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Pager Explosion:Cybersecurity Insights and Afterthoughts

IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2359-2362页

作者： Chuan Sheng Wanlun Ma Qing-Long Han Wei Zhou Xiaogang Zhu Sheng Wen Yang Xiang Fei-Yue Wang Swinburne University of Technology Hawthorn VIC 3122Australia IEEE the School of Computer and Mathematical Sciences the University of AdelaideAdelaideSouth Australia 5005Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

PAGER EXPLOSION:THE *** 2024 Lebanon pager explosions represent one of the most unexpected and devastating technological incidents in recent *** September 17 and 18,2024,thousands of pagers and walkie-talkies exploded simultaneously across Lebanon and parts of Syria,resulting in 42 deaths and more than 3500 *** handheld communication devices,previously regarded as secure and low-profile,were rigged with concealed explosives and remotely triggered by attackers.

关键词： injuries thoughts explosion

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Transaction transmission model for blockchain channels based on non-cooperative games

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Science China(Information Sciences) 2023年第1期66卷 97-114页

作者： Peiyun ZHANG Chenxi LI Mengchu ZHOU Wenjun HUANG Abdullah ABUSORRAH Omaimah O.BAMASAG Engineering Research Center of Digital Forensics of Ministry of Education School of Computer and SoftwareNanjing University of Information Science and Technology School of Computer and Information Anhui Normal University Department of Electrical and Computer Engineering New Jersey Institute of Technology Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer Engineering Faculty of Engineering and K.A.CARE Energy Research and Innovation CenterKing Abdulaziz University Department of Computer Science Faculty of Computing and Information Technology Center of Excellence in Smart Environment Research King Abdulaziz University

In blockchain networks, transactions can be transmitted through channels. The existing transmission methods depend on their routing information. If a node randomly chooses a channel to transmit a transaction, the transmission may be aborted due to insufficient funds(also called balance) or a low transmission rate. To increase the success rate and reduce transmission delay across all transactions, this work proposes a transaction transmission model for blockchain channels based on non-cooperative game *** balance, channel states, and transmission probability are fully considered. This work then presents an optimized channel transaction transmission algorithm. First, channel balances are analyzed and suitable channels are selected if their balance is sufficient. Second, a Nash equilibrium point is found by using an iterative sub-gradient method and its related channels are then used to transmit transactions. The proposed method is compared with two state-of-the-art approaches: Silent Whispers and Speedy Murmurs. Experimental results show that the proposed method improves transmission success rate, reduces transmission delay,and effectively decreases transmission overhead in comparison with its two competitive peers.

关键词： Blockchain channel transaction transmission channel balance channel state channel transmission probability non-cooperative game

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Application of Machine Learning Techniques for Predicting False Data Injection Attacks in Smart Grid 25

Application of Machine Learning Techniques for Predicting Fa...

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25th International Middle East Power System Conference, MEPCON 2024

作者： Sakr, Hesham A. Eladl, Abdelfattah A. Ibrahim, Hegazi M. El-Afifi, Magda I. Elsewedy University of Technology Faculty of Engineering Technology Cairo Egypt Nile Higher Institute for Eng. and Technology Dept. of Elect. and Comm.Eng Mansoura Egypt Mansoura University Faculty of Engineering Electrical Engineering Department El-Mansoura35516 Egypt Egyptian Chinese University Faculty of Computers and Information Systems Cairo Egypt

ISBN: (纸本)9798350379648

Attacks that involve False Data Injection (FDI) provide a substantial risk to the safety and dependability of contemporary power systems. The weaknesses that are present inside the system's infrastructure are exploited by these attacks, which frequently circumvent the conventional measures that detect bad data. Because of the sophistication of these attacks, which are characterized by their ability to circumvent conventional protections and their targeted nature, it is necessary to develop novel techniques to detection and mitigation. For the purpose of identifying, preventing, and predicting FDI threats, this research studies the application of machine learning approaches. In order to improve the security posture of power systems, the strategy that has been developed intends to make use of the potential that data-driven models possess. According to preliminary findings, the approach that was developed demonstrates a high level of accuracy in identifying anomalies within the data of the system, which suggests that it has the potential to be an effective countermeasure against FDI threats. In particular, Extra Trees and XGBClassifier are quite efficient when it comes to identifying attacks that include the injection of bogus data into power systems. © 2024 IEEE.

关键词： Adversarial machine learning

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Improving the Workplace for Manufacturing of Selected Elements 4th

Improving the Workplace for Manufacturing of Selected Elemen...

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4th International Conference on Intelligent systems in Production engineering and Maintenance, ISPEM 2023

作者： Olender-Skóra, Malgorzata Faculty of Mechanical Engineering Department of Engineering Processes Automation and Integrated Manufacturing Systems Silesian University of Technology Konarskiego 18A Gliwice44-100 Poland

ISBN: (纸本)9783031442810

The article describes issues concerning the organization of production and the ergonomics of workplaces. It then describes the organization of the indicated workstation, proposes its improvement, indicates the differences between manual and robotic workplace, their advantages and disadvantages and the problems associated with the improvement of the workstation. The problem that is described in the article concerns the cutting of the material, in this case - PVC poly(vinyl chloride), which up to now has been done by hand. The problems experienced with manual cutting were related to the long cutting time, the monotonous nature of the work, as well as the quality of the cut and the repeatability of the dimensions, as several pieces are to be assembled at the same time, one on top of the other. The problems identified are also very relevant because of the industry of application of these elements. The cut parts are to be used in the chemical industry. As an improvement, an innovative solution was proposed in which this cutting of the components was carried out by means of a laser, mounted on a robotic arm. The laser cuts made on the workstation were carried out on equipment available to the Department of engineering Processes Automation and Integrated Manufacturing systems, on faculty of Mechanical engineering. The article also describes the construction of such a workstation and identifies the main problems associated with the robotization of such a workstation. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Polyvinyl chlorides

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Experimental analysis of a vibro-acoustic response of an airborne structure to boundary layer excitation 64

Experimental analysis of a vibro-acoustic response of an air...

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64th Israel Annual Conference on Aerospace Sciences, IACAS 2025

作者： Naschletashvili, Maayan Stalnov, Oksana Ben-Gida, Hadar Technion Israel Institute of Technology Haifa3200003 Israel Elbit Systems Ltd. Haifa3100401 Israel Faculty of Aerospace Engineering Israel

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Evolutionary Optimization Methods for High-Dimensional Expensive Problems:A Survey

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1092-1105页

作者： MengChu Zhou Meiji Cui Dian Xu Shuwei Zhu Ziyan Zhao Abdullah Abusorrah Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA School of Information and Electronic Engineering Zhejiang Gongshang UniversityHangzhou 310018China School of Intelligent Manufacturing Nanjing University of Science and TechnologyNanjing 210094China Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China School of Artificial Intelligence and Computer Jiangnan UniversityWuxi 214122China School of Information Science and Engineering Northeastern UniversityShenyang 110819China Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer EngineeringFaculty of EngineeringKing Abdulaziz UniversityJeddah 21589Saudi Arabia K.A.CARE Energy Research and Innovation Center King Abdulaziz UniversityJeddah 21589Saudi Arabia

Evolutionary computation is a rapidly evolving field and the related algorithms have been successfully used to solve various real-world optimization *** past decade has also witnessed their fast progress to solve a class of challenging optimization problems called high-dimensional expensive problems(HEPs).The evaluation of their objective fitness requires expensive resource due to their use of time-consuming physical experiments or computer ***,it is hard to traverse the huge search space within reasonable resource as problem dimension *** evolutionary algorithms(EAs)tend to fail to solve HEPs competently because they need to conduct many such expensive evaluations before achieving satisfactory *** reduce such evaluations,many novel surrogate-assisted algorithms emerge to cope with HEPs in recent *** there lacks a thorough review of the state of the art in this specific and important *** paper provides a comprehensive survey of these evolutionary algorithms for *** start with a brief introduction to the research status and the basic concepts of ***,we present surrogate-assisted evolutionary algorithms for HEPs from four main *** also give comparative results of some representative algorithms and application ***,we indicate open challenges and several promising directions to advance the progress in evolutionary optimization algorithms for HEPs.

关键词： computer optimization evolutionary

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Effect of colorless distributed combustion technique on temperature and emission of hydrogen-rich coke oven gases

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International Journal of Hydrogen Energy 2024年 143卷 978-988页

作者： Kumuk, Osman Iskenderun Technical University Iskenderun Vocational School of Higher Education Department of Electronical and Automation Hatay31200 Turkey Gazi University Faculty of Technology Department of Energy Systems Engineering Teknikokullar Ankara06560 Turkey

In this study, a three-dimensional mathematical model designed for integrated staged combustion chambers used in large-scale coke ovens was created. This model was meticulously solved using Computational Fluid Dynamics (CFD) software, such as Ansys Fluent, and its results were validated against existing literature, with a focus on the central temperature. The analysis considered factors like temperature fluctuations within the coke bed and the concentration of NOX in the exhaust gases. The study emphasizes the crucial role that staged combustion plays in enhancing temperature uniformity within the coke oven and lowering NOX emissions in the exhaust, which is especially advantageous for larger coke oven systems. The research suggests that this model and the gathered data will be instrumental in advancing the development of large coke ovens with higher energy efficiency and lower emissions. In the conducted study, the NOX pollutant emission value in a non-staged combustion coke oven was measured at 8.26 ppm, while the application of staged combustion reduced this value to 4.81 ppm. This indicates that the staged combustion technique results in nearly a 50% reduction in NOX emissions. When a colorless distributed combustion technique was applied in the staged burner under a 15% O2/CO2 condition, the NOX pollutant emission value was further reduced to 0.187 ppm. As a result, an ultra-low ( © 2024 Hydrogen Energy Publications LLC

关键词： Coke ovens

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Machine Learning-Based Calibration Approaches for Single-Beam and Multiple-Beam Distance Sensors

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IEEE Sensors Journal 2024年第1期24卷 975-983页

作者： Syu, Jia-Hao Lin, Jerry Chun-Wei Biernacki, Piotr Ziebinski, Adam National Taiwan University Department of Computer Science and Information Engineering Taipei10617 Taiwan Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Distributed Systems and Informatics Devices Gliwice44-100 Poland Silesian University of Technology Department of Distributed Systems and Informatic Devices Gliwice44-100 Poland

Sensors are the foundation to facilitate smart cities, smart grids, and smart transportation, and distance sensors are especially important for sensing the environment and gathering information. Researchers have developed various methods to calibrate distance sensors;however, they mainly focus on using external information for calibration, which is inefficient and computationally expensive. To alleviate the above problems, we propose machine learning (ML)-based calibration approaches for distance sensors. We develop two calibration mechanisms, where the naive mechanism directly predicts the true distance, while the residual mechanism predicts the residual for calibration. The conventional ML regression algorithms are then adopted to predict the true distance or calibration residual. Experimental results show that the designed residual calibration mechanism outperforms the naive mechanism by reducing the root mean square error (RMSE) by 92.2% and mean absolute error (MAE) by 93.3% in the fitting task. In prediction, the proposed 2-D-residual mechanism achieves an improvement of 78.6% and 65.7% compared to the state-of-the-art method. The experimental results show the effectiveness and generalization of the proposed ML-based calibration method, especially for the 2-D mechanism, which achieves the highest robustness in all fitting and prediction tasks. © 2001-2012 IEEE.

关键词： Calibration

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Optimizing drones delivery path for low-noise flight 64

Optimizing drones delivery path for low-noise flight

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64th Israel Annual Conference on Aerospace Sciences, IACAS 2025

作者： Deutscher, Barak Stalnov, Oksana Ben-Gida, Hadar Technion Israel Institute of Technology Haifa3200003 Israel Elbit Systems Ltd. Haifa3100401 Israel Faculty of Aerospace Engineering Israel

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Novel approach for PAPR reduction in FBMC-OQAM using enlipping 14

Novel approach for PAPR reduction in FBMC-OQAM using enlippi...

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14th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2023

作者： Tagelsir, Zahraa Al-Amaireh, Husam Department of Measurement and Information Systems Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Hungary

ISBN: (纸本)9798350325652

Filter Bank Multi-Carrier using Offset Quadrature Amplitude Modulation (FBMC-OQAM) is a promising scheme for future 6G wireless networks. Peak to Average Power Ratio (PAPR) is among the major drawbacks and challenges of multicarrier compared with single-carrier schemes. Tone Reservation (TR) is an attractive PAPR scheme because of its simplicity. however, applying TR in FBMC-OQAM is considered more challenging when compared with Orthogonal Frequency Division Multiplexing (OFDM). In this work, we present a novel approach for reducing PAPR in FBMC-OQAM using the innovative enlipping based TR technique. Enlipping reimagines PAPR reduction by uniformly setting all signal amplitudes to their maximum value while preserving phase information. Furthermore, we explore its application in the context of sliding window TR;we explored the performance of enlipping within this context and investigate its impact on PAPR reduction efficiency. According to the simulation results, with the use of enlipping, better PAPR performance and fast convergence can be achieved compared to traditional clipping-based methods. © 2023 IEEE.

关键词： Peak to average power ratio

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