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UWB System for Frequent Positioning of Moving Objects 21st

UWB System for Frequent Positioning of Moving Objects

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21st European, Mediterranean, and Middle Eastern Conference on information Systems

作者： Paszek, Krzysztof Silesian Tech Univ Fac Automat Control Elect & Comp Sci Dept Telecommun & Teleinformat Akad 16 PL-44100 Gliwice Poland

ISBN: (纸本)9783031813214;9783031813221

Object positioning is an essential issue in the context of autonomous vehicles and AGVs in Industry 4.0 and smart cities. Based on the position, it is possible not only to track objects, but with appropriate positions' accuracy and frequency, it is possible to prevent dangerous situations. The information about the possibility of a dangerous situation must be available in advance so that the superior system, driver, or operator can take the appropriate action. A UWB is a promising technology for object positioning, even though UWB systems are used for positioning objects in a limited area, mostly indoors. Nothing stands in the way of creating many small areas in high-risk areas, e.g. intersections and manoeuvring yards. This ultra-wideband technology allows to objects positioning with high accuracy of a few centimeters. However, the accuracy of this system depends on the speed of movement of the positioned objects and the ranging frequency to individual stationary reference nodes - anchors. Therefore, it is important to exchange messages in the network of UWB nodes during ranging runs as quickly as possible. This article analyses the modified UWB positioning system, which maximizes the frequency of acquiring the distance between nodes and, thus the frequency of determining the object's positions.

关键词： UWB Positioning TWR

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Intelligent Cyber Defense: Leveraging LLMs for Real-Time Threat Detection and Analysis 21st

Intelligent Cyber Defense: Leveraging LLMs for Real-Time Thr...

引用

21st European, Mediterranean, and Middle Eastern Conference on information Systems

作者： Kakoulli, Elena Zacharioudakis, Eleftherios Evripidou, Salomi Neapolis Univ Pafos Dept Comp Sci Intelligent Syst Lab Pafos Cyprus Cyprus Univ Technol Elect Engn & Comp Engn & Informat Limassol Cyprus Natl Tech Univ Ukraine Igor Sikorsky Kyiv Polytech Inst Kyiv Ukraine

ISBN: (纸本)9783031813214;9783031813221

This paper reviews the application of Large Language Models (LLMs) in addressing the growing sophistication of cybersecurity threats. By evaluating numerous studies, we delineate the role of LLMs in improving the detection, analysis, and response to cyber threats in real-time. Our findings demonstrate that LLMs significantly enhance the efficiency and accuracy of cybersecurity measures compared to traditional models. However, their deployment in cybersecurity frameworks involves critical considerations around ethics, privacy, and security. This review provides a succinct overview of LLMs' current capabilities and practical implementations within the cybersecurity landscape, identifies research gaps, and suggests future research directions. The insights presented here highlight the vital contribution of LLMs to the advancement of cybersecurity solutions and adapting to evolving threat environments.

关键词： Large Language Models (LLMs) Real-Time Threat Detection Cybersecurity Artificial Intelligence in Security Machine Learning Applications Pattern Recognition in Cybersecurity Natural Language processing (NLP) AI-Powered Security Systems Cyber Threat Analysis Advanced Persistent Threat (APT)

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Bridging Silos: Amplifying InnerSource Adoption Using an Activity Theory Perspective

Bridging Silos: Amplifying InnerSource Adoption Using an Act...

引用

25th International Conference on Agile Software Development (XP)

作者： Dillon, Clare Univ Galway Lero Galway Ireland

ISBN: (纸本)9783031727801;9783031727818

My research explores the adoption of InnerSource, a practice that integrates open source methodologies within organizations to foster collaboration and overcome the traditional silo mentality. InnerSource and Agile implementations share many values such as transparency, employee empowerment, and a flexible response to change. InnerSource adoption can come before, after, or in parallel with Agile transformations. Despite the increasing recognition of InnerSource as a pivotal driver for developer productivity and its growing presence in industry discussions, academic research on the subject remains in its infancy. Leveraging my involvement with the InnerSource Commons community and drawing from Activity Theory, my research aims to fill critical gaps in our understanding of InnerSource adoption. Specifically, it investigates the activities organizations engage in to enable InnerSource, identifies blockers hindering its implementation, and proposes effective strategies to counteract these challenges. At the XP 2024 PhD Symposium, I intend to share some preliminary findings of my research, derived from a Systematic Literature Review and a pilot study with an InnerSource practitioner working group. My research not only seeks to advance theoretical knowledge in the field but also offers practical insights for organizations striving to change software development practices, contributing to a more collaborative and efficient software development environment.

关键词： innersource inner source collaborative software development

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Digital Government Policies for Supporting Startups and Entrepreneurs 21st

Digital Government Policies for Supporting Startups and Entr...

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21st European, Mediterranean, and Middle Eastern Conference on information Systems

作者： Davalas, Athanasios Angelaki, Anna Univ Aegean Athina Greece

ISBN: (纸本)9783031813214;9783031813221

This study systematically examines the content and impact of digital government policies for supporting startups and entrepreneurs, addressing how these policies support and spur the growth of entrepreneurial organizations and innovations. Our analysis draws on one hand from published academic articles, topical reports, and on the other hand from case studies. Key findings indicate that digital government policies in this area constitute basic elements of wider policies that provide essential infrastructure, regulatory support, and financial incentives. For instance, Saudi Arabian startups raised $987 million in 2023, illustrating a robust investment climate facilitated by smart government policies. Similarly, Indian startups created over 269,000 jobs, highlighting the value of favorable policies. The study also analyzes the Greek government's Startup Greece Action Plan and EquiFund, which offer tax relief, grants, and digital skills development. However, our analysis has revealed challenges, such as resistance to change, cost issues, and digital inequalities. This study emphasizes the need for capacity building, public-private partnerships, and significant infrastructure investments to address these challenges. Future research should focus on the long-term effects of these policies and the role of new technologies like AI and Blockchain in enhancing digital government strategies.

关键词： Decentralized finance

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Enhanced Cardiovascular Disease Prediction Through a Semi-supervised Grey Ensemble Model 1

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21st European, Mediterranean, and Middle Eastern Conference on information Systems

作者： Majumder, Annwesha Banerjee Gupta, Somsubhra Singh, Dharmpal Acharya, Biswaranjan Gerogiannis, Vassilis C. Kanavos, Andreas Karamitsos, Ioannis JIS Coll Engn Dept Informat Technol Kalyani W Bengal India Swami Vivekananda Univ Dept Comp Sci & Engn Kolkata India JIS Coll Engn Dept Comp Sci & Engn Kalyani W Bengal India Marwadi Univ Dept Comp Engn AI & BDA Rajkot Gujarat India Univ Thessaly Dept Digital Syst Larisa 41500 Greece Ionian Univ Dept Informat Corfu Greece Rochester Inst Technol Grad Programs & Res Dubai 341055 U Arab Emirates

ISBN: (数字)9783031813252

ISBN: (纸本)9783031813245;9783031813252

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, highlighting the critical need for timely and precise predictive models. Despite recent advancements, significant disparities in healthcare access still exist, prompting the need for innovative solutions in medical diagnostics. This study introduces a novel semi-supervised Grey model using data from the UCI repository, designed to bridge the gap between model interpretability and predictive accuracy-a common trade-off in machine learning. Traditional approaches typically require a choice between White-Box interpretability and Black-Box accuracy. Our proposed Grey-Box model combines the strengths of both, aiming to provide White-Box-like interpretability with nearly Black-Box-level accuracy. This approach offers a promising alternative to conventional models, potentially enhancing the accessibility and effectiveness of medical diagnostics for CVDs.

关键词： Cardiovascular Disease Black Box Grey Model Semi-Supervised Learning White Box Ensemble Learning

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Convergence of business and Their Processes: A Data Analytics Approach 1

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21st European, Mediterranean, and Middle Eastern Conference on information Systems

作者： Vieira, Cristiana Sousa, Vania Vieira, Antonio Santos, Maribel Yasmina CCG ZGDV ICT Innovat Inst Campus Azurem P-4800058 Guimaraes Portugal Univ Minho ALGORITMI Res Ctr Campus Azurem P-4800058 Guimaraes Portugal

ISBN: (数字)9783031813252

ISBN: (纸本)9783031813245;9783031813252

In today's data-driven landscape, businesses increasingly rely on both data science and process science to enhance operational efficiency and strategic decision-making. However, a significant gap exists between these two disciplines, hindering the realization of their full potential synergy. This paper proposes a novel approach to bridge this gap through the integration of business analytics and process analytics within a Data Warehouse (DW) system. We present a metamodel, the business and Process Analytics Data Warehouse Meta-Model (B&PADWM), designed to optimize DWs for business and process analysis. This meta-model enables organizations to gain insights into both business performance and process efficiency simultaneously. By leveraging Object-Centric Event Logs (OCEL) derived from Process Mining, our approach facilitates a detailed understanding of business processes, allowing for the identification of bottlenecks, inefficiencies, and opportunities for improvement. Drawing from previous research in business process management and data analysis, we demonstrate the efficacy of our approach through a demonstration case study focused on order management processes.

关键词： Process Mining Process Analytics business Analytics Data Warehouse

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Digital Twin Adapted Agile Software Development Life Cycle

Digital Twin Adapted Agile Software Development Life Cycle

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25th International Conference on Agile Software Development (XP)

作者： Jaber, Mariam Karakra, Abdallah Alsadeh, Ahmad Taweel, Adel Birzeit Univ Dept Comp Sci Birzeit Palestine

ISBN: (纸本)9783031727801;9783031727818

Digital Twin (DT) stands as the premier technology within Industry 4.0 used in multiple sectors. Although there has been considerable recent literature on DT, there has been limited focus on the life cycle methodologies for its development. Lacking a well-defined process can significantly complicate DT development. This paper proposes an augmented Agile Software Development Life Cycle as a methodology for DT development.

关键词： Digital Twin Agile Software Development Life Cycle

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Copilot's Island of Joy Balancing Individual Satisfaction with Team Interaction in Agile Development

Copilot's Island of Joy Balancing Individual Satisfaction wi...

引用

25th International Conference on Agile Software Development (XP)

作者： Wivestad, Viggo Tellefsen Barbala, Astri Stray, Viktoria SINTEF Digital N-7034 Trondheim Norway Univ Oslo N-0373 Oslo Norway

ISBN: (纸本)9783031727801;9783031727818

This study assesses the integration of GitHub Copilot into agile software development practices in one of Norway's largest public sector organizations. Through a quasi-experimental survey of 115 participants, we differentiate the attitudes of users and non-users of GitHub Copilot regarding their development routines. Findings reveal that Copilot users experience significantly greater focus on engaging tasks and less dependence on colleagues compared to non-users, while non-users maintain a more cautious stance on AI use in the public sector. Further, while users generally showed more positive attitudes and fewer frustrations, these differences were not statistically significant. The study advocates for a mindful adoption of AI tools in agile settings, balancing individual benefits with interdependence and team unity.

关键词： Agile Software Development GitHub Copilot AI Tool Adoption Collaboration Team dependence

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Hybrid Meetings in Agile Software Development

Hybrid Meetings in Agile Software Development

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25th International Conference on Agile Software Development (XP)

作者： Stray, Viktoria Moe, Nils Brede Semsoy, Susanne Univ Oslo N-0373 Oslo Norway SINTEF Trondheim Norway

ISBN: (纸本)9783031727801;9783031727818

Hybrid meetings, which combine in-person and virtual participants, are becoming increasingly common in modern agile workplaces. Despite their prevalence, these meetings often lead to asymmetric participation. In this study, we explored the nature of participation asymmetries in hybrid meetings and identified the technical and social factors contributing to these disparities. We analyzed anonymized access card data, observed hybrid meetings, and conducted interviews with employees in a large-scale Norwegian software development organization. Our findings reveal that the employees preferred to go to the office on Tuesdays and Wednesdays. In hybrid meetings, we found reduced engagement from virtual participants compared to those co-located at the office, especially in the absence of a clear speaking order. Social-driven asymmetries included difficulties in entering conversations, missing remarks and nonverbal cues, and being left out of pre- and post-meeting discussions. Physical presence in meetings was found to be crucial for newly onboarded team members. Future research should investigate what fosters inclusive meeting practices to improve engagement and collaboration in hybrid work environments.

关键词： Collaboration Coordination Alignment Hybrid work Remote participation Teamwork Large-scale agile development

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Comparative Evaluation of Cybersecurity Maturity Models and Frameworks 1

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21st European, Mediterranean, and Middle Eastern Conference on information Systems

作者： Papachristofis, Konstantinos Vardoulias, Georgios Vavousis, Konstantinos European Univ Cyprus Dept Comp Sci & Engn Nicosia Cyprus Amer Coll Greece Dept Informat Technol Athens Greece

ISBN: (数字)9783031813252

ISBN: (纸本)9783031813245;9783031813252

As cybersecurity threats evolve daily, there is a pressing need for ongoing enhancements in the cybersecurity strategies of the organizations in order to keep up with these threats. Cybersecurity maturity models and frameworks are crucial tools used by organizations to assess their security readiness. Developed by various international entities, consultants, and researchers, these tools provide a strategic approach to managing information security risks and addressing potential breaches that threaten data confidentiality, integrity, and availability. The NCSC's latest 2023 statistical review [1] reported a 64% increase in security incidents, totaling 2005 cases, indicating that current cybersecurity implementations are still lacking. This article aims to perform an in-depth comparative analysis of prevalent cybersecurity maturity models and frameworks to identify gaps, facilitate new academic research, and determine which aspects require further development or are already well-established.

关键词： cyber-resistance cybersecurity maturity models cyber-resilience cybersecurity frameworks cyber-resistance assessment

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