Recently, an increasing demand for low-latency tasks such as VR/AR necessitates stringent latency requirements. Traditionally, low-latency tasks have been offloaded to base stations (BSs) with superior computing capab...
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Fuzzy relation inequalities (FRIs) play a crucial role in various optimization and decision-making problems that involve uncertainty and imprecision. The solution of such inequalities has been an active area of resear...
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Computer programming skills are essential for today’s employment market, mainly when studied from a young age. However, due to the constantly increasing number of such applications and various customer reviews, compr...
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When users apply for an account in the "Tianqing" system, they can only fill in a maximum of 3 IP addresses bound to the account, so the software developed based on "Tianqing" can only theoreticall...
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Systems on time scales incorporate continuous- and discrete-time dynamical systems. They can serve as models of real systems from various areas. Positive systems on time scales are studied here in more detail. Such sy...
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The proceedings contain 46 papers. The special focus in this conference is on Security and Information Technologies with AI. The topics include: Authentication of Image Fidelity in Watermarking-QR-Code Approving Copyr...
ISBN:
(纸本)9789819777853
The proceedings contain 46 papers. The special focus in this conference is on Security and Information Technologies with AI. The topics include: Authentication of Image Fidelity in Watermarking-QR-Code Approving Copyright Systems;a Zero-Watermarking Image Scheme in Normalized Cross-Correlation with Robust Copyright Protections;a Novel Approach for Detecting and Analyzing Cyber-Attacks in Cyber-Physical Systems;white-Box Penetration Testing for Hash Collision Attack on Web applications;towards Zero Trust for Financial Sectors: A Proposed Framework on Trust Evaluation;FiT-DPKI: Decentralized Public Key Infrastructure with Flexibility and Transparency for IoT Networks;Revolutionizing Healthcare: Case Studies of AI Algorithms Transforming the Field of Medicine;analysis and Detection of Abnormal Transactions on Ethereum;feasibility Analysis Study on Constructing a Grid Intrusion Detection System Using Semi-supervised Learning Models;Securing NLP Systems: A Comprehensive AI-Based Approach;A New Scheme Modeling Gym Membership Transactions with NFT Systems;A Text to Human-Like Speech Using Tacotron-Based TTS Model;A Novel Malware Classification Using CNN-SVM Deep Learning Method Based on Transfer Learning Architecture;enhancing Project programming Hour Prediction with Regression Analysis Techniques—A Case Study of Company D;a New Traceable One-Time Address Scheme Secure Against Privilege Escalation Attack;An Object-Based Multi-level Authentication Framework for AR e-Book;a Door Lock System Based on Visual Cryptography;Automatic APT Attack Reconstruction Supporting Lateral Movement;using Open-Source Intelligence to Archive Criminal Organizations;FIDO-Based Access Control Mechanism in Named Data Networking;empirical Approach to a Fine-Tuning Using Forgetting in Large Language Models;automatic Wound Segmentation with Deep Convolutional Neural Networks;Prediction of the Prevalence of COVID-19 Using Epidemic Differential Equations and Deep Learning Network.
This study investigates the problem of determining the minimum distance between two smooth 3D curves. We propose its solution on the basis of the newly formulated idea of Charged Balls Method. The main idea behind thi...
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ISBN:
(纸本)9783031734199;9783031734205
This study investigates the problem of determining the minimum distance between two smooth 3D curves. We propose its solution on the basis of the newly formulated idea of Charged Balls Method. The main idea behind this method is the physical model which tends to the solution of the original problem. We can derive equations of motion for the system and apply the difference scheme for the solution of the obtained ordinary differential equations. This is the way we get an iterative algorithm for the initial problem. We employ Lyapunov theory of stability to prove the convergence of the proposed method. More specifically, the Barbashin-Krasovskii theorem on asymptotic stability is employed. The convergence rate of the algorithm is analyzed and the corresponding results are presented. We provide a number of numerical examples to demonstrate its work. These examples acknowledge the effectiveness of the method and stresses that the choice of the parameters one may significantly affect the convergence rate.
Composite materials are replacing the conventional materials in various structural engineering applications where high specific strength and stiffness properties are important. Comprehensive understanding of the behav...
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The development of main pipeline networks for water transportation involves widespread and heavy usage of modern measurement and computing equipment, and remote control systems. The magnitude of the hydraulic resistan...
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ISBN:
(纸本)9783031734168;9783031734175
The development of main pipeline networks for water transportation involves widespread and heavy usage of modern measurement and computing equipment, and remote control systems. The magnitude of the hydraulic resistance coefficient of pipeline sections has a significant impact on water motion in pipelines. Over an extended period of pipeline operation, the hydraulic resistance coefficients of sections undergo changes, specifically, they increase due to the processes of hydrate formation on the inner surface of pipelines. Therefore, it is of great practical importance to involve mathematical methods for identifying hydraulic resistance coefficients for operational monitoring of the condition of pipeline network sections, which makes it possible to identify suspicious areas where hydrate formation processes have actively begun to occur, which significantly affects the loss of fluid energy, as a result of which it is necessary to artificially increase the energy of liquid at pumping (compressor) stations. We consider an approach to identifying the hydraulic resistance coefficient of a linear segment within a water supply network. The considered identification problem is reduced to a class of finite-dimensional optimization problems, for the solution of which we propose to use effective first-order finite-dimensional numerical optimization methods.
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