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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Kai Schenkelberg Ulrich Seidenberg Fazel Ansari Chair of Production and Logistics Management University of Siegen Siegen Germany Research Group of Smart & Knowledge-Based Maintenance Institute of Management Science TU Wien Vienna Austria

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

Proper maintenance of Cyber Physical Production systems (CPPS) has gained much more attention in the era of Industry 4.0. Selecting and implementing an optimal maintenance policy is a complex task and thus largely discussed in literature. Maintenance management has to consider all specific conditions and restrictions of an enterprise in order to identify the most suitable policy for a production system. Due to the fact that analytical approaches strongly rely on availability and quality of data, which is missing in various industrial use-cases, several studies prefer simulation-based optimization. Nevertheless, almost all data-driven and simulation-based models do not take long-term economic indicators such as profitability into account. This paper provides a simulation-based model, which enhances maintenance policy selection process with the aim to improve profitability. As a proof of concept, the model is applied in a real-world use case scenario and further research pathways on combining simulation-based and data-driven approaches are outlined.

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An approach for modeling spatial prepositions with RDF reification and blank nodes based on the environment perception of a simulated mobile robot 61

An approach for modeling spatial prepositions with RDF reifi...

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61st IEEE International Midwest Symposium on Circuits and systems, MWSCAS 2018

作者： Mohammed Saeed, Nazeer T. Weber, Christian Fathi, Madjid Kuhnert, Klaus-Dieter Institute of Real-Time Learning Systems Institute of Knowledge Based Systems and Knowledge Management University of Siegen Siegen Germany

ISBN: (纸本)9781538673928

Today, thanks to the advancement of robotics and the achievements that are made in the light of the development of automated and intelligent technologies, we are increasingly witnessing the arrival of robotic devices and machines into different areas of human life. With all of the achievements and their intelligence, the degree of their proficiency relies in many cases on their ability to interact with human beings. To do so, for a mobile robot the ability to understand its surroundings and also to describe it in a way that human can easily understand is vitally important. "Above", "below", "in front of", "behind of", "left of" and "right to" are prepositions that human uses in daily life to describe not only the relationship between objects but also to provide one's location implicitly. The Resource Description Framework, RDF, as one of the semantic web core components, can be employed for forming those prepositions. The idea is to utilize a smart sensor of a simulated, mobile robot for creating semantic information in RDF format that represents inter-object relations by using the same spatial prepositions that human uses in his daily life to describe his environment. © 2018 IEEE

关键词： Mobile robots

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On-Line Conference (ONCON), Industrial Electronics Society Annual

作者： Alexandru-Ionel Constantin Dorian Marin Paula Anghelita Ioan Tiberiu Serban Cristian Morari Gabriela Iosif Laboratory of Photovoltaic Systems National Institute for Research and Development in Electrical Engineering ICPE-CA University POLITEHNICA of Bucharest Romania Laboratory of Photovoltaic Systems National Institute for Research and Development in Electrical Engineering ICPE-CA Bucharest Romania Faculty of Power Engineering University POLITEHNICA of Bucharest National Institute for Research and Development in Electrical Engineering ICPE-CA Bucharest Romania Laboratory of Electromagnetic Compatibility National Institute for Research and Development in Electrical Engineering ICPE-CA Bucharest Romania Office of Management for Knowledge and Information National Institute for Research and Development in Electrical Engineering ICPE-CA Bucharest Romania

The paper presents a case study related to the maintenance and on-site detection of faulty photovoltaic (PV) panels in a 14 years old on-grid system with a peak power of 17.82 kW from the National institute for Research and Development for Energy (INCDE ICEMENERG Bucharest) using a thermal camera, followed by the on-site measurement of the output power of a healthy and some PV panels with faults (hot spots and bypass activated diode) by Current-Voltage (I-V) and Power-Voltage (P-V) curves using an HT I-V 400. Laboratory tests were performed at Standard Test Condition (STC) at the National institute for Research and Development in Electrical Engineering ICPE-CA, Laboratory of Photovoltaic systems using a PASAN Highlight Solar Simulator for the same PV panels and also electroluminescence tests were performed in order to determine the cause of the faults. based on the results some panels can be repaired or changed with new ones in order to increase the PV system efficiency.

关键词： Photovoltaic systems Industrial electronics Power measurement Europe Energy measurement Production Maintenance engineering

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Mapping Usability Heuristics to Medical Ethical Principles in Clinical Decision Support Design

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Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2021年第1期10卷 54 - 58页

作者： Tim Arnold Helen J.A. Fuller Scott D. Wood Human Factors Engineering Clinical Informatics and Data Management Office of Health Informatics Veterans Health Administration Washington DC USAUniversity of Michigan College of Pharmacy Ann Arbor USA Human Factors Engineering Clinical Informatics and Data Management Office of Health Informatics Veterans Health Administration Washington DC USA Knowledge Based Systems Clinical Informatics and Data Management Office of Health Informatics Veterans Health Administration Washington DC USA

Human factors professionals voice concerns about the slow and uneven adoption of human-centered design (HCD) principles in healthcare. With good intentions and best efforts, human factors work in healthcare continues, but to understand and to be understood we must share a language that speaks to one another. One way to facilitate this understanding is by bringing attention to how we talk about decision-making approaches in medical ethics and HCD. Both disciplines suggest efforts should be participatory, guided by a set of principles applied thoughtfully, with critical consideration to context and trade-offs. Considering the connections between usability heuristics for design and medical ethical principles may offer a bridge between disciplines and their associated dialects. In this paper, we provide three representations mapping ethical principles to design principles, including usability heuristics: a word tree visualization, narrative passages, and a table format. We believe this mapping demonstrates both that ethical design is inherently human-centric and that human-centered design is ethical design.

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Probabilistic active learning for active class selection

arXiv

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arXiv 2021年

作者： Kottke, Daniel Krempl, Georg Stecklina, Marianne Rekowski, Cornelius Styp von Sabsch, Tim Minh, Tuan Pham Deliano, Matthias Spiliopoulou, Myra Sick, Bernhard Intelligent Embedded Systems University Kassel Germany Knowledge Management & Discovery University Magdeburg Germany University Magdeburg Germany Leibniz Institute for Neurobiology Magdeburg Germany KMD Group University Magdeburg Magdeburg Germany IES Group University of Kassel Germany

In machine learning, active class selection (ACS) algorithms aim to actively select a class and ask the oracle to provide an instance for that class to optimize a classifier’s performance while minimizing the number of requests. In this paper, we propose a new algorithm (PAL-ACS) that transforms the ACS problem into an active learning task by introducing pseudo instances. These are used to estimate the usefulness of an upcoming instance for each class using the performance gain model from probabilistic active learning. Our experimental evaluation (on synthetic and real data) shows the advantages of our algorithm compared to state-of-the-art algorithms. It effectively prefers the sampling of difficult classes and thereby improves the classification performance. © 2021, CC BY.

关键词： Learning algorithms

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Simulation and Field Testing of Multiple Vehicles Collision Avoidance Algorithms

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 1045-1063页

作者： Chaoyue Zu Chao Yang Jian Wang Wenbin Gao Dongpu Cao Fei-Yue Wang the College of Computer Science and Technology Jilin UniversityChangchun 130012China Jiangsu XCMG Construction Machinery Research Institute Ltd. Xuzhou 221004China the College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of EducationJilin UniversityChangchun 130012 Chongqing Xibu Automobile Proving Ground Management Co.Ltd. Chongqing 404100China the State Grid JIBEI Electric Power Company Limited Management Training Center China the Advanced Vehicle Engineering Center Cranfield UniversityCranfield MK430ALUK the State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

A global planning algorithm for intelligent vehicles is designed based on the A* algorithm, which provides intelligent vehicles with a global path towards their destinations. A distributed real-time multiple vehicle collision avoidance(MVCA)algorithm is proposed by extending the reciprocal n-body collision avoidance method. MVCA enables the intelligent vehicles to choose their destinations and control inputs independently,without needing to negotiate with each other or with the coordinator. Compared to the centralized trajectory-planning algorithm, MVCA reduces computation costs and greatly improves the robustness of the system. Because the destination of each intelligent vehicle can be regarded as private, which can be protected by MVCA, at the same time MVCA can provide a real-time trajectory planning for intelligent vehicles. Therefore,MVCA can better improve the safety of intelligent vehicles. The simulation was conducted in MATLAB, including crossroads scene simulation and circular exchange position simulation. The results show that MVCA behaves safely and reliably. The effects of latency and packet loss on MVCA are also statistically investigated through theoretically formulating broadcasting process based on one-dimensional Markov chain. The results uncover that the tolerant delay should not exceed the half of deciding cycle of trajectory planning, and shortening the sending interval could alleviate the negative effects caused by the packet loss to an extent. The cases of short delay(< 100100 ms) and low packet loss(< 5%) can bring little influence to those trajectory planning algorithms that only depend on V2 V to sense the context, but the unpredictable collision may occur if the delay and packet loss are further worsened. The MVCA was also tested by a real intelligent vehicle, the test results prove the operability of MVCA.

关键词： Collision avoidance intelligent vehicles intervehicle communication simulation testing trajectory planning

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Correction: Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda

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Information Technology and management 2024年第2期26卷 271-271页

作者： Heimberger, Heidi Horvat, Djerdj Schultmann, Frank Business Unit Industrial Change and New Business Models Competence Center Innovation and Knowledge Economy Fraunhofer Institute for Systems and Innovation Research ISI Karlsruhe Germany Karlsruhe Institute for Technology KIT Institute for Industrial Production (IIP) - Chair of Business Administration Production and Operations Management Karlsruhe Germany

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Big data analytics in smart mobility: Modeling and analysis of the Aarhus smart city dataset 1

Big data analytics in smart mobility: Modeling and analysis ...

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1st IEEE International Conference on Industrial Cyber-Physical systems, ICPS 2018

作者： Zenkert, Johannes Dornhofer, Mareike Weber, Christian Ngoukam, Charly Fathi, Madjid University of Siegen Institute of Knowledge Based Systems and Knowledge Management Department of Electrical Engineering and Computer Science Germany

ISBN: (纸本)9781538665312

A smart city is a modern and visionary approach for a city to provide intelligent and smart urban services by using information and communication technologies (ICT). The Internet of Things (IoT), emerging through intelligent networking and sensing technologies, is seen as the data-driven enabler for smart cities with current and future infrastructures. The Open Data Aarhus datasets have been created from sensor data in the city Aarhus in Denmark. This paper presents how big data technologies in the context of smart cities are used to implement a framework with a prototype R Shiny application to analyze road traffic and pollution data to make a step towards smart mobility. The main objective of the approach is the calculation and visualization of the least polluted route from a chosen start to an end point by applying an algorithm utilizing the MapReduce framework running on a Hadoop cluster. © 2018 IEEE.

关键词： MapReduce

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A Blockchain Cloud Computing Middleware for Academic Manuscript Submission

arXiv

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arXiv 2022年

作者： Gazis, Alexandros Anagnostakis, Giwrgos Kourmpetis, Stavros Katsiri, Eleftheria Democritus University of Thrace School of Engineering Department of Electrical and Computer Engineering Xanthi67100 Greece University of Piraeus School of Information and Communication Technologies Department of Informatics Piraeus18534 Greece National and Kapodistrian University of Athens School of Law Department of Law Athens10679 Greece Institute for the Management of Information Systems Athena Research & Innovation Center in Information Communication & Knowledge Technologies Marousi15125 Greece

One of the most important tasks in scientific publishing is the articles' evaluation via the editorial board and the reviewers' community. Additionally, in scientific publishing great concern exists regarding the peer-review process and how it can be further optimised to decrease the time from submission to the first decision, as well as increase the objectivity of the reviewers' remarks ensuring that no bias or human error exists in the reviewing process. In order to address this issue, our article suggests a novice cloud framework for manuscript submission based on blockchain technology that further enhances the anonymity between authors and reviewers alike. Our method covers the whole spectrum of current submission systems capabilities, but it also provides a decentralised solution using open-source tools such as Java Spring that enhance the anonymity of the reviewing process. © 2022, CC BY.

关键词： Blockchain

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ICDOI-The use of “knowledge Discovery from Text” to analyze the inner-city distribution of interests over time

ICDOI-The use of “Knowledge Discovery from Text” to analyz...

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IEEE International Smart Cities Conference (ISC2)

作者： André Klahold Madjid Fathi Johannes Zenkert Institute of Knowledge Based Systems University of Siegen Siegen Germany

The ICDOI (“Inner-City Distribution of Interest”) procedure described in this paper uses “knowledge Discovery from Text” to identify thematic focuses and trends from texts written in different locations in a city.... 详细信息

ISBN: (数字)9781728108469

ISBN: (纸本)9781728108476

关键词： Clustering algorithms knowledge discovery Semantics knowledge based systems Market research Twitter

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