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A STUDY ON SOME CLASSES OF PANTOGRAPH LANGEVIN FRACTIONAL DIFFERENTIAL PROBLEMS WITH NONLOCAL CONDITIONS

Journal of Mathematical Sciences (United States) 2025年 1-18页

作者： Bouzid, Houari Benali, Abdelkader Salim, Abdelkrim Erhan, İnci M. Department of Mathematics Faculty of Exact Science and Informatics Laboratory of Mathematics and Applications (LMA) Hassiba Benbouali University of Chlef Ouled Fares Chlef 02000 Algeria Faculty of Technology Hassiba Benbouali University of Chlef Chlef 02000 Algeria Laboratory of Mathematics Djillali Liabes University of Sidi Bel-Abbes Sidi Bel-Abbes 22000 Algeria Department of Computer Engineering Aydın Adnan Menderes University Aydın 09010 Turkey

This paper concentrates on the examination of a class of nonlocal initial value problems for Langevin fractional differential equations featuring the ψ-Caputo fractional derivative within Banach spaces. By utilizing Banach’s fixed-point theorem, we establish the uniqueness of the solutions to these problems. The existence of solutions is then confirmed using Schaefer’s and Darbo’s fixed-point theorems. Finally, we provide examples to illustrate our findings. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Darbo theorem Fractional differential equations (FDE) Measure of noncompactness ψ-fractional integral

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Optimization of the Public Transport System Using Data Analysis Methods 4

Optimization of the Public Transport System Using Data Analy...

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4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2022

作者： Kasatkina, Ekaterina Vavilova, Daiana Ketova, Karolina Institute of Informatics and Computer Engineering Kalashnikov Izhevsk State Technical University Izhevsk Russia Kalashnikov Izhevsk State Technical University Faculty of Mathematics and Natural Sciences Izhevsk Russia

ISBN: (数字)9781665456593

ISBN: (纸本)9781665456593

The system of public transport movement in the urban environment has been investigated using modern methods of data analysis. This approach allows to optimize the work of public transport and thereby improve the quality of population life. When this problem is decided, for the first time, such an interdisciplinary approach is used, which combines elements of linear algebra, graph theory and methods of statistical information processing. Possible problem solutions of planning the topology in public transport system are proposed to overcome the problem of the presence of duplicating routes, depending on their duplication coefficients. The practical task of data analysis of the public transport traffic pattern in order to identify duplicate routes was solved for the system of the city of Izhevsk (Udmurt Republic). The studied transport system includes 323 stopping points and 55 routes of urban public transport. The information presented on the site of the interactive geoinformation system (IGIS) was used in the numerical calculations. The routes duplication coefficients were calculated by the methods of correlation analysis, and their significance was assessed by the Student's criterion. Based on the coefficients and duplicating routes variants, specific methods for solving the problem of planning the topology of a transport network are proposed. Calculations are shown that in order to overcome the problem of duplication of routes in the public transport system of Izhevsk, more than 28 routes should be synchronized, and 6 public transport routes should be replaced by 3 routes as a result of their partial merging. © 2022 IEEE.

关键词： Graph theory

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Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments

Obstacle Identification and Ellipsoidal Decomposition for Fa...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Mehmetcan Kaymaz Nazım Kemal Ure Faculty of Aeronautics and Astronautics Istanbul Technical University Istanbul Turkey Faculty of Computer and Informatics Engineering Istanbul Technical University Istanbul Turkey

Collision avoidance in the presence of dynamic obstacles in unknown environments is one of the most critical challenges for unmanned systems. In this paper, we present a method that identifies obstacles in terms of ellipsoids to estimate linear and angular obstacle velocities. Our proposed method is based on the idea of any object can be approximately expressed by ellipsoids. To achieve this, we propose a method based on variational Bayesian estimation of Gaussian mixture model, the Kyachiyan algorithm, and a refinement algorithm. Our proposed method does not require knowledge of the number of clusters and can operate in real-time, unlike existing optimization-based methods. In addition, we define an ellipsoid-based feature vector to match obstacles given two timely close point frames. Our method can be applied to any environment with static and dynamic obstacles, including ones with rotating obstacles. We compare our algorithm with other clustering methods and show that when coupled with a trajectory planner, the overall system can efficiently traverse unknown environments in the presence of dynamic obstacles.

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Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization

arXiv

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arXiv 2023年

作者： Nüßlein, Jonas Zielinski, Sebastian Gabor, Thomas Linnhoff-Popien, Claudia Feld, Sebastian Institute for Informatics LMU Munich Germany Faculty of Electrical Engineering Mathematics and Computer Science TU Delft Netherlands

We introduce a novel approach to translate arbitrary 3-sat instances to Quadratic Unconstrained Binary Optimization (qubo) as they are used by quantum annealing (QA) or the quantum approximate optimization algorithm (QAOA). Our approach requires fewer couplings and fewer physical qubits than the current state-of-the-art, which results in higher solution quality. We verified the practical applicability of the approach by testing it on a D-Wave quantum annealer. © 2023, CC BY.

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EEG Analysis of Human Perception based on Video-Audio Stimuli 1

EEG Analysis of Human Perception based on Video-Audio Stimul...

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1st International Conference on Smart Technologies Communication and Robotics, STCR 2021

作者： Manochitra, S. Partheepan, Ravinthiran Kalasalingam Institute of Technology Faculty of Computer Science and Engineering Tamilnadu Virudhunagar India Vytautas Magnus University Faculty of Informatics Master Programme - Applied Informatics Kaunas Lithuania

ISBN: (纸本)9781665418065

Emotions plays a potential role in human computer interaction which are having an obligatory models of cognitive measures. The emotions are dominated by the human physiological communication channels. Those emotions could affect several human activities like learning, decision making, communication, perception, cognitive and so on. Also, some of the emotions are quite difficult to measure and interpret and having difficulty in incorporating them into a technology and design. On the other hand, state of the technologies has enabled us to capture the emotions and integrate them for the use of human computer interaction contexts. This paper delivers an attempt to model the emotions using electroencephalography (EEG). The video stimuli for the two representatives are based on a few negative, positive and neutral contents were shown to volunteers and EEG data was obtained. Further, EEG analysis were experimented and collected about their emotional states with subject's self reports. This study determines that the human emotions could be modelled for affect assessment module or for the usage in human computer interaction and affect based intelligent interactions. © 2021 IEEE.

关键词： Human computer interaction

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Supporting the Episodic Application of Clinical Guidelines over Significant Time Periods

Supporting the Episodic Application of Clinical Guidelines o...

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34th Medical informatics Europe Conference, MIE 2024

作者： Ben Shahar, Bruria Shahar, Yuval Jaffe, Shai Cohen, Odeya Shalom, Erez Selivanova, Maya Rimon, Ephraim Goldstein, Ayelet Department of Software and Information Systems Engineering Ben-Gurion University Israel Department of Nursing Faculty of Health Sciences Ben-Gurion University Israel Nursing Informatics lab Faculty of Health Sciences Ben-Gurion University Israel Herzfeld Geriatric Rehabilitation Medical Center Clalit Health Services Israel Department of Computer Science Hadassah Academic College Jerusalem Israel

ISBN: (纸本)9781643685335

Medical errors contribute significantly to morbidity and mortality, emphasizing the critical role of Clinical Guidelines (GLs) in patient care. Automating GL application can enhance GL adherence, improve patient outcomes, and reduce costs. However, several barriers exist to GL implementation and real-time automated support. Challenges include creating a formalized, machine-comprehensible GL representation, and an episodic decision-support system for sporadic treatment advice. This system must accommodate the non-continuous nature of care delivery, including partial actions or partially met treatment goals. We describe the design and implementation of an episodic GL-based clinical decision support system and its retrospective technical evaluation using patient records from a geriatric center. Initial evaluation scores of the e-Picard system were promising, with a mean 94% correctness and 90% completeness based on 50 random pressure ulcer patients. Errors were mainly due to knowledge specification, algorithmic issues, and missing data. Post-corrections, scores improved to 100% correctness and a mean 97% completeness, with missing data still affecting completeness. The results validate the system's capability to assess guideline adherence and provide quality recommendations. Despite initial limitations, we have demonstrated the feasibility of providing, through the e-Picard episodic algorithm, realistic medical decision-making support for noncontinuous, intermittent consultations. © 2024 The Authors.

关键词： Random errors

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Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas

arXiv

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arXiv 2024年

作者： Al-Shareeda, Sarah Oktug, Sema F. Yaslan, Yusuf Yurdakul, Gokhan Canberk, Berk Faculty of Computer Engineering and Informatics Istanbul Technical University Turkey BTS Group Turkey School of Computing Engineering and The Built Environment Edinburgh Napier University United Kingdom

This paper investigates the potential of Digital Twins (DTs) to enhance network performance in densely populated urban areas, specifically focusing on vehicular networks. The study comprises two phases. In Phase I, we utilize traffic data and AI clustering to identify critical locations, particularly in crowded urban areas with high accident rates. In Phase II, we evaluate the advantages of twinning vehicular networks through three deployment scenarios: edge-based twin, cloud-based twin, and hybrid-based twin. Our analysis demonstrates that twinning significantly reduces network delays, with virtual twins outperforming physical networks. Virtual twins maintain low delays even with increased vehicle density, such as 15.05 seconds for 300 vehicles. Moreover, they exhibit faster computational speeds, with cloud-based twins being 1.7 times faster than edge twins in certain scenarios. These findings provide insights for efficient vehicular communication and underscore the potential of virtual twins in enhancing vehicular networks in crowded areas while emphasizing the importance of considering real-world factors when making deployment decisions. © 2024, CC BY.

关键词： Big data

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Cardiac Arrhythmia Disease Classifier Model Based on a Fuzzy Fusion Approach

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computers, Materials & Continua 2023年第5期75卷 4485-4499页

作者： Fatma Taher Hamoud Alshammari Lobna Osman Mohamed Elhoseny Abdulaziz Shehab Eman Elayat College of Technological Innovation Zayed UniversityDubaiUAE Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaSaudi Arabia Department of Electronics and Communications Engineering Delta Higher Institute for Engineering&TechnologyMansouraEgypt College of Computing and Informatics University of SharjahSharjahUnited Arab Emirates Department of Information Systems Mansoura UniversityMansoura35516Egypt Department of Teacher Preparation Faculty of Specific EducationMansoura UniversityMansouraEgypt

Cardiac diseases are one of the greatest global health *** to the high annual mortality rates,cardiac diseases have attracted the attention of numerous researchers in recent *** article proposes a hybrid fuzzy fusion classification model for cardiac arrhythmia *** fusion model is utilized to optimally select the highest-ranked features generated by a variety of well-known feature-selection *** ensemble of classifiers is then applied to the fusion’s *** proposed model classifies the arrhythmia dataset from the University of California,Irvine into normal/abnormal classes as well as 16 classes of ***,at the preprocessing steps,for the miss-valued attributes,we used the average value in the linear attributes group by the same class and the most frequent value for nominal ***,in order to ensure the model optimality,we eliminated all attributes which have zero or constant values that might bias the results of utilized *** preprocessing step led to 161 out of 279 attributes(features).Thereafter,a fuzzy-based feature-selection fusion method is applied to fuse high-ranked features obtained from different heuristic feature-selection *** short,our study comprises three main blocks:(1)sensing data and preprocessing;(2)feature queuing,selection,and extraction;and(3)the predictive *** proposed method improves classification performance in terms of accuracy,F1measure,recall,and precision when compared to state-of-the-art *** achieves 98.5%accuracy for binary class mode and 98.9%accuracy for categorized class mode.

关键词： Cardiac arrhythmia preprocessing missing values classification model fusion

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Possibilities of Applying Augmented Reality Elements in the Concept of Lean Management 7th

Possibilities of Applying Augmented Reality Elements in the ...

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7th EAI International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures, EAI FABULOUS 2023

作者： Hrehova, Stella Kaščak, Jakub Tauberová, Rebeka Martiček, Matúš Faculty of Manufacturing Technologies with a Seat in Prešov Department of Industrial Engineering and Informatics Technical University of Košice Bayerova 1 Prešov080 01 Slovakia Faculty of Manufacturing Technologies with a Seat in Prešov Department of Computer Aided Manufacturing Technologies Technical University of Košice Štúrova 31 Prešov080 01 Slovakia

ISBN: (纸本)9783031500503

Increasing efficiency and reducing costs in production is currently a very desirable trend. In many areas, we can see the trend of introducing or improving lean techniques and tools, the task of which is to get as close as possible to achieving the ideal state in terms of customer satisfaction and the elimination of any losses. The fundamental benefit of introducing the lean production methodology into the corporate philosophy is the constant effort to achieve perfection and the periodic application of improvement. In this context, lean management is based on the condition that there is no level of perfection with which the company should be satisfied and which cannot be further developed. The introduction of the Industry 4.0 philosophy and the development of information technologies brought new possibilities for lean management. It offers new tools and options that can increase the efficiency of management and the achievement of set goals. In the presented contribution, we will focus on the possibilities of using augmented reality tools for selected areas of lean management. Augmented reality is a key technology enabling the implementation of the Industry 4.0 concept. This technology makes it possible to bridge the gap between the physical world and the increasingly important digital environment. We can see its application in many areas. © ICST Institute for computer Sciences, Social informatics and Telecommunications engineering 2024.

关键词： Augmented reality Lean management Marker

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Expressivity of Planning with Horn Description Logic Ontologies 35

Expressivity of Planning with Horn Description Logic Ontolog...

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35th International Workshop on Description Logics, DL 2022

作者： Borgwardt, Stefan Hoffmann, Jörg Kovtunova, Alisa Krötzsch, Markus Nebel, Bernhard Steinmetz, Marcel Institute of Theoretical Computer Science Technische Universität Dresden Dresden01062 Germany Saarland University Saarland Informatics Campus Germany Faculty of Engineering University of Freiburg Germany

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