Fabrication of cobalt oxide@cellulose/nitrogen doped carbon nanotubes decorated metal organic frameworks composite for symmetric supercapacitor applications
Cellulose (CE); Cobalt oxides; Composite; Hydrothermal process; Nitrogen doped MWCNT; Symmetric supercapacitor (SSC); Zeolite imidazole frame work (ZIF-67)
The two main issues facing the world's population now are energy storage needs and environmental protection. A lot of work has gone into creating electrochemical energy storage using chemical processes and a variety of possible electrode active materials. Supercapacitors, which are energy storage devices with a unique structure and morphology of cellulose materials for green energy resource. In this regard, solid state hydrothermal process is used to fabricate Co3O4@Cellulose (CE), Co3O4@CE/N-MWCNT, and Co3O4@CE/N-MWCNT/ZIF-67 composite materials. XRD, XPS, BET, and HR-TEM analyses verified the structural, surface, and morphological analysis. The electrochemical studies by a three- and two-electrode fabrication in presence of 1M KOH electrolyte for supercapacitor applications. When 1M KOH electrolyte is present, the fabricated Co3O4@CE/N-MWCNT/ZIF-67composite electrode displayed exceptional cyclic stability and a specific capacitance of ?835 F g?1 at 1 A/g. The constructed composite electrodes of Co3O4, Co3O4@CE, and Co3O4@CE/N-MWCNT have specific capacitances of 263, 406, and 576 F g?1 at 1 A/g, respectively, which improves electrochemical properties using a three-electrode design. The Co3O4@CE-N-MWCNT/ZIF-67//1MKOH/SSC composite is produced using two electrode configurations. The final material showed a capacitance of 258 F g?1 at 1 A/g, a capacitance retention of 84.95 % across 8000 cycles, and an energy density of 30.99 W h kg?1 at a power density of 5409 W kg?1. Hence, the composite electrodes that have been produced have the potential to be used in electrochemical systems. 2025 Elsevier B.V.
Ramesh S.; Rabani I.; Indumathi T.; Yadav H.M.; Selvaraj M.; Pai Sunajadevi K.R.; Seo Y.-S.; Kim J.-H.; Kim H.S.
https://doi.org/10.1016/j.jpowsour.2025.236288 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215841391&doi=10.1016%2fj.jpowsour.2025.236288&partnerID=40&md5=19abb4f404e2e3a3a3d8598da2d25786
Ramesh S., Department of Mechanical, Robotics and Energy Engineering, Dongguk University, 30, Pil-dong, Jung-gu, Seoul, 04620, South Korea; Rabani I., Interface Lab, Department of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul, 05006, South Korea; Indumathi T., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Yadav H.M., School of Nanoscience and Bio-Technology, Shivaji University, Kolhapur, 416004, India; Selvaraj M., Department of Chemistry, Faculty of Science, King Khalid University, Abha, 61413, Saudi Arabia, Research Center for Advanced Materials Science (RCAMS), King Khalid University, PO.Box 9004, Abha, 61413, Saudi Arabia; Pai Sunajadevi K.R., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Seo Y.-S., Interface Lab, Department of Nanotechnology and Advanced Materials Engineering, Sejong University, Seoul, 05006, South Korea; Kim J.-H., Department of Mechanical Engineering, Inha University, Inha-ro,100, Namgu, Incheon, 22212, South Korea; Kim H.S., Department of Mechanical, Robotics and Energy Engineering, Dongguk University, 30, Pil-dong, Jung-gu, Seoul, 04620, South Korea
Effect of the Process Parameters on Machining of GFRP Composites for Different Conditions of Abrasive Water Suspension Jet Machining
Abrasive; Composites; GFRP; Machining; Suspension jet; Water
The selection of parameters for abrasive water suspension jet (AWSJ) machining of GFRP composites is a major aspect to be considered for optimizing the process. Generally, machining of plastics, polymer matrix composites are accomplished by the AWSJ machining carried out in the presence of atmospheric air; however, the existence of air around the AWSJ may lead to expansion of jet which results in increase in the kerf width and surface roughness; thus to overcome this drawback, an effort has been made in the current work to compare the effect of different process parameters on kerf width and surface roughness while using AWSJ techniques for machining glass fibre-reinforced plastic composite submerged in water. The exploratory outcomes have herewith validated the fact that the surface roughness and kerf width diminishes in under water machining when contrasted with that of free air machining; this is majorly attributed to the fact that the jet diameter reduces in under water AWSJ machining, thereby reducing the kerf width and surface roughness for optimized values of the parameters of speed, feed and standoff distance. Further, the experimental trials have clearly shown that the AWSJ machining used with an optimized set of parameters yields better machining capabilities as compared to abrasive water jet machining. 2019, King Fahd University of Petroleum & Minerals.
Ramesha K.; Santhosh N.; Kiran K.; Manjunath N.; Naresh H.
Arabian Journal for Science and Engineering, Vol-44, No. 9, pp. 7933-7943.
https://doi.org/10.1007/s13369-019-03973-w https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068327211&doi=10.1007%2fs13369-019-03973-w&partnerID=40&md5=5b9737d2eccc43ae65fb4c8dab7d1a14
Ramesha K., Department of Mechanical Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Santhosh N., Department of Mechanical Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Kiran K., Department of Mechanical Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Manjunath N., Department of Humanities and Basic Sciences, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Naresh H., Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumkur, Karnataka, India
Corrosion Characterization of Friction Stir Weld Dissimilar Aluminium Alloy Joints
Aluminium Alloys; Characterization; Corrosion; Dissimilar; Friction Stir Welding; Potentiodynamic
The course of contact mix welding is quick acquiring conspicuousness in aviation, marine and car industry because of its benefits as far as mechanical strength, effect and hardness characteristics. There is as yet a requirement for sure fire consideration from the exploration local area to erosion in grating mix welding zones, hence the work introduced here centres around the consumption portrayal of the grinding mix weld divergent aluminium composite. This study looks into friction stir welding under various parametric settings and shows how corrosion happens in a sodium chloride electrolytic media under potentio-dynamic conditions. The friction stir weld joints of dissimilar alloys aluminium are constructed using three sets of parameters. Straight cylinder, taper cylinder, and straight triangular tool profiles; tool rotational speeds of 800, 1000, and 1200 rpm; tool feed rates of 100, 120, and 140 mm/min; and tool offsets of 0.5, 0 mm, and-1.5 mm. The corrosion current (Icorr) reduces as tool rotating speed increases up to 1200 rpm, after which it slightly increases due to the creation of ridges all around the periphery of the friction stir weld area. 2022, Books and Journals Private Ltd.. All rights reserved.
Journal of Mines, Metals and Fuels, Vol-70, No. 8, pp. 16-22.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.18311/jmmf/2022/32003 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167331395&doi=10.18311%2fjmmf%2f2022%2f32003&partnerID=40&md5=3091e871125e95ee1e755584f852b98e
Ramesha K., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Santhosh N., Dept.of Mech.Engg, MVJ College of Engg, Karnataka, Bengaluru, India; Naresh H., Dept.of Mech.Engg, Siddaganga Institute of Technology, Karnataka, Tumakuru, India
Friction Stir Welding of Dissimilar Aluminium Alloys for Vehicle Structures
Aerospace; Design of experiments; Friction stir welding; Machining; Optimization; Taguchi technique
Welding process in vehicle structures has gained importance, especially for better strength and mechanical properties. Hence, there is vast research going on in the domain of newer welding techniques. Friction Stir Welding (FSW) is one of them. FSW is used in this research to join two different grades of aluminium alloys by varying the process parameters. The process parameters are optimized based on the Design of Experiments (DoE) and the Taguchi techniques. From the experimental findings for different process parameters, the optimized set of conditions involving the normal, transverse forces and the torque are determined. Further, the process methodology is validated. 2022, MechAero Found. for Techn. Res. and Educ. Excellence. All rights reserved.
Ramesha K.; Sudersanan P.D.; Gowda A.C.; Santhosh N.; Jangam S.; Manjunath N.
International Journal of Vehicle Structures and Systems, Vol-14, No. 1, pp. 5-9.
MechAero Found. for Techn. Res. and Educ. Excellence
https://doi.org/10.4273/ijvss.14.1.02 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124161142&doi=10.4273%2fijvss.14.1.02&partnerID=40&md5=0d31a08e3e4f8b8ce5140b66dbcce8e2
Ramesha K., Dept. of Mech. and Automobile Engg, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Sudersanan P.D., Dept. of Mech. and Automobile Engg, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Gowda A.C., Dept. of Mech. Engg., Visvesvaraya Tech. University, Karnataka, Muddenahalli, India; Santhosh N., Dept. of Mech. Engg., MVJ College of Engg., Karnataka, Bengaluru, India; Jangam S., Dept. of Mech. and Automobile Engg, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Manjunath N., Dept. of Sci. and Humanities Engg, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Influence of heat treatment on the tensile and hardness characteristics of friction stir weld joints of dissimilar aluminium alloys
Aluminium; Friction; Heat; Post; Stir; Treatment; Welding
Friction stir welding (FSW) is a solid-state low energy input welding technique. Most capable of joining very high strength alloys, which are finding wide range of applications in automobile and aerospace components. The current research focuses on the influence of post weld heat treatment on mechanical properties of friction stir weld joints of AA 7075 and AA 5052 dissimilar aluminum alloys. The trial experiments have been carried out using design of experiments (L16 Orthogonal Array) and the optimized process parameters have been selected based on the maximum hardness and the corresponding ultimate tensile strength (UTS). Further, the friction stir welding is accomplished with optimized process parameters (L9 Experimental trial) viz., the feed rate of 100?mm/min, tool rotational speed of 1200?rpm, tool offset of (-) 0.5?mm and using a cylindrical taper pin tool profile. The post heat treatment has been carried out on the friction stir weld joints obtained using the optimized parameters and the mechanical properties of the L9 Heat Treated (L9 - HT) and L9 - Non Heat Treated (L9 - NHT) specimens have been compared. The results shows that the post heat treated weld joints have higher micro hardness and tensile strength compared to the non-heat-treated weld joints. This is majorly attributed to recrystallization and elimination of voids due to the change in the microstructure of the weld joint. 2022 Author(s).
Ramesha K.; Sudersanan P.D.; Mahto P.K.; Ismail S.M.; Gowda A.C.; Santhosh N.; Umesh V.
Ramesha K., Department Of Mechanical Engineering, Dr. T Thimmaiah Institute Of Technology, Kolar Gold Fields, Karnataka, India, Department Of Mechanical And Automobile Engineering, Christ (Deemed To Be University), Karnataka, Bengaluru, India; Sudersanan P.D., Department Of Mechanical Engineering, Dr. T Thimmaiah Institute Of Technology, Kolar Gold Fields, Karnataka, India; Mahto P.K., Department Of Mechanical And Automobile Engineering, Christ (Deemed To Be University), Karnataka, Bengaluru, India; Ismail S.M., Department Of Mechanical And Automobile Engineering, Christ (Deemed To Be University), Karnataka, Bengaluru, India; Gowda A.C., Department Of Pg Studies, Visvesvaraya Technological University, Karnataka, Muddenahalli, India; Santhosh N., Department Of Mechanical Engineering, Mvj College Of Engineering, Karnataka, Bengaluru, India; Umesh V., Department Of Mechanical And Automobile Engineering, Christ (Deemed To Be University), Karnataka, Bengaluru, India
Design and optimization of the process parameters for friction stir welding of dissimilar aluminium alloys
Aluminium; Design; Friction; Optimization; Stir; Welding
Friction Stir Welding (FSW) is one of the unique solid state welding technique that is fast gaining importance because of its ability to produce strong joints. The friction stir welding technique is effectively used in this research to join 5 mm thick dissimilar aluminium alloys of AA 7075-O and AA 5052-O grade. The effect of tool pin profile and tool rotational speed on the mechanical properties like micro-hardness and tensile strength are studied by the optimized Design of Experiments (DOE). The experiments are designed based on L16 orthogonal array considering TAGUCHI techniques for four design parameters and four parametric levels. The outcomes of experimental techniques are tabulated and TAGUCHI analysis, Analysis of Variance (ANOVA) are carried out in Minitab software. From the experimental results and statistical techniques, the methodology is validated and the outcomes of the experiments are found to be in close agreement with the statistical results with the error less than 5% of the mean difference value. The optimized process parameters for better micro hardness are as follows: tool rotational speed of 1200 rpm, feed of 120 mm/min, tool offset of 1 mm, and cylindrical tapered pin tool profile; while the optimized design of process parameters for better tensile strength are as follows: tool rotational speed of 1400 rpm, feed of 120 mm/min, tool offset of 1 mm and cylindrical tapered pin profile. The design and optimization of the process parameters for friction stir welding of dissimilar aluminium alloys is necessary for high strength weld joints. 2021, Paulus Editora. All rights reserved.
Ramesha K.; Sudersanan P.D.; Santhosh N.; Jangam S.
Engineering and Applied Science Research, Vol-48, No. 3, pp. 257-267.
https://doi.org/10.14456/easr.2021.28 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106979010&doi=10.14456%2feasr.2021.28&partnerID=40&md5=7cf21aa0c61398be10fc8eb1e3599d02
Ramesha K., Department of Mechanical Engineering, Dr T Thimmaiah Institute of Technology (Affiliated to Visvesvaraya Technological University), Kolar Gold Fields (K.G.F.), Karnataka, 563120, India, Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, Karnataka, 560074, India; Sudersanan P.D., Department of Mechanical Engineering, Dr T Thimmaiah Institute of Technology (Affiliated to Visvesvaraya Technological University), Kolar Gold Fields (K.G.F.), Karnataka, 563120, India; Santhosh N., Department of Mechanical Engineering, MVJ College of Engineering, Near ITPB, Whitefield, Bangalore, Karnataka, 560067, India; Jangam S., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, Karnataka, 560074, India
Optimization of Friction Stir Welding Parameters Using Taguchi Method for Aerospace Applications
AA3103; AA7075; Aerospace; Components; Friction stir welding; H13 tool steel; Minitab; Taguchi orthogonal array
The current research work investigated the optimization of the input parameters for the friction stir welding of AA3103 and AA7075 aluminum alloys for its applications in aerospace components. Friction stir welding is rapidly growing welding process which is being widely used in aerospace industries due to the added advantage of strong strengths without any residual stresses and minimal weld defects, in addition to its flexibility with respect to the position and direction of welding. Thus, the demand for this type of welding is very high; however, the welding of aluminum alloys is a key aspect for its use in aircraft components, particularly with respect to bracket mounting frames, braces and wing components. Henceforth in the current work, research is focused on optimization of welding of aluminum alloys, viz. AA 3103 and AA 7075; AA 3103 is a non-heat treatable alloy which is having good weldability, while AA 7075 is having higher strength. Therefore, the welding of these aluminum alloys will produce superior mechanical properties. The optimization of input parameters was accomplished in this work based on L9 orthogonal array designed in accordance with Taguchi methodusing which the friction stir welding experiment was conducted. There were nine experimental runs in total after formulating the L9 orthogonal array table in Minitab software. The input parameters which were selected for optimization weretool rotation speed, feed rate, tool pin profile. The output parameters which were optimized were hardness, tensile strength and impact strength. In addition, the microstructure of the fractured surfaces of the friction stir welded joint was analyzed. It was found from the optimization of the process parameters that strong friction stir welded joints for aerospace applications can be produced at an optimized set of parameters of tool rotational speed of 1100rpm, traverse speed of 15mm/min with a FSW tool of triangular pin profile of H13 tool steel material. 2020, Springer Nature Singapore Pte Ltd.
Ramesha K.; Sudersanan P.D.; Santhosh N.; Ravichandran G.; Manjunath N.
Lecture Notes on Multidisciplinary Industrial Engineering, Vol-Part F252, pp. 293-306.
Ramesha K., Department of Mechanical Engineering, Dr. T. Thimmaiah Institute of Technology, Karnataka, Kolar Gold Fields, India; Sudersanan P.D., Department of Mechanical Engineering, Dr. T. Thimmaiah Institute of Technology, Karnataka, Kolar Gold Fields, India; Santhosh N., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Ravichandran G., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Manjunath N., Department of Sciences and Humanities, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Opinion mining on newspaper headlines using SVM and NLP
CountVectorizer; Newspaper; NLTK; Opinion mining; Sentiment analysis; SGDClassifier; Stanford coreNLPm; SVM; Tf-idf
Opinion Mining also known as Sentiment Analysis, is a technique or procedure which uses Natural Language processing (NLP) to classify the outcome from text. There are various NLP tools available which are used for processing text data. Multiple research have been done in opinion mining for online blogs, Twitter, Facebook etc. This paper proposes a new opinion mining technique using Support Vector Machine (SVM) and NLP tools on newspaper headlines. Relative words are generated using Stanford CoreNLP, which is passed to SVM using count vectorizer. On comparing three models using confusion matrix, results indicate that Tf-idf and Linear SVM provides better accuracy for smaller dataset. While for larger dataset, SGD and linear SVM model outperform other models. Copyright 2019 Institute of Advanced Engineering and Science. All rights reserved.
International Journal of Electrical and Computer Engineering, Vol-9, No. 3, pp. 2152-2163.
Institute of Advanced Engineering and Science
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.11591/ijece.v9i3.pp2152-2163 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067986051&doi=10.11591%2fijece.v9i3.pp2152-2163&partnerID=40&md5=953768c15a48c34437c537bc173515ed
Rameshbhai C.J., Department of Computer Science, Christ University, Hosur Road, Bangalore, 560029, Karnataka, India; Paulose J., Department of Computer Science, Christ University, Hosur Road, Bangalore, 560029, Karnataka, India
FinTech in India: A systematic literature review
India is the second-most populous country in the world, with a rapidly growing economy. Its population is highly tech-savvy and has a high level of adoption of digital technologies. The Indian government has taken several initiatives to promote digital transactions and financial inclusion. These initiatives have been instrumental in the growth of fintech in India. Fintech, or financial technology, is transforming the financial sector worldwide. Fintech solutions have led to the creation of new business models, streamlined operations, and enhanced customer experience. India is no exception to this trend, as it has witnessed a significant growth in fintech in recent years. The fintech ecosystem in India is highly diverse, consisting of startups, technology companies, banks, and non-banking financial companies (NBFCs). There are various challenges faced by fintech companies in India, such as lack of access to capital, regulatory hurdles, and competition from established players. This chapter proposal aims to provide a basic literature review on the development of fintech in India. 2023, IGI Global. All rights reserved.
The Sustainable Fintech Revolution: Building a Greener Future for Finance, pp. 225-250.
Ramkumar G., Department of Commerce, School of Commerce, Finance and Accountancy, CHRIST University (Deemed), Bangalore, India
A STRUCTURAL EQUATION MODELLING APPROACH TOWARDS TAXPAYERS PERCEPTIONS ON GOODS AND SERVICES TAX IN INDIA; [UMA ABORDAGEM DE MODELAGEM DE EQUAES ESTRUTURAIS PARA AS PERCEPES DOS CONTRIBUINTES SOBRE O IMPOSTO SOBRE BENS E SERVIS NA DIA]; [UN ENFOQUE DE MODELADO DE ECUACIONES ESTRUCTURALES HACIA LAS PERCEPCIONES DE LOS CONTRIBUYENTES SOBRE EL IMPUESTO SOBRE BIENES Y SERVICIOS EN LA INDIA]
Goods and Services Tax; Real-Life Implications; Tax Equity and Fairness; Tax Knowledge; Taxpayer Attitude; Taxpayer Perceptions
Purpose: The Purpose of this article is to comprehend how Indian taxpayers perceive the goods and services tax. Theoretical Framework: India has completed five years after the successful implementation of Goods and Services Tax (GST). Many economic benefits were promised at the time of implementation of this tax regime. Thus, it becomes essential to understand tax payers perceptions by developing a strong framework that influences their perceptions. Design/Methodology/Approach: A descriptive study approach was adopted for this objective. 200 replies were obtained in total. Using SPSS Amos, structural equation modelling was utilised to assess the assumptions produced. Attitude, knowledge, Equity, and fairness of taxpayers served as exogenous factors, while taxpayer impression served as the dependent variable. The real-world implication is used as a mediating variable in order to examine the impacts. Findings: The findings of the research indicate that tax knowledge, Equity, and fairness impact tax attitudes. This study provides some useful recommendations for further research in this sector. Research Implications: This study considers tax knowledge, tax equity and fairness and tax attitudes to measure tax payers perception. However, tax rates, regular amendments, circulars, technology and other variables could also be considered by future researchers on this study. Originality/Value: Using a Structural Equation Modelling in understanding Tax Payers Perceptions was hardly adopted in these types of studies. Variables considered for this study were also unique. 2023 AOS-Estratagia and Inovacao. All rights reserved.
Ramkumar G.; Kalimuthu L.P.; Selvaraj A.P.; Shankarii S.; Rajasekaran K.K.
International Journal of Professional Business Review, Vol-8, No. 4
https://doi.org/10.26668/businessreview/2023.v8i4.2166 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159024151&doi=10.26668%2fbusinessreview%2f2023.v8i4.2166&partnerID=40&md5=650baba5065a8128edbd997a594c9555
Ramkumar G., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bengaluru, India; Kalimuthu L.P., Department of Commerce and International Trade, Karunya Institute of Technology and Sciences (Deemed University), Tamil Nadu, Coimbatore, India; Selvaraj A.P., Department of Management Studies, Karunya Institute of Technology and Sciences (Deemed University), Tamil Nadu, Coimbatore, India; Shankarii S., Department of Management, Sri Krishna Adithya College of Arts and Science, Tamil Nadu, Coimbatore, India; Rajasekaran K.K., Department of Management, Sri Krishna Adithya College of Arts and Science, Tamil Nadu, Coimbatore, India
Quality enhanced framework through integration of blockchain with supply chain management
Agri-food supply chains; Blockchains technology; Digital data; IoT
Recently, there has been significant growth in the consumption of the most widely diversified Internet of Things (IoT) technological knowledge, and devices, which has resulted in an impact on not only electrical items and the agricultural and food industries (Agri-Food) supply chain networks. This has sparked intense curiosity about the development of information sharing that is reliable, traceable, and transparent, and also increased significant research and advancement efforts. Existing IoT-based trace & authenticity methods for agri-food distribution networks are constructed on top of centralized architectures, which creates the potential for significant issues such as data security, manipulation, and standard points of weakness. A creative and scraping methodological approach to implementing decentralized trust-free networks is represented by blockchain technologies, the decentralized blockchain technologies that underpin cryptocurrencies. The fault tolerance, data integrity, visibility, and complete tracing of saved transactional data, along with cohesive digital information of property resources and independent transactions implementations, are in fact features built into this digitalization. This study introduces Agri-BlockIoT, a completely decentralized blockchain-based traceable platform for managing a global agro-food distribution network that can seamlessly connect IoT systems that produce and consume digital information all along the distribution chain. We implemented a use caseto achieve transparency and traceability. Lastly, we analyzed and contrasted the implementations' capability in terms of delay, CPU, or network utilization. 2022 The Authors
Ramkumar G.; Kasat K.; Khader P R.A.; Muhammed P K N.; Raghu T.; Chhabra S.
https://doi.org/10.1016/j.measen.2022.100462 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138189599&doi=10.1016%2fj.measen.2022.100462&partnerID=40&md5=f2aef81d348b8b9774de89d632324667
Ramkumar G., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bangalore, India; Kasat K., Symbiosis School for Liberal Arts, Symbiosis International (Deemed University), Maharashtra, Pune, India; Khader P R.A., Department of Commerce, Ansar Arabic College Valavannur, Kerala, India; Muhammed P K N., Department of Commerce, Malabar College of Advanced Studies, Vengara, Kerala, India; Raghu T., Research Scholar, Department of Commerce and Management Studies, Andhra University, Andhra Pradesh, Visakhapatnam, 530003, India; Chhabra S., Research Scholar, School of Engineering and Technology, Sharda University, Greater Noida
Optimization of Flexible Manufacturing Production Line System Based on Digital Twin
Digital twin; Effectiveness; Manufacturing systems; Optimization; Production capacity
This research presents a revolutionary Digital Twin (DT)driven method aimed at quick customization of computerized industrial processes. The DT includes dual components, the semi-physical replication that transfers system information and gives data input to the subsequent clause, which is enhanced. The outcomes of the optimum section are returned directly to the semi-physical replication used for validation. The term Open-Architecture Machine Tool (OAMT) led to a fundamental class of machine tools that consists of a basic unified platform and many individually designed modules that may be quickly added or replaced away. Designers can dynamically modify the production system for responding to process planning by inserting personalized components into its OAMTs. Major enabling approaches, along with how to identical virtual and substantial systems and how to instantly bi-level program the invention size and efficiency of developed structures to accommodate sudden variations of goods, are explained. A real execution is done to demonstrate the efficacy of the method to achieve increased enactment of the system by minimizing the overhead cost of the recompose method by systematizing and quickly enhancing it. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
Ramkumar G.; Misra S.; Babu G.R.; Gottimukkala A.R.; Siddi S.; Kumar J.S.
Ramkumar G., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Karnataka, Bangalore, India; Misra S., Birla Global University, Odisha, Bhubaneswar, India; Babu G.R., Department of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Nizampet (S.O), Telangana, Hyderabad, 500090, India; Gottimukkala A.R., Department of Computer Science and Engineering, Koneru Lakshmaiah Educationa Foundation, Green Fields, Vaddeswaram, Andhra Pradesh, Guntur, 522302, India; Siddi S., Department of Mathematics, St. Martins Engineering College, Kompally, Telangana, Secunderabad, India; Kumar J.S., Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, India
Deep learning based federated learning scheme for decentralized blockchain
Blockchain; CNN model; Deep Learning; Federated Learning; LSTM model
Blockchain has the characteristics of immutability and decentralization, and its combination with federated learning has become a hot topic in the field of artificial intelligence. At present, decentralized, federated learning has the problem of performance degradation caused by non-independent and identical training data distribution. To solve this problem, a calculation method for model similarity is proposed, and then a decentralized, federated learning strategy based on the similarity of the model is designed and tested using five federated learning tasks: CNN model training fashion-mnist dataset, alexnet model training cifar10 dataset, TextRnn model training thusnews dataset, Resnet18 model training SVHN dataset and LSTM model training sentiment140 dataset. The experimental results show that the designed strategy performs decentralized, federated learning under the nonindependent and identically distributed data of five tasks, and the accuracy rates are increased by 2.51, 5.16, 17.58, 2.46 and 5.23 percentage points, respectively. 2024 selection and editorial matter, Arvind Dagur, Karan Singh, Pawan Singh Mehra & Dhirendra Kumar Shukla; individual chapters, the contributors.
Ramkumar G.; Sivakumar S.; Soni M.; Muhammed Y.; Salman H.M.; Soomar A.M.
Artificial Intelligence, Blockchain, Computing and Security: Volume 1, Vol-1, pp. 679-689.
Ramkumar G., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bengaluru, India; Sivakumar S., Department of Electrical and Electronics Engineering, St. Josephs College of Engineering, OMR, Chennai, India; Soni M., Department of CSE, University Centre for Research & Development, Chandigarh University, Punjab, Mohali, India; Muhammed Y., College of Technical Engineering, Al-Farahidi University, Baghdad, Iraq; Salman H.M., Al-Turath Universiy College, Baghdad, Iraq; Soomar A.M., Faculty of Electrical and Control Engineering, Gda?sk University of Technology, Poland
Blockchain has the characteristics of immutability and decentralization, and its combination with federated learning has become a hot topic in the field of artificial intelligence. At present, decentralized, federated learning has the problem of performance degradation caused by non-independent and identical training data distribution. To solve this problem, a calculation method for model similarity is proposed, and then a decentralized, federated learning strategy based on the similarity of the model is designed and tested using five federated learning tasks: CNN model training fashion-mnist dataset, alexnet model training cifar10 dataset, TextRnn model training thusnews dataset, Resnet18 model training SVHN dataset and LSTM model training sentiment140 dataset. The experimental results show that the designed strategy performs decentralized, federated learning under the nonindependent and identically distributed data of five tasks, and the accuracy rates are increased by 2.51, 5.16, 17.58, 2.46 and 5.23 percentage points, respectively. 2024 The Author(s).
Artificial Intelligence, Blockchain, Computing and Security - Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023, Vol-1, pp. 679-689.
Ramkumar G., Department of Commerce, School of Commerce Finance and Accountancy, Christ University, Bengaluru, India; Sivakumar S., Department of Electrical and Electronics Engineering, St. Josephs College of Engineering, OMR, Chennai, India; Soni M., Department of CSE, University Centre for Research and Development, Chandigarh University, Punjab, Mohali, India; Muhammed Y., College of Technical Engineering, Al-Farahidi University, Baghdad, Iraq; Salman H.M., Al-Turath Universiy College, Baghdad, Iraq; Soomar A.M., Faculty of Electrical and Control Engineering, Gda?sk University of Technology, Poland
Bipolar Disease Data Prediction Using Adaptive Structure Convolutional Neuron Classifier Using Deep Learning
Bipolar disorder; Chi-square score; Feature; Features testing; Neural network; Visualise data; Weights
The symptoms of bipolar disorder include extreme mood swings. It is the most common mental health disorder and is often overlooked in all age groups. Bipolar disorder is often inherited, but not all siblings in a family will have bipolar disorder. In recent years, bipolar disorder has been characterised by unsatisfactory clinical diagnosis and treatment. Relapse rates and misdiagnosis are persistent problems with the disease. Bipolar disorder has yet to be precisely determined. To overcome this issue, the proposed work Adaptive Structure Convolutional Neuron Classifier (ASCNC) method to identify bipolar disorder. The Imbalanced Subclass Feature Filtering (ISF2) for visualising bipolar data was originally intended to extract and communicate meaningful information from complex bipolar datasets in order to predict and improve day-to-day analytics. Using the Scaled Features Chi-square Testing (SFCsT), extract the maximum dimensional features in the bipolar dataset and assign weights. In order to select features that have the largest Chi-square score, the Chi-square value for each feature should be calculated between it and the target. Before extracting features for the training and testing method, evaluate the Softmax neural activation function to compute the average weight of the features before the feature weights. Diagnostic criteria for bipolar disorder are discussed as an assessment strategy that helps diagnose the disorder. It then discusses appropriate treatments for children and their families. Finally, it presents some conclusions about managing people with bipolar disorder. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Ramkumar M.; Shanmugaraja P.; Dhiyanesh B.; Kiruthiga G.; Anusuya V.; Bejoy B.J.
Lecture Notes in Networks and Systems, Vol-757 LNNS, pp. 131-143.
Springer Science and Business Media Deutschland GmbH
Ramkumar M., Knowledge Institute of Technology, Salem, India; Shanmugaraja P., Sona College of Technology, Salem, India; Dhiyanesh B., Dr. N.G.P. Institute of Technology, Coimbatore, India; Kiruthiga G., IES College of Engineering, Thrissur, India; Anusuya V., Ramco Institute of Technology, Rajapalayam, India; Bejoy B.J., CHRIST (Deemed to be University), Bangalore, India
A Review on EMG-based Pattern Identification Methods for Effective Controlling of Hand Prostheses
Classification Algorithms; Deep Learning; Electromyography; Hand Prosthesis; Recognition Accuracy
The ability of amputees to do daily duties is significantly restricted by upper limb amputation. The myoelectric prosthesis uses impulses from the surviving muscles in the stump to gradually restore function to such severed limbs. Such myosignals are unfortunately tedious and challenging to gather and employ. The process of transforming it into a user control signal after it has been acquired often consumes a significant amount of processing resources. By modifying machine learning strategies for pattern recognition, the factors that influence the traditional electromyography (EMG)-pattern identification approaches may be significantly minimized. Although more recent developments in intelligent pattern recognition algorithms could discern between a variety of degrees of freedom with high levels of accuracy, their usefulness in practical (amputee) applications was less obvious. This review paper examined how well various pattern recognition algorithms for hand prostheses performed. Finally, we discussed the current difficulties and offered some suggestions for future research in our paper's conclusion. 2023 IEEE.
Ramkumar S.; Rema D.; Devi T.A.; Elavarasi K.; Selvaganapathi T.; Gokila S.
3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023 - Proceedings, pp. 517-523.
Institute of Electrical and Electronics Engineers Inc.
Ramkumar S., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Rema D., Karpagam Academy of Higher Education, Department of Food Technology, Coimbatore, India; Devi T.A., Karpagam Academy of Higher Education, Department of Food Technology, Coimbatore, India; Elavarasi K., Karpagam Academy of Higher Education, Department of Electrical and Electronics Engineering, Coimbatore, India; Selvaganapathi T., Karpagam Academy of Higher Education, Department of Electrical and Electronics Engineering, Coimbatore, India; Gokila S., Karpagam Institute of Technology, Department of CSE, Coimbatore, India
Influence of agricultural wastes on larval growth phases of the black soldier fly, Hermetia illucens (Diptera: Stratiomyidae): An integrated approach
Growth phases; Insects; Morphology; Sustainability; Waste management
Insects are an effective tool for converting nutrients in agricultural by-products into protein-rich biomass and compost. Black soldier fly (BSF) (Hermetia illucens) larvae are currently one of the insect species widely used as a protein source in aquafeed globally. Although much effort has been spent on the use of BSF in aquafeed, there is not much information on the biology of the insect, especially with the morphology of the BSF. This study aimed to evaluate the influence of various organic wastes, such as fruit wastes (FW) and vegetable wastes (VW), on different growth phases of BSF larva (BSFL), using morphometric and scanning electron microscopic examinations, and the composition of the compost produced, as well as a method for upscaling of larval production of BSFL. Faster growth was observed in BSFL fed with VW substrate (40 days) compared to the FW (46 days). Based on the morphometric measurements such as length, larval head length, total length etc., five larval stages, prepupal and pupal stage of BSFL were differentiated and described. In addition, SEM imaging of BSF mouth parts found that the mouth morphology of the BSF larvae and prepupal stage differed, and the BSF prepupa had reduced mouthparts. Also, the mandibular-maxillary complex was well developed than the BSF prepupa. BSFL larvae have proven to convert fruit and vegetable waste into high-quality residue fertilizer for the soil. The BSF compost showed optimum nitrogen, phosphorous, potassium, calcium and sulphur content. This research establishes a baseline knowledge and guidance on the BSF-rearing facilities. Author (s). Publishing rights @ ANSF.
Journal of Applied and Natural Science, Vol-15, No. 2, pp. 860-869.
https://doi.org/10.31018/jans.v15i2.4656 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163372387&doi=10.31018%2fjans.v15i2.4656&partnerID=40&md5=682491bf50015e728cb4aaf9cf63639f
Rampure S.M., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Dharmaram Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Velayudhannair K., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Dharmaram Post, Hosur Road, Karnataka, Bengaluru, 560029, India
Characteristics of chitin extracted from different growth phases of black soldier fly, Hermetia illucens, fed with different organic wastes
Chitin; Insect; Waste management; Wound healing
Insect chitin was isolated from different life stages of the black soldier fly Hermetia illucens, such as instar stages, prepupae and pupae, reared separately on fruit and vegetable waste substrates after removal of fat, protein and minerals. Chitin yield was high in prepupae fed with vegetable waste (11.78 0.13%) followed by fruit waste (6.82 0.36%). The extracted chitin was compared with a commercial chitin from shrimp by Fourier-transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy and thermogravimetric analysis. The results revealed that both chitins from commercial shrimp source and the H. illucens had similar chemical structures and physicochemical properties indicating the H. illucens chitin samples to be of ?- chitin orientation type. With regards to the H. illucens samples, small physiochemical changes were noticed. Furthermore, the polymers derived from BSF are equivalent to commercial polymers in terms of purity and structural morphology, indicating their utility for industrial and medical applications. Thus, H. illucens prepupae is a promising alternative source of chitin. 2023, African Association of Insect Scientists.
Rampure S.M.; Velayudhannair K.; Marimuthu N.
International Journal of Tropical Insect Science, Vol-43, No. 3, pp. 979-987.
Rampure S.M., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Dharmaram Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Velayudhannair K., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Dharmaram Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Marimuthu N., Department of Chemistry, CHRIST (Deemed to be University), Bangalore Central Campus, Hosur Road, Karnataka, Bengaluru, 560029, India
Role of employee resource groups (ERGs) in fostering workforce diversity in information technology (IT) organizations after COVID-19
This chapter discovers how employee resource groups play an important role in fostering organizational diversity within information technology organizations. It examines the activities and practices to improve employee behaviour and also focuses on challenges faced by employees in spite of stress and mental health related issues during the COVID-19 pandemic. The data has been collected from secondary sources. The authors have used desk research and gray literature. The findings showcase increased employee engagement, improvements in diversity and inclusion, and an overall improvement in the inventive and creative skills of employees. It also helps the organization to brand itself better along with better recruitment strategies and practices. The key emphasis of the paper looks at the employees working within information technology organizations and how employee resource groups function to balance, motivate, and empower employees during COVID-19 Pandemic. 2023, IGI Global. All rights reserved.
Role of Human Resources for Inclusive Leadership, Workplace Diversity, and Equity in Organizations, pp. 184-213.
Ramshankar P., CHRIST University (Deemed), India; Thomas M.R., CHRIST University (Deemed), India
Valorization of agro-industrial fruit peel waste to fluorescent nanocarbon sensor: Ultrasensitive detection of potentially hazardous tropane alkaloid
Agro-industrial waste; Atropine sulphate; Fluorescence sensing; Nanodiamond-like carbon; Orange peel; Valorization
Millions of tonnes of agro-industrial waste are generated each year globally, with the vast majority of it going untreated, underutilized, and disposed of by burning or landfilling, causing severe environmental distress and economic downturn. A practical solution to this global issue is to use green chemistry to convert this waste into value-added products. Accordingly, in the present study, agro-industrial orange peel waste was valorized into fluorescent nanodiamond-like carbon sensor via a green route involving hydrothermal treatment of microwave carbonized orange peel waste. The developed sensor, used for the fluorescence detection of potentially hazardous drug atropine sulfate, exhibits unique dual linearity over concentration ranges of 300 nM to 1 M and from 1 M to 10 M, as well as ultra-low sensitivity of 34.42 nM and 356.46 nM, respectively. Additionally, the sensor demonstrates excellent reproducibility, high stability, and satisfactory recovery when used to identify and quantify atropine sulfate in biological samples and commercially available pharmaceuticals, indicating promising multidisciplinary applications. [Figure not available: see fulltext.] 2021, Higher Education Press.
Frontiers of Environmental Science and Engineering, Vol-16, No. 3
Ramya A.V., Nanocarbon Research Group, Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, 560029, India; Balachandran M., Nanocarbon Research Group, Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, Karnataka, 560029, India