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Deep Learning for Wind Speed Forecasting Using Bi-LSTM with Selected Features

Intelligent Automation & Soft Computing 2023年第3期35卷 3829-3844页

作者： Siva Sankari Subbiah senthil kumar paramasivan Karmel Arockiasamy Saminathan Senthivel Muthamilselvan Thangavel Department of Computer Science and Engineering Sreenivasa Institute of Technology and Management StudiesChittoor517127India School of Information Technology&Engineering Vellore Institute of TechnologyVellore632014India School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India School of Computing College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India

Wind speed forecasting is important for wind energy *** the modern era,the increase in energy demand can be managed effectively by fore-casting the wind speed *** main objective of this research is to improve the performance of wind speed forecasting by handling uncertainty,the curse of dimensionality,overﬁtting and non-linearity *** curse of dimensionality and overﬁtting issues are handled by using Boruta feature *** uncertainty and the non-linearity issues are addressed by using the deep learning based Bi-directional Long Short Term Memory(Bi-LSTM).In this paper,Bi-LSTM with Boruta feature selection named BFS-Bi-LSTM is proposed to improve the performance of wind speed *** model identiﬁes relevant features for wind speed forecasting from the meteorological features using Boruta wrapper feature selection(BFS).Followed by Bi-LSTM predicts the wind speed by considering the wind speed from the past and future time *** proposed BFS-Bi-LSTM model is compared against Multilayer perceptron(MLP),MLP with Boruta(BFS-MLP),Long Short Term Memory(LSTM),LSTM with Boruta(BFS-LSTM)and Bi-LSTM in terms of Root Mean Square Error(RMSE),Mean Absolute Error(MAE),Mean Square Error(MSE)and *** BFS-Bi-LSTM surpassed other models by producing RMSE of 0.784,MAE of 0.530,MSE of 0.615 and R2 of *** experimental result shows that the BFS-Bi-LSTM produced better forecasting results compared to others.

关键词： Bi-directional long short term memory boruta feature selection deep learning machine learning wind speed forecasting

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

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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

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

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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

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Recent antibacterial agents from biomass derivatives:Characteristics and applications

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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

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

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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

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

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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

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

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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

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Optimal control of alcoholism spreading through awareness over multiplex network

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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

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Unique and hierarchically structured novel Co3O4/NiO nanosponges with superior photocatalytic activity against organic contaminants

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Frontiers of Materials Science 2017年第4期11卷 375-384页

作者： Vahini RAJA senthil kumar PUVANESWARAN Karuthapandian SWAMINATHAN Department of Chemistry VHNSN College Virudhunagar-626001 Tamilnadu India

In the present study, novel Co3O4/NiO nanosponges designed for the photocatalytic degradation of organic contaminants were synthesized by a simple precipitation technique. The formation of sponge-like nanostructures was clearly evident through the TEM analysis. The photocatalytic efficiency was tested against rhodamine B （RhB） and congo red （CR） dye solutions. Co3O4/NiO nanosponges showed excellent and enhanced photocatalytic efficacy compared to those of Co3O4, NiO nanoparticles, and standards like Ti02 and ZnO. The influence of paramount important operational parameters was explored and the conditions for the best photocatalytic efficiency were optimized. The trapping experiment revealed that the reactive oxygen species （ROS） identified was · OH radical. These findings certainly open up a new way for synthesizing a morphology dependent photocatalyst.

关键词： Co3O4/NiO nanosponges photocatalytic efficacy visible light

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A perspective on toxicology of Conus venom peptides

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Asian Pacific Journal of Tropical Medicine 2015年第5期8卷 337-351页

作者： Palanisamy Satheesh kumar Dhanabalan senthil kumar Sundaresan Umamaheswari Department of Biological and Environmental Sciences University of Messina Department of Zoology Kandaswami Kandar College Department of Environmental Biotechnology Bharathidasan University

The evolutionarily unique and ecologically diverse family Conidae presents fundamental opportunities for marine pharmacology research and drug *** focus of this investigation is to summarize the worldwide distribution of Conus and their species diversity with special reference to the Indian *** addition,this study will contribute to understanding the structural properties of conotoxin and therapeutic application of Conus venom *** snails can inject a mix of various conotoxins and these venoms are their major weapon for prey capture,and may also have other biological purposes,and some of these conotoxins fatal to *** venoms contain a remarkable diversity of pharmacologically active small peptides;their targets are an iron channel and receptors in the neuromuscular *** divergence is pronounced in venom peptide genes,which is generally attributed to their species specific biotic *** is a notable interspecific divergence observed in venom peptide genes,which can be justified as of biotic interactions that stipulate species peculiar habitat and ecology of cone *** are several conopeptides used in clinical trials and one peptide(Ziconotide) has received FDA approval for treatment of *** perspective provides a comprehensive overview of the distribution of cone shells and focus on the molecular approach in documenting their taxonomy and diversity with special reference to geographic distribution of Indian cone snails,structure and properties of conopeptide and their pharmacological targets and future directions.

关键词： Distribution Conus Conotoxin Peptide Toxicology Pharmacology

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