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Analysis of Efficient 32 Bit Adder Using Tree Grafting Technique

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Intelligent Automation & Soft Computing 2023年第1期35卷 1197-1209页

作者： r.Gowrishankar N.sathish Kumar KIT-Kalaignarkarunanidhi Institute of Technology Coimbatore641402TamilnaduIndia Sri ramakrishna Engineering College Coimbatore641022TamilnaduIndia

Adder with high efficiency and accuracy is the major requirement for electronic circuit design.Here the optical logic gate based adder circuit is designed for better performance analysis of optical input signals varied with the wavelength.Efficiency of the adder can be improved by increasing the speed of operation,reducing the complexity and power consumption.To maintain the high efficiency with accuracy,a new combination of adder has been proposed and tested in this work.A new adder by combining the logics of Brent Kung,Sklansky and Kogge Stone adders by Tree Grafting Technique(BSKTGT)has been tested along with individual Brent Kung,Sklansky,Kogge Stone,Knowles,Han Carlson and Ladner Fischer adders.All the existing and proposed adders have been designed and tested for efficiency with the help of Cadence platform with 45 nm technology.Efficiency in terms of Size reduction,Power reduction,Power Delay Product(PDP)and accuracy in adding 8 bit,16 bit and 32 bit values had been tested for all the adders and found that the 32 bit BSKTGT adder performed well in all aspects and have produced better efficiency with the power consumption of 52.512426μW with 3.16%of power saving over Brent Kung adder,utilised an area of 631.191 with 8.55%reduction over Kogge Stone Adder,has the cell count of 132 which is 10.61%reduction over Brent Kung Adder and PDP value of 122.6695 J,which is 0.46%less than that of the Han Carlson Adder.

关键词： Design automation computer integrated manufacturing autonomous control communication engineering

Evolution of World Journal of Clinical Cases over the past 5 years

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World Journal of Clinical Cases 2022年第24期10卷 8432-8435页

作者： sathish Muthu Department of Orthopaedics Government Medical CollegeDindigul 624001Tamil NaduIndia Orthopaedic research Group Coimbatore 641045Tamil NaduIndia Department of Biotechnology Sharda UniversityNew Delhi 201310Uttar PradeshIndia

Analysis of the articles published in any journal is necessary to ascertain the performance of the journal in the academia.The author made a scientometric analysis of the articles published in the World Journal of Cli... 详细信息

关键词： World Journal of Clinical Cases Scientific journal research publication Keywords Scientometrics Trend analysis

sp^(2)碳用于3D打印技术综述:材料、性能和应用

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新型炭材料（中英文） 2022年第6期37卷 1046-1065页

作者： Satendra Kumar Manoj Goswami Netrapal Singh sathish Natarajan Surender Kumar Academy of Scientific and Innovative research(AcSIr) Ghaziabad 201002India CSIr-Advanced Materials and Processes research Institute(AMPrI) Bhopal 462026India

3D打印可以改变现有的生产方法,是第四次工程革命中的一项现代技术。它从成型原理上提出了分层制造、逐层叠加成型的新颖生产方法,从根本上简化了制造工艺,实现了大规模定制生产。然而,这一新技术仍存在许多问题。除了纯石墨烯外,sp^(2... 详细信息

3D打印可以改变现有的生产方法,是第四次工程革命中的一项现代技术。它从成型原理上提出了分层制造、逐层叠加成型的新颖生产方法,从根本上简化了制造工艺,实现了大规模定制生产。然而,这一新技术仍存在许多问题。除了纯石墨烯外,sp^(2)碳具有好的亲水性,3D打印难度较小。sp^(2)碳还可在3D打印中的各种阶段应用。纯石墨烯的疏水性使其难以在水系介质中打印和加工。毛细管油墨的发展使得纯石墨烯的3D打印成为可能。本文综述了sp^(2)碳的3D打印技术的最新进展。首先简要概述了3D打印技术,随后概述了sp^(2)碳的3D打印及其在各种方面的应用。最后,讨论了这一新领域的发展前景和机遇。

关键词： 3D打印技术 sp^(2)碳碳基复合材料应用

I-Quiz:An Intelligent Assessment Tool for Non-Verbal Behaviour Detection

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Computer Systems Science & Engineering 2022年第3期40卷 1007-1021页

作者： B.T.Shobana G.A.sathish Kumar Department of Information Technology Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Electronics and Communication Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India

Electronic learning(e-learning)has become one of the widely used modes of pedagogy in higher education today due to the convenience and flexibility offered in comparison to traditional learning activities.Advancements in Information and Communication Technology have eased learner connectivity online and enabled access to an extensive range of learning materials on the World Wide Web.Post covid-19 pandemic,online learning has become the most essential and inevitable medium of learning in primary,secondary and higher education.In recent times,Massive Open Online Courses(MOOCs)have transformed the current education strategy by offering a technology-rich and flexible form of online learning.A key component to assess the learner’s progress and effectiveness of online teaching is the Multiple Choice Question(MCQ)assessment in most of the MOOC courses.Uncertainty exists on the reliability and validity of the assessment component as it raises a qualm whether the real knowledge acquisition level reflects upon the assessment score.This is due to the possibility of random and smart guesses,learners can attempt,as MCQ assessments are more vulnerable than essay type assessments.This paper presents the architecture,development,evaluation of the I-Quiz system,an intelligent assessment tool,which captures and analyses both the implicit and explicit non-verbal behaviour of learner and provides insights about the learner’s real knowledge acquisition level.The I-Quiz system uses an innovative way to analyse the learner non-verbal behaviour and trains the agent using machine learning techniques.The intelligent agent in the system evaluates and predicts the real knowledge acquisition level of learners.A total of 500 undergraduate engineering students were asked to attend an on-Screen MCQ assessment test using the I-Quiz system comprising 20 multiple choice questions related to advanced C programming.The non-verbal behaviour of the learner is recorded using a front-facing camera during the entire assessment period.The resultant datase

关键词： E-Learning adaptive and intelligent e-learning systems intelligent tutoring systems emotion recognition non-verbal behaviour knowledge acquisition level

Osteoarthritis,an old wine in a new bottle!

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World Journal of Orthopedics 2023年第1期14卷 1-5页

作者： sathish Muthu Department of Orthopaedics Government Medical CollegeDindigul 624001India Department of Orthopaedics Orthopaedic Research GroupCoimbatore 641045Tamil NaduIndia School of Engineering and Technology Sharda UniversityGreater Noida 201310Uttar PradeshIndia

Osteoarthritis(OA)is the most common form of arthritis that has a major impact on patient morbidity and health care services.Despite its prevalence and impact,we do not have any effective management strategy to prevent or control their manifestations.Several decades of pharmacological development have failed to deliver a disease-modifying solution to OA.This editorial article outlines the lacunae in the research efforts of the past,the challenges that we are facing at present,and the exciting opportunities we have in the future for the management of OA.OA research has to be made more personalized concerning the phenotypic and endotypic disease variants.To begin with,robust disease classification criteria need to be defined for early OA,and biomarkers to detect such early diseases to aid in patient stratification.We also need to refine our clinical research design to make them more objective to meet the demands of the patient and the regulatory agencies.Embracing the current technologies such as artificial intelligence along with the use of genomic profiling from the omics platforms,the future of OA is more promising in developing appropriate management of OA.

关键词： Osteoarthritis Management Phenotypes Endotypes Theratypes

Indian Traditional Treatments for Psoriasis:A Critical Appraisal of Available Evidence Supporting Efficacy

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Chinese Journal of Integrative Medicine 2023年第1期29卷 69-73页

作者： Nayak Deeksha Dayanand Arul Amuthan sathish Pai Ballambat Shama Prasada Kabbekodu Vasudha Devi Department of Pharmacology Kasturba Manipal Medical CollegeManipal Academy of Higher EducationManipal576104India Department of Dermatology Venerology and LeprosyKasturba Medical CollegeManipal Academy of Higher EducationManipal576104India Department of Cell and Molecular Biology Manipal School of Life SciencesManipal Academy of Higher EducationManipal576104India Centre for Cardiovascular Pharmacology Manipal Academy of Higher EducationManipal576104India

Objective To examine data from studies supporting the clinical efficacy of medical approaches from India traditional systems of medicines like Ayurveda,Unani,Siddha,and Homeopathy for psoriasis using outcome indicators employed in clinical practice and research.Methods Searches were conducted between December 2019 and September 2020 in databases PubMed,Scopus,Web of Science and Ovid Medline using search terms including traditional,complementary,psoriasis,Kushtha,Ayurveda,Siddha,Unani,Homeopathy and clinical.Controlled trials,case series and case reports published from India were included.results Data of 17 selected studies were extracted.Treatment efficacy in terms of improvement in Psoriasis Area and Severity Index(PASI)score or/and percentage reduction in score(PASI 50,PASI 75 and PASI 90)or/and patient-reported outcomes using instruments like Dermatology Life Quality Index and Psoriasis Disability Index were noted.All studies reported good improvement as per the study specific outcome.However,study characteristics,including study design,sample size,follow-up period,inclusion and exclusion criteria were heterogeneous,and the choice of outcome measures was not adequate to conclude the effectiveness of intervention.The use of some herbs as common ingredients in several formulations across different systems of medicines were noted in analyzing individual formulation.Conclusions Future studies must incorporate a comprehensive study design with specific outcome measures like PASI,PASI 75,PASI 90,quality of life parameters,compliance to medications,adverse reactions,remission period,relapse rate and cost-effectiveness with long term follow-up.The currently available evidence on the roles of these herbs at molecular level in psoriasis is preliminary.

关键词： psoriasis traditional treatment Indian efficacy herb clinical

Tuna classification using super learner ensemble of region-based CNN-grouped 2D-LBP models

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Information Processing in Agriculture 2022年第1期9卷 68-79页

作者： Jisha Anu Jose C.sathish Kumar S.Sureshkumar rajiv Gandhi Institute of Technology KottayamIndia Government Engineering College IdukkiIndia Kerala University of Fisheries and Ocean Studies KochiIndia

Tuna is superior among the marine fishes that are exported in the forms of raw fish and processed food.Separation of Tuna into their species is done in industries manually,and the process is tiresome.This work proposes an automated system for classifying Tuna spe-cies based on their images.An ensemble of region-based deep neural networks is used.A sub region contrast stretching operation is applied to enhance the images.Each fish image is then divided into three regions and is augmented before giving as input to pre-trained convolutional neural networks(CNN).After fine-tuning the models,the output from the last convolutional layer is given to a grouped 2D-local binary pattern descriptor(G2DLBP).Statistical features from the descriptor are applied to different classifiers,and the best clas-sifier for each image region model is identified.Different ensemble methods are subse-quently used to combine the three CNN-G2DLBP models.Among the ensemble techniques,super learner ensemble method with random forest(rF)classifier using 5-fold cross-validation shows the highest classification accuracy of 97.32%.The perfor-mance of different ensemble methods is analyzed in terms of accuracy,precision,recall,and f-score.The proposed system shows an accuracy of 93.91% when evaluated with an independent test dataset.An ensemble of region-based CNN with textural features from G2DLBP is applied for the first time for fish classification.

关键词： Tuna classification Convolutional neural network Grouped 2D-local binary pattern Super learner ensemble

等离子喷涂制备Al_2O_3,ZrO_2,Al_2O_3/ZrO_2和ZrO_2/Al_2O_3涂层的腐蚀性能（英文）

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中国有色金属学报：英文版 2016年第5期26卷 1336-1344页

作者： S.sathish M.GEETHA Department of Mechanical Engineering Aalim Muhammed Salegh College of Engineering School of Mechanical and Building Sciences VIT University

采用大气等离子喷涂技术在低碳钢表面制备Al_2O_3、ZrO_2、ZrO_2/Al_2O_3和Al_2O_3/ZrO_2涂层。利用扫描电镜(SEM)和X射线衍射(XrD)技术对涂层的显微组织和相组成进行分析,采用极化、盐雾和浸泡等实验手段对涂层在3.5%NaCl溶液中的腐蚀... 详细信息

采用大气等离子喷涂技术在低碳钢表面制备Al_2O_3、ZrO_2、ZrO_2/Al_2O_3和Al_2O_3/ZrO_2涂层。利用扫描电镜(SEM)和X射线衍射(XrD)技术对涂层的显微组织和相组成进行分析,采用极化、盐雾和浸泡等实验手段对涂层在3.5%NaCl溶液中的腐蚀行为进行研究。结果表明,双层Al_2O_3/ZrO_2涂层比另外三种涂层具有更好的抗腐蚀性能,这主要归因于该涂层中非常少的内联孔洞和稳定的相组成。

关键词：双层涂层 Al2O3 ZrO2 大气等离子喷涂腐蚀

Power system reconfiguration and loss minimization for a distribution systems using ＂Catfish PSO＂ algorithm

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Frontiers in Energy 2014年第4期8卷 434-442页

作者： K sathish KUMAr S NAVEEN School of Electrical Engineering VIT University Vellore 632014 India

One of the very important ways to save electrical energy in the distribution system is network reconfiguration for loss reduction. Distribution networks are built as interconnected mesh networks; however, they are arranged to be radial in operation. The distribution feeder reconfiguration is to find a radial operating structure that optimizes network performance while satisfying operating constraints. The change in network configuration is performed by opening sectionalizing （normally closed） and closing tie （normally opened） switches of the network. These switches are changed in such a way that the radial structure of networks is maintained, all of the loads are energized, power loss is reduced, power quality is enhanced, and system security is increased. Distribution feeder reconfiguration is a complex nonlinear combinator- ial problem since the status of the switches is non- differentiable. This paper proposes a new evolutionary algorithm （EA） for solving the distribution feeder reconfiguration （DFr） problem for a 33-bus and a 16- bus sample network, which effectively ensures the loss minimization.

关键词： distribution system reconfiguration （DFr）,power loss reduction catfish particle swarm optimization（catfish PSO） radial structure