Hunter Prey Optimization for Optimal Allocation of Photovoltaic Units in Radial Distribution System for Real Power Loss and Voltage Stability Optimization
Active power loss minimization; Distribution generation; Hunter-prey optimization; Radial distribution system; Voltage stability
Renewable Energy (RE) based Distribution Generation (DG), is a widely accepted eco-friendly alternative to conventional energy production. On the basic note, a DG is used to provide a part of or all of a customers real power demand and/or as a standby supply, and of all various existing types of DG technologies, Photovoltaic (PV) type distribution generation is considered for the study. The location of distributed generation is defined as the installation and operation of electric power generation modules connected directly to the distribution network or the network on the customer side of the meter, hence signifying the optimal location and size of the DGs used. This paper proposes a new algorithm of Hunter-Prey Optimization (HPO) to determine the optimal allocation of PV integration in the radial distribution systems (RDS). HPO is a new population-based algorithm inspired by the hunting behavior of a carnivore. The optimal sizing and siting of the PVs are determined by the proposed algorithm of HPO and are tested in MATLABR2021b on standard IEEE-33 and 69 test bus systems. On the basic of comparative study with literature, HPO is performed efficiently for solving multi-variable complex optimization problem. Also, the performance of RDSs is significantly improved with optimal PV allocations. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Lecture Notes in Networks and Systems, Vol-608, pp. 817-825.
Springer Science and Business Media Deutschland GmbH
Lahari P.S., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560074, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560074, India
A Pre-trained YOLO-v5 model and an Image Subtraction Approach for Printed Circuit Board Defect Detection
automatic optical inspection; computer vision; defect detection; electronic manufacturing; image subtraction; printed circuit board; structural similarity index; YOLO-v5
Almost every electronic product used regularly contains printed circuit boards, which in addition to being used for business purposes are also used for security applications. Manual visual inspection of anomalies and faults in circuit boards during manufacture and usage is extremely challenging. Due to a shortage of training data and the uncertainty of new abnormalities, identifying undiscovered flaws continues to be complicated. The YOLO-v5 technique on a customized PCB dataset is used in the study to incorporate computer vision to detect six potential PCB defects. The algorithm is designed to be feasible, deliver precise findings, and operate at a considerable pace to be effective. A technique of image subtraction is also implemented to detect flaws in printed circuit boards. The structural similarity index, a perception-based method, gauges how similar non-defective and defective PCB images are to one another. 2023 IEEE.
Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, ICIITCEE 2023, pp. 140-145.
Institute of Electrical and Electronics Engineers Inc.
Lailesh A.K., Christ University, Department. of Data Science, Lavasa, Pune, India; Richi J.A., Christ University, Department. of Data Science, Lavasa, Pune, India; Preethi N., Christ University, Department. of Data Science, Lavasa, Pune, India
Extraction of Web News from Web Pages Using a Ternary Tree Approach
pattern generation; Quality data; Ternary tree; unsupervised web extraction; Web extractors
The spread of information available in the World Wide Web, it appears that the pursuit of quality data is effortless and simple but it has been a significant matter of concern. Various extractors, wrappers systems with advanced techniques have been studied that retrieves the desired data from a collection of web pages. In this paper we propose a method for extracting the news content from multiple news web sites considering the occurrence of similar pattern in their representation such as date, place and the content of the news that overcomes the cost and space constraint observed in previous studies which work on single web document at a time. The method is an unsupervised web extraction technique which builds a pattern representing the structure of the pages using the extraction rules learned from the web pages by creating a ternary tree which expands when a series of common tags are found in the web pages. The pattern can then be used to extract news from other new web pages. The analysis and the results on real time web sites validate the effectiveness of our approach. 2015 IEEE.
Proceedings - 2015 2nd IEEE International Conference on Advances in Computing and Communication Engineering, ICACCE 2015, pp. 628-633.
https://doi.org/10.1109/ICACCE.2015.38 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959058384&doi=10.1109%2fICACCE.2015.38&partnerID=40&md5=895fc0ec9c1133ddadc762b704b9ea75
Laishram D., Department of Computer Science and Engineering, Christ University Faculty of Engineering, Bangalore, India; Sebastian M., Department of Computer Science and Engineering, Christ University Faculty of Engineering, Bangalore, India
Engineering applications of artificial intelligence
Artificial intelligence (AI) has evolved rapidly over the past few decades, permeating various aspects of our lives and transforming industries. This chapter explores the emerging applications of AI across diverse fields, including healthcare, finance, transportation, education, and entertainment. In healthcare, AI is revolutionizing diagnostics, drug discovery, personalized medicine, and patient care. In finance, AI-powered algorithms are enhancing trading strategies, risk assessment, fraud detection, and customer service. The transportation sector is witnessing advancements in autonomous vehicles, traffic management, and logistics optimization through AI technologies. AI is also reshaping education with adaptive learning platforms, personalized tutoring, and educational analytics. Moreover, in the entertainment industry, AI is driving content creation, recommendation systems, and virtual experiences. Despite the remarkable progress, challenges such as ethical concerns, bias mitigation, data privacy, and regulatory frameworks need to be addressed for the responsible deployment of AI. 2024, IGI Global. All rights reserved.
Lakkshmanan A.; Seranmadevi R.; Sree P.H.; Tyagi A.K.
Enhancing Medical Imaging with Emerging Technologies, pp. 166-179.
Lakkshmanan A., Department of Computing Technologies, SRM Institute of Science and Technology, Kattankaluthur, India; Seranmadevi R., Department of Professional Studies, Christ University, Bangalore, India; Sree P.H., ECE Department, CVR College of Engineering, Hyderabad, India; Tyagi A.K., Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India
In Vitro Production of Bioactive Compounds from Plant Cell Culture
Biosynthesis; CRISPR Cas9; Elicitation; Metabolic engineering; Plant cell culture; Plant secondary metabolites
Secondary metabolites (SMs) are bioactive compounds widely used in various industries as pharmaceutical agents and food additives and serve as precursor substances for the synthesis of commercially important products. These natural bioactive metabolites are quickly replacing chemicals as efficient coloring, flavoring, texturizing, and preservative agents. Productions of these SMs are hampered due to physiological and technological parameters. Although SMs do not have any significant role in the growth and development of the organisms where they are found, they have commercial importance. Humankind has harnessed its application in every walk of their life. In the medical field, SMs are used as antibiotics, antifungal, antiviral, metabolic inhibitors, anticancer agents, and many more. The biological and pharmacological benefits of medicinal plants are attributed to SM produced by subsidiary pathways that are highly specific to target molecules. Most pharmaceuticals are either directly or indirectly derived from plant sources. Production of SMs from field plants suffers from various limitations like seasonal production, choosing specific plant organs for specific metabolites, low yield, cost of purification, and seasonal variations. Biotechnological approaches such as plant cell, tissue, and organ cultures are the best alternative methods for commercial production. The current chapter focuses on establishment of plant cell culture system for the production of SMs, strategies to improve biomass yield and metabolite content, and biosynthetic pathways. The chapter also emphasizes elicitation strategies, application of CRISPR Cas9 in metabolite synthesis, large-scale production, and commercial aspects of SMs. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
Lakshmaiah V.V.; Banadka A.; Thirumoorthy G.; Naik P.M.; Al-Khayri J.M.; Nagella P.
Nutraceuticals Production from Plant Cell Factory, pp. 29-67.
Lakshmaiah V.V., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Banadka A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Thirumoorthy G., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Naik P.M., Department of Botany, Karnatak University, Karnataka, Dharwad, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Biological activity; Biosynthesis; Elicitation strategies; Metabolic engineering; Plant cell and organ culture; Tocopherol
Tocopherols are an essential dietary nutrient for mammals and photosynthetic products produced by green plants. Tocopherols commonly referred to as vitamin E exist in four forms (?-, ?-, ?-, and ?-tocopherol). Synthetic ?-tocopherol is a mixture of eight racemic forms and is less effective than natural tocopherol, thus the demand for plant-derived tocopherols is high. Tocopherols are lipophilic antioxidant and extensively used as therapeutic agents such as anti-inflammatory, anti-infection, anticancer, immune-stimulant, and nephro-protectant. They are also used as food additives and nutraceuticals. Plant cell and tissue culture is one of the promising techniques for mass production of tocopherols to meet the commercial demand. Optimizing physical and chemical factors for in vitro culture system has resulted in better accumulation of the product. Moreover, using bioreactors, precursor feeding, elicitation, biotransformation, and metabolic engineering approaches have resulted in enhanced yield of tocopherols from in vitro cultures. The present chapter deals with various important aspects of tocopherol in vitro production such as biosynthesis of tocopherol with special emphasis on key enzymes involved in the pathway whose modulation in expression can increase the yield of the product. Topics discussed include production of tocopherol from callus, cell and organ culture, metabolic engineering for mass production, different methods employed for extraction and quantification of tocopherols, and their biological activities and commercial applications. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
Lakshmaiah V.V.; Joseph B.V.; Bhaskar R.; Ulhas R.S.; Al-Khayri J.M.; Nagella P.
Nutraceuticals Production from Plant Cell Factory, pp. 287-319.
Lakshmaiah V.V., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Joseph B.V., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Bhaskar R., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Ulhas R.S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
Bio-Decolorization and Degradation of Reactive Blue 222 by a Novel Isolate Kucoria marina CU2005
Biodegradation; Dye metabolites; Kucuria marina; Optimisation; Reactive blue 222
In this study, a novel bacterial strain, Kucoria marina CU2005, was isolated and identified using 16S rRNA gene sequencing from an industrial wastewater sludge sample capable of degrading Reactive Blue 222 (RB222) dye. Batch mode bio stimulation studies were performed with minimal salt media to optimize key physiological parameters for effective decolorization of RB222. When cultured at 35 C and pH 7 under static conditions, this bacterium decolorized 82 percent of the dye after 24 hours. Decolorization was monitored using UV-vis spectrophotometry. Isolates ability to decolorize the complex dye was attributed to its degradation potential rather than a passive surface adsorption. FTIR, HPLC, GC-MS studies were used to confirm microbial dye metabolism. The results indicated breakdown of dye upon decolorization as some peaks were shifted and generation of aromatic amine for monosubstituted benzene ring as intermediates of dye degradation in decolorized solutions. This study has shown the potential of Kucoria marina CU2005 to decolorize RB222 dye at a better pace and efficiency than previously reported bacterial strains. Thus, we propose that our isolated strain can be utilized as a potential dye decolorizer in environmental biotechnology as effluent treatment for decolorization of RB 222. 2023, Association of Biotechnology and Pharmacy. All rights reserved.
Lakshmaiah V.V.; Krishna S.B.N.; More S.S.; Jayanna S.K.
Current Trends in Biotechnology and Pharmacy, Vol-17, No. 1, pp. 637-648.
Association of Biotechnology and Pharmacy
https://doi.org/10.5530/ctbp.2023.1.5 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148893842&doi=10.5530%2fctbp.2023.1.5&partnerID=40&md5=adef9f451f582243e832698b0b52d578
Lakshmaiah V.V., School of Basic and Applied Sciences, Dayananda Sagar University, Kumaraswamy layout, Bangalore, India; Krishna S.B.N., Department of Biomedical and Clinical Technology, Durban University of Technology, Durban, 4000, South Africa; More S.S., Department of Life Sciences, CHRIST (Deemed to be University), Hosur road, Bangalore, India; Jayanna S.K., School of Basic and Applied Sciences, Dayananda Sagar University, Kumaraswamy layout, Bangalore, India
Sustainable biodegradation of textile dye reactive blue 222 by the novel strain Enterobacter CU2004, isolated from the industrial waste: A design of experiment based optimization study and characterisation of metabolites
Biodegradation; Bioremediation; Design of experiment; Enterobacter; Reactive blue 222; Statistical modeling
Reactive Blue 222 (RB222) is widely used in textile industries and hence a common recalcitrant pollutant in the industrial effluent. Bioremediation of this dye is of significance as its one of the complex dyes with high molecular weight. In the present study, we isolated a novel bacterial strain Enterobacter CU2004 from the industrial waste and characterize using16S rRNA gene sequencing. Its potential to dye degradation was evaluated in a simple minimal salt media with the parameters namely dye concentration (1001000 ppm), pH (49), temperature (1555C), Carbon source (Lactose, Sucrose, Glucose, Starch, and Fructose), and Nitrogen source (Casein, Yeast extract, Peptone, Tryptone, Ammonium sulphate, and Urea) in a 24 h culture. Finally, data obtained were extended to design of experiment based optimization for the degradation efficacy of Enterobacter CU2004 and to validated design space was established. The novelty is in optimizing the design space parameters for highest percentage of degradation ?90% by the bacterial isolate Enterobacter CU2004 were finalized as 3037C temperature, 133249 ppm dye concentration, Lactose as Carbon source, Yeast extract as Nitrogen source, and the pH as 8. Microbial dye degradation was confirmed by FTIR, HPLC and GCMS studies. Further studies revealed the dye intermediates and the potential of Enterobacter CU2004 toward the degradation of complex, high molecular weight industrial dye RB222. 2024 Vasantha Veerappa Lakshmaiah, et al.
Lakshmaiah V.V.; Nag A.; Gotekar S.; More S.; Jayanna S.K.
Journal of Applied Biology and Biotechnology, Vol-12, No. 3, pp. 257-267.
https://doi.org/10.7324/JABB.2023.70862 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192500882&doi=10.7324%2fJABB.2023.70862&partnerID=40&md5=9fa628f0ef546e1e26717ce8f578abc3
Lakshmaiah V.V., Department of Microbiology, School of Basic and Applied Sciences, Dayananda Sagar University, Kumaraswamy Layout, Bengaluru, 560078, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Gotekar S., Department of Chemistry, Smt Devkiba Mohanshansinhji Chauhan College of Commerce and Science (University of Mumbai), Dadra and Nagar Haveli, India; More S., Department of Biochemistry, School of Basic and Applied Sciences, Dayananda Sagar University, Kumaraswamy Layout, Bengaluru, 560078, India; Jayanna S.K., Department of Microbiology, School of Basic and Applied Sciences, Dayananda Sagar University, Kumaraswamy Layout, Bengaluru, 560078, India
Elusive Justice to Dalits in the 'Land of Social Justice'
The recent inhuman incident of mixing human faeces in the overhead tank supplying water to Dalit colony in Vengaivayal village in Pudukkottai district of Tamil Nadu refl ects the perpetuating violence against the Dalits. Locating this brutal violence within the larger framework of violence against Dalits in Tamil Nadu, the lackadaisical attitude of Dravidian parties when dealing with the issues related to Dalits is brought to the fore.. 2023 Economic and Political Weekly. All rights reserved.
Economic and Political Weekly, Vol-58, No. 23, pp. 17-19.
Lakshmanan C., Christ University, Bengaluru, India; Sethuraman V., Christ University, Bengaluru, India
2D Metal-based Electrocatalysts: Properties and Applications
Metallic nanostructures with thickness ranging from a single atom up to 100 nanometers fall under the category of 2D metals. The modified electronic band structure due to quantum confinement effects leads to intriguing electrical and electronic properties. Moreover, the properties can be further altered by variations in their shape, thickness, and lateral size. The exceptionally high surface area to volume ratio of 2D metals and stretchability are beneficial in electrocatalysis. The exposed atoms on the outer surface of 2D metals with low coordination numbers, possess unique properties, forming numerous active sites on the surface. As a result, 2D metals demonstrate a high ability towards the activation of small molecules, including O2, H2, CO2, HCOOH, CH3OH, C2H5OH, etc. This exceptional oxidation reactivity enables 2D metals to be excellent electrocatalysts for hydrogen/oxygen evolution reaction (HER/OER), oxygen reduction reaction (ORR), and oxidation of small molecules (formic acid, methanol, and ethanol) for fuel-cell applications. As the localized surface plasmon resonance (SPRs) is sensitive to the size/shape of plasmonic 2D metals, the optical absorption enabled by SPRs offers additional advantages for photo-electrocatalytic processes. The stability of highly active catalytic 2D metals presents a challenge due to the propensity of metal surfaces with high reactivity to undergo oxidation. Recent developments in the synthesis, properties, and applications of 2D metal nanostructures for electrocatalytic processes are discussed. The challenges and opportunities in the electrocatalytic application of 2D metal nanostructures have been summarized. 2025 Ram K. Gupta.
Lakshmanan P.; Kumar M K.; Pyarasani R.D.; Amalraj J.
2D Metals Fundamentals, Emerging Applications, and Challenges, pp. 138-155.
Lakshmanan P., Inha University Incheon, South Korea; Kumar M K., CHRIST (Deemed to be University), Karnataka, India; Pyarasani R.D., Universidad catica de Maule Talca, Chile; Amalraj J., Universidad de Talca Talca, Chile
On Leech labelings of graphs and some related concepts
Leech graph; Leech index; Leech labeling; Path number
Let G=(V,E) be a graph and let f:E?{1,2,3,} be an edge labeling of G. The path weight of a path P in G is the sum of the labels of the edges of P and is denoted by w(P). The path number of G, tp(G) is the total number of paths in a graph G. If the set of all path weights S in G with respect to the labeling f is {1,2,3,,tp(G)}, then f is called a Leech labeling of G. A graph which admits a Leech labeling is called a Leech graph. Leech index is a parameter which evaluates how close a graph is towards being Leech. In this paper, the path number of the wheel graph Wn is obtained. We also determine a bound for the Leech index of Wn and a subclass of unicyclic graphs. A python program that gives all possible Leech labelings of a cycle Cn for n?3, if it exists, is also provided. 2023 Elsevier B.V.
https://doi.org/10.1016/j.disc.2023.113837 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179830543&doi=10.1016%2fj.disc.2023.113837&partnerID=40&md5=73a18f19b5a84f5332f2d4de5e61ed32
Lakshmanan S. A., Department of Mathematics, Cochin University of Science and Technology, Kerala, Cochin, 22, India; Eldho M.M., Department of Mathematics, CHRIST (Deemed to be University), Kerala, Bangalore, India
Homomorphic DNA Security in IoT Edge Data
DNA Sequence; Homomorphic Encryption; Image Encryption; Lightweight Cryptography; Medical Data Security
The Internet of Things (IoT) based intelligent medical system possesses sensitive and private patient data. Most data relates to the patient's medical records and highly sensitive information. For this reason, safety and confidentiality of information are crucial. The preservation of patient privacy when sharing medical data is the primary concern of this study. Due to their excellent performance, biological notations based on deoxyribonucleic acid (DNA) are becoming increasingly admired for guaranteeing encryption and image protection. This paper proposes lightweight homomorphic with DNA-based medical image encryption (HDNA_MIE) for heterogeneous IoT in edge computing. The proposed approach contains two steps: In the first step, the secure DNA keys are generated using lightweight operations such as shifting and Josephus ring-based permutation (JRP). In the second step, the lightweight homomorphic cryptographic algorithm with DNA sequence-based encryption algorithm is suggested for secure encryption. The suggested strategy is evaluated using computational time and statistical analysis with several measures to determine its efficacy. The experimental findings of the proposed strategy exhibited a high level of security and a noticeable enhancement in the Number of Pixels Change Rate (NPCR), Unified Average Changing Intensity (UACI) and encryption processing time. The experiment outcomes demonstrate that our technique may be applied to highly confidential image encryption. 2024, Iquz Galaxy Publisher. All rights reserved.
Lakshmanan S.; Kokilavani T.; Joseph Charles P.
International Research Journal of Multidisciplinary Scope, Vol-5, No. 4, pp. 1084-1094.
Lakshmanan S., Department of Computer Science, St. Josephs College (Autonomous), Affiliated to Bharathidasan University, Tamil Nadu, Tiruchirappalli, 620005, India; Kokilavani T., Department of Computer Science, Christ University, Nagasandra, Karnataka, Bangalore, 560073, India; Joseph Charles P., Department of Computer Science, St. Josephs College (Autonomous), Affiliated to Bharathidasan University, Tamil Nadu, Tiruchirappalli, 620005, India
Stock Price Prediction using Deep Learning and FLASK
Deep Learning; Kaggle; LSTM; RNN; Stock Prediction
The forecasting of stock prices is one of the most explored issues, and it attracts the attention of both academics and business professionals. It is quite difficult to make predictions about the stock market, and it takes extensive research into the patterns of data. With the expansion of the internet and indeed the growth of social media, online media and opinions frequently mirror investor sentiment. The volatility and non-linear structure of the financial stock markets makes accurate forecasting difficult. One of the sophisticated analysis techniques that is being used by academics in a variety of fields is the neural network. In this paper, we proposed deep learning techniques for google stock price prediction. A dataset from Kaggle was collected and applied deep learning techniques RNN, LSTM variants. We achieved better results with Bidirectional LSTM. We also created a web app for stock prediction using Christ University python FLASK. 2022 IEEE.
Lakshmanarao A.; Babu M.R.; Gupta C.; Lakshmi A.S.G.
Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022
Lakshmanarao A., Aditya Engineering College, Department of IT, Surampalem, India; Babu M.R., Aditya Engineering College, Department of IT, Surampalem, India; Gupta C., Christ University, School of Commerce, Finance and Accountancy, India; Lakshmi A.S.G., Mallareddy College of Engineering Maisammaguda, Department of CSE, Dhulapally, Secunderabad, India
Airline Twitter Sentiment Classification using Deep Learning Fusion
Since the advent of the Internet, the way people express their ideas and beliefs has undergone significant transformation. Blogs, online forums, product review websites and social media are increasingly the primary means of distributing information about new products. Twitter, in particular, is giving people a platform to air their views and opinions about a variety of events and products. In order to continually enhance the quantity and quality of their products and services, entrepreneurs constantly need input from their customers. Businesses are always looking for ways to increase the quality of their products and services. As a result, it's tough to understand the consumer's sentiments because of the large volume of data. In this research work, a Kaggle dataset of airline tweets for sentiment analysis was used. The dataset contains 11,540 reviews. We proposed an ensemble CNN, LSTM architecture for sentiment analysis. For comparison of the proposed system, LSTM alone also tested for similar dataset. LSTM was given an accuracy of 91% and the proposed ensemble framework with LSTM and CNN was given an accuracy of 93%. The experiments showed that the proposed model achieved better accuracy when compared to conventional techniques. 2022 IEEE.
2022 International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2022
https://doi.org/10.1109/SMARTGENCON56628.2022.10084207 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153676669&doi=10.1109%2fSMARTGENCON56628.2022.10084207&partnerID=40&md5=a8b28e75bb1792eaeb4a1d9aa79e9a4c
Lakshmanarao A., Aditya Engineering College, Department of Information Technology, Surampalem, India; Gupta C., Christ University, School of Commerce, Finance and Accountancy, India; Kiran T.S.R., P.B. S College of Arts & Science, Department of Computer Science, A.P, Vijayawada, India
Loan Default Prediction Using Machine Learning Techniques and Deep Learning ANN Model
Artificial Neural Network; Kaggle; Lending Club; Loan prediction
Loan default prediction is a critical task in the financial sector, aimed at assessing the creditworthiness of borrowers and minimizing potential losses for lending institutions. Online loans continue to reach the public spotlight as Internet technology develops, and this trend is expected to continue in the foreseeable future. In this paper, the authors proposed loan default loan prediction system based on ML and DL models. This work makes use of the information on loan defaults provided by Lending Club. The dataset is preprocessed by applying various data preprocessing techniques and preprocessed dataset is generated. Later, we proposed four ML algorithms decision tree, random forest, logistic regression, K-NN and Feed forward neural network. The experimental results shown that proposed feed forward neural network achieved good accuracy for loan default prediction with an accuracy of 99%. 2023 IEEE.
Lakshmanarao A.; Gupta C.; Koppireddy C.S.; Ramesh U.V.; Dev D.R.
2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems, AICERA/ICIS 2023
https://doi.org/10.1109/AICERA/ICIS59538.2023.10420221 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186138850&doi=10.1109%2fAICERA%2fICIS59538.2023.10420221&partnerID=40&md5=71a6f3f031b8dcaa2b19d525f5a9f984
Lakshmanarao A., Aditya Engineering College, Department of It, Surampalem, India; Gupta C., School of Commerce, Finance and Accountancy, Christ University, India; Koppireddy C.S., Pragati Engineering College, Cse Department, A.P, Surampalem, India; Ramesh U.V., Aditya Engineering College, Department of Cse, Surampalem, India; Dev D.R., Vignan's Institute of Engineering for Women, India
An Extensive Time Series Analysis of Covid-19 Data Sets on the Indian States
Covid-19; Pandemic control; SIR model; Socio-economic impacts
Pandemic influenza coronavirus is causing a great loss to mankind. It is creating a chaos on the global economy. Fight against this unseen enemy is affecting all the sectors of the global economy. Mankind is quivering with fear and scared to do something. This study gives a detailed presentation of the current position of virus escalation in India. Sentiment analytics from Twitter data is evaluated on sentiment, emotions and fear opinions are analyzed in the study. The analysis is on red, orange and green zones in several states of India and also gave a comprehensive interpretation on various phases of lockdown. Confirmed, active, recovered and deceased cases in all states are modeled to predict the increase of number of cases. Textual, geographical and graphical analytics are extensively described in the research study. Time series analysis is broadly elaborated as a case study till July 22, 2020, forecasting the impact of virus on Maharashtra, Kerala, Gujarat, Delhi and Tamil Nadu. This study will favor the administrative system to control the disease spread across the nation. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Infosys Science Foundation Series in Mathematical Sciences, pp. 577-598.
Lakshmi J.V.N., JAIN (Deemed to be University), Bangalore, India; Bhagat V., CHRIST (Deemed to be University), Bangalore, India
Natural convection of a binary liquid in cylindrical porous annuli/rectangular porous enclosures with cross-diffusion effects under local thermal non-equilibrium state
Cylindrical porous annuli; Double diffusive convection; Oseen- linearization analytical method; Rectangular porous enclosure; Soret and dufour effects; Uniform heat and mass fluxes
The present article reports an analytical study of the double diffusive natural convection (DDNC) in cylindrical porous annuli (CPA) and rectangular porous enclosures (RPE), which are handled in a unified way using the curvature parameter, saturated by a binary liquid under the assumption of local thermal non-equilibrium (LTNE) state. The buoyancy forces (thermal and solutal) driving the flow are assumed to be induced by the maintenance of constant and uniform heat and mass fluxes applied along the vertical (radial) walls and insulation of both horizontal walls of the annuli/rectangular enclosures. The Darcy-Boussinesq equations with LTNE assumption between the fluid and solid phases are employed to model the problem of DDNC in a binary liquid-saturated porous medium with cross-diffusion effects. The analytical results are obtained by employing the Oseen-linearization transformation technique in the study. The influence of various dimensionless parameters on heat and mass transports of the system are depicted using the Nusselt and Sherwood numbers and isotherms plots, and the obtained results are analysed with the physical explanation. Special attention is given to understand the effect of LTNE parameter and cross-diffusion parameters on heat and mass transports of the system. Different aspect ratio values are chosen to obtain the results of three types of CPA/RPE (shallow, square and tall). Among these CPA/RPE, maximum and minimum heat and mass transports are achieved in the cases of shallow and tall CPA/RPE, respectively. The results of the pure thermal convection problem is obtained at the zero value of buoyancy ratio and solute Rayleigh number. The increasing value of N magnifies the heat and mass transports in the system due to the augmented buoyancy effect resulted from the thermal and solutal gradients. The increase of solid inner cylinder radius, by fixing its volume, makes the annulus slender which yields to decrease the heat and mass transports in the system. The effects of LTNE parameter and cross-diffusion parameters on heat and mass transports of the system are clearly brought out. The results of LTE model are obtained at the infinite value of ratio of porosity modified thermal conductivities, ?, as a particular case of the present model. From the study, we conclude that the shallow porous annulus and tall rectangular enclosure are best suited in the design of heat removal and heat storage systems, respectively. 2021
Lakshmi K.M.; Laroze D.; Siddheshwar P.G.
International Journal of Heat and Mass Transfer, Vol-184
https://doi.org/10.1016/j.ijheatmasstransfer.2021.122294 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121129197&doi=10.1016%2fj.ijheatmasstransfer.2021.122294&partnerID=40&md5=8763372d695cd5610b670bf4671c2eb6
Lakshmi K.M., Instituto de Alta Investigaci, Sede Esmeralda, Universidad de Tarapac Av. Luis Emilio Recabarren 2477, Iquique, Chile; Laroze D., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Casilla 7D, Arica, Chile; Siddheshwar P.G., CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India
A study of the natural convection of water- AA 7075 nanoliquids in low-porosity cylindrical annuli using a local thermal non-equilibrium model
Natural convection in nanoliquid-saturated porous cylindrical annuli due to uniform heat and mass influxes from the solid cylinder and effluxes from the outer hollow cylinder is investigated analytically. The Darcy model and the modified version of the Buongiorno two-phase model are used, and local thermal non-equilibrium between the phases is assumed. A nanoliquid-saturated porous medium made up of glass balls with a dilute concentration of AA7075 alloy nanoparticles well-dispersed in water is considered. Out of three types of annuli considered, shallow annuli provide the best heat transport and tall annuli show the worst performance. The presence of a dilute concentration of nanoparticles significantly enhances the heat transport in the system. Of nine nanoparticle shapes considered, lamina-shaped nanoparticles enhance heat transport the most. Heat transport is enhanced in the case of heat-and-mass-driven convection compared to the case of purely heat-driven convection. The results for a rectangular enclosure are obtained as a particular case of the present study. Two asymptotic routes that take us to the results of thermal equilibrium are shown. The vanishing limit of the concentration Rayleigh number yields the result for a single-phase model. Results for the base-liquid-saturated porous medium form a limiting case of the present study. We conclude that a shallow cylindrical annulus saturated with water-AA7075 lamina-shaped alloy nanoparticles is best suited for heat transfer due to its high effective thermal conductivity in comparison with that of other shaped nanoparticles and a tall rectangular enclosure saturated by water is best suited for heat storage applications. 2021 Author(s).
https://doi.org/10.1063/5.0039302 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103350960&doi=10.1063%2f5.0039302&partnerID=40&md5=ba5104c594299d54835c85032e1ec1a4
Lakshmi K.M., Instituto de Alta Investigaci, Sede Esmeralda, Universidad de Tarapac Av. Luis Emilio Recabarren 2477, Iquique, Chile; Laroze D., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Casilla 7D, Arica, Chile; Siddheshwar P.G., CHRIST (Deemed to Be University), Hosur Road, Bengaluru, 560029, India
Theoretical Prediction of the Number of B&#xE9;nard Cells in Low-Porosity Cylindrical/Rectangular Enclosures Saturated by a Fast Chemically Reacting Fluid
B&#xE9;nard cells; chemically reactive fluid; cylindrical and rectangular enclosures; Darcy&#x2013;B&#xE9;nard convection; linear stability analysis
Many applications including chemical engineering and meteorology require the study of a chemically driven convection in cylindrical, as well as rectangular enclosures. The present paper reports a unified analysis of a chemically driven convection in densely packed porous cylindrical/rectangular enclosures saturated by a chemically reactive binary fluid mixture. Employing the degeneracy technique and the single-term Galerkin method involving Bessel functions in a linear stability analysis, an analytical expression for the critical Rayleigh number, (Formula presented.), was obtained. An analytical expression for the number of cells that manifest in a given enclosure, at the onset of convection, was derived from (Formula presented.). The connection between the stabilizing and destabilizing effects of various parameters and the size or the number of B&#xE9;nard cells that manifest are described in detail. The results depicted that the chemical parameters related to the heat of reaction destabilize and the parameter depending inversely on the rate of the chemical reaction stabilizes the system. In the latter case, a greater number of smaller cells were formed in the system compared to the former case. Hence, we concluded that the chemically reactive fluid advances the onset of convection compared to the chemically non-reactive fluid. The results of a similar problem in rectangular enclosures of infinite horizontal extent and chemically non-reactive liquid-saturated porous medium were recovered as limiting cases. Thus, the present model presents a unified analysis of six individual problems. 2023 by the authors.
Lakshmi K.M.; P&#xE9;rez L.M.; Siddheshwar P.G.; Laroze D.
Sustainability (Switzerland), Vol-15, No. 15
Multidisciplinary Digital Publishing Institute (MDPI)
https://doi.org/10.3390/su151511999 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167923345&doi=10.3390%2fsu151511999&partnerID=40&md5=feb4aeb26b46eb2c20e159393f91840d
Lakshmi K.M., Department of Mathematics, School of Physical Sciences, Central University of Karnataka, Kalaburagi, 585367, India; P&#xE9;rez L.M., Departamento de F&#x00ED;sica, FACI, Universidad de Tarapac&#x00E1;, Casilla 7D, Arica, 1000000, Chile; Siddheshwar P.G., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Laroze D., Instituto de Alta Investigaci&#x00F3;n, Universidad de Tarapac&#x00E1;, Casilla 7D, Arica, 1000000, Chile
Linear and weakly non-linear stability analyses of Rayleigh-Bard convection in a water-saturated porous medium with different shapes of copper nanoparticles
The Rayleigh-Bard convection of a nanoliquid-saturated porous medium confined in a very shallow enclosure is investigated theoretically using the modified Buongiorno - Brinkman model. In the study, the chosen nanoliquid-saturated porous medium is assumed to be made up of water well dispersed with copper(Cu) nanoparticles of five different shapes saturating in a 30% reinforced polycarbonate glass fiber(GF) porous material of high porosity and its effective thermophysical properties are calculated using the phenomenological laws or mixture theory. Two kinds of boundary conditions, viz., stress-free and rigid, are employed and the analytical solution is obtained in both cases. On the other hand, Rayleigh-Bard convection in a very shallow domain of height 5mm and width 5cm filled with water-liquid and bounded by the rigid boundaries is simulated. The simulation results are then compared with the analytical results in the case of rigid boundaries. We found that the analytical results are in good agreement with those of the simulation results and this validates results of the present study. Linear and weakly non-linear stability analyses are performed to find the onset and the heat transport of the system. The effects of various parameters on the onset and heat transport of the system are depicted graphically and the physical explanation is provided for all observed results in the study. We found that the addition of dilute concentration of nanoparticles advances the onset and thereby enhances the heat transport in the system. Among five different shapes of copper nanoparticles, maximum and minimum heat transports are observed in the cases of blade and spherical shaped nanoparticles, respectively. The porous medium parameters: Brinkman number and porous parameter, show a stabilizing effect in the system. The existence of subcritical motions is also predicted for the system. The results of the Khanafer-Vafai-Lightstone(KVL) single-phase model, nanoliquid, base liquid and base liquid-saturated porous medium are obtained as limiting cases of the present study. Since nanoparticles and porous medium, respectively, show a destabilizing and stabilizing nature of influence in the system, the present work has possible applications in both heat removal and heat retainment systems. 2022, The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature.
Lakshmi K.M.; Siddheshwar P.G.; Ismail F.; Laroze D.
European Physical Journal Plus, Vol-137, No. 6
Lakshmi K.M., Instituto de Alta Investigaci, Sede Esmeralda, Universidad de Tarapac Av. Luis Emilio Recabarren 2477, Iquique, Chile; Siddheshwar P.G., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Ismail F., School of Aerospace Engineering, Universiti Sains Malaysia, Pulau Pinang, 14300, Malaysia; Laroze D., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Casilla 7D, Arica, Chile