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ON THE POSITIVITY OF 2D FRACTIONAL LINEAR ROESSER MODEL USING THE CONFORMABLE DERIVATIVE

UPB Scientific Bulletin, Series A: applied mathematics and Physics 2023年第2期85卷 103-114页

作者： Ghezzar, Mohammed Amine Berilha, Amel Benyettou, Kamel Bouagada, Djillali National Higher School of Mathematics Algeria ACSY Team-Laboratory of Pure and Applied Mathematics P.O.Box 75 Sidi Abdellah Mahelma16093 Algeria Abdelhamid Ibn Badis University Mostaganem. ACSY Team-Laboratory of Pure and Applied Mathematics Department of Mathematics and Computer Science Faculty SEI BP 227/118 Mostaganem27000 Algeria

In this paper, we focus on the positivity of 2D fractional linear hybrid systems (continuous-discrete time). Precisely, we investigate a new class of systems that are described by the Roesser model, in which the considered derivative is the conformable fractional derivative. A general solution is then given for these classes as well as necessary and sufficient conditions for their positivity. Finally, some numerical examples are given to illustrate our results. © 2023, Politechnica University of Bucharest. All rights reserved.

关键词： Hybrid systems

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First-Fit Coloring of Forests in Random Arrival Model 49

First-Fit Coloring of Forests in Random Arrival Model

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49th International Symposium on Mathematical Foundations of computer science, MFCS 2024

作者： Bosek, Bartlomiej Gutowski, Grzegorz Lasoń, Michal Przybylo, Jakub Institute of Theoretical Computer Science Faculty of Mathematics and Computer Science Jagiellonian University Kraków Poland Institute of Mathematics The Polish Academy of Sciences ul. Śniadeckich 8 Warszawa00-656 Poland AGH University of Krakow Faculty of Applied Mathematics al. A. Mickiewicza 30 Kraków30-059 Poland

ISBN: (纸本)9783959773355

We consider a graph coloring algorithm that processes vertices in order taken uniformly at random and assigns colors to them using First-Fit strategy. We show that this algorithm uses, in expectation, at most (1 + o(1)) · ln n / ln ln n different colors to color any forest with n vertices. We also construct a family of forests that shows that this bound is best possible. © Bartlomiej Bosek, Grzegorz Gutowski, Michal Lasoń, and Jakub Przybylo.

关键词： Graph algorithms

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Improving Group Lasso for High-Dimensional Categorical Data 23rd

Improving Group Lasso for High-Dimensional Categorical Data

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23rd International Conference on Computational science, ICCS 2023

作者： Nowakowski, Szymon Pokarowski, Piotr Rejchel, Wojciech Soltys, Agnieszka Institute of Applied Mathematics and Mechanics University of Warsaw Warsaw Poland Faculty of Physics University of Warsaw Warsaw Poland Faculty of Mathematics and Computer Science Nicolaus Copernicus University Toruń Poland

ISBN: (纸本)9783031360206

Sparse modeling or model selection with categorical data is challenging even for a moderate number of variables, because roughly one parameter is needed to encode one category or level. The Group Lasso is a well known efficient algorithm for selection of continuous or categorical variables, but all estimates related to a selected factor usually differ. Therefore, a fitted model may not be sparse, which makes the model interpretation difficult. To obtain a sparse solution of the Group Lasso, we propose the following two-step procedure: first, we reduce data dimensionality using the Group Lasso;then, to choose the final model, we use an information criterion on a small family of models prepared by clustering levels of individual factors. In the consequence, our procedure reduces dimensionality of the Group Lasso and strongly improves interpretability of the final model. What is important, this reduction results only in the small increase of the prediction error. In the paper we investigate selection correctness of the algorithm in a sparse high-dimensional scenario. We also test our method on synthetic as well as the real data sets and show that it outperforms the state of the art algorithms with respect to the prediction accuracy, model dimension and execution time. Our procedure is contained in the R package DMRnet and available in the CRAN repository. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Forecasting

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Discrete GWO Optimized Data Aggregation for Reducing Transmission Rate in IoT

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computer Systems science & Engineering 2023年第3期44卷 1869-1880页

作者： S.Siamala Devi K.Venkatachalam Yunyoung Nam Mohamed Abouhawwash Department of Computer Science and Engineering Sri Krishna College of TechnologyCoimbatore641042India Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

The conventional hospital environment is transformed into digital transformation that focuses on patient centric remote approach through advanced *** diagnosis of many diseases will improve the patient *** cost of health care systems is reduced due to the use of advanced technologies such as Internet of Things(IoT),Wireless Sensor Networks(WSN),Embedded systems,Deep learning approaches and Optimization and aggregation *** data generated through these technologies will demand the bandwidth,data rate,latency of the *** this proposed work,efficient discrete grey wolf optimization(DGWO)based data aggregation scheme using Elliptic curve Elgamal with Message Authentication code(ECEMAC)has been used to aggregate the parameters generated from the wearable sensor devices of the *** nodes that are far away from edge node will forward the data to its neighbor cluster head using *** scheme will reduce the number of transmissions over the *** aggregated data are preprocessed at edge node to remove the noise for better *** node will reduce the overhead of cloud *** aggregated data are forward to cloud server for central storage and *** proposed smart diagnosis will reduce the transmission cost through aggrega-tion scheme which will reduce the energy of the *** cost for proposed system for 300 nodes is 0.34μ*** energy cost of existing approaches such as secure privacy preserving data aggregation scheme(SPPDA),concealed data aggregation scheme for multiple application(CDAMA)and secure aggregation scheme(ASAS)are 1.3μJ,0.81μJ and 0.51μJ *** optimization approaches and encryption method will ensure the data privacy.

关键词： Discrete grey wolf optimization data aggregation cloud computing IoT WSN smart healthcare elliptic curve elgamal energy optimization

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Towards new realities: Implications of personalized online layers in our daily lives

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i-com 2024年第2期23卷 221-229页

作者： Herder, Eelco Stojko, Laura Strecker, Jannis Neumayr, Thomas Yigitbas, Enes Augstein, Mirjam Department of Information and Computing Sciences Utrecht University Utrecht Netherlands Department of Computer Science University of the Bundeswehr Munich Neubiberg Germany Institute of Computer Science University of St. Gallen St. Gallen Switzerland Research Group Personalized Environments and Collaborative Systems University of Applied Sciences Upper Austria Hagenberg Austria Faculty of Electrical Engineering Computer Science and Mathematics Paderborn University Paderborn Germany

We are currently in a period of upheaval, as many new technologies are emerging that open up new possibilities to shape our everyday lives. Particularly, within the field of Personalized Human-computer Interaction we observe high potential, but also challenges. In this article, we explore how an increasing amount of online services and tools not only further facilitates our lives, but also shapes our lives and how we perceive our environments. For this purpose, we adopt the metaphor of personalized 'online layers' and show how these layers are and will be interwoven with the lives that we live in the 'human layer' of the real world. © 2024 the author(s), published by De Gruyter, Berlin/Boston.

关键词： Human computer interaction

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Teaching & Learning Analytics for Data-Based Optimization of Teaching and Learning Processes in Courses with Blended Learning 30

Teaching & Learning Analytics for Data-Based Optimization of...

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30th International Conference on Software, Telecommunications and computer Networks, SoftCOM 2022

作者： Mehnen, Lars Pohn, Birgit Blaickner, Matthias Mandl, Thomas Dregely, Isabel University of Applied Sciences Technikum Wien Faculty Computer Science & Applied Mathematics Austria University of Applied Sciences Technikum Wien Department of Computer Science Austria

ISBN: (数字)9789532901177

ISBN: (纸本)9789532901177

Learning Management Systems (LMS), such as Moodle, enable the rapid progress of digitisation in teaching, which is no longer only taking place in the lecture hall, but increasingly 'online' and asynchronously. New didactic concepts (blended learning, 'flipped classroom') consist of alternating self-learning and face-to-face phases, with the former taking place in the LMS, i.e. online. However, no analysis has yet been carried out as to how students act with the material in the self-learning phase, or the teachers are not provided with any information about the learning progress of the students during the self-learning phase. In this paper, concepts of learning and teaching analytics are presented to answer these questions and to integrate the measures derived from them into the teaching processes in a sustainable manner. © 2022 University of Split, FESB.

关键词： Learning systems

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MOCBOA:Multi-Objective Chef-Based Optimization Algorithm Using Hybrid Dominance Relations for Solving Engineering Design Problems

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computer Modeling in Engineering & sciences 2025年第4期143卷 967-1008页

作者： Nour Elhouda Chalabi Abdelouahab Attia Abdulaziz S.Almazyad Ali Wagdy Mohamed Frank Werner Pradeep Jangir Mohammad Shokouhifar Computer Science Department University of M’silaIchebiliaM’sila28000Algeria Computer ScienceDepartment Mohamed El Bachir El IbrahimiUniversity of Bordj BouArreridjBordj BouArreridj34000Algeria Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11931Jordan Faculty of Mathematics Otto-von-Guericke UniversityMagdeburg39016Germany University Centre for Research and Development Chandigarh UniversityMohali140413India Department of Electrical and Computer Engineering Shahid Beheshti UniversityTehran14399Iran DTU AI and Data Science Hub(DAIDASH) Duy Tan UniversityDa Nang550000Vietnam

Multi-objective optimization is critical for problem-solving in engineering,economics,and *** study introduces the Multi-Objective Chef-Based Optimization Algorithm(MOCBOA),an upgraded version of the Chef-Based Optimization Algorithm(CBOA)that addresses distinct *** approach is unique in systematically examining four dominance relations—Pareto,Epsilon,Cone-epsilon,and Strengthened dominance—to evaluate their influence on sustaining solution variety and driving convergence toward the Pareto *** comparison investigation,which was conducted on fifty test problems from the CEC 2021 benchmark and applied to areas such as chemical engineering,mechanical design,and power systems,reveals that the dominance approach used has a considerable impact on the key optimization measures such as the hypervolume *** paper provides a solid foundation for determining themost effective dominance approach and significant insights for both theoretical research and practical applications in multi-objective optimization.

关键词： Multi-objective optimization chef-based optimization algorithm(CBOA) pareto dominance epsilon dominance cone-epsilon dominance strengthened dominance

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Numerical Computation of SEIR Model for the Zika Virus Spreading

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computers, Materials & Continua 2023年第4期75卷 2155-2170页

作者： Suthep Suantai Zulqurnain Sabir Muhammad Asif Zahoor Raja Watcharaporn Cholamjiak Data Science Research Center Department of MathematicsFaculty of ScienceChiang Mai UniversityChiang Mai50200Thailand Research Group in Mathematics and Applied Mathematics Faculty of ScienceChiang Mai UniversityChiang Mai50200Thailand Department of Mathematics and Statistics Hazara UniversityMansehraPakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Future Technology Research Center National Yunlin University of Science and Technology123 University RoadSection 3DouliouYunlinspan64002Taiwan School of Science University of PhayaoPhayao 56000Thailand

The purpose of this study is to present the numerical performancesand interpretations of the SEIR nonlinear system based on the Zika virusspreading by using the stochastic neural networks based intelligent computingsolver. The epidemic form of the nonlinear system represents the four dynamicsof the patients, susceptible patients S(y), exposed patients hospitalized inhospital E(y), infected patients I(y), and recovered patients R(y), i.e., SEIRmodel. The computing numerical outcomes and performances of the systemare examined by using the artificial neural networks (ANNs) and the scaledconjugate gradient (SCG) for the training of the networks, i.e., *** correctness of the ANNs-SCG scheme is observed by comparing theproposed and reference solutions for three cases of the SEIR model to solvethe nonlinear system based on the Zika virus spreading dynamics throughthe knacks of ANNs-SCG procedure based on exhaustive *** outcomes of the ANNs-SCG algorithm are found consistently in goodagreement with standard numerical solutions with negligible errors. Moreover,the procedure’s constancy, dependability, and exactness are perceived by usingthe values of state transitions, error histogram measures, correlation, andregression analysis.

关键词： SEIR nonlinear system Zika virus artificial neural networks scaled conjugate gradient statistical measures

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A Dirichlet inclusion problem on Finsler manifolds 23

A Dirichlet inclusion problem on Finsler manifolds

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23rd IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2023

作者： Mester, Agnes Szilak, Karoly Babes-Bolyai University Faculty of Mathematics and Computer Science Cluj-Napoca Romania Óbuda University John von Neumann Faculty of Informatics Budapest Hungary Óbuda University Doctoral School of Applied Informatics and Applied Mathematics Budapest Hungary

ISBN: (纸本)9798350342949

In this paper we study a Dirichlet-type differential inclusion involving the Finsler-Laplace operator defined on a complete Finsler manifold. Depending on the positive λ parameter of the problem, we establish non-existence, as well as existence and multiplicity results by applying non-smooth variational methods. The article's significance is given by the synthesis of the non-smooth context with the highly nonlinear problem inherent in the general Finslerian framework. © 2023 IEEE.

关键词： Laplace transforms

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Textual Coverage of Eventive Entries in Lexical Semantic Resources 30

Textual Coverage of Eventive Entries in Lexical Semantic Res...

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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024

作者： Fučíková, Eva Fernández-Alcaina, Cristina Hajič, Jan Urešová, Zdeňka Institute of Formal and Applied Linguistics Charles University Faculty of Mathematics and Physics Computer Science School Malostranské nám. 25 Prague 1 Czech Republic

ISBN: (纸本)9782493814104

This short paper focuses on the coverage of eventive entries of some well-known lexical semantic resources when applied to random running texts taken from the internet. In order to get the widest coverage, only verbs have been chosen for the comparison, to get as many resources as possible (even though some of the resources cover other parts of speech as well). While coverage gaps are often reported for manually created lexicons (which is the case of most semantically-oriented lexical ones), it was our aim to quantify these gaps, cross-lingually, on a new purely textual resource set produced by the HPLT Project from crawled internet data. Several English, German, Spanish and Czech lexical semantic resources have been selected for this experiment. We also describe the challenges related to the fact that these resources are (to a varying extent) semantically oriented, meaning that the texts have to be preprocessed to obtain lemmas (base forms) and some types of MWEs before the coverage can be reasonably evaluated, and thus the results are necessarily only approximate. The coverage of these resources, with some exclusions as described in the paper, range from 41.00% to 97.33%, confirming the need to expand at least some (even well-known) resources to cover the prevailing source of today's textual resources with regard to lexical units describing events or states (or possibly other eventive mentions). © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

关键词： Semantics

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