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arXiv 2022年

作者： Froschauer, Roman Köcher, Aljosha Meixner, Kristof Schmitt, Siwara Spitzer, Fabian Christian-Doppler-Laboratory SQI Information and Software Engineering TU Wien Vienna Austria Institute of Automation Helmut Schmidt University Hamburg Germany Center of Excellence for Smart Production University of Applied Sciences Upper Austria Wels Austria Embedded Systems Engineering Fraunhofer IESE Kaiserslautern Germany

Industry 4.0 envisions Cyber-Physical Production systems (CPPSs) to foster adaptive production of mass-customizable products. Manufacturing approaches based on capabilities and skills aim to support this adaptability by encapsulating machine functions and decoupling them from specific production processes. At the 2022 IEEE conference on Emerging Technologies and Factory automation (ETFA), a special session on capability- and skill-based manufacturing is hosted for the fourth time. However, an overview on capability- and skill based systems in factory automation and manufacturing systems is missing. This paper aims to provide such an overview and give insights to this particular field of research. We conducted a concise literature survey of papers covering the topics of capabilities and skills in manufacturing from the last ten years of the ETFA conference. We found 247 papers with a notion on capabilities and skills and identified and analyzed 34 relevant papers which met this survey’s inclusion criteria. In this paper, we provide (i) an overview of the research field, (ii) an analysis of the characteristics of capabilities and skills, and (iii) a discussion on gaps and opportunities. Copyright © 2022, The Authors. All rights reserved.

关键词： Factory automation

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Offsite Evaluation of Localization systems: Criteria, systems, and Results From IPIN 2021 and 2022 Competitions

IEEE Journal on Indoor and Seamless Positioning and Navigati...

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IEEE Journal on Indoor and Seamless Positioning and Navigation 2024年 2卷 92-129页

作者： Potorti, Francesco Crivello, Antonino Lee, Soyeon Vladimirov, Blagovest Park, Sangjoon Chen, Yushi Wang, Long Chen, Runze Zhao, Fang Zhuge, Yue Luo, Haiyong Perez-Navarro, Antoni Jimenez, Antonio R. Wang, Han Liang, Hengyi De Cock, Cedric Plets, David Cui, Yan Xiong, Zhi Li, Xiaodong Ding, Yiming Franco, Fernando Javier Alvarez Polo, Fernando Jesus Aranda Rodriguez, Felipe Parralejo Moreira, Adriano Pendao, Cristiano Silva, Ivo Ortiz, Miguel Zhu, Ni Li, Ziyou Renaudin, Valerie Wei, Dongyan Ji, Xinchun Zhang, Wenchao Wang, Yan Ding, Longyang Kuang, Jian Zhang, Xiaobing Dou, Zhi Yang, Chaoqun Kram, Sebastian Stahlke, Maximilian Mutschler, Christopher Coene, Sander Li, Chenglong Venus, Alexander Leitinger, Erik Tertinek, Stefan Witrisal, Klaus Wang, Yi Wang, Shaobo Jin, Beihong Zhang, Fusang Su, Chang Wang, Zhi Li, Siheng Li, Xiaodong Li, Shitao Pan, Mengguan Zheng, Wang Luo, Kai Ma, Ziyao Gao, Yanbiao Chang, Jiaxing Ren, Hailong Guo, Wenfang Torres-Sospedra, Joaquin Pisa56124 Italy Electronics and Telecommunications Research Institute Daejeon34129 Korea Republic of Beijing University of Posts and Telecommunications School of Computer Science National Pilot Software Engineering School Beijing100876 China Chinese Academy of Sciences Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Beijing100190 China Universitat Oberta de Catalunya Faculty of Computer Sciences Multimedia and Telecommunication Barcelona08035 Spain Arganda del Rey28500 Spain Huawei Technologies Company Ltd. Shenzhen100015 China IMEC-WAVES/Ghent University Department of Information Technology Gent9052 Belgium Nanjing University of Aeronautics and Astronautics College of Automation Nanjing210016 China University of Extremadura Badajoz06006 Spain University of Trás-os-Montes and Alto Douro Department of Engineering School of Sciences and Technology Vila Real5000-801 Portugal Universidade Do Minho Centro Algoritmi Guimarães4800-058 Portugal Ame Department of the University Gustave Eiffel Geoloc Laboratory Bouguenais44344 France Chinese Academy of Sciences Aerospace Information Research Institute Beijing100094 China Wuhan University Gnss Research Center Wuhan430072 China AutoNavi Software Company Ltd. China Fraunhofer Institute for Integrated Circuits Iis Fraunhofer Iis Nuremberg90411 Germany Erlangen91058 Germany Graz University of Technology Christian Doppler Laboratory for Location-Aware Electronic Systems Graz8010 Austria Institute of Software Chinese Academy of Sciences Beijing100190 China Purple Mountain Laboratories Pervasive Communication Research Center Nanjing210000 China Beijing University of Posts and Telecommunications Beijing100876 China

Indoor positioning is a thriving research area, which is slowly gaining market momentum. Its applications are mostly customized, ad hoc installations;ubiquitous applications analogous to Global Navigation Satellite System for outdoors are not available because of the lack of generic platforms, widely accepted standards and interoperability protocols. In this context, the indoor positioning and indoor navigation (IPIN) competition is the only long-term, technically sound initiative to monitor the state of the art of real systems by measuring their performance in a realistic environment. Most competing systems are pedestrian-oriented and based on the use of smartphones, but several competing tracks were set up, enabling comparison of an array of technologies. The two IPIN competitions described here include only off-site tracks. In contrast with on-site tracks where competitors bring their systems on-site - which were impossible to organize during 2021 and 2022 - in off-site tracks competitors download prerecorded data from multiple sensors and process them using the EvaalAPI, a real-time, web-based emulation interface. As usual with IPIN competitions, tracks were compliant with the EvAAL framework, ensuring consistency of the measurement procedure and reliability of results. The main contribution of this work is to show a compilation of possible indoor positioning scenarios and different indoor positioning solutions to the same problem. © 2023 CCBY.

关键词： Smartphones

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REFUGE2 CHALLENGE: A TREASURE TROVE FOR MULTI-DIMENSION ANALYSIS AND EVALUATION IN GLAUCOMA SCREENING

arXiv

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arXiv 2022年

作者： Fang, Huihui Li, Fei Wu, Junde Fu, Huazhu Sun, Xu Son, Jaemin Yu, Shuang Zhang, Menglu Yuan, Chenglang Bian, Cheng Lei, Baiying Zhao, Benjian Xu, Xinxing Li, Shaohua Fumero, Francisco Sigut, José Almubarak, Haidar Bazi, Yakoub Guo, Yuanhao Zhou, Yating Baid, Ujjwal Innani, Shubham Guo, Tianjiao Yang, Jie Orlando, José Ignacio Bogunović, Hrvoje Zhang, Xiulan Xu, Yanwu The REFUGE2 Challenge Australia State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat-Sen University Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science Guangzhou China Intelligent Healthcare Unit Baidu Inc. Beijing China The Institute of High Performance Computing Agency for Science Technology and Research Singapore Yatiris Group PLADEMA Institute CONICET UNICEN Tandil Argentina Christian Doppler Lab for Artificial Intelligence in Retina Department of Ophthalmology and Optometry Medical University of Vienna Vienna Austria VUNO Inc Seoul Korea Republic of Tencent HealthCare Tencent Shenzhen China Computer Vision Institute College of Computer Science and Software Engineering of Shenzhen University Shenzhen China School of Biomedical Engineering Health Science Center Shenzhen University China Xiaohe Healthcare ByteDance Guangdong Guangzhou510000 China School of Biomedical Engineering Shenzhen University China College of Computer Science & Software Engineering Shenzhen University China Department of Computer Science and Systems Engineering Universidad de La Laguna Spain Saudi Electronic University Saudi Arabia King Saud University Saudi Arabia Institute of Automation Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China SGGS Institute of Engineering and Technology India Institute of Medical Robotics Shanghai Jiao Tong University China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China

With the rapid development of artificial intelligence (AI) in medical image processing, deep learning in color fundus photography (CFP) analysis is also evolving. Although there are some open-source, labeled datasets of CFPs in the ophthalmology community, large-scale datasets for screening only have labels of disease categories, and datasets with annotations of fundus structures are usually small in size. In addition, labeling standards are not uniform across datasets, and there is no clear information on the acquisition device. Here we release a multi-annotation, multi-quality, and multi-device color fundus image dataset for glaucoma analysis on an original challenge-Retinal Fundus Glaucoma Challenge 2nd Edition (REFUGE2). The REFUGE2 dataset contains 2000 color fundus images with annotations of glaucoma classification, optic disc/cup segmentation, as well as fovea localization. Meanwhile, the REFUGE2 challenge sets three sub-tasks of automatic glaucoma diagnosis and fundus structure analysis and provides an online evaluation framework. Based on the characteristics of multi-device and multi-quality data, some methods with strong generalizations are provided in the challenge to make the predictions more robust. This shows that REFUGE2 brings attention to the characteristics of real-world multi-domain data, bridging the gap between scientific research and clinical application. © 2022, CC BY-NC-ND.

关键词： Color

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Investigating model slicing capabilities on integrated plant models with automationML

Investigating model slicing capabilities on integrated plant...

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International Conference on Emerging Technologies and Factory automation (ETFA)

作者： Richard Mordinyi Dietmar Winkler Fajar J. Ekaputra Manuel Wimmer Stefan Biffl Christian-Doppler-Laboratory “Software Engineering Integration for Flexible Automation Systems”” Vienna University of Technology Vienna Austria SBA Research GmbH Vienna Austria

ISBN: (纸本)9781509013159

Typical large-scale systems engineering projects depend on seamless cooperation and data exchange of experts from various engineering domains and organizations that work in a heterogeneous engineering environment. Available software tools support individual engineering disciplines quite well, but they only represent a discipline-specific view on the engineering plant. Consequently, a so-called integrated plant model captures and combines all different views into one representation in order to provide an overarching, discipline-independent view on the engineering plant. However, in order to support effective engineering processes, like change management, stakeholders need to be able to (a) define the scope of their changes they want to merge into the integrated plant model rather than the latest status of their view with various fragile adaptations, and (b) extract only engineering information from integrated plant model which is in the scope of the stakeholders's discipline and interest. In this paper, we describe requirements identified in industrial use cases regarding filtering capabilities on (integrated) engineering plant models and model-driven engineering techniques for model-slicing applied on automationML models. The approach contributes to quality assurance and fault-prevention in engineering data since it helps to focus on parts of the engineering plant model relevant in certain engineering processes.

关键词： Data models Adaptation models automation Context modeling Unified modeling language Information filtering

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SHACL4P: SHACL constraints validation within Protégé ontology editor

SHACL4P: SHACL constraints validation within Protégé ontol...

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International Conference on Data and software engineering (ICODSE)

作者： Fajar J. Ekaputra Xiashuo Lin Christian Doppler Laboratory of Software Engineering Integration for Flexible Automation System Institute of Software Technology and Information System Vienna TU Wien Austria

ISBN: (纸本)9781509056729

Recently, Semantic Web Technologies (SWT) have been introduced and adopted to address the problem of enterprise data integration (e.g., to solve the problem of terms and concepts heterogeneity within large organizations). One of the challenges of adopting SWT for enterprise data integration is to provide the means to define and validate structural constraints over Resource Description Framework (RDF) graphs. This is difficult since RDF graph axioms behave like implications instead of structural constraints. SWT researchers and practitioners have proposed several solutions to address this challenge (e.g., SPIN and Shape Expression). However, to the best of our knowledge, none of them provide an integrated solution within open source ontology editors (e.g., Protégé). We identified this absence of the integrated solution and developed SHACL4P, a Protégé plugin for defining and validating Shapes Constraint Language (SHACL), the upcoming W3C standard for constraint validation within Protégé ontology editor.

关键词： OWL Biological system modeling Ontologies Tools

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Evaluation of NoSQL graph databases for querying and versioning of engineering data in multi-disciplinary engineering environments

Evaluation of NoSQL graph databases for querying and version...

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International Conference on Emerging Technologies and Factory automation (ETFA)

作者： Richard Mordinyi Philipp Schindler Stefan Biffl Christian-Doppler-Laboratory Software Engineering Integration for Flexible Automation Systems Institute of Software Technology and Interactive Systems Vienna University of Technology Vienna Austria

In the context of large engineering projects the effective and efficient exchange and versioning of information from different engineering disciplines is essential. Semantic data integration approaches provide the necessary means to overcome the gap between heterogeneous local engineering tool concepts and common project-level concepts which enable the mapping of engineering data coming from different disciplines. However, evaluations have shown that ontology-based stores do not satisfy versioning and query performance criteria in case of large multi-disciplinary engineering projects. In this paper, we present an architecture solution that uses ontologies to describe engineering models and a NoSQL graph database to version individuals. We evaluate the software architectures according to quality attributes, i.e., performance and scalability, in the context of an industrial scenarios, and compare it with related approaches. Main results suggest that the architecture outperforms ontology stores and match solutions relying on relational databases.

关键词： Databases Ontologies Data models Semantics Resource description framework Context

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Modeling automationML: Semantic Web Technologies vs. Model-Driven engineering

Modeling AutomationML: Semantic Web Technologies vs. Model-D...

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IEEE Conference on Emerging Technologies and Factory automation

作者： Olga Kovalenko Manuel Wimmer Marta Sabou Arndt Luder Fajar J. Ekaputra Stefan Biffl Christian Doppler Laboratory Software Engineering Integration for Flexible Automation Systems Vienna University of Technology Otto-v.-Guericke University Faculty Mechanical Engineering

ISBN: (纸本)9781467379304

Modeling engineering knowledge explicitly and representing it by means of standardized modeling languages and in machine-understandable form enables advanced engineering processes in industrial and factory automation. This affects positively both process and product quality. In this paper we explore how the automationML format, an emerging data exchange standard, that supports the Industry 4.0 vision, can be represented by means of two established modeling approaches-Model-Driven engineering (MDE) and Semantic Web. We report observed differences w.r.t. resulting model features and model creation process and, additionally, present the application possibilities of the developed models for engineering process improvement in a production system engineering context.

关键词： Modeling engineering knowledge Enterprise models Manufacturing Ontology Ontology engineering Model driven engineering automationML

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Runtime integration of industrial automation system tools based on engineering service bus

Runtime integration of industrial automation system tools ba...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Petr Novák Richard Mordinyi Czech Technical University in Prague Prague Czech Republic Christian Doppler Laboratory for Software Engineering Integration for Flexible Automation Systems Vienna University of Technology Austria

ISBN: (纸本)9781479978014

automation systems for large-scale industrial plants consist of a large variety of software tools, which should be seamlessly integrated during system runtime. Since the integration of such tools is a time-consuming and error-prone task due to manual setting and copying, an envisioned integration environment should cope with the design-time and configuration as well. This paper proposes the integration of automation system tools covering both the runtime and design-time, which satisfies a service-oriented architecture (SOA). The proposed solution is based on the design pattern for SOA called the enterprise service bus (ESB). The extensions and benefits of ESBs for industrial applications as well as their comparison with traditional multi-agent systems are discussed. The proposed approach utilizes the engineering Service Bus (EngSB), which is an extended implementation of the ESB for facilitating the design of automation systems. The main contribution of the paper is the utilization of the EngSB concepts for the runtime integration of automation system tools.

关键词： automation Runtime Mathematical model Service-oriented architecture MATLAB Knowledge engineering SCADA systems

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Component-based design of simulation models utilizing bond-graph theory 19

Component-based design of simulation models utilizing bond-g...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Novák, Petr Šindelář, Radek Christian Doppler Laboratory for Software Engineering Integration for Flexible Automation Systems Vienna University of Technology Vienna1040 Austria Czech Technical University in Prague Prague16636 Czech Republic

ISBN: (纸本)9783902823625

Simulation models are becoming efficient tools for real plant testing and control system fine-tuning. They are necessary for advanced process control. Since a design phase of simulation models is time-consuming and error-prone, this paper proposes a method for the systematic and semi-automated design of simulation models. It is intended mainly for signal-oriented simulators such as MATLAB-Simulink. The method presumes that large-scale industrial systems consist of subsystems, whose behavior is known. The task for the proposed approach is to create a simulation model from atomic simulation blocks approximating system components. The proposed solution utilizes the bond graph theory in a non-traditional way. Compared to the classical use of bond graphs, the proposed method does not create simulations from scratch, but it re-uses existing simulation components. It extends bond graphs with a concept of component implementations and annotations of their interfaces. Thus, models are assembled from atomic component implementations, whose selection is done by the proposed method for each node of the system topology. © IFAC.

关键词： Graph theory

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Component-Based Design of Simulation Models Utilizing Bond-Graph Theory

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IFAC Proceedings Volumes 2014年第3期47卷 9229-9234页

作者： Petr Novák Radek Šindelář Christian Doppler Laboratory for Software Engineering Integration for Flexible Automation Systems Vienna University of Technology 1040 Vienna Austria Czech Technical University in Prague 16636 Prague Czech Republic

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