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Little RNAs Go a Long Way:Long-Distance Signaling by MicroRNAs

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Molecular Plant 2019年第1期12卷 18-20页

作者： senthil Subramanian Department of Agronomy Horticultureand Plant ScienceDepartment of Biology &MicrobiologySouth Dakota State UniversityBrookingsSD 57007 USA

Plants have evolved morphological,physiological,and molecular adaptations to respond to and overcome environmental *** these fluctuations are sensed locally,coordinated responses occur at the whole plant level,necessitating specific and tightly controlled long-distance signaling mechanisms. These involve sugars,RNAs,secreted peptides,and plant hormones as signaling molecules.

关键词： Plants level RNAs

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

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

THRFuzzy:Tangential holoentropy-enabled rough fuzzy classifier to classification of evolving data streams

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Journal of Central South University 2017年第8期24卷 1789-1800页

作者： Jagannath E.Nalavade T.senthil Murugan Department of CSE Veltech Dr.RR&Dr.SR Technical UniversityChennaiIndia

The rapid developments in the fields of telecommunication, sensor data, financial applications, analyzing of data streams, and so on, increase the rate of data arrival, among which the data mining technique is considered a vital process. The data analysis process consists of different tasks, among which the data stream classification approaches face more challenges than the other commonly used techniques. Even though the classification is a continuous process, it requires a design that can adapt the classification model so as to adjust the concept change or the boundary change between the classes. Hence, we design a novel fuzzy classifier known as THRFuzzy to classify new incoming data streams. Rough set theory along with tangential holoentropy function helps in the designing the dynamic classification model. The classification approach uses kernel fuzzy c-means(FCM) clustering for the generation of the rules and tangential holoentropy function to update the membership function. The performance of the proposed THRFuzzy method is verified using three datasets, namely skin segmentation, localization, and breast cancer datasets, and the evaluated metrics, accuracy and time, comparing its performance with HRFuzzy and adaptive k-NN classifiers. The experimental results conclude that THRFuzzy classifier shows better classification results providing a maximum accuracy consuming a minimal time than the existing classifiers.

关键词： data stream classification fuzzy rough set tangential holoentropy concept change

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

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

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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

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

A facile preparation of 3D flower-shaped Ni/Al-LDHs covered by β-Ni(OH)2 nanoplates as superior material for high power application

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Chinese Journal of Chemical Engineering 2019年第10期27卷 2526-2534页

作者： Abrar Khan Raja Arumugam senthil Junqing Pan Yanzhi Sun State Key Laboratory of Chemical Resource Engineering Beijing Engineering Center for Hierarchical CatalystsBeijing Advanced Innovation Center for Soft Matter Science and EngineeringBeijing University of Chemical TechnologyBeijing 100029China

In the present study,we propose a novel electrode material ofβ-nickel hydroxide covering nickel/aluminum layered double hydroxides via a facile complexation–precipitation *** as-obtained materials with 3-dimensional nanostructures are further utilized as highly capable electrode material in nickel–metal hydride *** electrochemical test results demonstrated theβ-nickel hydroxide covering nickel/aluminum-layered double hydroxides with 28%ofβ-nickel hydroxide provided a superior specific capacity value of 452 m A·h·g-1 in a current density of 5 A·g-1 using 6 M KOH as electrolyte as compared with other *** addition,the optimized sample displays an outstanding cyclic stability along with a huge specific capacity value of320 m Ah·g-1,and very small decay rate of 3.3%at 50 A·g-1 after 3000 cycles of charge/discharge *** indicate that the newly designed material with nanostructures not only provides an efficient contact interface between electrolyte and active species and facilitates the transport of electrons and ions,but also protects the 3-dimensional nickel/aluminum layered double hydroxides,achieving a high specific capacity,fast redox reaction and excellent long-term cyclic ***,theβ-nickel hydroxide covering nickel/aluminum layered double hydroxides with superior electrochemical performance is predictable to be a gifted electrode material in nickel–metal hydride batteries.

关键词： Nanostructures Nickel hydroxide Cathode material Ultrafast charge–discharge Ni–MH batteries

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