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Skills, Technical and Organizational Support Needed for Collaborative Networks 5.0 25th

Skills, Technical and Organizational Support Needed for Coll...

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25th ifip WG 5.5 Working Conference on Virtual Enterprises (PRO-VE)

作者： Carminati, Luca Pirola, Fabiana Lagorio, Alexandra Cimini, Chiara Jurczuk, Arkadiusz Boucher, Xavier Univ Bergamo Dept Informat & Prod Management Engn Dalmine BG Italy Bialystok Tech Univ Bialystok Podlaskie Poland Univ Clermont Auvergne Ctr Ingn & Sante INP Clermont Auvergne CNRSMines St EtienneUMR LIMOS 6158 F-42023 St Etienne France

ISBN: (纸本)9783031717413;9783031717390;9783031717383

The transition to Industry 5.0 has redefined the innovation requirements of organisations, emphasising sustainable, resilient and human-centred dimensions. The fifth industrial revolution also prioritises the co-creation of value within Collaborative Networks (CNs). By bringing together different socio-economic actors, organisations can leverage synergies to drive innovation and address complex global challenges more effectively. To operate efficiently within collaborative networks, a collaborative mindset, supported by specific technical and organisational resources, is essential. This study presents the findings of a European survey that investigated the innovation requirements of organizations transitioning towards Industry 5.0 and the resources necessary for collaborative 5.0 networks. The analysis showed that different regions and sectors have different needs, highlighting the necessity of tailoring approaches to each organisation's context. The results of the study emphasize the urgent requirement for multiple interventions to promote efficient collaboration and innovation in the transition to 5.0 organisations.

关键词： Industry 5.0 Innovation needs Collaboration networks Sustainability Resiliency Human-centred approaches Co-creation Organizational resources Technological Resources

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Simplifying Data Analysis: A Visualization Framework and Practical Application for Complex BEV Data 43rd

Simplifying Data Analysis: A Visualization Framework and Pra...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Niedermayr, Daniel Brunner, Manuel Tripathi, Shailesh Jodlbauer, Herbert Univ Appl Sci Ctr Excellence Smart Prod Upper Austria Wehrgrabengasse 1-3 A-4400 Steyr Austria Univ Appl Sci Josef Ressel Ctr Data Driven Business Model Innov Upper Austria Wehrgrabengasse 1-3 A-4400 Steyr Austria Aix Marseille Univ CRET LOG Ctr Rech Transport & Logist Ave Gaston Berger 413 F-13625 Aix En Provence France

ISBN: (纸本)9783031716355;9783031716331;9783031716324

Effective data visualization for business applications is crucial in extracting meaningful insights from vast amounts of data generated from various sources. However, there is a need for more visualization tools that combine multiple features, such as complexity reduction methods through the principal component analysis with the data analysis method clustering and interactive visualization. The paper discusses the necessity for novel methods to handle complex and high-dimensional data. It proposes an innovative framework for a visualization tool that integrates complexity reduction, analysis methods, figural features, and various output possibilities. The proposed framework is further practically tested with a dataset of battery electric vehicles (BEV) from the German market. Lastly, the implications for research and practice are discussed, and further research avenues are proposed.

关键词： Data visualization visualization framework principal component analysis data clustering complexity reduction battery electric vehicles

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Test Case Features as Hyper-heuristics for Inductive Programming 20th

Test Case Features as Hyper-heuristics for Inductive Program...

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20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： McDaid, Edward McDaid, Sarah Zoea Ltd 20-22 Wenlock Rd London N1 9GU England

ISBN: (纸本)9783031632211;9783031632198;9783031632181

Instruction subsets are heuristics that can reduce the size of the inductive programming search space by tens of orders of magnitude. Comprising many overlapping subsets of different sizes, they serve as predictions of the instructions required to code a solution for any problem. Currently, this approach employs a single, large family of subsets meaning that some problems can search thousands of subsets before a solution is found. In this paper we introduce the use of test case type signatures as hyper-heuristics to select one of many, smaller families of instruction subsets. The type signature for any set of test cases maps directly to a single family and smaller families mean that fewer subsets need to be considered for most problems. Having many families also permits subsets to be reordered to better reflect their relative occurrence in human code - again reducing the search space size for many problems. Overall the new approach can further reduce the size of the inductive programming search space by between 1 and 3 orders of magnitude, depending on the type signature. Larger and more consistent reductions are possible through the use of more sophisticated type systems. The potential use of additional test case features as hyper-heuristics and some other possible future work is also briefly discussed.

关键词： Inductive Programming State Space Search Hyper-heuristics

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Routing Heuristics for in-House Transportation in Assembly Systems 43rd

Routing Heuristics for in-House Transportation in Assembly S...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Adenipekun, Ebenezer Olatunde Limere, Veronique Schmid, Nico Andre Univ Ghent Dept Business Informat & Operat Management Ghent Belgium Flanders Make UGent Core Lab CVAMO Ghent Belgium Univ Lille IESEG Sch Management UMR 9221 LEM Lille Econ ManagementCNRS F-59000 Lille France

ISBN: (纸本)9783031716478;9783031716454;9783031716447

This research addresses routing challenges in high-variety mass customization environments, focusing on in-house transportation problems involving traversal between supermarket cells and consecutive assembly stations. Supermarket cells are organized separately from assembly stations in parallel rows, each cell having a designated pickup point and each assembly station a drop-off point. The routing problem aims to establish an efficient path, starting from the depot and visiting all pickup and drop-off points exactly once before returning. This study introduces a range of heuristic methodologies tailored to address the problem. These heuristics, such as nearest neighbor, S-shape, modified S-shape, and combined heuristics, are characterized by practical implementability, offering practitioners defined guided rules to navigate the shop floor. Artificial problem instances of varying sizes, characterized by the number of cells and pickup/drop-off points, are analyzed, comparing heuristic performance against an optimal benchmark solution. Results indicate that heuristics perform better in larger problem sizes, particularly with 100 rows, showing average gaps below 11.48% and 1.02% for 7-row and 100-row instances, respectively.

关键词： Transportation Manufacturing Heuristics Optimization

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Shrew Distributed Denial-of-Service (DDoS) Attack in IoT Applications: A Survey 6th

Shrew Distributed Denial-of-Service (DDoS) Attack in IoT App...

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6th ifip WG 5.5 International Cross-Domain Conference on Internet of Things

作者： Singh, Harshdeep Baligodugula, Vishnu Vardhan Amsaad, Fathi Wright State Univ 3640 Colonel Glenn Hwy Dayton OH 45435 USA

ISBN: (纸本)9783031458804;9783031458781;9783031458774

With the rise of IoT and cloud computing, DDoS attacks have become increasingly harmful. This paper presents a survey of techniques for detecting and preventing DDoS attacks, specifically focusing on Shrew DDoS or low-rate DDoS attacks. We explore the use of machine learning for DDoS detection and prevention and introduce a new potential technique that simplifies the process of detecting and preventing DDoS attacks originating from multiple infected machines, typically known as zombie machines. As a future direction, we discuss a new technique to simplify the detection and prevention of shrew DoS attacks originating from multiple infected machines, commonly known as botnets. The insights presented in this paper will be valuable for researchers and practitioners in cybersecurity.

关键词： Shrew DoS Low-rate DDoS LDDoS Attack IOT communication security Ns-2

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Benign Paroxysmal Positional Vertigo Disorders Classification Using Eye Tracking Data 1

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20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Nguyen, Thang-Anh-Quan Hashmi, Ehtesham Yamin, Muhammad Mudassar Beghdadi, Azeddine Cheikh, Faouzi Alaya Ullah, Mohib Norwegian Univ Sci & Technol Trondheim Norway Univ Sorbonne Paris Nord Inst Galilee L2TI Villetaneuse France

ISBN: (数字)9783031632150

ISBN: (纸本)9783031632174;9783031632150;9783031632143

Nystagmus is a neurological condition characterized by involuntary and rhythmic eye movements. These abnormal eye movements can be indicative of various underlying neurological and vestibular disorders, impacting visual stability and affecting an individual's perception of their surroundings. Benign Paroxysmal Positional Vertigo (BPPV) is a special case of nystagmus where brief episodes of dizziness are triggered by specific head movements. However, the accurate diagnosis of BPPV still heavily relies on the precise interpretation of nystagmus induced by positional tests, which often require specialized expertise. In this paper, we developed an AI framework that detects and tracks the movement of pupil central and dilation overtime. These time-series data are then classified into different types of nystagmus. In contrast to classical image processing approaches, we employ convolutional neural networks as a baseline and use the averaging of numerous models without incurring extra inference or memory costs. The results from experiments demonstrate that when given the patient's eye video data, our framework is capable of classifying the specific BPPV disorder out of six possible types with an average accuracy of 91% on the publically available challenging and unbalanced dataset.

关键词： Classification Ensemble Neurological Disorder Pupil Tracking Time-data Analysis Video Nystagmography

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Assembly Line Design for Industrialized Electrolyser Production 43rd

Assembly Line Design for Industrialized Electrolyser Product...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Buer, Sven-Vegard Skjelstad, Lars SINTEF Digital Dept Technol Management Oslo Norway SINTEF Digital Dept Technol Management Trondheim Norway

ISBN: (纸本)9783031716478;9783031716454;9783031716447

The electrolyser industry is under rapid development, where manufacturing companies seek opportunities to develop industrialized solutions for electrolyser production. However, electrolyser production implies major logistical challenges related to for instance product characteristics (expensive and fragile components, rare materials), the stack assembly process (precise alignment of cells and pressure), the supply chain (immature, limited supplier base, quality issues, delivery constraints), and the production equipment (immature). Designing a high efficiency electrolyser assembly line is thus a challenging task. This paper presents results of a study with the aim to assess design alternatives for electrolyser stack assembly with focus on logistics and flow efficiency. Design elements such as the number and locations of buffers and quality inspection are considered. A discrete-event simulation model is developed and tested based on scenarios reflecting situations related to for instance poor quality yield of incoming components and equipment downtime. Data from an empirical case involving the design of a new assembly line, are used to set up the model. Based on the findings from the simulations, recommendations for the design of industrialized electrolyser assembly lines are formulated. This study contributes with insight to critical aspects and guidance to design decisions for efficient electrolyser assembly lines. Moreover, it shows how simulation can support assessment of different design alternatives in the development of efficient stack assembly lines.

关键词： factory planning electrolyser stack assembly flow efficiency modelling and simulation

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Designing Augmented Reality Assistance Systems for Operator 5.0 Solutions in Assembly 43rd

Designing Augmented Reality Assistance Systems for Operator ...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Cimini, Chiara Trial, Francesca Lagoriol, Alexandra Mattsson, Sandra Ruppert, Tamas Univ Bergamo Dept Management Informat & Prod Engn Viale Marconi 5 Dalmine Italy RISE Res Inst Sweden Argongatan 30 S-43153 Molndal Sweden Univ Pannonia HUN REN PE Complex Syst Monitoring Res Grp Egyet St 10 Veszprem Hungary

ISBN: (纸本)9783031658969;9783031658945;9783031658938

Industry 5.0 emphasises how technology may benefit humans and marks a move towards a socio-technical paradigm. This study looks at how Augmented Reality (AR) can be integrated into human-centered smart manufacturing systems to improve operator performance, especially when it comes to assembly and disassembly work. Relevant AR applications in manufacturing are found through a methodical assessment of the literature, emphasising the necessity of human-centered design methodologies. The paper then offers basic recommendations for integrating AR systems into manual workstations in an efficient manner with the goal of enhancing operator productivity and welfare. The background, motivation and methods are discussed. The main findings include specific considerations for supporting the AR design in assembly, discussing the relevance of targeting group of users, choicing the suitable devices according to the usability and developing effective instructions.

关键词： Augmented Reality Operator 4.0 Operator 5.0 Assembly

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Web Content Integrity: Tamper-Proof Websites Beyond HTTPS 1

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38th International Conference on information Security and Privacy Protection (SEC)

作者： Zemanek, Sven Tauchert, Sebastian Ufer, Max Jens Bruckschen, Lilli Fraunhofer FKIE Bonn Germany

ISBN: (数字)9783031563263

ISBN: (纸本)9783031563287;9783031563263;9783031563256

We propose Web Content Integrity, a framework that allows a service provider to guarantee the integrity of their static website, even in the face of a compromised web server. Such integrity assurances can then be used to implement a secure end-to-end encryption application built in the form of a website. Our framework encompasses developers, the Domain Name System, and web browsers. To accomplish the integrity guarantees, our framework makes use of an index of queryable URLs and allowed redirects for the website, and publishes the cryptographic hash value of the index in the DNS. Web browsers can then use the information from the DNS to verify that the resources they retrieve from the web server have not been tampered with. The required data structures can be generated automatically, and the framework introduces an initial delay of about 4 ms and a recurring delay for each request of about 2 ms for a sample website.

关键词： Web Security Integrity DNS

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Research Interpretation of Article 14 of the EU AI Act: Human in Command in Manufacturing 43rd

Research Interpretation of Article 14 of the EU AI Act: Huma...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Aschenbrenner, Doris Jantzen, Lisa Colloseus, Cecilia Sell, Andrea Kempen, Regina Hsch Aalen Beethovenstr 1 D-73430 Aalen Germany

ISBN: (纸本)9783031716317;9783031716294;9783031716287

The rapid integration of artificial intelligence (AI) into various sectors necessitates rigorous frameworks to ensure that human oversight remains central, aligning with regulatory requirements such as Article 14 of the European Union's AI Act. This paper introduces the "Human in Command" model, a novel approach designed to foster effective human-AI collaboration, particularly in manufacturing environments. Our model is bifurcated into two primary components: Design4Command and FeelingInCommand. Design4Command outlines a comprehensive set of methodologies for constructing human-AI-teams that emphasize human leadership and decision-making authority, ensuring that AI systems enhance rather than replace human capabilities. FeelingInCommand, on the other hand, presents innovative metrics and tools for assessing the psychological and ergonomic factors impacting humans' perception of control and efficacy when interacting with AI systems. Using this model, organizations can optimize the efficiency and satisfaction of human operators in AI-enhanced settings. This paper details the theoretical underpinnings of our approach, the design principles of our methodologies, and potential applications across various domains, offering a guideline for developers and policymakers aiming to preserve human oversight in the age of AI.

关键词： human in command human-AI-teams human oversight

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