检索结果-南通市图书馆

Journal of Advanced Ceramics 2015年第1期4卷 22-30页

作者： marikkannan senthil kumar Ayyasamy ELAYA PERUMAL T.R.VIJAYARAM School of Mechanical Building and Sciences VIT UniversityChennai-600127Tamil Nadu StateIndia Department of Mechanical Engineering Anna UniversityChennai-600025Tamil Nadu StateIndia

The study of cordierite ceramic is the need of the hour in present technological world for various advanced engineering ***,which has relatively poor mechanical properties,has induced the use of various dopants to study the improvement in mechanical *** of seeking new materials with good mechanical properties has revived the research on ceria doped *** research conducted on pure cordierite and ceria doped cordierite ceramics has investigated the results of characterization and studied their *** cordierite and cordierite-ceria(CeO_(2))composite ceramics synthesized for various stoichiometric composition(5-20 wt%)were compacted at 240 MPa and sintered between 600℃and 1350℃for 3 *** characterization techniques used in this study were X-ray diffraction(XRD),thermogravimetric(TG)analysis and Fourier transform infrared(FTIR).The density was calculated using the Archimedes *** of the ceria addition on cordierite’s mechanical properties such as hardness,flexural strength and fracture toughness and on thermal properties as thermal expansion was *** results confirmed the presence of cordierite and ceria in the samples heat treated at 1350℃.Results of FTIR and TG analyses revealed the formation of cordierite and the effect of ceria *** mechanical properties studied were found to be encouraging and confirmed the suitability of cordierite-ceria as an alternate material for cordierite.

关键词： cordierite ceria(CeO_(2)) temperature phase transformation properties

Reliable Data Collection Model and Transmission Framework in Large-Scale Wireless Medical Sensor Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第7期140卷 1077-1102页

作者： Haosong Gou Gaoyi Zhang RenêRipardo Calixto senthil kumar Jagatheesaperumal Victor Hugo C.de Albuquerque China Mobile Group Sichuan Co. Ltd.Chengdu640041China Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil Department of Electronics&Communication Engineering Mepco Schlenk Engineering CollegeSivakasi626005India

Large-scale wireless sensor networks(WSNs)play a critical role in monitoring dangerous scenarios and responding to medical ***,the inherent instability and error-prone nature of wireless links present significant challenges,necessitating efficient data collection and reliable transmission *** paper addresses the limitations of existing data transmission and recovery protocols by proposing a systematic end-to-end design tailored for medical event-driven cluster-based large-scale *** primary goal is to enhance the reliability of data collection and transmission services,ensuring a comprehensive and practical *** approach focuses on refining the hop-count-based routing scheme to achieve fairness in forwarding ***,it emphasizes reliable data collection within clusters and establishes robust data transmission over multiple *** systematic improvements are designed to optimize the overall performance of the WSN in real-world *** results of the proposed protocol validate its exceptional performance compared to other prominent data transmission *** evaluation spans varying sensor densities,wireless channel conditions,and packet transmission rates,showcasing the protocol’s superiority in ensuring reliable and efficient data *** systematic end-to-end design successfully addresses the challenges posed by the instability of wireless links in *** prioritizing fairness,reliability,and efficiency,the proposed protocol demonstrates its efficacy in enhancing data collection and transmission services,thereby offering a valuable contribution to the field of medical event-drivenWSNs.

关键词： Wireless sensor networks reliable data transmission medical emergencies cluster data collection routing scheme

A Novel Eccentric Intrusion Detection Model Based on Recurrent Neural Networks with Leveraging LSTM

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第3期78卷 3089-3127页

作者： Navaneetha Krishnan Muthunambu senthil Prabakaran Balasubramanian Prabhu Kavin Kishore senthil Siruvangur Kavitha Chinnadurai Jehad Ali Department of Computer Applications Karpagam College of EngineeringCoimbatore641032India Department of Computer Science and Engineering Karpagam College of EngineeringCoimbatore641032India Department of Data Science and Business Systems College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyJeppiaar NagarRajiv Gandhi SalaiChennai600119India Department of AI Convergence Network Ajou UniversitySuwon16499Korea

The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the ***,this development has expanded the potential targets that hackers might *** adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or *** identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious *** research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)*** proposed model can identify various types of cyberattacks,including conventional and distinctive *** networks,a specific kind of feedforward neural networks,possess an intrinsic memory *** Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended *** such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual *** are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection *** model utilises Recurrent Neural Networks,specifically exploiting LSTM *** proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.

关键词： Cybersecurity intrusion detection machine learning leveraging long short-term memory(LLSTM) CICIDS2019 dataset innovative cyberattacks

Intraocular pressure and gonioscopic findings in primary angle-closure disease in India—a big data study

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Ophthalmology(English edition) 2024年第8期17卷 1495-1500页

作者： Srikantaiah Ramyashri Anthony Vipin Das Sirisha senthil VST Centre for Glaucoma Care Kallam Anji Reddy CampusL V Prasad Eye InstituteHyderabad 500034India Drishti Eye Centre Hyderabad 500073India Kallam Anji Reddy Campus L V Prasad Eye InstituteHyderabad 500034India

AIM:To describe the gonioscopic profile and intraocular pressure(IOP)in primary angle-closure(PAC)disease in patients presenting to a tertiary eye care network in ***:A cross-sectional hospital-based study that included 31484 new patients presenting between 2011 and *** with a clinical diagnosis of PAC/suspect/glaucoma were *** data was collected from an electronic medical record ***:PAC glaucoma(PACG)(47.55%)was the most common diagnosis followed by PAC(39.49%)and PAC suspect(PACS;12.96%).Female preponderance(54.6%)was noted with higher mean age at presentation among males(P<0.0001).PACS and PAC showed the highest prevalence in 6th decade but PACG was higher at 7th *** probability of angle opening was 95.93%,90.32%and 63.36%in PACS,PAC and PACG eyes respectively post peripheral iridotomy(PI).Plateau iris syndrome(PIS)was noted in 252 eyes and all showed post dilated rise of IOP.A post dilated IOP rise was also noted with 8.86%,33.95%and 57.19%eyes with PACS,PAC and PACG respectively with IOP rise between 6-8 mm Hg across the disease ***:The superior quadrant is the narrowest angle and difficult to open with indentation and post *** probability of angle opening is less in PIS especially the complete variety along with post dilated IOP *** post dilated IOP rise in angle closure eyes warrants a careful dilatation,especially with PIS.

关键词： angle closure disease peripheral iridectomy gonioscopy post dilated intraocular pressure rise plateau iris syndrome

Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第8期80卷 2785-2813页

作者： Wufei Wu Javad Hassannataj Joloudari senthil kumar Jagatheesaperumal Kandala N.V.P.SRajesh Silvia Gaftandzhieva Sadiq Hussain Rahimullah Rabih Najibullah Haqjoo Mobeen Nazar Hamed Vahdat-Nejad Rositsa Doneva School of Information Engineering Nanchang UniversityNanchang330031China Department of Computer Engineering Technical and Vocational University(TVU)Tehran***Iran Department of Computer Engineering University of BirjandBirjand***Iran Department of Computer Engineering Babol BranchIslamic Azad UniversityBabol***Iran Department of Electronics&Communication Engineering Mepco Schlenk Engineering CollegeSivakasi626005India School of Electronics Engineering VIT-AP UniversityNear Vijayawada522237India Faculty of Mathematics and Informatics University of Plovdiv Paisii HilendarskiPlovdiv4000Bulgaria Examination Branch Dibrugarh UniversityDibrugarh786004India Department of Computer Engineering Faculty of EngineeringUniversity of BirjandBirjand***Iran Faculty of Electrical and Computer Engineering University of BirjandBirjand***Iran Malaysian Institute of Information Technology Universiti Kuala LumpurKuala Lumpur50250Malaysia Faculty of Physics and Technology University of Plovdiv Paisii HilendarskiPlovdiv4000Bulgaria

The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles(IoV)*** functional advantages of IoV include online communication services,accident prevention,cost reduction,and enhanced traffic *** these benefits,IoV technology is susceptible to cyber-attacks,which can exploit vulnerabilities in the vehicle network,leading to perturbations,disturbances,non-recognition of traffic signs,accidents,and vehicle *** paper reviews the state-of-the-art achievements and developments in applying Deep Transfer Learning(DTL)models for Intrusion Detection Systems in the Internet of Vehicles(IDS-IoV)based on anomaly ***-IoV leverages anomaly detection through machine learning and DTL techniques to mitigate the risks posed by *** systems can autonomously create specific models based on network data to differentiate between regular traffic and *** these techniques,transfer learning models are particularly promising due to their efficacy with tagged data,reduced training time,lower memory usage,and decreased computational *** evaluate DTL models against criteria including the ability to transfer knowledge,detection rate,accurate analysis of complex data,and *** review highlights the significant progress made in the field,showcasing how DTL models enhance the performance and reliability of IDS-IoV *** examining recent advancements,we provide insights into how DTL can effectively address cyber-attack challenges in IoV environments,ensuring safer and more efficient transportation networks.

关键词： Cyber-attacks internet of things internet of vehicles intrusion detection system

Recent antibacterial agents from biomass derivatives:Characteristics and applications

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Bioresources and Bioproducts 2024年第3期9卷 283-309页

作者： Nissa Nurfajrin Solihat Alif Faturahman Hidayat R.A.Ilyas senthil Muthu kumar Thiagamani Nur Izyan Wan Azeele Fahriya Puspita Sari Maya Ismayati Mohammad Irfan Bakshi Zaharaddeen N.Garba M.Hazwan Hussin Witta Kartika Restu Wasrin Syafii Harits Atika Ariyanta Widya Fatriasari Research Center for Biomass and Bioproducts National Research and Innovation Agency(BRIN)Kawasan KST SoekarnoJl Raya Bogor KM 46 Cibinong Bogor 16911Indonesia Department of Bioproducts and Biosystems School of Chemical EngineeringAalto UniversityEspoo 16300Finland Department of Chemical Engineering Faculty of Chemical and Energy EngineeringUniversiti Teknologi MalaysiaJohor 81310Malaysia Centre for Advanced Composite Materials Universiti Teknologi MalaysiaJohor 81310Malaysia Institute of Tropical Forestry and Forest Products Universiti Putra MalaysiaSerdang 43400Malaysia Centre of Excellence for Biomass Utilization Universiti Malaysia PerlisPerlis 02600Malaysia Department of Mechanical Engineering Kalasalingam Academy of Research and EducationKrishnankoil 626126India Institute of Bioproduct Development(IBD) Universiti Teknologi MalaysiaJohor 81310Malaysia Department of Chemistry Ahmadu Bello UniversityZaria 810211Nigeria Materials Technology Research Group(MaTReC) School of Chemical SciencesUniversiti Sains MalaysiaMinden 11800Malaysia Research Center for Chemistry National Research and Innovation Agency(BRIN)Kawasan Puspiptek SerpongSouth Tangerang 15314Indonesia Department of Forest Products Faculty of Forestry and EnvironmentIPB UniversityBogor 16680Indonesia Department of Pharmacy Gunadarma UniversityDepok 16424Indonesia Research Collaboration Center of Biomass-Based Nano Cosmetic In collaboration with National Research and Innovation Agency(BRIN)SamarindaEast KalimantanIndonesia

Enhancing awareness of personal cleanliness and antibacterial resistance has intensified the antibacterial substance request on consumable products. Antibacterial agents that have been commercialized nowadays are produced from inorganic and non-renewable substances. This provides several drawbacks, particularly against health and environmental issues. Therefore, many scientists work on substituting fossil-fuel-based antibacterial agents with natural ones such as from biomass. Biomass derivatives, natural abundances of biopolymers in the world, amount to major compounds including polysaccharides (cellulose, hemicellulose, and chitosan) and polyphenol (tannin and lignin) substances which are capable to combat the growth of Gram-positive bacteria and Gram-negative bacteria. To date, no report focuses on a deep understanding of antibacterial properties derived from biomass and the internal and external factors effects. This work provides that gap because comprehensive knowledge is necessary before applying biomass to the products. The potency of biomass derivatives as antibacterial additives is also summarized. Basic knowledge of antibacterial characteristics to the application in products is highlighted in this review. Besides, the discussion about challenges and future perspectives is also delivered.

关键词： Antibacterial Application Biomass derivatives Challenge Future perspectives

Analysis on Critical Success Factors for Agile Manufacturing Evaluation in Original Equipment Manufacturing Industry-An AHP Approach

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2016年第5期29卷 880-888页

作者： C Ajay Guru Dev V S senthil kumar Department of Mechanical Engineering CEG Anna University

Manufacturing industries are facing challenges in the implementation of agile manufacturing in their products and processes. Agility is widely accepted as a new competitive concept in the manufacturing sector in fulfilling varying customer demand. Thus, evaluation of agile manufacturing in industries has become a necessity. The success of an organisation depends on its ability to manage finding the critical success factors and give them special and continued attention in order to bring about high performance. This paper proposes a set of critical success factors （CSFs） for evaluating agile manufacturing considered appropriate for the manufacturing sector. The analytical hierarchy process （AHP） method is applied for prioritizing the success factors, by summarizing the opinions of experts. It is believed that the proposed CSFs enable and assist manufacturing industries to achieve a higher performance in agile manufacturing so as to increase competitiveness.

关键词： critical success factor analytic hierarchy process pairwise comparison

Investigation of material removal characteristics of Si(100)wafer during linear field atmospheric-pressure plasma etching

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Nanotechnology and Precision Engineering 2020年第4期3卷 244-249页

作者： Weijia Guo senthil kumar A. Peng Xu Department of Mechanical Engineering National University of Singapore9 Engineering Drive 1117575Singapore Singapore Institute of Manufacturing Technology 73 Nanyang Drive637662Singapore

Atmospheric-pressure(AP)plasma etching provides an alternative method for mechanical grinding to realize wafer thinning of Si *** can avoid the damages and micro-cracks that would be introduced by mechanical stress during the grinding *** this study,the material removal characteristics of Si(100)wafer processed by linear field AP plasma generated using carbon tetrafluoride(CF4)as the reactive source were *** linear field plasma etching tool has a typical removal profile and the depth removal rate that can reach up to 1.082μm/*** effect ofO2 concentration on the removal ratewas discussed and the surfacemorphology during the process was characterized using scanning electron *** is shown that the subsurface damage layer was gradually removed during the etching process and the surface was observed to be smoothened with the increase of the etching *** present work contributes a basic understanding of the linear field AP plasma etching performance with different gas composition and the typical characteristics would be further applied to damage-free precision removal of Si.

关键词： AP plasma etching Removal characteristics Oxygen effect Surface morphology

Early Detection Glaucoma and Stargardt’s Disease Using Deep Learning Techniques

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第5期36卷 1283-1299页

作者： Somasundaram Devaraj senthil kumar Arunachalam Department of Electronics and Communication Engineering Sri Shakthi Institute of Engineering and TechnologyCoimabatore641062TamilnaduIndia

Retinal fundus images are used to discover many *** Machine learning algorithms are designed to identify the Glaucoma *** the accuracy and time consumption performance were not *** address this problem Max Pool Convolution Neural Kuan Filtered Tobit Regres-sive Segmentation based Radial Basis Image Classiﬁer(MPCNKFTRS-RBIC)Model is used for detecting the Glaucoma and Stargardt’s disease by early period using higher accuracy and minimal *** MPCNKFTRS-RBIC Model,the ret-inal fundus image is considered as an input which is preprocessed in hidden layer 1 using weighted adaptive Kuanﬁ***,preprocessed retinal fundus is given for hidden layer 2 for extracting the features like color,intensity,texture with higher *** extracting these features,the Tobit Regressive Segmenta-tion process is performed by hidden layer 3 for partitioning preprocessed image within more segments by analyzing the pixel with the extracted features of the fundus ***,the segmented image was given to output *** radial basis function analyzes the testing image region of a particular class as well as training image region with higher accuracy and minimum time *** is performed with retinal fundus image dataset with various perfor-mance metrics namely peak signal-to-noise ratio,accuracy and time,error rate concerning several retina fundus image and image size.

关键词： Glaucoma detection max pool convolution neural network kuanﬁlter radial basis function

Optimal control of alcoholism spreading through awareness over multiplex network

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Biomathematics 2021年第6期14卷 33-58页

作者： Padmavathi Ramamoorthi senthil kumar Muthukrishnan Department of Science and Humanities Info Institute of Engineering CoimbatoreIndia Department of Applied Mathematics and Computational Sciences PSG College of Technology CoimbatoreIndia

This paper proposes the SISRS epidemic model to represent alcohol addiction among *** spreading of alcohol addiction is controlled by creating awareness among the people and also by treating them to overcome *** network is used to study the dynamics of *** spreads over the physical contact layer and follows the SISRS process whereas human awareness spreads over the virtual contact layer and follows the UAU *** on the Microscopic Markov Chain Approach competing dynamics of spreading of alcohol addiction and human awareness diffusion are *** conditions for the existence of an alcohol-free population are *** optimal control problem using a suitable cost index is formulated to reduce the alcohol addicts and the optimal control strategy using Pontryagin’s Minimum Principle is *** results are developed to find the effect of various parameters and to analyze the effects of different control *** results obtained from this model are closer to the data collected in the National Survey of Drug Use and Health(NSDUH)from 2002 to 2018.

关键词： Alcohol spreading information diffusion Microscopic Markov Chain Approach optimal control