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International IEEE Conference on Intelligent Transportation Systems

作者： Stefanos Skalistis Dobrila Petrovic Siraj Ahmed Shaikh Department of Computing Faculty of Engineering and Computing Coventry University Control Theory and Applications Centre (CTAC) Faculty of Engineering and Computing Coventry University Digital Security and Forensics (SaFe) Research Group Faculty of Engineering and Computing Coventry University

ISBN: (纸本)9781479929153

Heavy duty vehicles are vastly used in numerous fields such as public transportation, construction, logistics and military. The increased possibility of overheating the engine of such vehicles, when operating under extreme heat conditions, is a well-known and widely accepted problem which in turn results on stopping the vehicle and waiting to cool down. In this paper a novel fuzzy controller is presented that handles with such overheating issues. Several simulated experiments were performed in order to evaluate the controller's applicability and performance in various terrains. Results show an improvement on the performance of each vehicle as well as the whole convoy.

关键词： Gears Vehicles Heating Engines Roads Neural networks Computational modeling

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Distributed computing and artificial intelligence: 10th international conference

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Advances in Intelligent Systems and computing 2013年 217卷

作者： Omatu, Sigeru Neves, José Rodríguez, Juan M. Corchado de Paz Santana, Juan F. P. González, Sara Rodríguez Graduate School of Engineering Osaka Prefecture University Osaka Japan Department of Computing Science University of Minho Braga Codex Portugal Department of Computing Science and Control University of Salamanca Salamanca Spain

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Proceedings of the Frontiers of Retrovirology Conference 2016

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Retrovirology 2016年第1期13卷 1-40页

作者： Irena Zurnic Sylvia Hütter Nicole Stanke Tobias Kern Fabian Lindel Gesche Gerresheim Martin Hamann Erik Müllers Dirk Lindemann Ute Lehmann Juliane Reh Paul Lesbats Peter Cherepanov Melanie Mann Erik Serrao Alan Engelman Claire Da Silva Santos Kevin Tartour Andrea Cimarelli Rya Burdick Jianbo Chen Jaya Sastri Wei-Shau Hu Vinay Pathak Oliver T. Keppler Patrícia de Sousa-Pereira Hanna-Mari Baldauf Marcel Stern Karine Pradeau Sylvia Eiler Nicolas Levy Marc Ruff Sarah Lennon Sarah Cianferani Stéphane Emiliani Vincent Parissi Sylvie Rato Miguel Munoz Angela Ciuffi Antonio Rausell Amalio Telenti Alexander Zhyvoloup Ian Anderson Chen- Hsuin Lee Ariberto Fassati Anat Melamed Delphine Planas Petronela Ancuta Yuwei Zhang Huicheng Chen Annie Bernier Annie Gosselin Janos Kriston-Vizi Robin Ketteler Andy Merritt Charles Bangham Jocelyn Turpin Anthony Rodari Benoit Van Driessche Mathilde Galais Nadége Delacourt Sylvain Fauquenoy Caroline Vanhulle Anna Kula Carine Van Lint Ernst J. Wolvetang Arsène Burny Olivier Rohr Thijs van Montfort Renee van der Sluis Ben Berkhout Dave Speijer Gang Wang Na Zhao Atze T. Das Mirte Scherpenisse Bo Meng Andrzej Rutkowski Lars Dölken Andrew Lever Neil Berry Claire Ham Neil Almond Hoi Ping Mok Nicholas Norton Axel Fun Jack Hirst Mark Wills Chris Hellmund Harriet Groom Thomas Schuster Benedikt Asbach Ralf Wagner Christine Gross Martina Kalmer Andrea K. Thoma-Kress Norbert Donhauser Sebastian Millen Sandra M. Müller-Schmucker Veit Wiesmann Thomas Wittenberg Jan Gettemans Minghua Li Shan-Lu Liu Eric O. Freed Janis Müller Jan Münch Simone Joas Clement Wesley Gnanadurai Edina Lump Christina M. Stürzel Daniel Sauter Frank Kirchhoff Katharina Mack Kathrin Starz Christina Stürzel Xaver Sewald Nasim Motamedi Pradeep Uchil Ruoxi Pi Christin Herrmann Walther Mothes Mark Ladinsky Pamela Bjorkman Jagadish Beloor Priti Kumar Thomas Murooka Thorsten Mempel Michael Brehm Dale Greiner Erica Parrish Nicholas F. Parrish Beatrice H. Hahn Frederic Bibollet-Ruche Ulrike Sauermann Katharina Töpfer Tina Schultheiss Chris Molecular Virology and Gene Therapy Molecular Medicine Leuven Belgium Molecular Virology Technical University Dresden Dresden Germany Center for Regenerative Therapies Dresden Dresden Germany Potsdam University Potsdam Germany The Francis Crick Institute London Great Britain Institute of Clinical and Molecular Virology Friedrich-Alexander-Universität Erlangen-Nuremberg Erlangen Germany Dana Farber Cancer Institute Boston MA United States CIRI Lyon France National Cancer Institute Frederick MD United States Virology Max von Pettenkofer-Institut LMU Munich Munich Germany Institute of Medical Virology University of Frankfurt Frankfurt a. M. Germany German Center for Infection Research Munich Germany Institute of Medical Virology University Hospital Frankfurt Frankfurt a. M. Germany CIBIO/InBIO University of Porto Vairão Portugal Faculty of Sciences University of Porto Porto Portugal Virology Max von Pettenkofer Institute LMU Munich Germany Institute for Medical Virology Frankfurt a. M. Germany Integrative structural Biology IGBMC Illkirch France Institut Pluridisciplinaire Hubert Curien Strasbourg France Institut Cochin Paris France CNRS UMR5234 MFP Lab Bordeaux France Associated International Laboratory (LIA) Microbiology and Immunology CNRS/Université de Bordeaux/Heinrich Pette Institute-Leibniz Institute for Experimental Virology Bordeaux/Hamburg France Institute of Microbiology University Hospital Center and University of Lausanne Lausanne Switzerland Imagine Institute Paris Descartes University Paris France J. Craig Venter Institute La Jolla CA United States Infection University College London London Great Britain Medicine Imperial College London Great Britain Microbiology & Infection University of Montreal Montreal Great Britain CRCHUM Montreal Canada University College London LMCB London Great Britain MRC Technology Centre for Therapeutic Discovery London Great Britain Section of Virology Department of Medicine Imperial Co

Oral presentationsSession 1: Entry & uncoatingO1 Host cell polo-like kinases (PLKs) promote early prototype foamy virus (PFV) replicationIrena Zurnic, Sylvia Hütter, Ute Lehmann, Nicole Stanke, Juliane Re... 详细信息

Oral presentations

Session 1: Entry & uncoating

O1 Host cell polo-like kinases (PLKs) promote early prototype foamy virus (PFV) replication

Irena Zurnic, Sylvia Hütter, Ute Lehmann, Nicole Stanke, Juliane Reh, Tobias Kern, Fabian Lindel, Gesche Gerresheim, Martin Hamann, Erik Müllers, Paul Lesbats, Peter Cherepanov, Erik Serrao, Alan Engelman, Dirk Lindemann

O2 A novel entry/uncoating assay reveals the presence of at least two species of viral capsids during synchronized HIV-1 infection

Claire Da Silva Santos, Kevin Tartour, Andrea Cimarelli

O3 Dynamics of nuclear envelope association and nuclear import of HIV-1 complexes

Rya Burdick, Jianbo Chen, Jaya Sastri, Wei-Shau Hu, Vinay Pathak

O4 Human papillomavirus protein E4 potently enhances the susceptibility to HIV infection

Oliver T. Keppler

Session 2: Reverse transcription & integration

O5 Structure and function of HIV-1 integrase post translational modifications

Karine Pradeau, Sylvia Eiler, Nicolas Levy, Sarah Lennon, Sarah Cianferani, Stéphane Emiliani, Marc Ruff

O6 Regulation of retroviral integration by RNA polymerase II associated factors and chromatin structure

Vincent Parissi

Session 3: Transcription and latency

O7 A novel single-cell analysis pipeline to identify specific biomarkers of HIV permissiveness

Sylvie Rato, Antonio Rausell, Miguel Munoz, Amalio Telenti, Angela Ciuffi

O8 A capsid-dependent integration program linking T cell activation to HIV-1 gene expression

Alexander Zhyvoloup, Anat Melamed, Ian Anderson, Delphine Planas, Janos Kriston-Vizi, Robin Ketteler, Chen-Hsuin Lee, Andy Merritt, Petronela Ancuta, Charles Bangham, Ariberto Fassati

O9 Characterisation of new RNA polymerase III and RNA polymerase II transcriptional promoters in the Bovine Leukemia Virus genome

Anthony Rodari, Benoit Van Driessche, Mathilde Galais, Nadége Delacourt, Sylv

关键词： Human Immunodeficiency Virus Infection Simian Immunodeficiency Virus Feline Immunodeficiency Virus Bovine Leukemia Virus Prototype Foamy Virus

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Developing an optimized application hosting framework in Clouds

Developing an optimized application hosting framework in Clo...

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作者： Shi, Xuanhua Jiang, Hongbo He, Ligang Jin, Hai Wang, Chonggang Yu, Bo Chen, Xueguang Service Computing Technology and Systems Lab School of Computer Huazhong University of Science and Technology China Department of Electronics and Information Engineering Huazhong University of Science and Technology China Department of Computer Science University of Warwick United Kingdom InterDigital Communications Corp. United States Department of Automation Control and Engineering Huazhong University of Science and Technology China

A Cloud system, which is also often called a data center, may host a large number of application servers (termed as applications for short in this paper) that consume various types of resource, such as CPU, memory, and I/O. In such a scenario, the application placement strategy, which specifies how to host applications across the physical servers in the Cloud, is critical to achieve good system- and/or client-oriented performance. The existing application placement algorithms in literature assume that the consumption of system resources is proportional to the level of workloads submitted to the system. In this paper, we reveal that it may not be the case in some circumstances. Based on this observation, we design and implement an application placement framework, called EAPAC, for Clouds. The developed framework is able to achieve the optimized performance by judiciously allocating to the applications a proper mixture of different types of application request as well as an appropriate number of requests in each type. Further, we investigate the issue of resource conflicts among different applications when there exist concurrent requests in the system. We have conducted extensive experiments to evaluate the performance of the developed framework. The experiment results show that compared with the existing method in literature, EAPAC can improve the performance by 35% in terms of the reply rate. © 2013 Elsevier Inc.

关键词： Application placement Cloud Resource conflicts

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Sensor data quality assessment for building simulation model calibration based on automatic differentiation

Sensor data quality assessment for building simulation model...

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2013 IEEE International Conference on Automation Science and engineering, CASE 2013

作者： Li, Sisi Song, Zhen Zhou, Mengchu Lu, Yan Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07013 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Automation and Control Siemens Corporation Corporate Technology Princeton NJ 08540 United States

ISBN: (纸本)9781479915156

Building simulation models play a vital role in optimal building climate control, energy audit, fault detection and diagnosis, continuous commissioning, and planning. Real system parameters are often unknown or partially unknown and need to be identified through historical data, which are currently acquired by heuristically designed experiments. Without quality sensor data, model calibration is prone to fail, even if the calibration algorithm is appropriate. In this paper, we propose a Fisher-information-matrix (FIM)-based metric to examine the sensor data measurements and how their quality is related to the model calibration quality. It aims to provide quantitative guidance in the calibration cycle of a whole building model that takes as many variables as possible into consideration for the sake of accuracy. Our concerned model is based on well-known physical laws and tries to avoid simplification, thereby leading to a highly discontinuous system with model switches due to the seasonal or daily variation and other reasons. Such a model is implemented in the form of a software package. Hence, no explicit mathematical expression can be given. A key technical challenge is that the complexity of the model prohibits the analytical derivation of FIM, while the numeric calculation is sensitive to sensor noise and model switches. We, hence, propose to adopt an automatic differentiation method, which exploits the operator overload feature of object oriented programming language, for robust numerical FIM calculation. © 2013 IEEE.

关键词： Numerical methods

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Interlayer vibrational modes in few-quintuple-layer Bi2Te3 and Bi2Se3 two-dimensional crystals: Raman spectroscopy and first-principles studies

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Physical Review B 2014年第24期90卷 245428-245428页

作者： Yanyuan Zhao Xin Luo Jun Zhang Junxiong Wu Xuxu Bai Meixiao Wang Jinfeng Jia Hailin Peng Zhongfan Liu Su Ying Quek Qihua Xiong Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Institute of High Performance Computing 1 Fusionopolis Way #16-16 Connexis Singapore 138632 Singapore Department of Physics Centre for Advanced 2D Materials and Graphene Research Centre National University of Singapore 6 Science Drive 2 Singapore 117546 Singapore Center for Nanochemistry Beijing National Laboratory for Molecular Sciences (BNLMS) College of Chemistry and Molecular Engineering Peking University Beijing 100871 People's Republic of China Department of Physics Key Laboratory of Artificial Structures and Quantum Control Ministry of Education Shanghai Jiao Tong University Shanghai 200240 People's Republic of China NOVITAS Nanoelectronics Centre of Excellence School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore

Layered materials, such as graphite/graphene, boron nitride, transition metal dichalcogenides, represent materials in which reduced size, dimensionality, and symmetry play critical roles in their physical properties. Here, we report on a comprehensive investigation of the phonon properties in the topological insulator Bi2Te3 and Bi2Se3 two-dimensional (2D) crystals, with the combination of Raman spectroscopy, first-principles calculations, and group theory analysis. Low frequency (<30cm−1) interlayer vibrational modes are revealed in few-quintuple-layer (QL) Bi2Te3/Bi2Se3 2D crystals, which are absent in the bulk crystal as a result of different symmetries. The experimentally observed interlayer shear and breathing mode frequencies both show blueshifts, with decreasing thickness in few-QL Bi2Te3 (down to 2QL) and Bi2Se3 (down to 1QL), in agreement with first-principles calculations and a linear chain model, from which the interlayer coupling force constants can be estimated. Besides, an intense ultralow (<12cm−1) frequency peak is observed in 2–4QL Bi2Te3, which is tentatively attributed to a substrate-induced interface mode supported by a linear chain model analysis. The high frequency Raman peaks exhibit frequency shifts and broadening from 3D to 2D as a result of the phonon confinement effect. Our studies shed light on a general understanding of the influence of dimensionality and crystal symmetry on the phonon properties in layered materials.

关键词： RAMAN spectroscopy GROUP theory CRYSTAL symmetry GRAPHITE BORON nitride TRANSITION metals PHONONS

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Types of the National Markets of Ancillary Services and Balancing Energy

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Journal of Energy and Power engineering 2013年第10期7卷 1884-1891页

作者： Ana Horvat Sedlie Niko Mandie Bosko Milesevie System Control Department Croatian Transmission System Operator Kupska Zagreb 4-10000 Croatia University of Zagreb Faculty of Electrical Engineering and Computing Unska Zagreb 3-10000 Croatia

Modeling of ancillary services market can be described as institutional arrangements for establishing ancillary services management in deregulated electricity market. Models of the national ancillary services markets are market models which offer transmission system operator efficient procurement of ancillary services, reducing the system management risk, more competitive electricity market, better utilization of production facilities and complete deregulation of electricity markets. This paper deals with current mode of ancillary services market and potential market development in Croatia. Described models are used for establishing market of ancillary services which should occur in parallel with the electricity market.

关键词： Energy ancillary services balancing market models.

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Extended Kalman Filter Based Echo State Network for Time Series Prediction using MapReduce Framework

Extended Kalman Filter Based Echo State Network for Time Ser...

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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Chunyang Sheng Jun Zhao Henry Leung Wei Wang School of Control Science and Engineering Dalian University of Technology Dalian P. R. China Department of Electrical and Computing Engineering University of Calgary Calgary Canada

Echo state networks (ESNs), that exhibit good performance for modeling a nonlinear or non-Gaussian dynamic system, have been widely used for time series prediction. However, estimating the output weights of the ESNs remains intractable. Extended Kalman filter (EKF) is an effective estimate method, but its computational cost is relatively high. In this study, a MapReduce framework based parallelized EKF is proposed to learn the parameters of the network, in which two MapReduce based models are designed, and each of them is composed of a set of mapper and reducer functions. The mapper receives a training sample and generates the updates of the internal states or the output weights, while the reducer merges all updates associated with the same key to produce an average value. To verify the effectiveness and the efficiency of the proposed method, an industrial data prediction problem coming from the blast furnace gas (BFG) system in steel industry is employed for the validation experiments, and the experimental results demonstrate that the proposed parallelized EKF can efficiently estimate the parameters of the ESN with good performance and computing time.

关键词： Training Kalman filters Reservoirs Computational efficiency Linear regression Bayes methods Time series analysis

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C2G2FSnake: automatic tongue image segmentation utilizing prior knowledge

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Science China(Information Sciences) 2013年第9期56卷 154-167页

作者： SHI MiaoJing LI GuoZheng LI FuFeng The Key Laboratory of Embedded System and Service Computing Ministry of Education Department of Control Science and Engineering Tongji University Laboratory of Information Access and Synthesis of TCM Four Diagnosis Shanghai University of Traditional Chinese Medicine

Extraction of the tongue body from digital images is essential for automated tongue diagnoses in traditional Chinese medicine. This paper presents a fully automated active contour initial method that utilizes prior knowledge of the tongue shape and its location in tongue images. Then colorspace information is introduced to control curve evolution. Combining the geometrical Snake model with the parameterized GVFSnake model, a novel approach for automatic tongue segmentation: C2G2FSnake (color control-geometric & gradient flow Snake) is proposed. This method increases the curve velocity but decreases the complexity. C2G2FSnake greatly extends practical usage to tongue segmentation, at the same time increasing the precision. Compared with other state-of-the-art works using different images of tongue color, C2G2FSnake realizes automatic tongue segmentation with greatly improved accuracy.

关键词： tongue diagnosis tongue segmentation color space-control Snake parameterized Snake geomet- ric Snake

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A robust approach to using of the redundant information in the temperature calibration

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AIP Conference Proceedings 2013年第1期1552卷 498-503页

作者： R. Strnad L. Kňazovická M. Šindelář J. Kukal Czech Metrology Institute Okružní 31 638 00 Brno Czech Republic Czech Metrology Institute Okružní 31 638 00 Brno Czech Republic and Department of Computing and Control Engineering Institute of Chemical Technology Prague Technická 5 166 28 Prague 6 Czech Republic Department of Computing and Control Engineering Institute of Chemical Technology Prague Technická 5 166 28 Prague 6 Czech Republic

In the calibration laboratories are used standard procedures for calculating of the calibration model coefficients based on well described standards (EN 60751, ITS-90, EN 60584, etc.). In practice, sensors are mostly calibrated in more points and redundant information is used as a validation of the model. This paper will present the influence of including all measured points with respect to their uncertainties to the measured models using standard weighted least square methods. A special case with regards of the different level of the uncertainty of the measured points in case of the robust approach will be discussed. This will go to the different minimization criteria and different uncertainty propagation methodology. This approach also will eliminate of the influence of the outline measurements in the calibration. In practical part will be three cases of this approach presented, namely industrial calibration according to the standard EN 60751, SPRT according to the ITS-90 and thermocouple according to the standard EN 60584.

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