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arXiv 2018年

作者： Liu, Erjian Yan, Xiao-Yong Key Lab. of Integrated Transportation Big Data Application Technology for Transportation Industry Beijing Jiaotong University Beijing100044 China Institute of Transportation System Science and Engineering Beijing Jiaotong University Beijing100044 China Big Data Research Center University of Electronic Science and Technology of China Chengdu611731 China

Predicting human mobility patterns has many practical applications in urban planning, traffic engineering, infectious disease epidemiology, emergency management and location-based services. Developing a universal model capable of accurately predicting the mobility fluxes between locations is a fundamental and challenging problem in regional economics and transportation science. Here, we propose a new parameter-free model named opportunity priority selection model as an alternative in human mobility prediction. The basic assumption of the model is that an individual will select destination locations that present higher opportunity benefits than the location opportunities of the origin and the intervening opportunities between the origin and destination. We use real mobility data collected from a number of cities and countries to demonstrate the predictive ability of this simple model. The results show that the new model offers universal predictions of intracity and intercity mobility patterns that are consistent with real observations, thus suggesting that the proposed model better captures the mechanism underlying human mobility than previous models. Copyright © 2018, The Authors. All rights reserved.

关键词： Forecasting

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A vision chip architecture for image recognition based on improved convolutional neural network

A vision chip architecture for image recognition based on im...

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IEEE Conference on Electron Devices and Solid-State Circuits

作者： Jijia Guo Xin'an Wang Jipan Huang Yue Tang Boyang Song Jipeng Liu Haifang Lu Zhiqiang Yang The Key Laboratory of Integrated Micro-system Science and Engineering Applications Peking University Shenzhen Graduate School Shenzhen China

ISBN: (纸本)9781509018314

In this paper, we propose a novel architecture of vision chip based on CNN (convolutional neural network) and improve the traditional LeNet-S algorithm. From the results of the experiment and performance, the accuracy of the proposed chip with LeNet-S increased to 97.29%. According to the characteristic of deep pipeline among independent layers of CNN, a 3-stage pipeline CCE (Convolutional Computing Element) is designed and also introduce the logical data flow in CCE array in detail. Finally the data compression and decompression circuit are added to the vision system to reduce the bandwidth of off-chip memory which is the highest cost in data transmission. The storage reduction is nearly to 30%, depending on the image processed.

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

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5G entering into a new era [Guest Editorial]

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China Communications 2017年第12期14卷 iv-vi页

作者： Feifei Gao Changle Li Jun Fang Kaizhi Huang Zhi Quan Chengwen Xing Jianhua Zhang Zhongshan Zhang Liqiang Zhao Yulong Zou Department of Automation Tsinghua University Beijing China State Key Laboratory of Integrated Services Networks Xidian University University of Eletronic Science and Technology of China National Digital Switching System Engineering & Technological Research Center Zhengzhou China College of Information Engineering Shenzhen University School of Information and Electronics Beijing Institute of Technology Beijing University of Posts and Telecommunication School of Computer and Communication Engineering in the University of Science and Technology Beijing State Key Lab. of Integrated Service Networks Xidian University Nanjing University of Posts and Telecommunications (NUPT) Nanjing China

The ever increasing wireless data services, such as imaging, video, audio, multimedia, etc., have demands for the very high speed wireless communications and network, which are unfortunately a bottleneck when combining with the wireline core network. Users' are now expecting high quality of experience with low-cost devices, ubiquitous connectivity, energy efficiency, high reliability, or even ultra-low latency if a vehicle terminal is applied.

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Correction to: 2021 Taxonomic update of phylum Negarnaviricota (Riboviria: Orthornavirae), including the large orders Bunyavirales and Mononegavirales

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Archives of virology 2021年第12期166卷 3567-3579页

作者： Jens H Kuhn Scott Adkins Bernard R Agwanda Rim Al Kubrusli Sergey V Alkhovsky Gaya K Amarasinghe Tatjana Avšič-Županc María A Ayllón Justin Bahl Anne Balkema-Buschmann Matthew J Ballinger Christopher F Basler Sina Bavari Martin Beer Nicolas Bejerman Andrew J Bennett Dennis A Bente Éric Bergeron Brian H Bird Carol D Blair Kim R Blasdell Dag-Ragnar Blystad Jamie Bojko Wayne B Borth Steven Bradfute Rachel Breyta Thomas Briese Paul A Brown Judith K Brown Ursula J Buchholz Michael J Buchmeier Alexander Bukreyev Felicity Burt Carmen Büttner Charles H Calisher Mengji Cao Inmaculada Casas Kartik Chandran Rémi N Charrel Qi Cheng Yuya Chiaki Marco Chiapello Il-Ryong Choi Marina Ciuffo J Christopher S Clegg Ian Crozier Elena Dal Bó Juan Carlos de la Torre Xavier de Lamballerie Rik L de Swart Humberto Debat Nolwenn M Dheilly Emiliano Di Cicco Nicholas Di Paola Francesco Di Serio Ralf G Dietzgen Michele Digiaro Olga Dolnik Michael A Drebot J Felix Drexler William G Dundon W Paul Duprex Ralf Dürrwald John M Dye Andrew J Easton Hideki Ebihara Toufic Elbeaino Koray Ergünay Hugh W Ferguson Anthony R Fooks Marco Forgia Pierre B H Formenty Jana Fránová Juliana Freitas-Astúa Jingjing Fu Stephanie Fürl Selma Gago-Zachert George Fú Gāo María Laura García Adolfo García-Sastre Aura R Garrison Thomas Gaskin Jean-Paul J Gonzalez Anthony Griffiths Tony L Goldberg Martin H Groschup Stephan Günther Roy A Hall John Hammond Tong Han Jussi Hepojoki Roger Hewson Jiang Hong Ni Hong Seiji Hongo Masayuki Horie John S Hu Tao Hu Holly R Hughes Florian Hüttner Timothy H Hyndman M Ilyas Risto Jalkanen Dàohóng Jiāng Gilda B Jonson Sandra Junglen Fujio Kadono Karia H Kaukinen Michael Kawate Boris Klempa Jonas Klingström Gary Kobinger Igor Koloniuk Hideki Kondō Eugene V Koonin Mart Krupovic Kenji Kubota Gael Kurath Lies Laenen Amy J Lambert Stanley L Langevin Benhur Lee Elliot J Lefkowitz Eric M Leroy Shaorong Li Longhui Li Jiànróng Lǐ Huazhen Liu Igor S Lukashevich Piet Maes William Marciel de Souza Marco Marklewitz Sergio H Marshall Shin-Yi L Marzano Se Integrated Research Facility at Fort Detrick National Institute of Allergy and Infectious Diseases National Institutes of Health Frederick MD USA. kuhnjens@mail.nih.gov. United States Department of Agriculture Agricultural Research Service US Horticultural Research Laboratory Fort Pierce FL USA. Zoology Department National Museums of Kenya Nairobi Kenya. Jomo Kenyatta University of Agriculture & Technology Nairobi Kenya. Division Phytomedicine Faculty of Life Sciences Humboldt-Universität zu Berlin Berlin Germany. D.I. Ivanovsky Institute of Virology of N.F. Gamaleya National Center on Epidemiology and Microbiology of Ministry of Health of Russian Federation Moscow Russia. Department of Pathology and Immunology Washington University School of Medicine St. Louis MO USA. Faculty of Medicine University of Ljubljana Ljubljana Slovenia. Centro de Biotecnología y Genómica de Plantas Universidad Politécnica de Madrid-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria Campus de Montegancedo Pozuelo de Alarcón Madrid Spain. Departamento de Biotecnología-Biología Vegetal Escuela Técnica Superior de Ingeniería Agronómica Alimentaria y de Biosistemas Universidad Politécnica de Madrid Madrid Spain. Center for Ecology of Infectious Diseases Department of Infectious Diseases Department of Epidemiology and Biostatistics Insitute of Bioinformatics University of Georgia Athens GA USA. Institute of Novel and Emerging Infectious Diseases Friedrich-Loeffler-Institut Federal Research Institute for Animal Health Greifswald-Insel Riems Germany. Department of Biological Sciences Mississippi State University Mississippi State MS USA. Center for Microbial Pathogenesis Institute for Biomedical Sciences Georgia State University Atlanta GA USA. Edge BioInnovation Consulting and Mgt Frederick MD USA. Institute of Diagnostic Virology Friedrich-Loeffler-Institut Greifswald-Insel Riems Germany. UFyMA INTA-CONICET Cordoba Argentina. Genomics and Bioinformatics D

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A multi-objective optimal water strategy using time series analysis and improved genetic algorithm

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Journal of Information and Computational science 2015年第6期12卷 2229-2239页

作者： Lai, Changqing Xu, Zhengchao Jiang, Yuning School of Economics and Management Tsinghua University Beijing China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan China Key Lab. of Integrated Microsystem Science & Engineering Applications Shenzhen Graduate School Peking University Beijing China

Time series analysis and genetic algorithm have a good application in many fields. In present paper, we utilized graph theory, and established a multi-objective optimal water distribution model according to current situation in China. Then, we utilized time series analysis to predict water supply and demand situation, and put forward an improved genetic algorithm solution for optimal water resources strategy. Furthermore, sensitivity and effectivity of the improved genetic algorithm is fit to resolve the model. This method can be extended to other various resources-distribution fields. Copyright © 2015 Binary Information Press.

关键词： Graph theory

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Reconfigurable operators: New configuration logic blocks for novel FPGA

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Journal of Information and Computational science 2014年第12期11卷 4153-4166页

作者： Yong, Shanshan Wang, Xin'an Xie, Zheng Cao, Ying Key Lab. of Integrated Micro-System Science and Engineering Applications Peking University Shenzhen Graduate School Shenzhen China

For current FPGA architectures, the fine-grain programmable blocks are the most flexible ones. However, they bring in massive configuration bits-stream and much performance loss. In this paper, we propose new configuration logic blocks for the latest FPGA, a collection of Reconfigurable Operators (ReOps). A ReOp is a basic block which can process multiple bits data with a specific function set. Considering the flexibility and regularity, we divide ReOps into seven groups, which are arithmetic ReOps, shift ReOps, bitwise logic ReOps, Multiplier ReOps, Register ReOps, Multiplexer ReOps and Memory ReOps. The function set of ReOps is roundness for the arbitrary ASIC (Application Specific integrated Circuit) design. To build the development environment for this novel FPGA, we employ a new hardware design language and hardware compiler. To compare the performance between our work and other current FPGAs, we use configuration time and circuit delay as our evaluation measurements. And our experimental results show that our architecture achieves a great reduction on configuration bits-stream and comparable delay compared with Virtex5 FPGA. © 2014 Binary Information Press

关键词： Field programmable gate arrays (FPGA)

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A high-level description method of digital IC based on dataow driven operators

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Journal of Computational Information systems 2014年第15期10卷 6347-6361页

作者： Yong, Shanshan Wang, Xin'an Xie, Zheng Guo, Zhaoyang Key Lab of Integrated Micro-system Science and Engineering Applications Peking University Shenzhen Graduate School Shenzhen China

In this paper we propose a high-level description method of digital IC based on a new collection of circuit components, dataow driven operators (DFDOs), to short time-to-market with fewer costs. The complex period precision control design in synchronous digital IC, which requires most of design and verification effort, is replaced by the design of dataow that exists in original algorithm and circuit system architecture according to this method which is easily and effciently implementable. The synchronization problem is solved through the synchronization logic circuit, which implements handshake protocol instead of global synchronous clock, inside of each DFDO. DFDO is classified as four kinds, which are soundness to support all digital IC design as a new collection of circuit components like standard cells, and they are computation DFDO, datapath DFDO, controller DFDO and memory DFDO. A high-level abstract language APU C which combines ANSI C and verilog to do the dataow design is also proposed which is subject to higher design effciency with less code amount and verification effort. To fully quantify this method and the performance of circuits designed by this method, a 512-point radix-2 fixed-point FFT is presented. The result shows that our work has a comparable performance on area, speed and power. © 2014 Binary Information Press

关键词： Timing circuits

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A novel reuse technology of extended finite state machine at the transaction level based on UVM

A novel reuse technology of extended finite state machine at...

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2014 3rd International Conference on Electrical and Electronics engineering(ICEEE 2014)

作者： Zheng Xie Xin'an Wang Zhibin Lian Shanshan Yong Key Lab of Integrated Micro System Science Engineering and Application Shenzhen Graduate School of Peking University

The reuse of verification code and methodology is a major factor providing significant acceleration of the overall verification efficiency. The verification system reusability is supported by a flexible user interface, environment structure, testbench design, and verification methodology. In this contribution, we proposed a novel reuse technology of extended finite state machine at the transaction level to simultaneously implement scenario generator, scenario coverage collector, and reference model. Associated with the Application Program Interface(API) function library based on Universal Verification Methodology(UVM), an extended finite state machine was recorded by the state machine component in Verification Expert system(VES) toolbox to generate specific code automatically. The APIs are encapsulated in the UVM library as a part of reuse resource that can reduce the amount of code greatly, provide clear architecture for functional debugging, and produce test cases automatically.

关键词： verification reuse extended finite state machine UVM

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Development of a Mind-controlled Android Racing Game using a Brain Computer Interface(BCI)

Development of a Mind-controlled Android Racing Game using a...

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2014 4th IEEE International Conference on Information science and Technology

作者： Guobin Wu Zheng Xie Xin'an Wang Key Lab of Integrated Micro System Science Engineering and Application Shenzhen Graduate School of Peking University

Brain computer interface(BCI) is to provide a direct communication or control channel between human's brain and external devices. Recently, with the development of BCI, several research institutions and organizations have developed some games that are interacted with BCI to enrich user's experience. However, most of these games are only used in computers and just focus on the realization of direction strategies. To meet the potential increasing Android smartphone users' needs and explore interacting game processes with people's mental states, this paper designs an Android 3D racing game controlled by mental states like attention and meditation. In this application, with the feedbacks of a Bluetooth BCI called Mindset, the racing car's speed and part of game scenarios can be in the charge of user's mental states.

关键词： BCI Development of a Mind-controlled Android Racing Game using a Brain Computer Interface

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Development of a mind-controlled Android racing game using a brain computer interface (BCI)

Development of a mind-controlled Android racing game using a...

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International Conference on Information science and Technology (ICIST)

作者： Guobin Wu Zheng Xie Xin'an Wang Key Lab of Integrated Micro System Science Engineering and Application Shenzhen Graduate School of Peking University Shenzhen China

Brain computer interface (BCI) is to provide a direct communication or control channel between human's brain and external devices. Recently, with the development of BCI, several research institutions and organizations have developed some games that are interacted with BCI to enrich user's experience. However, most of these games are only used in computers and just focus on the realization of direction strategies. To meet the potential increasing Android smartphone users' needs and explore interacting game processes with people's mental states, this paper designs an Android 3D racing game controlled by mental states like attention and meditation. In this application, with the feedbacks of a Bluetooth BCI called Mindset, the racing car's speed and part of game scenarios can be in the charge of user's mental states.

关键词： Games Bluetooth Androids Humanoid robots Smart phones Message systems Payloads

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