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International Conference on Development and Application Systems

作者： Su JUN Oleksiy Roshchupkin Volodymyr KOCHAN Anatoliy SACHENKO Nataliia ROSHCHUPKINA School of Computer Science Hubei University of Technology Wuhan China Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Research Institute of Intelligent Computer Systems Ternopil National Economic University Ternopil Ukraine Department of Computer Science and Econometrics Silesian University of Technology Gliwice Poland Computer System and Network Department Chernivtsi National University Chernivtsi Ukraine

ISBN: (纸本)9781509019946

The paper deals with improving the accuracy of the sensors under influence of non-informative factors. There are described the generalized block diagram of the data acquisition system and its measurement channels which provide the sensors signal processing. The generalized block diagram of the calculation process is proposed, and the structure of used neural networks is shown. Both scheme and algorithm of data processing are described. The measurement error of the proposed system was evaluated. It confirmed that proposed system adds the error of 0.32% which is very small in comparison with the etalon mean of 1%. The proposed system allows use of the sensors with a significant influence of non-informative factors.

关键词： Multisensor Sensor Neural Network Individual Transfer Function data Acquisition System Measuring Channels Algorithm

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Analysis of 1/f noise for polycrystalline silicon TFTs considering mobility power-law parameter

Analysis of 1/f noise for polycrystalline silicon TFTs consi...

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IEEE International Nanoelectronics Conference (INEC)

作者： Hongyu He Yuan Liu Hao Wang Xinnan Lin Xueren Zheng Shengdong Zhang School of Electrical Engineering University of South China Hengyang China School of Electronic and Computer Engineering Shenzhen Graduate School Shenzhen China Science and Technology on Reliability Physics and Application of Electronic Component Laboratory China Electronic Produce Reliability and Environmental Testing Research Institute Guangzhou China School of Physics and Technology Wuhan University Wuhan China School of Electronic and Information Engineering South China University of Technology Guangzhou China

The 1/f noise characteristics are analyzed for the polycrystalline silicon (poly-Si) thin-film transistors (TFTs) in both subthreshold regime and above-threshold regime. Based on carrier number fluctuation model, our previous 1/f noise model for the amorphous InGaZnO TFTs is applied to the poly-Si TFTs considering mobility power-law parameter. The mobility power-law parameter determines the relationship between normalized drain current noise power spectral density (PSD) and drain current. The relationship is verified by the available experimental data.

关键词： Silicon Thin film transistors Logic gates Low-frequency noise Insulators

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Road network modeling with layered abstraction for path discovery in vehicle navigation systems

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Journal of Information Hiding and Multimedia Signal Processing 2016年第4期7卷 791-801页

作者： Pan, Jeng-Shyang Wang, Chen Sung, Tien-Wen Fuzhou College of Foreign Studies and Trade No. 28 Yuhuan Road Changle Fuzhou CityFujian Province350202 China Innovative Information Industry Research Center Harbin Institute of Technology Shenzhen Graduate School University Town Shenzhen City518055 China College of Information Science and Engineering Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No. 3 Xueyuan Road Fuzhou CityFujian Province350118 China

Algorithms for path planning have recently drawn renewed attention from researchers due to the advances of intelligent transportation applications. The difference on path planning between past and nowadays is the complexity of dynamic transportation network. This paper focuses on the road network modeling to speed up real time path discovery in dynamic and complex road networks. On the basis of community detection (partitioning), an agglomerative hierarchical clustering algorithm with greedy strategy is proposed in this paper. The algorithm performs a hierarchical network abstraction to make a layered road network with largest community modularity. Static and dynamic information of the real time road network conditions is concerned in the process of network abstraction. Based on the road network layering, the performance of path discovery can be improved due to the reduction of unnecessary searching. The performance of the proposed algorithm was evaluated and compared with the well-known Dijkstra and A-star algorithms. The result shows that the proposed algorithm performs better than the other two algorithms. © 2016.

关键词： Motion planning

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Surface characteristics at Dome A, Antarctica: first measurements and a guide to future ice-coring sites

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Annals of Glaciology 2017年 48卷 82-87页

作者： Xiao Cunde Li Yuansheng Ian Allison Hou Shugui Gabrielle Dreyfus Jean-Marc Barnola Ren Jiawen Bian Lingen Zhang Shenkai Takao Kameda State Key Laboratory of Cryospheric Science Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 ChinaE-mail: cdxiao@*** Chinese Academy of Meteorological Sciences 46 Zhongguancun South Avenue Beijing 100081 China Polar Research Institute of China Shanghai 200129 China Australian Antarctic Division and Antarctic Climate and Ecosystems CRC Private Bag 80 Hobart Tasmania 7001 Australia Laboratoire des Sciences du Climat et de l’Environnement Institut Pierre-Simon Laplace CEA–CNRS–Université de Versailles Saint-Quentin 91191 Gif-sur-Yvette Cedex France Laboratoire de Glaciologie et Géophysique de l’Environnement du CNRS (associé à l’Université Joseph Fourier–Grenoble I) 54 rue Molière BP 96 38402 Saint-Martin-d’Hères Cedex France Chinese Antarctic Center of Surveying and Mapping School of Geodesy and Geomatics Wuhan University 129 Luoyu Road Wuhan 430079 China Kitami Institute of Technology Koen-cho 165 Kitami 090-8507 Japan

An assessment of the glaciological and meteorological characteristics of Dome A, the summit of the East Antarctic ice sheet, is made based on field investigations during the austral summer of 2004/05. Knowledge of these characteristics is critical for future international studies such as deep ice-core drilling. The assessment shows that: (1) Dome A is characterized by a very low 10m depth firn temperature, –58.3˚C (nearly 3˚C lower than at EPICA Dome C and 1˚C lower than at Vostok). (2) Automatic weather station (AWS) measurements of snow surface height and reference layers in a snow pit indicate the present-day snow accumulation rate at Dome A is within the range 1–3cmw.e. a–1. Densification models suggest a range of 1–2cmw.e. a–1. This is lower than at other sites along the ice divide of East Antarctica (IDEA). Annual layers at Dome A are thus potentially thinner than at other sites, so that a longer record is preserved in a given ice thickness. (3) The average wind speed observed at Dome A (<4ms–1) is lower than at other sites along IDEA. Together, these parameters, combined with radio-echo sounding data and information on the subglacial drainage distribution beneath Dome A, suggest Dome A as a candidate site for obtaining the oldest ice core.

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Aperiodic sampled-data sliding-mode control of fuzzy systems with communication delays via the event-triggered method

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IEEE Transactions on Fuzzy Systems 2016年第5期24卷 1048-1057页

作者： Wen, Shiping Huang, Tingwen Yu, Xinghuo Chen, Michael Z. Q. Zeng, Zhigang School of Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan430074 China Texas A and M University at Qatar Doha23874 Qatar Platform Technologies Research Institute RMIT University MelbourneVIC3001 Australia Department of Mechanical Engineering University of Hong Kong Hong Kong

This paper studies the aperiodic sampled-data control for the sliding-mode control (SMC) scheme of fuzzy systems with communication-induced delays via the event-triggered method. In practice, it is impossible to update control in continuous manner;thus, an event-based control technique has become popular with the advantage that the control task is executed only if it is triggered by an event. In this paper, the event-based sliding-mode control (ESMC) is designed for each linear subsystem of the global fuzzy model first. Then, the conditions for "fuzzily" amalgamated ESMC are discussed to stabilize the global fuzzy model. This ensures that the SMCis executed only when necessary. Furthermore, the results are extended to the fuzzy systems with communication-induced delays. Finally, case studies are carried out to demonstrate the effectiveness of the derived results. © 2015 IEEE.

关键词： Fuzzy systems

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Person re-identification using data-driven metric adaptation 21

Person re-identification using data-driven metric adaptation

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21st International Conference on MultiMedia Modeling, MMM 2015

作者： Wang, Zheng Hu, Ruimin Liang, Chao Jiang, Junjun Sun, Kaimin Leng, Qingming Huang, Bingyue National Engineering Research Center for Multimedia Software School of Computer Wuhan University Wuhan China Research Institute of Wuhan University in Shenzhen China State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan China School of Information Science & Technology Jiujiang University Jiujiang China

ISBN: (纸本)9783319144412

Person re-identification, aiming to identify images of the same person from various cameras configured in difference places, has attracted plenty of attention in the multimedia community. In person re-identification procedure, choosing a proper distance metric is a crucial aspect [2]. Traditional methods always utilize a uniform learned metric, which ignored specific constraints given by this re-identification task that the learned metric is highly prone to over-fitting [21], and each person holding their unique characteristic brings inconsistency. Therefore, it is obviously inappropriate to merely employ a uniform metric. In this paper, we propose a data-driven metric adaptation method to improve the uniform metric. The key novelty of the approach is that we re-exploits the training data with cross-view consistency to adaptively adjust the metric. Experiments conducted on two standard data sets have validated the effectiveness of the proposed method with a significant improvement over baseline methods. © Springer International Publishing Switzerland 2015.

关键词： Computers

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Inferring Human Activity with Mobile Devices Using a Multiple Contexts Online Learning Method

Inferring Human Activity with Mobile Devices Using a Multipl...

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2016全国博士生学术论坛(测绘科学与技术)暨国务院学位委员会测绘学科评议组工作会议

作者： Keqiang Liu Yunjia Wang Ruizhi Chen Tianxing Chu Jingbin Liu School of Environment Science and Spatial Informatics China University of Mining and TechnologyXuzhou 221116China State Key Laboratory of Information Engineering in Surveying Mappingand Remote SensingWuhan UniversityWuhan 430079China Department of Remote Sensing and Photogrammetry Finnish Geospatial Research InstituteNational Land Survey of FinlandMasala 02431Finland Conrad Blucher Institute for Surveying & Science Texas A&M University-Corpus ChristiCorpus ChristiTX 78412-5868USA

Human activity inference and recognition on mobile devices has many applications in personal health,wellness,and *** machine learning approach with independent model learning phase and activity inference phase is a typical approach for recognition and inference,however,this offline method is not time-efficient in model updating and it cannot make full use of the latest data for model *** order to overcome these disadvantages,an online learning method is presented in this paper with mining multiple contextual data *** firstly uses current individual contextual data to infer current activity with the existed classification model and then updates the model with current data and its true activity *** assessments were conducted on a workstation based on a live dataset collected on the campus of Texas A&M university-Corpus Christi(TAMUCC)by a *** first assessment is a 10-fold cross-validation test to compare the performance of the offline approaches(naive Bayes offline and C4.5 algorithm)and online approaches(naive Bayes online and Hoeffding tree algorithm)in terms of classification accuracy,learning time efficiency and memory *** the other assessment is an interleaved test-then-train test to demonstrate the “real-time” property of online learning method(with naive Bayes online and Hoeffding tree algorithm).The result of first assessment shows that the online learning method is more time-efficient than offline learning,and the second assessment demonstrates that models can be updated at every example which means online learning method is able to make maximum use of the latest available data.

关键词： Human activity recognition machine learning online learning multiple contextual data mining

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A Semantic++ Programming Design Mechanism for big data 11

A Semantic++ Programming Design Mechanism for Big Data

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11th International Conference on Semantics, Knowledge and Grids, SKG 2015

作者： Zhang, Guigang Li, Jianqiang Yang, Yi Wang, Jian Xiao, Ruliang Zhai, Xiaoshuang Jin, Feng Institute OfAutomation Chinese Academy of Science Beijing100190 China Beijing University of Technology Beijing100124 China Fujian Normal University Fuzhou350117 China Fujian Provincial University Engineering Research Center of Big Data Analysis and Application Fuzhou350117 China Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781467398084

In this paper, we propose a semantic++ programming design mechanism for big data. We introduce the concepts of semantic computing, semantic+ computing, and semantic++ computing. We propose semantic++ programming design mechanism on big data environment including concepts, and architecture. We also present a case study of semantic++ programming to show how to use Semantic++ computing. Our research presents a kind of new programming design method on big data environment, especially for data-intensive web applications. © 2015 IEEE.

关键词： big data

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Double-erasure correcting code methods for parity disk to recover failure data

Double-erasure correcting code methods for parity disk to re...

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2015 5th International Workshop on Computer science and engineering: Information Processing and Control engineering, WCSE 2015-IPCE

作者： Shaikh, Ghulam Muhammad Zhang, Quanxin Mu, Qing Wu, Fei Tan, Yu-An Beijing Engineering Research Center of Massive Language Information Process. and Cloud Comp. Applic. School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan430074 China

In a redundant disk array the protection of data against disaster disk failure is very critical. Nowadays, single disk is highly responsible when a redundant disk array failure occurs. The results saving several other disks and reduce the probability of failure that at least one disk will fail. The data is distributed on several disks and the distributed data are store an independently. We present a double-erasure correcting code with proved theorem and evaluate code to recover a failure data from parity disk.

关键词： Codes (symbols)

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Study of correlations in high energy proton-proton collisions

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Journal of High Energy Physics 2017年第11期2017卷 1-28页

作者： Aaij, R. Adeva, B. Adinolfi, M. Ajaltouni, Z. Akar, S. Albrecht, J. Alessio, F. Alexander, M. Alfonso Albero, A. Ali, S. Alkhazov, G. Alvarez Cartelle, P. Alves, A. A. Amato, S. Amerio, S. Amhis, Y. An, L. Anderlini, L. Andreassi, G. Andreotti, M. Andrews, J. E. Appleby, R. B. Archilli, F. d’Argent, P. Arnau Romeu, J. Artamonov, A. Artuso, M. Aslanides, E. Auriemma, G. Baalouch, M. Babuschkin, I. Bachmann, S. Back, J. J. Badalov, A. Baesso, C. Baker, S. Balagura, V. Baldini, W. Baranov, A. Barlow, R. J. Barschel, C. Barsuk, S. Barter, W. Baryshnikov, F. Batozskaya, V. Battista, V. Bay, A. Beaucourt, L. Beddow, J. Bedeschi, F. Bediaga, I. Beiter, A. Bel, L. J. Beliy, N. Bellee, V. Belloli, N. Belous, K. Belyaev, I. Ben-Haim, E. Bencivenni, G. Benson, S. Beranek, S. Berezhnoy, A. Bernet, R. Berninghoff, D. Bertholet, E. Bertolin, A. Betancourt, C. Betti, F. Bettler, M.-O. van Beuzekom, M. Bezshyiko, Ia. Bifani, S. Billoir, P. Birnkraut, A. Bitadze, A. Bizzeti, A. Bjørn, M. Blake, T. Blanc, F. Blouw, J. Blusk, S. Bocci, V. Boettcher, T. Bondar, A. Bondar, N. Bonivento, W. Bordyuzhin, I. Borgheresi, A. Borghi, S. Borisyak, M. Borsato, M. Bossu, F. Boubdir, M. Bowcock, T. J. V. Bowen, E. Bozzi, C. Braun, S. Britton, T. Brodzicka, J. Brundu, D. Buchanan, E. Burr, C. Bursche, A. Buytaert, J. Byczynski, W. Cadeddu, S. Cai, H. Calabrese, R. Calladine, R. Calvi, M. Calvo Gomez, M. Camboni, A. Campana, P. Campora Perez, D. H. Capriotti, L. Carbone, A. Carboni, G. Cardinale, R. Cardini, A. Carniti, P. Carson, L. Carvalho Akiba, K. Casse, G. Cassina, L. Castillo Garcia, L. Cattaneo, M. Cavallero, G. Cenci, R. Chamont, D. Chapman, M. G. Charles, M. Charpentier, Ph. Chatzikonstantinidis, G. Chefdeville, M. Chen, S. Cheung, S. F. Chitic, S.-G. Chobanova, V. Chrzaszcz, M. Chubykin, A. Ciambrone, P. Cid Vidal, X. Ciezarek, G. Clarke, P. E. L. Clemencic, M. Cliff, H. V. Closier, J. Cogan, J. Cogneras, E. Cogoni, V. Cojocariu, L. Collins, P. Colombo, T. Comerma-Montells, A. Contu, A. Cook, A. Coombs, G. Coquereau, S. Corti, G. Corvo European Organization for Nuclear Research (CERN) Geneva Switzerland Universidad de Santiago de Compostela Santiago de Compostela Spain H.H. Wills Physics Laboratory University of Bristol Bristol United Kingdom Clermont Université Université Blaise Pascal CNRS/IN2P3 LPC Clermont-Ferrand France University of Cincinnati Cincinnati United States Fakultät Physik Technische Universität Dortmund Dortmund Germany School of Physics and Astronomy University of Glasgow Glasgow United Kingdom ICCUB Universitat de Barcelona Barcelona Spain Nikhef National Institute for Subatomic Physics Amsterdam The Netherlands Petersburg Nuclear Physics Institute (PNPI) Gatchina Russia Imperial College London London United Kingdom Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro Brazil Sezione INFN di Padova Padova Italy LAL Université Paris-Sud CNRS/IN2P3 Orsay France Center for High Energy Physics Tsinghua University Beijing China Sezione INFN di Firenze Firenze Italy Institute of Physics Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Universita e INFN Ferrara Ferrara Italy Università di Ferrara Ferrara Italy University of Maryland College Park United States School of Physics and Astronomy University of Manchester Manchester United Kingdom Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Heidelberg Germany Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France Institute for High Energy Physics (IHEP) Protvino Russia Syracuse University Syracuse United States Sezione INFN di Roma La Sapienza Roma Italy Department of Physics University of Warwick Coventry United Kingdom LIFAELS La Salle Universitat Ramon Llull Barcelona Spain Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) Rio de Janeiro Brazil Laboratoire Leprince-Ringuet Palaiseau France Yandex School of Data Analysis Moscow Russia Institute of Theoretical and Experimental Physics (ITEP) Moscow Russia National Center for Nuclear Research (NCBJ) Wars

Kinematic correlations for pairs of beauty hadrons, produced in high energy proton-proton collisions, are studied. The data sample used was collected with the LHCb experiment at centre-of-mass energies of 7 and 8 TeV and corresponds to an integrated luminosity of 3 fb−1. The measurement is performed using inclusive b → J/ψX decays in the rapidity range 2 < yJ/ψ < 4.5. The observed correlations are in good agreement with theoretical predictions.

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