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IEEE International Conference on Automation and Logistics (ICAL)

作者： Zhu, Xiang-yu Duan, Xing-guang Chen, Chao Liu, Tian-bo Guo, Qing-bo Intelligent Robotics Institute State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mechatronical Engineering Beijing Institute of Technology 5 Nandajie Zhongguancun Haidian 100081 China

ISBN: (纸本)9781467303644

A maxillofacial Multi-arm surgery robot is employed to assisting maxillofacial surgery, which can improve surgical precision and reduce surgeons' strain. Thus, the safety during the processing of the surgery is necessary for protecting the patient and preventing the quality of the surgery. This paper presents the development of a collision and self-collision-detection scheme, for Maxillofacial Multi-arm Surgery Robot. The method is based on modeling the arm of Multi-arm robot and the obstacle in surgery environment by simple geometric primitives (cylinders and spheres). Methods of detecting collision about the cylinders and the spheres are introduced. By resorting to the pose of cylinder or sphere which presents in the workspace, many different types of collisions are introduced. The performance of the collision-avoidance scheme is demonstrated with Multi-arm robot via experiments.

关键词： Multi-arm robot Collision Avoidance Geometric Primitives Collision Detection

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Listwise approaches based on feature ranking discovery

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Frontiers of Computer Science 2012年第6期6卷 647-659页

作者： Yongqing WANG Wenji MAO Daniel ZENG Fen XIA Commercial Products Development Department Alibaba Inc.Hangzhou 310052China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Department of Management Information Systems University of ArizonaTucsonAZ 85721USA Union Research and Development Department Baidu Inc.Beijing 100085China

Listwise approaches are an important class of learning to rank, which utilizes automatic learning techniques to discover useful information. Most previous research on listwise approaches has focused on optimizing ranking models using weights and has used imprecisely labeled training data; optimizing ranking models using features was largely ignored thus the continuous performance improvement of these approaches was hindered. To address the limitations of previous listwise work, we propose a quasi-KNN model to discover the ranking of features and employ rank addition rule to calculate the weight of combination. On the basis of this, we propose three listwise algorithms, FeatureRank, BL-FeatureRank, and DiffRank. The experimental results show that our proposed algorithms can be applied to a strict ordered ranking training set and gain better performance than state-of-the-art listwise algorithms.

关键词： learning to rank listwise approach feature＇s ranking discovery

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Rotation Estimation for Mobile Robot Based on Single-axis Gyroscope and Monocular Camera

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International Journal of Automation and computing 2012年第3期9卷 292-298页

作者： Yang, Ke-Hu Yu, Wen-Sheng Ji, Xiao-Qiang School of Mechanical Electronic and Information Engineering China University of Mining and Technology Beijing 100083 China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai 200062 China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

The rotation matrix estimation problem is a keypoint for mobile robot localization, navigation, and control. Based on the quaternion theory and the epipolar geometry, an extended Kalman filter (EKF) algorithm is proposed to estimate the rotation matrix by using a single-axis gyroscope and the image points correspondence from a monocular camera. The experimental results show that the precision of mobile robot s yaw angle estimated by the proposed EKF algorithm is much better than the results given by the image-only and gyroscope-only method, which demonstrates that our method is a preferable way to estimate the rotation for the autonomous mobile robot applications.

关键词： Rotation matrix estimation quaternion extended Kalman filter (EKF) monocular camera gyroscope.

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Absorbance experiments on different pesticide formulations and mixed concentration sensor design

Absorbance experiments on different pesticide formulations a...

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American Society of Agricultural and Biological Engineers Annual International Meeting 2012

作者： Guan, Xianping Qiu, Baijing Zhang, Xiaodong Zuo, Zhiyu Dong, Xiaoya Key Laboratory of Modern Agricultural Equipment and Technology Ministry of Education Jiangsu University Zhenjiang 212013 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China

ISBN: (纸本)9781622762088

This paper carried out the absorbance experiments on different pesticide formulations and mixed pesticide concentration sensor design for online mixing system based on the precision spray requirements. There are many different pesticide formorlations, among which wettable powder (WP) and emulsifiable concentrates (EC) are most widely used ones in China. The optical methods were chosen for quick and precise measurement based on the physical characteristics of commonly used pesticide formulations and generally low spraying concentrations. Firstly we carried out monochromatic light absorbance experiments to study the optical properties of different pesticide formulations. We prepared the solutions with different possible spraying concentrations of WP and EC of several commonly used pesticdes and used UV-Vis spectrophotometer to measur the absorbance of the prepared solutions. The experiment results show that: in the UV-visible wavelength range, the absorbances of the suspension or emulsion of WP or EC generally decrease with increasing optical wavelength, but the solution concentration and the absorbance value is not proportional. In the 600-800nm range the absorbances have good differentiation. In order to select the appropriate absorbance range of wavelengths and considering the available of laser diode, the monochromatic light with wavelength of 650nm was chosen as the source light. Then we carried out the preliminary design of mixed pesticide concentration sensor. The sensor is composed of monochromatic light source module, the light detection circuit and signal processing module. The structure of the sensor was also preliminarily designed.

关键词： Absorbance

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Multi-scale Fusion of Texture and Color for Background Modeling

Multi-scale Fusion of Texture and Color for Background Model...

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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Zhong Zhang Chunheng Wang Baihua Xiao Shuang Liu Wen Zhou State Key Laboratory of Management and Control for Complex Systems State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

Background modeling from a stationary camera is a crucial component in video surveillance. Traditional methods usually adopt single feature type to solve the problem, while the performance is usually unsatisfactory when handling complex scenes. In this paper, we propose a multi-scale strategy, which combines both texture and color features, to achieve a robust and accurate solution. Our contributions are two folds: one is that we propose a novel texture operator named Scale-invariant Center-symmetric Local Ternary Pattern, which is robust to noise and illumination variations, the other is that a multi-scale fusion strategy is proposed for the issue. Our method is verified on several complex real world videos with illumination variation, soft shadows and dynamic backgrounds. We compare our method with four state-of-the-art methods, and the experimental results clearly demonstrate that our method achieves the highest classification accuracy in complex real world videos.

关键词： Color Image color analysis Colored noise Robustness Lighting Feature extraction

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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 self-learning algorithm based on support vector machine for scheduling a job-shop-like knowledgeable manufacturing cell

A self-learning algorithm based on support vector machine fo...

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2011 International Conference on Mechanical Engineering, Materials and Energy, ICMEME 2011

作者： Li, Wen-Chao Yan, Hong-Sen Key Laboratory of Measurement and Control of Complex Systems Engineering Southeast University Ministry of Education Nanjing 210096 China Department of Transportation Jiangsu University Zhenjiang 212013 China

ISBN: (纸本)9783037853405

The job-shop-like knowledgeable manufacturing cell scheduling is a NP-complete problem and there has not been a completely valid algorithm for it until now. An algorithm with self -learning ability is proposed through the addition of precedence constraint of operations on the basis of directed graph. A method based on support vector machine is constructed to choose accurately interchangeable operations by small samples earning to obtain the better scheduling. The classification accuracy can be improved by the continuous addition of new instances to the sample library. The results of simulation show that the algorithm performs well for the job-shop-like knowledgeable manufacturing cell. © (2012) Trans Tech Publications, Switzerland.

关键词： Computational complexity

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Fitting a functional structural plant model based on global sensitivity analysis

Fitting a functional structural plant model based on global ...

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2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012

作者： Lin, Yubin Kang, Mengzhen Hua, Jing National Key Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467304283

Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysis method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs. © 2012 IEEE.

关键词： Sensitivity analysis

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A symbol identifier based recognition and relative positioning approach suitable for multi-robot systems 1

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5th International Conference on Intelligent Robotics and Applications, ICIRA 2012

作者： Qian, Hanbo Yuan, Wenbo Liu, Xilong Cao, Zhiqiang Zhou, Chao Tan, Min Center of Coordination and Support of SASTIND Beijing 100081 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (数字)9783642335037

ISBN: (纸本)9783642335020

In this paper, a symbol identifier based recognition and relative positioning approach suitable for multi-robot systems is proposed. The symbol identifier is composed of central area and peripheral area, and there exists radial spokes in central area. The recognition approach utilizes some features including luminance feature of center point, luminance difference between center point and its ambient region, the number and distribution of spokes as well as the shape of peripheral area to filter the points in the image. Finally, the resulting pixel points set to characterize the center points of symbol identifiers is generated. On this basis, the positions of these center points relative to the camera are then calculated. The proposed approach is verified by the experiments. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Multipurpose robots

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A novel pipeline for motif discovery, pruning and validation in promoter sequences of human tissue specific genes

A novel pipeline for motif discovery, pruning and validation...

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2012 IEEE 6th International Conference on systems Biology, ISB 2012

作者： Gong, Xiu-Jun Yu, Hua Zhao, Fei-Fei School of Computer Science and Technology Tianjin University Tianjin China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing China

ISBN: (纸本)9781467343985

Identification and analysis of tissue-specific (TS) genes and their regulatory activities play an important role in the understanding of mechanisms of organisms, disease diagnosis and drug design. In this paper, we designed a pipeline for the discovery of promoter motifs for tissue-specific genes. The pipeline consists of three phases: motif searching, motif merging and motif validation. The motif searching phase integrated three algorithms: MEME, AlignACE and Gibbs Sampling. In the second phase, we proposed a motif merging method, which is based on Bayesian probabilistic principles, to reduce redundancies of motifs from the first phase. Lastly, the motif validation phase verified the statistical significance of discovered motifs using a Bayesian Hypothesis Test approach. We performed the analysis on the sequences of promoter regions (-449bp-1000bp) of 4,552 human tissue-specific genes across 82 tissues and 924 housekeeping genes. The distributions of motifs in different promoter regions show that most motifs prefer to be in the proximal region (+500∼50bp, -50bp∼-500bp) of promoters. © 2012 IEEE.

关键词： Pipelines

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