Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)最新文献_第9页

Dynamic collection of data in complex, physical environments 在复杂的物理环境中动态收集数据

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI: 10.1109/ETFA.2014.7005206

P. Lalanda, Stéphanie Chollet, C. Escoffier, D. Morand

引用次数: 1

Performance optimization of a UWB-based network for safety-critical avionics 安全关键型航空电子设备基于uwb网络的性能优化

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI: 10.1109/ETFA.2014.7005191

Dinh-Khanh Dang, A. Mifdaoui

引用次数: 3

Design of discrete-time finite-gain resonators in AFC control AFC控制中离散有限增益谐振器的设计

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI: 10.1109/ETFA.2014.7005192

Marcos Orellana, R. Griñó

引用次数: 0

Implementing the Green Batch: A case study: Continuous statistical evaluation to achieve the most energy efficient and reliable process 实施绿色批次:一个案例研究:持续统计评估，以实现最节能和最可靠的过程

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI: 10.1109/ETFA.2014.7005313

K. Leahy, K. Bruton, D. O’Sullivan

引用次数: 0

Semantic mapping support in AutomationML AutomationML中的语义映射支持

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI: 10.1109/ETFA.2014.7005276

S. Biffl, O. Kovalenko, A. Lüder, Nicole Schmidt, Ronald Rosendahl

引用次数: 18

Fully-automated strength, agility and endurance tests assessment: An integrated low cost approach based on an instrumented chair 全自动强度、敏捷性和耐力测试评估:基于仪器椅的综合低成本方法

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI: 10.1109/ETFA.2014.7005099

José Gonçalves, Jose Batista, P. Costa

{"title":"Fully-automated strength, agility and endurance tests assessment: An integrated low cost approach based on an instrumented chair","authors":"José Gonçalves, Jose Batista, P. Costa","doi":"10.1109/ETFA.2014.7005099","DOIUrl":"https://doi.org/10.1109/ETFA.2014.7005099","url":null,"abstract":"In this paper it is described the prototyping of an instrumented chair that allows to fully-automate the “Timed Up and Go”, the “30-Second Chair Stand” and the “Hand-Force ” tests assessment. The presented functional chair prototype is a low cost approach that uses inexpensive sensors and the Arduino platform as the data acquisition board, with its software developed in LabVIEW. The “Timed up and go test” consists in measuring the time spent in the task execution of standing up from a chair, walk three meters with a maximum speed without running, turn a cone and going back to the initial position. The “30-Second Chair Stand” test consists in counting the number of completed chair stands in 30 seconds. It are agility, strength and endurance tests easy to setup and execute although they lack of repeatability, whenever the measures are taken manually, due to the rough errors that are introduced. The “Hand-Force” test consists in measuring the hand strength, the relevant data are the peak and average values of several tests. The referred data is important in order to evaluate hand rehabilitation treatment results.","PeriodicalId":20477,"journal":{"name":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","volume":"7 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82203804","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: 1

An adaptive image processing system based on incremental learning for industrial applications 基于增量学习的自适应图像处理系统

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI: 10.1109/ETFA.2014.7005346

Yongheng Wang, M. Weyrich

{"title":"An adaptive image processing system based on incremental learning for industrial applications","authors":"Yongheng Wang, M. Weyrich","doi":"10.1109/ETFA.2014.7005346","DOIUrl":"https://doi.org/10.1109/ETFA.2014.7005346","url":null,"abstract":"Machine learning has been applied in image processing system for object recognition, inspection and measurement. It assumes that the provided training objects are representative enough to the real objects. However in real application, new (unlearned) objects always emerge over time, which may deviate from the trained (learned) objects. The conventional image processing system using machine learning is not able to learn and then recognize these new objects. In this paper, an incremental learning based image processing system is presented. The overall system consists of three layers: execution, learning and user. The conventional image processing system is constructed in execution layer. In learning layer, adviser and incremental learning are applied to generate a new classifier. The incremental learning is differentiated into different methodologies: data accumulation and ensemble learning. Through the adviser, a proper methodology can be recommended. User is able to interact with the system via user layer. Comparing to the conventional image processing system, the proposed system is robust in industrial applications, since it deals with the classification problems dynamically.","PeriodicalId":20477,"journal":{"name":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","volume":"15 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82641101","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

Versatility of power gyrator structures for energy processing in photovoltaic solar systems 用于光伏太阳能系统能量处理的功率旋转器结构的多功能性

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI: 10.1109/ETFA.2014.7005205

H. Martínez, A. Grau-Saldes

引用次数: 0

Towards a reliability analysis of the design space for the communication subsystem of FT4FTT 对FT4FTT通信子系统设计空间的可靠性分析

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI: 10.1109/ETFA.2014.7005298

David Gessner, J. Proenza, M. Barranco, P. Portugal

引用次数: 7

Identifying automation components in modular manufacturing systems: A method for modeling dependencies of manufacturing systems 识别模块化制造系统中的自动化组件:制造系统依赖关系建模的方法

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI: 10.1109/ETFA.2014.7005131

T. Helbig, E. Westkämper, Johannes Hoos

{"title":"Identifying automation components in modular manufacturing systems: A method for modeling dependencies of manufacturing systems","authors":"T. Helbig, E. Westkämper, Johannes Hoos","doi":"10.1109/ETFA.2014.7005131","DOIUrl":"https://doi.org/10.1109/ETFA.2014.7005131","url":null,"abstract":"Modularization aims to improve the flexibility and reconfigurability of manufacturing systems. But the effort and complexity required for the coordination of modules increases with the distribution of intelligence. One of the challenges is the identification of subsystems or automation components in modular manufacturing system which is the focus of this paper. The complete identification of a component includes information on the communication channel, the localization of the component and the related process step. As no single identification method is able to gather all aspects of identification, the Manufacturing System Dependency Model (MaSDeM) is introduced which models the dependencies between distributed automation components. This model is based on three layers representing the different perspectives on the system of the involved persons in the development process of a manufacturing system. With the help of this model one single identification fact is sufficient to deduce all the information on the component. This helps to reduce engineering time involved in modular manufacturing systems.","PeriodicalId":20477,"journal":{"name":"Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)","volume":"4 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89980151","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