检索结果-内蒙古大学图书馆

Preparation of Zinc Oxide nanoparticle (ZnONPs)-Chitosan nanoparticle (CSNPs)-Alginate Scaffold for biological applications

引用

Nanotechnology for Environmental Engineering 2025年第1期10卷 1-8页

作者： Nivetha, dhanasekar Chandramohan, Subburaman Department of Biotechnology Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology Avadi Chennai6000062 India

In the present study, an aqueous extract of the plant Azadirachta indica was used to synthesize zinc oxide nanoparticles (ZnONPs) and chitosan nanoparticles (CSNPs). Both nanoparticles were subjected to Fourier infrared (FTIr) spectroscopy, X-ray diffraction (Xrd), Scanning electron microscopy (SEM) with Energy-dispersive X-ray spectrometer (EdX), dynamic light scattering (dLS) and thermal gravimetric analysis (TGA) for characterization. FTIr analysis reveals distinct peaks corresponding to different functional groups in each material. The Xrd spectra confirms the semi-crystalline structure of CSNPs and the amorphous character of ZnONPs, while SEM analysis shows rod shaped morphology for both nanoparticles. dLS analysis provides insights into the size distributions of synthesized ZnONPs and CSNPs. Evaluation of toxicity demonstrates concentration-dependent effects on zebrafish embryos, highlighting the importance of nanoparticle concentrations in biological applications. Antioxidant activity assays reveal potent scavenging properties of ZnONPs and CSNPs, with the scaffold showing slightly lower activity. Mechanical testing demonstrates the robustness of the Alginate-ZnONPs-CSNPs scaffold, and TGA analysis elucidates its thermal behavior. The prepared Scaffold should be studied in animal models in the near future for various biomedical applications. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.

关键词： Fourier transform infrared spectroscopy

来源：评论

学校读者我要写书评

暂无评论

Implementation of waste plastic as a sustainable partial replacement of fine aggregate

引用

Interactions 2024年第1期245卷 1-7页

作者： Jessie, J. Anita Gaayathri, K.K. Yarramsetty, Jetendra Ashok, Bagde Aman Civil Engineering Department Vel Tech Rangarajan Dr. Sagunthala R & ampD Institute of Science and Technology Chennai Avadi India

Plastic waste is the most environmentally damaging type of garbage. Since plastic cannot decompose naturally, it must be recycled or reused to prevent further harm. The study aims to examine the behavior and certain physical properties of concrete made from recycled plastic *** study investigates the probability and efficiency of utilizing disposed plastic as a fractional replacement of fine aggregate in construction materials. research focuses on understanding the concrete mechanical properties, when merging waste plastic particles in lieu of a portion of traditional fine aggregates. Various types of waste plastic, including plastic bottles, bags, and packaging materials, are analyzed for their suitability as a replacement material. Additionally, various treatment methods, such as shredding, melting, and chemical modification, are considered to enhance the compatibility of plastic with the base materials. Compressive strength was found to investigate the impact of disposed plastic on the concrete mechanical characteristics. A comparative study between conventional concrete and 20% replacement of shredded plastic in fine aggregate was done. 20% replacement mix showed almost equal strength to the conventional concrete. The strength of 20% replacement was found to be 41 MPa, whereas the 30% and 40% was observed to be 38 MPa and 35 MPa respectively. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Compressive strength

来源：评论

学校读者我要写书评

暂无评论

Efficient Network resource Management for Improving radio Access Through Machine Learning Approach in 5G Networks

引用

Journal of The Institution of Engineers (India): Series B 2025年第1期106卷 207-215页

作者： Coumar, S. Oudaya Surender, r. Department of ECE Vel Tech Rangarajan Dr. Sagunthala R &D Institute of Science and Technology Tamil Nadu Avadi Chennai600062 India Department of ECE Sathyabama Institute of Science and Technology Chennai India

Network resource management is one of the vital factors in recent dynamic technological computing paradigm as there is a significant degradtion in resource utilization. Network resources include networking, management systems and management support organizations. The major roles are to manage tasks, schedule resources and manage networks. It needs new challenges and requirements, making it more difficult to accomplish the intended objectives. Further, it involves complexity for mobile operators to devise solutions that are flexible, dynamic, cost-effective and intelligent with conventional wireless network. These issues can be addressed by emerging services of 5G (5th Generation) technology incorporating machine learning technique to enhance the performance within a real-time *** work in this paper highlights the overview of the requirements, key technologies, and challenges associated with 5G cellular networks. Further machine learning techniques like long short term memory (LSTM), deep belief network (dBN), hybrid genetic algorithm (HGA) are incorporated in 5G networks and addressing 5G’s challenges using machine learning. The proposed work employing machine learning algorithms will show that the performances of resource management is superior than existing methods. © The Institution of Engineers (India) 2024.

关键词： Wireless networks

来源：评论

学校读者我要写书评

暂无评论

decision Making By Neutrosophic Over Soft Topological Space

引用

Neutrosophic Sets and Systems 2024年 66卷 76-94页

作者： devi, r.Narmada Parthiban, Yamini Department of Mathematics Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Tamil Nadu Chennai India

The empirical correlation system serves as a crucial tool for unveiling the linear interconnections between two variables. Its significance lies in providing a prominent approach to depict a straightforward relationship without explicitly indicating a causal link between the sets involved. In the current research, an innovative concept of correlations is introduced specifically for Neutrosophic Over Soft Sets (No s -sets). This novel framework involves a meticulous examination of basic definitions and operations associated with Neutrosophic Over Soft Sets. Furthermore, the study extends to the introduction of a groundbreaking concept: a topological space integrated with Neutrosophic Over Soft Sets (No s -sets). This addition aims to broaden the scope of understanding and application in mathematical *** research does not merely establish theoretical foundations;it also explores various properties and theorems related to the introduced concepts. This is complemented by a series of numerical examples designed to provide clarity and facilitate a comprehensive grasp of the material. To demonstrate the practical application of these concepts, the research utilizes the correlation framework to present a numerical illustration. Specifically, it is applied to determine the topperforming student at GFC School for the academic year 2022-2023, showcasing the real-world relevance and applicability of the proposed methodologies. © (2024) All rights reserved.

关键词： decision making

来源：评论

学校读者我要写书评

暂无评论

Exploring Neutrosophic Over Supra Exterior Modal Topological Structure: Theory and Application in Healthcare decision-Making

引用

Neutrosophic Sets and Systems 2024年 72卷 272-285页

作者： devi, r. Narmada Parthiban, Yamini Department of Mathematics Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Tamil Nadu Chennai India

Neutrosophic environments have gained significant relevance across diverse disciplines. Neutrosophic Over Supra Exterior Modal Topological Structure is introduced, demonstrating the generation of two distinct structures through traditional Neutrosophic Over supra topological operations, denoted as ⊞ (closure) and ⊡ (interior), along with novel Neutrosophic Over Supra Exterior Modal Operations, expressed as ⊗ (modal closure) and o (modal interior). This exploration delves into the essential properties and characteristics of these structures, illuminating their behavior and implications. To illustrate the practical relevance, a numerical example is presented, demonstrating the identification of disease types using a score function. The study conclusively shows that the Neutrosophic Over Supra Exterior Modal Topological Structure effectively classifies diseases such as tuberculosis (bacterial), malaria (parasitic), swine flu (viral), and ringworm (fungal). This dual approach ensures a holistic understanding of the topic, appealing to both theoretical and practitioners seeking practical solutions in the neutrosophic over environment. © 2024, University of New Mexico. All rights reserved.

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

deep Cryogenic Temperature CMOS Circuit and System design for Quantum Computing Applications

EAI Endorsed Transactions on Energy Web

引用

EAI Endorsed Transactions on Energy Web 2024年 11卷 1-8页

作者： rubia, Jency J. Shibi, Sherin C. rosi, A. Lincy, Babitha r. Nithila, Ezhil E. Vel Tech Rangarajan Sagunthala R&D Institute of Science and Technology Avadi India SRM Institute of Science and Technology Tamil Nadu Kattankulathur India Sri Eshwar College of Engineering Coimbatore India

Quantum computing is a fascinating and rapidly evolving field of technology that promises to revolutionize many areas of science, engineering, and society. The fundamental unit of quantum computing is the quantum bit that can exist in two or more states concurrently, as opposed to a classical bit that can only be either 0 or 1. Any subatomic element, including atoms, electrons, and photons, can be used to implement qubits. The chosen sub-atomic elements should have quantum mechanical properties. Most commonly, photons have been used to implement qubits. Qubits can be manipulated and read by applying external fields or pulses, such as lasers, magnets, or microwaves. Quantum computers are currently suffering from various complications such as size, operating temperature, coherence problems, entanglement, etc. The realization of quantum computing, a novel paradigm that uses quantum mechanical phenomena to do computations that are not possible with classical computers, is made possible, most crucially, by the need for a quantum processor and a quantum SOC. As a result, Cryo-CMOS technology can make it possible to integrate a Quantum system on a chip. Cryo-CMOS devices are electronic circuits that operate at cryogenic temperatures, usually below 77 K (−196 °C). Copyright © 2024 Jency rubia J et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

关键词： Integrated circuit design

来源：评论

学校读者我要写书评

暂无评论

Siamese capsule gorilla troops network-based multimodal sentiment analysis for car reviews

引用

Soft Computing 2024年第13-14期28卷 7627-7647页

作者： Kothuri, Sri raman rajaLakshmi, N.r. Department of Computer Science and Engineering School of Computing Vel Tech Rangarajan Dr. Sagunthala R & ampD Institute of Science and Technology Avadi Tamil Nadu Chennai600062 India

Sentiment analysis of online car reviews is a significant process in natural language processing. Numerous car enthusiasts and influencers create video reviews of automobiles on platforms for example YouTube. In realistic settings for sentiment analysis within this context, the task includes evaluating spoken reviews, the video content, and the emotions expressed by both the content creators and the viewers as reflected in the comments section. The vulnerability to facing circumstances in real-world scenarios where critical components are necessary for performing sentiment analysis on multimedia car reviews may unexpectedly be absent. To overcome this issue, siamese capsule gorilla troops network-based multimodal sentiment analysis for car reviews is proposed in this research work. Initially, pre-processing and feature extraction are performed on the audio, video and text information. The feature fusion is performed by enhancing spiking neural networks with geometric attention fusion network. The fused feature is fed as an input to siamese capsule gorilla troops network which classifies the emotion states as valence, arousal, and trustworthiness. Also, the algorithm called gorilla troop optimization (GTO) optimizes the classification error of the proposed siamese capsule network. Finally, this research work assesses high- and low-level features across modalities, introduces a novel enhancing spiking neural networks with geometric attention fusion network, enhances classification accuracy through new audio, video, and text embeddings, and boosts system robustness by integrating incomplete multimodal data. The achieved accuracy, precision, recall, and F-score values are 99%, 98.55%, 98.75%, and 98.02%, respectively, for the active multimodal sentimental analysis in car review (MuSe-Car) dataset. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

An intelligent speech enhancement model using enhanced heuristic-based residual convolutional neural network with encoder-decoder architecture

引用

International Journal of Speech technology 2024年第3期27卷 637-656页

作者： Balasubrahmanyam, M. Valarmathi, r.S. Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R & ampD Institute of Science and Technology Avadi Tamil Nadu Chennai600062 India

As the listening capacity exists in humans, they are facing the critical issues of understanding the speeches even in the presence of some background or other noises in the world. To diminish the noises, Speech Enhancement (SE) is the process of improving the quality of the speech signal by applying some techniques without degrading any such information. Hence, it is used for hearing-aid people, speech recognition, etc. recent researchers have developed some works to increase speech intelligibility. Substantial success has been achieved by executing the supervised learning methods. Nevertheless, the existing process incurs such shortcomings as attaining maximum error, computation burden, and so on. To overcome that, certain deep learning methodologies are immensely involved in SE for determining the spectrogram magnitude when reconstructing the signal source by removing the noise. Thus, it also becomes a more challenging task to acquire a clean speech signal. Though these methods aim to present the speech as more clear and intelligible, it may arise such intricacies that degrade the quality and efficiency. As it contains beneficial structure and resources, still it is in the scope of developing the novel SE model. To conquer these complexities, a successful SE task is offered utilizing deep learning in this paper. This recommended work performs the SE which employs deep learning to denoise a noisy speech to generate a quality speech. At first, the speech signal that contains noises such as cooler noise or fan noise, restaurant noise, railway station noise, factory noise, traffic in the journey, bus-stand noise, cinema theater noise, and clouding areas noise are gathered from the standard online sources. After that, this noisy speech signal is forwarded to Adaptive residual Convolutional Neural Networks with Encoder-decoder (ArCNNetEd) architecture, where the parameters involved in this framework are optimized with the support of random revised drawer Algorithm (rrdA

关键词： Speech enhancement

来源：评论

学校读者我要写书评

暂无评论

Integration of modified FMEA approach with Industry 4.0 technologies to improve reliability of lean systems

引用

International Journal of Industrial and Systems Engineering 2024年第2期47卷 216-236页

作者： Karthik, Subburaman Kuppusamy, Balaji Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology No. 42 Avadi-VelTech Road Vel Nagar Avadi Tamil Nadu Chennai600 062 India

Many organisations are using lean tools with Industry 4.0 technology these days to enhance the sustainability of their lean manufacturing systems. This article contributes by combining a lean tool (modified FMEA) with Industry 4.0 technologies to improve the dependability of lean systems. Under the four lean subsystems of personnel, equipment, materials, and schedules, a redesigned FMEA framework incorporating Industry 4.0 technologies is proposed. From the mapping of lean wastes, inventory accounts for 39% of total waste, overproduction accounts for 23% of total waste, defects account for 22% of total waste, non-utilised talent accounts for 16% of total waste based on rAV calculation from modified FMEA table. Also based on rPN calculation from the modified FMEA table, Inventory accounts for 45% of total waste, overproduction accounts for 23%, of total waste, defects account for 19% of total waste, non-utilised talent accounts for 13% of total waste. © 2024 Inderscience Enterprises Ltd.

关键词： Industry 4.0

来源：评论

学校读者我要写书评

暂无评论

SEr Analysis of GFdM System οver α – μ Fading Channel for 5G Wireless Applications

引用

Journal of Engineering science and technology review 2024年第4期17卷 205-209页

作者： Jada, Lingaiah Shiyamala, S. School of Electrical and Communication Engineering ECE Vel Tech Rangarajan Sagunthala R&D Institute of Science and Technology Avadi Tamilnadu Chennai600 062 India

A flexible radio waveform, generalised frequency division multiplexing (GFdM) allows for significant degrees of freedom in adjusting the number of time slots, subcarriers, and pulse shaping filters. The GFdM is one of the multi-carrier techniques that has been proposed to achieve 5G requirements. Initially, this study discusses about the derivation of novel analytical expression of symbol error rate under α − μ fading channel using the GFdM system. The proposed derivation includes rayleigh, Nakagami-m, and Nakagami-q fading channels as special cases for different α and μ values. Further, a simulation test-bed has been developed in MATLAB to access the simulation results and they are in good agreement with the derived theoretical results for various simulation parameters such as different roll-off factors, modulation orders and various fading parameters. © 2024 School of science, dUTH. All rights reserved.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：