2017 13th IEEE Conference on Automation Science and Engineering (CASE)最新文献

A study on performance evaluation and status-based decision for cyber-physical production systems 信息物理生产系统的性能评价与状态决策研究

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-23 DOI: 10.1109/COASE.2017.8256233

Feifan Wang, Feng Ju, Yan Lu

{"title":"A study on performance evaluation and status-based decision for cyber-physical production systems","authors":"Feifan Wang, Feng Ju, Yan Lu","doi":"10.1109/COASE.2017.8256233","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256233","url":null,"abstract":"In concert with advances in information and communication technology and their application to manufacturing environments, physical entities in factories are acquiring more intelligence via integration with cyber systems. This integration brings about Cyber-Physical Production Systems and leads to smart manufacturing, the next generation manufacturing paradigm. In the new paradigm, high levels of agility, flexibility, and real-time control make it possible to keep the system running efficiently and self-organized. At the same time, however, it becomes difficult in a self-organized and decentralized system to capture the system's status, evaluate the system's performance, and predict the system's future events. In this article, we suggest improvements to smart manufacturing systems where the intelligence from smart entities could be fully utilized without losing system control. To achieve this goal, a solution for integrating schedule-driven production (push systems) and event-driven production (pull systems) is proposed to optimize both material flow and information flow for manufacturing operations. For each entity in a smart manufacturing system, details of decision making are encapsulated and its status is exposed. The status-based decisions filter out unimportant information and make smart manufacturing systems loosely-coupled and predictable. A simulation case study based on Devices Profile for Web Services [1] is used to illustrate the effectiveness of such an approach. The case study suggests that status-based decisions could be applied to smart manufacturing and that they can be part of an approach that balances the self-organized control with overall performance. Therefore, we can make full use of intelligent entities in lower levels of a factory while keeping the entire system under control.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124924002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Optimization of deterministic timed weighted marked graphs 确定性定时加权标记图的优化

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-20 DOI: 10.1109/COASE.2017.8256226

Zhou He, Zhiwu Li, A. Giua

引用次数: 6

A circuit-breaker use-case operated by a humanoid in aircraft manufacturing 飞机制造中由人形机器人操作的断路器用例

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-20 DOI: 10.1109/COASE.2017.8256069

Anastasia Bolotnikova, Kevin Chappellet, Antonio Paolillo, Adrien Escande, G. Anbarjafari, Adolfo Suarez-Roos, P. Rabaté, A. Kheddar

引用次数: 18

Stochastic simulation of clinical pathways from raw health databases 从原始健康数据库中随机模拟临床路径

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-20 DOI: 10.1109/COASE.2017.8256167

M. Prodel, V. Augusto, Xiaolan Xie, B. Jouaneton, L. Lamarsalle

引用次数: 5

An optimization-simulation approach for long term care structure assignment problem for elderly people 老年人长期护理结构分配问题的优化模拟方法

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-20 DOI: 10.1109/COASE.2017.8256166

T. Franck, V. Augusto, Xiaolan Xie, R. Gonthier

引用次数: 2

The convergence analysis of bat-inspired consensus protocols with nonlinear dynamics 具有非线性动力学的蝙蝠启发共识协议的收敛性分析

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256325

Qishuai Liu, Qing Hui

引用次数: 4

Target tracking over distributed sensor networks by polar measurements with time-varying bias 时变偏差极坐标测量在分布式传感器网络上的目标跟踪

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256142

Cui Zhang, Y. Jia

引用次数: 0

Fuzzy decision of machine switch on-off for energy efficient operation of manufacturing system 面向制造系统节能运行的机床开关的模糊决策

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256259

Junfeng Wang, J. Xue, Eliana Torres Duque, Shiqi Li, Q. Chang

引用次数: 9

Task scheduling based on virtual machine matching in clouds 云环境下基于虚拟机匹配的任务调度

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256171

Peiyun Zhang, Mengchu Zhou

引用次数: 2

Regulation by competing: A hidden layer of gene regulatory networks 竞争调控:基因调控网络的隐藏层

2017 13th IEEE Conference on Automation Science and Engineering (CASE) Pub Date : 2017-08-01 DOI: 10.1109/COASE.2017.8256084

Xiaowo Wang

{"title":"Regulation by competing: A hidden layer of gene regulatory networks","authors":"Xiaowo Wang","doi":"10.1109/COASE.2017.8256084","DOIUrl":"https://doi.org/10.1109/COASE.2017.8256084","url":null,"abstract":"Quantitative understanding of biological regulation is essential for studying natural biosystems and for constructing synthetic systems. Current studies on gene regulation are used to build models under the assumption that gene regulators acting on a single or few targets. However, many regulators are actually shared between multiple target species with varying binding affinities, and target molecules often exist at different copy number. If the regulator is not in excess relative to target molecule pool, targets could cross talk with each other by competing for a limited pool of sharing regulators. Emerging examples suggest that such competing effects are wide spread in biosystems, including transcription factor binding, ribosome allocation, microRNA regulation, protein degradation, etc. We proposed a mathematical model to describe the common properties of these diverse competing regulatory systems, and implemented synthetic gene circuits to understand the quantitative behaviors of microRNA-target competing effects in human cell (1,2). Our work and several resent papers demonstrate that, molecular competing effects can couple the expression level of target molecules (3), introduce ultra-sensitivity to regulation dose-response curve (1,4), control temporal dynamics of gene expression (5), filter high frequency noises, and influence the stability of synthetic gene circuits (6). Systematic study of competitive regulation is essential for the precise control of synthetic biological systems.","PeriodicalId":445441,"journal":{"name":"2017 13th IEEE Conference on Automation Science and Engineering (CASE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125463512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0