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3rd International Workshop on Resource AWareness of Systems and Society, RAW 2024

作者： Maroun, Emad Jacob Pezzarossa, Luca Schoeberl, Martin Technical University of Denmark Department of Applied Mathematics and Computer Science Denmark

Telecommunication is a critical driver of economic and social development. 5G technologies are state-of-the-art in telecommunication, setting strong and open-ended requirements for implementing systems. Current systems for implementing baseband technologies in 5G depend on hardware separation to ensure high- and low-criticality tasks do not interfere in such a way as to violate guarantees. To increase performance and lower costs, this paper sets the research direction into future mixed-criticality systems that can handle both the high- and low-criticality tasks of the baseband unit. We analyze the 5G requirements and the common systems that currently implement them. We propose using T-CREST as the research platform with a specific architecture targeting mixed-criticality workloads. We present two cache proposals to reduce the interference of low-criticality tasks on high-criticality tasks but ensure high cache utilization and efficiency. The first cache proposal uses timeouts to automatically free cache lines reserved for high-criticality tasks. The second proposal uses contention tracking to limit how much low-criticality tasks may influence high-criticality tasks. Lastly, we propose a third cache architecture to unify the method and stack caches unique to T-CREST into a single level-2 cache. © 2024 Copyright © 2024 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： 5G mobile communication systems

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Brief Announcement: Distributed Maximum Flow in Planar Graphs 38

Brief Announcement: Distributed Maximum Flow in Planar Graph...

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38th International Symposium on Distributed Computing, DISC 2024

作者： Abd-Elhaleem, Yaseen Dory, Michal Parter, Merav Weimann, Oren Department of Computer Science University of Haifa Israel Department of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot Israel

ISBN: (纸本)9783959773522

The dual of a planar graph G is a planar graph G∗ that has a vertex for each face of G and an edge for each pair of adjacent faces of G. The profound relationship between a planar graph and its dual has been the algorithmic basis for solving numerous (centralized) classical problems on planar graphs involving distances, flows, and cuts. In the distributed setting however, the only use of planar duality is for finding a recursive decomposition of G [DISC 2017, STOC 2019]. In this paper, we extend the distributed algorithmic toolkit (such as recursive decompositions and minor-aggregations) to work on the dual graph G∗. These tools can then facilitate various algorithms on G by solving a suitable dual problem on G∗. Given a directed planar graph G with hop-diameter D, our key result is an Õ(D2)-round algorithm1 for Single Source Shortest Paths on G∗, which then implies an Õ(D2)-round algorithm for Maximum st-Flow on G. Prior to our work, no Õ(Poly(D))-round algorithm was known for Maximum st-Flow. We further obtain a D·no(1)-rounds (1 + ϵ)-approximation algorithm for Maximum st-Flow on G when G is undirected and s and t lie on the same face. Finally, we give a near optimal Õ(D)-round algorithm for computing the weighted girth of G. The main challenges in our work are that G∗ is not the communication graph (e.g., a vertex of G is mapped to multiple vertices of G∗), and that the diameter of G∗ can be much larger than D (i.e., possibly by a linear factor). We overcome these challenges by carefully defining and maintaining subgraphs of the dual graph G∗ while applying the recursive decomposition on the primal graph G. The main technical difficulty, is that along the recursive decomposition, a face of G gets shattered into (disconnected) components yet we still need to treat it as a dual node. © Yaseen Abd-Elhaleem, Michal Dory, Merav Parter, and Oren Weimann.

关键词： Approximation algorithms

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A New Notion of Reserve for Power Systems with High Penetration of Storage and Flexible Demand

IEEE Transactions on Energy Markets, Policy and Regulation

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IEEE Transactions on Energy Markets, Policy and Regulation 2023年第2期1卷 131-144页

作者： Tsaousoglou, Georgios Technical University of Denmark Department of Applied Mathematics and Computer Science Lyngby2800 Denmark

Modern power systems face important demand uncertainties due to increasing penetration of behind-the-meter renewable generation. System operators need to account for such uncertainties when solving the unit commitment and economic dispatch problem. The research literature has proposed advanced methods for decision making under uncertainty but, in practice, actual system operators put more trust in the tried-and-true approach of dealing with future uncertainty by committing reserves. In this paper, the unit commitment and economic dispatch problem is formulated for a system with high penetration of storage and the inadequacy of methods based on the traditional notion of reserves is exposed. Namely, in contrast to a generator, a storage unit can provide reserve capacity in a number of timeslots but it cannot provide an analogous reserve activation in all of those timeslots due to the battery's energy being depleted. After discussing two plausible but inadequate approaches, a new, generalized notion of reserves is proposed, which addresses these issues while not abandoning the practical, reserve-based approach for the operator's problem, thus making the best of both worlds. The proposed scheme enables storage units to provide reserves, without putting the system at risk of energy scarcity, which is shown to result in substantial cost savings. © 2023 IEEE.

关键词： Decision making

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Arbitrary style transfer system with split-and-transform scheme

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Multimedia Tools and Applications 2024年第23期83卷 62497-62517页

作者： Tu, Ching-Ting Lin, Hwei Jen Tsai, Yihjia Lin, Zi-Jun Department of Applied Mathematics National Chung Hsing University Taichung Taiwan Department of Computer Science and Information Engineering Tamkang University New Taipei Taiwan

For the subject of arbitrary image style transfer, there have been some proposed architectures that directly compute the transformation matrix of the whitening and coloring transformation (WCT) to obtain more satisfactory transformation results. However, calculating the transformation matrix of WCT is time-consuming. Li et al. trained a linear transformation module to generate a WCT transformation matrix for any pair of images, i.e., content image and style image, to avoid complex calculations and improves time efficiency. In this work, we introduce a flexible arbitrary image style transfer framework based on the LST, which uses deep neural networks to train a linear transformation matrix as the standard matrix for WCT. For the first part, inverse relationship between the Whitening matrix and the Coloring matrix w.r.t. the same image is enforced during the training of the linear transformation matrix, so that the resulting matrix will be more accurate and closer to the standard matrix of WCT. For the second part, a split-and-transform scheme is proposed. Unlike LST, which transforms the block of feature maps as a whole, the split-and-transform scheme divides the feature block into several smaller blocks and transforms them individually, so that the transformation is more localized, and the more the number of divided blocks, the more localized. In addition, the proposed split-and-transform scheme allows users to determine the number of divided blocks to flexibly control the locality of the transformations. Experimental results demonstrate the effectiveness and flexibility of the proposed framework by the high-quality stylized images and adjustable balance between globality and locality of transformations. The use of the split-and-transform scheme can reduce the computational time while preserving or even improving the stylization results. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Linear transformations

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Modelling and simulation of energy management of power-split hybrid electric vehicles using the discrete EVent system specification

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International Journal of Vehicle Systems Modelling and Testing 2024年第1期18卷 33-61页

作者： Maatoug, Abdelfettah Kharoubi, Sahraoui Maaskri, Moustafa Belalem, Ghalem Mahmoudi, Said Faculty of Applied Sciences Science and Technology Department University of Tiaret Tiaret14000 Algeria Faculty of Mathematics and Computer Science Computer Science Department University of Tiaret Tiaret14000 Algeria Faculty of Applied Sciences Electrical Engineering Department University of Tiaret Tiaret14000 Algeria Faculty of Exact and Applied Sciences Computer Science Department University of Oran 1 Ahmed Ben Bella Oran31000 Algeria Faculty of Engineering Computer Science Department University of Mons Mons7000 Belgium

This work provides a basis for studying energy management optimisation in power-split hybrid electric vehicles (PSHEVs) to reduce fuel consumption and increase powertrain efficiency by enforcing a strategy related to battery level and vehicle speed. Three modes were used to operate the vehicle to meet different situations related to available energy and desired speed. These are particularly abundance mode, ascetic mode and optimal mode. For this, a system was designed based on several sub-models written in the discrete EVent system (DEVS) specification. The vehicle's power train and control strategy models were created in the DEVSimPy environment, and a joint simulation was carried out from the composite sub models until the overall model is reached. Simulation results under several driving cycles showed that the proposed system improves the energy consumption of the vehicle in different operating modes of the engines and gives more opportunities to adopt electric motors in vehicle transmission. © 2024 Inderscience Enterprises Ltd.

关键词： Energy management

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Unsupervised Assessment of Landscape Shifts Based on Persistent Entropy and Topological Preservation 1st

Unsupervised Assessment of Landscape Shifts Based on Persi...

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1st International Workshop on Discovering Drift Phenomena in Evolving Landscapes, DELTA 2024

作者： Basterrech, Sebastián Department of Applied Mathematics and Computer Science Technical University of Denmark Kongens Lyngby Denmark

ISBN: (纸本)9783031823459

Concept drift typically refers to the analysis of changes in data distribution. A drift in the input data can have negative consequences on a learning predictor and the system’s stability. The majority of concept drift methods emphasize the analysis of statistical changes in non-stationary data over time. In this context, we consider a slightly different perspective, where concept drift also integrates significant changes in the topological characteristics of the data *** this article, we introduce a novel framework for monitoring changes in multi-dimensional data streams. We explore variations in the topological structures of the data, presenting another angle on the standard concept *** developed approach is based on persistent entropy and topology-preserving projections in a continual learning scenario. The framework operates in both unsupervised and supervised environments. To show the utility of the proposed framework, we analyze the model across three scenarios using data streams generated with MNIST samples. The obtained results reveal the potential of applying topological data analysis for shift detection and encourage further research in this area. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Concept Drift Dimensionality reduction Distribution shifts Persistent entropy Self-organizing maps

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Problems in Video Conferencing-Mediated Teaching: Experiences of Three User Roles of a University in Bangladesh

Problems in Video Conferencing-Mediated Teaching: Experience...

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2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems, iCACCESS 2024

作者： Mansoor, Nafees Rozario, Anatte Kibria, Muhammad Golam Khalid, Md Saifuddin University of Liberal Arts Department of Computer Science and Engineering Bangladesh Department of Applied Mathematics and Computer Science Kongens Lyngby Denmark

ISBN: (纸本)9798350350289

Video-conferencing systems (VCS) became a defacto tool for online and hybrid teaching during COVID-19 and the gradual return to physical classrooms. As part of the EdViCon Erasmus+ project, towards defining the scenarios for improving teaching with additional portable tools by university teachers, this study reports users' problems in the context of the University of Liberal Arts Bangladesh (ULAB). Classroom observations, problem-tree analysis, interviews, and focus-group discussions with academics, e-learning and IT consultants, and students provide different perspectives on the central problems, underlying causes, and the effects of VCS use during live teaching sessions. While teachers emphasized the lack of resources and technical barriers, students' problem statement focused on the reduced quality of interactions due to the differences between VCS-mediated and physical classrooms, and the IT & e-learning professionals emphasized technological issues (audio, tone, lack of facial expression etc.), lack of collaboration, and differences in expectations among participants. The central contribution of this paper is three diagrams showing problem tree analysis from the perspectives of the three roles. Each of the causes, effects, and problem statements will be considered as point-of-view statements for generating ideas for supporting hardware and software tools and training on technology and pedagogy, © 2024 IEEE.

关键词： Students

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Automated soccer event detection and highlight generation for short and long views

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Multimedia Tools and Applications 2024年 1-21页

作者： Afzal, Maira Shah, Jamal Hussain ur Rehman, Saeed Khokhar, Fahad Ahmed Yasmin, Mussarat Kadry, Seifedine Department of Computer Science COMSATS University Islamabad Wah Campus Rawalpindi Pakistan Department of Mathematics and Information University of Florence Florence Italy Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon Department of Applied Data Science Noroff University College Kristiansand Norway

The computer vision field has wide applications in various areas, including sports. Almost all sports events have been exploiting the best features. Sports videos are structure-based, and due to this characteristic, these videos can be categorized into interesting and non-interesting events. Identifying the view of the video and separating important events from non-interesting events is challenging. However, correct view detection can lead to correct event detection. Various researchers have proposed many strategies for detecting events in sports videos. Significant research shows some gaps while generating highlights due to limited work available in the long or short view;there is still a need for some automated methods. The main purpose of this research work is to detect key events by normalizing the data, extracting features, fusing those features, and classifying them. In this research, events are detected by classification. A new dataset is created for research purposes. The benchmark dataset is divided into two subsets, which can be used separately or as part of a larger dataset. A proposed novel approach for event highlight generation in long and short view is presented using a fusion of AlexNet and VGGNet architectures to explore the model's efficiency in the context of accurate highlight generation deep learning models fused with handcrafted. AlexNet and VGG16 pre-trained deep CNN models are applied to extract deep prior features, which are then combined with HOG to improve the results. The proposed methodology undergoes evaluation on a dataset that we created, resulting in an accuracy of 99.6%. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Feature extraction

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Exponential Decay of Laminated Beam with Nonlinear Time-varying Delay and Microtemperature Effect

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Acta Mathematicae Applicatae Sinica 2025年第1期41卷 270-285页

作者： Imene LARIBI Ali KRELIFA Djamel OUCHENANE Fares YAZID Salah BOULAARAS Salah ZITOUNI Department of Mathematics Djilali Bounaama University of Khemis MilianaKhemis MilianaAlgeria Computer Science and Mathematics Laboratory Amar Telidji UniversityLaghouat 03000Algeria Laboratory of Pure and Applied Mathematics Amar Telidji UniversityLaghouat 03000Algeria Department of Mathematics College of ScienceQassim UniversityBuraydah 51452Saudi Arabia Department of Mathematics and Informatics University Mohamed-Cherif MessaadiaSouk AhrasAlgeria

This research paper addresses a topic of interest to many researchers and engineers due to its effective applications in various industrial *** focuses on the thermoelastic laminated beam model with nonlinear structural damping,nonlinear time-varying delay,and microtemperature *** primary goal is to establish the stability of the *** achieve this,and under suitable hypotheses,we demonstrate energy decay and construct a Lyapunov functional that leads to our results.

关键词： structural damping energy decay laminated beam microtemperature time-varying delay partial differential equations nonlinear equations

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Sampling and Forecasting Independent Data Via Clustered Bootstrap LSTM Models

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SN computer science 2024年第1期5卷 171页

作者： Kubheka, Sihle Department of Computer Science and Applied Mathematics University of Witswatersrand Johannesburg Campus Johannesburg 2000 South Africa

In this study we propose a clustered bootstrap sample procedure which adds clustering to the existing bootstrapping techniques currently used in the independent data literature. To assess the improvement of the clustered bootstrap method, we compare it to the existing block bootstrap. We used different data generators to show the improvement introduced by clustering of the blocks and we further validated the practical utility of this method, we apply it to real-world financial data-specifically, the exchange rate between the South African Rand (ZAR) and the US Dollar (USD). The results of this study is measured with the use of the MSE, MAE, MAPE, RMSE and RMSPE. The results from the MSE, MAE and MAPE as well as the DM test all shows that the clustered bootstrap methods shows improvement in forecasting. © 2024, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Bootstrapping Clustering Deep learning Deep Neural networks LSTM

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