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A Review of Various Optimization Techniques for the Selection of Insulating Fluids in Power and Distribution Transformer Applications

A Review of Various Optimization Techniques for the Selectio...

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2025 ieee international Students' conference on Electrical, Electronics and computer science, SCEECS 2025

作者： Sarathkumar, D. Raj, Raymon Antony Geethalakshmi, M. Jayakumar, T. Manivel, Murugesan Ponnusamy, Sabarish Kongu Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638 060 India Kongunadu College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu 621215 India Nandha Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638052 India Karpagam Institute of Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore641021 India Department of Electrical and Electronics Engineering Tamil Nadu Samayapuram621112 India

ISBN: (纸本)9798331529833

The selection of insulating fluids is critical for the reliable and efficient operation of power and distribution transformers. This paper provides a comprehensive review of various optimization techniques employed to select the most suitable insulating fluids for these applications. The focus is on evaluating the performance, environmental impact, and economic feasibility of different fluids, including mineral oils, synthetic esters, and natural esters. We analyze optimization methods such as genetic algorithms, particle swarm optimization, and multi-criteria decision-making approaches, highlighting their advantages and limitations. Additionally, this review addresses recent advancements and future directions in the field, aiming to guide researchers and engineers in making informed decisions for transformer insulation. By synthesizing existing studies, this paper contributes to the development of more efficient, sustainable, and cost-effective transformer systems. © 2025 ieee.

关键词： Distribution transformers

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Physically Robust and Imperceptible Adversarial Examples Generation Based on Frequency

Physically Robust and Imperceptible Adversarial Examples Gen...

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2025 ieee international conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Hua, Chengyao Chen, Yitian Zhang, Shigeng Liu, Xuan Wang, Senzhang Wang, Weiping Chen, Kai School of Computer Science and Engineering Central South University Changsha China College of Computer Science and Electronic Engineering Hunan University Changsha China Institute of Information Engineering Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350368741

Adversarial examples generated in digital space may fail to work in the physical world because the recapture process will ruin the adversarial property of the examples. Several approaches have been proposed to generate adversarial examples that can survive in the physical world, they however either introduce markedly perceptible patterns (e.g., adversarial patches) or suffer from a low attack success rate due to improper perturbation propagation. In this work, we propose PRIA, a frequency-based approach to generating Physically Robust and Imperceptible Adversarial examples. PRIA reforms the pipeline of perturbation generation such that adversarial property of the generated examples retains after the recapture process. The experimental results reveal that PRIA outperforms state-of-the-art solutions, improves the attack success rate in the physical world by up to 19%, and meanwhile achieves the highest perceptual quality. © 2025 ieee.

关键词： adversarial attack imperceptible perturbations just noticeable differences physical attack

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Robust Signal Processing Approaches for Enhancing Communication Reliability in Ultra-Dense Massive MIMO Networks Facing Fading Challenges 3

Robust Signal Processing Approaches for Enhancing Communicat...

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3rd ieee international conference on automation and Computation, AUTOCOM 2025

作者： Moray, Rashmy Kumari, Savita Upadhyay, Deepak Sharma, Rashmi Ranswal, Aakash Singh Venu, Nookala Symbiosis International Deemed University India School of Computing Science and Engineering Galgotias University Greater Noida India Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Department of Cse Nagpur Campus Pune India Madhav Institute of Technology & Science Deemed University Centre for Internet of Things Gwalior India

ISBN: (纸本)9798331542375

The goal of this paper is to introduce robust signal processing techniques for realistic communication scenarios with fading in ultra-dense massive MIMO communications. The proposed techniques tackle major challenges like channel estimation accuracy, interference management, and energy efficiency, which are essential for sustaining high performance in highly dense and dynamic scenarios. The proposed system outperforms traditional algorithms through advanced techniques and pilot contamination mitigation, interference-to-signal ratio optimization, and hybrid relaying. It is shown by the simulation results those considerable gains in spectral efficiency, energy efficiency and packet errors are achieved, even in the presence of varying user mobility and hardware impairments. These approaches provide reliable communication and optimize the network performance and thus are desirable for future ultradense 6G networks. © 2025 ieee.

关键词： Network coding

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A Power-voltage coordinated control strategy of inverters in low-voltage distribution networks

A Power-voltage coordinated control strategy of inverters in...

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2024 international conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Wei, Yinzhong Mei, Jianchun Zhou, Yalong Su, Jiabin Yan, Anxin Zhou, Zhen China Energy Engineering Group Jiangsu Power Design Institute Co. Ltd. Nanjing211102 China Jiangsu Keneng Electric Power Engineering Consulting Co. Ltd. Nanjing210000 China School of Automation Nanjing University of Science and Technology Nanjing210094 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Considering the problem concerning voltage beyond limit caused by the photovoltaic generators in low-voltage distribution network system, a power-voltage coordinated manage method about inverters is offered to deal with voltage beyond limit by photovoltaic generators. This method can give priority to voltage adjustment through reactive power belonging to the PV, if the reactive regulation ability from the PV reaches its limit while the voltage continues to exceed the limit, an active power reduction control based on sparrow search algorithm is further adopted to minimize the waste of photovoltaic active power and avoid voltage beyond limit. The simulation outcomes confirm the potency as well as advantages belonging to the offered method in dealing with the beyond-limits about voltage created by the PV. © 2025 SPIE.

关键词： Photovoltaics Control systems Lithium Solar energy Resistance automation Mathematical optimization Algorithm development Design Safety

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Classification of Millet Cultivars Using Image Processing and Machine Learning Techniques

Classification of Millet Cultivars Using Image Processing an...

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2025 ieee international conference on Computational, Communication and Information Technology, ICCCIT 2025

作者： Bharambe, Dewendra Aher, Pushpalata Sandip University Department of Computer Science and Engineering Nashik India

ISBN: (纸本)9798331512965

India is one of the leading producers of various millet cultivars. Indian millets are a class of highly nutritious, drought-resistant crops that are mostly cultivated in the country's semi-arid and drought-prone regions. The most popularly cultivated millet varieties in India are Sorghum (Jowar), Pearl millet (Bajra), Barnyard Millet (Bhagar), Foxtail millet (Kangi), Amaranth (Rajgira), Red sorghum (Chikani), Finger millet (Nachani), and White sorghum (Dadar). In addition to being a wholesome dietary source, millets offer several health advantages. Since they don't contain gluten, they're an excellent alternative for anyone with gluten sensitivity or coeliac disease. Additionally low in glycemic index;millets are a great meal choice for diabetics. Each cultivar has a different nutritional composition and uses. Also, the majority of the time the farmers adapted the millet seeds obtained from their crop hence to preserve the purity of seeds and quality of produce it is very important to classify different millet cultivars. However, the classification of millet cultivars is a complex and time-consuming process. automation in millet cultivar classification becomes greatly beneficial with improved accuracy and efficiency. This study presents the effective classification of eight different millet cultivars using different machine-learning classifiers along with image processing techniques, based on the derived color features. © 2025 ieee.

关键词： Seed

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Analyzing Risk Level from RoI and VoI for Robust Data Privacy using Fuzzy Inference System 4

Analyzing Risk Level from RoI and VoI for Robust Data Privac...

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4th international conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2025

作者： Rongon, Rabab Khan Akhtaruzzaman, M. Das, Krishna Sharif, Shekh Tanjil Military Institute of Science and Technology Department of Computer Science and Engineering Dhaka Bangladesh Dhaka Bangladesh Dhaka Bangladesh

ISBN: (纸本)9798331530938

In the modern digital environment, securing data privacy has become increasingly critical as organizations confront rising threats from cyber-attacks and data breaches. To safeguard sensitive information, businesses must invest in robust data protection measures, yet balancing these investments with their potential benefits remains challenging. This research addresses this issue by proposing a novel framework that integrates Return on Investment (RoI) and Value of Information (VoI) within a Fuzzy Inference System (FIS) to assess data privacy risks effectively. RoI measures the financial return relative to the cost of data protection investments, indicating the economic value derived from such measures. VoI, on the other hand, evaluates the worth of the information protected by these investments, reflecting its impact on decision-making and operational efficiency. By employing a FIS, which accommodates uncertainties and imprecise data, this framework provides a nuanced approach to risk assessment, enabling organizations to optimize their data privacy strategies. The integration of RoI and VoI within the FIS allows for a comprehensive evaluation of risk levels, facilitating more informed decision-making and improved risk management. This research aims to enhance data privacy practices by offering a methodical and adaptable tool for evaluating and balancing investments in data protection. © 2025 ieee.

关键词： Differential privacy

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A New Method for One-Pedal Driving With Fuzzy-Based Efficiency-Optimization Algorithm

A New Method for One-Pedal Driving With Fuzzy-Based Efficien...

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2025 ieee international conference on Mechatronics, ICM 2025

作者： Heydrich, Marius Hammer, Tim Mitsching, Thomas Ivanov, Valentin Technische Universitä t Ilmenau Dept. of Computer Science and Automation Ilmenau Germany Technische Universitä t Ilmenau Dept. of Mechanical Engineering Ilmenau Germany

ISBN: (纸本)9798331533892

This paper presents a case study on adaptive one pedal driving for a battery electric sport utility vehicle with in wheel based rear-wheel drive that is able to adjust the drive pedal curve automatically. In addition, a fuzzy logic observes the state of the electric machines to adapt the motor torque to the most efficient region. The control method was tested in a co-simulation using a validated vehicle model and a driver-in-the-loop strategy. Within the experiments, an improvement in energy recovery of up to 4.8 % was achieved compared to the classic brake blending. In addition, the total number of brake pedal applications is ten times lower, which translates into less driving stress and greater driving comfort, especially on long distance trips, proving the effectiveness of the controller. © 2025 ieee.

关键词： Vehicle wheels

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On Road Wireless Electric Vehicle Charging Prototype using Solar Panel

On Road Wireless Electric Vehicle Charging Prototype using S...

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2025 ieee international Students' conference on Electrical, Electronics and computer science, SCEECS 2025

作者： Mondal, Sanjoy Pal, Madhumita Saha, Shubhradeep Das, Raja Mondal, Kaushik Kumar Dey, Ritam Sonar, Santosh Center of Excellence Iifr Institute of Engineering & Management School of Uem Electrical Engineering Department Kolkata India Institute of Engineering & Management School of Uem Electrical Engineering Department Kolkata India Thapar University Eie Department Punjab Patiala India

ISBN: (纸本)9798331529833

This paper presents a wireless electric vehicle (EV) charging system, enabling continuous energy transfer while in motion. The system utilizes solar panels to generate DC voltage, converted to AC by an inverter, powering transmitting coils embedded under the road. These coils produce an alternating magnetic flux, inducing an AC electromotive force (EMF) in receiving coils attached to the vehicle. The induced EMF is rectified by rectifier and regulated using a TP4056 module and IC7805, charging the vehicle's battery. This innovative approach eliminates range anxiety, reduces battery size and weight, and enhances safety and convenience. Wireless power transfer mitigates electrocution risks and enables automatic charging initiation. The system facilitates dynamic wireless charging, ideal for EVs in motion or during brief stops, complementing static charging methods. © 2025 ieee.

关键词： Wireless charging

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SMS Spam Detection using Advance Naive-Bayes Approach

SMS Spam Detection using Advance Naive-Bayes Approach

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2025 international conference on Pervasive Computational Technologies, ICPCT 2025

作者： Arora, Yojna Gupta, Neha Rathore, Yogesh Singh Bansal, Nidhi Mehta, Aina Chadha, Shikha Kumar, Ashwani Sharda University Department of Computer Science and Engineering Greater Noida India Symbiosis University of Applied Sciences School of Computer Science & Information Technology Madhya Pradesh Indore India Sharda University School of Engineering and Technology Department of Computer Science and Applications Uttar Pradesh Greater Noida India School of Engineering and Technology Department of Computer Science & Engineering Haryana Faridabad India Bennett University School of Computer Science Engineering and Technology India

ISBN: (纸本)9798331508685

Recently, with increased use of mobile phones, it has transformed into a multibillion-dollar Short Message Service or SMS. However, the drop in the cost of messaging services has led to an increased number of unsolicited commercial messages, or spam, being delivered to mobile phones. Several reasons exist for which traditional algorithms used in email filtering may not efficiently classify the spam in SMS such as the absence of strong SMS spam databases, with the short length and features of the message, the informal language used, etc. This paper uses a real SMS spam database After preprocessing the data and extraction of relevant features, Naïve Bayes machine learning techniques is applied to get the results. Then it is analyzed using confusion matrix, accuracy, precision and recall values. A learning curve with clearly defined relationship between the training and testing data set and overall error at the end. © 2025 ieee.

关键词： Adversarial machine learning

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Bees Swarm Optimization Based Prediction of Machined Fatigue Failure 3

Bees Swarm Optimization Based Prediction of Machined Fatigue...

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3rd ieee international conference on automation and Computation, AUTOCOM 2025

作者： Sumithra, M. Sahebzathi, S. Parveen, Nikhat Arun, K.K. Dahane, Ganesh Madhukar Nagabalan, U. School of Computing Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Velammal College of Engineering and Technology Department of Cse Madurai India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Guntur India Kumaraguru College of Technology Department of Mechanical Engineering TamilNadu Coimbatore India Dr. Vithalrao Vikhe Patil College of Engineering Maharashtra Ahmedhnagar India R.M.D. Engineering College Department of Science and Humanities - General Engineering Chennai India

ISBN: (纸本)9798331542375

Artificial intelligence approach is now able to anticipate fatigue failure of machined components based on elementary key numbers without the need for professional knowledge of evaluation processes. In this paper, we develop a meta-heuristic approach for the prediction of defects using Bees Swarm Optimisation (BSO) in machined components. The study mainly predicts the fatigue failure by training the BSO experimentally with the training datasets. The three most essential input variables are the load stress, the hardness of the material, and the size of the fatal flaw (KD). In the context of fatigue testing, the only outcomes that may be determined are failure or non-failure. In this investigation, a single data set is generated for each specimen that is examined. When a full fracture has occurred at a given stress level, fracture surface analysis estimates the size of the deadly flaw that has formed. The architecture and hyperparameters of the neural network are cross-validated using a K-fold technique in order to get the highest possible prediction accuracy. After all is said and done, a cautious mean fatigue failure prediction accuracy of 92% is achieved. © 2025 ieee.

关键词： Fatigue testing

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