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Circuits and Systems 2016年第11期7卷 3670-3684页

作者： S. Saravanan k. geetha Department of Electrical and Electronics Engineering Sri Sai Ram Institute of Technology Chennai India Department of Electrical and Electronics Engineering Karpagam Institute of Technology Coimbatore India

In industrial drives, electric motors are extensively utilized to impart motion control and induction motors are the most familiar drive at present due to its extensive performance characteristic similar with that of DC drives. Precise control of drives is the main attribute in industries to optimize the performance and to increase its production rate. In motion control, the major considerations are the torque and speed ripples. Design of controllers has become increasingly complex to such systems for better management of energy and raw materials to attain optimal performance. Meager parameter appraisal results are unsuitable, leading to unstable operation. The rapid intensification of digital computer revolutionizes to practice precise control and allows implementation of advanced control strategy to extremely multifaceted systems. To solve complex control problems, model predictive control is an authoritative scheme, which exploits an explicit model of the process to be controlled. This paper presents a predictive control strategy by a neural network.predictive controller based single phase induction motor drive to minimize the speed and torque ripples. The proposed method exhibits better performance than the conventional controller and validity of the proposed method is verified by the simulation results using MATLAB software.

关键词： Dynamic Model Low Torque Ripples Neural Model Neural Network.Predictive Controller Unstable Operation Single Phase Induction Motor Variable Speed Drives

A Novel Framework.for Learning and Classifying the Imbalanced Multi-Label Data

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Computer Systems Science & Engineering 2024年第5期48卷 1367-1385页

作者： P.k.A.Chitra S.Appavu alias Balamurugan S.geetha Seifedine k.dry Jungeun k.m k.ejun Han Department of Computer Science and Engineering SRM Institute of Science and TechnologyTiruchirappalliTamil Nadu603203India Department of Computer Science and Engineering Periyar Maniammai Institute of Science&Technology(Deemed to be University)ThanjavurTamil Nadu613403India School of Computer Science and Engineering ChennaiTamil Nadu600048India Department of Applied Data Science Noroff University CollegeKristiansand4612Norway Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityP.O.Box 346AjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblos10150Lebanon Department of Software Kongju National UniversityCheonan31080Republic of Korea Division of Computer Engineering Hansung UniversitySeoul02876Republic of Korea

A generalization of supervised single-label learning based on the assumption that each sample in a dataset may belong to more than one class simultaneously is called multi-label *** main objective of this work.is to create a novel framework.for learning and classifying imbalancedmulti-label *** work.proposes a framework.of two *** imbalanced distribution of themulti-label dataset is addressed through the proposed Borderline MLSMOTE resampling method in phase ***,an adaptive weighted l21 norm regularized(Elastic-net)multilabel logistic regression is used to predict unseen samples in phase *** proposed Borderline MLSMOTE resampling method focuses on samples with concurrent high labels in contrast to conventional *** minority labels in these samples are called difficult minority labels and are more prone to penalize classification *** concurrentmeasure is considered borderline,and labels associated with samples are regarded as borderline labels in the decision *** phase II,a novel adaptive l21 norm regularized weighted multi-label logistic regression is used to handle balanced data with different weighted synthetic *** on various benchmark.datasets shows the outperformance of the proposed method and its powerful predictive performances over existing conventional state-of-the-art multi-label methods.

关键词： Multi-label imbalanced data multi-label learning Borderline MLSMOTE concurrent multi-label adaptive weighted multi-label elastic net difficult minority label

Stoichiometric Ti3C2Tx Coating for Inhibiting Dendrite Growth in Anode-Free Lithium Metal Batteries

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Energy & Environmental Materials 2024年第4期7卷 153-162页

作者： Xiangrong Zeng Manmatha Mahato Woong Oh Hyunjoon Yoo Van Hiep Nguyen Saewoong Oh geetha Valurouthu Soon-k. Jeong Chi Won Ahn Yury Gogotsi Il-k.on Oh National Creative Research Initiative for Functionally Antagonistic Nano-Engineering Department of Mechanical Engineering Korea Advanced Institute of Science and Technology (KAIST) Department of Materials Science & Engineering and A. J. Drexel Nanomaterials Institute Drexel University Department of Energy Engineering Soonchunhyang University National Nanofab Center (NNFC) Korea Advanced Institute of Science and Technology (KAIST)

Lithium metal batteries (LMBs) and anode-free LMBs (AFLMBs) present a solution to the need for batteries with a significantly superior theoretical energy ***,their adoption is hindered by low Coulombic efficiency (CE) and rapid capacity fading,primarily due to the formation of unstable solid electrolyte interphase (SEI) layer and Li dendrite growth as a result of uneven Li plating.

关键词： anode-free lithium metal batteries stoichiometric MXene solid electrolyte interphase surface terminations

Role of Ag microalloying on glass forming ability and crystallization k.netics of ZrCoAgAlNi amorphous alloy

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Chinese Physics B 2021年第1期30卷 471-476页

作者： A Surendar k.geetha C Rajan M Alaazim Department of Pharmacology Saveetha Dental College and HospitalSaveetha Institute of Medical and Technical SciencesChennaiIndia CSE Excel Engineering CollegePallakapalayamKomarapalayam637303India IT K S Rangasamy College of Technology TiruchengodeNamakkalTamil Nadu 637215India Faculty of Engineering Universitas Muhammadiyah Surakarta(UMS)Indonesia

Bulk.metallic glasses(BMGs) with new chemical compositions(ZrCoAgAlNi) were fabricated and the effects of Ag minor addition on the glass forming ability(GFA) and crystallization k.netics were studied. The x-ray diffraction(XRD) test was applied to identify the amorphousness of BMGs or possible crystalline phases. Using differential scanning calorimeter(DSC), the thermal stability and crystallization k.netics under a non-isothermal condition at the different heating rates were studied. Considering the heating rate dependency of glass transition and crystallization k.netics, the activation energy was evaluated and measured for the mentioned processes. It was revealed that the rise in Ag content led to the decrease in activation energy for glass transition, while the activation energy for crystallization increased. The thermal stability and GFA were also studied and it was found that the Ag addition strongly affected the inherent features of BMGs. With the increase in Ag content, the atomic mobility and structural rearrangement changed in the material and consequently, the GFA and thermal stability were significantly improved.

关键词： bulk.metallic glass materials design crystallization k.netics glass forming ability

Role of fecal microbiota transplant in management of hepatic encephalopathy: Current trends and future directions

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World Journal of Hepatology 2024年第1期16卷 17-32页

作者： Yash R Shah Hassam Ali Angad Tiwari David Guevara-Lazo Natalia Nombera-Aznaran Bhanu Siva Mohan Pinnam Manesh k.mar Gangwani Harishank.r Gopak.mar Amir H Sohail SriLak.hmiDevi k.numilli Ernesto Calderon-Martinez geetha k.ishnamoorthy Nimish Thak.al Dushyant Singh Dahiya Department of Internal Medicine Trinity Health Oakland/Wayne State UniversityPontiacMI 48341United States Division of Gastroenterology and Hepatology East Carolina University/Brody School of MedicineGreenvilleNC 27858United States Department of Internal Medicine Maharani Laxmi Bai Medical CollegeJhansi 284001India Faculty of Medicine Universidad Peruana Cayetano HerediaLima 15102Peru Department of Internal Medicine John H.Stroger Hospital of Cook CountyChicagoIL 60612United States Department of Internal Medicine The University of ToledoToledoOH 43606United States Department of Gastroenterology and Hepatology University of Illinois College of Medicine at PeoriaPeoriaIL 61605United States Department of Surgery University of New MexicoAlbuquerqueNM 87106United States Department of Internal Medicine GSL Medical CollegeRajamahendravaram 533296India Department of Internal Medicine Universidad Nacional Autonoma de MexicoCiudad De Mexico 04510Mexico Department of Digestive Diseases and Nutrition University of KentuckyLexingtonKY 40536United States Division of Gastroenterology Hepatology&MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States

Fecal microbiota transplantation(FMT)offers a potential treatment avenue for hepatic encephalopathy(HE)by leveraging beneficial bacterial displacement to restore a balanced gut *** prevalence of HE varies with liver disease severity and *** pathogenesis involves ammonia toxicity,gut-brain communication disruption,and *** aims to restore gut microbiota balance,addressing these ***'s efficacy has been explored in various conditions,including *** suggest that FMT can modulate gut microbiota,reduce ammonia levels,and alleviate *** has shown promise in alcohol-associated,hepatitis B and C-associated,and non-alcoholic fatty liver *** include improved liver function,cognitive function,and the slowing of disease ***,larger,controlled studies are needed to validate its effectiveness in these *** have shown cognitive improvements through FMT,with potential benefits in cirrhotic ***,trials have demonstrated reduced serious adverse events and cognitive enhancements in FMT arms compared to the standard of *** evidence is promising,challenges remain:Limited patient numbers,varied dosages,administration routes,and donor *** large-scale,controlled trials are essential to establish standardized guidelines and ensure FMT's clinical applications and *** FMT holds potential for HE management,ongoing research is needed to address these challenges,optimize protocols,and expand its availability as a therapeutic option for diverse hepatic conditions.

关键词： Hepatic encephalopathy Fecal microbiota transplant Cognitive impairment Liver cirrhosis Chronic liver disease

Comparative analysis of entanglement measures based on monogamy inequality

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Chinese Physics B 2017年第5期26卷 52-59页

作者： P J geetha Sudha k.S Mallesh Department of Physics Kuvempu University Shankaraghatta Shimoga-577 451 India Inspire Institute Inc. Alexandria Virginia 22303 USA Department of Studies in Physics University of Mysore Mysore-570 006 India

We evaluate the monogamy inequality for symmetric, non-symmetric pure states of importance in terms of squared concurrence, squared entanglement of formation, squared negativity of partial transpose and compare the corresponding tangles. We show that though concurrence and concurrence tangle are zero for two special classes of mixed entangled states, both negativity tangle and entanglement of formation（EOF） tangle turn out to be non-zero. A comparison of different tangles is carried out in each case and it is shown that while the concurrence tangle captures the genuine multiqubit entanglement in N-qubit pure states with N distinct spinors（containing GHZ and superposition of W-, obverse W states）either negativity tangle or EOF tangle is to be used as a better measure of entanglement in the W-class of states with two distinct spinors and in the special classes of mixed multiqubit states.

关键词： entanglement tangle negativity superposition inequality entangled symmetric vanishing squared arbitrary

Green mediated synthesis of lanthanum doped zinc oxide:Study of its structural,optical and latent fingerprint application

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Journal of Rare Earths 2020年第12期38卷 1281-1287页

作者： H.N.Shivananjaiah k.Sailaja k.mari M.S.geetha Government Science College Nrupatunga RoadBangalore560001India Base Educational Services BasavanagudiBangalore560004India

The present paper summarises the synthesis of La3+doped zinc oxide nanoparticles using Aloe vera gel by solution combustion method and the characterization using a powder X-ray diffractometer(PXRD),a transmission electron microscope(TEM),an X-ray photometric spectrometer(XPS),a Raman spectrometer and their applications in optical devices and latent *** pattern confirms the crystallite size of La3+doped ZnO varies from 13 to 20 *** size varies inversely with doping *** properties are found to be the maximum for 2 mol% doping *** spectra extends the use of ZnO:La3+nanoparticles in blue green *** nanoparticles also have superior property as a fluorescent labels in fingerprints.

关键词： Green synthesis Nanostructures Photoluminescence Latent fingerprinting Rare earths

Dust Deposition’s Effect on Solar Photovoltaic Module Performance:An Experimental Study in India’s Tropical Region

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Journal of Renewable Materials 2022年第8期10卷 2133-2153页

作者： k.R.Chairma Lak.hmi geetha Ramadas Department of Electrical and Electronics Engineering R.M.K.Engineering CollegeChennaiIndia

A solar PV panel work. with maximum efficiency only when it is operated around its optimum operating point or maximum power ***,the performance of the solar cell is affected by several factors lik. sun direction,solar irradiance,dust accumulation,module temperature,as well as the load on the *** deposition is one of the most prominent factors that influence the performance of solar *** the solar panel is exposed to the atmosphere,dust will accumulate on its surface,reducing the quantity of sunlight reaching the solar cell and diminishing *** the proposed work.a detailed investigation of the performance of solar PV modules is carried out under the tropical climatic condition of Chennai,India,where the presence of dust particles is very *** data corresponding to four different dust samples of various densities at four solar irradiation levels of 220,525,702,and 905 W/m^(2)are collected,and performance analysis is carried *** on the analysis carried out,the maximum power loss is found to be 73.51%,66.29%,65.46%,and 61.42%,for coal,sand,brick.powder,and chalk.dust ***,it can be said that coal dust contributes to the maximum power loss among all four dust *** to heat dissipation produced by dust deposition,the performance of solar PV modules is degraded as the temperature rose.

关键词： Solar photovoltaic power generation system dust effect electrical efficiency loss dust samples surface contamination

Monogamous nature of symmetric N-qubit states of the W class: Concurrence and negativity tangle

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Chinese Physics B 2015年第11期24卷 85-91页

作者： P.J.geetha k.O.Yashodamma Sudha Department of Physics Kuvempu University Inspire Institute Inc.

Using Majorana representation of symmetric N-qubit pure states, we have examined the monogamous nature of the family of states with two-distinct spinors, the W class of states. We have evaluated the N-concurrence tangle and showed that all the states in this family have vanishing concurrence tangle. The negativity tangle for the W class of states is shown to be non-zero, illustrating the fact that the concurrence tangle is always lesser than or equal to the negativity tangle in a pure N-qubit state.

关键词： monogamy of quantum entanglement Majorana representation of symmetric pure states concur-rence tangle negativity tangle

Stack.ng Ensemble Learning-Based Convolutional Gated Recurrent Neural Network.for Diabetes Miletus

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Intelligent Automation & Soft Computing 2023年第4期36卷 703-718页

作者： G.geetha k.Mohana Prasad Sathyabama Institute of Science and Technology 603202TamilnaduIndia SRM Institute of Science and Technology 603202TamilnaduIndia

Diabetes mellitus is a metabolic disease in which blood glucose levels rise as a result of pancreatic insulin production *** causes hyperglycemia and chronic multiorgan dysfunction,including blindness,renal failure,and cardi-ovascular disease,if left *** of the essential check. that are needed to be performed frequently in Type 1 Diabetes Mellitus is a blood test,this procedure involves extracting blood quite frequently,which leads to subject discomfort increasing the possibility of infection when the procedure is often ***-ing methods used for diabetes classiﬁcation have less classiﬁcation accuracy and suffer from vanishing gradient problems,to overcome these issues,we proposed stack.ng ensemble learning-based convolutional gated recurrent neural network.CGRNN)Metamodel *** proposed method initially performs outlier detection to remove outlier data,using the Gaussian distribution method,and the Box-cox method is used to correctly order the *** the outliers’detec-tion,the missing values are replaced by the data’s mean rather than their *** the stack.ng ensemble base model,multiple machine learning algorithms lik. Naïve Bayes,Bagging with random forest,and Adaboost Decision tree have been *** Meta model uses two hidden layers Long-Short-Time Memory(LSTM)and Gated Recurrent Unit(GRU)to calculate the weight matrix for diabetes ***,the calculated weight matrix is passed to the soft-max function in the output layer to produce the diabetes prediction *** using LSTM-based CG-RNN,the mean square error(MSE)value is 0.016 and the obtained accuracy is 91.33%.

关键词： Diabetes mellitus convolutional gated recurrent neural network Gaussian distribution box-cox predict diabetes