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A VARIATIONAL ANALYSIS FOR THE MOVING FINITE ELEMENT METHOD FOR GRADIENTFLOWS

Journal of Computational mathematics 2023年第2期41卷 191-210页

作者： Xianmin Xu LSEC Institute of Computational Mathematics and Scientific/Engineering ComputingNCMISAMSSChinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

By using the Onsager principle as an approximation tool,we give a novel derivation for the moving finite element method for gradient flow *** show that the discretized problem has the same energy dissipation structure as the continuous *** enables us to do numerical analysis for the stationary solution of a nonlinear reaction diffusion equation using the approximation theory of free-knot piecewise *** show that under certain conditions the solution obtained by the moving finite element method converges to a local minimizer of the total energy when time goes to *** global minimizer,once it is detected by the discrete scheme,approximates the continuous stationary solution in optimal *** examples for a linear diffusion equation and a nonlinear Allen-Cahn equation are given to verify the analytical results.

关键词： Moving finite element method Convergence analysis Onsager principle

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Accurate threat hunting in industrial internet of things edge devices

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Digital Communications and Networks 2023年第5期9卷 1123-1130页

作者： Abbas Yazdinejad Behrouz Zolfaghari Ali Dehghantanha Hadis Karimipour Gautam Srivastava Reza M.Parizi Cyber Science Lab School of Computer ScienceUniversity of GuelphOntarioCanada Department of Electrical and Software Engineering University of CalgaryAlbertaCanada Department of Mathematics and Computer Science Brandon UniversityBrandonCanada College of Computing and Software Engineering Kennesaw State UniversityGAUSA Research Center for Interneural Computing China Medical UniversityTaichungTaiwanChina Department of Computer Science and Mathematics Lebanese American UniversityBeirut1102Lebanon

Industrial Internet of Things(IIoT)systems depend on a growing number of edge devices such as sensors,controllers,and robots for data collection,transmission,storage,and *** kind of malicious or abnormal function by each of these devices can jeopardize the security of the entire ***,they can allow malicious software installed on end nodes to penetrate the *** paper presents a parallel ensemble model for threat hunting based on anomalies in the behavior of IIoT edge *** proposed model is flexible enough to use several state-of-the-art classifiers as the basic learner and efficiently classifies multi-class anomalies using the Multi-class AdaBoost and majority *** evaluations using a dataset consisting of multi-source normal records and multi-class anomalies demonstrate that our model outperforms existing approaches in terms of accuracy,F1 score,recall,and precision.

关键词： IIoT Threat hunting Edge devices Multi-class anomalies Ensemble methods

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Statistical and Machine Learning Perspectives on Exoplanets Prediction and Classification 1

Statistical and Machine Learning Perspectives on Exoplanets ...

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1st International Conference on Innovations in Communications, Electrical and Computer engineering, ICICEC 2024

作者： Priya, M. Yagnasri Shendre, Sanjivani P. Kamble, Samrudhi S. Sridhar, Swetha Jayan, Sarada Amrita Vishwa Vidyapeetham Amrita School of Computing Dept. of Computer Science and Engineering Bengaluru India Amrita Vishwa Vidyapeetham Amrita School of Engineering Dept. of Mathematics Bengaluru India

ISBN: (纸本)9798350376517

Exoplanets are the planets orbiting stars out of our solar system. The exploration of such planets has become a growing field in astronomy but the analysis of the data related to such planets involves many challenges when traditional methods are used as this data is often vast and is obtained with the help of telescopes and space missions. This study proposes a methodology that aims to classify exoplanets, taken from datasets from the Kepler Objects of Interest (KOI) database and the NASA Exoplanet archive, as confirmed, candidate, or false positives. This approach makes use of modern analytical techniques, such as statistical analysis, probability theory, hypothesis testing, and machine learning (ML) algorithms, to facilitate the detection and classification of exoplanets. Clustering methods such as BIRCH and K-Means are also performed on the Planetary data. This study contributes to improving our knowledge and understanding of exoplanetary systems, thereby highlighting the relevance of modern analytical tools in the field of astronomy. © 2024 IEEE.

关键词： NASA

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Pairing-Free Blockchain-Assisted Certificateless Aggregation Signcryption Scheme for VANETs

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IEEE Internet of Things Journal 2025年第11期12卷 15545-15557页

作者： Wang, Yahui Peng, Cong Jia, Xiaoying Wen, Jiaming Zhang, Yuanyuan Xinyang Normal University School of Computer and Information Technology School of Software Xinyang464000 China Wuhan University School of Cyber Science and Engineering Wuhan430072 China South-Central Minzu University School of Mathematics and Statistics Wuhan430074 China Wuhan University Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan430072 China University of Wollongong Institute of Cybersecurity and Cryptology School of Computing and Information Technology WollongongNSW2522 Australia Hubei University of Technology School of computer science Wuhan430072 China

Smart vehicle applications play a crucial role in intelligent transportation systems, enabling sensor-equipped vehicles to establish dynamic networks for efficient collection, sharing, and aggregation. This significantly enhances road security and efficiency by transmitting crucial information to traffic authorities. However, partial research on certificateless aggregation signcryption (CLAS) scheme reveals an intriguing phenomenon where each proposed scheme consistently exhibits numerous security vulnerabilities, particularly susceptible to public key replacement attacks. To address these challenges, this paper proposes a blockchain-assisted certificateless aggregation sign-cryption scheme (BACLAS), leveraging blockchain technology to securely store users' public key on a distributed ledger and prevent public key replacement attacks effectively. Furthermore, it is a provably secure communication scheme for real-world Vehicle-to-Infrastructure (V2I) communication while addressing practical security concerns. The BACLAS scheme ensures security in terms of existential unforgeability against adaptive chosen message attacks (EUF-CMA) and indistinguishability against adaptive chosen ciphertext attacks (IND-CCA2) based on the hardness assumption of the elliptic curve discrete logarithm problem and computational Diffie-Hellman problem in the random oracle model. The proposed scheme effectively reduces computational costs and time consumption, resulting in a significant reduction of the computation burden ranging from 50.02% to 88.28% compared to other competitive schemes. Moreover, it successfully addresses the key-escrow problem, thereby achieving enhanced security properties. © 2014 IEEE.

关键词： Vehicular ad hoc networks

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An Effective Hybrid Metaheuristic Algorithm for Solving Global Optimization Algorithms

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Multimedia Tools and Applications 2024年第37期83卷 85103-85138页

作者： Seyyedabbasi, Amir Tareq Tareq, Wadhah Zeyad Bacanin, Nebojsa Computer Engineering Deptartment Faculty of Engineering and Natural Sciences Istinye University Istanbul Turkey Department of Mathematics Saveetha School of Engineering SIMATS Thandalam Tamilnadu India Faculty of Informatics and Computing Singidunum University Belgrade Serbia MEU Research Unit Middle East University Amman Jordan

Recently, the Honey Badger Algorithm (HBA) was proposed as a metaheuristic algorithm. Honey badger hunting behaviour inspired the development of this algorithm. In the exploitation phase, HBA performs poorly and stagnates at the local best solution. On the other hand, the sand cat swarm optimization (SCSO) is a very competitive algorithm compared to other common metaheuristic algorithms since it has outstanding performance in the exploitation phase. Hence, the purpose of this paper is to hybridize HBA with SCSO so that the SCSO can overcome deficiencies of the HBA to improve the quality of the solution. The SCSO can effectively exploit optimal solutions. For the research conducted in this paper, a hybrid metaheuristic algorithm called HBASCSO was developed. The proposed approach was evaluated against challenging CEC benchmark instances taken from CEC2015, CEC2017, and CEC2019 benchmark suites The HBASCSO is also evaluated concerning the original HBA, SCSO, as well as several other recently proposed algorithms. To demonstrate that the proposed method performs significantly better than other competitive algorithms, 30 independent runs of each algorithm were evaluated to determine the best, worst, mean, and standard deviation of fitness functions. In addition, the Wilcoxon rank-sum test is used as a non-parametric comparison, and it has been found that the proposed algorithm outperforms other algorithms. Hence, the HBASCSO achieves an optimum solution that is better than the original algorithms. © The Author(s) 2024.

关键词： Benchmarking

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Twitching Control for Pneumatic Artificial Muscle Actuators

Twitching Control for Pneumatic Artificial Muscle Actuators

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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Bogdan, Piotr A. Smith, Oliver Klein, Frederico B. Gianni, Mario University of Plymouth School of Engineering Computing and Mathematics Faculty of Science and Engineering United Kingdom University of Liverpool School of Electrical Engineering Electronics and Computer Science United Kingdom

ISBN: (纸本)9798350325706

In this work we present the design and development of a twitching control system for pneumatic artificial muscle (PAM) actuators. In this system, a shape memory alloy (SMA) poppet valve is used to control the flow of air pressurizing the inner bladder of a McKibben-based PAM. The valve is driven by pulse width modulation with changing frequency, allowing the PAM to resemble the mammalian muscles twitching. An adjustable passive exhaust orifice is used in place of an exhaust air valve to release the air pressure from the bladder mimicking natural muscle relaxation behaviour. Experiments under isometric and isotonic contractions show that the proposed control system reduces hysteresis of about 72% compared to continuous activation against 15% loss in contraction force with respect to conventional exhaust air valves. © 2023 IEEE.

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Maximizing Submodular+Supermodular Functions Subject to a Fairness Constraint

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Tsinghua Science and Technology 2024年第1期29卷 46-55页

作者： Zhenning Zhang Kaiqiao Meng Donglei Du Yang Zhou Beijing Institute for Scientific and Engineering Computing Beijing University of TechnologyBeijing 100124China Faculty of Management University of New BrunswickFredericton E3B 5A3Canada School of Mathematics and Statistics Shandong Normal UniversityJinan 250014China

We investigate the problem of maximizing the sum of submodular and supermodular functions under a fairness *** sum function is non-submodular in *** an offline model,we introduce two approximation algorithms:A greedy algorithm and a threshold greedy *** a streaming model,we propose a one-pass streaming *** also analyze the approximation ratios of these algorithms,which all depend on the total curvature of the supermodular *** total curvature is computable in polynomial time and widely utilized in the literature.

关键词： submodular function supermodular function fairness constraint greedy algorithm threshold greedy algorithm streaming algorithm

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Phase-field-based lattice Boltzmann method for containerless freezing

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Physical Review E 2024年第3期110卷 035301页

作者： Jiangxu Huang Lei Wang Zhenhua Chai Baochang Shi School of Mathematics and Statistics School of Mathematics and Physics Institute of Interdisciplinary Research for Mathematics and Applied Science Hubei Key Laboratory of Engineering Modeling and Scientific Computing

In this paper we first propose a phase-field model for the containerless freezing problems, in which the volume expansion or shrinkage of the liquid caused by the density change during the phase change process is considered by adding a mass source term to the continuum equation. Then a phase-field-based lattice Boltzmann (LB) method is further developed to simulate solid-liquid phase change phenomena in multiphase systems. We test the developed LB method by the problem of conduction-induced freezing in a semi-infinite space, the three-phase Stefan problem, and the droplet solidification on a cold surface, and the numerical results are in agreement with the analytical and experimental solutions. In addition, the LB method is also used to study the rising bubbles with solidification. The results of the present method not only accurately capture the effect of bubbles on the solidification process, but also are in agreement with the previous work. Finally, a parametric study is carried out to examine the influences of some physical parameters on the sessile droplet solidification, and it is found that the time of droplet solidification increases with the increase of droplet volume and contact angle.

关键词： Drops & bubbles Liquid-solid phase transition

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Helmet Detection for Motorcycle Ignition: A Computer Vision and Android-Based Approach 1

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8th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2023

作者： Hutabarat, Daniel Patricko Saleh, Robby Mae, Johannes Prasad, P.W.C. Computer Engineering Department Faculty of Engineering Bina Nusantara University West Jakarta Indonesia School of Computing Mathematics and Engineering Charles Sturt University Wagga WaggaNSW2678 Australia

ISBN: (数字)9783031717734

ISBN: (纸本)9783031717727

To enhance safety and combat the motorcycle accident fatality rate, this research introduces a motorbike user authorization system that integrates computer vision technology and an Android application. The system is designed to ensure motorcycle ownership verification while also confirming correct helmet usage by riders. Built on the Raspberry Pi Zero platform, it is capable of processing camera images and communicating with the Android application via Bluetooth. Data, including the speed and accuracy of helmet detection, are analyzed, and assessed using a neural network model and an extensive validation dataset. This discovery underscores the significance of helmet usage in maintaining road safety, given the high incidence of fatal motorcycle accidents associated with rider non-compliance with helmet regulations. With an impressive 90% accuracy rate based on a dataset of 48,000 validation images, this research makes a substantial contribution to mitigating this issue and pioneers a novel approach to bolstering rider safety and compliance with regulations. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Motorcycles

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Secure Data Embedding using Fourier Transform-based Watermarking 15

Secure Data Embedding using Fourier Transform-based Watermar...

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15th International Conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Jaya Amruth, S. Sai Shruthik, V. Jayan, Sarada Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science Bengaluru India Amrita Vishwa Vidyapeetham Amrita School of Engineering Department of Mathematics Bengaluru India

ISBN: (纸本)9798350370249

The process of watermarking involves the incorporation of a distinct identifier into digital media. By embedding a watermark one can prevent unauthorized access and establish ownership. The main aim of this paper is to combine the watermarking algorithm with multimedia data. The fundamental approach of this method is the application of Fast Fourier Transform (FFT) for both embedding and extracting watermarks from images and videos. The combination of watermarking methods and FFT gives several benefits like copyright protection, content authentication, and identity verification. The main reason for the use of Fast Fourier Transform (FFT) in this paper is the fact that it is resistant to common attacks and its media characteristics are compatible with it. The experimental results prove the effectiveness of this approach and show its unprecedented feature in watermark embedding and extraction. The ultimate goal is to strengthen the security and authenticity of digital material. When compared to other methods like the Fourier-Mellin, DFT, DWT-DCT-SVD, and QDFT, this FFT approach produced better results and outperformed existing methods. © 2024 IEEE.

关键词： Fast Fourier transforms

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