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Dipper Throated Optimization for Detecting Black-Hole Attacks inMANETs

computers, Materials & Continua 2023年第1期74卷 1905-1921页

作者： Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Doaa Sami Khafaga Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

In terms of security and privacy,mobile ad-hoc network(MANET)continues to be in demand for additional debate and *** more MANET applications become data-oriented,implementing a secure and reliable data transfer protocol becomes a major concern in the ***,MANET’s lack of infrastructure,unpredictable topology,and restricted resources,as well as the lack of a previously permitted trust relationship among connected nodes,contribute to the attack detection burden.A novel detection approach is presented in this paper to classify passive and active black-hole *** proposed approach is based on the dipper throated optimization(DTO)algorithm,which presents a plausible path out of multiple paths for statistics transmission to boost MANETs’quality of service.A group of selected packet features will then be weighed by the DTO-based multi-layer perceptron(DTO-MLP),and these features are collected from nodes using the Low Energy Adaptive Clustering Hierarchical(LEACH)clustering *** is a powerful classifier and the DTO weight optimization method has a significant impact on improving the classification process by strengthening the weights of key features while suppressing the weights ofminor *** hybridmethod is primarily designed to combat active black-hole *** the LEACH clustering phase,however,can also detect passive black-hole *** effect of mobility variation on detection error and routing overhead is explored and evaluated using the suggested *** diverse mobility situations,the results demonstrate up to 97%detection accuracy and faster execution ***,the suggested approach uses an adjustable threshold value to make a correct conclusion regarding whether a node is malicious or benign.

关键词： Black-hole attack mobile ad-hoc network optimization dipper throated optimization

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Incremental Stability Analysis of Lurie systems

Incremental Stability Analysis of Lurie Systems

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European control Conference (ECC)

作者： Lanlan Su Ross Drummond Sei Zhen Khong Department of Automatic Control and Systems Engineering University of Sheffield Sheffield UK Department of Electrical Engineering National Sun Yat-sen University Kaohsiung Taiwan

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

The incremental stability analysis of Lurie systems consisting of the feedback interconnection between a linear time-invariant (LTI) system and a slope-bounded nonlinearity is considered. We first show that the incremental input-output mappings generated by the set of slope-bounded nonlinearities satisfy a set of biased integral quadratic constraints (IQCs) defined by Popov multipliers. Then, a frequency-domain inequality (FDI) condition on the LTI system is proposed for establishing incremental closed-loop stability via an incremental form of IQC theory. Application of the KYP lemma yields an equivalent linear matrix inequality (LMI) condition.

关键词： Linear systems Frequency-domain analysis Europe Aerospace electronics Stability analysis Linear matrix inequalities

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Development and Research of the Rogowsky Coil Design with Low Sensitivity to Conductor Displacement

Development and Research of the Rogowsky Coil Design with Lo...

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2022 International Ural Conference on Electrical Power engineering, UralCon 2022

作者： Yablokov, Andrey Kabakov, Pavel Ivanovo State Power Engineering University Named after V.I. Lenin Department of Electric Power Systems Automatic Control Ivanovo Russia

ISBN: (数字)9781665466523

ISBN: (纸本)9781665466523

The Russian energy sector underwent significant changes at the end of the 20th and the beginning of the 21st century [1]. The rapid development of engineering and technology in Russia inevitably led to a constant increase in the power system capacity, which in turn led to an increase in the levels of short circuit (SC) currents. Under such conditions, the problems of ensuring static and dynamic stability, the development of automatic emergency control (AEC) systems and the creation of new types of relay protection and automation systems (RPA) have become priority issues for the development of the electric power industry [2]. In particular, recently one of the most important issues is the creation of more advanced current sensors based on non-traditional primary converters [3-7]. A huge breakthrough in solving the tasks was made thanks to the development of computer technology. Electromagnetic and static relays were replaced by microprocessor technologies, the main advantage of which is a high-resistance input, which allows to use previously inaccessible low-power devices. One of these devices is the Rogowski coil, which is one of the types of nontraditional primary current converters. The disadvantage of the split Rogowski coil is the dependence of the metrological characteristics of the transducer on the position of the conductor. This article is devoted to the development of methods for reducing this dependence. © 2022 IEEE.

关键词： Automation

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Disturbance Observer-Based Optimal Tracking control for Slot Coating Process with Mismatched Input Disturbances

Disturbance Observer-Based Optimal Tracking Control for Slot...

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UKACC International Conference on control (control)

作者： Zezhi Tang Christopher Passmore J Anthony Rossiter Stephen Ebbens Gary Dunderdale George Panoutsos Department of Automatic Control and Systems Engineering University of Sheffield Department of Chemical and Biological Engineering University of Sheffield Sustainable Aviation Fuels Innovation Centre Sheffield

ISBN: (数字)9798350374261

ISBN: (纸本)9798350374278

Slot coating is a widely used technique in various manufacturing processes. The efficiency of the process mostly depends on the precise control of diverse inputs such as pump rate and gap. However, this method can be sensitive to minor disturbances in process conditions, which can disrupt the uniformity of the film thickness. To overcome the challenge, through the implementation of the generalized disturbance observer and compensator, the impact of disturbances can be attenuated in the output channel. In addition, by combining with an output tracking controller, the proposed composite architecture effectively compensates the disturbances while guaranteeing the tracking of the specified film thickness across a wide range of situations. The simulation results were illustrated to showcase the effectiveness of the disturbance observer-based optimal tracking control (DOBOTC) system.

关键词： Manufacturing processes Simulation Perturbation methods Process control Disturbance observers Coatings Closed loop systems

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Leveraging GPT-4 Capabilities for Developing Context-Aware, Personalized Chatbot Interfaces in E-commerce Customer Support systems 10

Leveraging GPT-4 Capabilities for Developing Context-Aware, ...

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10th International Conference on Communication and Signal Processing, ICCSP 2024

作者： Santosh, Kathari Kholmukhamedov, Timur Kumar, M. Sandeep Aarif, Mohd Muda, Iskandar Bala, B Kiran Cmr Institute of Technology Bengaluru Department of Mba Bengaluru India Turin Polytechnic University In Tashkent Automatic Control and Computer Engineering Department Tashkent Uzbekistan Publishing Global Research Network Noida India Universitas Sumatera Utara Medan Indonesia K.Ramakrishnan College of Engineering Department of Artificial Intelligence and Data Science Trichy India

ISBN: (纸本)9798350353068

In the realm of e-commerce customer support, the adoption of chatbots is on the rise, driven by a quest for heightened user interactions. This study introduces an inventive approach harnessing the advanced capabilities of GPT-4 to construct chatbot interfaces that are both context-aware and personalized. The main aim of this work is to revolutionize ecommerce customer support by developing intelligent and adaptable chatbot interfaces that are context-aware, personalized, and significantly enhance user experiences. Existing chatbot models struggle with context retention and personalization, limiting effectiveness in dynamic e-commerce environments despite the promise of automation. This innovative approach leverages GPT-4's robust language processing, integrating it with user profiling systems for personalized responses grounded in user preferences and historical interactions. The method gives, diverse e-commerce dataset undergoes collection and pre-processing, followed by fine-tuning GPT-4 with an emphasis on context-awareness and personalized responses. The model is seamlessly integrated with e-commerce backend systems for real-time information, multimodal input support caters to varied user preferences. Results exhibit a significant 95% accuracy improvement, affirming the chatbot's enhanced ability to comprehend user queries. By integrating personalization and advanced context retention, this study enhances user engagement, paving way for revolutionary intelligent and adaptable chatbot interfaces in ecommerce customer support. © 2024 IEEE.

关键词： Electronic commerce

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Learn to Bid as a Price-Maker Wind Power Producer

arXiv

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arXiv 2025年

作者： Singhal, Shobhit Fochesato, Marta Aolaritei, Liviu Dörfler, Florian Automatic Control Laboratory ETH Zürich Switzerland Department of Electrical Engineering and Computer Sciences UC Berkeley United States

Wind power producers (WPPs) participating in short-term power markets face significant imbalance costs due to their non-dispatchable and variable production. While some WPPs have a large enough market share to influence prices with their bidding decisions, existing optimal bidding methods rarely account for this aspect. Price-maker approaches typically model bidding as a bilevel optimization problem, but these methods require complex market models, estimating other participants’ actions, and are computationally demanding. To address these challenges, we propose an online learning algorithm that leverages contextual information to optimize WPP bids in the price-maker setting. We formulate the strategic bidding problem as a contextual multi-armed bandit, ensuring provable regret minimization. The algorithm’s performance is evaluated against various benchmark strategies using a numerical simulation of the German day-ahead and real-time markets. Copyright © 2025, The Authors. All rights reserved.

关键词： Wind power

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Development of a Method of automatic Single Phase to Earth Fault Current Compensation in Networks with Arc Suppression Coil in Neutral Point 5

Development of a Method of Automatic Single Phase to Earth F...

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5th International Youth Scientific and Technical Conference Relay Protection and Automation, RPA 2022

作者： Kutumov, Yu. D. Shadrikova, T.Yu. Shuin, V.A. Ivanovo State Power Engineering University Jsc so Ups Branch of Ido Center Automatic Control of Electrical Power Systems Department Ivanovo Russia

ISBN: (数字)9798350399912

ISBN: (纸本)9798350399912

At the present time approximately 20% of 6-10 kV cable networks operate with resonant-grounded via arc-suppression coil (ASC) neutral point [1]. Meanwhile, an increasing number of experts note that resonant grounding of neutral point via ASC cannot solve the issue of single phase to earth faults (SPEF) negative consequences and their most dangerous variation, which is called intermittent arc single phase to earth fault (IASPEF) [for example, 2]. The main reasons for the inadequate efficiency of this neutral grounding mode are higher harmonic components in steady-state SPEF current, as well as higher harmonic components which are due to intensive transient processes during SPEF, which cannot be compensates by the usage of ASC. For the compensation of these components it is necessary to apply the devices, which will be complement ASC;these devices, together with the ASC, can be called a system of full compensation of the SPEF current. © 2022 IEEE.

关键词： Electric grounding

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Sharing the control of Robot Swarms Among Multiple Human Operators: A User Study

Sharing the Control of Robot Swarms Among Multiple Human Ope...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Genki Miyauchi Yuri K. Lopes Roderich Groß Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom Department of Computer Science Santa Catarina State University Joinville Brazil

Simultaneously controlling multiple robot swarms is challenging for a single human operator. When involving multiple operators, however, they can each focus on controlling a specific robot swarm, which helps distribute the cognitive workload. They could also exchange some robots with each other in response to the requirements of the tasks they discover. This paper investigates the ability of multiple operators to dynamically share the control of robot swarms and the effects of different communication types on performance and human factors. A total of 52 participants completed an experiment in which they were randomly paired to form a team. In a $2\times 2$ mixed factorial study, participants were split into two groups by communication type (direct vs. indirect). Both groups experienced different robot-sharing conditions (robot-sharing vs. no-robot-sharing). Results show that although the ability to share robots did not necessarily increase task scores, it allowed the operators to switch between working independently and collaboratively, reduced the total energy consumed by the swarm, and was considered useful by the participants.

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Towards experimental insight into magnetic flux distribution within the air gap of permanent magnet synchronous drive

Towards experimental insight into magnetic flux distribution...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Hubert Milanowski Adam Krzysztof Piłat Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics AGH University of Krakow Krakow Poland

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

This report explores the experimental identification of magnetic flux density within the motor air gap, focusing on the development of a robot-based approach to automate the scanning procedure. Emphasis is placed on analyzing the distribution of magnetic flux within the motor’s spatial air gap, as well as the amplification of harmonics resulting from changes in air gap orientation. Drawing upon experimental findings, a model is proposed to illustrate the three-dimensional distribution of magnetic flux within the gap.

关键词： Solid modeling Magnetic flux density Automation Atmospheric modeling Air gaps Rotors Drives

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A Predictive control based Scheme for Maximum Power Extraction of PMSG based Wind Turbine systems

A Predictive Control based Scheme for Maximum Power Extracti...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Fahimeh Shiravani Jose Antonio Cortajarena Patxi Alkorta Mikel Gonzalez Perez Oscar Barambones Department of Automatic Control and Systems Engineering School of Engineering of Gipuzkoa – EIG/Eibar Basque Country University Spain Department of Electronic Technology School of Engineering of Gipuzko– EIG/Eibar Basque Country University Spain Department of Automatic Control and Systems Engineering School of Engineering of Gipuzkoa-EIG/Eibar Basque Country University Spain Department of Automatic Control and Systems Engineering School of Engineering of Vitoria Basque Country University Spain

In this proposal, a predictive control scheme is considered for PMSG based wind turbine system in order to maximize power extraction. The main goal is to maintain the turbine tip-speed ratio (and consequently the power coefficient) at its optimal point and regulate the PMSG rotor speed in reaction to the variation of wind speed. The control of generator speed is done by employing a generalized predictive controller. This regulator by taking advantage of the predictive feature can prepare the generator to react to the upcoming wind in advance and consequently increases the efficiency of the turbine. Also, it has been demonstrated that this controller enhances the transient response of the system compared to the conventional methods. The proposed controller has been validated through Matlab/Simulink and an experimental test bench.

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