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24th ieee International conference on Software Quality, Reliability and Security Companion, QRS-C 2024

作者： Zayed, Ahmad Ahmad, Amro Al-Said Philadelphia University Faculty of Information Technology Amman Jordan School of Computer Science and Mathematics Keele University Staffordshire United Kingdom

ISBN: (纸本)9798350365658

This study explores the use of chaos engineering in evaluating the performance and resilience of serverless applications, which are built as complex distributed systems subject to different types of failures and errors. By intentionally injecting controlled failures and uncertainty into the system, we evaluate the impact of random delay injections on Lambda functions using two methods: one during code execution and the other during runtime. Our research aims to evaluate the performance and resilience of Lambda functions under controlled chaos experiments and study the impact of faults on serverless applications' behaviour by comparing the results with the baseline data regarding performance metrics. © 2024 ieee.

关键词： Chaos control

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CMMQC: Cascaded Multi-Model Quality control for Unsupervised Data-to-Text Generation

CMMQC: Cascaded Multi-Model Quality Control for Unsupervised...

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International Joint conference on Neural Networks (IJCNN)

作者： Zhang, Weitian Sun, Xu Luo, Yangxing Gao, Wei Zhu, Yanchun Pazhou Lab Guangzhou Peoples R China China Unicom Digital Intelligence Med Technol Co Guangzhou Peoples R China

ISBN: (纸本)9798350359329;9798350359312

Data-to-text (D2T) generation, the task of converting structured data into natural language, has extensive real-world applications. While supervised models have achieved promising results, they rely heavily on costly labeled training data. This paper investigates unsupervised D2T generation by leveraging the impressive general abilities of large language models (LLMs). We propose a framework for LLMs to collaboratively learn from unlabeled data through cascaded multi-model quality control. Specifically, one LLM, acting as a writer, generates candidate texts from input data. Additional LLMs, serving as checkers, validate output quality to filter high-quality samples for training the writer LLM. By cascading generation, checking, and meta-checking, the models extract linguistic knowledge and grounding ability from abundant unlabeled data. Experiments on established benchmarks demonstrate enhanced fluency, accuracy, and coherence compared to supervised baselines. This unsupervised approach circumvents labeled data dependence, unlocking readily available LLMs for on-demand D2T generation across diverse applications.

关键词： large language model data-to-text multi-model unsupervised learning.

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An Automated Policy Verification and Enforcement Framework for Ethereum applications 5

An Automated Policy Verification and Enforcement Framework f...

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5th ieee International conference on Blockchain and Cryptocurrency (ICBC)

作者： Sahoo, Swagatika Halder, Raju Mondal, Samrat IIT Patna Dept Comp Sci & Engn Patna Bihar India KIIT Univ Sch Comp Engn Bhubaneswar Odisha India

ISBN: (纸本)9798350310191

In recent years, with the support of appropriate smart contract-based access control policies, blockchain technology has proven to be a compelling solution for providing a unified, trusted platform for resource sharing. However, due to the immutability property of blockchain, it can be challenging to patch or fix bugs after the deployment of a smart contract. Therefore, it is critical to ensure that the smart contract access control policies adhere to all specifications prior to their deployment, and the presence of anomalies within policies is not desirable. Thus, this paper proposes an automated policy verification and enforcement framework for Ethereum decentralized applications, which supports an automated off-chain policy verification before its deployment to the underlying blockchain. We integrate a verification engine within the off-chain module paired with a translator to convert XACML policies into Solidity smart contracts and vice-versa. Additionally, the experiments performed on benchmark XACML policies further reinforce the pragmatism of our proposal.

关键词： Smart contract

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Comparison of Current control Techniques in Boost PFC Converter for EV Battery Charging applications 4

Comparison of Current Control Techniques in Boost PFC Conver...

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4th ieee International conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

作者： Likhar, Yogesh Saurav, Suman Ramteke, M.R. Keshri, Ritesh Kumar Visvesvarya National Institute of Technology Depanment of Electrical Engineering Nagpur India

ISBN: (纸本)9798350383997

The power quality of the grid is a major issue for electrical power system. Thus, power factor and harmonic profile of the current must be improved to comply with IEC standards. In this paper, a boost converter is employed as a Power Factor Correction (PFC) mechanism for EV Charger Within this topology, precise control is applied to the inductor current, aligning it with the rectified pulsed DC voltage. The adjustment of the duty ratio in the boost converter is instrumental in achieving power factor correction. The paper conducts a comparative study, scrutinizing two distinct current control strategies for the boost converter i.e. current control using PI controller and hysteresis band control. Simulation and experimental results are then presented to validate and substantiate the efficacy of the proposed approach. © 2024 ieee.

关键词： Hysteresis

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Secondary Droop control Supported Cascaded PR controller for SCIM-Based Water Pumping System 4

Secondary Droop Control Supported Cascaded PR Controller for...

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4th ieee International conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

作者： Verma, Akash Deep Gaur, Prerna Tomar, Anuradha Netaji Subhas University of Technology Instrumentation & Control Engineering Department Delhi India Netaji Subhas University of Technology Electrical Engineering Department Delhi India

ISBN: (纸本)9798350383997

The squirrel cage induction machine (SCIM) based water pumping system (WPS) remains a cost-effective and robust option compared to other alternatives. However, the voltage-to-frequency-based controllers and direct-on-line (DOL) start of SCIM within solar PV-based microgrids (MGs) result in voltage dips and harmonic disturbances. Hence, other electrical applications can't be used in parallel. The SCIM needs a dedicated system that increases the overall cost. Hence, maintaining load voltage and frequency constant in a power system with ieee 519 standards is very critical with a SCIM-based WPS. To address this issue, a secondary droop-control supported cascaded proportional resonant (CPR) controller has been proposed and tested for a three-phase voltage source inverter (VSI) in a grid-interactive solar PV system for SCIM-based WPS. The objective is to keep constant load voltage and frequency with enhanced power quality as per ieee 519 standards and optimize power management so that other applications can also be used in parallel with the same controller. Additionally, a 'Grid-Start Grid-Run' mode has been discussed to protect solar modules from over-current during the DOL start of the WPS. The DC link voltage is regulated to ensure the motor torque and speed remain within specified operational parameters. The proposed control is stable, robust, and cost-effective, offering the flexibility to operate in islanded mode when necessary. © 2024 ieee.

关键词： Squirrel cage motors

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Daylight-Adaptive Lighting control Techniques: A Comparative Analysis of Particle Swarm Optimization and Firefly Algorithm 4

Daylight-Adaptive Lighting Control Techniques: A Comparative...

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4th ieee International conference in Power Engineering applications, ICPEA 2024

作者： Wagiman, Khairul Rijal Adnan, Mohd Faiz Md Hussin, Imran Nor, Mohd Hairwan Md Din, Asri Focus Group Faculty of Technical and Vocational Education Johor Batu Pahat Malaysia Focus Group Faculty of Technical and Vocational Education Johor Batu Pahat Malaysia Universiti Teknikal Malaysia Melaka Hang Tuah Jaya Durian Tunggal Faculty of Electrical Technology and Engineering Department of Technology Melaka Malaysia

ISBN: (纸本)9798350344578

Lighting in commercial buildings consumes a substantial amount of energy. Therefore, this paper developed particle swarm optimization (PSO) and firefly algorithm (FA) as control techniques for lighting systems to improve energy efficiency and satisfy occupants' visual comfort in an indoor environment. An office room was considered to test the performance of the PSO and FA techniques. The proposed methods showed superior performance in minimizing the cost of energy consumption by more than 60% while satisfying illuminance-based metrics mentioned by the European Standard EN 12464-1. Based on the comparative result, PSO outperformed FA by 3% in energy savings. Due to its performance, the proposed PSO method can be utilized for other types of buildings. © 2024 ieee.

关键词： Energy efficiency

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Flux-weakening control of PMSM Based on Model Predictive control 3

Flux-weakening Control of PMSM Based on Model Predictive Con...

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3rd ieee International conference on Power, Electronics and Computer applications, ICPECA 2023

作者： Wang, Wenjing Xiao, Chun Liu, Yan Wan, Yu Wuhan University of Technology Foshan Xianhu Laboratory The Advanced Energy Science and Technology Guangdong Laboratory Wuhan China Wuhan University of Technology Foshan Xianhu Laboratory The Advanced Energy Science and Technology Guangdong Laboratory Foshan China

ISBN: (纸本)9781665472784

In this study, an effective flux-weakening control for permanent magnet synchronous motor (PMSM) is proposed, which combines model predictive control (MPC) with vector control. On the one hand, in order to achieve full-speed domain control, the optimal working point of the motor running is tracked and the reference current is calculated according to the feedback information in the speed control loop. On the other hand, MPC replaces the three PI controllers of the speed loop and the current loop in the traditional vector control, which not only does not need to set the PI parameters, but also improves the rapidness and accuracy of the speed control system. The results show that, compared with traditional vector control, the proposed control method has a great dynamic response and disturbance rejection performance in the full-speed domain. © 2023 ieee.

关键词： Model predictive control

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Interaction Effects of PM Tolerances and Rotor Eccentricities on Cogging Torque of 12-slot/10-pole PM Machines

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ieee TRANSACTIONS ON INDUSTRY applications 2024年第5期60卷 6648-6659页

作者： Xiang, Dong Zhu, Z. Q. Liang, Dawei Wu, Yuehong Xu, Fei Cheng, Yunfeng Univ Sheffield Dept Elect & Elect Engn Sheffield S1 3JD England Midea Elect Machines & Control Syst R&D Ctr Shanghai 201210 Peoples R China

This paper investigates the interaction effects of permanent magnet (PM) tolerances and rotor eccentricities of 12-slot/10-pole PM machines by finite element method (FEM) and phasor analysis. It is found that the relative location between diversified PMs and eccentric rotor have a significant effect on cogging torque. (a) When a weak (e.g., thin thickness) PM is close to the minimum airgap, rotor static eccentricity and PM tolerances have a strengthening effect to deteriorate cogging torque, but rotor dynamic eccentricity and PM tolerances have a weakening effect to reduce cogging torque. (b) When a strong (e.g., thick thickness) PM is close to the minimum airgap, rotor static/dynamic eccentricity and PM tolerances always have a strengthening effect to deteriorate cogging torque. The experiments verify the FEM-predicted cogging torques and the interaction effects between PM tolerances and rotor eccentricities on cogging torque in the 12-slot/10-pole PM machine.

关键词： Rotors Forging Torque Air gaps Stators Remanence Finite element analysis 12-slot/10-pole PM machine cogging torque finite element method PM tolerances rotor eccentricities

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Smart IoT-Based End-to-End Biodegradable Waste Management technology 1

Smart IoT-Based End-to-End Biodegradable Waste Management Te...

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1st International conference on AIML-applications for Engineering and technology, ICAET 2025

作者： Chaware, Parag Patil, Dipti Durgesh MKSSS's Cummins College of Engineering for Women Department of Mechanical Engineering Pune India MKSSS's Cummins College of Engineering for Women Department of Information Technology Pune India

ISBN: (纸本)9798350355611

Effective biodegradable waste management is a significant challenge in urban environments, particularly with high-volume organic waste like tender coconut shells. This research proposes an innovative IoT-based system for efficient and accelerated decomposition of tender coconut shells into organic manure. By integrating microbiology, mechanical engineering, and information technology, the proposed technology aims to enhance waste processing efficiency, reduce environmental impact, and generate valuable organic manure. The automated system uses regression analysis for predicting the appropriate compression level based on moisture levels. This AI/ML-enabled IoT based waste management system monitors and control the shredding, compression, and decomposition processes, providing a sustainable solution to urban waste management. © 2025 ieee.

关键词： Waste management

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Research on UAV control Based on Intelligent Fuzzy PID control 4

Research on UAV Control Based on Intelligent Fuzzy PID Contr...

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4th ieee International conference on Power, Electronics and Computer applications, ICPECA 2024

作者： Zhang, Qingcai Shandong Vocational College of Science and Technology Weifang261053 China

ISBN: (纸本)9798350359589

According to the force and motion analysis principle of vertical flight, roll flight, pitch flight and yaw flight of quad rotor UAV, the mathematical model is established, the appropriate reference coordinate system is selected. And the quaternion method is selected as the carrier to describe the attitude of quad rotor UAV, and the relationship between quaternion and attitude Euler angle in the space coordinate system, namely roll angle, pitch angle and yaw angle, is constructed as the input of subsequent attitude control. This paper reasons the change matrix when the airframe coordinate system and navigation coordinate system are converted, establishing a nonlinear dynamic model, combining the complementary filtering algorithm and the extended Kalman filtering algorithm to fuse and estimate the collected data. Combining the cascade PID controller, taking it as the frame, and adding the intelligent fuzzy control theory internally, the three values Kp, Ki, Kd of the PID parameters can be adjusted in real time. In this way, the UAV can have better robustness, and the flight control system can intelligently change parameters according to the actual flight situation of the UAV to achieve the optimal control effect. Then, the roll angle, pitch angle, yaw angle and position information of the UAV under PID control mode are simulated through MATLAB/Simulink module. The results show that the optimized PID parameters of fuzzy control have good control ability for attitude angular rate of four rotor UAV and better position control for UAV. © 2024 ieee.

关键词： Coordinate system PID Simulation model UAV

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