Modeling analysis of Intelligent Manufacturing System based on SDN

Bai, Yun

doi:10.1002/cpe.4270

Cited by 2 publications

(1 citation statement)

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“…In order to effectively solve this problem, Bayes belief model is applied by Xing et al to generate the initial dispensation plan, and learnable ant colony optimization is proposed to solve task scheduling subproblem. Bai analyzes the characteristics and meaning of intelligent manufacturing systems, which leads to problems facing the Intelligent Manufacturing System and then dispersing the benefits of SDN. Two models of the scheme are verifiable by Tang and Cai, supporting location query on homomorphic encrypted ciphertext with searching index and trapdoor.…”

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confidence: 99%

Special issue on selected technologies and applications in smart city computing

Yen

Sugumaran

2017

Concurrency and Computation

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Special issue on selected technologies and applications in smart city computingDeveloping smart city is the key to the next generation urbanization process for improving the efficiency, reliability, and security of a traditional city. The concept of smart city includes various aspects such as environmental sustainability, social sustainability, regional competitiveness, natural resources management, cybersecurity, and quality of life improvement. With the massive deployment of networked smart devices/sensors, unprecedentedly large amount of sensory data can be collected and processed by advanced computing paradigms which are the enabling techniques for smart city. For example, given historical environmental, population and economic information, salient modeling, and analytics are needed to simulate the impact of potential city planning strategies, which will be critical for intelligent decision making. Analytics are also indispensable for discovering the underlying structure from retrieved data in order to design the optimal policies for real-time automatic control in the cyberphysical smart city system. Furthermore, uncertainties and security concerns in the data collected from heterogeneous resources aggravate the problem, which makes smart city planning, operation, monitoring, and control highly challenging.The submitted manuscripts were reviewed by experts from both academia and industry. After two rounds of reviewing, the highest quality manuscripts were accepted for this special issue. Totally, 14 papers are accepted. This special issue will be published by CCPE as special issues. ACKNOWLEDGMENTSThe guest editors would like to thank Prof Geoffrey C. Fox who is the editor in chief of CCPE. His help and trust is the most important thing for the success of this SI. The guest editors would like to thank the reviewers for their high-quality reviews, which provided insightful and constructive feedback to the authors of the papers. ORCIDZheng Xu

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confidence: 99%