检索结果-内蒙古大学图书馆

2016 4th International Conference on Machinery,Materials and Information technology Applications(ICMMITA 2016)

作者： Yu GUO Junting WU Ke-wei YANG Lixin Yu College of Information System and Management National University of Defense Technology Science and Technology on Special System Simulation Laboratory Beijing Simulation Center

ISBN: (纸本)9781510835467

Currently, Internet and big data as the representative of emerging technologies are widely penetrated into every aspect of the high-end equipment manufacturing industry. Considering the characteristics of multi-source, personalized and potential for high-end equipment, this paper focuses on requirement elicitation in the background of Internet, and proposes a high-end equipment requirement elicitation model based on requirement classification, which stands on the perspective of management to study the high-end equipment requirement elicitation. First, we classify the user's need, and then different technical means are taken orienting different types of needs. In this paper, according to users' master degree of requirement, requirements can be divided into instant user requirement and potential user requirement. For instant user requirement, we design a requirement interaction platform based on Internet;For potential user requirement, a requirement mining model based on the open source information of the Internet is established. Eventually, a complete user requirement program is integrated. In conclusion, the idea of classifying the requirements provides a new perspective on requirement elicitation of high-end equipment.

关键词： high-end equipment Internet requirement elicitation requirement classification

来源：评论

学校读者我要写书评

暂无评论

A Robust Path Following Controller for a Small Unmanned Aerial Vehicle with Constrained Parameters Optimized

A Robust Path Following Controller for a Small Unmanned Aeri...

引用

International Conference on Information science and Control Engineering (ICISCE)

作者： Yang Chen Chaolei Wang School of Mechanical and Electrical Engineering Longyan University Longyan China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing China

ISBN: (纸本)9781509025367

This paper proposes a nonlinear controller that allows the unmanned air vehicle (UAV) to follow a predefined path. The controller only needs the information of the inertial speed of the UAV and the distance between the vehicle and the desired path. In order to improve the performance of the controller, a parameter of the controller is optimized by using the concept of model predictive control (MPC). Lyapunov stability arguments are used to demonstrate that the path following error will be regulated to zero, even in the presence of wind disturbances. simulation results in Matlab are given to show the effectiveness of the controller. The simulation results show that the proposed path following controller with parameter optimized by MPC (PLC_MPC) which takes the advantages of the predictive ability of the MPC and the simple structure of the normal path following controller (PLC) has better path following performance than that by using the PLC method.

关键词： Unmanned aerial vehicles Mathematical model Optimization Stability analysis Trajectory Lyapunov methods

来源：评论

学校读者我要写书评

暂无评论

Overview of KAGRA: KAGRA science

arXiv

引用

arXiv 2020年

作者： Akutsu, T. Ando, M. Arai, K. Arai, Y. Araki, S. Araya, A. Aritomi, N. Asada, H. Aso, Y. Bae, S. Bae, Y. Baiotti, L. Bajpai, R. Barton, M.A. Cannon, K. Cao, Z. Capocasa, E. Chan, M. Chen, C. Chen, K. Chen, Y. Chiang, C.-Y. Chu, H. Chu, Y.-K. Eguchi, S. Enomoto, Y. Flaminio, R. Fujii, Y. Fujikawa, F. Fukunaga, M. Fukushima, M. Gao, D. Ge, G. Ha, S. Hagiwara, A. Haino, S. Han, W.-B. Hasegawa, K. Hattori, K. Hayakawa, H. Hayama, K. Himemoto, Y. Hiranuma, Y. Hirata, N. Hirose, E. Hong, Z. Hsieh, B.H. Huang, C.-Z. Huang, H.-Y. Huang, P. Huang, Y.-C. Huang, Y. Hui, D.C.Y. Ide, S. Ikenoue, B. Imam, S. Inayoshi, K. Inoue, Y. Ioka, K. Ito, K. Itoh, Y. Izumi, K. Jeon, C. Jin, H.-B. Jung, K. Jung, P. Kaihotsu, K. Kajita, T. Kakizaki, M. Kamiizumi, M. Kanda, N. Kang, G. Kashiyama, K. Kawaguchi, K. Kawai, N. Kawasaki, T. Kim, C. Kim, J. Kim, J.C. Kim, W.S. Kim, Y.-M. Kimura, N. Kita, N. Kitazawa, H. Kojima, Y. Kokeyama, K. Komori, K. Kong, A.K.H. Kotake, K. Kozakai, C. Kozu, R. Kumar, R. Kume, J. Kuo, C. Kuo, H.-S. Kuromiya, Y. Kuroyanagi, S. Kusayanagi, K. Kwak, K. Lee, H.K. Lee, H.W. Lee, R. Leonardi, M. Li, T.G.F. Li, K.L. Lin, L.C.-C. Lin, C.-Y. Lin, F.-K. Lin, F.-L. Lin, H.L. Liu, G.C. Luo, L.-W. Majorana, E. Marchio, M. Michimura, Y. Mio, N. Miyakawa, O. Miyamoto, A. Miyazaki, Y. Miyo, K. Miyoki, S. Mori, Y. Morisaki, S. Moriwaki, Y. Nagano, K. Nagano, S. Nakamura, K. Nakano, H. Nakano, M. Nakashima, R. Nakayama, Y. Narikawa, T. Naticchioni, L. Negishi, R. Nguyen Quynh, L. Ni, W.-T. Nishizawa, Atsushi Nozaki, S. Obuchi, Y. Ogaki, W. Oh, J.J. Oh, K. Oh, S.H. Ohashi, M. Ohishi, N. Ohkawa, M. Ohta, H. Okutani, Y. Okutomi, K. Oohara, K. Ooi, C.P. Oshino, S. Otabe, S. Pan, K. Pang, H. Parisi, A. Park, J. Peña Arellano, F.E. Pinto, I. Sago, N. Saito, S. Saito, Y. Sakai, K. Sakai, Y. Sakuno, Y. Sato, S. Sato, T. Sawada, T. Mitaka City Tokyo181-8588 Japan Mitaka City Tokyo181-8588 Japan Department of Physics University of Tokyo Bunkyo-ku Tokyo113-0033 Japan University of Tokyo Bunkyo-ku Tokyo113-0033 Japan KAGRA Observatory University of Tokyo Kashiwa City Chiba277-8582 Japan Tsukuba City Ibaraki305-0801 Japan Earthquake Research Institute University of Tokyo Bunkyo-ku Tokyo113-0032 Japan Department of Mathematics and Physics Hirosaki University Hirosaki City Aomori036-8561 Japan Kamioka-cho Hida City Gifu506-1205 Japan Mitaka City Tokyo181-8588 Japan Yuseong-gu Daejeon34141 Korea Republic of National Institute for Mathematical Sciences Daejeon34047 Korea Republic of International College Osaka University Toyonaka City Osaka560-0043 Japan Tsukuba City Ibaraki305-0801 Japan Department of Astronomy Beijing Normal University Beijing100875 China Department of Applied Physics Fukuoka University Jonan Fukuoka City Fukuoka814-0180 Japan Department of Physics Tamkang University Danshui Dist. New Taipei City25137 Taiwan Department of Physics and Institute of Astronomy National Tsing Hua University Hsinchu30013 Taiwan Department of Physics Center for High Energy and High Field Physics National Central University Zhongli District Taoyuan City32001 Taiwan Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Université Savoie Mont Blanc CNRS/IN2P3 AnnecyF-74941 France Department of Astronomy University of Tokyo Mitaka City Tokyo181-8588 Japan Faculty of Engineering Niigata University Nishi-ku Niigata City Niigata950-2181 Japan State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics China Chinese Academy of Sciences Xiao Hong Shan Wuhan430071 China Ulsan44919 Korea Republic of Tsukuba City Ibaraki305-0801 Japan Chinese Academy of Sciences Shanghai Astronomical Observatory Shanghai200030 China Faculty of Science University of Toyama Toyama City Toyama930-8555 Japan KAGRA

KAGRA is a newly build GW observatory, a laser interferometer with 3 km arm length, located in Kamioka, Gifu, Japan. In this paper in the series of KAGRA-featured articles, we discuss the science targets of KAGRA projects, considering not only the baseline KAGRA (current design) but also its future upgrade candidates (KAGRA+) for the near to middle term (∼5 years). Copyright © 2020, The Authors. All rights reserved.

关键词： Interferometers

来源：评论

学校读者我要写书评

暂无评论

Enhanced null message algorithm for hybrid parallel simulation systems with large disparity in time step

Enhanced null message algorithm for hybrid parallel simulati...

引用

International Workshop/Symposium on Distributed simulation and Real-Time Applications (DS-RT)

作者： Bin Wang Yanlong Zhai Zishuo Wang Han Zhang Duzheng Qing Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Applications Bijing Institute of Technology Beijing China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center China

ISBN: (纸本)9781509035069

Modeling and simulation has received significant attention over the years for its ability to understand and transform real world systems. With the increasing of complexity and scale of the simulated systems, more computational power is required. Parallel discrete event simulation(PDES) is an important technology to integrate parallel computing into modeling and simulation. Time synchronization algorithm is the core of PDES, which determines the correctness and efficiency of the simulation. Traditional conservative synchronization algorithms, such as Chandy-Misra-Bryant(CMB) null message algorithm, use null message to synchronize the state and avoid deadlock among logical processes(LPs). But hybrid simulation systems contains both continuous models and discrete models, continuously changing states is typically modeled using time steps in hybrid simulation system. Therefore, hybrid systems with large disparity in time step are very common in real simulation systems. However, current conservative synchronization algorithm has not been fully investigated for this type of simulation systems and will generate massive synchronization messages. This paper proposed an enhanced null message algorithm for hybrid simulation systems with large disparity in time step. It extended the CMB algorithm by adding simulation time in null message request messages. This could significantly reduce the number of synchronization messages. Experimental results showed that our synchronization algorithm outperforms the CMB algorithm by reducing a great number of synchronization messages.

关键词： Synchronization Computational modeling Atmospheric modeling Adaptation models system recovery Ports (Computers) Complex systems

来源：评论

学校读者我要写书评

暂无评论

Gauss Genesis of asteroids and evolution of the solar system: A sample return mission to ceres

arXiv

引用

arXiv 2019年

作者： Shi, Xian Castillo-Rogez, Julie Hsieh, Henry Hui, Hejiu Ip, Wing-Huen Lei, Hanlun Li, Jian-Yang Tosi, Federico Zhou, Liyong Agarwal, Jessica Barucci, Antonella Beck, Pierre Bagatin, Adriano Campo Capaccioni, Fabrizio Coates, Andrew Cremonese, Gabriele Duffard, Rene Jaumann, Ralf Jones, Geraint Grande, Manuel Kallio, Esa Lin, Yangting Mousis, Olivier Nathues, Andreas Oberst, Jurgen Sierks, Holger Ulamec, Stephan Wang, Mingyuan Max Planck Institute for Solar System Research Justus-von-Liebig-Weg 3 Göttingen37077 Germany NASA Jet Propulsion Laboratory 4800 Oak Grove Dr PasadenaCA91109 United States Planetary Research Institute TucsonAZ85719 United States School of Earth Sciences and Engineering Nanjing University 163 Xianlin Avenue Nanjing210023 China Space Science Institute Macau University of Science and Technology Av. Wai Long Macau China School of Astronomy and Space Science Nanjing University 163 Xianlin Avenue Nanjing210023 China Planetary Research Institute TucsonAZ85719 United States INAF-IAPS Istituto di Astrofisica e Planetologia Spaziali Via del Fosso del Cavaliere 100 Rome00133 Italy School of Astronomy and Space Science Nanjing University 163 Xianlin Avenue Nanjing210023 China Max Planck Institute for Solar System Research Justus-von-Liebig-Weg 3 Göttingen37077 Germany LESIA Observatoire de Paris CNRS UPMC Univ. Paris 06 Univ. Paris-Diderot 5 Place J. Janssen Meudon Principal Cedex92195 France Univ. Grenoble Alpes CNRS Centre National de la Recherche Scientifique IPAG Grenoble France Departamento de Física Ingenieriá de Sistemas y Teoriá de la Senãl P.O. Box 99 Alicante03080 Spain INAF-IAPS Istituto di Astrofisica e Planetologia Spaziali Via del Fosso del Cavaliere 100 Rome00133 Italy Mullard Space Science Laboratory University College London Holmbury St Mary Dorking SurreyRH56NT United Kingdom INAF-Osservatorio Astronomico di Padova Vicolo dell'Osservatorio 5 Padova35122 Italy Glorieta de la Astronomiá S/N Granada18008 Spain DLR Institute of Planetary Research Rutherfordstraße 2 Berlin12489 Germany University of Aberystwyth Penglais AberystwythSY233FL United Kingdom School of Electrical Engineering Aalto University Maarinkatu 8 P.O. Box 15500 AaltoFI-00760 Finland Institute of Geology and Geophysics Chinese Academy of Sciences 19 Beitucheng W Rd Chaoyang Qu Beijing100029 China UMR 7326 MarseilleF-13388 France Adam S

The goal of Project GAUSS is to return samples from the dwarf planet Ceres. Ceres is the most accessible ocean world candidate and the largest reservoir of water in the inner solar system. It shows active cryovolcanism and hydrothermal activities in recent history that resulted in minerals not found in any other planets to date except for Earth-fs upper crust. The possible occurrence of recent subsurface ocean on Ceres and the complex geochemistry suggest possible past habitability and even the potential for ongoing habitability. Aiming to answer a broad spectrum of questions about the origin and evolution of Ceres and its potential habitability, GAUSS will return samples from this possible ocean world for the first time. The project will address the following top-level scientific questions: -œ What is the origin of Ceres and the origin and transfer of water and other volatiles in the inner solar system? -œ What are the physical properties and internal structure of Ceres? What do they tell us about the evolutionary and aqueous alteration history of icy dwarf planets? -œ What are the astrobiological implications of Ceres? Was it habitable in the past and is it still today? -œ What are the mineralogical connections between Ceres and our current collections of primitive meteorites? GAUSS will first perform a high-resolution global remote sensing investigation, characterizing the geophysical and geochemical properties of Ceres. Candidate sampling sites will then be identified, and observation campaigns will be run for an in-depth assessment of the candidate sites. Once the sampling site is selected, a lander will be deployed on the surface to collect samples and return them to Earth in cryogenic conditions that preserves the volatile and organic composition as well as the original physical status as much as possible. Copyright © 2019, The Authors. All rights reserved.

关键词： Gaussian distribution

来源：评论

学校读者我要写书评

暂无评论

A generation algorithm of Latin hypercube sampling based on original sampling points 27

A generation algorithm of Latin hypercube sampling based on ...

引用

27th European Modeling and simulation Symposium, EMSS 2015

作者： Liu, Zhizhao Li, Wei Yang, Ming Xu, Jun Qing, Duzheng Control and Simulation Center Harbin Institute of Technology Harbin150080 China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing100854 China

ISBN: (纸本)9788897999485

In order to utilize original sampling points as many as possible to construct a Latin Hypercube Sampling (LHS), a generation algorithm of LHS is proposed. The original sampling can be an arbitrary sampling and the new sampling is a LHS strictly. As the high structure of LHS, only part of original sampling points can be used for LHS. There are several problems including how to select the reserved original sampling points and generate the new ones if necessary. Matrices are used to describe the original sampling points and the original sampling points are reserved based on an adjacent matrix. The new sampling points are generated by a subtraction rule. Numerical experiments show that the generation algorithm is effective and saves a lot of running time for simulation systems.

关键词： Geometry

来源：评论

学校读者我要写书评

暂无评论

Generalised Error Functions from the Kerr Metric

引用

Chinese Physics Letters 2016年第3期33卷 12-16页

作者：唐文林罗子人刘润球 Science and Technology on Aerospace Flight Dynamics Laboratory Beijing Aerospace Control Center Department of Aerospace Guidance Navigation and Control School of AstronauticsBeihang University QUEST Center of Quantum Engineering and Space-Time Research Leibniz Universitt Hannover Max Planck Institute for Gravitational Physics(Albert Einstein Institute) Institute of Applied Mathematics Morningside Center of Mathematics and LESCInstitute of Computational MathematicsAcademy of Mathematics and System ScienceChinese Academy of Sciences

Motivated by the effort to understand the mathematical structure underlying the Teukolsky equations in a Kerr metric background, a homogeneous integral equation related to the prolate spheroidal function is studied. From the consideration of the Fredholm determinant of the integral equation, a family of generalized error function is defined, with which the Fredholm determinant of the sinc kernel is also evaluated. An analytic solution of a special ease of the fifth Painlev~ transcendent is then worked out explicitly.

关键词： of is exp in Generalised Error Functions from the Kerr Metric from

来源：评论

学校读者我要写书评

暂无评论

Radiative Cooling of the Thermally Isolated system in KAGRA Gravitational Wave Telescope

引用

Journal of Physics: Conference Series 2021年第1期1857卷

作者： T. Akutsu M. Ando K. Arai Y. Arai S. Araki A. Araya N. Aritomi Y. Aso S.-W. Bae Y.-B. Bae L. Baiotti R. Bajpai M. A. Barton K. Cannon E. Capocasa M.-L. Chan C.-S. Chen K.-H. Chen Y.-R. Chen H.-Y. Chu Y.-K. Chu S. Eguchi Y. Enomoto R. Flaminio Y. Fujii M. Fukunaga M. Fukushima G.-G. Ge A. Hagiwara S. Haino K. Hasegawa H. Hayakawa K. Hayama Y. Himemoto Y. Hiranuma N. Hirata E. Hirose Z. Hong B.-H. Hsieh G.-Z. Huang P.-W. Huang Y.-J. Huang B. Ikenoue S. Imam K. Inayoshi Y. Inoue K. Ioka Y. Itoh K. Izumi K. Jung P. Jung T. Kajita M. Kamiizumi N. Kanda G.-W. Kang K. Kawaguchi N. Kawai T. Kawasaki C. Kim J. Kim W. Kim Y.-M. Kim N. Kimura N. Kita H. Kitazawa Y. Kojima K. Kokeyama K. Komori A. K. H. Kong K. Kotake C. Kozakai R. Kozu R. Kumar J. Kume C.-M. Kuo H.-S. Kuo S. Kuroyanagi K. Kusayanagi K. Kwak H.-K. Lee H.-W. Lee R.-K. Lee M. Leonardi C.-Y. Lin F.-L. Lin L. C.-C. Lin G.-C. Liu L.-W. Luo M. Marchio Y. Michimura N. Mio O. Miyakawa A. Miyamoto Y. Miyazaki K. Miyo S. Miyoki S. Morisaki Y. Moriwaki K. Nagano S. Nagano K. Nakamura H. Nakano M. Nakano R. Nakashima T. Narikawa R. Negishi W.-T. Ni A. Nishizawa Y. Obuchi W. Ogaki J. J. Oh S.-H. Oh M. Ohashi N. Ohishi M. Ohkawa K. Okutomi K. Oohara C.-P. Ooi S. Oshino K.-C. Pan H.-F. Pang J. Park F. E. Peiia Arellano I. Pinto N. Sago S. Saito Y. Saito K. Sakai Y. Sakai Y. Sakuno S. Sato T. Sato T. Sawada T. Sekiguchi Y. Sekiguchi S. Shibagaki R. Shimizu T. Shimoda K. Shimode H. Shinkai T. Shishido A. Shoda K. Somiya E. J. Son H. Sotani R. Sugimoto T. Suzuki H. Tagoshi H. Takahashi R. Takahashi A. Takamori S. Takano H. Takeda M. Takeda H. Tanaka K. Tanaka T. Tanaka S. Tanioka E. N. Tapia San Martin S. Telada T. Tomaru Y. Tomigami T. Tomura F. Travasso L. Trozzo T. T. L. Tsang K. Tsubono S. Tsuchida T. Tsuzuki D. Tuyenbayev N. Uchikata T. Uchiyama A. Ueda T. Uehara K. Ueno G. Ueshima F. Uraguchi T. Ushiba M. H. P. M. van Putten H. Vocca J. Wang C.-M. Wu H.-C. Wu S.-R. Wu W.-R. Xu T. Yamada K. Yamamoto T. Yamamoto K. Yokogawa J. Yokoyama T. Yokozawa T. Yoshioka H. Yuzurihar National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka-City Tokyo 181-8588 Japan Research Center for the Early Universe (RESCEU) The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research (ICRR) The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa-City Chiba 277-8582Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 OhoTsukuba-City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1Yayoi Bunkyo-ku Tokyo 113-0032Japan Kamioka Branch National Astronomical Observatory of Japan (NAOJ) 238 Higashi-Mozumi Kamioka-cho Hida-City Gifu Pref. Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka-City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information (KISTI) 245 Daehak-ro Yuseong-gu Daejeon 34141 South Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 beon-gil Yuseong-gu Daejeon 34047 South Korea Graduate School of Science Osaka University 1-1 Machikaneyama-cho Toyonaka-City Osaka560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba-City Ibaraki 305-0801 Japan Institute for Gravitational Research University of Glasgow Kelvin Building G12 8QQ UK Department of Applied Physics Fukuoka University Fukuoka Jonan Nanakuma 814-0180 Japan Department of Physics Tamkang university No.151 Yingzhuan Rd. Danshui Dist. New Taipei-City 25137 Taiwan Department of Physics the Center for High Energy and High Field Physics National Central University No. 300 Zhongda Road Zhongyi District Taiyuan-City 320 Taiwan Institute of Astronomy National Tsing Hua University No. 101 Section 2 Kuang-Fu Road Hsinchu 30013 Taiwan Department of Physics National Tsing Hua University No. 101 Section 2

Radiative cooling of the thermally isolated system is investigated in KAGRA gravitational wave telescope. KAGRA is a laser interferometer-based detector and main mirrors constituting optical cavities are cool down to 20K to reduce noises caused by the thermal fluctuation. The mirror is suspended with the multi-stage pendulum to isolate any vibration. Therefore, this mirror suspension system has few heat links to reduce vibration injection. Thus, this system is mainly cooled down with thermal radiation. In order to understand the process of radiative cooling of the mirror, we analyzed cooling curve based on mass and specific heat. As a result, it was newly found that a cryogenic part called 'cryogenic duct-shield' seems to have large contribution in the beginning of the mirror cooling. This finding will help to design new cooling system for the next generation cryogenic gravitational wave detector.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Probabilistic robust control strategy for gust load alleviation 16

Probabilistic robust control strategy for gust load alleviat...

引用

16th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2015

作者： Dai, Yuting Yang, Chao Wang, Chaolei School of Aeronautic Science and Engineering Beihang University Beijing100854 China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing100854 China

The aeroelastic model for a wing in the time domain is constructed with continuous wind gust and structural uncertainties. The H∞ optimal method and μ synthesis are applied to the robust control law design for gust load alleviation (GLA) problem. Specifically, with instability risk introduced in the uncertain model, the GLA factor can be largely increased. The instability probability for a uncertain system and nominal GLA factor are trade-off to get a higher performance and acceptable instability risk. At the same flow velocity, the stability robustness is decreased while the nominal gust load can be largely alleviated. Vise visa, though the nominal aeroelastic model is stable at all the velocities between 10 m/s to 30 m/s, the instability risk increased with the GLA factor ascending. Results indicate that with introducing a 0.2% instability risk, the nominal gust load can be alleviated by 24.5%.

关键词： Economic and social effects

来源：评论

学校读者我要写书评

暂无评论

Scientific exploration platform of the space science satellite operating system 14th

Scientific exploration platform of the space science satelli...

引用

14th International Conference on space Operations, spaceOps 2016

作者： Meng, Bai Tai, Hu Dalin, Li National Space Science Center CAS Beijing100190 China Harbin150001 China Satellite Mission Operation Laboratory No.1 Nanertiao Zhonguancun Haidian district Beijing China Key Laboratory of Integrated Avionics and Information Technology for Complex Aerospace System No.1 Nanertiao Zhonguancun Haidian district Beijing China

ISBN: (数字)9781624104268

ISBN: (纸本)9781624104268

Detection of space science satellite is quite different from the traditional application satellite. Special scientific application of space science missions, required mission operation systems to provide more common and related services for scientific applications. At the same time, in order to be able to effectively integrate the disparate, heterogeneous scientific exploration resources, you need a distributed scientific exploration platform. It adapts for many users, with convenient ways of website, computer client, IPAD, mobile phone client and other means, unified analysis of the demand for satellite missions. The paper presents the overall architecture of SOA (Service-Oriented Architecture) based distributed platform of scientific exploration program. The system platform supports space scientific plans made for satellites, including the scientific exploration satellites and scientific experimental satellites. It can meet the need of multi-task in space scientific detection with commonality and extensibility. © 2016, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Satellites

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：