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A 3D Memristive Cubic Map with Dual Discrete Memristors: Design, Implementation, and Application in Image Encryption

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IEEE Transactions on Circuits and Systems for Video Technology 2025年

作者： Gao, Suo Iu, Herbert Ho-Ching Erkan, Ugur Simsek, Cemaleddin Toktas, Abdurrahim Cao, Yinghong Wu, Rui Mou, Jun Li, Qi Wang, Chunpeng Dalian Polytechnic University School of Information Science and Engineering Dalian116034 China The University of Western Australia School of Electrical Electronic and Computer Engineering Perth6009 Australia Faculty of Engineering Electrical and Electronics Engineering Respectively Karamanoglu Mehmetbey University Karaman70200 Turkey Ankara University Engineering Faculty Department of Artificial Intelligence and Data Engineering Ankara06830 Turkey Harbin Institute of Technology School of Computer Science and Technology Harbin150001 China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan250000 China

Discrete chaotic systems based on memristors exhibit excellent dynamical properties and are more straightforward to implement in hardware, making them highly suitable for generating cryptographic keystreams. However, most existing memristor-based chaotic systems rely on a single memristor. This paper introduces a novel discrete chaotic system employing dual memristors, named the 3D memristive cubic map with dual discrete memristors (3D-MCM). The 3D-MCM system demonstrates richer and more intricate dynamical behaviors compared to its single-memristor counterparts, as verified through bifurcation diagrams, Lyapunov exponent spectra, and complexity analyses. Notably, the system exhibits coexisting attractors, substantially enhancing its dynamical complexity. Hardware implementation of the 3D-MCM attractors confirms its feasibility for industrial applications. To illustrate the system's potential in encryption tasks, this study integrates the quaternary-based permutation and dynamic emanating diffusion (QPDED-IE) scheme for image encryption with the *** results demonstrate that the QPDED-IE scheme based on the 3D-MCM exhibits strong diffusion and confusion properties, effectively resisting cryptanalytic attacks. © 1991-2012 IEEE.

关键词： Bifurcation (mathematics)

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A Taxonomy of Defenses against Memory Corruption Attacks 44

A Taxonomy of Defenses against Memory Corruption Attacks

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44th International Convention on Information, Communication and Electronic Technology, MIPRO 2021

作者： Novkovic, Bojan University of Zagreb Faculty of Electrical Engineering and Computing Department of Electronics Microelectronics Computer and Intelligent Systems Zagreb Croatia

ISBN: (纸本)9789532331011

Vulnerabilities caused by memory corruption related bugs are a pervasive threat, continually undermining the security of the whole computing environment. The lack of memory safety mechanisms in indispensable systems programming languages like C or C++ leaves plenty of room for programmer-induced errors which often result in catastrophic security breaches. We analyze the root causes of these vulnerabilities, providing a concise overview of memory corruption bugs and related attacks. Although present in a number of programming languages, we use the C/C++ programming language as a basis for our analyses. We categorize existing defensive mechanisms based on the attack techniques they focused on preventing and give a brief insight into state-of-the-art defenses introduced throughout the years, with a special focus on operating system defenses. © 2021 Croatian Society MIPRO.

关键词： C++ (programming language)

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System-level Simulation of Transient Loads in HV/LV DC-DC Electric Vehicle Converter

System-level Simulation of Transient Loads in HV/LV DC-DC El...

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International Conference on Smart Systems and Technologies (SST)

作者： Kristian Knol Alexander Ulbing Denis Pelin Department of Electromechanical Engineering Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia Stress Test Methology KAI Kompetenzzentrum Fuer Industrie- und Automobilelektronik Villach Austria

ISBN: (数字)9798350386394

ISBN: (纸本)9798350386400

LLC topology is proposed for powering low-voltage DC loads from a high-voltage battery. The simulation model of the HV/LV DC-DC converter is obtained in MATLAB/Simulink and parametric analysis of the output voltage during switch ON/OFF loads were carried out. The importance of connecting a low voltage battery on the load side in terms of drop/jump of the output voltage depending on the switching is observed by comparing the voltage indicator according to the standards for system testing. Different load power steps, power change trend (loading and unloading), as well as charging state of the battery were used as parameters of analysis. The responses of the output voltage in transient state were analyzed in terms of identifying the duration of the transient state as well as the maximum change in the instant values of the output voltage. The importance of the gain factor in the feedback loop of the control circuit at the duration of the transient state is indicated. The measurement of the AC component of the output voltage was carried out on the Infineon EVAL-2ED2101-HB-LLC 200W board in order to evaluate the simulation results.

关键词： Low voltage Feedback loop Shape Simulation Loading Switches Batteries State of charge Transient analysis Voltage control

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Multi-objective Binary Coordinate Search for Feature Selection

arXiv

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arXiv 2024年

作者： Miyandoab, Sevil Zanjani Rahnamayan, Shahryar Bidgoli, Azam Asilian Lab Department of Electrical Computer and Software Engineering Ontario Tech University OshawaON Canada Department of Engineering Brock University St. CatharinesON Canada Faculty of Science Wilfrid Laurier University WaterlooON Canada

A supervised feature selection method selects an appropriate but concise set of features to differentiate classes, which is highly expensive for large-scale datasets. Therefore, feature selection should aim at both minimizing the number of selected features and maximizing the accuracy of classification, or any other task. However, this crucial task is computationally highly demanding on many real-world datasets and requires a very efficient algorithm to reach a set of optimal features with a limited number of fitness evaluations. For this purpose, we have proposed the binary multi-objective coordinate search (MOCS) algorithm to solve large-scale feature selection problems. To the best of our knowledge, the proposed algorithm in this paper is the first multi-objective coordinate search algorithm. In this method, we generate new individuals by flipping a variable of the candidate solutions on the Pareto front. This enables us to investigate the effectiveness of each feature in the corresponding subset. In fact, this strategy can play the role of crossover and mutation operators to generate distinct subsets of features. The reported results indicate the significant superiority of our method over NSGA-II, on five real-world large-scale datasets, particularly when the computing budget is limited. Moreover, this simple hyper-parameter-free algorithm can solve feature selection much faster and more efficiently than NSGA-II. Copyright © 2024, The Authors. All rights reserved.

关键词： Feature Selection

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Feature Selection for Hand Gesture Recognition in Human-Robot Interaction

Feature Selection for Hand Gesture Recognition in Human-Robo...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Matthew McCarver Jing Qin Biyun Xie Department of Mathematics University of Kentucky Lexington KY USA Faculty of Mathematics University of Kentucky Lexington KY USA Faculty of Department of Electrical and Computer Engineering University of Kentucky Lexington KY USA

ISBN: (数字)9798350375022

ISBN: (纸本)9798350375039

Hand gesture recognition has been playing an important role in robotic applications, which allows robots to communicate with humans in an effective way. However, it typically desires to process high-dimensional data, such as images or sensor measurements. To address the computational challenges due to the data growth, it is desirable to select most relevant features during recognition by reducing the redundancy of the data. In this paper, we propose a novel feature selection approach based on the separable nonnegative matrix factorization (NMF) framework for hand gesture recognition. In particular, we adopt a nonconvex regularization term, i.e., the ratio of matrix nuclear norm and Frobenius norm. The proposed method reduces the data dimension by utilizing the data low-rankness in an adaptive way. To address the nonconvexity of the proposed model, we reformulate it by introducing an auxiliary variable and then apply the alternating direction method of multipliers (ADMM). Furthermore, a variety of numerical experiments on binary and grayscale hand gesture images demonstrate the efficiency of the proposed feature selection approach in improving the quality of factorization and its potential impact on robotic applications.

关键词： Adaptation models Redundancy Human-robot interaction Gesture recognition Gray-scale Robot sensing systems Feature extraction Convex functions Numerical models

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A Stochastic Markov Model for Reliability-Centered Maintenance Approach in electrical Distribution networks 26

A Stochastic Markov Model for Reliability-Centered Maintenan...

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26th International Conference and Exhibition on Electricity Distribution, CIRED 2021

作者： Ravaghi.Ardabili, HabibAllah Haghifam, Mahmoodreza Abedi, SeyedMostafa Great Tehran Electrical Distribution Co. Tehran Iran Faculty of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran Department of Electrical Engineering South-Tehran Branch Islamic Azad University Tehran Iran

ISBN: (纸本)9781839535918

Reliability-Cantered Maintenance (RCM) is a corporate level maintenance strategy that is implemented to optimize the maintenance program of facilities. In this regard, providing the most efficient maintenance policy can dramatically assist the electric utility companies through reducing the failure rate of electric distribution network (EDN) components. Condition Based Monitoring System (CBMS) is a process of monitoring the operation parameters of electrical system which can be divided into online and off-line monitoring. This paper proposes an optimal stochastic RCM approach in which online and off-line monitoring techniques utilized with presence of Distributed Generation (DG) and Demand Response (DR) to reduce costs and enhance reliability. The reliability level of the EDN components are evaluated according to the three state Markov model with considering the uncertainty of repair time for maintenance actions. Finally, the efficacy of the proposed stochastic RCM approach is evaluated through implementing the RCM approach on the bus number four of the well-known RBTS4 and Birka Nat distribution system in Sweden. © 2021 The Institution of engineering and Technology.

关键词： Preventive maintenance

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A review of green hydrogen production based on solar energy;techniques and methods

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Energy Harvesting and Systems 2024年第1期11卷

作者： Hassan, Qusay Tabar, Vahid Sohrabi Sameen, Aws Zuhair Salman, Hayder M. Jaszczur, Marek Department of Mechanical Engineering University of Diyala Diyala Iraq Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran College of Medical Techniques Al-Farahidi University Baghdad Iraq Faculty of Energy and Fuels AGH University of Science and Technology Krakow Poland Department of Computer Science Al-Turath University College Baghdad Iraq

The study examines the methods for producing hydrogen using solar energy as a catalyst. The two commonly recognised categories of processes are direct and indirect. Due to the indirect processes low efficiency, excessive heat dissipation, and dearth of readily available heat-resistant materials, they are ranked lower than the direct procedures despite the direct procedures superior thermal performance. Electrolysis, bio photosynthesis, and thermoelectric photo-degradation are a few examples of indirect approaches. It appears that indirect approaches have certain advantages. The heterogeneous photocatalytic process minimises the quantity of emissions released into the environment;thermochemical reactions stand out for having low energy requirements due to the high temperatures generated;and electrolysis is efficient while having very little pollution created. Electrolysis has the highest exergy and energy efficiency when compared to other methods of creating hydrogen, according to the evaluation. © 2024 the author(s), published by De Gruyter.

关键词： Hydrogen production

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PACTDet - An Artificially Intelligent Approach to Detect Pulmonary Illnesses: Pneumonia, Asthma, COVID-19, and Tuberculosis 1

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2nd International Conference on Information Technologies and Intelligent Decision Making Systems, ITIDMS 2022

作者： Tasmi, Sidratul Tanzila Raihan, Md. Mohsin Sarker Nasif, Atahar Imtiaz Shams, Abdullah Bin Department of Computer Science and Engineering Islamic University of Technology Dhaka1704 Bangladesh Chattogram Bangladesh Department of Computer Science Faculty of Science University of British Columbia 3333 University Way KelownaBCV1V 1V7 Canada The Edward S. Rogers Sr. Department of Electrical Computer Engineering University of Toronto TorontoONM5S 3G4 Canada

ISBN: (数字)9783031313530

ISBN: (纸本)9783031313523

Pulmonary Illness has become very common due to different emerging viruses, bacteria, pollution, and lifestyle. If these diseases are not diagnosed in a patient, they may have a severe impact and fatal conditions in a patient’s life. In this paper, we propose a methodology for the diagnosis of common pulmonary diseases: Pneumonia, Bronchial Asthma, COVID-19, and Tuberculosis based on symptoms. Our research paper functions as a technological doctor, which can detect the probability of a person having a certain category of pulmonary disease. The patient can then take necessary precautions and treatment for an early cure and minimize the severity of the disease. In this research, common classification-based machine learning algorithms: Random Forest, Decision Tree, Support Vector Machine, and Gradient Boosting algorithms were used after preprocessing the dataset from 2 sources. We have developed an Artificial Neural Network (ANN) model that can successfully detect the type of pulmonary disease with an accuracy of 99%. This application can help medical workers in their decision-making process regarding a patient, and the widespread, inexpensive application of this can help save people’s lives globally. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： COVID-19

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An Augmented Reality Technology in Indoor Navigation for Smart Museum Using Bluetooth Low Energy Communication

An Augmented Reality Technology in Indoor Navigation for Sma...

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International Conference on ICT For Smart Society (ICISS)

作者： Dewi Tresnawati Asri Mulyani Cepi Nugraha Leni Fitriani Nina Lestari Dani Nugraha Department of Computer Science Institut Teknologi Garut Garut Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Sangga Buana Bandung Indonesia Division of IT Digital Transformation Darma Henwa Tbk Jakarta Indonesia

ISBN: (数字)9798350389654

ISBN: (纸本)9798350389661

Large buildings like museum generally have multiple rooms, necessitating efficient directional information services to ensure visitors receive accurate location details. However, traditional information services often fail to convey the necessary information effectively. Indoor navigation addresses this issue by providing real-time navigation within rooms or spaces, identifying the position of objects or people. This study aims to enhance indoor navigation by implementing smart technology, enabling users to locate rooms within large buildings quickly. The application developed utilizes Augmented Reality (AR) technology, interfaced with Bluetooth Low Energy (BLE) signals emitted from an ESP32 Microcontroller, serving as location points. The methodology adopted in this study follows the Multimedia Development Life Cycle, encompassing six stages: Concept, Design, Material Collecting, Assembly, Testing, and Distribution. The results demonstrate the successful integration of AR technology in indoor navigation, using microcontrollers as location markers and BLE for seamless communication between the AR interface and microcontroller. This smart technology application significantly improves user experience by providing intuitive and accurate indoor navigation.

关键词： Accuracy Microcontrollers Indoor navigation Buildings Prototypes Information services Museums User experience Bluetooth Low Energy Augmented reality

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FAS for Secure and Covert Communications

arXiv

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arXiv 2024年

作者： Yao, Junteng Xin, Liangxiao Wu, Tuo Jin, Ming Wong, Kai-Kit Yuen, Chau Shin, Hyundong Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Department of Electronic and Electrical Engineering University College London Torrington Place WC1E 7JE United Kingdom Department of Electronic Engineering Kyung Hee University Gyeonggi-do Yongin-si17104 Korea Republic of

This letter considers a fluid antenna system (FAS)- aided secure and covert communication system, where the transmitter adjusts multiple fluid antennas' positions to achieve secure and covert transmission under the threat of an eavesdropper and the detection of a warden. This letter aims to maximize the secrecy rate while satisfying the covertness constraint. Unfortunately, the optimization problem is non-convex due to the coupled variables. To tackle this, we propose an alternating optimization (AO) algorithm to alternatively optimize the optimization variables in an iterative manner. In particular, we use a penalty-based method and the majorization-minimization (MM) algorithm to optimize the transmit beamforming and fluid antennas' positions, respectively. Simulation results show that FAS can significantly improve the performance of secrecy and covertness compared to the fixed-position antenna (FPA)-based schemes. © 2024, CC BY.

关键词： Convex optimization

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