检索结果-内蒙古大学图书馆

arXiv 2017年

作者： Snodgrass, Colin A’Hearn, M.F. Aceituno, F. Afanasiev, V. Bagnulo, S. Bauer, J. Bergond, G. Besse, S. Biver, N. Bodewits, D. Boehnhardt, H. Bonev, B.P. Borisov, G. Carry, B. casanova, V. Cochran, A. Conn, B.C. Davidsson, B. Davies, J.K. de León, J. de Mooij, E. de Val-Borro, M. Delacruz, M. DiSanti, M.A. Drew, J.E. Duffard, R. Edberg, N.J.T. Faggi, S. Feaga, L. Fitzsimmons, A. Fujiwara, H. Gibb, E.L. Gillon, M. Green, S.F. Guijarro, A. Guilbert-Lepoutre, A. Gutiérrez, P.J. Hadamcik, E. Hainaut, O. Haque, S. Hedrosa, R. Hines, D. Hopp, U. Hoyo, F. Hutsemékers, D. Hyland, M. Ivanova, O. Jehin, E. Jones, G.H. Keane, J.V. Kelley, M.S.P. Kiselev, N. Kleyna, J. Kluge, M. Knight, M.M. Kokotanekova, R. Koschny, D. Kramer, E. López-Moreno, J.J. Lacerda, P. Lara, L.M. Lasue, J. Lehto, H.J. Levasseur-Regourd, A.C. Licandro, J. Lin, Z.Y. Lister, T. Lowry, S.C. Mainzer, A. Manfroid, J. Marchant, J. McKay, A.J. McNeill, A. Meech, K.J. Micheli, M. Mohammed, I. Monguió, M. Moreno, F. Muñoz, O. Mumma, M.J. Nikolov, P. Opitom, C. Ortiz, J.L. Paganini, L. Pajuelo, M. Pozuelos, F.J. Protopapa, S. Pursimo, T. Rajkumar, B. Ramanjooloo, Y. Ramos, E. Ries, C. Riffeser, A. Rosenbush, V. Rousselot, P. Ryan, E.L. Santos-Sanz, P. Schleicher, D.G. Schmidt, M. Schulz, R. Sen, A.K. Somero, A. Sota, A. Stinson, A. Sunshine, J. Thompson, A. Tozzi, G.P. Tubiana, C. Villanueva, G.L. Wang, X. Wooden, D.H. Yagi, M. Yang, B. Zaprudin, B. Zegmott, T.J. School of Physical Sciences Open University Milton KeynesMK7 6AA United Kingdom Department of Astronomy University of Maryland College ParkMD20742-2421 United States Instituto de Astrofísica de Andalucía CSIC Glorieta de la Astronomía s/n Granada18008 Spain Special Astrophysical Observatory Russian Academy of Sciences Nizhniy Arkhyz Russia Armagh Observatory College Hill ArmaghNorthern IrelandBT61 9DG United Kingdom Jet Propulsion Laboratory M/S 183-301 4800 Oak Grove Drive PasadenaCA91109 United States 04550 Spain ESA/ESAC PO Box 78 Villanueva de la Cañada28691 Spain LESIA Observatoire de Paris CNRS UPMC Univ Paris 06 Univ. Paris-Diderot 5 Place J. Janssen Meudon Pricipal Cedex92195 France Max-Planck-Institut für Sonnensystemforschung Justus-von-Liebig-Weg 3 Göttingen37077 Department of Physics American University 4400 Massachusetts Ave NW WashingtonDC20016 United States Institute of Astronomy and National Astronomical Observatory 72 Tsarigradsko Chaussée Blvd. SofiaBG-1784 Bulgaria Université Côte d’Azur OCA CNRS Lagrange France IMCCE Observatoire de Paris PSL Research University CNRS Sorbonne Universités UPMC Univ Paris 06 Univ. Lille France University of Texas Austin/McDonald Observatory 1 University Station AustinTX78712 United States Research School of Astronomy and Astrophysics Australian National University CanberraACT Australia Gemini Observatory Recinto AURA Colina El Pino s/n Casilla 603 La Serena Chile UK Astronomy Technology Centre Royal Observatory Edinburgh Blackford Hill EdinburghEH9 3HJ C/Vía Láctea s/n La Laguna38205 Spain Departamento de Astrofísica Universidad de La Laguna La Laguna Tenerife38206 Spain Astrophysics Research Centre School of Mathematics and Physics Queen’s University Belfast BT7 1NN United Kingdom Department of Astrophysical Sciences Princeton University PrincetonNJ08544 United States NASA Goddard Space Flight Center Astrochemistry Laboratory Code 691.0 GreenbeltMD20771

We present a summary of the campaign of remote observations that supported the European Space Agency’s Rosetta mission. Telescopes across the globe (and in space) followed comet 67P/Churyumov-Gerasimenko from before Rosetta’s arrival until nearly the end of mission in September 2016. These provided essential data for mission planning, large-scale context information for the coma and tails beyond the spacecraft, and a way to directly compare 67P with other comets. The observations revealed 67P to be a relatively ‘well behaved’ comet, typical of Jupiter family comets and with activity patterns that repeat from orbit-to-orbit. Comparison between this large collection of telescopic observations and the in situ results from Rosetta will allow us to better understand comet coma chemistry and structure. This work is just beginning as the mission ends – in this paper we present a summary of the ground-based observations and early results, and point to many questions that will be addressed in future studies. Copyright © 2017, The Authors. All rights reserved.

关键词： Comets

来源：评论

学校读者我要写书评

暂无评论

News Credibility Evaluation on Microblog with a Hierarchical Propagation Model

News Credibility Evaluation on Microblog with a Hierarchical...

引用

IEEE International Conference on data Mining (ICDM)

作者： Zhiwei Jin Juan Cao Yu-Gang Jiang Yongdong Zhang University of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology Beijing CAS China School of Computer Science Fudan University Shanghai China

ISBN: (纸本)9781479943012

Benefiting from its openness, collaboration and real-time features, Micro blog has become one of the most important news communication media in modern society. However, it is also filled with fake news. Without verification, such information could spread promptly through social network and result in serious consequences. To evaluate news credibility on Micro blog, we propose a hierarchical propagation model. We detect sub-events within a news event to describe its detailed aspects. Thus, for a news event, a three-layer credibility network consisting of event, sub-events and messages can represent it from different scale and reveal vital information for credibility evaluation. After linking these entities with their semantic and social associations, the credibility value of each entity is propagated on this network to achieve the final evaluation result. By formulating this propagation process as a graph optimization problem, we provide a globally optimal solution with an iterative algorithm. Experiments conducted on two real-world datasets show that the proposed model boosts the accuracy by more than 6% and the F-score by more than 16% over a baseline method.

关键词： Optimization Clustering algorithms Vectors Semantics Feature extraction Symmetric matrices Media

来源：评论

学校读者我要写书评

暂无评论

Social sensing enhanced time estimation for bus service

引用

Concurrency and Computation: Practice and Experience 2015年第15期27卷

作者： Jin Liu Juan Li Xiaohui Cui Xiaoguang Niu Xiaoping Sun Jing Zhou State Key Lab. of Software Engineering Computer School Wuhan University Wuhan China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin China International School of Software Wuhan University Wuhan China Computer School Wuhan University Wuhan China Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science Communication University of China China

The precise prediction of bus routes or the arrival time of buses for a traveler can enhance the quality of bus service. However, many social factors influence people's preferences for taking buses. These social factors may include heavy traffic cost, traffic congestion, poor air quality and so forth. Existing prediction techniques rarely consider social sensing when predicting the bus arrival time. Accordingly, this paper proposes a social sensing enhanced service for predicting bus routes, which integrates sensing ability and social networks to understand and measure the influence between social events and vehicle velocity. We focus on the analysis of two different attributions: PT service quality attributions PEA s and road condition attributions PRCA s. Both of them synthesize the social sensing in their evaluation of bus routes. PEA represents individual preferences and PRCA represents physical factors that significantly influence vehicle velocity. Bus relevant social events were further categorized into PEA events or PRCA events. PEA s of buses were scored according to the tendency of bus conditions reflected in social events. Furthermore, an artificial neural network prediction model is established to estimate the bus travel time. Copyright © 2015 John Wiley & Sons, Ltd.

关键词： social sensing in-time bus service bus route arrival time estimation

来源：评论

学校读者我要写书评

暂无评论

H-DB: Yet another big data hybrid system of Hadoop and DBMS

H-DB: Yet another big data hybrid system of Hadoop and DBMS

引用

13th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2013

作者： Luo, Tao Chen, Guoliang Zhang, Yunquan School of Computer Science and Technology University of Science and Technology of China 230027 Hefei China State Key Laboratory of Computer Architecture Institute of Computing Technology CAS 100190 Beijing China

ISBN: (纸本)9783319038582

With the explosion of the amount of data, analytics applications require much higher performance and scalability. However, traditional DBMS encounters the tough obstacle of scalability, and could not handle big data easily. In the meantime, due to the complex relational data model, the large amount of historical data and the independent demand of subsystems, it is not suitable to use either shared-nothing MPP architecture (e.g. Hadoop) or existing hybrid architecture (e.g. HadoopDB) to replace completely. In this paper, considering the feasibility and versatility of building a hybrid system, we propose a novel prototype H-DB which takes DBMSs as the underlying storage and execution units, and Hadoop as an index layer and a cache. H-DB not only retains the analytical DBMS, but also could handle the demands of rapidly exploding data applications. The experiments show that H-DB meets the demand, outperforms original system and would be appropriate for analogous big data applications. © Springer International Publishing Switzerland 2013.

关键词： database systems

来源：评论

学校读者我要写书评

暂无评论

Design and implementation of a bimodal face recognition system

Design and implementation of a bimodal face recognition syst...

引用

4th International Conference on Intelligence science and Big data Engineering, IScIDE 2013

作者： Xu, Yong Yang, Jian Xu, Jiajie Zhu, Qi Fan, Zizhu Bio-Computing Center Harbin Institute of Technology Shenzhen Graduate School Shenzhen China Key Laboratory of Network Oriented Intelligent Computation Shenzhen China School of Computer Science and Technology Nanjing University of Science and Technology Nanjing China School of Basic Science East China Jiaotong University Nanchang China

ISBN: (纸本)9783642420566

Visible light face images usually have a high resolution;however, the performance of face recognition using visible light face images is usually affected by the varying illumination. It seems that near infrared face recognition might be little influenced by the varying illumination, whereas near infrared face images usually have a low resolution and some facial marks such as scars and moles cannot be reflected by the image. In this paper, we develop a low-cost bimodal face recognition system. The system first captures the visible light and near infrared images of the face and then integrates them for face recognition. The paper also proposes a score level fusion method to combine visible light and near infrared face images for face identification. The experimental results show that the proposed method performs very well in bimodal face recognition. Moreover, the paper provides a true bimodal face image database, in which the visible light and near infrared face images are captured simultaneously. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

INSTANCE-SPECIFIC CANONICAL CORRELATION ANALYSIS FOR POSE ALIGNMENT

INSTANCE-SPECIFIC CANONICAL CORRELATION ANALYSIS FOR POSE AL...

引用

IEEE International Conference on Image Processing

作者： Deming Zhai Hong Chang Xilin Chen Wen Gao School of Computer Science and Technology Harbin Institute of Technology Harbin China 150001 Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences (CAS) Beijing China 100080

ISBN: (纸本)9781479923427

Canonical correlation analysis (CCA) based methods achieve great success for pose alignment. However, CCA has limitations as a linear and global algorithm. Although some variants have been proposed to overcome the limitations, neither of them achieves locality and nonlinearity at the same time. In this paper, we propose a novel algorithm called Instance-Specific Canonical Correlation Analysis (ISCCA), which approximates the nonlinear data by computing the instance specific projections along the smooth curve of the manifold. Based on the framework of least squares regression, CCA is extended to the instance-specific case which obtains a set of locally-linear smooth but globally-nonlinear transformations. The optimization problem is proved to be convex and could be solved efficiently by alternating optimization. And the globally optimal solutions could be achieved with theoretical guarantee. Experimental results for pose alignment demonstrate the effectiveness of our proposed method.

关键词： proposed alignment transofrmations Alignment Posing optimal solution multivariate analysis nonlinearity Manifolds Convexity

来源：评论

学校读者我要写书评

暂无评论

In-field testing of NAND flash storage: Why and how?

In-field testing of NAND flash storage: Why and how?

引用

2012 IEEE 21st Asian Test Symposium, ATS 2012

作者： Hu, Yu Gu, Xinli Li, Xiaowei State Key Laboratory of Computer Architecture Institute of Computing Technology CAS Beijing China North America Network Division Huawei Technologies Co. Ltd Santa Clara United States

ISBN: (纸本)9780769548760

NAND Flash memories have rapidly emerged as a storage class memory such as SSD, CF Card, SD Card. Due to its distinct operation mechanisms, NAND Flash memory suffers from erase/program endurance, data retention and program/read disturbance problems. In this work, we propose an in-field testing technique which takes some pages in a block as predictors. We will discuss the proposed technique in detail in the poster session. © 2012 IEEE.

关键词： NAND circuits

来源：评论

学校读者我要写书评

暂无评论

In-Field Testing of NAND Flash Storage: Why and How?

In-Field Testing of NAND Flash Storage: Why and How?

引用

Asian Test Symposium (ATS)

作者： Yu Hu Xinli Gu Xiaowei Li State Key Laboratory of Computer Architecture Institute of Computing Technology CAS Beijing China North America Network Division Huawei Technologies Company Limited Santa Clara USA

NAND Flash memories have rapidly emerged as a storage class memory such as SSD (Solid State Disk), CF (Compact Flash) Card, SD (Secure Digital Memory) Card. Due to its distinct operation mechanisms, NAND Flash memory suffers from erase/program endurance, data retention and program/read disturbance problems. Specifically, erase and program operation keeps in developing bad blocks during the lifetime of memory chips. Bad blocks are blocks that contain faulty bits but the ECC (Error Correction Code) algorithm cannot correct them. Although wear leveling tries to balance the erase/program operations on different blocks so that all blocks can wear out at a similar pace, new bad blocks still inevitably *** propose an in-field testing technique which takes some pages in a block as predictors. Due to wear out faster than the other pages, the predictors will become bad before the other pages in the block become bad. The further questions are (1) how to detect those wearing fast pages so as to use them as predictors, (2) how many predictors are needed to achieve a satisfactory prediction accuracy, (3) misprediction will result in what negative impact on performance and endurance.

关键词： Flash memory Error correction codes Laboratories Computer architecture North America Computers

来源：评论

学校读者我要写书评

暂无评论

Alliance-Authentication Protocol in Clouds computing Environment

引用

China Communications 2012年第7期9卷 42-54页

作者： Zhang Qikun Li Yuanzhang Song Danjie Tan Yuan School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 P. R. China Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology ofChina Chengdu 610054 P. R. China School of Computer Beijing University of Posts and Telecommunications Beijing 100876 P. R. China

Security has been regarded as one of the hardest problems in the development of cloud computing. This paper proposes an AllianceAuthentication protocol among Hybrid Clouds that include multiple private clouds and/or public clouds. Mu tual authentication protocol among entities in the IntraCloud and InterCloud is proposed. Blind signature and bilinear mapping of automorphism groups are adopted to achieve the InterCloud Alli anceAuthentication, which overcome the complexi ty of certificate transmission and the problem of communication bottlenecks that happen in tradi tional certificatebased scheme. Blind key, instead of private key, is adopted for register, which avoids

关键词： Alliance-Authentication direct product decomposition bilinear mapping cloud computing

来源：评论

学校读者我要写书评

暂无评论

Overhead Power Line Detection from UAV Video Images

Overhead Power Line Detection from UAV Video Images

引用

International Conference on Mechatronics and Machine Vision in Practice

作者： Tang Wen YANG Hang YIN Qiu Qi RUAN Jian Da HAN Jun Tong QI Qing YONG Zi Tong WANG Zeng Qi SUN Beijing Key Laboratory of Advanced Information Science and Network Technology Institute of Information Science Beijing Jiaotong University Beijing 100044 China Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China State Key Laboratory of Robotics Shenyang Institute of Automation CAS Shenyang 110016 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9781467316439

Currently, unmanned aerial vehicles (UAVs) are applied to routine inspection tasks of electric distribution networks. As an important information source, machine vision attracts much attention in the area of the UAV's autonomous control. To this end, real-time algorithms are studied-in this paper to detect the power lines in the UAV video images. First, video images are converted into binary images through an adaptive thresholding approach. Then, Hough Transform is used to detect line candidates in the binary images. Finally, a fuzzy C- means (FCM) clustering algorithm is used to discriminate the power lines from the detected line candidates. The properties of power lines are used to remove the spurious lines, and the length and slope of the detected lines are used as features to establish the clustering data set. Experimental results show that the algorithms proposed are effective and able to tolerate noises from complicated terrain background and various illuminations.

关键词： Hough transforms autonomous aerial vehicles computer vision fuzzy set theory pattern clustering power overhead lines power system control video signal processing

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：