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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： ravula, deepak VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Department of ECE Chennai India

ISBN: (纸本)9798350370249

Crafted under the umbrella of the dArPA Cyber Assured Systems Engineering (CASE) initiative, BriefCASE emerges as an open-source model-centric engineering environment designed to shape cyber-resilient system blueprints. Its arsenal of instruments generates meticulous substantiation upheld by the framework. This evidence compilation serves as the foundation for substantiating assurance claims. This paper outlines a hierarchical pattern taxonomy tailored to attain cyberresilience assurance, seamlessly instantiated by briefCASE throughout system development. The amassed evidence corpus within the framework undergoes automated evaluation within the ensuing assurance discourse, confirming the fulfillment of cyberresilience goals. © 2024 IEEE.

关键词： Open source software

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Speaker diarization in Multispeaker and Multilingual Scenarios 15

Speaker Diarization in Multispeaker and Multilingual Scenari...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： rudrresh, P. raj, P.V. Tharunn Hariharan, K. Sivaprasath, S. Shibi, C. Sherin Jeyasudha, J. Vikram, C.M. Agarwal, Gopal Kumar Gohil, raj Prakash SRM Institute of Science and Technology Department of Computational Intelligence Chennai India Samsung R&D Institute Bangalore India

ISBN: (纸本)9798350370249

Speaker diarization is a process in automatic speech processing that involves segmenting and labeling an audio recording based on distinct speakers. The goal is to identify and differentiate speakers within the audio. A comprehensive approach to multilingual speaker diarization, crucial for understanding and processing speech across diverse languages, was implemented. The Pyannote library has been utilized to develop a custom speaker diarization model and finetune it for the in-house multi lingual conversation dataset. Using PyanNet segmentation model, segmentation of audio recordings was done to identify speech regions. Speaker embeddings are extracted using the ECAPA-TdNN architecture, pretrained on Vox-Celeb data and fine-tuned on a unique multilingual dataset featuring six languages and 100 audio samples, split into training, development and testing sets for rigorous evaluation. Agglomerative clustering was employed and compared the system's output with manually generated rich Transcription Time Marked (rTTM) with ground truth speaker segments and labels, alongside ECAPA-TdNN, X-vector MFCC and X-Vector SincNet embedding models. This study advances the understanding of multilingual speaker diarization, offering insights into its potential applications in transcription, voice biometrics, and multilingual voice assistants. © 2024 IEEE.

关键词： Audio recordings

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INFLUENCE OF NUCLEAr LEVEL dENSITY ANd GAMMA STrENGTH FUNCTION ON NEUTrON CAPTUrE rEACTION rATE

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2025年第1期2025卷 155-170页

作者： Nedelcu, Cosmina Viorela Xu, Yi Balabanski, dimiter L. Bucharest-Magurele077125 Romania Doctoral School in Engineering and Applications of Lasers and Accelerators National University of Science R&D Technology POLITEHNICA Bucharest Bucharest060042 Romania

Neutron-induced reactions are an essential part of the nucleosynthesis process. In the present study, neutron capture cross-sections and reaction rates are systematically studied considering the nuclear structure obtained from microscopic and phenomenological models. In particular, the nuclear level density (NLd) derived from the microscopic Hartree-Fock-Bogoliuboiv plus combinatorial method and the phenomenological Constant Temperature model, and the γ-ray strength function (γSF) determined by the semimicroscopic Gogny d1M interaction plus Quasi random Phase Approximation and the global empirical Standard Modified Lorentzian are taken into account in the calculation, and the results are compared to the available experimental Maxwellian-averaged cross-sections. It is demonstrated that the experimental data are well reproduced by the nuclear structure models considered here, and the predictive power of these nuclear ingredients is very close. Furthermore, a sensitivity study of neutron capture reaction to the available nuclear ingredients for unstable nuclei, e.g. for89 Zr, is performed, which indicates that the NLd and γSF can considerably influence the crosssection and reaction rate. Therefore, we investigate the applicability of the NLd and γSF obtained from the analysis of stable nuclei to the calculations of all eight unstable nuclei of which the NLds are experimentally determined so far. A good agreement of the astrophysical reaction rates predicted by the aforementioned nuclear structure ingredients is found. © 2025, Politechnica University of Bucharest. All rights reserved.

关键词： Gamma rays

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Pressure exertion and heat dissipation analysis on uncoated and ceramic (Al2O3, TiO2 and ZrO2) coated braking pads

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Materials Today: Proceedings 2023年 74卷 774-787页

作者： Sunil kumar, K. Bishnoi, deepika Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Chennai 600062 India School of Energy Science and Engineering Indian Institute of Technology Guwahati 781039 India

This paper focuses on heat dissipation analysis of brake pads uncoated and coated with a layer of Al2O3,TiO2 and ZrO2 with in the time intervals when a pressure of 0.5 subjected to 35οC (Load case 1) and 1 mpa subjected to 55οC (Load case II). The plasma arc coating process was done for brake pads to estimate the analysis within the atmospheric temperature. The coating is done in the range of 300 µm to perform the analysis;In addition to that salt spraying technique is employeed to estimate the corrosion resistance for these materials. The coated braking pads are dipped in the sodium based solution for 2 h with the presence of 6 % as chloride agents to identify the possibilities of corrosion. The model was drawn using CATIA, and heat dissipation analysis was performed on the model by ansys workbench by multiphysics software. The parameters such as Total deformation, directional deformation,max shear strain and max shear stress also calculated in ansys multiphysics. However it was noted that Al2O3 coatings posess better performance as compared to uncoated materials. The other parameters investigated in this analysis were heat dissipation, total heat flux, total directional heat flux and error analysis. From this analysis it was observed that the pressure exertion for load case I, it was observed that the maximum heat dissipation rate for Al2O3 coated braking systems was found to 22οC, maximum heat dissipation 2.5 w/m2, directional heat flux 2.1w/m2 and 3 % error. which is as compared to uncoated materials, For load case II, it was observed that the maximum heat dissipation rate for Al2O3 coated braking systems was found to 40οC, total heat flux was found to be 2.5 w/m2, directional heat flux of 4.9 w/m2.;with error of 2.2 % compared to uncoated materials. For all the load cases, Al2O3 coated braking materials possses better performance as compared to uncoated materials. Hence it was suggested to use Al2O3 coated materials to improve the brake pad efficiency and life

关键词： Titanium dioxide

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design and development of Efficient Feeding Network Structure for Patch Antenna Array Modules in UAV Communication Applications

Design and Development of Efficient Feeding Network Structur...

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International Conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems, VSPICE-2022

作者： Bharati, Chandravijay Prasanna, r. Balasubramanian, E. Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai India

ISBN: (纸本)9789819944439

This article focused on the development of microstrip patch antenna with linear and planar array distribution structures. Ansoft HFSS electromagnetic simulation software was used to analyze the radiation and reflection parameter of the designed element. Initially, single element antenna was realized and further 1 × 2, 2 × 2, and 1 × 4 array structures were analyzed with a due consideration of two different substrate materials such as duroid-5880 and Fr-4. 1 × 4 array antenna with duroid-5880 offers highest gain of 14.12 dB. To validate the design concept, 1 × 2 array antenna was fabricated. S11 parameter was measured using a vector network analyzer and it has downward frequency shift by 54.5 MHz as compared to simulated results. The radiation characteristic of the antenna was measured on anechoic chamber, and the E/H plot reveals that antenna is unidirectional. Measured gain is enhanced by 7.82 dB as compared to simulated results. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Improving lipid production by rhodotorula glutinis for renewable fuel production based on machine learning

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Frontiers of Chemical science and Engineering 2024年第5期18卷 23-35页

作者： Lihe Zhang Changwei Zhang Xi Zhao Changliu He Xu Zhang National Energy R&D Center for Biorefinery Beijing University of Chemical TechnologyBeijing 100029China Collage of Life Science and Technology Beijing University of Chemical TechnologyBeijing 100029China Beijing Key Laboratory of Bioprocess Beijing University of Chemical TechnologyBeijing 10029China

Microbial lipid fermentation encompasses intricate complex cell growth processes and heavily relies on expert experience for optimal *** modeling of the fermentation process assists researchers in making intelligent decisions,employing logical reasoning and strategic planning to optimize lipid *** this study,the effects of medium components and concen-trations on lipid fermentation were investigated,*** then,leveraging the collated data,a variety of machine learning algorithms were used to model and optimize the lipid fermentation *** models,based on artificial neural networks and support vector machines,achieved r?values all higher than 0.93,ensuring accurate predictions of the fermentation *** linear regression was used to evaluate the respective target parameter,which were affected by the medium components of lipid ***,single and multi-objective optimiza-tion were conducted for lipid fermentation using the genetic *** results demonstrated the maximum biomass of 50.3 g·L^(-1) and maximum lipid concentration of 14.1 g:L^(-1) with the error between the experimental and predicted values less than 5%.The results of the multi-objective optimization reveal the synergistic and competitive relationship between biomass,lipid concentration,and conversion rate,which lay a basis for in-depth optimization and amplification.

关键词： microbial lipid machine learning artificial neural network support vector machine genetic algorithm

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Image Caption Generation using CNN and Audio Conversion 2

Image Caption Generation using CNN and Audio Conversion

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2nd International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024

作者： Priya, K. Babu, r.Vijay reddy, M.Muralidhar Mohan reddy, T.H. Maanesh, M. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Artificial Intelligence & Data Science Chennai India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science & Engineering Chennai India Arizona state university Department of Data Science Tempe United States

ISBN: (纸本)9798350368413

This research focuses on developing a system that can generate descriptive captions for images and convert them into audio output. The system employs a Convolutional Neural Network (CNN) to extract visual features from images, which are then fed into a Gated recurrent Unit (GrU) to generate textual descriptions. The generated captions are subsequently converted into audio using text-to-speech techniques. By training the model on a large dataset of image-caption pairs, the system learns to associate visual information with textual descriptions, enabling accurate and coherent caption generation. This research contributes to the advancement of image understanding and generation, with potential applications in various fields such as image search, accessibility, and content creation. © 2024 IEEE.

关键词： Convolutional neural networks

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Boosting ultra-wide temperature dielectric stability of multilayer ceramic capacitor through tailoring the combination types of polar nanoregions

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Journal of Materiomics 2024年第4期10卷 751-761页

作者： Jiacheng Liu Kaibiao Xi Beibei Song Huarong Cheng Xiaole Yu Mupeng Zheng Mankang Zhu Yudong Hou College of Materias Science and Engineering Key Laborutory of Advanced Functional Materials Education Ministry of China Beijing University of TechnologyBeijing100124China Materials R&D Department Beijing Yuanliu Hongyuan Eletronic Technology CompanyLtdBeijing102600China

With the rapid development of space exploration and new energy vehicles,it is urgent to build ultra-wide temperature multilayer ceramic capacitors(UWT MLCCs)to match electronic circuits that can withstand harsh environmental *** ferroelectrics with diffuse phase transition feature are potential dielectrics for the construction of UWT ***,how to ensure high dielectric constant together with low dielectric loss in the wide temperature region is still a big ***,the above difficulties are addressed by tailoring the combination types of polar nanoregions(PNrs)in the(1-x)(0.8Na_(0.5)Bi_(0.5)TiO_(3)-0.2K_(0.5)Bi_(0.5)TiO_(3))-xNaTaO3(NBT-KBT-xNT)*** with PNrS types of P4bm+r3c and P4bm+Pbnm,the combination type of P4bm+Pbnm+r3c PNrs in NBT-KBT-0.31NT is the most beneficial to obtain comprehensive excellent dielectric performance because it can balance the relationship between high dielectric constant and temperature stability over a wide temperature ***,by optimizing the laminating pressure and co-firing temperature to realize a tight interfacial structure between the dielectric layer and the Pt inner electrode,a record-high dielectric constant(er=(907%±15%))together with low dielectric loss(tan δ≤0.025)is achieved over an ultra-wide range from-61℃ to 306℃ for NBT-KBT-0.31 NT MLCC,demonstrating that tailoring the combination types of PNrs is a powerful strategy in designing UWT MLCC dielectrics.

关键词： Lead-free dielectrics Ultra-wide temperature Multilayer ceramic capacitor Polar nanoregion

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Performance Analysis of MAC Protocols for Node density in Wireless Sensor Networks 8

Performance Analysis of MAC Protocols for Node Density in Wi...

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8th IEEE International Conference on Computing, Communication, Control and Automation, ICCUBEA 2024

作者： Magar, Hanmant d. Srinivasan, r. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science & Engineering Avadi Chennai India

ISBN: (纸本)9798350391770

A wireless sensor network is a group of various forms of nodes that are arranged at random around the sensor area. In WSNs, certain nodes operate as source nodes, monitoring factors from the nearby area, while one node acts as a sink node, collecting information from source nodes. Clustering, sectoring, and sleep-active mechanism are just some of the different methods used in WSNs to provide reliable transmission of information between one point to another. The efficiency of wireless sensor networks is determined by their quality of services, or QoS, which includes factors like packet delivery ratio, energy, throughput, delay etc. Transferring information from one end to the other requires the use of mac protocols and routing. routing protocols are used to determine the shortest path between the sending and receiving nodes, while the MAC protocol ensures reliable data transfer via communication channels between nodes. In this paper, we analyzed the efficacy of multiple MAC protocols with various QoS for different node densities. This will assist inventors in the future with analysis. The CSMA protocol performs effectively for all network QoS standards. © 2024 IEEE.

关键词： Sensor nodes

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A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization

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IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1150-1167页

作者： Liang Zhang Qi Kang Qi deng Luyuan Xu Qidi Wu the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the Jiangsu Province Support Software Engineering R&D Center for Modern Information Technology Application in Enterprise Suzhou 215104China the Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 200092China

In solving many-objective optimization problems(MaO Ps),existing nondominated sorting-based multi-objective evolutionary algorithms suffer from the fast loss of selection *** candidate solutions become nondominated during the evolutionary process,thus leading to the failure of producing offspring toward Pareto-optimal front with *** we find a more effective way to select nondominated solutions and resolve this issue?To answer this critical question,this work proposes to evolve solutions through line complex rather than solution points in Euclidean ***,Plücker coordinates are used to project solution points to line complex composed of position vectors and momentum *** position vectors of the solution points,momentum vectors are used to extend the comparability of nondominated solutions and enhance selection ***,a new distance function designed for high-dimensional space is proposed to replace Euclidean distance as a more effective distancebased *** on them,a novel many-objective evolutionary algorithm(MaOEA)is proposed by integrating a line complex-based environmental selection strategy into the NSGAⅢ*** proposed algorithm is compared with the state of the art on widely used benchmark problems with up to 15 *** results demonstrate its superior competitiveness in solving MaOPs.

关键词： Environmental selection line complex many-objective optimization problems(MaOPs) Plücker coordinate

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