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Synthesis of 1,8-dioxooctahydroxanthenes utilizing pMA-SiO_2 as an efficient reusable catalyst

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Chinese Chemical Letters 2008年第7期19卷 771-774页

作者： p.srihari S.S.Mandal J.S.S.Reddy R.Srinivasa Rao J.S.Yadav Organic Division-I Indian Institute of Chemical TechnologyHyderabad 500007India

pMA-SiO2 has been utilized as an efficient catalyst system in preparation of 1,8-dioxooctahydroxanthenes.

关键词： Heteropolyacids Xanthenes pigments Dyes Silica gel

Identification of optimal composition with superior electrochemical properties along the zero Mn^(3+)line in Na_(0.75)(Mn-Al-Ni)O_(2)pseudo ternary system

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Journal of Energy Chemistry 2024年第9期96卷 206-216页

作者： Hari Narayanan Vasavan Manish Badole Samriddhi Saxena Velaga srihari Asish Kumar Das pratiksha Gami Neha Dagar Sonia Deswal pradeep Kumar Himanshu Kumar poswal Sunil Kumar Department of Metallurgical Engineering and Materials Science Indian Institute of Technology IndoreSimrol 453552India High pressure&Synchrotron Radiation physics Division Bhabha Atomic Research Centre400085 MumbaiIndia School of physical Sciences Indian Institute of Technology MandiHimachal Pradesh 175005India Center for Electric Vehicle and Intelligent Transport Systems Indian Institute of Technology IndoreSimrol 453552India

Biphasic layered oxide cathodes,known for their superior electrochemical performance,are prime candidates for commercializing in Na-ion ***,we unveil a series of p3/p2 monophasic and biphasic Al-substituted Na_(3/4)Mn_(5-x/8)Al_(2x/8)Ni_(3-x/8)O_(2)layered oxide cathodes that lie along the‘zero Mn^(3+)line’in the Na_(3/4)(Mn-Al-Ni)O_(2)pseudo-ternary *** structural analysis showed a larger Na^(+)conduction bottleneck area in both p3 and p2 structures with a higher Al3+content,which enhanced their rate *** each composition,the p3/p2 biphasic compound with nearly equal fractions of p3 and p2 phases outperformed their monophasic counterparts in almost all electrochemical performance *** synchrotron XRD measurements obtained for the monophasic p3 and biphasic p2/p3 samples revealed the absence of the O3 phase during *** high structure stability and faster Na^(+)transport kinetics in the biphasic samples underpins the enhancement of electrochemical properties in the Al-substituted p3/p2 *** results highlight fixed oxidation state lines as a novel tool to identify and design layered oxide cathodes for Na-ion batteries in pseudo-ternary diagrams involving Jahn-Teller active cations.

关键词： Layered oxides Biphasic cathode Operando Synchrotron XRD Electrochemical behavior Cyclic performance

Fuzzy Logic Based Handover Authentication in 5g Telecommunication Heterogeneous Networks

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Computer Systems Science & Engineering 2023年第7期46卷 1141-1152页

作者： J.Divakaran Arvind Chakrapani K.srihari Vivekanandha College of Engineering for Women TiruchengodeNamakkal637205TamilnaduIndia Karpagam College of Engineering Coimbatore641032TamilnaduIndia SNS College of Technology Coimbatore641035TamilnaduIndia

Under various deployment circumstances,fifth-generation(5G)telecommunications delivers improved network compound management with fast communication *** to the introduction of the Internet of Things(IoT)in data management,the majority of the ultra-dense network models in 5G networks frequently have decreased spectral efficiency,weak handover management,and *** majority of traditional handover authentication models are seriously threatened,making them vulnerable to a variety of security *** authentication of networked devices is the most important ***,a model that incorporates the handover mechanism and authentication model must be *** article uses a fuzzy logic model to create a handover and key management system that focuses on cloud handover management and authentication *** order to decrease delays in 5G networks,the fuzzy logic is built with multiple criteria that aim to reduce the number of executed handovers and target cell *** simulation is run to evaluate the model’s performance in terms of latency,spatial complexity,and other metrics related to authentication attack validation.

关键词： Handover authentication mobility management fuzzy logic latency 5G IoT MATLAB 3gpp

Route planning for Autonomous Transmission of Large Sport Utility Vehicle

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Computer Systems Science & Engineering 2023年第4期45卷 659-669页

作者： V.A.Vijayakumar J.Shanthini S.Karthik K.srihari SNS College of Technology Coimbatore641035TamilnaduIndia

The autonomous driving aims at ensuring the vehicle to effectively sense the environment and use proper strategies to navigate the vehicle without the interventions of ***,there exist a prediction of the background scenes and that leads to discontinuity between the predicted and planned *** optimal prediction engine is required that suitably reads the background objects and make optimal *** this paper,the author(s)develop an autonomous model for vehicle driving using ensemble model for large Sport Utility Vehicles(SUVs)that uses three different modules involving(a)recognition model,(b)planning model and(c)prediction *** study develops a direct realization method for an autonomous vehicle *** direct realization method is designed as a behavioral model that incorporates three different modules to ensure optimal autonomous *** behavioral model includes recognition,planning and prediction modules that regulates the input trajectory processing of input video datasets.A deep learning algorithm is used in the proposed approach that helps in the classification of known or unknown objects along the line of *** model is compared with conventional deep learning classifiers in terms of recall rate and root mean square error(RMSE)to estimate its *** results on different traffic environment shows that the Ensemble Convolutional Network Reinforcement Learning(E-CNN-RL)offers increased accuracy of 95.45%,reduced RMSE and increased recall rate than existing Ensemble Convolutional Neural Networks(CNN)and Ensemble Stacked CNN.

关键词： Artificial intelligence information system security and privacy fuzzy modelling deep neural networks machine learning reinforcement learning CNN SUV

Analysis of protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks

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Big Data Mining and Analytics 2021年第2期4卷 76-83页

作者： Natarajan Yuvaraj Kannan srihari Selvaraj Chandragandhi Rajan Arshath Raja Gaurav Dhiman Amandeep Kaur St.peter’s Institute of Higher Education and Research Information Communication Technology AcademyChennai 600096India Department of Computer Science and Engineering SNS College of Engineering641107India Department of Computer Science and Engineering Jagannath Educational Health and Charitable Trust College of Engineering and TechnologyCoimbatore 641105India B.S.Abdur Rahman Crescent Institute of Science and Technology Chennai 600048India Department of Computer Science Government Bikram College of CommercePatiala 147001India Department of Computer Science and Engineering Sri Guru Granth Sahib World UniversityFatehgarh 140406India

In recent time, data analysis using machine learning accelerates optimized solutions on clinical healthcare systems. The machine learning methods greatly offer an efficient prediction ability in diagnosis system alternative with the clinicians. Most of the systems operate on the extracted features from the patients and most of the predicted cases are accurate. However, in recent time, the prevalence of COVID-19 has emerged the global healthcare industry to find a new drug that suppresses the pandemic outbreak. In this paper, we design a Deep Neural Network(DNN)model that accurately finds the protein-ligand interactions with the drug used. The DNN senses the response of protein-ligand interactions for a specific drug and identifies which drug makes the interaction that combats effectively the virus. With limited genome sequence of Indian patients submitted to the GISAID database, we find that the DNN system is effective in identifying the protein-ligand interactions for a specific drug.

关键词： Deep Neural Network(DNN) coronavirus protein-ligand interactions deep learning clinical healthcare system

ANFIS Based Space Vector Modulation-DTC for Switched Reluctance Motor Drive

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Circuits and Systems 2016年第10期7卷 2940-2947页

作者： T. srihari R. Jeyabaharath p. Veena Electrical and Electronics Engineering KSR Institute for Engineering and Technology Tiruchengode India

Direct torque control (DTC) of Switched reluctance motor is known straightforward control structure with similar execution to that of field situated control strategies. In any case, the part of ideal determination of the voltage space vector is one of the weakest focuses in a routine DTC drive because of adjustable switching frequency and high torque ripple. In this paper, ideal choice of voltage space vectors is accomplished utilizing ANFIS (Adaptive Neuro Fuzzy Inference System) with space vector Modulation. SVM-DTC gives consistent switching frequency and the proposed ANFIS controller’s structure manages the torque and stator flux error signals through the fuzzy deduction to get a yield that takes the type of space voltage vector. Simulation results accept the proposed evolutionary system with quick torque and flux reaction with minimized torque ripple and flux ripple.

关键词： ANFIS Direct Torque Control Flux Control Space Vector Modulation Switched Reluctance Motor

Influence of mass ratio and calcination temperature on physical and photoelectrochemical properties of ZnFe-layered double oxide/cobalt oxide heterojunction semiconductor for dye degradation applications

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particuology 2023年第3期74卷 141-155页

作者： Yufei Zhang Junjie Zheng Jiejie Nan Chengjie Gai Qian Shao Vignesh Murugadoss srihari Maganti Nithesh Naik Hassan Algadi Mina Huang Ben Bin Xu Zhanhu Guo College of Chemical and Biological Engineering Shandong University of Science and TechnologyQingdao266590China College of Materials Science and Engineering Taiyuan University of Science and TechnologyTaiyuan030024China Integrated Composites Laboratory(ICL) Department of Chemical and Bimolecular EngineeringUniversity of TennesseeKnoxvilleTN37996United States Department of Mechanical&Manufacturing Engineering Manipal Institute of TechnologyManipal Academy of Higher EducationManipal576104KarnatakaIndia Mechanical and Construction Engineering Faculty of Engineering and EnvironmentNorthumbria UniversityNewcastle Upon TyneNE18STUK Department of Electrical Engineering Faculty of EngineeringNajran UniversityNajran11001Saudi Arabia

A visible light-active photoelectrocatalyst,ZnFe-layered double oxide(LDO)/cobalt(II,III)oxide(Co_(3)O_(4))composites were obtained by calcining the Co loaded ZnFe-layered double hydroxide(LDH)prepared by a hydrothermal and microwave hydrothermal *** morphological studies revealed that the ZnFe-LDO/Co_(3)O_(4) composites exhibited a flower-like structure comprising Co_(3)O_(4) nanowires and ZnFe-LDO ***,when the mass ratio of Co(NO_(3))_(2)·6H_(2)O/LDH was 1:1.8 and the calcination temperature was 550℃,the ZnFe-LDO/Co_(3)O_(4) composite exhibited 93.3%degradation efficiency for methylene blue(MB)at the applied voltage of 1.0 V under visible light after 3 ***,the Mott-Schottky model experiments showed that the formation of a p-n heterojunction between ZnFe-LDO and Co_(3)O_(4) could effectively inhibit the recombination of electrons and holes in the photoelectrocatalytic ***,free radical scavenging experiments showed that the active radicals of⋅OH played an important role in the degradation of ***,the photoelectrocatalytic effect of ZnFe-LDO/Co_(3)O_(4) provides a simple and effective strategy for the removal of organic pollutants.

关键词： ZnFe-LDO/Co_(3)O_(4) photoelectrocatalytic p-n heterojunction Methylene blue

Unified total synthesis of eburnamine-vincamine indole alkaloids based on catalytic asymmetric hydrogenation/lactamization cascade

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Green Synthesis and Catalysis 2022年第3期3卷 291-293页

作者： Wen Zhang Yansong Xue srihari Konduri Guodan Lin Mengjuan Wu pei Tang Fener Chen Sichuan Research Center for Drug precision Industrial Technology West China School of PharmacySichuan UniversityChengdu 610041China Engineering Center of Catalysis and Synthesis for Chiral Molecules Department of ChemistryFudan UniversityShanghai 200433China Shanghai Engineering Center of Industrial Asymmetric Catalysis for Chiral Drugs Shanghai 200433China Skaggs School of pharmacy and pharmaceutical Science UC San Diego9500 Gilman DriveLa JollaCA 92093-0934United States

The enantioselective total synthesis of representative members of the eburnamine-vincamine alkaloids(+)-vincamine,(-)-eburnamonine,and(-)-criocerine has been *** synthesis took advantage of a highly stereoselective Ir-catalyzed hydrogenation/lactamization cascade reaction,which allows for the stereo-selective construction of the C/D rings as well as the installation of the critical cis-C20/C21 relative stereo-chemistry of the eburnamine-vincamine alkaloid skeleton in one pot.

关键词： Indole alkaloid Imine Asymmetric hydrogenation Natural product Enantioselective synthesis

Identification of Growth promoter to Fabrication SiCp/Al<sub>2</sub>O<sub>3</sub>Ceramic Matrix Composites prepared by Directed Metal Oxidation of An Al Alloy

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Journal of Minerals and Materials Characterization and Engineering 2012年第11期11卷 1063-1068页

作者： Malkapuram Devaiah Thodeti srihari Thankappan pillai Rajasekharan Ceramics & Composites Group Defence Metallurgical Research Laboratory Hyderabad India Ceramics & Composites Group Defence Metallurgical Research Laboratory Department of Mechanical Engineering Geethanjali College of Engineering & Technology Hyderabad India Department of Mechanical Engineering Shadan College of Engineering & Technology Hyderabad India

SiC particulates reinforced alumina matrix composites were fabricated using Directed Metal Oxidation (DIMOX) process. Continuous oxidation of an Al-Si-Mg-Zn alloy with different interlayers (dopents) as growth promoters, will encompasses the early heating of the alloy ingot, melting and continued heating to temperature in the narrow range of 950°C to 980°C in an atmosphere of oxygen. Varying interlayers (dopents) are incorporated to examine the growth conditions of the composite materials and to identification of suitable growth promoter. The process is extremely difficult because molten aluminum does not oxidize after prolonged duration at high temperatures due to the formation of a passivating oxide layer. It is known that the Lanxide Corporation had used a combination of dopents to cause the growth of alumina from molten metal. This growth was directed, i.e. the growth is allowed only in the required direction and restricted in the other directions. The react nature of the dopants was a trade secret. Though it is roughly known that Mg and Si in the Al melt can aid growth, additional dopents used, the temperatures at which the process was carried out, the experimental configurations that aided directed growth were not precisely known. In this paper we have evaluated the conditions in which composites can be grown in large enough sizes for evaluation application and have arrived at a procedure that enables the fabrication of large composite samples by determining the suitable growth promoter (dopant). Scanning electron microscopic, EDS analysis of the composite was found to contain a continuous network of Al2O3, which was predominantly free of grain-boundary phases, a continuous network of Al alloy. Fabrication of large enough samples was done only by the inventor company and the property measurements by the company were confirmed to those needed to enable immediate applications. Since there are a large number of variable affecting robust growth of the composite, f

关键词： Ceramic-Matrix Composites Scanning Electron Microscopy Liquid Metal Infiltration Al2O3 SiC