2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)最新文献_第4页

Robust industrial control with optimized decoupling in roll-to-roll systems: New approaches using finite element modeling of the Web 具有优化解耦的卷对卷系统鲁棒工业控制:使用网络有限元建模的新方法

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301642

Yannick Martz, A. Ba, D. Knittel

引用次数: 4

Dependability demands and state of the art in the internet of things 物联网的可靠性要求和技术水平

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301592

Thom W. Frühwirth, Lukas Krammer, W. Kastner

引用次数: 23

Context-aware system for information services provision in the Internet of Things 面向物联网信息服务提供的情境感知系统

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301624

Everton de Matos, Leonardo A. Amaral, R. Tiburski, W. T. Lunardi, Fabiano Hessel, S. Marczak

引用次数: 10

Location Aided Zone Routing Protocol in Mobile Ad Hoc Networks 移动自组织网络中的位置辅助区域路由协议

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301615

Thu Pham Thi Minh, Trong-Tien Nguyen, Dong-Seong Kim

引用次数: 14

Decentralized controller reconfiguration strategies for hybrid system dynamics based on product-intelligence 基于产品智能的混合系统动力学分散控制器重构策略

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301527

Fabian Bertelsmeier, A. Trächtler

引用次数: 4

A Modbus/TCP Fuzzer for testing internetworked industrial systems 用于测试联网工业系统的Modbus/TCP模糊器

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301400

A. Voyiatzis, Konstantinos Katsigiannis, S. Koubias

引用次数: 50

A dynamic inversion approach for oscillation-free control of overhead cranes 高架起重机无振控制的动态反演方法

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301445

F. Padula, A. Visioli, D. Facchinetti, A. Saleri

引用次数: 13

Fast nonstationary filtering for adaptive weighing system 自适应称重系统的快速非平稳滤波

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301534

A. Pawłowski, F. Rodríguez, J. Sánchez-Hermosilla, S. Dormido

{"title":"Fast nonstationary filtering for adaptive weighing system","authors":"A. Pawłowski, F. Rodríguez, J. Sánchez-Hermosilla, S. Dormido","doi":"10.1109/ETFA.2015.7301534","DOIUrl":"https://doi.org/10.1109/ETFA.2015.7301534","url":null,"abstract":"In this work, a practical evaluation of the filtering method for weighing system is provided. The analyzed system form a part of the horticultural fruits sorting machine, which requires a fast and reliable weight measurements. Dynamic weighing of moving objects requires fast and adaptive signal processing techniques in order to guaranty a timely response. Thus, applied signal filtration technique must ensure that the constant component remains free of noise, transient responses of load cell as well as mechanical vibrations. In this paper fast nonstationary filtering method is applied, providing optimal tradeoff between response time and settling time of steady state value. The implementation method uses the distributed approach, where an intelligent sensor captures raw signal and applies adaptive filter. Subsequently, obtained value is transmitted to central unit, that applies weight compensation function to improve the measurement accuracy. All presented results use the real signal acquired in industrial conditions from the tests of sorting machine prototype. The analyzed approach obtains promising results for all sorting modes. Moreover, classical filtering approach is used for comparison purposes and performance evaluation.","PeriodicalId":6862,"journal":{"name":"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"12 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74438975","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: 5

Context-based search engine for industrial IoT: Discovery, search, selection, and usage of devices 基于上下文的工业物联网搜索引擎:设备的发现、搜索、选择和使用

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301477

W. T. Lunardi, Everton de Matos, R. Tiburski, Leonardo A. Amaral, S. Marczak, Fabiano Hessel

{"title":"Context-based search engine for industrial IoT: Discovery, search, selection, and usage of devices","authors":"W. T. Lunardi, Everton de Matos, R. Tiburski, Leonardo A. Amaral, S. Marczak, Fabiano Hessel","doi":"10.1109/ETFA.2015.7301477","DOIUrl":"https://doi.org/10.1109/ETFA.2015.7301477","url":null,"abstract":"During the past few years, with the fast development and proliferation of the Internet of Things (IoT), many application areas have started to exploit this new computing paradigm. An interesting use of IoT is in the Industrial field, which has resulted in a new business concept called IIoT (Industrial Internet of Things). Another important fact is the number of active computing devices has been growing at a rapid pace in IoT environments around the world. Consequently, a mechanism to deal with this different devices has become necessary. Middleware systems solutions for IoT have been developed in both research and industrial environments to supply this need. However, discover, search, select, and interact with devices remain a critical challenge. In this paper we present COBASEN, a software framework composed of a Context Module and a Search Engine to address the research challenge regarding the discovery and interaction with IoT devices when large number of devices with overlapping and sometimes redundant functionality are available in IoT middleware systems. The search engine of the COBASEN operates based on the semantic characteristics of the devices, which is provided by the context module, and that helps users in their interactions with desired devices. The main goal of this work is to highlight the importance of a context-based search engine in the IoT paradigm and to provide a solution that addresses the proper management of search and usage in IoT middleware environments. We developed a tool that implements all COBASEN concepts. However, for preliminarily tests, we made a functional evaluation of the search engine in terms of performance for indexing and querying response time. Our initial findings suggest that COBASEN provides important approaches that facilitate the development of IIoT applications, which based on the COBASEN systems support, may perform essential roles to improve industrial processes.","PeriodicalId":6862,"journal":{"name":"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"324 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76350236","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: 40

A survey of commercial frameworks for the Internet of Things 物联网商业框架调查

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301661

Hasan Derhamy, J. Eliasson, J. Delsing, P. Priller

引用次数: 165