Procedia Computer Science最新文献_第2页

Circular Data Service Cards: A Card-Based Ideation Tool For Data Services Supporting The Twin Transition

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.01.150

Gert Breitfuss , Lilia Yang , Viktoria Pammer-Schindler , Leonie Disch

{"title":"Circular Data Service Cards: A Card-Based Ideation Tool For Data Services Supporting The Twin Transition","authors":"Gert Breitfuss , Lilia Yang , Viktoria Pammer-Schindler , Leonie Disch","doi":"10.1016/j.procs.2025.01.150","DOIUrl":"10.1016/j.procs.2025.01.150","url":null,"abstract":"<div><div>The Twin Transition encompasses the progression of both digital and green transformations. The integration of data science, data analytics, and data services with Industry 4.0 principles significantly enhances the operational efficiency, decision-making, and sustainability of manufacturing systems. In the context of green transformation, Circular Economy (CE) business models aim to optimize resource use and reduce environmental impact. The development of data services and the application of artificial intelligence (AI) are essential for CE, as these technologies improve efficiency, traceability, and resource optimization. This paper presents the development process of the Circular Data Service Cards (DSC), an extension card set (20 newly designed cards, one new category) to the existing Data Service Cards (50 cards, grouped into 5 categories) to assist the co-creation process in developing data services that support the circular economy. The cards address the challenges of interdisciplinary collaboration (user-centered service design, data science and circular economy) and varying expertise levels essential for building a circular data-driven business. Alongside the developed sub-categories (new cards), the outcomes of this study provide a valuable enhancement of the existing DSC. Initial evaluation results indicate that the Circular DSC are perceived as both useful and user-friendly. This research contributes to the twin transition by providing an actionable tool to support the digital transformation and the development of circular data-driven services.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 882-891"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Game-based learning for industrial maintenance: a Unity 3D educational game of compressed air system training

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.01.140

Birkan Işık , Gülbahar Emir Işık , Miroslav Zilka

{"title":"Game-based learning for industrial maintenance: a Unity 3D educational game of compressed air system training","authors":"Birkan Işık , Gülbahar Emir Işık , Miroslav Zilka","doi":"10.1016/j.procs.2025.01.140","DOIUrl":"10.1016/j.procs.2025.01.140","url":null,"abstract":"<div><div>This research introduces an innovative approach to industrial maintenance training by developing an interactive game using an interactive game developed with the Unity 3D engine and extended reality technologies. The game simulates the compressed air system maintenance, aiming to improve technicians’ practical skills and safety awareness through immersive, realistic scenarios. Leveraging Unity 3D’s advanced graphical and physics capabilities, it creates an engaging environment where participants interact with dynamic modules, enhancing decision-making, problem-solving, and analytical thinking. Gameplay involves guiding participants through the compressed air systems maintenance process with realistic controls that respond dynamically to user inputs, thereby allowing technicians to refine technical skills with a strong emphasis on safety. Performance is evaluated based on safety compliance and technical accuracy, demonstrating the value of game-based learning in technical education. This study highlights the potential of game-based learning within Industry 5.0, promoting lifelong learning and preparing professionals for future industrial challenges.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 784-793"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A neural network approach for collaborative cells: an innovative online rescheduling strategy for maximizing productivity

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.01.103

Irene Granata , Matthias Bues , Martina Calzavara , Maurizio Faccio , Benjamin Wingert

引用次数: 0

Company perspectives of generative artificial intelligence in industrial work

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.01.085

Susanna Aromaa , Päivi Heikkilä , Marko Jurvansuu , Selen Pehlivan , Teijo Väärä , Marko Jurmu

{"title":"Company perspectives of generative artificial intelligence in industrial work","authors":"Susanna Aromaa , Päivi Heikkilä , Marko Jurvansuu , Selen Pehlivan , Teijo Väärä , Marko Jurmu","doi":"10.1016/j.procs.2025.01.085","DOIUrl":"10.1016/j.procs.2025.01.085","url":null,"abstract":"<div><div>The use of artificial intelligence (AI) technologies in the manufacturing industry is rapidly increasing. During this transformation, it can be difficult to understand how AI will change the way work is done. This study explores how generative AI could change manufacturing work. Data collection was conducted using interviews and a questionnaire with seven representatives from three industrial companies. They identified several application areas for GenAI in the industrial work context, such as design, planning, training, problem solving, coding and data management. They also expressed positive attitudes but raised concerns about trust, safety, acceptability and interoperability. Changes in work were identified as being more related to cognitive aspects such as changing the way of thinking and altering the interaction with people and machines. Therefore, human-AI design efforts should focus especially on cognitive ergonomics. Findings from this study can be used in the manufacturing industry when adopting AI, as well as in identifying research topics in the human-AI research community.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 217-226"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comparison of Educational Perspectives on VDI 2221 and Axiomatic Design

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.01.073

Patrick Kröpfl , Christian Landschützer , Hannes Hick , Wajih Haider Awan , Christopher A. Brown

{"title":"A Comparison of Educational Perspectives on VDI 2221 and Axiomatic Design","authors":"Patrick Kröpfl , Christian Landschützer , Hannes Hick , Wajih Haider Awan , Christopher A. Brown","doi":"10.1016/j.procs.2025.01.073","DOIUrl":"10.1016/j.procs.2025.01.073","url":null,"abstract":"<div><div>Engineering design methods play a crucial role in both academia and industry. These systematic approaches facilitate product and system development, allowing for innovative solutions and refinements. Specifically, this paper will compare two common engineering design methods Axiomatic Design (AD) and VDI 2221 in terms of their application in teaching and their transferability to industry, especially for small and medium-sized enterprises (SMEs). Firstly, a quantitative comparison of the two methods will be conducted. Comparative factors will include scope, accessibility, required prior knowledge, and the availability of tools for each method. Following this, insights from teaching experiences at the Technical University of Graz and Worcester Polytechnic Institute (WPI) will be discussed, focusing on the teachability of the methods. This will provide insights into the effectiveness and suitability of the methods for higher education. The transfer potential of the methods to SMEs will be derived from these. Finally, the findings and improvement potential will be summarized, and possibilities for the knowledge transfer of engineering design methods to SMEs will be formulated.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 94-103"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating Chipless RFID Technology to Provide Seamless Data Interoperability for Textile Industry Circularity

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.01.101

Maximilian Scholz, Omid Fatahi Valilai

{"title":"Integrating Chipless RFID Technology to Provide Seamless Data Interoperability for Textile Industry Circularity","authors":"Maximilian Scholz, Omid Fatahi Valilai","doi":"10.1016/j.procs.2025.01.101","DOIUrl":"10.1016/j.procs.2025.01.101","url":null,"abstract":"<div><div>The textile industry faces tremendous challenges when it comes to waste management and recycling. The current methods for textile companies and drop-off centres for sorting the textiles for recycling is largely through manual labour, which is inefficient and involves high costs. The bottleneck due to slow process for visual inspection creates bottlenecks for effective sorting. One idea to solve this problem is to use an embedded data mechanism in textile tags via radio frequency identification (RFID) chips. Considering the requirements of recycling processes, there is an essential need for RFID technologies which are compatible with recyclability of textile processes. Therefore, the need and demand for a sustainable solution for traceability and recycling via chipless RFID technologies is highly motivated. Moreover, the technology should be economically viable for industries for adoption. This study explores a new technological concept that offers a solution for the current problem of creating a circular economy in the textile industry with traceability of data. So, the study focuses on analysing how chipless RFID technology may be integrated into textiles with 3D printing technology. The research investigates 3D printing technology for providing the ability to create a fast, inexpensive, and detailed chipless RFID labelling solution for textile materials. Finally, the paper investigates the consumer populations readiness to adopt the technology by identifying pain points and outlining the integration of this technology into the textile industry.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 393-402"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of Material Fatigue Testing Strategies regarding Failure-Free Load Level of Steel Specimens using Bootstrapping and Statistical Models

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.01.095

Nikolaus Haselgruber , Gerhard Oertelt , Kristopher Boss

{"title":"Comparison of Material Fatigue Testing Strategies regarding Failure-Free Load Level of Steel Specimens using Bootstrapping and Statistical Models","authors":"Nikolaus Haselgruber , Gerhard Oertelt , Kristopher Boss","doi":"10.1016/j.procs.2025.01.095","DOIUrl":"10.1016/j.procs.2025.01.095","url":null,"abstract":"<div><div>The analysis of material fatigue data is an important step in the development of complex technical products to achieve a design which reliably withstands field load but avoids over-engineered and further unnecessary weight, energy consumption, and consequently, life cycle costs. The application of statistical methods helps to consider both, the variability of real-world load situations and the variability of material load capacity. However, to provide effective and accurate results, not only analysis methods but also data generation techniques should be selected with care. In this paper, we compare several material fatigue evaluation strategies, all consisting of a data generation/test part and an analysis part. E.g., stair-case, load-step and pearl-string as test procedures and Dixon-Mood analysis, lifetime-stress regression or the random fatigue limit model as analysis methods are investigated. The sensitivity on parameters which have to be set and the accuracy regarding load capacity as well as the required testing effort are compared. Load-step provides the most accurate estimation of the failure-free load level but is the most expensive method. Pearl-string and DoE provide similar results with much less effort and moderately higher uncertainty compared to load-step.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 323-335"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards AI-enhanced process planning: assessing machine tool capability based on part design

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.01.122

Sepideh Abolghasem , Matthew Youssef , Faruk Abedrabbo , Amman Pandde

{"title":"Towards AI-enhanced process planning: assessing machine tool capability based on part design","authors":"Sepideh Abolghasem , Matthew Youssef , Faruk Abedrabbo , Amman Pandde","doi":"10.1016/j.procs.2025.01.122","DOIUrl":"10.1016/j.procs.2025.01.122","url":null,"abstract":"<div><div>The emergence of the fourth industrial revolution, or Industry 4.0, necessitates a more automated approach to manufacturing process planning. This process begins with evaluating machine tool capabilities to handle specific part geometries and microstructures. Once a match is established, the focus shifts to developing an efficient method for converting design elements into physical components. This work aims to create and validate a framework that assesses the manufacturability of design features based on the available machinery and materials. Specifically, it involves classifying manufacturing processes, such as turning and milling, for a given part design geometry. To achieve this, feature attributes like rotational symmetry and D2 distribution are calculated for a dataset used to train a decision tree. This model then suggests the appropriate manufacturing process for a given CAD model. The decision tree is validated with a separate dataset, showing reasonable accuracy. Ultimately, the goal is to enhance process planning, ensuring the seamless translation of designs into physical products, with a particular emphasis on geometry, microstructure, and cost.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"253 ","pages":"Pages 603-611"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sovereignty in Automated Stroke Prediction and Recommendation System with Explanations and Semantic Reasoning

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.079

Ayan Chatterjee

{"title":"Sovereignty in Automated Stroke Prediction and Recommendation System with Explanations and Semantic Reasoning","authors":"Ayan Chatterjee","doi":"10.1016/j.procs.2025.02.079","DOIUrl":"10.1016/j.procs.2025.02.079","url":null,"abstract":"<div><div>Personalized approaches are required for stroke management due to the variability in symptoms, triggers, and patient characteristics. An innovative stroke recommendation system that integrates automatic predictive analysis with semantic knowledge to provide personalized recommendations for stroke management is proposed by this paper. Stroke exacerbation are predicted and the recommendations are enhanced by the system, which leverages automatic Tree-based Pipeline Optimization Tool <strong>(TPOT)</strong> and semantic knowledge represented in an <strong>OWL Ontology (StrokeOnto). Digital sovereignty</strong> is addressed by ensuring the secure and autonomous control over patient data, supporting data sovereignty and compliance with jurisdictional data privacy laws. Furthermore, classifications are explained with Local Interpretable Model-Agnostic Explanations <strong>(LIME)</strong> to identify feature importance. Tailored interventions based on individual patient profiles are provided by this conceptual model, aiming to improve stroke management. The proposed model has been verified using public stroke dataset, and the same dataset has been utilized to support ontology development and verification. In TPOT, the best <strong>Variance Threshold + DecisionTree Classifier</strong> pipeline has outperformed other supervised machine learning models with an accuracy of <strong>95.2%,</strong> for the used datasets. The Variance Threshold method reduces feature dimensionality with variance below a specified threshold of 0.1 to enhance predictive accuracy. To implement and evaluate the proposed model in clinical settings, further development and validation with more diverse and robust datasets are required.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"254 ","pages":"Pages 201-210"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neoteric Threat Intelligence Ensuring Digital Sovereignty and Trust through ML-Infused Proactive Defense Analytics for NEXT-G and Beyond Ecosystems

Procedia Computer Science Pub Date : 2025-01-01 DOI: 10.1016/j.procs.2025.02.062

Sudhakar Kumar , Sunil K. Singh , Rakesh Kumar , Chandra Kumari Subba , Kwok Tai Chui , Brij B. Gupta

{"title":"Neoteric Threat Intelligence Ensuring Digital Sovereignty and Trust through ML-Infused Proactive Defense Analytics for NEXT-G and Beyond Ecosystems","authors":"Sudhakar Kumar , Sunil K. Singh , Rakesh Kumar , Chandra Kumari Subba , Kwok Tai Chui , Brij B. Gupta","doi":"10.1016/j.procs.2025.02.062","DOIUrl":"10.1016/j.procs.2025.02.062","url":null,"abstract":"<div><div>In the domain of Cyber-Physical Systems (CPS) and the Internet of Things (IoT), this research presents a novel approach to Neoteric Threat Intelligence ensuring Digital Sovereignty and Trust through ML-Infused Proactive Defense Analytics for NEXT-G and Beyond Ecosystems. As Sixth Generation and Beyond (6G and B) wireless networks undergo rapid evolution, our framework is designed to proactively anticipate and counter security incidents by utilizing advanced machine learning algorithms. This approach effectively addresses the shortcomings of conventional models, ensuring that digital assets and communications remain secure, trustworthy, and under rightful control. The study delves into the theoretical integration of this paradigm within the NextG network architecture, reinforcing digital sovereignty through a dynamic and adaptable defense mechanism. In-depth technical examinations include advanced machine learning algorithms, adaptive defenses, and scalability considerations. By critically analyzing and comparing existing security approaches, this study significantly advances technical knowledge and practical applications for wireless network security, supporting defenses against the evolving and complex threats characteristic of the 6G and Beyond era.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"254 ","pages":"Pages 39-47"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0