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2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012

作者： Yang, Yijun Hong, Hanyu Wang, Yiwen Zhang, Xiuhua Laboratory of Image Processing and Intelligent Control Wuhan Institute of Technology Wuhan 430205 China School of Mathematics and Physics University of Science and Technology Beijing Beijing 100083 China

ISBN: (纸本)9780769547725

In the process of billet detection and recognition, the self-adaptability research of billet character segmentation in the complex scene is a highly complicated intelligence problem. On account of a good many of factors, such as the uneven ends of billet, the rusty billets, the non-standard printed characters and so on, the irregular characters at ends of steel billet may be connected and broken. Improper segmentation of connected and broken characters will lead the characters distorted directly and then impact on the recognition results. In view of these complex factors, a segmentation algorithm based on self-adaptability decision is proposed to improve the segmentation self-adaptability in this paper. The segmentation experimental results show that the proposed algorithm divides the billet characters in the complex scene accurately and improves the self-adaptability of character segmentation. © 2012 IEEE.

关键词： Indium compounds

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Development of the measurement system of the postero-to-anterior movements of the cervical spine

Development of the measurement system of the postero-to-ante...

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2012 International Conference on Modelling, Identification and control, ICMIC 2012

作者： Wang, Tiantian Huang, Jian Wang, Yongji Huang, Xiaolin Zhang, Jinghui Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technology Huazhong University of Science and Technology Wuhan China Department of Rehabilitation Medicine Tongji Hospital Tongji Medical College of Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780956715715

An essential part of improving manual therapy treatment for cervical spondylosis is to objectively quantifies the relationship between the manually applied force and the resulting displacement during Postero-to-Anterior (PA) movements. In this research we developed a reliable device which could be used in a clinical setting and record four different levels force-displacement curves of PA movements automatically. The measurement objectively quantifies the force characteristic parameters of four different levels. The ranges of amplitude and frequency are listed out and a method is given for fitting applied force curves of four different levels by manual therapists. We also calculate individual's stiffness at C2 and C5 spinous process and find that cervical spine stiffness differs between individuals. This information forms the basis for future research, teaching and clinical practice that could improve manual therapy skills and design an intelligent system for cervical spinal rehabilitation to replace manual therapists. © 2012 Huazhong Univ of Sci & Tec.

关键词： Stiffness

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Flow rate control and resource allocation policy with security demands in OFDMA networks

Flow rate control and resource allocation policy with securi...

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10th World Congress on intelligent control and Automation, WCICA 2012

作者： Bo, Yang Zhu, Xingzheng Yue, Jianting Guan, Xinping School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Ministry of Education of China 800 Dongchuan Road Shanghai 200240 China Key Laboratory of Education Ministry for Image Processing and Intelligent Control China

ISBN: (纸本)9781467313988

OFDMA-based network performs well in maximizing the overall throughput, and meanwhile, problems with security requirements are focused to satisfy the increasing needs of confidential data transmissions. According to information theory, however, secure transmission undesirably antagonizes larger flow rate, thus a tradeoff is expected to balance these two matters. In this paper, we consider a downlink situation in OFDMA network, where all users request secure transmission from the base station yet the resources including power and subcarriers are limited such that an appropriate policy on resource allocation can play an instrumental role. Dynamic queueing and Lyapunov optimization are two highlights in this process. We utilize dynamic queueing so that merely instantaneous state of the network is enough, which is advantageous for easier implementations. On the other hand, by the means of Lyapunov optimization, we also prove our algorithm can obtain a performance of flow rate admission extremely close to the optimal. Applying this policy can reduce computational complexity significantly but still perform close to optimality. © 2012 IEEE.

关键词： Resource allocation

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Integrating segmentation and classification accuracy for accuracy assessment in object-based image analysis

Integrating segmentation and classification accuracy for acc...

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2012 3rd IEEE/IET International Conference on Audio, Language and image processing, ICALIP 2012

作者： Li, Nan Huo, Hong Fang, Tao Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China

ISBN: (纸本)9781467301718

An accuracy assessment method that integrates segmentation and classification accuracy is proposed to meet the requirements of object-based image analysis. Segmentation errors are measured by establishing the relationship between pixels and their corresponding segments according to the overlaps of segments and reference polygons. Then, two improved confusion matrices that take the segmentation errors into consideration are used: one for pixel-level classification results, and the other for object-level classification results. A final accuracy assessment combines the statistics of these two confusion matrices. The proposed method can be applied to segmentation scale selection in the hierarchical interpretation system. An experiment on a SPOT5 image demonstrates the effectiveness of this method for segmentation scale selection, which can guide the fusion of objects of different scales to obtain a higher accuracy. © 2012 IEEE.

关键词： image analysis

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Incremental Feedback Learning Methods For Voice Recognition Based On DTW

Incremental Feedback Learning Methods For Voice Recognition ...

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xiaoxia Chen Yongji Wang Jian Huang Chunjing Tao Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technol Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technol R&D department of National Research Centerfor Rehabilitation Technical Aids BeijingChina

ISBN: (纸本)9781467315241

A Dynamic Time Warping (DTW) based voice recognition approach and its template training problem are discussed in this *** order to achieve better recognition accuracies, we proposed two kinds of incremental feedback learning methods for DTW-based voice recognition, including the variable gain coefficient (VGC) based method and the time warping average (TWA) based *** with the non-feedback recognition system, the proposed methods are easy to implement and more robust to noise.A number of comparison experiments are performed to demonstrate the effectiveness of the proposed *** is also shown that the VGC-based method, whose implementation is easy, achieves significantly better performance than conventional batch template training method without feedback learning.

关键词： Incremental Feedback Learning DTW Time Warping Average Voice Recognition

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Development of Wearable Bath Safety Monitoring System for Handicapped People

Development of Wearable Bath Safety Monitoring System for Ha...

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Jian Huang Hao Zhang Weiguang Huo Chunjing Tao Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technol Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technol R&D department of National Research Centerfor Rehabilitation Technical Aids BeijingChina

ISBN: (纸本)9781467315241

With the development of society and progress of technology, people are concerned with their health more and *** there are increasing number of handicapped people, which brings tremendous burden to the society and their *** handicapped people, bathing is a big challenge because of disabilities and some dangers such as falling down or drowning which will cause severe consequence if not be dealt with in *** alleviate the burden of society and their families as well as guarantee their safety during bathing, we propose an integrated wearable bath safety monitoring *** system can detect both fall and drowning emergencies during bathing in real-time and alarm to remote monitoring center for *** effectiveness of the propose safety monitoring system is confirmed by experiments.

关键词： Fall Detection Drowning Detection Bath Safety Monitoring System Wearable

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A Novel Target Tracking Approach Based on ORB Used in Micromanipulation System

A Novel Target Tracking Approach Based on ORB Used in Microm...

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2012 International Conference on Modelling,Identification and control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Lei Zuo Xinhan Huang Wen Zuo Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Scienc Key Laboratory of Image Processing andIntelligent Control of Education Department of Control Science College of Electronical Engineering NavalUniversity of EngineeringWuhan 430033China

Micromanipulation robot is a system which often does some precise manipulations in micro scale space, such as centimeter or millimeter level space, in which micro visual servo system plays a very important *** visual servo system, it’s difficult to give consideration to two or more things such as location accuracy and real-time property at the same *** this paper, we introduced a novel approach which suited our system very well and could meet both of the above *** was called ORB, a novel feature extracting method which outperformed many current excellent methods such as SIFT and SURF.

关键词： visual servo system feature extracting ORB feature matching target tracking

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Adaptive multi-feature tracking in particle swarm optimization based particle filter framework

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Journal of Systems Engineering and Electronics 2012年第5期23卷 775-783页

作者： Miaohui Zhang Ming Xin Jie Yang Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 P. R. China Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 P. R. China

This paper proposes a particle swarm optimization（PSO） based particle filter（PF） tracking framework,the embedded PSO makes particles move toward the high likelihood area to find the optimal position in the state transition stage,and simultaneously incorporates the newest observations into the proposal distribution in the update *** the proposed approach,likelihood measure functions involving multiple features are presented to enhance the performance of model ***,the multi-feature weights are self-adaptively adjusted by a PSO algorithm throughout the tracking *** are three main ***,the PSO algorithm is fused into the PF framework,which can efficiently alleviate the particles degeneracy ***,an effective convergence criterion for the PSO algorithm is explored,which can avoid particles getting stuck in local minima and maintain a greater particle ***,a multi-feature weight self-adjusting strategy is proposed,which can significantly improve the tracking robustness and *** performed on several challenging public video sequences demonstrate that the proposed tracking approach achieves a considerable performance.

关键词： particle filter particle swarm optimization adaptive weight adjustment visual tracking

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Research of input decouple method of re-entry aircraft

Research of input decouple method of re-entry aircraft

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2012 International Conference on Modelling, Identification and control, ICMIC 2012

作者： Ni, Shaobo Shan, Jiayuan Shang, Shuaifeng Aerospace College Beijing Institute of Technology Beijing 100081 China Beijing Institute of Aerospace Automatic Control Beijing 100854 China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780956715715

Re-entry aircraft depends on aerodynamic force during flight. Because of windward rudder and lee rudder, there certainly exists aerodynamic coupling among pitch channel, yaw channel and roll channel under the situation of large attack angle and slip angle, and behaves couplings of inputs and states. This paper proposed decouple control of inputs aiming at the coupling problem of inputs, and the MIMO problem is transformed to a SISO one. For the SISO problem, the coupling of states can be solved by control system design to guarantee system stable and robust. © 2012 Huazhong Univ of Sci & Tec.

关键词： Attitude control

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Study on landslide deformation prediction based on recurrent neural network under the function of rainfall

Study on landslide deformation prediction based on recurrent...

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19th International Conference on Neural Information processing, ICONIP 2012

作者： Chen, Huangqiong Zeng, Zhigang Tang, Huiming Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China Faculty of Engineering China University of Geosciences Wuhan Hubei 430074 China

ISBN: (纸本)9783642344770

Landslide deformation prediction has significant practical value that can provide guidance for preventing the disaster and guarantee the safety of people's life and property. In this paper, a method based on recurrent neural network (RNN) for landslide prediction is presented. The results show that the prediction accuracy of RNN model is much higher than the feedforward neural network model for Baishuihehe landslide. Therefore, the RNN model is an effective and feasible method to further improve accuracy for landslide displacement prediction. © 2012 Springer-Verlag.

关键词： Recurrent neural networks

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