Procedia Computer Science最新文献

{"title":"Data-driven machinery faults detection techniques using Artificial Intelligence in Industry 4.0 concept","authors":"Galina Samigulina ,&nbsp;Zarina Samigulina ,&nbsp;Daulet Bekeshev ,&nbsp;Diana Butakova","doi":"10.1016/j.procs.2025.03.053","DOIUrl":"10.1016/j.procs.2025.03.053","url":null,"abstract":"<div><div>The research is devoted to the development of an intelligent technology for diagnosing industrial equipment of oil and gas facilities based on an improved FMEA methodology (Analysis of Modes, Failures of their Influence, Degree of Criticality) in combination with a unified artificial immune system (UIIS) and the principles of immunological homeostasis. The main trends in the development of bioinspired artificial intelligence technologies are considered. A unified artificial immune system is built on the basis of modified algorithms of the artificial immune system (AIS) in order to identify the most effective ones (in data processing and forecasting) for a certain set of production data. The application of the principles of immunological homeostasis to assess modified algorithms allows identifying the «homeostasis area» in which the algorithms have the best predictive properties and can form an adequate immune response. The extension of the FMEA methodology with an intelligent block based on UAIS allows to automate the information processing previously carried out manually by experts, reduce time and resources when diagnosing equipment, and eliminate errors associated with the «human factor». The technology has been approbated on real data on equipment failures at TengizChevroil company (oil and gas industry) and on experimental data on equipment from Schneider Electric (Industrial Automation Lab).</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 404-411"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From Dock to Destination: Toward an End-to-End Simulation Study","authors":"Kevin Power,&nbsp;Yassine Lahlou-Kamal,&nbsp;Nikolay Aristov,&nbsp;Elenna Dugundji,&nbsp;Thomas Koch","doi":"10.1016/j.procs.2025.03.062","DOIUrl":"10.1016/j.procs.2025.03.062","url":null,"abstract":"<div><div>This study uses a discrete-event simulation model, built with open-source software, to analyze import container flows at the Port of New York/New Jersey. The model integrates input and parameter distributions derived from extensive data analysis of publicly available import records, enhanced by machine learning techniques, including Natural Language Processing for commodity classification using unstructured shipping manifest product descriptions. Initial results demonstrate the effectiveness of Gaussian Kernel Density Estimate (KDE) and Fourier models in representing container dwell times, reducing mean absolute error compared to normal distribution by up to 39.5% for dry containers and 24.8% for reefers. A fine-tuned BERT model achieves over 80% accuracy in commodity classification to the four-digit HS code level, enabling improved input data structuring for simulation. Initial scenario testing indicates increasing outbound rail freight from 15% to 25% of total containers reduces truck congestion by 11.5% and decreases median dwell time by 1.52% for dry containers and 2.55% for reefers. These findings highlight the potential for logistical adjustments to improve efficiency and reduce congestion at the Port of New York/New Jersey.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 477-484"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Balancing Privacy and Security: A Comparative Analysis of AI-Driven Surveillance in the UAE and USA","authors":"Belal Alghafri,&nbsp;Abdallah Tubaishat","doi":"10.1016/j.procs.2025.03.021","DOIUrl":"10.1016/j.procs.2025.03.021","url":null,"abstract":"<div><div>AI-driven surveillance has emerged as a critical tool for enhancing public safety, enabling authorities to monitor and prevent crime and terrorism more effectively. In countries like the UAE and the USA, these systems are often implemented under the pretext of national security, offering advanced methods to track potential threats. However, the increasing reliance on AI for surveillance raises significant ethical concerns about privacy and individual freedoms. The boundary between protecting citizens and infringing on their privacy becomes increasingly blurred, potentially leading to abuses of power, diminished public trust, and a pervasive atmosphere of fear. This paper explores the complex relationship between privacy and security in AI-driven surveillance practices in the UAE and the USA. Despite their differing political and legal systems, both countries face similar challenges in managing the ethical implications of AI surveillance. While these technologies can improve accuracy and efficiency, unchecked surveillance poses risks to civil liberties, particularly regarding data collection, analysis, and utilization. The central ethical dilemma revolves around whether certain rights should be compromised for security. While some scholars argue that the benefits of AI surveillance justify its use, others contend that privacy and freedom must remain inviolable, even amid security threats. The paper also examines the distinct approaches of the UAE and the USA in implementing surveillance systems. In the UAE, a centralized authority and significant technological investments have enabled extensive state surveillance with minimal public resistance. In contrast, the USA, as a democratic nation, continues to grapple with legal and ethical debates surrounding the limitations of its surveillance programs. The study aims to compare surveillance practices, analyze legal frameworks, and evaluate the impact on citizen freedoms. It concludes with policy recommendations to ensure responsible AI use, balancing national security with fundamental human rights.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 142-149"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combined transit mode choice patterns for commuters from transit card data in Korea","authors":"Jin Ki Eom ,&nbsp;Seonhwa Jung ,&nbsp;Kwang Sub Lee","doi":"10.1016/j.procs.2025.03.022","DOIUrl":"10.1016/j.procs.2025.03.022","url":null,"abstract":"<div><div>In 2022, Korea introduced the MTC card to promote public transportation. The MTC card offers up to 30% savings on transportation costs by accumulating mileage based on walking or cycling distances and records data on first- and last-mile trips. A case study at Gangnam Station in Seoul, Korea analyzed combined transit transfer patterns during morning peak and evening peak hours at Gangnam Station by constructing multinomial logit model. The models focused on between two transit modes since the MTC data reported that the average transfer frequency of 1.32 for public transportation users in the Seoul metropolitan area. The four-transit mode combinations such as ‘Metro to Bus’, ‘Metro to Metro’, ‘Bus to Bus’, and ’ Bus to Metro’ were set as choice variables. The results show that during the morning peak hours, ‘Bus to Metro (BtoM)’ combination is mostly preferred, while the ‘Metro to Bus (MtoB)’ combination is favored in the evening. Morning commuters are more sensitive to time and costs than evening commuters. By identifying preferred transportation combinations for each time period, policymakers develop appropriate planning for public transportation services.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"257 ","pages":"Pages 150-157"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ChatGPT in Education: A Review of Ethical Challenges and Approaches to Enhancing Transparency and Privacy","authors":"Ibomoiye Domor Mienye ,&nbsp;Theo G. Swart","doi":"10.1016/j.procs.2025.02.077","DOIUrl":"10.1016/j.procs.2025.02.077","url":null,"abstract":"<div><div>The integration of ChatGPT and large language models (LLMs) into education has created new possibilities for personalized learning, tutoring, and automation of administrative tasks. However, these advancements also present ethical challenges. This paper critically examines the ethical implications of deploying ChatGPT in educational settings, with a focus on data privacy, the opaque nature of AI decision-making, and the risks of biased outputs. To address these issues, we outline actionable approaches, including Explainable AI (XAI) techniques and privacy-preserving strategies, aimed at enabling transparency and protecting student data. We also outline frameworks that support human oversight and governance to maintain trust and accountability in Al-driven educational tools.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"254 ","pages":"Pages 181-190"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551028","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}

{"title":"Digital Sovereignty through Africa-Centric Emotional Intelligence: A Proof of Concept for AI-Enhanced Mental Health Support","authors":"Sontaga G. Forane ,&nbsp;Absalom E. Ezugwu ,&nbsp;Kevin Igwe","doi":"10.1016/j.procs.2025.02.086","DOIUrl":"10.1016/j.procs.2025.02.086","url":null,"abstract":"<div><div>Digital sovereignty is vital for enabling communities to control their technological ecosystems, particularly in areas like mental health, where cultural relevance and data autonomy are paramount. This study examines the integration of Africa-centric emotional intelligence principles into AI-driven mental health support systems, while at the same time proposing a culturally adaptive framework with a proof of concept that emphasizes both technological autonomy and cultural authenticity. Grounded in values such as empathy, communal well-being, resilience, and Ubuntu, the conceptualized approach aligns mental health interventions with the lived experience of African communities. The framework incorporates conversational agents and personalized interventions, alongside a prototype system capable of detecting and classifying mental health conditions, such as depression, anxiety, and stress. The culturally aligned design enhances user trust, engagement, and perceived usefulness, By emphasizing local data control and leveraging Indigenous systems, this work promotes digital sovereignty and addresses privacy concerns. Preliminary testing of the prototype demonstrates the feasibility of culturally attuned AI solutions, showing improved user engagement and trust. This paper emphasizes the need for mental health interventions that respect cultural identity while promoting digital autonomy. More so, it advocates for AI systems personalized to regional contexts and calls for mental health solutions that uphold cultural identity while advancing digital self-governance.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"254 ","pages":"Pages 269-278"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551080","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}

{"title":"MASFENON: implementing a multi-agent simulation framework for interconnected networks with distributed programming","authors":"Giorgio Locicero ,&nbsp;Antonio Di Maria ,&nbsp;Salvatore Alaimo ,&nbsp;Alfredo Pulvirenti","doi":"10.1016/j.procs.2025.02.262","DOIUrl":"10.1016/j.procs.2025.02.262","url":null,"abstract":"<div><div>The complexity of networked systems, particularly interconnected networks, necessitates advanced simulation frameworks to accurately emulate real-world dynamics, especially in the context of big data and high-performance computing. Most software used for simulation and temporal inference usually falls short in large data and optimization, since it is generally used in particular contexts, like simulating the dynamics of a specific group of entities, such as cellular and community interactions. We present ”Multi-Agent Adaptive Simulation Framework for Evolution in Networks of Networks” (MASFENON). MASFENON employs a temporal multi-layered approach to simulate and analyze dynamic processes in interconnected networks. The framework leverages parallel programming techniques for matrix and linear algebra operations and distributed and reactive programming for agent and environment communication, all implemented in C++ using the Message Passing Interface (MPI) standard. MASFENON has been validated against several common network models and could simulate the behavior of real systems in the context of epidemic simulations (See [<span><span>4</span></span>]). The framework demonstrates sublinear speedup and scalability with network size. The implementation is open source and available in a regularly updated GitHub repository1. MASFENON's integration of MPI and distributed programming techniques provides a powerful and versatile tool for modeling complex network interactions and dynamics. Its capabilities extend beyond traditional models, offering new insights and applications in network science.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"255 ","pages":"Pages 73-82"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563284","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}

{"title":"Towards full AI model lifecycle management on EuroHPC systems, experiences with AIFS for DestinE","authors":"Thomas Geenen ,&nbsp;Even Marius Nordhagen ,&nbsp;Victor Sanchez ,&nbsp;Cathal O'Brien ,&nbsp;Simon Lang ,&nbsp;Mihai Alexe ,&nbsp;Ana Prieto Nemesio ,&nbsp;Gert Mertes ,&nbsp;Rakesh Prithiviraj ,&nbsp;Jesper Dramsch ,&nbsp;Baudouin Raoult ,&nbsp;Florian Pinault ,&nbsp;Helen Theissen ,&nbsp;Sara Hahner ,&nbsp;Mario Santa Cruz ,&nbsp;Matthew Chantry ,&nbsp;Nils Wedi","doi":"10.1016/j.procs.2025.02.264","DOIUrl":"10.1016/j.procs.2025.02.264","url":null,"abstract":"<div><div>On October 13 2023 ECMWF released the first alpha version of its artificial intelligence forecasting system, AIFS, ECMWFs data-driven forecasts model. This first release came just a few months after ECMWF started the development of this new model that highlights the increased efforts in the field of machine learning (ML) that ECMWF has been building over the last few years. This paper describes the use of AIFS on EuroHPC systems in the context of DestinE. The main focus is on performance benchmarks on the different EuroHPC systems available to DestinE but also very much on the deployment and use of the tools to support the model lifecycle management. EuroHPC systems have already proven to be of great value for DestinE and in this paper, we describe how we leverage these systems for artificial intelligence (AI) and ML models in DestinE. We are closely working with EuroHPC and EuroHPC hosting sites through co-design and the optimization of existing solutions to optimize the usage of these systems in every step of the lifecycle management for AI and ML models. The performance benchmarks of our models on several EuroHPC systems showed that the speedup is close to linear up to several thousand GPUs, but that for each EuroHPC system a different optimization strategy must be used to achieve that. For model lifecycle management we found that we can use our in-house developed, domain specific, framework on EuroHPC systems and highlight some specific modifications and future improvements for EuroHPC systems. W e a l s o provide implementation details and share our experiences on how to retrieve and collect provenance data and information from models running on EuroHPC systems using (external to the EuroHPC system deployed) cloud native frameworks. Although we describe solutions in this paper that are designed to support our specific requirements and context, we believe that proposed solutions, developments and implementation details can also bring value beyond the broader NWP community.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"255 ","pages":"Pages 93-102"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563317","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}

{"title":"Portable test run of ESPResSo on EuroHPC systems via EESSI","authors":"Alan O'Cais ,&nbsp;Kenneth Hoste ,&nbsp;Jean-Noël Grad ,&nbsp;Caspar van Leeuwen ,&nbsp;Lara Peeters ,&nbsp;Satish Kamath ,&nbsp;Thomas Röblitz ,&nbsp;Richard Topouchian ,&nbsp;Bob Dröge ,&nbsp;Pedro Santos Neves ,&nbsp;Rudolf Weeber","doi":"10.1016/j.procs.2025.02.267","DOIUrl":"10.1016/j.procs.2025.02.267","url":null,"abstract":"<div><div>One of the milestones of the EuroHPC Centre of Excellence MultiXscale is to be able to run the EESSI test suite on at least two different architectures available on EuroHPC Supercomputers. Our initial efforts focused on making the test suite portable across two different supercomputers: Karolina and Vega (the CPU partitions of both are a Zen2 micro-architecture).</div><div>More recently we have spent time getting the same test suite working on a more “exotic” architecture, the ARM A64FX architecture of Deucalion (which was in pre-production at the time of the experiment). This has raised some additional complications for EESSI as CernVM-FS (which is used to distribute EESSI) was not yet natively available there.</div><div>We show the current scalability of the ESPResSo application using the portable test suite. ESPResSo is already known to have scalability issues for both multi-node and multi-GPU configurations which are currently being analysed in collaboration with the POP Centre of Excellence. The purpose of this effort was to ensure that we can quickly and automatically record the performance of the application across a range of EuroHPC systems (i.e. ESPResSo acts as a pilot application for the full test suite)</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"255 ","pages":"Pages 122-129"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563320","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}

{"title":"Tabletop exercises as a potential to improve \"Preparedness for Society in Health Crises and Disasters\"","authors":"Felix Baumann ,&nbsp;Lennart Landsberg ,&nbsp;Thomas Säger ,&nbsp;Ompe Aimé Mudimu","doi":"10.1016/j.procs.2025.02.101","DOIUrl":"10.1016/j.procs.2025.02.101","url":null,"abstract":"<div><div>The PREPSHIELD project, acronym for \"Preparedness for Society in Health Crises and Disasters\", is part of the \"HORIZON-CL3-2023-DRS-01-01\" funding program titled \"Improving Social and Societal Preparedness for Disaster Response and Health Emergencies\". It aims to enhance preparedness for health crises by incorporating both social and societal elements, highlighted by the urgent needs revealed during the COVID-19 pandemic. Focusing on a people-centered approach, PREPSHIELD leverages AI technology to develop strategies and platforms that address the social impacts of health emergencies. Spearheaded by the Università degli Studi del Piemonte Orientale with a €3,891,762.5 budget, this initiative unites a diverse group of stakeholders, including government, civil society, and healthcare entities, to foster tailored communication, management, and simulation tools for anticipating future crises. The project features drills and simulations across local to national scales, supported by a digital platform leveraging the CRIMSON model for effective crisis communication. Bringing together five universities, numerous government and non-profit organizations, an SME, and large companies from seven EU member states and Switzerland, PREPSHIELD seeks to significantly advance preparedness and response capabilities for health crises through innovative technology and a comprehensive, collaborative approach. The results of the project are expected to be methods and approaches that provide evaluation tools and metrics for reviewing crisis management. In addition, proposals for action will be developed for the context of crisis management in health crises.</div></div>","PeriodicalId":20465,"journal":{"name":"Procedia Computer Science","volume":"256 ","pages":"Pages 101-105"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592856","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}