics were analysed. Then trajectory planning using quintic polynomial interpolation for smoothly motion was adopted, and rectilinear motion in Cartesian space was adopted. The kinematics was validated and the workspace of the robot was calculated by simulations. Finally, the robot model was established and an experiment was carried out which proved the robot run smoothly and positioned accurately. © 2012 IEEE.

关键词： Inverse kinematics

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control system for maxillofacial surgery robot: Master-slave, motion control and safety design

Control system for maxillofacial surgery robot: Master-slave...

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6th International Conference on complex Medical engineering, CME 2012

作者： Liu, Tian-Bo Duan, Xing-Guang Huang, Qiang Zhao, Hong-Hua Guo, Qing-Bo Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mechatronical Engineering Beijing Institute of Technology 5 Nandajie Zhongguancun Haidian Beijing 100081 China China

ISBN: (纸本)9781467316163

As the complex anatomical structure of the maxillofacial region, operation in this area is of high hazard and difficult to implement. Thus, a multi-arm medical robot assisting maxillofacial surgery, which can improve surgical precision and reduce surgeons' strain, was proposed. Firstly, overview of the whole robot system is introduced. Then this paper focuses on the control system which mainly consists of master-slave, motion control and safety design. Finally, the prototype was established and experiments were carried out to show the robot's smooth running and accurate positioning. © 2012 IEEE.

关键词： Motion control

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A literature review of deadlock prevention policy based on petri nets for automated manufacturing systems

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第21期6卷 426-433页

作者： Guan, Xuanxuan Li, Yue Xu, Jianxia Wang, Chengying Wang, Shouguang School of Information and Electronic Engineering Zhejiang Gongshang University Hangzhou 310018 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

Deadlock is an undesired situation in a highly automated system due to the fact that no system can allow its occurrence which may produce some unnecessary economic losses or serious consequences. There are three mathematical tools to handle deadlocks in resource allocation systems: graph theory, finite state machine, and Petri net. Due to its inherent characteristics, Petri nets are widely applied to manufacturing systems. Generally, these existing deadlock methods are classified into three strategies: deadlock detection and recovery, deadlock avoidance, and deadlock prevention. In this paper, a review of deadlock prevention policies and merits and drawbacks of these policies are presented. Then it gives the possible trend of the research in the future.

关键词： Petri nets

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Study of CNC machine working condition monitoring and fault prediction system based on PHP

Study of CNC machine working condition monitoring and fault ...

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第四届国际自动化测试与仪器仪表学术会议

作者： Wang Hongjun Xu Xiaoli Wan Peng Key Laboratory of Modern Measurement & Control Technology Ministry of Education School of Mechanic and Electric Engineering BISTU

The recent progresses in mechanical system condition monitoring technology based on the inter-net was reviewed and *** CNC machine tools working condition plays an important role for the flow shop production line for the products quality,production efficiency and production *** framework of the production line CNC machine tools working condition monitoring and fault prediction system（E-MAX System） is *** functions of the system,are discussed in *** least-square method could be employed to collect and analyze the malfunction of the CNC machine tools to obtain the MTBF of key equipments and providing technical support for the maintenance based on practice data from the *** machine tools working condition monitoring and fault forecasting System（E-MAX） was designed and developed based on the platform of Apache,PHP and *** system has several significant functions,including information consultation,working condition monitoring and fault prediction,maintenance plan and *** system is a feasible tool for enterprises in terms of information management of the production line and equipment maintenance based on the conditions of the equipment.

关键词： CNC machine tools working condition and fault forecasting system B/S structure Apache+PHP+MySQL

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Rotating machinery fault prediction based on manifold learning method

Rotating machinery fault prediction based on manifold learni...

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第四届国际自动化测试与仪器仪表学术会议

作者： Wan Peng Wang Hongjun Ma Chao Key Laboratory of Modern Measurement & Control Technology Ministry of Education School of Mechanic and Electric Engineering BISTU

In order to extract the nonlinear characteristic of rotary machine,a new monitoring method based on manifold learning method is *** dimension space of original signals is constructed by multivariate statistical *** methods included local target space alignment(LTSA),Isometric Mapping(ISOMAP) and locally linear embedding(LLE) are employed for extracting one dimension principal manifold to reflect the non-linear dynamic characteristics of the *** the results show that LTSA can predict the fault directly and effectively with practical data.

关键词： rotary machine fault Prediction manifold learning method

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A novel HHT and nonlinear teager energy operator based feature for speech emotion recognition

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International Review on Computers and Software 2012年第6期7卷 3360-3364页

作者： Zhang, Guobao Li, Yue Huang, Yongming School of Automation Southeast University Nanjing Jiangsu 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China School of Automation Southeast University Nanjing Jiangsu 210096 China

In traditional speech emotion recognition researches, speech is modeled as linear and short-term stationary signal, with Fourier analysis used as the foundation of speech signal processing and feature extraction. To overcome this shortage, in this paper the Hilbert-Huang transform, which works well for non-stationary and nonlinear data, is used for speech signal processing, and combined with the nonlinear Teager energy operator to put forward a novel spectral feature: Hilbert-Teager Subband Energy Cepstral Coefficients, HT-SECC. With Gaussian mixture model used for classification, the experimental results on Berlin emotional speech corpus show that the HT-SECC feature outperforms traditional Mel-Frequency Cepstral Coefficients and prosodic features. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.

关键词： Hilbert-Huang transform

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Robust stability analysis for uncertain neutral control systems with time-varying delays

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Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and Technology (Natural Science Edition) 2012年第1期13卷 12-16页

作者： Zhang, Hai-Tao Wang, Ting Fei, Shu-Min Li, Tao Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China Engineering Institute of Corps of Engineers PLA Univ. of Sci. and Tech. Nanjing 210007 China School of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

To better handle the problem on robust stability for neutral control systems, in which time-varying delay was involved, a stability criterion with less conservatism was put forward. Firstly, a novel Lyapunov-Krasovskii functional was constructed based on the uncertain neutral control system model. The generalized convex combination and integral inequality techniques were altogether employed, which can help to estimate the derivative of Lyapunov-Krasovskii functional and effectively extend the application area of the results. Secondly, by taking the lower and upper bounds of time-delays and their derivatives, a criterion on asymptotical and robust stability were presented in terms of linear matrix inequality (LMI), which can be easily checked by resorting to LMI in Matlab Toolbox. Finally, through one numerical example the criterion was compared with relative ones. The smaller delay upper bound was obtained by the criteria, which demonstrates that our stability criterion can reduce the conservatism more efficiently than those earlier ones.

关键词： Linear matrix inequalities

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Image mosaicing algorithm for dynamic scenes using multi-scaled PHOG feature and optimal seam

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Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence 2012年第4期25卷 624-631页

作者： Zou, Li-Hui Chen, Jie Zhang, Juan Lu, Jing-Hua Key Laboratory of Complex System Intelligent Control and Decision of Ministry of Education School of Automation Beijing Institute of Technology Beijing 100081 China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing 100083 China

Aiming at the problems of registration error and synthetic movement ghost which are caused by moving objects in image mosaicing, a mosaicing algorithm for dynamic scene using multi-scale pyramid histogram of oriented gradients (PHOG) and optimal seam is proposed. Firstly, a new feature, multi-scaled PHOG, is generated by introducing PHOG to multi-scale space corner detections. The feature is used to align images for avoiding the local impact caused by moving objects in image registration. Then, an optimal seam, guaranteeing the minimum difference in geometry and gray value, is searched by graph cut algorithm through constructing an energy function to remove the movement ghost. The experimental results show that the proposed algorithm is efficient in dealing with the problems of image mosaicing with moving objects, and the mosaicing results are satisfactory with high precision.

关键词： Graphic methods

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