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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Nandhini, K. rajkumar, r. Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522667

E-healthcare and mobile healthcare technologies have become increasingly important for efficient healthcare delivery in recent years due to the pandemic's needs for real-time data interchange. The electronic transfer of patient health records, including imaging reports, is made possible by the growing public networks connecting diagnostic labs and hospitals. However, this strategy is unsafe since outside attacks on public networks can expose private health information, leading to inaccurate diagnoses and treatments. To overcome such challenges, methods such as Medical Image Watermarking (MIW) and data encoding are employed to safeguard patient identities and identify instances of tampering. data security is crucial because outsourcing patient records and medical reports to servers exposes them to modification and illegal access. This study presents a new reversible watermarking technique with a large payload and minimal computational expenditure. It divides the medical image into a Border region (Br) and a Non-Border region (NBr). A pseudorandom key encrypts the Electronic Patient record (EPr), which is incorporated in the image after the NBr has been upscaled using Neighbor Mean Interpolation (NMI). The technique, which incorporates both local and global tamper detection, produces remarkable results with robustness against a range of threats and an average PSNr of 61.14 dB with average embedding and extraction times of 0.88 and 0.83 seconds, respectively, the approach is incredibly secure and effective, demonstrating its efficacy in comparison to contemporary, widely used techniques. © 2025 IEEE.

关键词： Electronic health record

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Source IP Hashing Algorithm for Load Balancing in Cloud Server 6

Source IP Hashing Algorithm for Load Balancing in Cloud Serv...

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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Gokul, M. rajkumar, N. Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Institute of Science and Technology Chennai India

ISBN: (纸本)9798331522667

The high trend in the adoption of online banking makes complex load balancing highly crucial to maximize computing capacity in the cloud, data management, and security. This research focuses on analyzing the Source IP Hashing method of load balancing where client requests are evenly distributed depending on their source IP address to provide persistence of client sessions and protect against session hijacking among other risks. The proposed framework, captured in Java, follows a systematic procedure of directing the client requests to the most appropriate servers using hash values generated from the IP address of the clients reducing server resource consumption. The paper also yields numerical results comparing throughput and system responsiveness with pretested significant enhancement affirming that even under high traffic the system achieves high responsiveness and reliability. This analysis proves that Source IP Hashing helps deliver high success rates in request routing while maintaining a 99% retention of session persistence and improving server utility. Thus, the study also proves that Source IP Hashing algorithm enhances the safety and security of data even when distributing the practical load among different servers, which makes it a more innovative solution for easing the problems of cloud-based financial services of the present days. © 2025 IEEE.

关键词： Information management

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A review on VLSI Implementation of Proactive Noise Mitigation System for IoT Application 5

A Review on VLSI Implementation of Proactive Noise Mitigatio...

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5th IEEE International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2025

作者： Arunlal, C.K. Priyadharson, A. Selwin Mich Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Ece Chennai India

ISBN: (纸本)9798350356236

Power dissipation is an important design parameter in Very Large-Scale Integration (VLSI) systems, as it plays a major role in the performance estimation of batteryoperated devices. The review article provides a Power distribution Network (PdN) system using a proactive noise mitigation system for supply voltage with low noise. This proactive noise mitigation system proposes a lightweight current prediction solution to predict the near future noise and a majorminor voltage regulator (MMVr) design to provide fast and wide-range voltage scaling capability. As the chip density increases and the decrease in the chip size will help to design a low-power consuming and high-performance System on a chip. For this low-noise PdN design, a chip load model is also designed to fill the gap between the PdN design with off-chip and timing information with on-chip. The review article aims to help the researchers to design a supply voltage of a low-noise power distribution network (PdN) system and implement it into an Internet of Things (IoT) application. © 2025 IEEE.

关键词： discrete event simulation

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Analysis of Shielding Structure and Material of MVdC-Class Current Sensor for Securing Magnetic Field Immunity

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Transactions of the Korean Institute of Electrical Engineers 2025年第4期74卷 753-759页

作者： Cho, Juhee Kim, Suyong Lee, Seungjae Kim, Byungtaek Department of Electrical Engineering Kunsan National University Gunsan Korea Republic of Korean Electronics Technology Institute Gwangju Korea Republic of Dept. of R&D CTE TECH CO. LTD. Korea Republic of

The current sensor of medium voltage dC converter station is basically required to have accuracy and linearity, and it must be immunity to the severe electromagnetic environment in the converter station. This paper analyzed the shielding structure and shielding material to satisfy the magnetic field immunity of MVdC-class current sensors. In order to evaluate the shielding characteristics against external magnetic fields, the test conditions specified in KS C 9610-4-8, 9 were referenced. The magnetic field strength and magnetic flux density distribution inside the sensor part, which can affect the current measurement, were calculated through three-dimensional finite element analysis. The analysis results are expected to be useful reference data for shielding design of fluxgate type current sensors. © The Korean Institute of Electrical Engineers.

关键词： Magnetic shielding

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Instability and Stabilization Filter of df/dt-Type Virtual Inertia Control Comparing to Synchronous Machines

IEEE Open Journal of Power Electronics

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IEEE Open Journal of Power Electronics 2025年 6卷 849-857页

作者： Ueda, Takumi Sano, Kenichiro Terazono, daisuke Nada, Kaho Institute of Science Tokyo Department of Electrical and Electronic Engineering Meguro Tokyo1528550 Japan Mitsubishi Electric Advanced Technology R&D Center Hyogo Amagasaki6618661 Japan

With the increase of inverter-based resources, the reduction in grid inertia has become an issue. To overcome this problem, various virtual inertia controls have been proposed. df/dt control is a candidate for practical application since it can be integrated into conventional current controlled inverters. However, df/dt control can make the system unstable under certain conditions. A common solution is to use a low-pass filter (LPF), but there is no clear answer to why df/dt control becomes unstable and the LPF can improve stability. As a result, there are no general design criteria of the LPF for various plants. This paper focuses on the stability of a current-controlled inverter with df/dt-type virtual inertia control. The authors analyze the dynamic characteristics of a synchronous generator and demonstrate the existence of a second-order delay between the frequency of the point of common coupling (PCC) voltage and the speed of the rotor. The result demonstrates an equivalence between this delay and LPF for stabilization in df/dt control. Then, this second-order delay is implemented in df/dt control as an LPF. The influence of this LPF for stability is analyzed by EMT simulations and Bode plot of the entire system. These results illustrate that the LPF is indispensable for df/dt control, and parameters corresponding to synchronous generators can be used as a design criterion of the LPF. © 2020 IEEE.

关键词： Stabilization

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Synthetic data Generation Using GANs for Improved Machine Learning Models 12th

Synthetic Data Generation Using GANs for Improved Machine Le...

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12th International Conference on recent Trends in Computing, ICrTC 2024

作者： Vinoth Kumar, S. Kumar, Kavuri Santosh Kotteeswaran, C. Manoj, S. Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai India

ISBN: (纸本)9789819789450

Explores the utilization of Generative Adversarial Networks (GANs) for generating synthetic images to address challenges related to limited data availability and privacy concerns. GANs, trained on diverse datasets, are capable of producing high-fidelity images from random noise. For example, training a GAN on the MNIST dataset allows for the creation of digit images that closely resemble those in MNIST, which can then be used to train other neural networks. Our evaluations demonstrate that these synthetic images maintain high fidelity and are effective in various tasks, including classification and object detection. This highlights the potential of GANs for dataset augmentation and enhancement of model performance, providing a viable solution for expanding training datasets while preserving data privacy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Generative adversarial networks

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Enhancing Battery durability: Early Life Cycle Prediction Through Machine Learning 2

Enhancing Battery Durability: Early Life Cycle Prediction Th...

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2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Vinod, dasari Naga Kapileswar, N. Simon, Judy Aarthi Elaveini, M. Polasi, Phani Kumar Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of ECE Chennai India SRM Institute of Science and Technology Ramapuram Department of ECE Chennai India Chalapathi Institute of Technology Department of ECE Guntur India

ISBN: (纸本)9798331505745

In this paper, the battery life using Machine Learning Algorithms was predicted using MATLAB Software. Early and accurate predictions are important for electric vehicles, electronics, and energy storage. Traditional methods need a lot of real-time data, leading to inefficiencies. This article uses machine learning to predict battery performance early, based on factors like temperature, voltage, and current during initial charge-discharge cycles. Mechanisms such as Gradient Boosting, random Forest, SVM, as well as Neural Networks, are tested with historical battery data to find patterns of degradation. The study also explores how well these models work for different types of batteries. © 2025 IEEE.

关键词： Lithium-ion batteries

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Transforming Ophthalmology: A CNN-Based Mechanism for diabetic retinopathy Screening 4

Transforming Ophthalmology: A CNN-Based Mechanism for Diabet...

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4th International Conference on Power, Control and Computing Technologies, ICPC2T 2025

作者： Vinod, dasari Naga Sai Varshim, N. Shukriya, M. Sai Manusha, G. Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (纸本)9798331530402

diabetic retinopathy (dr) is a solemn eye ailment that can root vision loss if not diagnosed. It is a complication of diabetes and is caused when high blood sugar destroys the retina. While dr cannot be reversed, early detection and treatment can prevent or slow down vision loss. Traditional physical prognosis of dr by ophthalmologists can be inefficient, prone to errors, and expensive. Computer-aided finding systems, especially those using deep learning mechanisms, have produced great promise by enhancing the accuracy of dr recognition. Convolutional Neural Networks (CNNs) are a particular kind of deep learning mechanism that has been highly successful in analyzing medical images. In this study, we achieved a 95% accuracy in detecting dr using a CNN-based approach. © 2025 IEEE.

关键词： Convolutional neural networks

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Mesoporous SiO2 nanoparticles with low surface energy and multilevel roughness as shale wellbore stabilizers in oil-based drilling fluid

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Petroleum Science 2025年第1期22卷 384-397页

作者： Hong-Yan du Kai-He Lv Jin-Sheng Sun Mei-Chun Li Yuan Geng Xian-Bin Huang Hao-Kun Shen Muhammad Arqam Khan School of Petroleum Engineering China University of PetroleumEast China Key Laboratory of Unconventional Oil & Gas Development Ministry of Education CNPC Engineering Technology R&D Company Ltd. Co-Innovation Center of Efficient Processing and Utilization of Forest Resources College of Materials Science and Engineering Nanjing Forestry University Department of Petroleum Engineering NED University of Engineering & Technology

Oil-based drilling fluids possess excellent properties such as shale inhibition, cuttings suspension, and superior lubrication, making them essential in the development of unconventional oil and gas ***, wellbore instability, caused by the invasion of drilling fluids into shale formations, remains a significant challenge for the safe and efficient extraction of shale oil and gas. This work reports the preparation of mesoporous SiO2nanoparticles with low surface energy, utilized as multifunctional agents to enhance the performance of oil-based drilling fluids aimed at improving wellbore stability. The results indicate that the coating prepared from these nanoparticles exhibit excellent hydrophobicity and antifouling properties, increasing the water contact angle from 32°to 146°and oil contact angle from 24°to134.8°. Additionally, these nanoparticles exhibit exceptional chemical stability and thermal *** these nanoparticles into oil-based drilling fluids reduced the surface energy of the mud cake from 34.99 to 8.17 m J·m-2and increased the roughness of shale from 0.26 to 2.39 μm. These modifications rendered the mud cake and shale surfaces amphiphobic, effectively mitigating capillary infiltration and delaying the long-term strength degradation of shale in oil-based drilling fluids. After 28days of immersion in oil-based drilling fluid, shale cores treated with MF-SiO2exhibited a 30.5% increase in compressive strength compared to untreated cores. Additionally, these nanoparticles demonstrated the ability to penetrate and seal rock pores, reducing the API filtration volume of the drilling fluid from11.2 to 7.6 m L. This study introduces a novel approach to enhance the development of shale gas and oil resources, offering a promising strategy for wellbore stabilization in oil-based drilling fluid systems.

关键词： Fluorosilane Wettability Wellbore stability drilling engineering Self-cleaning Antifouling

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SelfA-inclinometer: A novel device for evaluating the accuracy of tilting rotary tables in five-axis machine tools

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Precision Engineering 2025年 95卷 38-51页

作者： Takahashi, Naoyuki Watanabe, Tsukasa Tobita, Kazuteru R&D Center SANKYO SEISAKUSHO Co. 2290 Honjo Shizuoka Kikugawa439-0018 Japan 1-1-1 Umezono Ibaraki Tsukuba Japan Department of Mechanical Engineering Faculty of Science and Technology Shizuoka Institute of Science and Technology 2200-2 Toyosawa Shizuoka Fukuroi Japan

In this study, we developed a compact, high-precision angle measuring device called the "SelfA-inclinometer". The purpose of the SelfA-inclinometer is to enhance the performance of a tilting rotary table, a crucial component of five-axis machine tools responsible for positioning the tilt and rotation axes. This device measures the tilt angle of the working surface of the table, where a workpiece is mounted, as it rotates around the tilt axis. The measurements are highly accurate, providing indicators for improving design, machining, and assembly accuracy. The measuring device comprises a compact self-calibrating rotary encoder (the SelfA), a rotating device, and a precision level. It mounts directly onto the surface to be measured and can measure a wide 360° range with precision on the order of an arc-second (1 arc-second:″ being 1/3600th of a degree). Comparing it with a national standard angle calibration system as a higher-level device revealed a measurement accuracy of ±2 arc-sec or better. Simultaneous measurements were conducted to compare the results with those obtained from a conventional measuring device like a rotary encoder, assessing the validity and superiority of the measurement. © 2025

关键词： Machine tools

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