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2011 IEEE 9th International Conference on Web services, ICWS 2011

作者： Wang, Pengwei Ding, Zhijun Jiang, Changjun Zhou, Mengchu Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States

ISBN: (纸本)9780769544632

The information technology has been recognized as one of the most important means to improve health care and curb its ever-increasing cost. However, existing efforts mainly focus on informatization of hospitals or medical institutions within organizations, and few are directly oriented to individuals. The strong demand for various health services from customers calls for the creation of powerful individual-oriented personalized health care service systems. Web service composition (WSC) and related technologies can greatly help one build such systems. This paper aims to present a newly developed platform called a Public-oriented Health care Information service Platform (PHISP) and several novel WSC techniques that are used to build it. Among them include WSC techniques that can well support branch and parallel structures. © 2011 IEEE.

关键词： Web services

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Design issues in ZigBee-based sensor network for healthcare applications

Design issues in ZigBee-based sensor network for healthcare ...

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2012 9th IEEE International Conference on Networking, Sensing and Control, ICNSC 2012

作者： Choi, Jin Soo Zhou, MengChu Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China

ISBN: (纸本)9781467303880

IEEE 802.15.4/ZigBee sensor networks support small power consumption and node expansion compared to other network standards for WSN. Body sensor networks (BSN) require a number of sensors for sensing medical information from human body, and low power consumption to monitor a patient's status for a long time. However, ZigBee has limited bandwidth and is thus hard to support real time data transmission because of the adoption of CSMA-CA as its medium access control (MAC) protocol. In this paper, we will analyze the reasonable number of nodes, size of payload and packet interval for best QoS for such network. It is found that an appropriate MAC parameters setting can improve the QoS compared to the default setting in IEEE 802.15.4 specification. The effective data rate, average end-to-end delay and packet delivery ratio are found via simulation for various network settings. The results are useful for the construction of ZigBee networks for patient monitoring and care. © 2012 IEEE.

关键词： Medium access control

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BCE-PPDS: Blockchain-based cloud–edge collaborative privacy-preserving data sharing scheme for IoT

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Future Generation Computer systems 2026年 174卷

作者： Guijuan Wang Qi Liu Zhongyuan Yu Hongliang Zhang Anming Dong Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan Shandong 250353 China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan Shandong 250353 China China University of Petroleum Qingdao Shandong 266000 China

Internet of Things (IoT) devices generate large amounts of data every day that can be combined with intelligent platforms for predictive analytics and scientific research. However, concerns about privacy and security hinder the willingness of individuals to share data. Blockchain emerged as a promising infrastructure for facilitating secure data sharing due to its decentralized, immutability, and auditable benefits. In this paper, we propose a blockchain-based cloud–edge collaborative privacy protection data sharing scheme (BCE-PPDS), which is decentralized and enables data requesters (DRs) to search data resources using smart contracts to efficiently obtain target data. To protect the identity privacy of data owners (DOs), we propose a novel certificateless linkable ring signature algorithm with efficient performance. This algorithm is not only suitable for deployment on resource-limited IoT devices, so that DOs can realize anonymous identity authentication, but also can aggregate the generated ring signatures for batch verification, so as to improve the efficiency of signature verification. In addition, we designed a key distribution algorithm using the Asmuth–Bloom secret sharing scheme to ensure the security of the key. Under the random oracle model, BCE-PPDS is provably secure. The experimental results verify that BCE-PPDS is efficient and practical.

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Dynamic target tracking based on corner enhancement with Markov decision process

Dynamic target tracking based on corner enhancement with Mar...

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作者： Zuo, Guoyu Du, Tingting Ma, Lei Faculty of Information Technology Beijing University of Technology Beijing China Beijing Key Laboratory of Computing Intelligence and Intelligent System Beijing China

The tracking–learning–detection (TLD) algorithm applied in the home environment can effectively improve the tracking robustness. However, it has the problems of single target tracking and poor selection of feature points. This study proposed a dynamic target tracking method based on corner enhancement with Markov decision process (MDP) model. The MDP target tracking method is adopted to change a multi-target tracking problem into a strategy problem based on MDP model, in which one MDP model represents the life cycle of a target, and multiple targets are represented by multiple MDP models. In the tracking process, the strong corners generated by the Shi-Tomasi corner method are used to replace the feature points generated by the traditional TLD algorithm at intermediate intervals, which makes the target feature points more stable during the tracking process. The similarity function learning for data association is equivalent to the learning of the MDP strategy, in which the reinforcement learning method is used and has double advantages of both online and offline learning. The tracking experiments with different data sets are performed, and the results show that dynamic target tracking algorithm based on the corner enhancement with MDP has both good tracking performance and good anti-interference capability. © 2018 Institution of Engineering and technology. All rights reserved.

关键词： Markov processes

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Mechanistic investigations of corrosion and localized corrosion of X80 steel in seawater comprising sulfate-reducing bacteria under continuous carbon starvation

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Corrosion Communications 2022年第4期8卷 70-80页

作者： Hongwei Liu Cuiying Chen Muhammad Asif Tong Zhao Bing Lei Guozhe Meng Hongfang Liu School of Chemical Engineering and Technology Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Sun Yat-sen University School of Materials Science and Engineering Wuhan Institute of Technology Beijing Key Laboratory of Pipeline Critical Technology and Equipment for Deepwater Oil & Gas Development Beijing Institute of Petrochemical Technology Key Laboratory for Large-Format Battery Materials and System Ministry of Education Hubei Key Laboratory of Materials Chemistry and Service Failure School of Chemistry and Chemical Engineering Huazhong University of Science and Technology

Sulfate-reducing bacteria（SRB） corrosion is one of the main reasons leading to the service failure of engineering materials in the marine environment. An understanding of SRB corrosion especially under continuous organic carbon starvation is required. In this work, SRB corrosion of X80 pipeline steel under continuous organic carbon starvation was studied using mass loss, electrochemical measurements, and surface analysis. The effects of initial SRB concentrations on steel corrosion were also studied and discussed. The results indicated that more than 99% population of SRB die after 21 d of testing in various conditions, but there are still amounts of SRB survivors. SRB survivors with continued organic carbon starvation have a better adaptive ability and accelerated steel corrosion. Both the uniform and localized corrosion rates are also proportional to the initial SRB concentration as well as SRB survivors. The localized corrosion rate and density of corrosion pits of specimen corresponding to an initial SRB count of 10～8 cells/m L reach bigger values of（0.693 ± 0.114） mm/y and（1.94 ± 0.39） ×10～4 pits/cm2, respectively, which are induced by the combination of the sessile and planktonic SRB.

关键词： Microbial corrosion Sulfate-reducing bacteria X80 steel Continued carbon starvation

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Model predictive control for HVAC systems - A review

Model predictive control for HVAC systems - A review

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

作者： Kwadzogah, Roger Zhou, Mengchu Li, Sisi 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

ISBN: (纸本)9781479915156

The world faces an energy problem. Oil supply is gradually running out. Its use is polluting the planet with greenhouse gas. Most alternative energy sources also pose some environmental problems. Hence the efficient use of energy must be an integral part of any solution to them. Whenever possible, one must use advanced control engines and technologies to achieve the highest energy efficiency. In Heating Ventilation and Air Conditioning (HVAC) industry, much research has identified a number of energy-saving control methods. Derived from optimal control theory, Model Predictive Control (MPC) is one of them. This paper presents a comprehensive review of its applications to HVAC systems. © 2013 IEEE.

关键词： Model predictive control

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An Inverse Power Generation Mechanism Based Fruit Fly Algorithm for Function Optimization

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Journal of systems Science & Complexity 2019年第2期32卷 634-656页

作者： LIU Ao DENG Xudong REN Liang LIU Ying LIU Bo School of Management Wuhan University of Science and Technology Center for Service Science and Engineering Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Economics and Management Beihang University Academy of Mathematics and Systems Science Chinese Academy of Sciences

As a novel population-based optimization algorithm, fruit fly optimization(FFO) algorithm is inspired by the foraging behavior of fruit flies and possesses the advantages of simple search operations and easy implementation. Just like most population-based evolutionary algorithms, the basic FFO also suffers from being trapped in local optima for function optimization due to premature *** this paper, an improved FFO, named IPGS-FFO, is proposed in which two novel strategies are incorporated into the conventional FFO. Specifically, a smell sensitivity parameter together with an inverse power generation mechanism(IPGS) is introduced to enhance local exploitation. Moreover,a dynamic shrinking search radius strategy is incorporated so as to enhance the global exploration over search space by adaptively adjusting the searching area in the problem domain. The statistical performance of FFO, the proposed IPGS-FFO, three state-of-the-art FFO variants, and six metaheuristics are tested on twenty-six well-known unimodal and multimodal benchmark functions with dimension 30, respectively. Experimental results and comparisons show that the proposed IPGS-FFO achieves better performance than three FFO variants and competitive performance against six other meta-heuristics in terms of the solution accuracy and convergence rate.

关键词： Evolutionary algorithms fruit fly optimization function optimization meta-heuristics

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P-GAS: Parallelizing a cycle-accurate event-driven many-core processor simulator using parallel discrete event simulation 10

P-GAS: Parallelizing a cycle-accurate event-driven many-core...

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24th Annual Workshop on Principles of Advanced and Distributed Simulation, PADS 2010

作者： Lv, Huiwei Cheng, Yuan Bai, Lu Chen, Mingyu Fan, Dongrui Sun, Ninghui Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences China Graduate School Chinese Academy of Sciences China

ISBN: (纸本)9781424472918

Multi-core processors are commonly available now, but most traditional computer architectural simulators still use single-thread execution. In this paper we use parallel discrete event simulation (PDES) to speedup a cycle-accurate event-driven many-core processor simulator. Evaluation against the sequential version shows that the parallelized one achieves an average speedup of 10.9× (up to 13.6×) running SPLASH-2 kernel on a 16-core host machine, with cycle counter differences of less than 0.1%. Moreover, super-linear speedups are achieved between running 1 thread and 8 threads due to reduced overhead of insert-event-to-queue time and increased cache size in parallel processing. We conclude that PDES could be an attractive option for achieving fast cycle-accurate many-core processor simulations. © 2010 IEEE.

关键词： Simulators

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VMScan: an out-of-VM malware scanner

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The Journal of China Universities of Posts and Telecommunications 2020年第4期27卷 59-68页

作者： Lin Jie Liu Chuanyi Fang Binxing School of Computer Science and Technology Harbin Institute of TechnologyShenzhenShenzhen 518055China Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and TelecommunicationsBeijing 100876China Department of Information and Electronic Engineering Chinese Academy of EngineeringBeijing 100088China

The harm caused by malware in cloud computing environment is more and more serious. Traditional anti-virus software is in danger of being attacked when it is deployed in virtual machine on a large scale, and it tends not to be accepted by tenants in terms of performance. In this paper, a method of scanning malicious programs outside the virtual machine is proposed, and the prototype is implemented. This method transforms the memory of the virtual machine to the host machine so that the latter can access it. The user space and kernel space of virtual machine memory are analyzed via semantics, and suspicious processes are scanned by signature database. Experimental results show that malicious programs can be effectively scanned outside the virtual machine, and the performance impact on the virtual machine is low, meeting the needs of tenants.

关键词： security virtualization cloud malware virus detection signature scanning

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Beyond green: Evolution to adaptability and recyclability

Beyond green: Evolution to adaptability and recyclability

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2011 IEEE/ACM International Conference on Green computing and Communications, GreenCom 2011

作者： Sun, Yuzhong Song, Ying Key Laboratory of Computer System and Architecture Chinese Academy of Sciences Beijing China Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769544663

In current social computing system, not only hardware but also software experiences a directly discarded mode. Such directly discarded mode may result in huge waste. The major challenge in green computing is the recyclability of the computing system. In order to address this challenge in the software field, this paper proposes a design idea of green software embodying the adaptability and recyclability. The adaptable and recyclable strategy may consist of two phases. The first one is compressing the increasingly deeper software stack;another one is keeping the functionality recycling and code reuse. The adaptability and recyclability mean automatically decomposing the complex software into several parts which are ease to be reused and automatically selecting the feasible parts for the on-writing software. And we also explore the system software design path to adaptability and recyclability in our previous work as well as in the future. © 2011 IEEE.

关键词： Software design

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