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Quality Inference in Federated Learning with Secure Aggregation

IEEE Transactions on Big Data 2023年第5期9卷 1430-1437页

作者： Pejó, Balázs Biczók, Gergely Budapest University of Technology and Economics CrySyS Lab Department of Networked Systems and Services Faculty of Electrical Engineering and Informatics Budapest1111 Hungary ELKH-BME Information Systems Research Group Budapest1111 Hungary

Federated learning algorithms are developed both for efficiency reasons and to ensure the privacy and confidentiality of personal and business data, respectively. Despite no data being shared explicitly, recent studies showed that the mechanism could still leak sensitive information. Hence, secure aggregation is utilized in many real-world scenarios to prevent attribution to specific participants. In this paper, we focus on the quality (i.e., the ratio of correct labels) of individual training datasets and show that such quality information could be inferred and attributed to specific participants even when secure aggregation is applied. Specifically, through a series of image recognition experiments, we infer the relative quality ordering of participants. Moreover, we apply the inferred quality information to stabilize training performance, measure the individual contribution of participants, and detect misbehavior. © 2015 IEEE.

关键词： Big data

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Transmission Line Age Determination with Statistical Health Index and Failure Probability Curve Fitting Technique 10

Transmission Line Age Determination with Statistical Health ...

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10th International Conference on Condition Monitoring and Diagnosis, CMD 2024

作者： Suwanasri, Cattareeya Yongyee, Ittiphong Suwanasri, Thanapong King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand Rajamangala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Mechatronics Engineering Nonthaburi Thailand King Mongkut's University of Technology North Bangkok Electrical and Software Systems Engineering Bangkok Thailand

ISBN: (纸本)9788986510225

The deterioration of transmission lines has a profound effect on the reliability and safety of the power grid. Accurate estimation of their age is critical for effective maintenance and investment planning. This paper proposes a method that combines the percentage statistical health index (%SHI) with failure probability curve-fitting (FPCF) to estimate the ages of overhead transmission lines. %SHI assesses equipment condition through scoring and weighting, while FPCF correlates SHI with the probability of failure. Evaluation of 924 towers situated in various terrains across Thailand reveals discrepancies between estimated and actual ages, influenced by environmental factors. To enhance reliability, proactive maintenance strategies such as regular inspections and advanced monitoring are recommended. © 2024 The Korean Institute of Electrical Engineers (KIEE).

关键词： Power transmission lines

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Observer-Structured PID Controller: Flight Controller Design Examples 4

Observer-Structured PID Controller: Flight Controller Design...

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4th International Conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2024

作者： Sato, Masayuki Sebe, Noboru Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Japan

ISBN: (纸本)9798350391183

This note shows two design examples of PID con-Trollers, whose state variables estimate the selected state vari-Ables of the controlled plant systems, for LTI Parametrically Dependent (LTIPD) systems. The authors have already proposed observer-structured controllers, whose structure is not the same as but is very similar to the well-established Luenberger observer-based controllers, and have also proposed a conversion method from a priori designed unstructured LTI or Linear Parameter-Varying (LPV) controllers to observer-structured LTI/LPV con-Trollers with the plant state estimation ability implemented. How-ever, the successful conversion has been reported only for full-order controllers. In this note, we show two examples, in which a priori designed LTI PID controllers are successfully converted to observer-structured PID controllers, and the designed observer-structured PID controllers well estimate the selected plant state variables in numerical simulations. © 2024 IEEE.

关键词： Three term control systems

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Optimized speed control for electric vehicles on dynamic wireless charging lanes: An eco-driving approach

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Journal of Intelligent and Connected Vehicles 2024年第1期7卷 52-63页

作者： Lingshu Zhong Ho Sheau En Mingyang Pei Jingwen Xiong Tao Wang School of Systems Science and Engineering Sun Yat-sen UniversityGuangzhou 510399China Faculty of Business and Management UCSI UniversityKuala Lumpur 56000Malaysia Department of Civil Engineering and Transportation South China University of TechnologyGuangzhou 510641China School of Automotive and Transportation Engineering Hefei University of TechnologyHefei 230000China

As the adoption of Electric Vehicles(EVs)intensifies,two primary challenges emerge:limited range due to battery constraints and extended charging *** traditional charging stations,particularly those near highways,exacerbate these issues with necessary detours,inconsistent service levels,and unpredictable waiting *** emerging technology of dynamic wireless charging lanes(DWCLs)may alleviate range anxiety and eliminate long charging stops;however,the driving speed on DWCL significantly affects charging efficiency and effective charging ***,the existing research has addressed load balancing optimization on Dynamic Wireless Charging(DWC)systems to a limited *** address this critical issue,this study introduces an innovative eco-driving speed control strategy,providing a novel solution to the multi-objective optimization problem of speed control on *** utilize mathematical programming methods and incorporate the longitudinal dynamics of vehicles to provide an accurate physical model of *** objective functions are formulated to tackle the challenges at hand:reducing travel time,increasing charging efficiency,and achieving load balancing on DWCL,which corresponds to four control *** results of numerical tests indicate that a comprehensive control strategy,which considers all objectives,achieves a minor sacrifice in travel time reduction while significantly improving energy efficiency and load ***,by defining the energy demand and speed range through an upper operation limit,a relatively superior speed control strategy can be *** work contributes to the discourse on DWCL integration into modern transportation systems,enhancing the EV driving experience on major roads.

关键词： dynamic wireless charging(DWC) electric vehicle(EV) eco-driving speed control load balancing

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Improved Control in Single Phase Inverter Grid-Tied PV System Using Modified PQ Theory

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Intelligent Automation & Soft Computing 2023年第8期37卷 2441-2457页

作者： Nur Fairuz Mohamed Yusof Dahaman Ishak Muhammad Ammirrul Atiqi Mohd Zainuri Muhammad Najwan Hamidi Zuhair Muhammed Alaas Mohamed Mostafa Ramadan Ahmed Faculty of Electrical Engineering&Technology Universiti Malaysia Perlis02600ArauMalaysia School of Electrical&Electronic Engineering Universiti Sains Malaysia14300Nibong TebalMalaysia Department of Electrical Electronic and Systems EngineeringFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaSelangor43600Malaysia School of Engineering Jazan UniversityJazanSaudi Arabia Faculty of Technology and Education Helwan UniversityCairoEgypt

Grid-connected reactive-load compensation and harmonic control are becoming a central topic as photovoltaic(PV)grid-connected systems *** research aims to produce a high-performance inverter with a fast dynamic response for accurate reference tracking and a low total har-monic distortion(THD)even under nonlinear load applications by improving its control *** proposed system is expected to operate in both stand-alone mode and grid-connected *** stand-alone mode,the proposed controller supplies power to critical loads,alternatively during grid-connected mode provide excess energy to the utility.A modified variable step incremental conductance(VS-InCond)algorithm is designed to extract maximum power from *** the proposed inverter controller is achieved by using a modified PQ theory with double-band hysteresis current controller(PQ-DBHCC)to produce a reference current based on a decomposition of a single-phase load *** nonlinear rectifier loads often create significant distortion in the output voltage of single-phase inverters,due to excessive current harmonics in the ***,the proposed method generates a close-loop reference current for the switching scheme,hence,minimizing the inverter voltage distortion caused by the excessive grid current *** simulation findings suggest the proposed control technique can effectively yield more than 97%of power conversion efficiency while suppressing the grid current THD by less than 2%and maintaining the unity power factor at the grid *** efficacy of the proposed controller is simulated using MATLAB/Simulink.

关键词： Hysteresis current controller incremental conductance nonlinear load PQ theory single-phase inverter

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Text Augmentation-Based Model for Emotion Recognition Using Transformers

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Computers, Materials & Continua 2023年第9期76卷 3523-3547页

作者： Fida Mohammad Mukhtaj Khan Safdar Nawaz Khan Marwat Naveed Jan Neelam Gohar Muhammad Bilal Amal Al-Rasheed Department of Computer Science The University of HaripurHaripur22620Pakistan Department of Computer Systems Engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and Technology PeshawarPeshawar25120Pakistan Department of Electronics Engineering Technology University of TechnologyNowshera24100Pakistan Department of Computer Science Shaheed Benazir BhuttoWomen UniversityPeshawar25000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Emotion Recognition in Conversations(ERC)is fundamental in creating emotionally ***-BasedNetwork(GBN)models have gained popularity in detecting conversational contexts for ERC ***,their limited ability to collect and acquire contextual information hinders their *** propose a Text Augmentation-based computational model for recognizing emotions using transformers(TA-MERT)to address *** proposed model uses the Multimodal Emotion Lines Dataset(MELD),which ensures a balanced representation for recognizing human *** used text augmentation techniques to producemore training data,improving the proposed model’s *** encoders train the deep neural network(DNN)model,especially Bidirectional Encoder(BE)representations that capture both forward and backward contextual *** integration improves the accuracy and robustness of the proposed ***,we present a method for balancing the training dataset by creating enhanced samples from the original *** balancing the dataset across all emotion categories,we can lessen the adverse effects of data imbalance on the accuracy of the proposed *** results on the MELD dataset show that TA-MERT outperforms earlier methods,achieving a weighted F1 score of 62.60%and an accuracy of 64.36%.Overall,the proposed TA-MERT model solves the GBN models’weaknesses in obtaining contextual data for ***-MERT model recognizes human emotions more accurately by employing text augmentation and transformer-based *** balanced dataset and the additional training samples also enhance its *** findings highlight the significance of transformer-based approaches for special emotion recognition in conversations.

关键词： Emotion recognition in conversation graph-based network text augmentation-basedmodel multimodal emotion lines dataset bidirectional encoder representation for transformer

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Synchronous Control of H-type Linear Motor System via Super-Twisting Sliding Mode

Synchronous Control of H-type Linear Motor System via Super-...

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2024 China Automation Congress, CAC 2024

作者： Liu, Jiawei Li, Xiaolei Tang, Feilong Kui, Qixin Spasic, Miodrag D. Department of Control Science and Engineering Harbin Institute of Technology Harbin China Department of Control Systems Faculty of Electronic Engineering University of Nis Nis Serbia

ISBN: (纸本)9798350368604

In this paper, a synchronous control strategy based on super-twisting sliding mode algorithm is proposed to enhance the tracking accuracy and robustness of H-type linear motor systems. Such systems are widely utilized in precision manufacturing owing to their high precision and fast response. Firstly, the dynamic model is established based on the coupling dynamics analysis of the H-type system. Secondly, a super-twisting sliding mode controller (STSMC) with linear terms is designed, which effectively reduces the chattering associated with conventional sliding mode control, while maintaining good robustness. Thirdly, a super-twisting extended state observer (STESO) is introduced to handle large fluctuations in the early estimation process of linear extended state observer (LESO), so as to effectively observe and compensate the uncertainties and external disturbances. Finally, experimental results demonstrate that the STESO-based STSMC greatly improves the anti-disturbance ability and tracking accuracy of the H-type system. © 2024 IEEE.

关键词： Sliding mode control

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Hierarchical Event-Triggered systems: Safe Learning of Quasi-Optimal Deadline Policies 63

Hierarchical Event-Triggered Systems: Safe Learning of Quasi...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Ong, Pio Mazo, Manuel Ames, Aaron D. California Institute of Technology Department of Mechanical and Civil Engineering PasadenaCA91125 United States Delft University of Technology Delft Center for Systems and Control Faculty of Mechanical Engineering Netherlands

ISBN: (纸本)9798350316339

We present a hierarchical architecture to improve the efficiency of event-triggered control (ETC) in reducing resource consumption. This paper considers event-triggered systems generally as an impulsive control system in which the objective is to minimize the number of impulses. Our architecture recognizes that traditional ETC is a greedy strategy towards optimizing average inter-event times and introduces the idea of a deadline policy for the optimization of long-term discounted inter-event times. A lower layer is designed employing event-triggered control to guarantee the satisfaction of control objectives, while a higher layer implements a deadline policy designed with reinforcement learning to improve the discounted inter-event time. We apply this scheme to the control of an orbiting spacecraft, showing superior performance in terms of actuation frequency reduction with respect to a standard (one-layer) ETC while maintaining safety guarantees. © 2024 IEEE.

关键词： Orbits

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Experimental Study of Mode Transition in a Cavity-based Dual-Mode Scramjet Combustor

Experimental Study of Mode Transition in a Cavity-based Dual...

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AIAA Science and technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Dolnik, Alexander Kaner, Rudy Michaels, Dan Saraf, Shimon Faculty of Aerospace Engineering Technion—Israel Institute of Technology Haifa32000 Israel Rafael Advanced Defense Systems Ltd. Israel

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This study aims to understand the governing parameters and dynamic combustion behavior during the scramjet-ramjet transition in a dual-mode scramjet with a cavity flame holder. The study is conducted on a water-cooled dual-mode scramjet combustor, enabling relatively long experiments to achieve the transition at a quasi-steady state when the thermal balance between the reacting flow and combustor walls is achieved. The combustor also incorporates a long isolator that can sustain the whole length of the shock train and enable studying the isolator-combustor interaction during the combustion mode transition. This transition process is experimentally investigated by measuring the static pressure along the walls and CH* chemiluminescence imaging. The fuel used in this study is a mixture of ethylene and methane at different mixture ratios. The main emphasis is on the flame stabilization dynamics before, during, and after the mode transition. The paper provides insight into the effect of equivalence ratio and fuel composition on the flame stabilization modes and operation mode transition. It is shown that the transition in flame stabilization mode due to a change in equivalence ratio or fuel composition (cavity shear layer vs. jet wake) is accompanied by operation mode transition (scramjet mode vs. ramjet mode). © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Combustors

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Project Assessment in Offshore Software Maintenance Outsourcing Using Deep Extreme Learning Machines

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Computers, Materials & Continua 2023年第1期74卷 1871-1886页

作者： Atif Ikram Masita Abdul Jalil Amir Bin Ngah Saqib Raza Ahmad Salman Khan Yasir Mahmood Nazri Kama Azri Azmi Assad Alzayed Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala NerusMalaysia Department of Computer Science&Information Technology Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan Department of Software Engineering Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan Advanced Informatics Department Razak Faculty of Technology and InformaticsUniversiti Teknologi Malaysia54100Kuala LumpurMalaysia Computer Science and Information Systems Department College of Business Studies Public Authority for Applied Education and Training(PAAET)AdailiyahKuwait Department of Computer Science Sharif College of Engineering&TechnologyLahore54000Pakistan

Software maintenance is the process of fixing,modifying,and improving software deliverables after they are delivered to the *** can benefit from offshore software maintenance outsourcing(OSMO)in different ways,including time savings,cost savings,and improving the software quality and *** of the hardest challenges for the OSMO vendor is to choose a suitable project among several clients’*** goal of the current study is to recommend a machine learning-based decision support system that OSMO vendors can utilize to forecast or assess the project of OSMO *** projects belong to OSMO vendors,having offices in developing countries while providing services to developed *** the current study,Extreme Learning Machine’s(ELM’s)variant called Deep Extreme Learning Machines(DELMs)is used.A novel dataset consisting of 195 projects data is proposed to train the model and to evaluate the overall efficiency of the proposed *** proposed DELM’s based model evaluations achieved 90.017%training accuracy having a value with 1.412×10^(-3) Root Mean Square Error(RMSE)and 85.772%testing accuracy with 1.569×10^(-3) RMSE with five DELMs hidden *** results express that the suggested model has gained a notable recognition rate in comparison to any previous *** current study also concludes DELMs as the most applicable and useful technique for OSMO client’s project assessment.

关键词： Software outsourcing deep extreme learning machine(DELM) machine learning(ML) extreme learning machine assessment

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