检索结果-内蒙古大学图书馆

arXiv 2020年

作者： Arnaud, M. Ettori, S. Pratt, Gabriel W. Rossetti, M. Eckert, D. Gastaldello, F. Gavazzi, R. Kay, S.T. Lovisari, L. Maughan, B.J. Pointecouteau, E. Sereno, M. Bartalucci, I. Bonafede, A. Bourdin, H. Cassano, R. Duffy, R.T. Iqbal, A. Maurogordato, S. Rasia, E. Sayers, J. Andrade-Santos, F. Aussel, H. Barnes, D.J. Barrena, R. Borgani, S. Burkutean, S. Clerc, N. Corasaniti, P.-S. Cuillandre, J.-C. de Grandi, S. de Petris, M. Dolag, K. Donahue, M. Ferragamo, A. Gaspari, M. Ghizzardi, S. Gitti, M. Haines, C.P. Jauzac, M. Johnston-Hollitt, M. Jones, C. Kéruzoré, F. LeBrun, A.M.C. Mayet, F. Mazzotta, P. Melin, J.-B. Molendi, S. Nonino, M. Okabe, N. Paltani, S. Perotto, L. Pires, S. Radovich, M. Rubino-Martin, J.-A. Salvati, L. Saro, A. Sartoris, B. Schellenberger, G. Streblyanska, A. Tarrío, P. Tozzi, P. Umetsu, K. van der Burg, R.F.J. Vazza, F. Venturi, T. Yepes, G. Zarattini, S. AIM CEA CNRS Université Paris-Saclay Université Paris Diderot Sorbonne Paris Cité Gif-sur-YvetteF-91191 France INAF Osservatorio di Astrofisica e Scienza dello Spazio via Pietro Gobetti 93/3 Bologna40129 Italy INFN Sezione di Bologna viale Berti Pichat 6/2 BolognaI-40127 Italy INAF IASF-Milano via A. Corti 12 MilanoI-20133 Italy Department of Astronomy University of Geneva ch. d'Écogia 16 VersoixCH-1290 Switzerland CNRS Sorbonne Université UMR 7095 Institut d'Astrophysique de Paris 98 bis Boulevard Arago Paris75014 France Jodrell Bank Centre for Astrophysics Department of Physics and Astronomy School of Natural Sciences The University of Manchester ManchesterM13 9PL United Kingdom Center for Astrophysics | Harvard & Smithsonian 60 Garden Street CambridgeMA02138 United States HH Wills Physics Laboratory University of Bristol Tyndall Ave BristolBS8 1TL United Kingdom IRAP Université de Toulouse CNRS CNES UPS 9 av du colonel Roche BP44346 Toulouse Cedex 431028 France Dipartimento di Fisica e Astronomia Universitá di Bologna Via Gobetti 92/3 Bologna40121 Italy INAF Istituto di Radio Astronomia Via Gobetti 101 Bologna40129 Italy Hamburger Sternwarte Gojenbergsweg 112 Hamburg21029 Germany Università degli studi di Roma Tor Vergata via della ricerca scientifica 1 Roma00133 Italy Université Côte d'Azur Observatoire de la Côte d'Azur CNRS Laboratoire Lagrange Nice France INAF - Osservatorio Astronomico di Trieste via Tiepolo 11 TriesteI-34131 Italy IFPU - Institute for Fundamental Physics of the Universe via Beirut 2 Trieste34151 Italy California Institute of Technology PasadenaCA91125 United States Department of Physics Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology CambridgeMA02139 United States C/ Vía Láctea s/n La Laguna TenerifeE-38205 Spain Universidad de La Laguna Departamento de Astrofísica C/ Astrofísico Francisco Sánchez s/n La Laguna TenerifeE-38206 Spain D

The Cluster HEritage project with XMM-Newton - Mass Assembly and Thermodynamics at the Endpoint of structure formation (CHEX-MATE) is a three-mega-second Multi-Year Heritage programme to obtain X-ray observations of a minimally-biased, signal-to-noise-limited sample of 118 galaxy clusters detected by Planck through the Sunyaev-Zeldovich effect. The programme, described in detail in this paper, aims to study the ultimate products of structure formation in time and mass. It is composed of a census of the most recent objects to have formed (Tier-1: 0.05 14 M 500 14 M), together with a sample of the highest mass objects in the Universe (Tier-2: z 500 > 7.25 × 1014 M). The programme will yield an accurate vision of the statistical properties of the underlying population, measure how the gas properties are shaped by collapse into the dark matter halo, uncover the provenance of non-gravitational heating, and resolve the major uncertainties in mass determination that limit the use of clusters for cosmological parameter estimation. We will acquire X-ray exposures of uniform depth, designed to obtain individual mass measurements accurate to 15 − 20% under the hydrostatic assumption. We present the project motivations, describe the programme definition, and detail the ongoing multi-wavelength observational (lensing, SZ, radio) and theoretical effort that is being deployed in support of the project. Copyright © 2020, The Authors. All rights reserved.

关键词： Thermodynamics

来源：评论

学校读者我要写书评

暂无评论

Publisher Correction: Alpha-synuclein facilitates to form short unconventional microtubules that have a unique function in the axonal transport

引用

Scientific reports 2018年第1期8卷 8019页

作者： Shiori Toba Mingyue Jin Masami Yamada Kanako Kumamoto Sakiko Matsumoto Takuo Yasunaga Yuko Fukunaga Atsuo Miyazawa Sakiko Fujita Kyoko Itoh Shinji Fushiki Hiroaki Kojima Hideki Wanibuchi Yoshiyuki Arai Takeharu Nagai Shinji Hirotsune Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. Department of Bioscience and Bioinformatics Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka Fukuoka 820-850 Japan. JST-SENTAN 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. JST-CREST 4-1-8 Honcho Kawaguchi Saitama 332-0012 Japan. Graduate School of Life Science University of Hyogo 3-2-1 Kouto Kamigori-cho Ako-gun Hyogo 678-1297 Japan. RSC-University of Hyogo Leading Program Center RIKEN SPring-8 Center 1-1-1 Kouto Sayo-cho Sayo-gun Hyogo 679-5148 Japan. Graduate School of Materials Science Nara Institute of Science and Technology 8916-5 Takayama Ikoma Nara 630-0101 Japan. Department of Pathology and Applied Neurobiology Kyoto Prefectural University of Medicine Graduate School of Medical Sciences Kajii-cho Kawaramachi-Hirokoji Kamigyo-ku Kyoto 602-8566 Japan. Advanced ICT Research Institute National Institute of Information and Communications Technology 588-2 Iwaoka Nishi-ku Kobe 651-2492 Japan. Department of Pathology Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8586 Japan. Department of Biomolecular Science and Engineering Institute of Scientific and Industrial Research Osaka University Mihoga-oka 8-1 Osaka 567-0047 Japan. Department of Genetic Disease Research Osaka City University Graduate School of Medicine Asahi-machi 1-4-3 Abeno Osaka 545-8585 Japan. shinjih@med.osaka-cu.ac.jp.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-crease self-folding by global heating

Multi-crease self-folding by global heating

引用

作者： Miyashita, Shuhei Onal, Cagdas D. Rus, Daniela Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology 32 Vassar Street 32-379 CambridgeMA02139 United States Worcester Polytechnic Institute Department of Mechanical Engineering Robotics Engineering Program 100 Institute Rd. HL 105 WorcesterMA01609 United States

This study demonstrates a new approach to autonomous folding for the body of a 3D robot from a 2D sheet, using heat. We approach this challenge by folding a 0.27-mm sheetlike material into a structure. We utilize the thermal deformation of a contractive sheet sandwiched by rigid structural layers. During this baking process, the heat applied on the entire sheet induces contraction of the contracting layer and thus forms an instructed bend in the sheet. To attain the targeted folding angles, the V-fold spans method is used. The targeted angle θout can be kinematically encoded into crease geometry. The realization of this angle in the folded structure can be approximately controlled by a contraction angle θin. The process is non-reversible, is reliable, and is relatively fast. Our method can be applied simultaneously to all the folds in multi-crease origami structures. We demonstrate the use of this method to create a lightweight mobile robot. © 2015 Massachusetts Institute of Technology.

关键词： Self assembly

来源：评论

学校读者我要写书评

暂无评论

FSMEC: A feature selection method based on the minimum spanning tree and evolutionary computation 13

FSMEC: A feature selection method based on the minimum spann...

引用

13th Australasian Data Mining Conference, AusDM 2015

作者： Zaher, Amer Abu Berretta, Regina Arefin, Ahmed Shamsul Moscato, Pablo The Priority Research Centre for Bioinformatics The University of Newcastle Biomarker Discovery and Information-based Medicine Information-based Medicine Program Hunter Medical Research Institute School of Electrical Engineering and Computer Science Australia

ISBN: (纸本)9781921770180

In feature selection we aim at reducing the dimensionality of a dataset by excluding characteristics that do not compromise, and potentially enhance, the classification of a set of samples. We present a new type of supervised and multivariate feature selection approach that works by constructing proximity graphs in such a way that the number of edges connecting samples from different classes is minimised. We present this general idea using the Minimum Spanning Tree as a proximity graph and an Evolutionary Algorithm approach is used to search for a feature subset. We compare the performance of our algorithm against other feature selection methods, (alpha,beta)-k-Feature Set, and a ranking-based feature selection method, based on the use of CM1-scores. We employ two publicly available real-world datasets (one with training and test variants). The classification accuracies have been evaluated using a total of 49 methods from an open source data mining and machine learning package WEKA. © 2015, Australian computer Society, Inc.

关键词： Evolutionary algorithms

来源：评论

学校读者我要写书评

暂无评论

25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

引用

BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Anti-interference EEG-EOG Hybrid Detection Approach for Motor Image Identification and Eye Track Recognition

An Anti-interference EEG-EOG Hybrid Detection Approach for M...

引用

第三十四届中国控制会议

作者： Haoyue Tang Yue Zhao Wei He Wei Fu School of Computer Science and Technology University of Electronic Science and Technology of China School of Automation Engineering University of Electronic Science and Technology of China School of Automation Engineering & Center for Robotics University of Electronic Science and Technology of China

ISBN: (纸本)9781467374439

In this paper, an anti-interference EEG-EOG hybrid detection approach is adopted for motor image identification and eye track recognition. We present a wave trap filter and a band pass filter to suppress power frequency interference and white noise. Meanwhile, the filter can still separate EEG and EOG signal from hybrid signal. Then, the features of EEG/EOG signal are extracted by the wavelet transform algorithm, and classified by the linear discriminant analysis(LDA) *** effectiveness of the signal process method described in this paper can be clearly observed through both of simulations and experiments, and the accuracy rate of pattern recognition is demonstrated in the end of the paper.

关键词： EEG signal,EOG signal,wavelet transform,LDA algorithm

来源：评论

学校读者我要写书评

暂无评论

Boundary Control Design and Stability Analysis of an Euler-Bernoulli Beam System with Input Backlash

Boundary Control Design and Stability Analysis of an Euler-B...

引用

第三十四届中国控制会议

作者： Xiuyu He Wei He Hui Qin Chang Liu Center for Robotics and School of Automation Engineering University of Electronic Science and Technology of China Department of Mathematics and Computer Science Eindhoven University of Technology

ISBN: (纸本)9781467374439

This paper investigates the vibration control of an Euler-Bernoulli Beam with nonlinear backlash input. Based on the dynamical model of the flexible beam, the boundary control law and the disturbance observer are designed to suppress the vibration of the system and reduce the effect of the backlash. The stability of the closed-loop system is proved and the uniform boundness of the states of the system is achieved. The proposed boundary control with appropriate parameters is proved to be effective by the performance of numerical simulations of the flexible beam system.

关键词： Input Backlash Flexible Beam Distributed Parameter Systems Vibration Control

来源：评论

学校读者我要写书评

暂无评论

Unscented Particle Filter Using Scaled Spherical Simplex UKF

Unscented Particle Filter Using Scaled Spherical Simplex UKF

引用

第三十四届中国控制会议

作者： Peng Tang Guang qiong-Zhao Shao gang-Chen Zhong liang-Tang Wei He School of Computer Science and Engineering University of Electronic Science and Technology of China School of Mathematical Sciences University of Electronic Science and Technology of China Center for Robotics University of Electronic Science and Technology of China

ISBN: (纸本)9781467374439

In order to reduce the computation burden of conventional unscented particle filter, a method for particle filter based on spherical simplex unscented transformation(SSUT) is proposed. This method uses spherical simplex unscented Kalman filter to generate importance distribution of particle filter. It can extend its overlaps and posterior probability density, and reduce the computation burden by reducing sigma points. However, the sigma point set coverage radius expends over dimension of state space, which results in the deterioration of the aggregation of sigma points. Auxiliary random variable formulation of the scaled transformation can overcome the defect of sigma point set distribution expansion. So the scaled spherical simplex unscented particle filter(SSSUPF) is introduced. The simulation results show that compared with conventional unscented particle filter(UPF), the computation complexity of SSSUPF can be reduced by 50 percent, and compared with spherical simplex unscented particle filter(SSUPF), SSSUPF reduces the system noise and the measurement noise variance estimation error.

关键词： Spherical simplex unscented transformation,Scaled transformation,Particle filter,Nonlinear non-Gaussian

来源：评论

学校读者我要写书评

暂无评论

A study for understanding of tourist person trip pattern based on log data of Wi-Fi access points

A study for understanding of tourist person trip pattern bas...

引用

IEEE International Conference on Big Data

作者： Yu Ichifuji Yoshihide Matsuo Noriaki Koide Nobuhiro Akashi Yoshitaka Terai Toru Kobayashi Center for Information and Communication Technology Nagasaki University Nagasaki Japan Information and Society Research Division National Institute of Informatics Tokyo Japan Tourism promotion division Nagasaki Prefectural Government Nagasaki Japan Nagasaki Business Department Nippon Telegraph and Telephone WEST Corporation Nagasaki Japan Computer and Information Science Program School of Engineering Nagasaki University Nagasaki Japan

ISBN: (纸本)9781467390064

Statistical tourism data are critical to supporting tourism policy decisions. Such data are normally compiled via questionnaires or interviews, which requires both time and money, thus making such data unusable for policy decision-making to occur in real-time. To support real-time policy decision-making, we focused on person trip data for promoting tourism. The city government can reflect such data on tourism events and guidebooks if it has a grasp of tourist person trip patterns. In this paper, we focused on using the log data of Wi-Fi access points available at each tourist spot. Wi-Fi access points have log data that keep track of the timestamps of users connecting and disconnecting from the Wi-Fi. We can visualize the movements of tourists using these data; however, there is bias among Wi-Fi users. Therefore, we must evaluate the Wi-Fi log data to verify they are representative of almost all tourists. More specifically, we evaluated log data for Goto City to determine whether the government's data were equivalent to the log data. We also showed the possibility of visualizing tourist movement history based on our log data.

关键词： IEEE 802.11 Standard Urban areas Sensors Government History Data visualization Mobile communication

来源：评论

学校读者我要写书评

暂无评论

Multiple Model Adaptive Estimation for the Celestial Navigation System

Multiple Model Adaptive Estimation for the Celestial Navigat...

引用

第三十四届中国控制会议

作者： Hui Peng Fangfang Zhao Shuangfei Fan Zhongliang Tang Wei He School of Computer Science and Engineering University of Electronic Science and Technology of China College of engineering Virginia Polytechnic Institute and State University Center for Robotics University of Electronic Science and Technology of China

ISBN: (纸本)9781467374439

This paper describes the application of multiple model adaptive unscented kalman filters(MMAUKF) algorithm to celestial navigation system. Unscented Kalman filters are utilized to estimate the terminal system state of each model and to generate residual signals. In the multiple-model adaptive estimation technique, the residual signals are used to generate probabilities, which determine the correctness of state estimation of each unscented kalman filter. This algorithm demonstrates better precision than UKF, compared with single model celestial navigation system by simulation. Simulation results show that introducing multiple model adaptive estimation theory into celestial navigation system combined with UKF can enhance the adaptability of system scheme to the environment, meanwhile, greatly improve the accuracy of celestial navigation system.

关键词： Multiple model adaptive estimation,celestial navigation system,unscented Kalman filter

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：