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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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Linking Data Sovereignty and Data Economy: Arising Areas of Tension 17

Linking Data Sovereignty and Data Economy: Arising Areas of ...

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17th International Conference on Wirtschaftsinformatik, WI 2022

作者： Lauf, Florian Scheider, Simon Bartsch, Jan Herrmann, Philipp Radic, Marija Rebbert, Marcel Nemat, André T. Schlueter-Langdon, Christoph Konrad, Ralf Sunyaev, Ali Meister, Sven Fraunhofer Institute for Software and Systems Engineering ISST Healthcare Dortmund Germany TU Dortmund Chair of Industrial Information Management Dortmund Germany Department of Economics and Management Karlsruhe Germany Fraunhofer Center for International Management and Knowledge Economy IMW Corporate Development in International Competition Division Leipzig Germany Witten/Herdecke University Institute for Digital Transformation in Healthcare GmbH Witten Germany T-Systems International GmbH Digital Solutions - Data Intelligence Hub Frankfurt Germany Claremont Graduate University Drucker School of Management Claremont United States KASTEL Security Research Labs Karlsruhe Germany Witten/Herdecke University Faculty of Health School of Medicine Witten Germany

In the emerging information economy, data evolves as an essential asset and personal data in particular is used for data-driven business models. However, companies frequently leverage personal data without considering individuals’ data sovereignty. Therefore, we strive to strengthen individuals’ position in data ecosystems by combining concepts of data sovereignty and data economy. Our research design comprises an approach to design thinking iteratively generating, validating, and refining such concepts. As a result, we identified ten areas of tension that arise when linking data sovereignty and data economy. Subsequently, we propose initial solutions to resolve these tensions and thus contribute to knowledge about the development of fair data ecosystems benefiting both individuals’ sovereignty and companies’ access to data. © 2022 17th International Conference on Wirtschaftsinformatik, WI 2022. All rights reserved.

关键词： Ecosystems

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All roads lead to burning Rome: Towards a conceptual model of it project success 15

All roads lead to burning Rome: Towards a conceptual model o...

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15th International Conference on Business Information systems 2020: Developments, Opportunities and Challenges of Digitization, WIRTSCHAFTSINFORMATIK 2020

作者： Jöhnk, Jan Hartmann, Moritz Urbach, Nils Project Group Business and Information Systems Engineering of Fraunhofer Fit University of Bayreuth Bayreuth Germany University of Bayreuth Bayreuth Germany Fim Research Center University of Bayreuth Bayreuth Germany

ISBN: (纸本)9783955453350

despite the maturity of IT project management in research and practice, a consistent understanding of IT project success (ITPS) and its constituents is still absent. The main objective of this paper is to ascertain the important constructs of ITPS and their interdependencies to overcome the absence of a comprehensive theoretical framework. Based on an initial literature search and six expert interviews, we built and validated a conceptual model consisting of critical success factors, contingency factors, and two success dimensions, whose interdependencies are illustrated by four propositions. Moreover, we extracted 67 critical success factors in ten categories from a structured literature review to harmonize the multitude of success factors stated in literature. The proposed model serves as a starting point for future research, which should focus on the detailed quantitativeempirical investigation of the cause-effect relationships and the contingency factors to validate our propositions and provide a generally accepted theory of ITPS. © Proceedings of the 15th International Conference on Business Information systems 2020 "Developments, Opportunities and Challenges of Digitization", WIRTSCHAFTSINFORMATIK 2020.

关键词： project management

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Developing purposeful ai use cases - A structured method and its application in project management 15

Developing purposeful ai use cases - A structured method and...

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15th International Conference on Business Information systems 2020: Developments, Opportunities and Challenges of Digitization, WIRTSCHAFTSINFORMATIK 2020

作者： Hofmann, Peter Jöhnk, Jan Protschky, Dominik Urbach, Nils Project Group Business and Information Systems Engineering of Fraunhofer Fit University of Bayreuth Bayreuth Germany University of Bayreuth Bayreuth Germany Fim Research Center University of Bayreuth Bayreuth Germany

ISBN: (纸本)9783955453350

An appropriate problem-solution-fit is essential to develop purposeful artificial intelligence (AI) applications. However, in domains with an unintuitive problem-solution-fit, such as project management (PM), organizations require methodological guidance. Hence, we propose a five-step method to develop organization-specific AI use cases: First, companies must consider the context factors technology, organization (in particular data and application domain), and environment. Second, companies must identify existing domain problems and AI solutions. Third, our method facilitates abstraction to understand the underlying nature of the identified problems and AI solutions. Fourth, our problem-solution-matrix assists companies to match AI functions with the domain context. Fifth, companies derive necessary implications for the subsequent use case implementation. To construct and evaluate our method, we followed the design science research paradigm complemented by situational method engineering and based on 14 interviews. Our method addresses a relevant practical problem and contributes to identifying purposeful AI use cases in unintuitive application domains. © Proceedings of the 15th International Conference on Business Information systems 2020 "Developments, Opportunities and Challenges of Digitization", WIRTSCHAFTSINFORMATIK 2020.

关键词： project management

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Automatic seizure detection using the pulse transit time

arXiv

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arXiv 2021年

作者： Fiege, Eric Houta, Salima Bisgin, Pinar Surges, Rainer Howar, Falk Fraunhofer Institute for Software and Systems Engineering Dortmund Germany Department of Epileptology University of Bonn Medical Center Bonn Germany TU Dortmund University Dortmund Germany

Documentation of epileptic seizures plays an essential role in planning medical therapy. Solutions for automated epileptic seizure detection can help improve the current problem of incomplete and erroneous manual documentation of epileptic seizures. In recent years, a number of wearable sensors have been tested for this purpose. However, detecting seizures with subtle symptoms remains difficult and current solutions tend to have a high false alarm rate. Seizures can also affect the patient’s arterial blood pressure, which has not yet been studied for detection with sensors. The pulse transit time (PTT) provides a noninvasive estimate of arterial blood pressure. It can be obtained by using to two sensors, which are measuring the time differences between arrivals of the pulse waves. Due to separated time chips a clock drift emerges, which is strongly influencing the PTT. In this work, we present an algorithm which responds to alterations in the PTT, considering the clock drift and enabling the noninvasive monitoring of blood pressure alterations using separated sensors. Furthermore we investigated whether seizures can be detected using the PTT. Our results indicate that using the algorithm, it is possible to detect seizures with a Random Forest. Using the PTT along with other signals in a multimodal approach, the detection of seizures with subtle symptoms could thereby be improved. © 2021, CC BY.

关键词： Neurophysiology

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Fairness, integrity, and privacy in a scalable Blockchain-based federated learning system

arXiv

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arXiv 2021年

作者： Rückel, Timon Sedlmeir, Johannes Hofmann, Peter University of Bayreuth Bayreuth Germany FIM Research Center University of Bayreuth Bayreuth Germany Project Group Business & Information Systems Engineering of the Fraunhofer FIT Bayreuth Germany

Federated machine learning (FL) allows to collectively train models on sensitive data as only the clients’ models and not their training data need to be shared. However, despite the attention that research on FL has drawn, the concept still lacks broad adoption in practice. One of the key reasons is the great challenge to implement FL systems that simultaneously achieve fairness, integrity, and privacy preservation for all participating clients. To contribute to solving this issue, our paper suggests a FL system that incorporates blockchain technology, local differential privacy, and zero-knowledge proofs. Our implementation of a proof-of-concept with multiple linear regression illustrates that these state-of-the-art technologies can be combined to a FL system that aligns economic incentives, trust, and confidentiality requirements in a scalable and transparent *** Codes 68T01, 68M14 © 2021, CC BY-NC-ND.

关键词： Blockchain

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Capabilities and Skills in Manufacturing: A Survey Over the Last Decade of ETFA

arXiv

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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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The Effect of Real-Time Feedback on Indoor Environmental Quality 15

The Effect of Real-Time Feedback on Indoor Environmental Qua...

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15th International Conference on Business Information systems 2020: Developments, Opportunities and Challenges of Digitization, WIRTSCHAFTSINFORMATIK 2020

作者： Bitomsky, Laura Meindl, Oliver Schmidt, Marco Regal, Christian Fim Research Center University of Augsburg Germany Faculty of Computer Science Augsburg University of Applied Sciences Augsburg Germany Fraunhofer Project Group Business and Information Systems Engineering Augsburg Germany

ISBN: (纸本)9783955453350

Due to improved insulation, decreasing indoor environmental quality (IEQ) is an emerging issue in the design of sustainable and energy-efficient buildings. Poor IEQ has severe long-term implications for the occupants' health. Manual airing is a promising energy-efficient solution to combine good insulation and healthy IEQ. However, occupants' behavior is crucial for its effectiveness. Digital nudging can help to influence people's behavior, e.g., by means of giving feedback. We conduct a field experiment over four weeks, in which we provide real-time IEQ feedback to nudge occupants towards opening the windows. We find a significant improvement in IEQ for offices in the treatment group, but also see that the nudge's effectiveness reduces over time, possibly as a result of habituation. This experiment paves the way for further studies examining the design of nudges towards improving IEQ. © Proceedings of the 15th International Conference on Business Information systems 2020 "Developments, Opportunities and Challenges of Digitization", WIRTSCHAFTSINFORMATIK 2020.

关键词： Energy efficiency

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Energy Anomaly Detection in Industrial Applications with Long Short-term Memory-based Autoencoders

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Procedia CIRP 2021年 104卷 182-187页

作者： Can Kaymakci Simon Wenninger Alexander Sauer Fraunhofer Institute for Manufacturing Engineering and Automation IPA Nobelstrasse 12 70569 Stuttgart Germany Institute for Energy Efficiency in Production University of Stuttgart FIM Research Center University of Applied Sciences Augsburg Project Group Business & Information Systems Engineering of the Fraunhofer FIT Universitätsstr. 12 Augsburg 86159 Germany

With the goal of reducing energy costs, carbon emissions, and achieving cleaner production, manufacturing companies aim to reduce their energy consumption. In manufacturing companies, a considerable amount of energy is wasted due to plant-, process- and human-related faults. Tools and methods for detecting anomalies are widely used for fraud detection in finance or intrusion detection in cybersecurity. When it comes to anomaly detection of malicious energy consumption, the residential building sector is leading. Industrial applications are not being addressed by now. In this paper, an end-to-end solution of an anomaly detection system is presented that uses the concept of a Long Short-term Memory based Autoencoder (LSTM-AE) as an unsupervised learning model that detects anomalies without labeling the data beforehand.

关键词： Anomaly detection Long-Short-Term-Memory Autoencoder Energy consumption AI in manufacturing systems

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Digitisation along the patient pathway in hospitals 27

Digitisation along the patient pathway in hospitals

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27th European Conference on Information systems: Information systems for a Sharing Society, ECIS 2019

作者： Hufnagl, Christine Doctor, Eileen Behrens, Laura Buck, Christoph Eymann, Torsten University of Applied Sciences Ingolstadt Ingolstadt Germany FIM Research Center University of Bayreuth Project Group Business and Information Systems Engineering of the Fraunhofer FIT Bayreuth Germany University of Bayreuth Bayreuth Germany

ISBN: (纸本)9781733632508

The European health care system faces massive challenges due to different influences such as an aging population, multi-morbidity and an innovation-sceptical industry. Above all, hospitals are in the focus of interest, given their central importance and networking of the supply system. Due to a lower availability of resources, but at the same time increasing demands and expectations on the quality of care, hospitals are under particular pressure to optimise. Digital technologies and information systems promise valuable potential along the patient pathway with regard to increasing efficiency and improving the quality of care. This paper provides a structured literature review on the digitisation of the patient's pathway and closes the research gap to a holistic view. As part of a quantitative empirical research study, 130 German hospitals were surveyed regarding their digital potential. Therefore, a cross-sectional study was conducted to assess the current state of digital documentation and communication, as well as the identification of digitisation and integration in hospitals. The study shows interesting results regarding digital potentials, particularly concerning the internal and external communication of hospitals. © 27th European Conference on Information systems - Information systems for a Sharing Society, ECIS 2019. All rights reserved.

关键词： Hospitals

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