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2024 ieee international conference on Pervasive computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024 2024年 38-39页

作者： Peltonen, Ella Mohan, Nitinder Zdankin, Peter Josten, Malte Shreedar, Tanya Shreedhar, Tanya Bayhan, Suzan Berrocal, Javier Chakraborty, Sandip Crowcroft, Jon Ding, Aaron Yi Ferlin, Simone Gasser, Oliver Holz, Ralph G. Kangasharju, Jussi Kolcun, Roman Nicklas, Daniela Ott, Jörg Schiele, Gregor Sigg, Stephan Solmaz, Gürkan Eleni, Eirini Weis, Torben University of Oulu Finland Technical University of Munich Germany University of Duisburg-Essen Germany University of Edinburgh United Kingdom University of Edinburgh United Kingdom University of Twente Netherlands University of Extremadura Spain Indian Institute of Technology Kharagpur India University of Cambridge United Kingdom TU Delft University of Helsinki Netherlands Red Hat and Karlstad University Sweden Max Planck Institute for Informatics Germany University of Münster Germany University of Helsinki Finland University of Bamberg Faculty Information Systems and Applied Computer Science Germany Technische Universität München Germany Aalto University Finland NEC Laboratories Europe Germany Tsiropoulou University of New Mexico United States Universität Duisburg-Essen Germany

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Algorithms for Computation of Topological Measures Based on Binary Decision Diagrams 17

Algorithms for Computation of Topological Measures Based on ...

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17th ieee international Scientific conference on informatics, informatics 2024

作者： Mrena, Michal Rusnak, Patrik Kvassay, Miroslav University of Zilina Department of Informatics Zilina Slovakia

ISBN: (纸本)9798350387674

Reliability analysis is an important part of investigating a system and its components. In reliability analysis, it is necessary to select an appropriate representation for the system and a description of its operation. One representation is a binary-state system. A structure function can be used in describing the operation of the system. One part of reliability analysis is topological analysis. Several metrics are used in topological analysis;one of them is the system state frequency. For its calculation, it is necessary to choose a suitable representation of the structure function, especially if its computation is done on a computer. The binary decision diagram is one such representation. There are currently two algorithms for computing this metric, but they have certain limitations. Therefore, a new algorithm is presented in this paper that addresses the limitations of these previous algorithms. This new algorithm is also tested with experimental validation. © 2024 ieee.

关键词： algorithm binary decision diagram system state frequency topological analysis

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Locational Analysis of Refuelling Stations using p-Median 20

Locational Analysis of Refuelling Stations using p-Median

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20th ieee international Colloquium on Signal Processing and Its Applications, CSPA 2024

作者： Baharom, Nuridawati Shariff, S.Sarifah Radiah Nasir, Noryanti Perlis Branch School Of Computing And Mathematics College Of Computing Informatics And Mathematics Perlis Arau Malaysia Selangor Shah Alam Malaysia School Of Computing And Mathematics College Of Computing Informatics And Mathematics Selangor Shah Alam Malaysia

ISBN: (纸本)9798350382310

This study aims to assess the performance of the existing network of location decisions for refuelling stations in Peninsular Malaysia. Firstly, a questionnaire survey examining users' perceptions and awareness of alternative fuel vehicles (AFV) and the experience of AFV users. The locational analysis was applied using p-median to evaluate the existing locations of refuelling stations regarding the population demand and distance from the population area to refuelling stations. Two new locations of refuelling stations were suggested based on the analysis of the results to accommodate the demand of users. © 2024 ieee.

关键词： Location

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Design Parental Involvement Monitoring Students' Academic Performance on University Mobile Apps 8

Design Parental Involvement Monitoring Students' Academic Pe...

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8th international conference on informatics and computing, ICIC 2023

作者： Yusuf, Nabila Adelia Tolle, Herman Aknuranda, Ismiarta Brawijaya University Department of Informatics Engineering Malang Indonesia Brawijaya University Department of Information System Malang Indonesia

ISBN: (纸本)9798350342604

The role of parents in monitoring student academic activities is important. Many students in university fail because of a lack of monitoring and supervision from parents and the university. Most academic information is not channeled efficiently to the parents due to various factors, lack of awareness, the busyness of parents, and limited access to academic information. Therefore, a platform is needed for parents to monitor all Student's academic activities easily and efficiently through University App. This study uses the Design Thinking method with a special function on Notification and context awareness features to increase the User's attention on monitoring students' progress. The usability evaluation was then conducted to evaluate the solution design's effectiveness, efficiency, and satisfaction. The effectiveness rate is 'Success' on all tasks, while the efficiency result is 0.161 goals/second. The satisfaction rate using the System Usability Scale (SUS) has a score of 86 with the level of 'Very Good,' and the User Experience Questionnaire (UEQ) produces an 'Excellent' benchmark in 6 aspects. The solution design produces an ideal model for parents to monitor Student academic progress using mobile applications. © 2023 ieee.

关键词： Students

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Optimizing Virtual Machine Placement in Cloud computing Environments: A Comparative Study and Novel Approach 7

Optimizing Virtual Machine Placement in Cloud Computing Envi...

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7th international conference on Contemporary computing and informatics, IC3I 2024

作者： Rana, Tuba Amir Rawat, Pradeep Singh Singh, Akshay Thapliyal, Unnati Dit University School of Computing Uttarakhand Dehradun India

ISBN: (纸本)9798350350067

Cloud computing has emerged as a transformative paradigm in the realm of information technology, offering scalable and on-demand access to computing resources over the internet. Effective resource management is crucial in cloud environments to ensure optimal performance, minimize energy consumption, and meet service level agreements (SLAs). This paper presents a comprehensive study of various resource optimization techniques in cloud computing, including DVFS, IQRMC, MADMU. Through extensive simulations and analysis, we evaluate the performance of these techniques in terms of resource utilization, energy efficiency, no. of VM migrations, execution time, stimulation time, and SLA adherence. Furthermore, we propose a novel VM placement algorithm, First Fit, and compare its effectiveness with existing approaches. The findings of this study provide valuable insights into the optimization of resource management in cloud computing environments and contribute to the ongoing research in this field. © 2024 ieee.

关键词： Cloud computing Energy Efficiency Resource Optimization Virtual Machine Workload Management

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Emer: Reputation-Based Event Consumer for Event-Driven Decentralized Systems

Emer: Reputation-Based Event Consumer for Event-Driven Decen...

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2024 ieee international conference on Communications, computing, Cybersecurity and informatics, CCCI 2024

作者： Ding, Yepeng Zhang, Lingfeng Yu, Junwei Sato, Hiroyuki Kondo, Tohru Nishimura, Kouji Hiroshima University Higashihiroshima Japan University of Tokyo Tokyo Japan National Institute of Informatics Tokyo Japan

ISBN: (纸本)9798350349832

Event-driven decentralized systems trigger off-chain functions upon consuming events emitted by decentralized applications deployed on blockchains. However, ensuring dependable, cost-efficient, and flexible event consumption is challenging due to the consensus mechanisms inherent in blockchains. Meanwhile, the need for dependable event consumption has become increasingly critical with the rise of decentralized finance. In this paper, we propose Emer, a reputation-based event consumer that adopts a distributed architecture and leverages a novel asynchronous reputation mechanism to mitigate the risk of missing or inconsistent events. Besides, Emer reduces the communication cost through reputation-based optimization and proves scalable as an infrastructure. Additionally, Emer offers trust condition customization to enable prioritizing sensitivity of timeliness or correctness for specific use cases. Furthermore, we support our claims with simulation analysis and demonstrate its applicability through a real-world scenario in decentralized finance. © 2024 ieee.

关键词： Decentralized finance

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A key performance indicator to analyze swarm learning performances with EHR 12

A key performance indicator to analyze swarm learning perfor...

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12th ieee international conference on Healthcare informatics (ieee-ICHI)

作者： Mantovani, Matteo Schede, Riccardo Combi, Carlo Diciotti, Stefano Univ Verona Dept Comp Sci Verona Italy Univ Bologna Dept Elect Elect & Informat Engn Bologna Italy

ISBN: (纸本)9798350383744;9798350383737

Swarm Learning (SL) has been recently proposed for distributed learning, where a group of individual centers perform a synchronized training. Unlike traditional machine learning models that rely on a central server, swarm learning distributes the learning process across multiple nodes. Each node independently processes data and contributes to the overall learning task. This collaboration allows the swarm to benefit from individual nodes' different data. Unlike federated learning, here model parameters are not handled by a central server but are randomly handled across each individual node. The intrinsic attention of swarm learning to data privacy makes it suitable for distributed healthcare analysis, where a clinical center wants to benefit from all the other ones in the swarm network. However, the benefit for a single center or for the whole network could vary depending on data distribution. In this paper, we want to analyze the performance of the swarm learning in a network with multiple nodes, where different data distribution scenarios are taken into account. This analysis will show the gain of the whole swarm network and a specific (reference) node, focusing on scenarios where this node has a different amount of data with respect to the other nodes. To perform a more analytical analysis, we introduce a new Key Performance Indicator (KPI) to measure such gain. We then applied this method using ICU data extracted from the MIMIC EHR database and discussed the results obtained by analyzing 5 nodes with different data distribution scenarios.

关键词： swarm learning performance analysis KPI EHR distributed computing

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Juris-informatics: Law for AI and Law of AI

Juris-Informatics: Law for AI and Law of AI

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2024 ieee international conference on Big Data, BigData 2024

作者： Satoh, Ken Takeda, Hideaki Goebel, Randy Kano, Yoshinobu Kim, Mi-Young Rabelo, Juliano Yoshioka, Masaharu Center for Juris-Informatics Tokyo Japan University of Alberta Dept. of Computing Science Alberta Machine Intelligence Institute EdmontonAB Canada Shizuoka University Faculty of Informatics Shizuoka Hamamatsu Japan University of Alberta Augustana Faculty Dept. of Science AB Canada Hokkaido University Faculty of Information Science and Technology Hokkaido Sapporo Japan

ISBN: (纸本)9798350362480

This paper presents an outline of our research project developed at our research center for "Juris-informatics". "Juris-informatics"is a research field based on two main topics;"Law by AI"and "Law of AI". "Law by Ai"is a research field where we investigate a support tool by AI for legal activities such as legal reasoning and legal document processing. "Law of AI"is a research field where we conduct research on legal control of AI such as considering the legal responsibility of AI and legal compliance of AI. © 2024 ieee.

关键词： informatics

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Steganography in the Quantum Era 6

Steganography in the Quantum Era

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6th ieee international conference on Emerging Smart computing and informatics, ESCI 2024

作者： Bharatwaj, Aksaj Kumar Hasabnis, Amey R Dept of Physics Greater Noida201314 India Dept of Basic Studies Madhya Pradesh Mhow453441 India

ISBN: (纸本)9798350306613

The advancement of Quantum information and quantum computing has led to an increase in algorithms and new methods to exploit quantum computers in various domains, such as breaking cryptography, Quantum Machine learning, Quantum Eigensolvers for materials modeling etc. One such way of control-ling quantum computers has led to the inception and emergence of Quantum Image Processing and Quantum Steganography. Steganography has been widely used for secure communication in the past. With the evolution of quantum computing, the exploitation of qubits for image-based steganography has gained attention from academics, government, and military stakeholders alike to improve their respective secure communication channels. This paper aims to discuss a preliminary application of Quantum Steganography using IBM's open source software development kit Qiskit [9] in the Quantum Era. © 2024 ieee.

关键词： post-quantum cryptography quantum image processing quantum security Quantum steganography quanytum computing

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Evaluating Current Cloud Security Challenges and IAAS Optimization 7

Evaluating Current Cloud Security Challenges and IAAS Optimi...

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7th international conference on Contemporary computing and informatics, IC3I 2024

作者： Charu Mathur, Sandeep Sengar, Alok Singh Noida International University School of Science Uttar Pradesh Greater Noida India Aset Amity University Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350350067

Cloud computing has revolutionized the way organizations manage and utilize computing resources, offering flexibility, scalability, and cost-effectiveness. The move to cloud settings has, however, also raised new security concerns that need to be taken into consideration. This research paper assesses the security risks that Infrastructure as a Service (IaaS) cloud settings now face and investigates possible optimisation techniques to strengthen security posture. This paper explores a number of cloud security topics, such as network security, identity and access control, data protection, and compliance issues. It also examines at how dynamic communication protocols help strengthen security and reduce vulnerabilities. This paper seeks to offer useful insights and recommendations for organisations looking to optimise their IaaS security and maximise the advantages of cloud computing while minimising risks. It does this by analysing current industry trends, best practices, and cutting-edge technology. © 2024 ieee.

关键词： Cloud security

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