2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)最新文献_第5页

Automated warehouse systems: A cyber-physical system perspective 自动化仓库系统:网络物理系统视角

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301597

F. Basile, P. Chiacchio, J. Coppola, D. Gerbasio

引用次数: 11

RTFM-RT: A threaded runtime for RTFM-core - towards execution of IEC 61499 RTFM-RT:面向IEC 61499执行的rtfm核心的线程运行时

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301501

Andreas Lindner, Marcus Lindner, P. Lindgren

{"title":"RTFM-RT: A threaded runtime for RTFM-core - towards execution of IEC 61499","authors":"Andreas Lindner, Marcus Lindner, P. Lindgren","doi":"10.1109/ETFA.2015.7301501","DOIUrl":"https://doi.org/10.1109/ETFA.2015.7301501","url":null,"abstract":"The IEC 61449 standard provides an outset for designing and deploying distributed control systems. Recently, a mapping from IEC 61499 to the RTFM-kernel API has been presented. This allows predictable real-time execution of IEC 61499 applications on light-weight single-core platforms. However, integrating the RTFM-kernel (bare-metal runtime) into potential deployments requires developing device drivers, protocol stacks, and the like. For this presentation, we apply the mapping from IEC 61499 to the RTFM-MoC task and resource model implemented by the RTFM-core language. The compilation from RTFM-core can be targeted to both, RTFM-kernel and the introduced runtime system RTFM-RT. In this paper, we detail the generic RTFM-RT runtime architecture, which allows RTFM-core programs to be executed on top of thread based environments. Furthermore, we discuss our implementation regarding scheduling specifics of Win32 threads (Windows) and Pthreads (Linux and Mac OS X). Using our RTFM-RT implementation for deployment, predictable IEC 61499 execution together with access to abovementioned operating system functions are achieved. For further developments, we discuss the needed scheduling options to achieve hard real-time and analysis required to eliminate deadlocks.","PeriodicalId":6862,"journal":{"name":"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"44 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":"89501608","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

Using Google Glass for mobile maintenance and calibration tasks in the AUDI A8 production line 在奥迪A8生产线上使用谷歌眼镜进行手机维护和校准任务

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301618

S. Rauh, Daniel Zsebedits, Efim Tamplon, S. Bolch, G. Meixner

引用次数: 17

Comparison of multivariate analysis techniques in plastic injection moulding process 塑料注射成型过程多变量分析技术的比较

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301557

R. Ventura, X. Berjaga

{"title":"Comparison of multivariate analysis techniques in plastic injection moulding process","authors":"R. Ventura, X. Berjaga","doi":"10.1109/ETFA.2015.7301557","DOIUrl":"https://doi.org/10.1109/ETFA.2015.7301557","url":null,"abstract":"In this paper, we present a comparison between several statistical discriminant analysis techniques applied to a plastic injection moulding process for monitoring quality of injected moulded parts. Comparison among different ways of training the system can provide useful conclusions about the behaviour of the different models in poor conditions. The goal of this paper is to establish a baseline for comparing the performance between different algorithms. A wide variety of research objectives throughout the literature makes it difficult to provide a feasible comparison between results. The evaluation is intended to provide detailed, empirical information on the effectiveness and impact of different model parameters on the performance of the different approaches. The pros and cons of the approaches used are discussed. In order to predict the quality of a plastic part, we extract a set of salient features that characterise an injection cycle and then match these features against a database of stored examples of predefined classes by using supervised classification. The database was created from 199 real plastic injections without any overlap between training and testing datasets.","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":"78369397","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

DuDE-Cloud: A resilient high performance cloud DuDE-Cloud:弹性的高性能云

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301658

P. Danielis, J. Skodzik, Vlado Altmann, F. Golatowski, D. Timmermann

{"title":"DuDE-Cloud: A resilient high performance cloud","authors":"P. Danielis, J. Skodzik, Vlado Altmann, F. Golatowski, D. Timmermann","doi":"10.1109/ETFA.2015.7301658","DOIUrl":"https://doi.org/10.1109/ETFA.2015.7301658","url":null,"abstract":"In recent years, cloud computing, which provides users with network resources such as memory and computing power depending on the users' needs, has gained enormously in importance. Providers such as Amazon allow the users to access their cloud storage and computing resources by different interfaces. In this regard, guaranteeing compatibility is a severe issue as many different proprietary interfaces exist for accessing data in different clouds. The solution to this problem is the RESTful Cloud Data Management Interface (CDMI) standard, which has passed the ISO audit as first standard and is therefore evolving into the most common standard for accessing clouds. This paper investigates the combination of CDMI with a P2P-based storage and computing back-end in order to realize a self-organizing cloud for distributed data storage and processing called DuDE-Cloud. The basis is the self-organizing hash table (DHT)-based P2P storage and computing back-end called DuDE, which utilizes the DHT protocol Kad. DuDE is able to bundle existing storage and computing resources of different devices dynamically and has already proven its advantageous performance over centralized solutions. In a test scenario, resources of DuDE-Cloud were successfully accessed through CDMI using a GUI front-end thereby proving the proper functionality. As a result, a resilient high-performance distributed cloud solution is available that is compatible with other clouds.","PeriodicalId":6862,"journal":{"name":"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"93 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80730345","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

Efficient incident handling in industrial automation through collaborative engineering 协同工程在工业自动化中的高效事件处理

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301533

J. Blech, I. Peake, H. Schmidt, Mallikarjun Kande, A. Rahman, S. Ramaswamy, S. Sudarsan, V. Narayanan

{"title":"Efficient incident handling in industrial automation through collaborative engineering","authors":"J. Blech, I. Peake, H. Schmidt, Mallikarjun Kande, A. Rahman, S. Ramaswamy, S. Sudarsan, V. Narayanan","doi":"10.1109/ETFA.2015.7301533","DOIUrl":"https://doi.org/10.1109/ETFA.2015.7301533","url":null,"abstract":"We present our monitoring and decision framework for collaborative engineering for globally distributed operation, support, maintenance, and services for industrial automation. The framework provides relevant information to plant operators, engineers, staff and stakeholders to support the handling of incidents, based on semantically-appropriate factors such as personnel skills, physical location of affected equipment and dependencies between plant elements. We discuss the proposed application and present the architecture and implementation. Based on incoming events the framework selects, aggregates and displays information automatically for human processing possibly at distant control centres. For example an alarm in a manufacturing facility can trigger the display of relevant information on multiple devices such as workstations, tablets, or large control-room screens to supervisors and experts. Devices can be potentially in different locations and can comprise different visualization capabilities. The core of our framework uses semantic models and formal methods-based techniques to aggregate and process this information.","PeriodicalId":6862,"journal":{"name":"2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"14 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":"85700837","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: 26

Combined workspace monitoring and collision avoidance for mobile manipulators 移动机械手工作空间监测与避碰的组合

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301526

Angelika Zube

引用次数: 6

Comparative analysis of pick & place strategies for a multi-robot application 多机器人应用中取放策略的比较分析

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301450

Gaël Humbert, M. Pham, X. Brun, M. Guillemot, D. Noterman

引用次数: 15

Sub 10µW wake-up-receiver based indoor/outdoor asset tracking system 基于10µW唤醒接收器的室内/室外资产跟踪系统

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301613

J. Robert, Thomas Lindner, H. Milosiu

引用次数: 10

LQG control under Denial-of-Service attacks: An experimental study 拒绝服务攻击下LQG控制的实验研究

2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA) Pub Date : 2015-10-26 DOI: 10.1109/ETFA.2015.7301498

Haiding Tang, Zhouzheng Lu, Lifu Zhang, Yang Chen, Peng Cheng, Jiming Chen

引用次数: 5