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Heterogeneous individual-based epidemic models via matrix equations

IEEE/CAA Journal of Automatica Sinica 2023年 1-12页

作者： Duan, Wei Qiu, Xiaogang Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology Changsha 410073 China

Heterogeneity in human societies plays an important role in epidemic spreading process. Compared to differential equation models, individual-based epidemic models have the advantage of providing a more detailed depiction of realities to capture heterogeneity across a population. However, the higher granularity and resolution of individual-based models come with the cost of increased computational complexities, which result in difficulty in formulating individual-based models usingmathematics. Moreover, a great effort is needed to understand existing individual-based epidemic models that are presented by previous researches. In this paper, we realize the mathematical formulation of heterogeneous individual-based epidemic models by using matrix equations. We employ matrices and vectors to represent individual attributes and behaviors, derive analytical results from the matrix-based representation of individuals, and design algorithms to derivethe computation of individual-based epidemic models. At last, we study the effect of non-pharmaceutical interventions on epidemic outbreaks by using heterogeneous individual-based epidemic models via matrix equations, including contact tracing and workplace closing. IEEE

关键词： Random processes

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Characterizing top user behavior of Sina microblogging in the context of different events

Characterizing top user behavior of Sina microblogging in th...

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2012 International Conference on Computing, Networking and Communications, ICNC'12

作者： Zhang, Yubao Wang, Hui Jiang, Zhihong Li, Pei Research Center of Computational Experiment and Parallel System Technology National University of Defense Technology China College of Information Systems and Management National University of Defense Technology China

ISBN: (纸本)9781467300094

Extremely popular and commonly adopted microblogging service is not only a new form of communication, but also seen as a place for "fueling" viral marketing. Due to essential openness and growing ubiquity, microblogsphere offers ways to manipulate the trending topics, through arranging a number of "messengers" who send messages and make a push on maximizing influence propagation. In this paper, we present an initial study on quantifying and characterizing the events referring to viral campaigns launched in microblogsphere. Our study is based on two independent data sets, one corresponds to an event referring to viral campaign and the other can be considered as not planned. We examine collectively dynamic response of the event referring to viral campaign, in comparison with the event not planed. We find the event referring to viral campaign exhibits different evolving pattern from the other event. Top users with extremely high yield of microblogs in the event referring to viral campaign has been proven to account for the exceptional pattern of dynamic response. We further investigate the individual dynamic response and calculate the centrality of top users for quantitative characterization of these users. This work aims to suggest insights into the evolving of events referring to the viral campaign launched in microblogsphere and the behavior pattern of top users in these events who may dominate the event evolving. © 2012 IEEE.

关键词： Dynamic response

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From parallel Plants to Smart Plants:Intelligent Control and Management for Plant Growth

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IEEE/CAA Journal of Automatica Sinica 2017年第2期4卷 161-166页

作者： Mengzhen Kang Fei-Yue Wang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences (SKL-MCCSCASIA) Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology IEEE State Key Laboratory of Management and Control for Complex Systems (SKL-MCCS) Institute of AutomationChinese Academy of Sciences (CASIA) School of Computer and Control Engineering University of Chinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology

Precision management of agricultural systems, aiming at optimizing profitability, productivity and sustainability, comprises a set of technologies including sensors, information systems, and informed management, etc. Expert systems are expected to aid farmers in plant management or environment control, but they are mostly based on the offline and static information, deviated from the actual situation. parallel management, achieved by virtual/artificial agricultural system, computational experiment and parallel execution, provides a generic framework of solution for online decision support. In this paper, we present the three steps toward the parallel management of plant: growth description U+0028 the crop model U+0029, prediction, and prescription. This approach can update the expert system by adding learning ability and the adaption of knowledge database according to the descriptive and predictive model. The possibilities of passing the knowledge of experienced farmers to younger generation, as well as the application to the parallel breeding of plant through such system, are discussed. © 2017 Chinese Association of Automation.

关键词： Agriculture Artificial intelligence Decision support systems Expert systems Sustainable development

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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Chao Gao Xin Zhang Liang Zheng Hui Wang Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology China

Social multimedia content had an unprecedented increasing trend in recent years, and receiving a number of research attentions. Images, an exceedingly expressive form of social multimedia, can be widely seen in news report for social emergency. Among the vast number of images for social emergency are many repurposed images, that is, variants not interpreted as what the original images express. Such repurposed images appear in many online pages and may mislead the public. This make it being an interesting and challenging task to identify whether an image is repurposed. We propose a novel framework, called SOFC, to identify the repurposed images. A SIFT-based identical parts finding algorithm is used to find and align all potential identical blocks in the repurposed images and the original images. We then compute the similarity of the potential identical blocks by implementing an object-based likelihood measuring algorithm, to determine whether these blocks are identical in the two images. Finally, the effectiveness of the proposed identification method is validated by experiments on a image set of real social emergency.

关键词： Bismuth Image resolution Object recognition

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Discovering Significant Persons, Locations and Organizations through Named Entity Ranking

Discovering Significant Persons, Locations and Organizations...

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International Conference on Multimedia Information Networking and Security (MINES)

作者： Xing Su Songhai Mo Hui Wang Xin Zhang The Research Center of Computational Experiments and Parallel System Technology National University of Defense Technology ChangSha P.R. China

In this paper, we propose a novel method based on the combination of Named Entity Recognition and Entity Rank algorithm for detecting key entities with significant influence and importance from huge sentiment data collected from Internet. Firstly, we extract entities from the target news websites and forums using a rule-based and CRF combined method. Secondly, we use the Entity Rank algorithm to calculate the hotness of entities extracted from the news and forums data. Finally, we validate the rationality of our algorithm by comparing our hot entities and current affairs. We believe this work will shed new lights on the online public sentiment supervision.

关键词： Organizations Hidden Markov models Data mining Tagging Couplings Educational institutions Internet

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A geographic analysis of P2P-TV viewership

A geographic analysis of P2P-TV viewership

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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Zhihong Jiang Hui Wang Yubao Zhang Pei Li Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology China

A promising P2P application, P2P-TV, has attracted hundreds of thousands of Chinese viewers. These viewers who are located in different regions represent groups with distinct cultures. However, little existing research has provided sufficient insights into the societal impact of P2P-TV systems, from the viewpoint of geographic distribution of viewers. In this paper, we analyze geographic distribution of viewers of three most popular P2P-TV systems simultaneously, PPLive, PPStream and UUSee. With more than 20 GB worth of log data from three different P2P-TV systems, we have completed a thorough investigation of geographic distribution of viewers. We also seek to explore the potential correlation between viewer population density and economic development level and find that there is indeed a highly negative correlation between them.

关键词： TV Sun Topology Cities and towns Europe Visualization

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Evaluation of chemical emergency operation considering behavioral effect

Evaluation of chemical emergency operation considering behav...

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2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011

作者： Wei, Wei Wen, Ding Cheng, Changjian Beijing 100190 China Academy of Equipment Command and Technology Beijing 102249 China Changsha Hunan China Research Center for Military Computational Experiments and Parallel Systems Technology NUDT 410073 China CASIA Beijing 100190 China

ISBN: (纸本)9781457705731

The effect evaluation of chemical emergency response plans before implementation is an important research topic. Most researchers focus on the evaluation of chemical objective process and ignore the impact of human behaviors on the emergency response process. In order to study the uncertainties of human behaviors, a dynamic evaluation method of emergency response plans based on ACP (Artificial system, computational experiments, parallel Execution) is presented in this paper. A model indicating the logic interactive relationship between chemical equipments and human is constructed by using hierarchical Petri nets. The emergency response reliability of people with different attributes is obtained by conducting computational experiments. And the significant attributes of reliability is analyzed through the orthogonal experimental design. The method provides feasibility for the comprehensive evaluation of chemical emergency response plans. © 2011 IEEE.

关键词： Petri nets

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Generative Adversarial Networks:Introduction and Outlook

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 588-598页

作者： Kunfeng Wang Chao Gou Yanjie Duan Yilun Lin Xinhu Zheng Fei-Yue Wang IEEE State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences University of Chinese Academy of Sciences Department of Computer Science and Engineering University of Minnesota Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology

Recently, generative adversarial networks(GANs)have become a research focus of artificial intelligence. Inspired by two-player zero-sum game, GANs comprise a generator and a discriminator, both trained under the adversarial learning *** goal of GANs is to estimate the potential distribution of real data samples and generate new samples from that *** their initiation, GANs have been widely studied due to their enormous prospect for applications, including image and vision computing, speech and language processing, etc. In this review paper, we summarize the state of the art of GANs and look into the future. Firstly, we survey GANs' proposal background,theoretic and implementation models, and application ***, we discuss GANs' advantages and disadvantages, and their development trends. In particular, we investigate the relation between GANs and parallel intelligence,with the conclusion that GANs have a great potential in parallel systems research in terms of virtual-real interaction and integration. Clearly, GANs can provide substantial algorithmic support for parallel intelligence.

关键词： ACP approach adversarial learning generative adversarial networks(GANs) generative models parallel intelligence zero-sum game

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Training and Testing Object Detectors With Virtual Images

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IEEE/CAA Journal of Automatica Sinica 2018年第2期5卷 539-546页

作者： Yonglin Tian Xuan Li Kunfeng Wang Fei-Yue Wang Department of Automation University of Science and Technology of China Hefei 230027 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijirtg 100190 China School of Automation Beijing Institute of Technology Beijing 100081. China Qingdao Academy of Intelligent Industries Qingdao 266000 China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha 410073 China IEEE

In the area of computer vision, deep learning has produced a variety of state-of-the-art models that rely on massive labeled data. However, collecting and annotating images from the real world is too demanding in terms of labor and money investments, and is usually inflexible to build datasets with specific characteristics, such as small area of objects and high occlusion level. Under the framework of parallel Vision, this paper presents a purposeful way to design artificial scenes and automatically generate virtual images with precise annotations.A virtual dataset named parallel Eye is built, which can be used for several computer vision tasks. Then, by training the DPM(Deformable parts model) and Faster R-CNN detectors, we prove that the performance of models can be significantly improved by combining parallel Eye with publicly available real-world datasets during the training phase. In addition, we investigate the potential of testing the trained models from a specific aspect using intentionally designed virtual datasets, in order to discover the flaws of trained models. From the experimental results, we conclude that our virtual dataset is viable to train and test the object detectors.

关键词： Index Terms--Deep learning object detection parallel vision virtual dataset

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A Blockchain-based Framework for Central Bank Digital Currency

A Blockchain-based Framework for Central Bank Digital Curren...

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2019 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2019

作者： Han, Xuan Yuan, Yong Wang, Fei-Yue State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Research Center of Military Computational Experiments and Parallel System National University of Defense Technology Changsha China

ISBN: (纸本)9781728128535

Cryptocurrency and blockchain technologies have developed in parallel in recent years, with technological breakthroughs in currency issuance, payment methods, and currency storage. However, the existing cryptocurrencies cannot replace fiat money. There is a huge gap between decentralized cryptocurrency and central bank digital currency, namely CBDC, in terms of monetary governance and circulation. In this paper, we propose the function and security requirements of CBDC, through a comprehensive analysis of the existing typical cryptocurrency and the prototype of the CBDC scheme. On this basis, we present a blockchain-based framework for CBDC with three layers, including supervisory layer, network layer and user layer, and describe the key business processes of the CBDC's entire lifecycle of issuance-circulation-withdrawal in detail. Finally, we take cross-border payment as an example to explain the transaction process of CBDC. We aim to provide theoretical guidance for CBDC design. © 2019 IEEE.

关键词： Blockchain

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