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UPB Scientific Bulletin, Series C: Electrical Engineering and computer science 2024年第2期86卷 61-72页

作者： Dorobăț, Ilie Cristian Posea, Vlad Boncea, Radu Dept. of Computer Science National University of Science and Technology POLITEHNICA Bucharest Romania National Institute for Research and Development in Informatics-ICI Bucharest Romania

The paper introduces the Cultural Leaf Semantic Portal whose aim is to provide a consolidated user-friendly solution for exploring the 36,132 Romanian artifacts and the 1,086 cultural entities that house them. Using the eCHO framework, the data collected from official sources are subjected to a transformation process through which they are sanitized, temporal expressions are normalized, thus reducing the number of forms in which the centuries and millennia are expressed from 1,733 to only 67, and then they are transformed into semantic structures. Finally, the resulting data is accessible via both a SPARQL endpoint and a semantic portal. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Semantic Web

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Navigator: A Decentralized Scheduler for Latency-Sensitive AI Workflows 8

Navigator: A Decentralized Scheduler for Latency-Sensitive A...

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8th IEEE International Conference on Edge Computing and Communications, EDGE 2024

作者： Yang, Yuting Merlina, Andrea Song, Weijia Yuan, Tiancheng Birman, Ken Vitenberg, Roman Cornell University dept. Computer Science Ithaca United States University of Oslo dept. Informatics Norway

ISBN: (纸本)9798350368499

We consider AI inference and generative query processing in distributed systems: an increasingly popular edgecomputing use case. In such systems, coscheduling of GPU memory management and task placement represents a promising opportunity. We propose Navigator, a novel framework that unifies these functions to reduce job latency while using resources efficiently, placing tasks where data dependencies will be satisfied collocating tasks from the same job (when this will not overload the host or its GPU), and efficiently managing GPU memory Comparison with other state of the art schedulers shows a significant reduction in completion times while requiring the same amount or even fewer resources. In one case, just half the servers were needed for processing the same workload. © 2024 IEEE.

关键词： Memory management

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EXAMINING CRITICAL FACTORS IN FCA-SAPO FRAMEWORK: A QUALITATIVE AND QUANTITATIVE STUDY ON THE ADOPTION OF FOG COMPUTING IN SAUDI ARABIAN PUBLIC ORGANISATIONS BY IT EMPLOYEES 18

EXAMINING CRITICAL FACTORS IN FCA-SAPO FRAMEWORK: A QUALITAT...

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18th International Conferences IADIS Information Systems 2025 and 23rd International Conference on e-Society 2025

作者： Alyami, Mohammed Beloff, Natalia White, Martin Dept. of Informatics University of Sussex Brighton United Kingdom Dept. of Computer Science Jazan University Jazan Saudi Arabia

ISBN: (纸本)9789898704658

Fog computing is a rapidly evolving domain within information technology and enterprise computing, providing organisations with the opportunity to greatly improve efficiency and productivity. This is particularly pertinent in developing countries, where effective resource utilisation is critical. Despite its potential, there has been limited research on the factors influencing the adoption of fog computing in Saudi Arabia, as well as the associated benefits and challenges. This study seeks to fill this gap by examining the various factors, advantages, and obstacles related to fog computing adoption within Saudi Arabian public organisations. To address the absence of a context-specific model, we employed a mixed-methods approach, gathering qualitative data through semi-structured interviews with 15 IT managers, revealing that complexity was the sole factor hindering adoption. Quantitative data was then collected from 665 IT managers and employees to validate the framework’s constructs, showing that privacy, complexity, awareness, and senior management support were insignificant among 12 factors in influencing adoption intention. The quantitative analysis complements these findings, indicating that while the majority of factors significantly influence the adoption process, a portion of the factors were found to be insignificant. Findings from both qualitative and quantitative analyses highlight the importance of technical, organisational, environmental, and financial contexts in the adoption process. These insights provide valuable guidance for IT managers in the Saudi public sector, emphasising the need to consider these factors comprehensively to achieve successful fog computing implementation. © 2025 Proceedings of the International Conferences IADIS Information Systems 2025 and e-Society 2025. All rights reserved.

关键词： Fog computing

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The Rational Construction of a Wheeler DFA 35

The Rational Construction of a Wheeler DFA

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35th Annual Symposium on Combinatorial Pattern Matching, CPM 2024

作者： Manzini, Giovanni Policriti, Alberto Prezza, Nicola Riccardi, Brian Dept. of Computer Science University of Pisa Italy Dept. of Mathematics Computer Science and Physics University of Udine Italy Dept. of Environmental Sciences Informatics and Statistics Ca’ Foscari University of Venice Italy Dept. of Informatics Systems and Communication University of Milano-Bicocca Italy

ISBN: (纸本)9783959773263

Deterministic Finite Wheeler Automata are a natural generalisation to regular languages of the theory of compressed data structures originated by the introduction of the Burrows-Wheeler transform. Indeed, if we can find a Wheeler automaton recognizing a given language L, such automaton can be used to design time and space efficient algorithms for representing and searching L. In this paper we introduce an alternative representation of Deterministic Wheeler Automata by showing that a natural map between strings and rational numbers in Qr0, 1q can be extended to represent the automaton’s states as intervals in Qr0, 1q. Using this representation it emerges a natural relationship between automata properties and some properties of real numbers. In addition, such representation enables us to formulate problems related to automata in a numerical setting. Although at the moment the numerical approach does not lead to time efficient algorithms, we believe this new perspective deserves further consideration. As a further demonstration of the convenience of this new representation, we use it to provide a simple proof of an unexpected result on regular languages. More precisely, we compare the size of the smallest Wheeler automaton recognizing a given language L with respect to the size of the smallest automaton, possibly non-Wheeler, recognizing the same language. We show settings in which there can be an exponential gap between the two sizes, and we discuss the implications of this result on the problem of representing regular languages. © Giovanni Manzini, Alberto Policriti, Nicola Prezza, and Brian Riccardi.

关键词： Finite automata

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TeachNet: A Lightweight and User-Friendly Network Visualization and Experimentation Tool 29

TeachNet: A Lightweight and User-Friendly Network Visualizat...

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29th IEEE Asia Pacific Conference on Communications, APCC 2024

作者： Islam, Safiqul Morina, Visar Welzl, Michael Feng, Boning Oslo Metropolitan University Dept. of Computer Science Oslo Norway University of Oslo Dept. of Informatics Oslo Norway

ISBN: (纸本)9798331517816

Network researchers, academics, and students often need to deal with complex scripting in order to design a network topology, configure network nodes, automate experimentation, and visualize network performance metrics. Current simulation or emulation tools lack the ability to provide a comprehensive understanding of the network. This paper introduces TeachNet, a lightweight and user-friendly network tool that provides a graphical user interface for designing, configuring, and automating network experiments. We explain TeachNet's design and present results to demonstrate its effectiveness and efficiency using our TCP experimentation-focused prototype, and Mininet in the backend. TeachNet creates a repository of log files and offers a framework for future research that is easily extensible to accommodate other tools such as OMNeT++ and ns3. © 2024 IEEE.

关键词： Graphical user interfaces

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Diving Deep into Bone Anomalies on the FracAtlas Dataset Using Deep Learning and Explainable AI

Diving Deep into Bone Anomalies on the FracAtlas Dataset Usi...

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2024 International Conference on Engineering and Computing, ICECT 2024

作者： Akhlaq, Filza Ali, Subhan Imran, Ali Shariq Daudpota, Sher Muhammad Kastrati, Zenun Dept. of Computer Science Gjovik2815 Norway Sukkur IBA University Dept. of Computer Science Sukkur Sindh Pakistan Linnaeus University Dept. of Informatics Växjö351 95 Sweden

ISBN: (纸本)9798350349719

Medical image analysis has undergone significant advancements with the integration of machine learning techniques, particularly in the realm of bone anomaly detection. The availability of recent datasets and the lack of benchmarking and explainability components provide numerous opportunities in this domain. This study proposes a benchmarking approach to a recently published FracAtlas dataset utilizing state-of-The-Art deep-learning models coupled with explainable artificial intelligence (XAI) having two distinct modules. The first module involves the binary classification of fractures in different body parts and explains the decision-making process of the best-performing model using an XAI technique known as EigenCAM. EigenCAM generates heatmaps on every layer of the YOLOv8m model to explain how the model reached a conclusion and localizes the fracture using a heatmap. To verify the heatmap, we also detected fractures using the YOLOv8m detection model, which achieved a mAP@O.5 of 59.5%, outperforming the baseline results on this dataset. The second module involves a multi-class classification task to categorize images into one of the five anatomical regions. The best-performing model for binary classification is the YOLOv8m model, with an accuracy of 83.1%, whereas the best-performing model for multi-class classification is the YOLOv8s, achieving an accuracy of 96.2%. © 2024 IEEE.

关键词： Medical imaging

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Harnessing LSTMs for Enhanced Prediction of Psychotic Episodes in Schizophrenia Spectrum 13

Harnessing LSTMs for Enhanced Prediction of Psychotic Episod...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Tsakmaki, Paraskevi V. Tasoulis, Sotiris Georgakopoulos, Spiros V. Plagianakos, Vassilis P. University of Thessaly Dept. of Computer Science and Biomedical Informatics Lamia Greece University of Thessaly Dept. of Mathematics Lamia Greece

ISBN: (纸本)9798350308365

In the quest to enhance predictive models for schizophrenia spectrum disorders, Long Short-Term Memory networks (LSTM) have been pivotal due to their adept.han-dling of temporal data sequences. This ability to process time-dependent data, enhances the monitoring of longitudinal patterns that are indicative of relapse. This study leverages LSTMs to analyze Heart Rate Variability (HRV), a key marker in neuropsychiatric evaluations, focusing on individual patient data. Emphasizing individualization, each LSTM model is carefully tai-lored to reflect the unique behavioral and physiological patterns of the patient. By customizing the analysis to accommodate the distinct fluctuations in HRV, LSTMs have shown a remarkable capacity to decode the complex, patient-specific patterns, as evidenced by a notable predictive average score of 0.972± 0.068. This figure not only validates the LSTM model's effectiveness in grappling with the diverse aspects of psychosis but also highlights its exceptional ability to adapt to the unique temporal dynamics inherent in each patient's mental health progression. © 2024 IEEE.

关键词： Diseases

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Assessing Swapping Policies as a Detailed Placement Approach 8

Assessing Swapping Policies as a Detailed Placement Approach

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8th South-East Europe Design Automation, computer Engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2023

作者： Arvanitakis, Ioannis Kranas, George K. Dossis, Michael Kakarountas, Athanasios Dadaliaris, Antonios N. University of Thessaly Dept. of Informatics and Telecommunications Lamia Greece University of Thessaly Computer Science & Biomedical Informatics Dept. Lamia Greece University of Western Macedonia Computer Science Dept. Kastoria Greece

ISBN: (纸本)9798350383676

Detailed placement plays a crucial role in the physical design of integrated circuits, impacting factors such as area, power consumption, and performance. Swap-based placement algorithms have gained significant attention in recent years due to their effectiveness in improving the quality of placement solutions. This paper presents a comprehensive study of swap-based detailed placement algorithms for standard cell design, highlighting their principles, advantages, challenges, and recent advancements. In this paper we present results of swap-based algorithms, using different approaches for standard cells selection and how these affect the final solution. © 2023 IEEE.

关键词： detailed placement placement standard cell design swap based policies

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Some decidability issues concerning Cn real functions 39

Some decidability issues concerning Cn real functions

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39th Italian Conference on Computational Logic, CILC 2024

作者： Buriola, Gabriele Cantone, Domenico Cincotti, Gianluca Omodeo, Eugenio G. Spartà, Gaetano T. Dept. of Computer Science University of Verona Italy Dept. of Mathematics and Computer Science University of Catania Italy Dept. of Mathematics Informatics and Geosciences University of Trieste Italy Pontifical Gregorian University Rome Italy

This paper adapts preexisting decision algorithms to a family RDF = {RDFa | n ∈ N} of languages regarding one-argument real functions;each RDFn is a quantifier-free theory about the differentiability class Cn, embodying a fragment of Tarskian elementary algebra. The limits of decidability are also highlighted, by pointing out that certain extensions of RDFn are undecidable. The possibility of extending RDFn into a language RDF∞ regarding the class C∞, without disrupting decidability, is briefly discussed. Two sorts of individual variables, namely real variables and function variables, are available in each RDFn. The former are used to construct terms and formulas that involve basic arithmetic operations and comparison relators between real terms, respectively. In contrast, terms designating functions involve function variables, constructs for addition of functions and scalar multiplication, and-outermost-i-th order differentiation Di[ ] with i ≤ n. An array of predicate symbols designate various relationships between functions, as well as function properties, that may hold over intervals of the real line;those are: function comparisons, strict and non-strict monotonicity / convexity / concavity, comparisons between a function (or one of its derivatives) and a real term. The decidability of RDFn relies, on the one hand, on Tarski’s celebrated decision algorithm for the algebra of real numbers, and, on the other hand, on reduction and interpolation techniques. An interpolation method, specifically designed for the case n = 1, has been previously presented;another method, due to Carla Manni, can be used when n = 2. For larger values of n, further research on interpolation is envisaged. © 2024 Copyright for this paper by its authors.

关键词： Computability and decidability

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Challenges of Integrating Blockchain Technology into Educational Institutions

Challenges of Integrating Blockchain Technology into Educati...

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2024 International Symposium on Networks, computers and Communications, ISNCC 2024

作者： Ali, Abbas Hussein Yavanoǧlu, Uraz Graduate School of Informatics Gazi University Dept. Of Computer Science Ankara Turkey Gazi University Faculty of Engineering Dept. of Computer Engineering Ankara Turkey

ISBN: (纸本)9798350364910

The latest advancements in blockchain technology have significantly influenced several sectors, such as banking, healthcare, and supply chain networks. Because of its distinct attributes, like decentralization, trustworthiness, and security, this technology has recently been employed in the field of education. While the blockchain is bright, several problems, such as legal, immutability, and scalability questions, continue to hinder its adoption in education. In this paper, we look at educational application system in terms of blockchain-based solutions that have been created for educational purposes, as well as the potential challenges of blockchain technology in the field of education. © 2024 IEEE.

关键词： Blockchain technology educational application

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