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arXiv 2021年

作者： Baid, Ujjwal Ghodasara, Satyam Mohan, Suyash Bilello, Michel Calabrese, Evan Colak, Errol Farahani, Keyvan Kalpathy-Cramer, Jayashree Kitamura, Felipe C. Pati, Sarthak Prevedello, Luciano M. Rudie, Jeffrey D. Sako, Chiharu Shinohara, Russell T. Bergquist, Timothy Chai, Rong Eddy, James Elliott, Julia Reade, Walter Schaffter, Thomas Yu, Thomas Zheng, Jiaxin Moawad, Ahmed W. Coelho, Luiz Otavio McDonnell, Olivia Miller, Elka Morón, Fanny E. Oswood, Mark C. Shih, Robert Y. Siakallis, Loizos Bronstein, Yulia Mason, James R. Miller, Anthony F. Choudhary, Gagandeep Agarwal, Aanchal Besada, Cristina H. Derakhshan, Jamal J. Diogo, Mariana C. Do-Dai, Daniel D. Farage, Luciano Go, John L. Hadi, Mohiuddin Hill, Virginia B. Iv, Michael Joyner, David Lincoln, Christie Lotan, Eyal Miyakoshi, Asako Sanchez-Montaño, Mariana Nath, Jaya Nguyen, Xuan V. Nicolas-Jilwan, Manal Jimenez, Johanna Ortiz Ozturk, Kerem Petrovic, Bojan D. Shah, Chintan Shah, Lubdha M. Sharma, Manas Simsek, Onur Singh, Achint K. Soman, Salil Statsevych, Volodymyr Weinberg, Brent D. Young, Robert J. Ikuta, Ichiro Agarwal, Amit K. Cambron, Sword C. Silbergleit, Richard Dusoi, Alexandru Postma, Alida A. Letourneau-Guillon, Laurent Pérez-Carrillo, Gloria J. Guzmán Saha, Atin Soni, Neetu Zaharchuk, Greg Zohrabian, Vahe M. Chen, Yingming Cekic, Milos M. Rahman, Akm Small, Juan E. Sethi, Varun Davatzikos, Christos Mongan, John Hess, Christopher Cha, Soonmee Villanueva-Meyer, Javier Freymann, John B. Kirby, Justin S. Wiestler, Benedikt Crivellaro, Priscila Colen, Rivka R. Kotrotsou, Aikaterini Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Fathallah-Shaykh, Hassan Wiest, Roland Jakab, Andras Weber, Marc-André Mahajan, Abhishek Menze, Bjoern Flanders, Adam E. Bakas, Spyridon University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Radiology & Biomedical Imaging University of California San FranciscoCA United States Unity Health Toronto University of Toronto TorontoON Canada Center for Biomedical Informatics and Information Technology National Cancer Institute National Institutes of Health Athinoula A. Martinos Center for Biomedical Imaging MGH Harvard Medical School MA United States Department of Radiology Thomas Jefferson University PhiladelphiaPA United States São Paulo Brazil São Paulo Brazil Department of Informatics Technical University of Munich Munich Germany The Ohio State University Wexner Medical Center ColumbusOH United States Penn Statistics in Imaging and Visualization Center Department of Biostatistics Epidemiology and Informatics Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Sage Bionetworks SeattleWA United States Kaggle Center for Intelligent Imaging University of California San FranciscoCA United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Department of Neuroradiology Klinikum rechts der Isar School of Medicine Technical University of Munich München Germany Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Hillman Cancer Center University of Pittsburgh Medical Center PittsburghPA15232 United States Neuroimaging Informatics and Analysis Center Washington University in St. Louis St. LouisMO United States Department of Radiology Washington University in St. Louis St. LouisMO United States Department of Neurology The University of Alabama at Birmingham BirminghamAL U

The BraTS 2021 challenge celebrates its 10thanniversary and is jointly organized by the Radiological Society of North America (RSNA), the American Society of Neuroradiology (ASNR), and the Medical Image Computing and Computer Assisted Interventions (MICCAI) society. Since its inception, BraTS has been focusing on being a common benchmarking venue for brain glioma segmentation algorithms, with well-curated multi-institutional multi-parametric magnetic resonance imaging (mpMRI) data. Gliomas are the most common primary malignancies of the central nervous system, with varying degrees of aggressiveness and prognosis. The RSNA-ASNR-MICCAI BraTS 2021 challenge targets the evaluation of computational algorithms assessing the same tumor compartmentalization, as well as the underlying tumor's molecular characterization, in pre-operative baseline mpMRI data from 2,040 patients. Specifically, the two tasks that BraTS 2021 focuses on are: a) the segmentation of the histologically distinct brain tumor sub-regions, and b) the classification of the tumor's O[6]-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. The performance evaluation of all participating algorithms in BraTS 2021 will be conducted through the Sage Bionetworks Synapse platform (Task 1) and Kaggle (Task 2), concluding in distributing to the top ranked participants monetary awards of $60,000 collectively. © 2021, CC BY.

关键词： Tumors

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Research of Visual Servo Control system for Space intelligent Robot

Research of Visual Servo Control System for Space Intelligen...

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2015 IEEE advanced Information technology,Electronic and Automation Control Conference(IAEAC 2015)

作者： Liang Changchun Zhang Xiaodong Pan Dong Liu Xin Beijing Key Laboratory of Intelligent Space Robotic System Technology and Applications Beijing Institute of Spacecraft System Engineering CAST

ISBN: (纸本)9781479919819

Space intelligent robotic systems are expected to play an increasingly important role in the *** robotic onorbital service,whose key is the tracking and capturing technology,becomes research hot in recent *** this paper,the authors propose a vision servo control system for target *** manipulator will be an intelligent robotic system with large-scale movement,functional agility,and autonomous ability,and it can be operated by astronauts in the space station or be controlled by the ground operator in the remote operation *** realize the autonomous movement and capture mission of SRM,a kind of autonomous programming strategy based on multi-camera vision fusion is designed and the selection principle of object visual position and orientation measurement information is defined for the better *** control system hierarchy is designed and reliability is considering to guarantee the abilities of control *** last,a ground experiment system is set up based on the concept of robotic control *** that,the autonomous target capturing experiments are *** experiment results validate the proposed algorithm,and demonstrates that the control system can fulfill the needs of function,real-time and reliability.

关键词： Control system On-orbital service Space robot Vision servo

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Semantic and Neighborhood Preserving Dictionar Learning for Symmetric Positive-Definite Matrice

Semantic and Neighborhood Preserving Dictionar Learning for ...

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2016 IEEE 13th International Conference on Signal Processing（ICSP2016）

作者： Daming Li Lei Chen Fei Wang The School of Electronic and Information Engineering Xi’an Jiaotong University Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing Institute of Spacecraft System Engineering

The symmetric positive-definite(SPD) matrices form a Riemannian manifold, and sparse representation on the SPD matrix manifold has received increasingly attentions recently. In this paper, we propose a semantic and neighborhood preserving dictionary learning method for the sparse representation on the SPD matrix manifold. The semantic preserving ensures that the semantic similarity information can be kept while sparse representation, and the neighborhood preserving is introduced to better reflect the geometrical structure of the manifold. To effectively model the semantic similarity of the SPD matrices and the geometrical structure, a Laplacian smooth operator is incorporated into the objective function of dictionary *** the learned dictionary, the obtained sparse representations of SPD matrices are more discriminative. Experimental results on publicly available datasets demonstrate the effectiveness of the proposed method.

关键词： Dictionary learning symmetric positive-definite matrix sparse representation Riemannian manifold

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A kind of online self-tuning smith predictor

A kind of online self-tuning smith predictor

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IEEE International Conference on Mechatronics and Automation

作者： Xu Chen Fei Meng Xiaopeng Chen Qiang Huang Intelligent Robotics Institute Beijing Institute of Technology Beijing China Beijing Advanced Innovation Center for Intelligent Robots and System Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Beijing Institute of Technology Beijing China International Joint Research Laboratory of Biomimetic Key Laboratory of Intelligent Control and Decision of Comp lex System Beijing China

ISBN: (纸本)9781509023974

This paper presents an online self-tuning Smith Predictor for the First Order Plus Dead Time Model (FOPDT). It can tune time delay through oscillated input and output. Realtime phase difference detection is used to obtain the phase difference between the input and the output. An online tuner is used to minimize the phase difference. Once the phase difference is minimized, the exact time delay is completely compensated. Our method is suitable for both systems with constant time delay or variant time delay.

关键词： Delay effects Temperature control Delays Predictive models Oscillators Robots

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Virtual Constraint Based Adaptive Control for Biped Robot with Speed Regulation

Virtual Constraint Based Adaptive Control for Biped Robot wi...

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IEEE International Conference on Mechatronics and Automation

作者： Jianfei Li Yaobing Wang Dawei Zhang Li Liu Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing Institute of Spacecraft System Engineering Beijing China Center of Excellence for Intelligent Mechanical Systems College of Engineering Peking University Beijing China

ISBN: (纸本)9781509023974

The Virtual Holonomic Constraint (VHC) approach, with its flexibility and stability, is drawing more attentions in generating gait for biped robots. This paper generalizes the VHC approach by adding other variables such as walking speed to the constraint functions. The robot is able to walk up or down along slopes with commanded speeds, and more importantly, allows it to walk continuously and steadily in varying surfaces. In addition, the control approach named Partial Decoupling Control is used to implement the VHC, which at the first time equips the VHC approach with the parameter adaptation laws which significantly improves the stability and performance of the systems. Full dynamics simulations with a five-bar planar robot are used to illustrate the effectiveness of the proposed approach.

关键词： adaptive control virtual constraints VHC biped robot speed regulation

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Surface Plasmon Assisted Organic Photovoltaic Cells

Surface Plasmon Assisted Organic Photovoltaic Cells

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第三届新型太阳能电池学术研讨会

作者： Yanxia Cui Yuying Hao Peiqian Tong Fan Yang Yang Hao Furong Zhu Key Laboratory of Advanced Transducers and Intelligent Control System (Ministry of Education) Taiyuan University of Technology Department of Physics and Institute of Advanced Materials Hong Kong Baptist University

Organic photovoltaic(OPV)cells have been thoroughly investigated in the past decade owing to the advantages of low cost,flexibility,light weight,easy fabrication,semi-transparency and colorfulness,*** the efficiency o... 详细信息

关键词： OPV PCE Surface Plasmon Assisted Organic Photovoltaic Cells

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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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Rotating soft-Tail millimeter-scaled swimmers with superhydrophilic or superhydrophobic surfaces 6

Rotating soft-Tail millimeter-scaled swimmers with superhydr...

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6th IEEE RAS/EMBS International Conference on Biomedical robotics and Biomechatronics, BioRob 2016

作者： Xu, Tiantian Vong, Chi-Ian Wang, Ben Liu, Lianqing Wu, Xinyu Zhang, Li Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China Shatin NT Hong Kong SAR Hong Kong State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Shenzhen Research Institute Chinese University of Hong Kong Shenzhen China Chow Yuk Ho Technology Centre for Innovative Medicine Chinese University of Hong Kong Hong Kong SAR Hong Kong

ISBN: (纸本)9781509032877

Microswimmers capable of propulsion at low Reynolds numbers have great potential for numerous applications. Several kinds of artificial microswimmers, actuated by magnetic fields, with rigid helical tails have been developed. In previous works, we demonstrated that a magnetic swimmer with a soft tail could form a helical shape during rotation to propel itself at low Reynolds numbers. The advantage of compliant structures is that the high softness makes swimmers more adaptive in confined or complex environments. The interfacial friction drags are reduced by using superhydrophobic surfaces. Therefore, this paper aims to study the influence of surface and interface properties, particularly the hydrophilicity and hydrophobicity of the soft tail surface, on the swimming performance. For this, we compared the swimming performance of two millimeter-scaled swimmers with a superhydrophilic soft tail and a superhydrophobic soft tail, respectively, in viscous liquids. The two swimmers exhibit different dynamic morphologies and swimming performance with the same input parameters. The swimmer with a superhydrophobic soft tail shows higher swimming velocity than that with a superhydrophilic soft tail, except in pure glycerol. The present work provides useful informations for selecting surface coating of swimmers with soft tails at low Reynolds numbers. © 2016 IEEE.

关键词： Propulsion

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A hybrid-integrated external cavity laser with ultra-wide wavelength tuning range and high side-mode suppression

A hybrid-integrated external cavity laser with ultra-wide wa...

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Optical Fiber Communication Conference, OFC 2016

作者： Guo, Yuyao Li, Xinhang Xu, Weihan Liu, Chuxin Jin, Minhui Lu, Liangjun Xie, Jingya Stroganov, Anton Chen, Jianping Zhou, Linjie State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Institute for Advanced Communication and Data Science Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China Terahertz Technology Innovation Research Institute Terahertz Spectrum and Imaging Technology Cooperative Innovation Center Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai200093 China LIGENTEC SA EPFL Innovation Park Bâtiment L Ecublens1024 Switzerland

We present a III-V/Si3N4 hybrid-integrated tunable laser. The laser shows a record of ~170-nm tuning range with a side mode suppression ratio above 64 dB and an intrinsic linewidth below 2.8 kHz. © 2022 The Autho...

ISBN: (纸本)9781943580071

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Research of integration simulation system of space dual-arm robot

Research of integration simulation system of space dual-arm ...

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IEEE International Conference on robotics and Biomimetics, IEEE-ROBIO 2015

作者： Xiaodong, Zhang Yafang, Liu Yaobing, Wang Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Institute of Spacecraft System Engineering CAST Beijing China

ISBN: (纸本)9781467396745

A set of integrated simulation system of space dual-arm robot is developed in the paper. Based on modular design concept, the system is composed of the communication module, task scheduling management module, path planning module, dynamic control module, 3D geometric model and collision detection module and the system uses C programming language and Visual Studio 2010 to realize the key algorithm while the entity model and the simulation scenarios are created by OSG (Open Scene Graph). Compared with other simulation methods, this method is stronger in visualization and post-processing, which can also realize closed-loop control of the key algorithm. Finally, the application simulations are implemented to verify the algorithms of coordinated space dual-arm robot by using this system. The results show the effectiveness of the system and verify the feasibility of mission planning. © 2015 IEEE.

关键词： Motion planning

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