2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)最新文献_第6页

A Meta-Heuristic Approach for Dynamic Process Planning in Reconfigurable Manufacturing Systems 可重构制造系统动态工艺规划的元启发式方法

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00035

Fu-Shiung Hsieh

{"title":"A Meta-Heuristic Approach for Dynamic Process Planning in Reconfigurable Manufacturing Systems","authors":"Fu-Shiung Hsieh","doi":"10.1109/PDCAT.2017.00035","DOIUrl":"https://doi.org/10.1109/PDCAT.2017.00035","url":null,"abstract":"Reconfigurable Manufacturing Systems (RMS) is a paradigm to flexibly deal with frequent changing demand and technologies. With the advancement of technology and more and more sensors and machines are connected, the world quickly enter the era of Internet of Things (IoT), which provides infrastructure for RMS. However existing studies lack a formalism that provides a framework for the development of RMS, from modeling, design to implementation. In particular, an important issue is design of dynamic process planner for RMS. This paper focuses on the development of a dynamic process planning method for the development of RMS. Modeling and managing RMS in manufacturing sector are challenging issues due to the complex workflows in the system. Recent progress in artificial intelligence and bio-inspired optimization technology provides a solid background to develop a framework to provide dynamic process planning for RMS in IoT-enabled manufacturing environment. In this paper, we propose a process planning method based on multi-agent systems (MAS) using Petri Nets to specify the workflows and capabilities of resources in the system and develop a solution algorithm based on a meta-heuristic method to solve the process planning problem based on discrete Particle swarm optimization (DPSO) approach The proposed method is illustrated by a several examples.","PeriodicalId":119197,"journal":{"name":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133022841","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: 9

Local Tetra Pattern Texture Features for Environmental Sound Event Classification 环境声音事件分类的局部四元纹理特征

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00082

Khine Zar Thwe, Nu War

引用次数: 2

Program Classification in a Stream TV Using Deep Learning 使用深度学习的流电视节目分类

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00029

Mounira Hmayda, R. Ejbali, M. Zaied

{"title":"Program Classification in a Stream TV Using Deep Learning","authors":"Mounira Hmayda, R. Ejbali, M. Zaied","doi":"10.1109/PDCAT.2017.00029","DOIUrl":"https://doi.org/10.1109/PDCAT.2017.00029","url":null,"abstract":"Automatic identification of television programs in the TV stream is an important task for operating archives and represent a principal source of multimedia information.. The goal of the proposed approach is to enable a better exploitation of this source of video by multimedia services (i.e., TV-On-Demand, catch-up TV), social community, and video-sharing pla forms (Vimeo, Youtube, Facebook…) This paper presents a new spatio-temporal approach to identify the programs in TV stream using deep learning in two main steps. A database for video of visual jingles is constructed for training. In the test we use same jingles program type in order to identify the various program types in the TV stream. The main idea of identification process consists in using the principal of auto-encoder. After presenting the proposed approach, the paper overviews the encouraging experimental results on several streams extracted from different channels and composed of several programs. Comparison experiments to similar works have been carried out on the TRECVID 2017 database. We show significant improvements to TV programs identification exceed 95 %.","PeriodicalId":119197,"journal":{"name":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133548557","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: 7

A Depth-First Search Algorithm Based Otoscope Application for Real-Time Otitis Media Image Interpretation 基于深度优先搜索算法的耳镜在中耳炎实时图像判读中的应用

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00036

Yukai Huang, Chia-Ping Huang

引用次数: 9

Optimization of Zuker Algorithm on GPUs gpu上Zuker算法的优化

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00048

Amik Singh, M. Miśra

引用次数: 0

Agent Collaboration in Intelligent Parking Lot Systems: Dynamic Generation of Commitment Protocol 智能停车场系统中的Agent协作:承诺协议的动态生成

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00076

Jing Wang, Wei Liu, Shuang Li

引用次数: 2

Application Classification Based on Preference for Resource Requirements in Virtualization Environment 基于资源需求偏好的虚拟化应用分类

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00037

Shumin Qiao, Binbin Zhang, Weiyi Liu

引用次数: 1

Efficient Data Gathering in Wireless Sensor Networks with Fixed-Group Method 基于固定群方法的无线传感器网络高效数据采集

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00068

Zhansheng Chen, Hong Shen

{"title":"Efficient Data Gathering in Wireless Sensor Networks with Fixed-Group Method","authors":"Zhansheng Chen, Hong Shen","doi":"10.1109/PDCAT.2017.00068","DOIUrl":"https://doi.org/10.1109/PDCAT.2017.00068","url":null,"abstract":"Topology control based on appropriate cluster head election can drastically reduce energy consumption, balance traf?c load on sensor nodes and extends the lifetime of the network. In this paper, an ef?cient data gathering multihop routing approach based on ?xed-group for wireless sensor networks is proposed. Our proposed protocol, FGMRP (Fixed-Group based Multi-hop Routing Protocol), divides the monitoring area into several groups according to node intimacy, optimizes energy consumption among nodes in each group by performing adaptive cluster head round-robin rotations based on residual energy, concentration and centrality, and balances energy consumption among groups through a ?tness routing algorithm which considers node residual energy, forwarding distance and radial angle. Simulation results show that the FGMRP protocol effectively balances the energy consumption among nodes, achieves better monitoring performance and signi?cantly increases network lifetime as compared to the existing routing protocols, taking monitoring quality, the amount of data acquisition and network lifetime as evaluation indices.","PeriodicalId":119197,"journal":{"name":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115318965","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: 3

Research on the Relationship between Railway Network Development and Economic Growth in Central China 中部地区铁路网发展与经济增长关系研究

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00046

Cai-xin Han

引用次数: 1

Multi-Blockchain Model for Central Bank Digital Currency 央行数字货币的多区块链模型

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) Pub Date : 2017-12-01 DOI: 10.1109/PDCAT.2017.00066

He Sun, Hongliang Mao, Xiaomin Bai, Zhidong Chen, Kai Hu, Wei Yu

{"title":"Multi-Blockchain Model for Central Bank Digital Currency","authors":"He Sun, Hongliang Mao, Xiaomin Bai, Zhidong Chen, Kai Hu, Wei Yu","doi":"10.1109/PDCAT.2017.00066","DOIUrl":"https://doi.org/10.1109/PDCAT.2017.00066","url":null,"abstract":"Digital Currency for Central Bank is becoming an important policy for country. CBDC (Central Bank Digital Currency) model should take advantages in the supervision, payment and consumption. Blockchain possesses the feature of de-centrality, tamper-resistant, and traceability. So this paper attempts to use the blockchain as the fundamental technology of CBDC. However, the challenges such as the protection for users privacy, supervision and transaction speed should be overcome. This paper proposes a CBDC model called MBDC which is based on the permission blockchain technology. The model makes use of the multi-blockchain architecture and ChainID to improve the models scalability and process payments more quickly. In this model, central bank and commercial banks and other agencies build and maintain the blockchain. On one hand, central bank could master the issuance of currency. On the other hand, relying on the user account address protocol, central bank could separate the users identity and transaction information. In this way, central bank could avoid double-spending issues and protect users privacy. In addition, the establishment of DC (Data Center) and layers of supervision provide strong supervision for the model. Finally, we also demonstrate, both theoretically and experimentally, the performance of model on the scalability and the speed of transaction execution etc.","PeriodicalId":119197,"journal":{"name":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126012630","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: 33