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8th World Conference on Smart Trends in Systems Security and Sustainability, WorldS4 2024

作者： Kumar, S. Senthil rajaprakash, S. TamilNadu Chennai India Department of Computer Science & Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamilnadu Chennai India

ISBN: (纸本)9789819786947

due to its potential to revolutionize a variety of industries by providing transaction records that are decentralized and immutable, blockchain technology has received a lot of attention in recent years. However, numerous security issues that put at risk the integrity and dependability of distributed ledger systems impede the widespread use of blockchain. This review paper looks at the many different security problems that blockchain technology has, from basic flaws to new threats. Normal security chances, including 51% assaults, Sybil assaults, twofold spending, and brilliant agreement weaknesses, are examined exhaustively, alongside certifiable instances of safety breaks. In addition, the paper investigates existing mitigation and security solutions like smart contract auditing, cryptographic methods, and improvements to consensus algorithms. Also, arising patterns and future headings in blockchain security, for example, protection improving advancements, versatility arrangements, and quantum-safe cryptography, are talked about to expect and address developing dangers. Through contextual analyses and industry viewpoints, the paper gives experiences into the down-to-earth ramifications of blockchain security issues across different areas. At last, the survey closes by accentuating the significance of progressing exploration and cooperation to improve the security stance of blockchain networks and work with their broad reception in the computerized economy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Smart contract

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Secure and High-Fidelity Medical Image Generation: A GAN-based Approach for Steganography 3

Secure and High-Fidelity Medical Image Generation: A GAN-bas...

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3rd International Conference on Intelligent data Communication Technologies and Internet of Things, IdCIoT 2025

作者： Sumitra, B. Selvin Ebenezer, S. Vallathan, G. Sundaramurthy, B. dorsela, Venkata rami reddy Department of ECE Geethanjali College of Engineering & Technology Hyderabad India Department of CSE Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Department of ECE Geethanjali College of Engineering and Technology Hyderabad India Salem India

ISBN: (纸本)9798331527549

Traditional image steganography methods embed secret data into cover images but often face detection by steganalysis tools due to detectable pixel modifications, which increase the risk of data leakage. These techniques also typically degrade image quality and offer limited capacity. To overcome these challenges, a novel approach for medical imaging is proposed, integrating Generative Adversarial Networks (GANs), PatchGAN, Adaptive LSB steganography, and a dual attention mechanism. PatchGAN improves fine-grained texture details, while Adaptive LSB securely embeds sensitive data within the images. The dual attention mechanism highlights critical regions, enhancing both image clarity and diagnostic accuracy. This method improves image quality and security, benefiting clinical decision-making and patient outcomes. The system is evaluated against traditional methods like GAN and IdGAN using metrics such as embedding capacity, classification accuracy (stego, cover, global), and discriminator loss. results demonstrate that the proposed system outperforms existing techniques, offering significant improvements in both performance and security for medical imaging applications. © 2025 IEEE.

关键词： Generative adversarial networks

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rEAL-TIME GLUCOSE MONITOrING SYSTEM ANd dIETArY rECOMMENdATIONS FOr dIABETES MELLITUS USING FOG COMPUTING

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Telecommunications and radio Engineering (English translation of Elektrosvyaz and radiotekhnika) 2025年第5期84卷 55-67页

作者： Sathish, N. Elangovan, d. Nagalakshmi, r. Suresh, G. Chitra, devi d. Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Information Technology Saveetha Engineering College Chennai India Department of Computer Science and Engineering SRM Institute of Science and Technology Ramapuram Chennai India Department of Artificial Intelligence and Data Science Kings Engineering College Sriperumbudur India Department of Computer Science And Engineering S.A. Engineering College Chennai India

This systematic review gave special attention to diabetes and the advancements in food and nutrition needed to prevent or manage diabetes in all its forms. There are two main forms of diabetes mellitus: Type 1 (T1d) and Type 2 (T2d). The loss of beta cells brought on by an autoimmune reaction causes the pancreas to be unable to produce enough insulin, which leads to Type 1 diabetes. A deficiency of insulin could arise as the illness worsens. The most frequent cause is a combination of excessive body weight and inadequate exercise. Currently, 90–95% of patients have Type 2 diabetes mellitus (T2dM). Age-specific normal blood sugar ranges exist and knowing them is crucial for determining a target blood sugar level that is both healthy and appropriate. The main takeaway is that diet regimens ought to be tailored to the patient’s requirements and should account for their capacity for change. Carbohydrates are the nutrients that have the biggest impact on the rise in blood glucose. In this paper, we have proposed a novel method for glucose monitoring and diet recommendations for diabetic patients using fog computing. A paradigm known as fog computing makes use of the benefits that come from using both cloud and edge devices to support modern computing systems by offering high-quality services, cutting latency, facilitating mobility, supporting multi-tenancy, and many other features. © 2025 by Begell House, Inc.

关键词： Fog computing

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data-driven Healthcare:The role of Computational Methods in Medical Innovation

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 1-48页

作者： Hariharasakthisudhan Ponnarengan Sivakumar rajendran Vikas Khalkar Gunapriya devarajan Logesh Kamaraj Department of Mechanical Engineering Dr.Mahalingam College of Engineering and TechnologyPollachiCoimbatoreTamil Nadu642003India Department of Mechanical Engineering JKKN College of Engineering and TechnologyKumarapalayamNamakkalTamil Nadu637209India Department of Mechanical Engineering Gharda Institute of TechnologyLavelMaharashtra415708India Department of Electrical and Electronics Engineering Sri Eshwar College of EngineeringCoimbatoreTamilnadu641202India Department of Mechanical Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India

The purpose of this review is to explore the intersection of computational engineering and biomedical science,highlighting the transformative potential this convergence holds for innovation in healthcare and medical *** review covers key topics such as computational modelling,bioinformatics,machine learning in medical diagnostics,and the integration of wearable technology for real-time health *** findings indicate that computational models have significantly enhanced the understanding of complex biological systems,while machine learning algorithms have improved the accuracy of disease prediction and *** synergy between bioinformatics and computational techniques has led to breakthroughs in personalized medicine,enabling more precise treatment ***,the integration of wearable devices with advanced computational methods has opened new avenues for continuous health monitoring and early disease *** review emphasizes the need for interdisciplinary collaboration to further advance this *** research should focus on developing more robust and scalable computational models,enhancing data integration techniques,and addressing ethical considerations related to data privacy and *** fostering innovation at the intersection of these disciplines,the potential to revolutionize healthcare delivery and outcomes becomes increasingly attainable.

关键词： Computational models biomedical engineering bioinformatics machine learning wearable technology

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CO2 reductions Utilising Self-Stressing Steel Fibre reinforced Concrete 1st

CO2 Reductions Utilising Self-Stressing Steel Fibre Reinforc...

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1st International Conference on Net-Zero Built Environment: Innovations in Materials, Structures, and Management Practices, NTZr 2024

作者： Suta, Martins Gaile, Liga Cepuritis, rolands Primekss SIA R&D Department Riga Latvia Institute of Structural Engineering Riga Technical University Riga Latvia Department of Structural Engineering Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9783031696251

A novel system utilising steel-fibre reinforced concrete (SFrSSC) has been developed and implemented in projects in the recent years for structures such as ground-based slabs and ground-level elevated slabs on piles among others. Being that the system is chemically prestressing the concrete, this compressive self-stress can be used to significantly decrease the thickness of the structures while maintaining their load bearing capacity yet decreasing the materials used and lowering the emissions caused by making the said structures. recently, a comparative full-scale testing has been conducted to compare the impact of the chemical self-stress on the load bearing capacity of a supposed ground-level slab on piles when looked in a comparison with a more traditional steel fibre reinforced concrete slab in a practically identical situation. This document shall shed light on the possibilities of reducing the CO2 emissions via usage of SFrSSC when compared to other existing more traditional construction systems. The full-scale tests revealed that the SFrSSC slab could bear approximately 30% higher loading while maintaining 30% lower deflections and exhibiting lower number of cracking. This, in turn, allows for making SFrSSC slabs significantly thinner, thus reducing the emissions caused by the extraction of raw materials, transportation of the said materials, production of the concrete and production of the structure itself. © The Author(s) 2025.

关键词： Piles

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dense wavelength division multiplexing scheme based on effective distributed inline light fiber raman amplifier configuration

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Journal of Optical Communications 2025年第2期46卷 225-236页

作者： ramkumar, Govindaraj devi, Perumal Kalpana Shankar, Vinodhini Pandarinathan, Sivaraman Eshwar, rajinikanth Sukumar, Binu Omran, Omar Karem Saveetha University Tamil Nadu Chennai India Department of ECE VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai India Department of ECE Sree Sastha Institute of Engineering and Technology Tamil Nadu Chennai India Department of EEE Bannari Amman Institute of Technology Sathyamamgalam Tamilnadu Erode India Department of ECE Sathyabama Institute of Science and Technology Tamilnadu Chennai India Department of Civil Engineering R.M.K. Engineering College Tamil Nadu Chennai India Naser Institute of Engineering Portsaid Egypt

This paper demonstrated the dense wavelength division multiplexing scheme based on effective distributed inline light fiber raman amplifier configuration. Various forward/backward and bidirectional pumping power configurations are studied versus fiber reach. Output light signal power is demonstrated against fiber reach without raman amplification technique. Output light signal power in the forward raman amplification scheme is clarified with pumping power of both 500 mW and 700 mW in various fiber channel configurations. As well as output light signal power in the backward raman amplification scheme with pumping power of both 500 mW and 700 mW in various fiber channel configurations. Amplification raman gain parameter coefficient is demonstrated with various values of pumping power pump based on various fiber channel configurations. Backward amplification net parameter gain is studied for different single mode/true wave/freelight fibers channel configuration at different both pumping power values and fiber reach. As well as the forward amplification net parameter gain is clarified for different single mode/true wave/freelight fibers channel configuration at different both pumping power values and fiber reach. © 2024 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Fibers

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Music Genre Classification Using Entropy Weighted - Gated recurrent Unit Model 3

Music Genre Classification Using Entropy Weighted - Gated Re...

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3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Indiravathi, G. rajesh, d. Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Avadi Chennai India

ISBN: (纸本)9798331508456

Music plays a vital role in human life, serving as a universal medium that connects people across the world. The process of classifying music into genre labels by analyzing its sounds, rhythms, and lyrics is known as music genre classification. However, existing classification approaches often fail to accurately classify music genres due to the presence of similar features in certain music signals, which makes it difficult for the model to differentiate between them. To overcome this issue, an Entropy-Weighted Gated recurrent Unit (EW-GrU) model has been proposed for efficient music genre classification, utilizing two benchmark datasets: GTZAN and ISMIr-2004. Initially, the audio signals are acquired and preprocessed using Fast Fourier Transform (FFT), and the audio length is reduced to 30 seconds (in mp3 format). The next step involves extracting features using the Mel-Cepstrum Coefficient (MCC) technique to differentiate and classify various music genres. Finally, using the extracted features, the proposed EW-GrU model effectively classifies music genres. Experimental results show that the EW-GrU method achieves accuracies of 99.36% and 99.27%, respectively on the GTZAN and ISMIr-2004 datasets, outperforming existing approaches like Convolutional Neural Networks (CNN). © 2025 IEEE.

关键词： Fast Fourier transforms

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Unveiling the roles of initial phase constituents and phase metastability in hydrogen embrittlement of TrIP-assisted VCrCoFeNi medium-entropy alloys

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材料科学技术（英文版） 2025年第4期207卷 160-176页

作者： Sang Yoon Song dae Cheol Yang Han-Jin Kim Sang-In Lee Hyeon-Seok do Byeong-Joo Lee Alireza Zargaran Seok Su Sohn Department of Materials Science and Engineering Korea University 02841 SeoulRepublic of Korea Green Energy Materials Research Team Hyundai Motor Company Uiwang R&D Center 16082 UiwangRepublic of Korea Institue of Advanced Technology Development Hyundai Motor Group 13529 SeongnamRepublic of Korea Department of Materials Science and Engineering Pohang University of Science and Technology 37673 PohangRepublic of Korea Graduate Institute of Ferrous & Energy Materials Technology Pohang University of Science and Technology37673 PohangRepublic of Korea

Medium-entropy alloys(MEAs)that exhibit transformation-induced plasticity(TrIP)from face-centered cubic(FCC)to body-centered cubic(BCC)are considered promising for liquid hydrogen environments due to their remarkable cryogenic ***,studies on hydrogen embrittlement(HE)in BCC-TrIP MEAs have not been conducted,although the TrIP effect and consequent BCC martensite usually deteri-orate HE *** these alloys,initial as-quenched martensite alters hydrogen diffusion and trap behavior,and deformation-induced martensitic transformation(dIMT)provides preferred crack propaga-tion sites,which critically affects HE ***,this study aims to investigate the HE behav-ior of BCC-TrIP MEAs by designing four V10Cr10Co30Fe50-xNix(x=0,1,2,and 3 at％)MEAs,adjusting both the initial phase constituent and phase metastability.A decreased Ni content leads to a reduced fraction and mechanical stability of FCC,which in turn increases HE susceptibility,as determined through electro-chemical hydrogen pre-charging and slow-strain rate tests The permeation test and thermal desorption analysis reveal that the hydrogen diffusivity and content are affected by initial BCC fraction,interconnec-tivity of BCC,and refined *** these initial phase constituents differ between the alloys with FCC-and BCC-dominant initial phase,microstructural factors affecting HE are unveiled discretely among these al-loy groups by correlation of hydrogen-induced crack behavior with hydrogen diffusion and trap *** alloys with an FCC-dominant initial phase,the initial BCC fraction and dIMT initiation rate emerge as critical factors,rather than the extent of *** BCC-dominant alloys,the primary contributor is an increase in the initial BCC fraction,rather than the extent or rate of *** unraveled roles of microstructural factors provide insights into designing HE-resistant BCC-TrIP MEAs.

关键词： Medium-entropy alloys(MEAs) Transformation-induced plasticity(TrIP) Hydrogen embrittlement Hydrogen-induced crack Hydrogen diffusion and trapping

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PL4S: design and Evaluation of Pluggable L4S to Enhance the real-Time Network Performance 22

PL4S: Design and Evaluation of Pluggable L4S to Enhance the ...

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22nd IEEE Consumer Communications and Networking Conference, CCNC 2025

作者： Kanagarathinam, Madhan raj Kovvuri, Jayendra reddy Irlanki, Sandeep Vakil, Ankit Choi, Jong-Mu Lim, Junhak Sivalingam, Krishna M. Samsung Electronics Connectivity R&D Mx Department India Indian Institute of Technology Madras Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798331508050

The escalating demand for real-time applications such as cloud gaming and virtual reality presents unique challenges in managing network latency and throughput simultaneously. Traditional congestion control mechanisms, which primarily rely on packet loss as a signal, are inadequate for modern applications requiring high throughput and ultra-low latency. This paper introduces a pluggable implementation of the Low Latency, Low Loss, Scalable throughput (L4S) architecture using eBPF (extended Berkeley Packet Filter) programs to enhance the Explicit Congestion Notification (ECN) mechanism. We specifically focus on replicating the L4S client functionality at the receiver end, which is crucial for the Accurate ECN (AccECN) protocol. By leveraging sched-cls eBPF programs, our design captures and manipulates packet flows at both ingress and egress points, enabling precise congestion feedback and efficient protocol negotiation directly from the data plane. Our approach ensures compatibility with existing network infrastructures and extends L4S benefits to devices operating on legacy kernels. The paper evaluates the implications of this design on network performance, particularly its ability to reduce latency and handle high throughput demands seamlessly. Through this innovation, we aim to accelerate the adoption of L4S across varied network environments, enhancing the quality of experience for latency-sensitive applications without extensive system overhauls. © 2025 IEEE.

关键词： AccECN eBPF L4S QoS (Quality of Service) Scalable Congestion Control

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design and Optimization of Leaf-Inspired Antenna for Enhanced Sub-6 GHz 5G Performance 3

Design and Optimization of Leaf-Inspired Antenna for Enhance...

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3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： rajeswari, P. Gobinath, A. Anandan, M. Vishal Jonathan, A. Sathish Kumar, M. Vishhnu Priyan, r. Velammal College of Engineering and Technology Department of Ece Madurai India Velammal College of Engineering and Technology Department of It Madurai India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Ece Chennai India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508456

The rapid evolution of 5G technology demands innovative antenna solutions to meet high-frequency, wideband requirements. This paper proposes two nature-inspired, leaf-shaped antenna designs optimized for sub-6 GHz 5G applications. Utilizing biomimetic principles, the designs achieve compactness, dual-band functionality, and high radiation efficiency. The first design demonstrates a single resonant frequency at 4 GHz, with a return loss of -61.43 dB, a near-ideal VSWr of 1.0017, and narrowband performance. The second design supports dual-band operation with resonances at 2.8 GHz and 5.2 GHz, achieving return losses of -30 dB and -25 dB, respectively, and VSWr values of 1.1 and 1.5. Performance evaluations conducted using CST Studio Suite confirm broad bandwidth (2.5 GHz to 5.5 GHz) and enhanced radiation efficiency. These attributes make the proposed designs ideal for next-generation wireless communication systems, with the second design offering superior adaptability for diverse 5G applications. © 2025 IEEE.

关键词： Integrated circuit design

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