检索结果-内蒙古大学图书馆

All-sky search for continuous gravitational waves from isolated neutron stars in the early O3 LIGO data

Physical Review D 2021年第8期104卷 082004-082004页

作者： R. Abbott T. D. Abbott S. Abraham F. Acernese K. Ackley A. Adams C. Adams R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu K. M. Aleman G. Allen A. Allocca P. A. Altin A. Amato S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koya Arai Koji Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson H. Asada Y. Asali G. Ashton Y. Aso S. M. Aston P. Astone F. Aubin P. Aufmuth K. AultONeal C. Austin S. Babak F. Badaracco M. K. M. Bader S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer M. Bals A. Balsamo G. Baltus S. Banagiri D. Bankar R. S. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal M. G. Benjamin T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser R. Bhandare A. V. Bhandari D. Bhattacharjee S. Bhaumik J. Bidler I. A. Bilenko G. Billingsley R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn J. Blackman C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant A. Buikema T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic R. L. Byer L. Cadonati M. Caesar G. Cagnoli C. Cahillane H. W. Cain, III J. Calderón Bustillo J. LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Inter-University Centre for Astronomy and Astrophysics Pune 411007 India Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S.Angelo I-80126 Napoli Italy OzGrav School of Physics and Astronomy Monash University Clayton 3800 Victoria Australia Christopher Newport University Newport News Virginia 23606 USA LIGO Livingston Observatory Livingston Louisiana 70754 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom Gran Sasso Science Institute (GSSI) I-67100 L’Aquila Italy INFN Laboratori Nazionali del Gran Sasso I-67100 Assergi Italy INFN Sezione di Pisa I-56127 Pisa Italy Università di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan California State University Fullerton Fullerton California 92831 USA NCSA University of Illi

We report on an all-sky search for continuous gravitational waves in the frequency band 20–2000 Hz and with a frequency time derivative in the range of [−1.0,+0.1]×10−8 Hz/s. Such a signal could be produced by a nearby, spinning and slightly nonaxisymmetric isolated neutron star in our Galaxy. This search uses the LIGO data from the first six months of Advanced LIGO’s and Advanced Virgo’s third observational run, O3. No periodic gravitational wave signals are observed, and 95% confidence-level (C.L.) frequentist upper limits are placed on their strengths. The lowest upper limits on worst-case (linearly polarized) strain amplitude h0 are ∼1.7×10−25 near 200 Hz. For a circularly polarized source (most favorable orientation), the lowest upper limits are ∼6.3×10−26. These strict frequentist upper limits refer to all sky locations and the entire range of frequency derivative values. For a population-averaged ensemble of sky locations and stellar orientations, the lowest 95% C.L. upper limits on the strain amplitude are ∼1.4×10−25. These upper limits improve upon our previously published all-sky results, with the greatest improvement (factor of ∼2) seen at higher frequencies, in part because quantum squeezing has dramatically improved the detector noise level relative to the second observational run, O2. These limits are the most constraining to date over most of the parameter space searched.

关键词： Astrophysical studies of gravity Gravitational wave detection Gravitational wave sources Gravitational waves

来源：评论

学校读者我要写书评

暂无评论

Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks

Understand Scene Categories by Objects: A Semantic Regulariz...

引用

IEEE International Conference on Robotics and Automation

作者： Yiyi Liao Sarath Kodagoda Yue Wang Lei Shi Yong Liu the State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control Zhejiang University Zhejiang 310027 China. the Centre for Autonomous Systems (CAS) The University of Technology Sydney Australia.

ISBN: (纸本)9781467380270

Scene classification is a fundamental perception task for environmental understanding in today's robotics. In this paper, we have attempted to exploit the use of popular machine learning technique of deep learning to enhance scene understanding, particularly in robotics applications. As scene images have larger diversity than the iconic object images, it is more challenging for deep learning methods to automatically learn features from scene images with less samples. Inspired by human scene understanding based on object knowledge, we address the problem of scene classification by encouraging deep neural networks to incorporate object-level information. This is implemented with a regularization of semantic segmentation. With only 5 thousand training images, as opposed to 2.5 million images, we show the proposed deep architecture achieves superior scene classification results to the state-of-the-art on a publicly available SUN RGB-D dataset. In addition, performance of semantic segmentation, the regularizer, also reaches a new record with refinement derived from predicted scene labels. Finally, we apply our model trained on SUN RGB-D dataset to a set of images captured in our university using a mobile robot, demonstrating the generalization ability of the proposed algorithm.

关键词： Categories Objects RGB-D

来源：评论

学校读者我要写书评

暂无评论

On stability of sampled-data extended state observer for networked systems

On stability of sampled-data extended state observer for net...

引用

Asian control Conference

作者： Yuan Huang Junzheng Wang Dawei Shi Jian Xue State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing P. R. China Harvard John A. Paulson School of Engineering & Applied Sciences Harvard University Cambridge MA USA

ISBN: (纸本)9781509015740;9781509015733

The problem of sampled-data state observation is considered in this work. A nonlinear continuous-time system with internal uncertainty and external disturbance is introduced, for which the sampled-data observation problem based on an extended state observer is formulated. We first introduce the framework of the observed system, in which the output measurement is sampled and transmitted to extended state observer periodically. Then based on this framework, the observation performance of the sampled-data extended state observer (SD-ESO) is investigated. For the observer considered, the uniformly ultimately bounded property has been guaranteed. Furthermore, a co-design method for the sample interval and high gain parameter of SD-ESO is provided to achieve the desired observation performance. The obtained theoretic results are validated through the numerical simulations.

关键词： Observers Uncertainty Networked control systems Convergence Distributed databases Gold Australia

来源：评论

学校读者我要写书评

暂无评论

12.2: A 3D Display Parallel System: Light Field Re-rendering and Depth Sense Optimization

引用

SID Symposium Digest of Technical Papers 2018年第S1期49卷

作者： Renjing Pei Kui Ma Feiyue Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences East Zhongguanchun Road No. 95 Haidian District Beijing School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing Parallel Optics Technology Innovation Center Qingdao Academy of Intelligent Industries Qingdao

The main benefit of 3D display over 2D display is the obvious ability to create a more lifelike character with high depth sense. However, the limitation of human eye's visual mechanism, unartful 3D scene structure design, or bad viewing condition always emerges poor depth perception experience or even physiological discomfort during the watching time, which is often sub-optimal for mass high-quality 3D display productions. To solve this problem, we propose a novel 3D display parallel system for depth sense optimization and it empirically guides how the light field should be re-rendered. Structurally, the parallel system consists of an artificial perception measurement system, a display evaluation model and a light field display rendering system, which includes the display calibration, scene capture, light field data processing and display. Particularly, the system can systematically analyze and model various factors affecting the depth sense which learned through the measurement system, like scene structure, objects’ speeds in 3D video and so on. And those sense factors can be personally modified or increased according to the viewer's demands or technical improvement. Moreover, the light field could be real-time re-rendered, based on some image processing technology, optical flow analysis and object segmentation (or tracking) (especially the one-shot video segmentation). Theory and algorithms are developed and experimental validation results show a superior performance.

关键词： 3D Display Parallel System Depth Sense Light Field Re-rendering 3D Video Processing One-shot Segmentation

来源：评论

学校读者我要写书评

暂无评论

Impact of grid side converter of DFIG on sub-synchronous oscillation and its damping control

Impact of grid side converter of DFIG on sub-synchronous osc...

引用

2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016

作者： Haiyan, Tang Wei, He Chi, Yongning Tian, Xinshou Yan, Li Yukun, Wang State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781509054183

Along with the increasing of wind power penetration, the sub-synchronous oscillation phenomena may happen in wind power integrated system. This paper studies the sub-synchronous oscillation phenomena of doubly-fed induction generator (DFIG) based wind farm with series compensation, focuses on the dynamic characteristics of grid side converter control of DFIG and its optimal control. First, this paper analyzes the transfer characteristic of rotor-side and stator-side active power of DFIG, then combining with the analysis of DC capacitor voltage dynamic characteristics, the impacts of control strategy of grid side converter and its parameters on sub-synchronous oscillation behavior are studied. On this basis, a novel additional control strategy to suppress oscillation is proposed in grid side converter. The conclusions are verified by simulation cases of system integrated with DFIG based wind farm by series compensation. © 2016 IEEE.

关键词： Wind farm

来源：评论

学校读者我要写书评

暂无评论

Distributed Consensus Tracking control for Multiple Simple-Pendulum Network systems 35

Distributed Consensus Tracking Control for Multiple Simple-P...

引用

第35届中国控制会议

作者： JIANG Yulian WANG Shenquan LI Yuanchun LIU Derong College of Electrical and Electronic Engineering Changchun University of Technology The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781509009107

This paper investigates the consensus tracking problem for networked control systems consisting of multiple simplependulums driven by corresponding DC motors.A distributed adaptive consensus control algorithm is developed to guarantee the state tracking for each simple-pendulum with nonlinear *** dynamic model of networked simple-pendulums driven by DC motors is obtained first,and the mathematical description of consensus tracking control problem for multi-agent system is ***,fully distributed consensus tracking protocol without any global information is designed by using adaptive control technology to adjust the coupling weights between neighboring ***,simulation results demonstrate the effectiveness of the proposed consensus tracking control algorithm.

关键词： consensus tracking simple-pendulum network system adaptive control nonlinear dynamics multi-agent system

来源：评论

学校读者我要写书评

暂无评论

Reliability evaluation of PV power systems with consideration of time-varying factors

引用

The Journal of Engineering 2017年第13期2017卷 1783-1787页

作者： Hongtao Li Jie Ding Jingsheng Huang Yinghua Dong Xiaoyan Li China Electric Power Search Institute Nanjing 210003 People's Republic of China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100192 People's Republic of China Hefei University of Technology Hefei 230009 People's Republic of China

With the large-scale grid-connected operation of solar photovoltaic (PV) power systems in recent years, the accurate assessment of its reliability level has received increasing focus. This study obtained a probability model for system power output by analysing the structural characteristics of the PV power system and by examining its component failure mode and the effect of the component failure mode on the output power. The algorithmic model for the reliability evaluation of the PV power system was established based on the sequential Monte Carlo method, the weather conditions, component ageing, and light intensity. Finally, the six states model and their reliability indices of the PV power system were studied considering the resource constraint and the structural characteristics of the PV power system. The results showed that the model can fully reflect the actual operation reliability of a PV power system.

关键词： solar power stations photovoltaic power systems power generation reliability Monte Carlo methods probability power grids resource constraint reliability indices light intensity component ageing weather conditions sequential Monte Carlo method component failure mode structural characteristics system power output reliability level probability model solar photovoltaic power systems large-scale grid-connected operation time-varying factors solar PV power systems reliability evaluation

来源：评论

学校读者我要写书评

暂无评论

Modeling Study of a Summertime Rainstorm Process Over North China Plain with a Meso-scale Meteorological Model

Modeling Study of a Summertime Rainstorm Process Over North ...

引用

2017 International Conference on Mathematics, Modelling and Simulation Technologies and Applications（MMSTA 2017)

作者： Run-fang WANG Zong-peng SONG Tian-liang ZHAO Shuang-long JIN Ju HU Han DING Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological AdministrationNanjing University of Information Science and Technology Renewable Energy Research Center China Electric Power Research Institute(CEPRI) State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems

Using meso-scale meteorological model FDDA,this study presented a high-definition modeling of a rainstorm process during July 19-21,2016 in the North China *** meso-scale meteorological model captured the precipitation distribution of the observed rainstorm over North China Plain,showing that the FDDA model has strong ability to simulate and forecast *** modeling study also revealed the mechanism of rainfall formation with 3-dimensional structures of atmospheric *** subtropical high pressure peripheral warm and wet air flow and the coexistence of cold shear affect the development of convection in the rainfall *** to the vapor transport of low-level jet stream,the rainfall area has sufficient water vapor supply.A convergence of the south-easterly and northerly airstreams triggered a strong convection for the summer rainstorm in North China *** study provided us the valuable information for further development of a high-definition modeling of rainstorm process.

关键词： Rainstorm Modeling North China Plain Synoptic Pattern

来源：评论

学校读者我要写书评

暂无评论

Distributed Gaussian Mixture Model for Monitoring Multimode Plant-wide Process

Distributed Gaussian Mixture Model for Monitoring Multimode ...

引用

第28届中国控制与决策会议

作者： Jinlin Zhu Zhiqiang Ge Zhihuan Song State Key Laboratory of Industrial Control Technology Institute of Industrial Process ControlCollege of Control Science and EngineeringZhejiang University

ISBN: (纸本)9781467397155

For large-scale plant-wide processes with multiple operating conditions,a distributed Gaussian mixture modeling and monitoring mechanism is *** overcome the deficient prior modeling knowledge for complex process,a two-dimensional probabilistic topic model based technique named Bayesian co-clustering method is developed to simultaneously conduct the sub-block division and operating mode *** the obtained sub-blocks and operating modes,a global Gaussian mixture model is first built and then several local Gaussian mixture models are extracted and applied for distributed monitoring of plant-wide *** conducting distributed modeling and monitoring,both global and local process changes can be reflected and the fault region can be localized more easily for further *** feasibility and effectiveness of the proposed method is confirmed through the Tennessee Eastman benchmark process.

关键词： Plant-wide process monitoring Distributed data modeling Gaussian mixture model Bayesian co-clustering Variational Bayesian inference

来源：评论

学校读者我要写书评

暂无评论

Moving Window Adaptive Quality Prediction for state Shifting ProcessB ased on Weighted Supervised Latent Factor Analysis

Moving Window Adaptive Quality Prediction for State Shifting...

引用

第27届中国过程控制会议（CPCC2016）

作者： Le Yao Zhiqiang Ge State Key Laboratory of Industrial Control Technology Institute of Industrial Process ControlCollege of Control Science and EngineeringZhejiang University

Process nonlinearity and state shifting are two of the main factors that cause poor performance of online *** soft sensor is the common practice to ensure high predictive *** this paper,the movingwindow method is introduced to the supervised latent factor analysis model to capture the state shifting feature of *** make the moving window strategy

关键词： Moving Window Adaptive Quality Prediction for state Shifting ProcessB ased on Weighted Supervised Latent Factor Analysis

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：