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IEEE International Conference on Consumer Electronics, ICCE 2016

作者： Jeon, Semi Yoon, Inhye Yang, Seung'I Kim, Bongmo Kim, Jisung Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul Korea Republic of Video Technology Lab. Future Technology RandD Division SK Telecom Korea Republic of

ISBN: (纸本)9781467383646

Compact, portable digital cameras have been popular to consumers. This paper presents a robust feature detection method using particle keypoints and its application to video stabilization. The proposed video stabilization algorithm consists of three steps: i) generation of a flat region map based on the Gaussian filter, ii) robust feature point detection using particle keypoints, and iii) camera paths estimation for enhancing a shaky video. As a result, the proposed algorithm can estimate optimal homography by redefining important feature points using particle keypoints in the flat region map. The proposed robust feature detection algorithm is suitable for enhancing the quality of video acquired by consumer handheld imaging devices. © 2016 IEEE.

关键词： Stabilization

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Corotational cut Finite Element Method for real-time surgical simulation: Application to needle insertion simulation

arXiv

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arXiv 2017年

作者： Bui, Huu Phuoc Tomar, Satyendra Bordas, Stéphane P.A. Institute of Computational Engineering University of Luxembourg Faculty of Sciences Communication and Technology Luxembourg UMR CNRS 6623 Université de Franche-Comté Besançon France Institute of Mechanics and Advanced Materials School of Engineering Cardiff University United Kingdom Intelligent Systems for Medicine Laboratory University of Western Australia Perth Australia

This paper describes the use of the corotational cut Finite Element Method (FEM) for real-time surgical simulation. Users only need to provide a background mesh which is not necessarily conforming to the boundaries/interfaces of the simulated object. The details of the surface, which can be directly obtained from binary images, are taken into account by a multilevel embedding algorithm applied to elements of the background mesh that cut by the surface. Boundary conditions can be implicitly imposed on the surface using Lagrange multipliers. The implementation is verified by convergence studies with optimal rates. The algorithm is applied to various needle insertion simulations (e.g. for biopsy or brachytherapy) into brain and liver to verify the reliability of method, and numerical results show that the present method can make the discretisation independent from geometric description, and can avoid the complexity of mesh generation of complex geometries while retaining the accuracy of the standard FEM. Using the proposed approach is very suitable for real-time and patient specific simulations as it improves the simulation accuracy by taking into account automatically and properly the simulated geometry. Copyright © 2017, The Authors. All rights reserved.

关键词： Finite element method

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Preparation and thermochromic behaviors of polydiacetylene/indium or gallium doped zinc oxide nanocomposites

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Journal of Physics: Conference Series 2019年第1期1380卷

作者： Tin Htet Htet Lynn Rawat Jaisutti Kritsanu Tivakornsasithorn Rakchart Traiphol Tanakorn Osotchan School of Materials Science and Innovation Faculty of Science Mahidol University City at Salaya 73170 Thailand Department of Physics Faculty of Science and Technology Thammasat University Pathum Thani Thailand Department of Physics Faculty of Science Mahidol University Rama VI Road Bangkok Thailand Laboratory of Advanced Polymers and Nanomaterials School of Materials Science and Innovation Faculty of Science Mahidol University at Salaya Phuttamonthon 4 Road Salaya Nakhon Pathom 73170 Thailand NANOTEC-MU Excellence Center on Intelligent Materials and Systems Faculty of Science Mahidol University Rama 6 Road Ratchathewi Bangkok 10400 Thailand

Polydiacetylene (PDA) is one of the well-known thermochromic materials having a high potential in applications such as displays and sensor technology. Many research groups have been working on controlling thermochromic reversibility of PDA-based materials. In this research, the colorimetric response of PDA assembled with indium or gallium doped zinc oxide was studied with various concentrations. Indium or gallium doped zinc oxide was prepared by hydrothermal method. The compositions of 5, 10, and 15% of indium and 5, 12, and 24% gallium, respectively. Undoped zinc oxide and gallium doped zinc oxide exhibited the nanoflowers composed of nanosheets while the indium doped zinc oxide showed the nanorod structure and combined to be nanoflowers. Monomer of PDA composing 10, 12-pentacosadiynoic acid in ethanol was mixed with indium and gallium doped zinc oxide precursor solution at 20% weight. Ultra-violet light source was used to photo-polymerize for five minutes after incubation at low temperature for a prolong cooling. For nanocomposites of poly(PCDA) and undoped and gallium doped zinc oxide, the color of nanocomposite changed from blue to light-purple at above 70°C and the color can be reversible when cooling down to room temperature. However, for nanocomposites of PCDA and indium doped zinc oxide, the color change from blue to light-purple at above 50°C then become red than those in gallium doped PDA nanocomposite. In addition, the color of PCDA nanocomposite with indium doped zinc oxide cannot be reversible back to the original color.

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Weakening the tight coupling between geometry and simulation in isogeometric analysis: From sub- and super- geometric analysis to Geometry Independent Field approximaTion (GIFT)

arXiv

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arXiv 2017年

作者： Atroshchenko, Elena Xu, Gang Tomar, Satyendra Bordas, Stéphane P.A. University of Chile Department of Mechanical Engineering Santiago8370448 Chile Hangzhou Dianzi University Hangzhou310018 China Institute of Computational Engineering University of Luxembourg Faculty of Sciences Communication and Technology Luxembourg Institute of Mechanics and Advanced Materials School of Engineering Cardiff University United Kingdom Intelligent Systems for Medicine Laboratory University of Western Australia Perth Australia

This paper presents an approach to generalize the concept of isogeometric analysis (IGA) by allowing different spaces for parameterization of the computational domain and for approximation of the solution field. The method inherits the main advantage of isogeometric analysis, i.e. preserves the original, exact CAD geometry (for example, given by NURBS), but allows pairing it with an approximation space which is more suitable/flexible for analysis, for example, T-splines, LR-splines, (truncated) hierarchical B-splines, and PHT-splines. This generalization offers the advantage of adaptive local refinement without the need to re-parameterize the domain, and therefore without weakening the link with the CAD model. We demonstrate the use of the method with different choices of the geometry and field splines, and show that, despite the failure of the standard patch test, the optimum convergence rate is achieved for non-nested spaces. Copyright © 2017, The Authors. All rights reserved.

关键词： Interpolation

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Multi-stage feature learning based object recognition and 3D pose estimation with kinect 6

Multi-stage feature learning based object recognition and 3D...

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6th International Conference on Information Science and technology, ICIST 2016

作者： Zeng, Wei Liang, Guoyuan Guangdong, Can Wang Wu, Xinyu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Key Laboratory of Human-Machine-Intelligence Synergic Systems Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen China Dept. Mechanical and Automation Engineering Chinese University of Hong Kong Shenzhen China

ISBN: (纸本)9781509012206

Impressive achievements have been achieved over the years in object recognition and 3D pose estimation while detecting objects and estimating their 3D poses reliably is still a very challenging problem, especially for texture-less objects in heavily cluttered scenes. In this paper, we introduce an improved approach based on multi-stage feature learning to identify object as well as their 3D orientation efficiently. Our approach is motivated by visual neuroscience models. Currently similar architectures have been successfully applied to pedestrian detection, traffic recognition, face representation, etc. We compute the feature descriptors by multi-stage convolutional neural networks (CNNs) which could map the object identity and 3D poses to the Euclidean distance space by evaluating the similarity between descriptors. By contrast with classical approaches, our method relies on fast and approximate Nearest Neighbor (NN) matching to solve the large scale problems instead of one classifier per object or multi-class classifiers whose complexity grows rapidly with the number of objects. The experiments of detecting poorly-textured objects in cluttered scenarios have been carried out to verify the effectiveness and efficacy of the proposed approach. © 2016 IEEE.

关键词： Object recognition

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Skew-symmetric Nitsche’s formulation in isogeometric analysis: Dirichlet and symmetry conditions, patch coupling and frictionless contact

arXiv

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arXiv 2017年

作者： Hu, Qingyuan Chouly, Franz Hu, Ping Cheng, Gengdong Bordas, Stéphane P.A. State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology China Institute of Computational Engineering Faculty of Sciences Technology and Communication University of Luxembourg Luxembourg Laboratoire de Mathématiques de Besançon - UMR CNRS 6623 Université Bourgogne Franche-Comté 16 route de Gray Besançon cedex25030 France Institute of Mechanics and Advanced Materials School of Engineering Cardiff University United Kingdom Intelligent Systems for Medicine Laboratory University of Western Australia Perth Australia

A simple skew-symmetric Nitsche’s formulation is introduced into the framework of isogeometric analysis (IGA) to deal with various problems in small strain elasticity: essential boundary conditions, symmetry conditions for Kirchhoff plates, patch coupling in statics and in modal analysis as well as Signorini contact conditions. For linear boundary or interface conditions, the skew-symmetric formulation is parameter-free. For contact conditions, it remains stable and accurate for a wide range of the stabilization parameter. Several numerical tests are performed to illustrate its accuracy, stability and convergence performance. We investigate particularly the effects introduced by Nitsche’s coupling, including the convergence performance and condition numbers in statics as well as the extra "outlier" frequencies and corresponding eigenmodes in structural dynamics. We present the Hertz test, the block test, and a 3D self-contact example showing that the skew-symmetric Nitsche’s formulation is a suitable approach to simulate contact problems in IGA. Copyright © 2017, The Authors. All rights reserved.

关键词： Boundary conditions

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Disturbance Rejection based on Equivalent-Input-Disturbance Approach for Nonlinear Time-Delay systems

Disturbance Rejection based on Equivalent-Input-Disturbance ...

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Asian Control Conference

作者： Fang Gao Min Wu Jinhua She Mingxing Fang Youwu Du Fang Wang College of Physics and Electronic Information Anhui Normal University Wuhu Anhui China School of Automation China University of Geosciences Wuhan Hubei China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei China School of Engineering Tokyo University of Technology Hachioji Tokyo Japan School of Electrical and Information Engineering Zhengzhou University of Light Industry Zhenzhou Henan China

ISBN: (纸本)9781509015740;9781509015733

A new disturbance rejection method to achieves good control performance for a nonlinear time-delay system is presented in this paper. This method effectively reject any disturbances. First, the configuration of the control system is constructed based on the equivalent-input-disturbance method. Then, a sufficient condition for global uniform ultimate boundedness and feedback controller are developed using linear matrix inequality. Finally, the effectiveness of the method is proved by a numerical simulation.

关键词： Matrix decomposition Observers Symmetric matrices Adaptive control Closed loop systems Steady-state

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Distributed fiber-optic vibration detection system

Distributed fiber-optic vibration detection system

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2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Yu Wang Baoquan Jin Yuncai Wang Dong Wang Xin Liu Qi Dong Key Laboratory of Advanced Transducers and Intelligent Control Systems (Ministry of Education and Shanxi Province) College of Physics and Optoelectronics Taiyuan University of Technology

In this paper the preliminary research results of distributed optical fiber vibration detection system based on-OTDR are introduced This technology has a fine positioning accuracy of less than 20 m and multi-point positioning capability for the vibration signal within a 4 km sensing fiber. The dynamic frequency range has been currently validated between 1 Hz and 60 Hz. These results provide the reference for the vibration detection in the mechanical fault diagnosis.

关键词： vibration detection fiber optic sensor Ф-OTDR mechanical fault diagnosis

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3D Smiling Facial Expression Recognition Based on SVM

3D Smiling Facial Expression Recognition Based on SVM

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IEEE International Conference on Mechatronics and Automation

作者： Shuming Liu Xiaopeng Chen Di Fan Xu Chen Fei Meng Qiang Huang Intelligent Robotics Institute School of Mechanical and Electrical Beijing Institute of Technology Beijing 100081 China Beijing Advanced Innovation Center for Intelligent Robots and System Key Laboratory of Biomimetic Robots and Systems

ISBN: (纸本)9781509023974

Using Kinect acquired RGB-D image to obtain a face feature parameters and three-dimensional coordinates of the characteristic parameters, and to select the characteristic parameter Facial by Candide-3 model, and feature extraction and normalization. Smile face expression data collection through Kinect, SVM collected to smiley face data classify and output the result of recognition, and the results compared with two-dimensional image of smiling face expression recognition results. Experimental results show that three-dimensional image of smiling face expression recognition accuracy than the two-dimensional image of smiling face. This research has important significance for the research and application of facial expression recognition technology.

关键词： Facial Expression Recognition Feature Extraction Support Vector Machine Kinect

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Design and kinematic simulation of a novel exoskeleton rehabilitation hand robot

Design and kinematic simulation of a novel exoskeleton rehab...

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IEEE International Conference on Mechatronics and Automation

作者： Shuxiang Guo Weijie Zhang Jian Guo Jiange Gao Yuye Hu Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems and Biomedical Robot Laboratory Tianjin University of Technology Tianjin China Intelligent Mechanical Systems Engineering Department Kagawa University Takamatsu Japan Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Tianjin China

ISBN: (纸本)9781509023974

The rehabilitation exoskeleton robot is more and more used in the assisting stroke patients in implementing rehabilitation training. In this paper, a novel exoskeleton hand robot which was driven by cable has been proposed to aim at helping varieties of paralyses patients recover motor function. This exoskeleton hand rehabilitation robot system mainly consists of exoskeleton hand robot, EEG system, motor controllers unit, some sensors and a workstation. And the hand exoskeleton mechanism was portable, wearable and adjustable for patients doing home rehabilitation training. Based on the parameters from human hand, the kinematic model of hand robot was established to be used in designing and the kinematic simulation experiments about this exoskeleton hand robot were done. Through the simulation software ADAMS (Automatic Dynamic Analysis of Mechanical systems), the parameters of position, angle velocity and angle accelerated velocity (PVA) of proximate inter-phalanger (DIP) distal inter-phalanger joint were simulated. And then, the movement situation of the DIP joint was obtained according to the data from the position encoder. So the velocity curve and accelerated velocity curve were obtained by calculating the actual position function derivation. The simulated results showed that this exoskeleton hand robot has high movement ability to finish the continuous passive motion (CPM). Beside that, a comparison test was done to verify whether there were some motion blocks in wearing exoskeleton robot. Through analyzing the experimental data, the error between the actual position and the simulated position of the PIP joint of the finger was very small which verified the small interference of robot. These experiments demonstrated that the exoskeleton hand robot has high efficiency movement ability for stroke patients who need to do the finger rehabilitation training. In the future, the optimization design of the exoskeleton hand robot will be done in order to improve more mov

关键词： Exoskeletons Thumb Robot sensing systems Joints Training

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