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Assembly of low-voltage driven co-production of hydrogen and sulfur via Ru nanoclusters on metal-sulfur coordination:Insights from DFT calculations

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Journal of Energy Chemistry 2024年第12期99卷 541-552页

作者： Ahreum Min Velusamy Maheskumar Dong Hyeon Lee Anuj kumar Cheol Joo Moon Raja Arumugam senthil Myong Yong Choi Core-Facility Center for Photochemistry&Nanomaterials Gyeongsang National UniversityJinju 52828Gyeongsangnam doRepublic of Korea Department of Chemistry(BK21 FOUR) Research Institute of Natural SciencesGyeongsang National UniversityJinju 52828Gyeongsangnam doRepublic of Korea Nano-Technology Research Laboratory Department of ChemistryGLA UniversityMathuraUttar Pradesh 281406India

Herein,we propose a simple and rapid approach for synthesizing a CuS/Ru composite that serves as a bifunctional electrocatalyst to promote hydrogen production and concurrently convert sulfion into a value-added sulfur *** composite comprises Ru nanoclusters supported on the CuS nanostructure,achieved through simple pulsed laser irradiation in liquid *** optimized CuS/Ru-30 electrocatalyst demonstrates remarkable bifunctional electrocatalytic activity,exhibiting a negligible working potential of 0.28 V(***)for the anodic sulfion oxidation reaction(SOR)and a minimal overpotential of 182 m V for cathodic hydrogen evolution reaction(HER)to achieve 10 mA cm^(-2)of current ***,the Cu S/Ru-30 electrocatalyst shows exceptional selectivity for converting sulfion into valuable sulfur during anodic oxidation ***,in a two-electrode electrolyzer system utilizing Cu S/Ru-30 as both the anode and cathode,the SOR+HER coupled water electrolysis system demands only 0.52 V to reach 10 mA cm^(-2),which is considerably lesser compared to the OER+HER coupled water electrolysis(1.85 V).The experimental results and density function theory(DFT)calculations reveal that the strong electron interaction between CuS and Ru nanoclusters generates a built-in electric field,greatly enhancing electron transfer *** significantly boosts the HER performance and facilitates the adsorption and production of sulfur *** study presents a rapid and simple strategy for synthesizing a dual-functional catalyst suitable for low-voltage hydrogen generation while facilitating the recovery of valuable sulfur sources.

关键词： Copper sulfide Ru nanoclusters Pulsed laser irradiation in liquids Sulfion oxidation reaction Hydrogen evolution reaction

Antibacterial forsterite (Mg_(2)SiO_(4)) scaffold: A promising bioceramic for load bearing applications

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Bioactive Materials 2018年第3期3卷 218-224页

作者： Rajan Choudhary Ankita Chatterjee senthil kumar Venkatraman Sivasankar Koppala Jayanthi Abraham Sasikumar Swamiappan Department of Chemistry School of Advanced SciencesVIT UniversityVellore632014Tamil NaduIndia Microbial Biotechnology Laboratory School of Biosciences and TechnologyVIT UniversityVellore632014Tamil NaduIndia Faculty of Metallurgical and Energy Engineering Kunming University of Science and TechnologyKunming650093Yunnan ProvincePR China

In the current work,forsterite samples with different surface area were investigated for its antibacterial *** studies show that the lower degradation of forsterite compared to other silicate bioceramics,which is a desirable property for repairing bone *** scaffold shows superior compressive strength than the cortical bone after immersion in simulated body *** tests indicate that the forsterite had inhibition effect on the growth of clinical bacterial *** may be a suitable candidate material for load bearing applications with enhanced mechanical properties and lower degradation rate.

关键词： Magnesium silicate Bone Antibacterial Dissolution Mechanical stability

最小量润滑下搅拌摩擦焊接AA2014合金的组织与力学性能

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Journal of Central South University 2023年第4期30卷 1047-1063页

作者： MYSTICA A. senthil kumar V.S. Department of Mechanical Engineering CEGAnna UniversityTamilnaduIndia

搅拌摩擦焊(FSW)的余热溶解析出相降低了沉淀强化AA2014合金的接头质量。本研究采用最小量润滑(MQL)技术来散热,将采用两步法制备的石墨烯纳米流体作为冷却剂,用光学显微镜、扫描电镜、透射电镜、X射线衍射和差示扫描量热法研究晶粒结... 详细信息

搅拌摩擦焊(FSW)的余热溶解析出相降低了沉淀强化AA2014合金的接头质量。本研究采用最小量润滑(MQL)技术来散热,将采用两步法制备的石墨烯纳米流体作为冷却剂,用光学显微镜、扫描电镜、透射电镜、X射线衍射和差示扫描量热法研究晶粒结构和析出相的发展。结果表明,在不同转速和焊接速度组合下,不同的热循环对析出相的转变不同,从而对焊缝性能产生调节作用,成功消除无沉淀析出带的形成。采用n-MQL技术产生了稳定的θ相,从而使焊接接头有更高的焊接性能。在1200 r/min的转速和72 mm/min的焊接速度下,建立了具有优异性能的工艺窗口。

关键词：搅拌摩擦焊最少润滑量石墨烯纳米流体 AA2014合金析出相

An Intelligent Deep Neural Sentiment Classification Network

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Intelligent Automation & Soft Computing 2023年第5期36卷 1733-1744页

作者： Umamaheswari Ramalingam senthil kumar Murugesan Karthikeyan Lakshmanan Chidhambararajan Balasubramaniyan Department of Electronics and Instrumentation Engineering SRM Valliammai Engineering CollegeKattankulathurTamilnaduIndia Department of Computer Science and Engineering SRM Valliammai Engineering CollegeKattankulathurTamilnaduIndia Department of Electronics and Communications Engineering SRM Valliammai Engineering CollegeKattankulathurTamilnaduIndia

A Deep Neural Sentiment Classiﬁcation Network(DNSCN)is devel-oped in this work to classify the Twitter data *** attempts to extract the negative and positive sentiments in the Twitter *** main goal of the system is toﬁnd the sentiment behavior of tweets with minimum ambiguity.A well-deﬁned neural network extracts deep features from the tweets *** extracting features deeper and deeper,the text in each tweet is represented by Bag-of-Words(BoW)and Word Embeddings(WE)*** effectiveness of DNSCN architecture is analyzed using Twitter-Sanders-Apple2(TSA2),Twit-ter-Sanders-Apple3(TSA3),and Twitter-DataSet(TDS).TSA2 and TDS consist of positive and negative tweets,whereas TSA3 has neutral tweets ***,the proposed DNSCN acts as a binary classiﬁer for TSA2 and TDS databases and a multiclass classiﬁer for *** performances of DNSCN architecture are evaluated by F1 score,precision,and recall rates using 5-fold and 10-fold *** show that the DNSCN-WE model provides more accuracy than the DNSCN-BoW model for representing the tweets in the feature *** F1 score of the DNSCN-BW based system on the TSA2 database is 0.98(binary classiﬁcation)and 0.97(three-class classiﬁcation)for the TSA3 *** system provides better a F1 score of 0.99 for the TDS database.

关键词： Deep neural network word embeddings bag-of-words sentiment analysis text classiﬁcation

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

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

COMPARISON OF MODELING TECHNIQUES FOR SELECTING OPTIMIZED AND AUTOMATED PLASMA CUTTING PROCESS PARAMETERS

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International Journal of Modeling, Simulation, and Scientific Computing 2012年第3期3卷 94-108页

作者： M.senthil kumar B.DHANASEKAR G.RANGA JANARDHANA S.PARAMASIVAM K.S.JAYA kumar Department of Mechanical Engineering JNTU KakinadaAndhra PradeshIndia General Motors BangaloreKarnatakaIndia Department of Mechanical Engineering JNTU VizianagaramAndhra PradeshIndia ESAB India Ltd. ChennaiTamilnaduIndia Department of Mechanical Engineering S.S.N.College of Engineering Chennai TamilnaduIndia

The advancement in technologies made the entire manufacturing system,to be operated with more efficient,flexible,user friendly,more productive and cost *** such a system to be focused for advancement is plasma cutting system,which has wider industrial *** are many researches pursuing at various area of plasma cutting technology,still the automated and optimized parameters value selection is *** work is aimed to eliminate the manual mode of feeding the input parameters for cutting *** present,cutting parameters are fed by referring the past cut data information or with the assistance of experienced *** cutting process parameters selections will have direct impact on the quality of the material being cut,and life of the *** paper is intended to automate the process parameters selection by developing the mathematical model with existing cutting process parameters *** this,three different approaches,multiple regression,multiple polynomial regression and AI technique,are selected and analyzed with the mathematical relations developed between the different cutting process *** accuracy and reliability of those methods are *** advantage and disadvantage of those methods for optimal setting conditions are *** appropriate method that can be preferred for automated and optimal settings are ***,the selected technique is checked for accuracy and reliability for the existing cut data.

关键词： Plasma cutting parameters optimized parameters selection multiple polynomial regression(MPR) multiple regression and ANFIS

Deep Optimal VGG16 Based COVID-19 Diagnosis Model

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Computers, Materials & Continua 2022年第1期70卷 43-58页

作者： M.Buvana K.Muthumayil S.senthil kumar Jamel Nebhen Sultan S.Alshamrani Ihsan Ali Department of Computer Science and Engineering PSNA College of Engineering and TechnologyDindigul624622India Department of Information Technology PSNA College of Engineering and TechnologyDindigul624622India Department of Electrical and Electronics Engineering New Prince Shri Bhavani College of Engineering and TechnologyChennai600073India Prince Sattam Bin Abdulaziz University College of Computer Engineering and SciencesAlkharj11942Saudi Arabia Department of Information Technology College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer System and Technology Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala Lumpur50603Malaysia

Coronavirus(COVID-19)outbreak was first identified in Wuhan,China in December *** was tagged as a pandemic soon by the WHO being a serious public medical *** spite of the fact that the virus can be diagnosed by qRT-PCR,COVID-19 patients who are affected with pneumonia and other severe complications can only be diagnosed with the help of Chest X-Ray(CXR)and Computed Tomography(CT)*** this paper,the researchers propose to detect the presence of COVID-19 through images using Best deep learning model with various *** features like Speeded-Up Robust Features(SURF),Features from Accelerated Segment Test(FAST)and Scale-Invariant Feature Transform(SIFT)are used in the test images to detect the presence of *** optimal features are extracted from the images utilizing DeVGGCovNet(Deep optimal VGG16)model through optimal learning *** task is accomplished by exceptional mating conduct of Black Widow *** this strategy,cannibalism is *** this phase,fitness outcomes are rejected and are not satisfied by the proposed *** results acquired from real case analysis demonstrate the viability of DeVGGCovNet technique in settling true issues using obscure and testing ***16 model identifies the imagewhich has a place with which it is dependent on the distinctions in *** impact of the distinctions on labels during training stage is studied and predicted for test *** proposed model was compared with existing state-of-the-art models and the results from the proposed model for disarray grid estimates like Sen,Spec,Accuracy and F1 score were promising.

关键词： COVID 19 multi-feature extraction vgg16 optimal learning rate

IEC61850 standard-based harmonic blocking scheme for power transformers

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Protection and Control of Modern Power Systems 2019年第1期4卷 123-137页

作者： senthil Krishnamurthy Bwandakassy Elenga Baningobera Center for Substation Automation and Energy Management Systems(CSAEMS) DEECECape Peninsula University of TechnologyPO BOX 1906Bellville 7535South Africa

Transformer Differential and overcurrent schemes are traditionally used as main and backup protection respectively. The differential protection relay (SEL487E) has dedicated harmonic restraint function which blocks the relay tripping during the transformer magnetizing inrush conditions. However, the backup overcurrent relay (SEL751A) applied to the transformer protection does not have harmonic restraint element and trip the overcurrent relay during the inrush conditions. Therefore, major contribution of this research work is the developed harmonic blocking scheme for transformer which uses element (87HB) of the transformer differential relay (SEL487E) to send an IEC61850 GOOSE-based harmonic blocking signal to the backup overcurrent relay (SEL751A) to inhibit from tripping during the transformer magnetizing inrush current conditions. The simulation results proved that IEC61850 standard-based protection scheme is faster than the hardwired signals. Therefore, the speed and reliability of the transformer scheme are improved using the IEC61850 standard-based GOOSE applications.

关键词： Transformer protection Overcurrent protection Digital protection scheme Current differential protection Transformer magnetizing inrush current Harmonic blocking IEC 61850 GOOSE message