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arXiv 2020年

作者： Petropoulos, Fotios Apiletti, Daniele Assimakopoulos, Vassilios Babai, Mohamed Zied Barrow, Devon K. Taieb, Souhaib Ben Bergmeir, Christoph Bessa, Ricardo J. Bijak, Jakub Boylan, John E. Browell, Jethro Carnevale, Claudio Castle, Jennifer L. Cirillo, Pasquale Clements, Michael P. Cordeiro, Clara Oliveira, Fernando Luiz Cyrino de Baets, Shari Dokumentov, Alexander Ellison, Joanne Fiszeder, Piotr Franses, Philip Hans Frazier, David T. Gilliland, Michael Gönül, M. Sinan Goodwin, Paul Grossi, Luigi Grushka-Cockayne, Yael Guidolin, Mariangela Guidolin, Massimo Gunter, Ulrich Guo, Xiaojia Guseo, Renato Harvey, Nigel Hendry, David F. Hollyman, Ross Januschowski, Tim Jeon, Jooyoung Jose, Victor Richmond R. Kang, Yanfei Koehler, Anne B. Kolassa, Stephan Kourentzes, Nikolaos Leva, Sonia Li, Feng Litsiou, Konstantia Makridakis, Spyros Martin, Gael M. Martinez, Andrew B. Meeran, Sheik Modis, Theodore Nikolopoulos, Konstantinos Önkal, Dilek Paccagnini, Alessia Panagiotelis, Anastasios Panapakidis, Ioannis Pavía, Jose M. Pedio, Manuela Pedregal, Diego J. Pinson, Pierre Ramos, Patrícia Rapach, David E. Reade, J. James Rostami-Tabar, Bahman Rubaszek, Michal Sermpinis, Georgios Shang, Han Lin Spiliotis, Evangelos Syntetos, Aris A. Talagala, Priyanga Dilini Talagala, Thiyanga S. Tashman, Len Thomakos, Dimitrios Thorarinsdottir, Thordis Todini, Ezio Arenas, Juan Ramón Trapero Wang, Xiaoqian Winkler, Robert L. Yusupova, Alisa Ziel, Florian School of Management University of Bath United Kingdom Politecnico di Torino Turin Italy Forecasting and Strategy Unit School of Electrical and Computer Engineering National Technical University of Athens Greece Kedge Business School France Department of Management Birmingham Business School University of Birmingham United Kingdom Belgium Faculty of Information Technology Monash University Melbourne Australia INESC TEC – Institute for Systems and Computer Engineering Technology and Science Porto Portugal Department of Social Statistics and Demography University of Southampton United Kingdom Centre for Marketing Analytics and Forecasting Lancaster University Management School Lancaster University United Kingdom School of Mathematics and Statistics University of Glasgow United Kingdom Department of Mechanical and Industrial Engineering University of Brescia Italy Magdalen College University of Oxford United Kingdom ZHAW School of Management and Law Zurich University of Applied Sciences Switzerland ICMA Centre Henley Business School University of Reading United Kingdom Faculdade de Ciências e Tecnologia Universidade do Algarve Portugal CEAUL Faculdade de Ciências Universidade de Lisboa Portugal Brazil Department of Business Informatics and Operations Management Faculty of Economics and Business Administration Universiteit Gent Belgium Let’s Forecast Australia Faculty of Economic Sciences and Management Nicolaus Copernicus University in Torun Poland Econometric Institute Erasmus School of Economics Rotterdam Netherlands Department of Econometrics and Business Statistics Monash University Melbourne Australia SAS United States Newcastle Business School Northumbria University Newcastle upon Tyne United Kingdom Department of Statistical Sciences University of Padua Italy Darden School of Business University of Virginia United States Finance Department Bocconi University Baffi-CAREFIN Centre Milan Italy Department of Tourism and Service Management MODUL Un

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases. © 2020, CC BY.

关键词： Forecasting

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Biogeography-based optimization for cluster analysis

Biogeography-based optimization for cluster analysis

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International Conference on computer, Communication and Computational Sciences, ICCCCS 2016

作者： Wu, Xueyan Wang, Hainan Chen, Zhimin Lu, Zhihai Phillips, Preetha Wang, Shuihua Zhang, Yudong School of Computer Science and Technology Nanjing Normal University NanjingJiangsu210023 China Key Laboratory of Statistical Information Technology & Data Mining State Statistics Bureau ChengduSichuan610225 China School of Computer and Information Engineering Henan Normal University XinxiangHenan453000 China School of Electronic Information Shanghai Dianji University Shanghai200240 China Key Laboratory of Symbolic Computation & Knowledge Engineering of Ministry of Education Jilin University ChangchunJilin130012 China Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology GuilinGuangxi541004 China School of Natural Sciences and Mathematics Shepherd University ShepherdstownWV25443 United States West Virginia School of Osteopathic Medicine 400 N Lee St LewisburgWV24901 United States Department of Electrical Engineering The City College of New York CUNY New YorkNY10031 United States State Key Lab of CAD & CG Zhejiang University HangzhouZhejiang310027 China Manchester Metropolitan University ManchesterM156BH United Kingdom

ISBN: (纸本)9789811037696

With the aim of resolving the issue of cluster analysis more precisely and validly, a new approach was proposed based on biogeography-based optimization (abbreviated as BBO) algorithm. (Method) First, we reformulated the problem with an optimization model based on the variance ratio criterion (VARAC). Then, BBO was presented to search the optimal solution of the VARAC. There are 400 data of four groups in the experimental dataset, which have the degrees of overlapping of three distinct scales. The first one is nonoverlapping, the second one is partial overlapping, and the last is severely overlapping. BBO algorithm was compared with three different state-of-the-art approaches. We ran every algorithm 20 times. In this experiment, our results demonstrate the maximum VARAC values that can be found by BBO. The conclusion is that BBO is predominant which is extremely quick for the issue of clustering analysis. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Cluster analysis

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Dense matter with eXTP

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Science China(Physics,Mechanics & Astronomy) 2019年第2期62卷 28-44页

作者： Anna L.Watts WenFei Yu Juri Poutanen Shu Zhang Sudip Bhattacharyya Slavko Bogdanov Long Ji Alessandro Patruno Thomas E.Riley Pavel Bakala Altan Baykal Federico Bernardini Ignazio Bombaci Edward Brown Yuri Cavecchi Deepto Chakrabarty Jér?me Chenevez Nathalie Degenaar Melania Del Santo Tiziana Di Salvo Victor Doroshenko Maurizio Falanga Robert D.Ferdman Marco Feroci Angelo F.Gambino MingYu Ge Svenja K.Greif Sebastien Guillot Can Gungor Dieter H.Hartmann Kai Hebeler Alexander Heger Jeroen Homan Rosario Iaria Jean in 't Zand Oleg Kargaltsev Aleksi KurkelaTheoretical Physics Department CERN XiaoYu Lai Ang Li XiangDong Li ZhaoSheng Li Manuel Linares FangJun Lu Simin Mahmoodifar Mariano Méndez M.Coleman Miller Sharon Morsink Joonas N?ttil? Andrea Possenti Chanda Prescod-Weinstein JinLu Qu Alessandro Riggio Tuomo Salmi Andrea Sanna Andrea Santangelo Hendrik Schatz Achim Schwenk LiMing Song Eva?rámková Benjamin Stappers Holger Stiele Tod Strohmayer Ingo Tews Laura Tolos Gabriel T?r?k David Tsang Martin Urbanec Andrea Vacchi RenXin Xu YuPeng Xu Silvia Zane GuoBao Zhang ShuangNan Zhang WenDa Zhang ShiJie Zheng Xia Zhou Anton Pannekoek Institute for Astronomy University of Amsterdam Shanghai Astronomical Observatory Tuorla Observatory Department of Physics and Astronomy University of Turku Nordita KTH Royal Institute of Technology and Stockholm University Institute of High Energy Physics Chinese Academy Sciences Tata Institute of Fundamental Research Columbia Astrophysics Laboratory Columbia University Institut für Astronomie und Astrophysik Tübingen Universit?t Tübingen Leiden Observatory Leiden University Research Center for Computational Physics and Data Processing Silesian University in Opava Physics Department Middle East Technical University INAF Osservatorio Astronomico di Roma New York University Abu Dhabi Dipartimento di Fisica Enrico Fermi University of Pisa INFN Italian National Institute for Nuclear Physics Department of Physics and Astronomy Michigan State University Department of Astrophysical Sciences Princeton University Mathematical Sciences and STAG Research Centre University of Southampton MIT Kavli Institute for Astrophysics and Space Research DTU Space Technical University of Denmark INAF/IASF Palermo via Ugo La Malfa 153 Universita degli Studi di Palermo Dipartimento di Fisica e Chimica International Space Science Institute (ISSI) Faculty of Science University of East Anglia INAF Istituto di Astrofisica e Planetologie Spaziali Institut für Kernphysik Technische Universit?t Darmstadt ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Instituto de Astrof'?sica Pontificia Universidad Católica de Chile Department of Physics & Astronomy Kinard Lab of Physics Clemson University School of Physics and Astronomy Monash University SRON Netherlands Institute for Space Research Department of Physics The George Washington University Faculty of Science and Technology University of Stavanger School of Physics and Mechanical & Electrical Engineering Hubei University of Education Department of Astronomy Xiamen University (Haiyun Campus) School of Astronomy and Space

In this White Paper we present the potential of the Enhanced X-ray Timing and Polarimetry(eXTP) mission for determining the nature of dense matter; neutron star cores host an extreme density regime which cannot be replicated in a terrestrial laboratory. The tightest statistical constraints on the dense matter equation of state will come from pulse profile modelling of accretion-powered pulsars, burst oscillation sources, and rotation-powered pulsars. Additional constraints will derive from spin measurements, burst spectra, and properties of the accretion flows in the vicinity of the neutron star. Under development by an international Consortium led by the Institute of High Energy Physics of the Chinese Academy of Sciences, the eXTP mission is expected to be launched in the mid 2020 s.

关键词： neutron X-rays dense matter equation of state

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Thread-aware adaptive prefetcher on multicore systems: Improving the performance for multithreaded workloads

Thread-aware adaptive prefetcher on multicore systems: Impro...

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作者： Liu, Peng Yu, Jiyang Huang, Michael C. College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi214125 China Department of Shannon Lab. Huawei Technologies Co. Ltd. Hangzhou310051 China Department of Electrical and Computer Engineering University of Rochester RochesterNY14627-0231 United States

Most processors employ hardware data prefetching techniques to hide memory access latencies. However, the prefetching requests from different threads on a multicore processor can cause severe interference with prefetching and/or demand requests of others. The data prefetching can lead to significant performance degradation due to shared resource contention on shared memory multicore systems. This article proposes a thread-aware data prefetching mechanism based on low-overhead runtime information to tune prefetching modes and aggressiveness, mitigating the resource contention in the memory system. Our solution has three new components: (1) a self-tuning prefetcher that uses runtime feedback to dynamically adjust data prefetching modes and arguments of each thread, (2) a filtering mechanism that informs the hardware about which prefetching request can cause shared data invalidation and should be discarded, and (3) a limiter thread acceleration mechanism to estimate and accelerate the critical thread which has the longest completion time in the parallel region of execution. On a set of multithreaded parallel benchmarks, our thread-aware data prefetchingmechanism improves the overall performance of 64-core system by 13% over a multimode prefetch baseline system with two-level cache organization and conventional modified, exclusive, shared, and invalid-based directory coherence *** compare our approach with the feedback directed prefetching technique and find that it provides 9% performance improvement on multicore systems, while saving the memory bandwidth consumption.

关键词： Benchmarking

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Flocking of Mobile Robots by Bounded Feedback

Flocking of Mobile Robots by Bounded Feedback

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IEEE International Conference on Automation Science and engineering

作者： Thanh-Trung Han Hung Manh La Bach Hoang Dinh Faculty of Electrical and Electronics Engineering Ton Duc Thang University Advanced Robotics and Automation (ARA) Lab Department of Computer Science and Engineering University of Nevada

ISBN: (纸本)9781509024100

This paper addresses the problem of flocking of mobile robots by bounded feedback. A control problem is formulated with the multiple goals: velocity consensus, collision avoidance, and cohesion maintenance. The flocking protocol is then obtained by means of control design. Particularly, a Lyapunov-like function is presented, the velocity control is designed to achieve coordination and linear speed consensus, and the steering control is designed for consensus on orientation. The convergence is verified via Barbalat's lemma. Simulation results with a group of mobile robots are presented to show the effectiveness of the proposed flocking control.

关键词： FLOCKING Mobile robots Velocity control steering control Bounded Feedback

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Author Correction: Emerging photoluminescence from the dark-exciton phonon replica in monolayer WSe2

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Nature communications 2019年第1期10卷 4649页

作者： Zhipeng Li Tianmeng Wang Chenhao Jin Zhengguang Lu Zhen Lian Yuze Meng Mark Blei Shiyuan Gao Takashi Taniguchi Kenji Watanabe Tianhui Ren Sefaattin Tongay Li Yang Dmitry Smirnov Ting Cao Su-Fei Shi Department of Chemical and Biological Engineering Rensselaer Polytechnic Institute Troy NY 12180 USA. School of Chemistry and Chemical Engineering Shanghai Jiao Tong University 200240 Shanghai China. Kavli Institute at Cornell for Nanoscale Science Ithaca NY 14853 USA. National High Magnetic Field Lab Tallahassee FL 32310 USA. Department of Physics Florida State University Tallahassee FL 32306 USA. College of Physics Nanjing University 210093 Nanjing China. School for Engineering of Matter Transport and Energy Arizona State University Tempe AZ 85287 USA. Department of Physics Washington University in St. Louis St. Louis MO 63136 USA. National Institute for Materials Science 1-1 Namiki Tsukuba 305-0044 Japan. School of Chemistry and Chemical Engineering Shanghai Jiao Tong University 200240 Shanghai China. thren@***. Geballe Laboratory for Advanced Materials Stanford University Stanford CA 94305 USA. tingcao@uw.edu. Department of Materials Science and Engineering University of Washington Seattle WA 98195 USA. tingcao@uw.edu. Department of Chemical and Biological Engineering Rensselaer Polytechnic Institute Troy NY 12180 USA. shis2@rpi.edu. Department of Electrical Computer & Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180 USA. shis2@rpi.edu.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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A novel thin-film transistor using carbon nanotubes as both channel and electrodes

A novel thin-film transistor using carbon nanotubes as both ...

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IEEE Conference on Electron Devices and Solid-State Circuits

作者： Peijian He Yanyan Deng Chun Chen Min Zhang School of Electronic and Computer Engineering Peking University Shenzhen China Shenzhen Thin Film Transistor and Advanced Display Lab Shenzhen China

ISBN: (纸本)9781509018314

A novel structure of carbon nanotube thin-film transistors (CNT-TFTs) with carbon nanotubes as source and drain electrodes has been proposed and realized. Single-walled carbon nanotubes (SWNTs) with 95% semiconducting purity work as the channel layer while semiconducting-metallic-mixed SWNTs with 33% semiconducting purity work as the source and drain electrodes. Transconductance of 5.52×10 -7 S and on/off current ratio of 10 5 have been obtained for the devices. The electrical performance is comparable to that of the CNT-TFTs with Titanium electrodes. By using CNTs as the electrode, the CNT-TFTs are closer to future flexible and transparent applications by one more step. Besides, the fabrication process of the devices is facile and low-cost.

关键词： Decision support systems Conferences Electron devices Solid state circuits

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Cloud-based Smart Home Environment (CoSHE) for Home Healthcare

Cloud-based Smart Home Environment (CoSHE) for Home Healthca...

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IEEE International Conference on Automation Science and engineering

作者： Minh Pham Yehenew Mengistu Ha Manh Do Weihua Sheng Laboratory for Advanced Sensing Computation and Control (ASCC Lab) School of Electrical and Computer Engineering Oklahoma State University Stillwater 74078 USA

ISBN: (纸本)9781509024100

The continued increase of senior population worldwide is causing challenges to existing healthcare and support systems in terms of infrastructure and trained professionals. Recently, smart home environments are being utilized for ubiquitous health monitoring, allowing patients to stay at the comfort of their homes. In this paper we presented a Cloud-Based Smart Home Environment (CoSHE) for home healthcare. Our system collects physiological signals through non-invasive wearable sensors and provides contextual information in terms of daily activities and location in the home. The body fluid intake level is also provided. This enables healthcare professionals to study daily activities, behavioral changes and monitor rehabilitation and recovery processes. A smart home environment is set up with ambient sensors to provide contextual information. The sensor data is processed on a smart home gateway and is sent to a private cloud server. The cloud infrastructure is developed to provide real time data access for remote care givers. Our case study shows that we can successfully integrate contextual information to health data and this comprehensive information can help understand caretaker's health status.

关键词： Cloud computing Smart homes Intelligent sensors Medical services Biomedical monitoring Wearable sensors

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SDN-enabled Backpropagation Correction for OSNR Estimation and Optimization in Under-Monitored EDFA-based Optical Links

SDN-enabled Backpropagation Correction for OSNR Estimation a...

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ECOC 2016;42nd European Conference on Optical Communication

作者： Juliano Siloto Assine Anderson Bravalheri Heitor Carvalho Miquel Garrich Yue Fei Xue Wang Andrea Fumagalli Juliano Oliveira CPqD Foundation Open Networking Advanced Research (OpNeAR) Lab Erik Jonsson School of Engineering and Computer Science The University of Texas at Dallas

SDN is a key technology to address the challenges in quasi-static and over-provisioned under-monitored EDFA-based optical links. We propose and experimentally demonstrate a SDN-enabled backpropagation correction techn...

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A robust finite-time hyperchaotic secure communication scheme based on terminal sliding mode control

A robust finite-time hyperchaotic secure communication schem...

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Iranian Conference on Electrical engineering (ICEE)

作者： Ali Abooee Masoud Moravej Khorasani Mohammad Haeri School of Electrical and Computer Engineering Yazd University Yazd Iran Advanced Control Systems Lab Sharif University of Technology Tehran Iran

ISBN: (纸本)9781467387903

In this paper, a new robust finite-time hyperchaotic secure communication scheme is proposed by combining robust finite-time synchronization of two hyperchaotic systems and hyperchaotic multiplication masking technique. The mentioned synchronization is achieved by introducing new terminal sliding mode controllers. As a main novelty of the introduced scheme, an adjustable total finite time is obtained such that the decrypted message signal will be completely identical with the transmitted message signal for times larger than the discussed finite time. Compared with other secure communication schemes, the suggested method has several advantages including finite-time stability for dynamical system of synchronization errors, high security, easy physical implementation, and robustness against uncertainties. Finally, a numerical simulation is provided to verify the effectiveness of the suggested scheme.

关键词： Synchronization Robustness Cryptography Control systems Uncertainty Transmitters Nonlinear systems

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