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2nd International Conference on Cyber Resilience, ICCR 2024

作者： Al-Najjar, Hazem Al-Rousan, Nadia University Of Petra Faculty Of Information Technology Department Of Computer Science Amman Jordan German Jordanian University Faculty Of Electrical Engineering And Information Systems Department Of Computer Engineering Jordan

ISBN: (纸本)9798350394962

we introduced image encryption algorithms with high sensitivity, such that even a single alteration in a plain-text image would result in a complete transformation of the ciphered image. The first algorithm employed pixel values in a substitution approach, whereas the second algorithm utilized pixel values to generate chaotic function keys. Additionally, we employed a Rossler chaotic function with pixel data to generate chaotic values for the shuffling and substitution processes. After subjecting these algorithms to rigorous testing using standard metrics, our experiments revealed the efficiency of the algorithms in image encryption. Notably, even a minute change in the original image resulted in a vastly different ciphered image. These proposed algorithms underscored the effectiveness of integrating chaotic functions with pixel information, significantly enhancing image security. © 2024 IEEE.

关键词： Cryptography

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Second Order Sliding Mode Speed Observer for Field-Oriented Control of Induction Motor 5th

Second Order Sliding Mode Speed Observer for Field-Oriented ...

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5th International Conference on electrical engineering and Control Applications, ICEECA 2022

作者： Benderradji, Hadda Laamari, Yahia Benlaloui, Idriss Chrifi Alaoui, Larbi Abdessalem, Makouf Laboratory of Induction and Propulsion Systems Electrical Engineering Department University of Batna Batna Algeria 13 av F. Mitterrand Cuffies02880 France Electrical Engineering Department University of Msila M’sila Algeria

ISBN: (纸本)9789819700448

In the following paper, we present a second-order sliding mode speed observer of induction motor using super twisting algorithm, whose purpose is to show the validity of the observer at very low speed. A speed observation system, which comprises two sliding mode stator current observers and rotor flux observer, are used in the proposed method. The effects of parameter deviations on the rotor flux observer can be alleviated by the interaction of these two current sliding mode observers. The adaptive speed observer is derived from a Lyapunov function, which guarantees the system convergence and stability. The speed sliding mode observer is implemented on the field-oriented control of induction motor drive (FOC). Experimental results of the speed sensorless control of field-oriented induction motor verifies the validity of the proposed sliding mode algorithm at very low speed and show the robustness and performance of the proposed adaptive observer structure. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Lyapunov functions

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Conformal Off-Policy Prediction for Multi-Agent systems 63

Conformal Off-Policy Prediction for Multi-Agent Systems

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Kuipers, Tom Tumu, Renukanandan Yang, Shuo Kazemi, Milad Mangharam, Rahul Paoletti, Nicola King's College London Department of Informatics United Kingdom University of Pennsylvania Department of Electrical and Systems Engineering United States

ISBN: (纸本)9798350316339

Off-Policy Prediction (OPP), i.e., predicting the outcomes of a target policy using only data collected under a nominal (behavioural) policy, is a paramount problem in data-driven analysis of safety-critical systems where the deployment of a new policy may be unsafe. To achieve dependable off-policy predictions, recent work on Conformal Off-Policy Prediction (COPP) leverage the conformal prediction framework to derive prediction regions with probabilistic guarantees under the target process. Existing COPP methods can account for the distribution shifts induced by policy switching, but are limited to single-agent systems and scalar outcomes (e.g., rewards). In this work, we introduce MA-COPP, the first conformal prediction method to solve OPP problems involving multi-agent systems, deriving joint prediction regions for all agents' trajectories when one or more 'ego' agents change their policies. Unlike the single-agent scenario, this setting introduces higher complexity as the distribution shifts affect predictions for all agents, not just the ego agents, and the prediction task involves full multi-dimensional trajectories, not just reward values. A key contribution of MA-COPP is to avoid enumeration or exhaustive search of the output space of agent trajectories, which is instead required by existing COPP methods to construct the prediction region. We achieve this by showing that an overapproximation of the true joint prediction region (JPR) can be constructed, without enumeration, from the maximum density ratio of the JPR trajectories. We evaluate the effectiveness of MA-COPP in multi-agent systems from the PettingZoo library and the F1TENTH autonomous racing environment, achieving nominal coverage in higher dimensions and various shift settings. © 2024 IEEE.

关键词： Multi agent systems

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Loss Characteristics of PMSM Drive System for Inverter Switching

Loss Characteristics of PMSM Drive System for Inverter Switc...

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2024 IEEE International Conference on electrical systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2024

作者： Kokago, Takumi Kondo, Keiichiro Aiso, Kohei Aoki, Yasuaki Imai, Koji Oishi, Ryohei Waseda University Department of Electrical Engineering and Bioscience Tokyo Japan Shibaura Institute of Technology Department of Electrical Engineering Tokyo Japan Denso Corporation Electric Powertrain Systems Advanced Development Div. Kariya Japan

ISBN: (纸本)9798350373905

The demand for energy conservation has led to a need for higher efficiency in the permanent magnet synchronous motor (PMSM) drive system, including the inverter. To date, studies have focused on the trade-off between inverter switching losses and motor copper and iron losses. Focusing on the recent development of power semiconductor devices, higher breakdown voltages, and lower losses have been realized. Therefore, in this trade-off relationship in the future, increasing the switching frequency and reducing motor losses are expected to lead to higher efficiency of the PMSM drive system. In this study, PMSM drive system losses were measured and analyzed in a system of a 1 kW PMSM and insulated gate bipolar transistor (IGBT) inverter when driven in the asynchronous pulse width modulation (PWM) carrier frequency of 10 kHz and the synchronous PWM 3-pulse mode. The results reveal that effectively reducing motor losses by increasing the switching frequency is more effective for the efficiency of the PMSM drive system than reducing inverter losses by decreasing the switching frequency. © 2024 IEEE.

关键词： Insulated gate bipolar transistors (IGBT)

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Evolutionary-based Coordination of Multi-Robot systems with Dynamic Constraints

Evolutionary-based Coordination of Multi-Robot Systems with ...

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2024 systems and Information engineering Design Symposium, SIEDS 2024

作者： Shah, Vihar Heeter, Matthew Vallarino, Jose Sherman, Patrick Bramblett, Lauren Bezzo, Nicola University of Virginia Department of Systems and Information Engineering CharlottesvilleVA22903 United States University of Virginia Department of Electrical and Computer Engineering CharlottesvilleVA22903 United States

ISBN: (纸本)9798350385144

Large-scale manufacturing facilities and power plants comprise numerous subsystems that require consistent monitoring and inspection to ensure reliable and secure operations. The use of multiple robotic systems is an expanding, robust, and cost-effective solution for such operations. To enable automated infrastructure monitoring, there are many challenges, such as path planning and task allocation for multiple robots and dynamic constraints. We formulate such challenges as a multiple Traveling Salesman Problem (mTSP) and propose an efficient task assignment solution that uses an evolutionary algorithm considering priority, energy, and time constraints. Our solution incorporates: A digital twin of a monitored environment, A? and artificial potential field methods for path planning and navigation, and human-in-The-loop prioritization. We validate the proposed method with state-of-The-Art simulations in Gazebo/ROS for unmanned ground vehicles (UGVs) in cluttered environments. © 2024 IEEE.

关键词： Motion planning

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Deep Q-Learning-Based Resource Management in IRS-Assisted VLC systems

IEEE Transactions on Machine Learning in Communications and ...

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IEEE Transactions on Machine Learning in Communications and Networking 2024年 2卷 34-48页

作者： Hammadi, Ahmed Al Bariah, Lina Muhaidat, Sami Al-Qutayri, Mahmoud Sofotasios, Paschalis C. Debbah, Merouane Technology Innovation Institute Abu Dhabi United Arab Emirates Khalifa University Center for Cyber-Physical Systems Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates Carleton University Department of Systems and Computer Engineering OttawaK1S 5B6 Canada Khalifa University Department of Electrical Engineering and Computer Science Abu Dhabi United Arab Emirates Tampere University Department of Electrical Engineering Tampere33014 Finland Khalifa University KU 6G Center Abu Dhabi United Arab Emirates

Visible Light Communication (VLC) is a promising enabling technology for the next-generation wireless networks, as it complements radio-frequency (RF)-based communications by providing wider bandwidth, higher data rates, and immunity to interference from electromagnetic sources. However, due to its unique characteristics, VLC is highly sensitive to the line-of-sight (LoS) blockage. Recently, intelligent reflecting surface (IRS) has been proposed as an innovative solution that dynamically reconfigures the wireless environment. The present contribution proposes a two-stage resource management framework in an indoor VLC system: In the first stage, a maximum possible fairness (MPF) algorithm is presented in order to maximize the fairness amongst the users. In the second stage, deep Q-learning is exploited in order to maximize the overall spectral efficiency (SE). The corresponding numerical results have shown that the proposed DQL-MPF framework exhibits superior performance in terms of both the overall SE and Jain's Fair Index, achieved at a fast convergence rate. More specifically, when the noise power is high and the number of users is relatively large, the DQL-MPF algorithm achieves a more than tenfold overall SE compared to the Baseline scheme. Moreover, the synergy between the MPF and the DQL algorithms is investigated. To this end, we demonstrate that the MPF algorithm maximizes the fairness amongst the users while the DQL algorithm maximizes the overall SE and improves the robustness against the noise. Our results also highlight the effectiveness of the proposed algorithm in leveraging the increasing number of IRS elements for optimized performance. © 2023 The Authors.

关键词： Spectrum efficiency

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Low Inertia in Ac Microgrid: Analysis and Enhancement 6

Low Inertia in Ac Microgrid: Analysis and Enhancement

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6th International Youth Conference on Radio Electronics, electrical and Power engineering, REEPE 2024

作者： Emad, Mazen Alhasheem, Mohamed Beshr, Eman Medical Services Sector Ministry of Interior Electrical Power Systems Department Cairo Egypt Aastmt Faculty of Engineering and Technology Electrical and Control Department Cairo Egypt

ISBN: (纸本)9798350382891

This research looks into electrical grids that will soon likely become more intelligent. In light of this, there is a growing need for intelligent, adaptable microgrids that can function both independently and in conjunction with the grid. Black start operation, frequency and voltage stability, active and reactive power flow regulation, active power filtering capabilities, and storage energy management are the features that these small grids are expected to have. Energy can be produced and stored in this way near its points of consumption, improving reliability and lowering losses from big power lines. The key ideas about intelligent microgrid configuration, control, and energy management are reviewed in this study. Attributes-wise, the microgrid can function by utilizing the following three primary hierarchical control levels, just like the main grid.: Primary control on the converter level, Secondary control to adjust the frequency and voltage of the AC grid, and Third-level control over additional global duties determine whether energy is imported or exported for the microgrid. when connected to the main utilities. Advancing one of the above-mentioned control levels or redesigning the microgrid can enhance the stand-alone ac microgrid inertia. © 2024 IEEE.

关键词： Smart power grids

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Improving the Efficiency of Smart Grid Scheduling: A Linear Regression Model with Meta Job Information 2

Improving the Efficiency of Smart Grid Scheduling: A Linear ...

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2nd International Conference on Cyber Resilience, ICCR 2024

作者： Al-Najjar, Hazem Al-Rousan, Nadia College Of Information Technology University Of Petra Department Of Computer Science Amman Jordan German Jordianian University Faculty Of Electrical Engineering And Information Systems Department Of Computer Engineering Jordan

ISBN: (纸本)9798350394962

In order to forecast the run time of the jobs that were submitted, this research provides two linear regression prediction models that include continuous and categorical factors. A continuous predictor is built using the number of CPUs, average CPU speed, and memory size, whereas a categorical predictor is built using the user ID, group ID, and executable ID. According to the findings, the prediction rates for categorical and continuous predictors are 61% and 1%, respectively. sixty times better than the earlier models, which used continuous variables as a foundational model to determine task complexity and weight. The effectiveness of the categorical predictor in enhancing a job scheduling problem is then evaluated by combining it with three suggested job scheduling strategies. The suggested algorithms incorporated metrics - predicted run time, waiting time, and resource requirement - to select the smallest jobs. According to the results, Algorithm 3 performs better than earlier models in both performance metrics. The variation in total execution time and average waiting time is 1.14 to 1.76 and 4.5, respectively compared to previous models, Additionally, Algorithms 1 and 2 demonstrating superior performance in every scenario. © 2024 IEEE.

关键词： Grid computing

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Efficient Brillouin frequency shift extraction method employing Brillouin gain spectrum fitting in the distributed BOTDA fiber sensor 10

Efficient Brillouin frequency shift extraction method employ...

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10th IEEE International Conference on Photonics, ICP 2024

作者： Hamzah, Abdulwahhab Essa Hamzah, Mustafa Essa Ghadzali, Intan Fatimah Sasila Fadhel, Mahmoud Muhanad Sapiee, Nurfarhana Mohamad Zan, Mohd Saiful Dzulkefly Tanaka, Yosuke Mohamad, Hisham Ali, Sawal Hamid Md Bakar, Ahmad Ashrif A. Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Selangor Bangi43600 Malaysia Division of Advanced Electrical and Electronic Engineering Institute of Engineering Tokyo University of Agriculture and Technology Japan Civil & Environmental Engineering Department Universiti Teknologi PETRONAS Seri Iskandar Perak32610 Malaysia

ISBN: (纸本)9798350383164

—This paper demonstrates the deployment of quadratic curve fitting (QCF) based on half-peak Brillouin gain spectrum (BGS) for fast and accurate Brillouin frequency shift (BFS) extraction. The method was analysed and compared with three other methods such as Lorentzian curve fitting (LCF), Gaussian curve fitting (GCF) and pseudo-Voigt curve fitting (pVCF). The QCF based on half-peak achieved an accuracy similar to other curve fitting methods. In addition, the QCF has a faster processing time by eight-fold than the others, allowing the system to handle a large amount of data with good performance. The results would provide some general ideas for deploying the QCF algorithm for the system on chip platform with direct detection for fast BFS measurement. ©2024 IEEE.

关键词： System-on-chip

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A deep decentralized privacy-preservation framework for online social networks

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Blockchain(Research and Applications) 2024年第4期5卷 163-174页

作者： Samuel Akwasi Frimpong Mu Han Emmanuel Kwame Effah Joseph Kwame Adjei Isaac Hanson Percy Brown School of Computer Science and Communication Engineering Jiangsu UniversityZhenjiang212013China Department of Computer Engineering Ghana Communication Technology UniversityAccraPMB 100Ghana Department of Electrical&Electronic Engineering Ghana Communication Technology UniversityAccraPMB 100Ghana Department of Computer Science and Information Systems Ashesi UniversityAccra3042Ghana Department of Telecommunication Engineering Ghana Communication Technology UniversityAccraPMB 100Ghana

This paper addresses the critical challenge of privacy in Online Social Networks(OSNs),where centralized designs compromise user *** propose a novel privacy-preservation framework that integrates blockchain technology with deep learning to overcome these *** methodology employs a two-tier architecture:the first tier uses an elitism-enhanced Particle Swarm Optimization and Gravitational Search Algorithm(ePSOGSA)for optimizing feature selection,while the second tier employs an enhanced Non-symmetric Deep Autoencoder(e-NDAE)for anomaly ***,a blockchain network secures users’data via smart contracts,ensuring robust data *** tested on the NSL-KDD dataset,our framework achieves 98.79%accuracy,a 10%false alarm rate,and a 98.99%detection rate,surpassing existing *** integration of blockchain and deep learning not only enhances privacy protection in OSNs but also offers a scalable model for other applications requiring robust security measures.

关键词： Preprocessing Privacy-preservation Blockchain Deep learning Online social network

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