Canopy removal on satellite images using classification and contrast enhancement
subject: Canopy removal; Data mining; Image Processing; Land use; Remote Sensing
description: The increasing the usage of satellite remote sensing for a civilian purpose has proved to be the most cost-effective mapping environmental changes with regard to natural resources, particularly in developing countries. Forests as one part of the wildlife of human societies in economic growth and permanency of natural resources in the countries of the world. But because of various details such as the growth of population, progressively varying forest to the other unfitting applications such as agriculture, providing energy and fuel, millions of hectares from the natural means are destroyed every year, and the remainder of the surface changes quantitatively and qualitatively. For better management of the forests, the evolution of forest area and rate of forest concentration should be examined. It is achievable that, there isnt any change in the field of the forest during the time, but the density of forest canopy is changed. Estimation of forest canopy cover has recently become an essential part of the forest. Therefore, the research study is to develop Forest Canopy Remover, which is used to get an accurate result of Forest and deforested area from the satellite earth images. It is used to calculate forest density using vegetation. Then, the changes in area and forest density during a particular period can be distinguished. 2020 IJSTR.
creator: Prabu M.
source: International Journal of Scientific and Technology Research, Vol-9, No. 1, pp. 349-353.
publisher: International Journal of Scientific and Technology Research
date: 2020-01-01
rights: Restricted Access
relation: ISSN: 22778616
format: Online
language: English
type: Article
coverage: Prabu M., Department of Computer Science, CHRIST (Deemed to be University, Bangalore, 560029, India

Energy efficient data collection in sparse sensor networks using multiple Mobile Data Patrons
subject: Depletion problem; Mobile data Patron; Resource limited sensors; Sparse distribution; Sparse sensor networks
description: Wireless sensor networks consist of sensor nodes that can sense the environment and forward the sensed data to the destination. It takes multiple hops for the data to get transmitted from the source to the destination node. Mobile Data Patron is a high energy mobile data collector that collects data from the sensors within sparse networks. In sparse networks, the sensors detect the physical phenomenon, and the MDP is used to collect data generated by the sensors. In existing models, a single MDP is used to collect data from sensors within sparse networks. It requires high amounts of energy for long-range data transmission to the base station. The proposed work uses multiple MDPs to solve the energy depletion problem. The research also focuses on improving the data transfer rate so that the MDPs lose minimal amounts of energy. 2020
creator: Prabu P.; Ahmed A.N.; Venkatachalam K.; Nalini S.; Manikandan R.
source: Computers and Electrical Engineering, Vol-87
publisher: Elsevier Ltd
date: 2020-01-01
rights: Restricted Access
relation: ISSN: 457906; CODEN: CPEEB
format: Online
language: English
type: Article
coverage: Prabu P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Ahmed A.N., Department of Computer Engineering, Lebanese French University, Iraq; Venkatachalam K., School of CSE, VIT University Bhopal, India; Nalini S., Dept of Applied Mathematics, PSG College of Technology, Coimbatore, India; Manikandan R., School of CSE, VIT University Bhopal, India

Corpus based sentimenal movie review analysis using auto encoder convolutional neural network
subject: 1500; 1501; 1511; 4500; 4501; Corpus; Dimensionality reduction; Feature extraction; Feature selection; Sentiment analysis; Word disambiguation
description: In natural language processing, most prominent branch is sentiment analysis. Peoples emotions and attitudes are analyzed using this sentiment analysis towards service, some product, etc. In prediction of the future scope of a product, some benefits are given by sentiment analysis. However, manual analysis of such a huge amount of documents is a highly tedious task, especially with limited time. Hence, for solving this problem, various attempts are made in literature and proposed different sentiment analysis methods. However, in generation of lexicon, popular NLP tools has some drawbacks. The accuracy of lexicons based on humans is less and they are limited too. On the other hand, lexicons based on dictionary are highly general and they are domain specific. So, a technique called Corpus Integrated Autoencoder Convolutional Neural Network based Sentiment Analysis (CI-AECNN) is proposed in this work for solving this issue. The sentiment lexicon generation based on corpus is performed in this work. Candidates sentiment orientation are computed using this and seed lexicon are added with recognized sentiment words and from seed lexicon, words with incorrect sentiment are removed. The long short-term memory (LSTM) is used for performing Word Sense Disambiguation. Conditional random fields are used for extracting features. At last, auto-encoder, convolutional neural network is used for performing classification. In MATLAB simulation environment, conducted this research works overall analysis and it indicates that better results are produced by proposed technique when compared with available techniques. 2021 Taru Publications.
creator: Prabu P.; Sivakumar R.; Ramamurthy B.
source: Journal of Discrete Mathematical Sciences and Cryptography, Vol-24, No. 8, pp. 2323-2339.
publisher: Taylor and Francis Ltd.
date: 2021-01-01
rights: Restricted Access
relation: ISSN: 9720529
format: Online
language: English
type: Article
coverage: Prabu P., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Sivakumar R., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Ramamurthy B., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India

Secured and flexible user authentication protocol for wireless sensor network
subject: Cryptography complexity; Random key generation; Secured protocol; User authentication; User hacking
description: Purpose: In wireless sensor network (WSN), user authentication plays as a vital role in which data sensing, as well as sharing, will be spoiled by hackers. To enhance user security, user authentication must be focused. Design/methodology/approach: In previous works, for secured authentication, Enhanced User Authentication Protocol (EUAP) is presented. On the other hand, the user free password generation is permitted in the previous technique. Findings: Here, password leakage may cause a malevolent user's contribution to the WSN environment. By presenting the Flexible and Secured User Authentication Protocol (FSUAP), this is solved in the presented technique in which secured as well as reliable sharing of data contents via unsecured wireless sensor devices was accomplished. Originality/value: The foremost objective of the present technique is to device the protocol that would verify the users beforehand letting them access the sensor devices situated in various sites. The use of a sensor device could be reduced in a significant way. Three-factor authentication protocols are presented in place of two-factor authentication protocol in the presented technique that could deal with and safeguard the environment from a brute force attack in an effective manner. 2020, Emerald Publishing Limited.
creator: Prabu P.; T S.
source: International Journal of Intelligent Unmanned Systems, Vol-8, No. 4, pp. 253-265.
publisher: Emerald Group Holdings Ltd.
date: 2020-01-01
rights: Restricted Access
relation: ISSN: 20496427
format: Online
language: English
type: Article
coverage: Prabu P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; T S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India

Covid-19 ct lung image segmentation using adaptive donkey and smuggler optimization algorithm
subject: Adaptive donkey and snuggler optimization.bi-directional long short termmemory; Coronavirus disease 2019; Randomly selected propagation; Semi-supervised learning
description: COVID'19 has caused the entire universe to be in existential health crisis by spreading globally in the year 2020. The lungs infection is detected in Computed Tomography (CT) images which provide the best way to increase the existing healthcare schemes in preventing the deadly virus. Nevertheless, separating the infected areas in CT images faces various issues such as lowintensity difference among normal and infectious tissue and high changes in the characteristics of the infection. To resolve these issues, a newinf-Net (Lung Infection Segmentation Deep Network) is designed for detecting the affected areas from the CT images automatically. For the worst segmentation results, the Edge-Attention Representation (EAR) is optimized using Adaptive Donkey and Smuggler Optimization (ADSO). The edges which are identified by the ADSO approach is utilized for calculating dissimilarities. An IFCM (Intuitionistic Fuzzy C-Means) clustering approach is applied for computing the similarity of the EA component among the generated edge maps and Ground-Truth (GT) edge maps. Also, a Semi-Supervised Segmentation (SSS) structure is designed using the Randomly Selected Propagation (RP) technique and Inf-Net, which needs only less number of images and unlabelled data. Semi-Supervised Multi-Class Segmentation (SSMCS) is designed using a Bi-LSTM (Bi-Directional Long-Short-Term-memory), acquires all the advantages of the disease segmentation done using Semi Inf-Net and enhances the execution of multi-class disease labelling. The newly designed SSMCS approach is compared with existing U-Net++, MCS, and Semi-Inf-Net. factors such as MAE (Mean Absolute Error), Structure measure, Specificity (Spec), Dice Similarity coefficient, Sensitivity (Sen), and Enhance-Alignment Measure are considered for evaluation purpose. 2022 Tech Science Press. All rights reserved.
creator: Prabu P.; Venkatachalam K.; Alluhaidan A.S.; Marzouk R.; Hadjouni M.; El Rahman S.A.
source: Computers, Materials and Continua, Vol-71, No. 1, pp. 1133-1152.
publisher: Tech Science Press
date: 2022-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 15462218
format: Online
language: English
type: Article
coverage: Prabu P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Venkatachalam K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Alluhaidan A.S., Information Systems Department, College of Computer and Information Science, Princess Nourah Bint Abdulrahman University, Riyadh, 84428, Saudi Arabia; Marzouk R., Department of Mathematics, Faculty of Science, Cairo University, Giza, 12613, Egypt; Hadjouni M., Computer Sciences Department, College of Computer and Information Science, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia; El Rahman S.A., Computer Sciences Department, College of Computer and Information Science, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia, Department of Electrical Engineering, Faculty of Engineering-Shoubra, Benha University, Cairo, Egypt

An improved LSTM based thermal prediction and control algorithm for battery management system in hybrid electric vehicles
subject: Adaptive learning; Battery; Electric vehicles; LSTM; Optimization; Reliability; Thermal management
description: Effective thermal management of lithium-ion batteries is critical for ensuring safety, longevity, and optimal performance in Hybrid Electric Vehicles (HEV). This research proposes an improved Long Short-Term Memory (LSTM) based thermal prediction and control algorithm for Battery Management Systems (BMS) to enhance temperature regulation accuracy and computational efficiency. The proposed model integrates an optimized LSTM network with attention mechanisms to capture long-term dependencies in thermal dynamics while reducing prediction latency. A multi-physics-based thermal model is employed to generate high-fidelity training data, accounting for electrochemical-thermal coupling effects. The algorithm incorporates adaptive learning rates and dropout regularization to mitigate overfitting and improve generalization under varying load conditions. A model predictive control framework is designed to leverage real-time LSTM predictions for proactive cooling strategy optimization, minimizing energy consumption while maintaining safe operating temperatures. The proposed model reached RMSE of Heat generation rate of 1.08 W/mA3, Entropy coefficient Error of 0.024 mV/K, Thermal conductivity of 0.626 w/mK, Latency of 28 ms, Cooling energy Consumption of 314.61 kWh and Temperature deviation of 3.34 AC. The proposed solution offers a computationally efficient, scalable framework for next-generation BMS, enhancing battery reliability and vehicle efficiency. 2025 Elsevier Ltd
creator: Prabu, P.; Ganeshkumar, P.; Krishnan, Prabhakar; Dhanasekaran, S.; Jiang, Weiwei; Logeshwaran, J.
source: International Communications in Heat and Mass Transfer;Volume;169;Issue;;Article No.;109930;
publisher: Elsevier Ltd
date: 01-01-2025
rights: Restricted Access; Hardcopy may be available in the library
relation: ISSN: 7351933; CODEN: IHMTD
format: online
language: English
type: Article
coverage: Prabu P., Department of Information Systems, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11442, Saudi Arabia; Ganeshkumar P., Department of Computer Science, College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Krishnan P., Center for Cyber Security and Networks, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India; Dhanasekaran S., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Tamil Nadu, Coimbatore, 641202, India; Jiang W., School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China; Logeshwaran J., Department of Computer Science, Christ University, Karnataka, Bengaluru, 560029, India

Gender differences in social capital and job search methods in the information technology industry in bangalore
description: The existence of transaction costs in recruitments and information asymmetry in the labour markets could lead to a preference for informal methods of job search for potential employees and referral-based recruitments for employers. This preference is explicit in the Information Technology (IT) industry, which promotes an incentive-based referral recruitment system. However, such a system raises questions as to whether a level playing field is available for men and women alike to compete for available jobs in the industry. The paper aims at shedding light on the differences in social capital characteristics of men and women, in their job search choices between formal and informal methods, and the implications of the same in the labour market through a gendered perspective. Additionally, the paper explores the association between the strength of ties in informal networks, on one hand, and income and job satisfaction in jobs found through these networks, on the other. The study finds that there are considerable differences in the social capital characteristics of male and female IT employees. The relationship between the strength of ties in informal contacts used to find the current job and job satisfaction are consistent with the existing theoretical insights. However, there is no statistically significant relationship between the strength of ties and income. 2017, Springer India. All rights reserved.
creator: Pradeep D.
source: Indian Journal of Labour Economics, Vol-55, No. 3, pp. 501-517.
publisher: Springer
date: 2012-01-01
rights: Restricted Access
relation: ISSN: 9717927
format: Online
language: English
type: Article
coverage: Pradeep D., Department of Economics, Christ University, Bangalore, India

Well-being of North Eastern Migrant Workers in Bangalore
subject: Day Reconstruction Method; gender well-being; Migrant life satisfaction; quality of life; subjective well-being
description: This paper explores the quality of life and subjective well-being of north-east migrant workers engaged in various formal and informal jobs in Bangalore. The composite well-being index reveals moderate well-being for the majority of workers. The disaggregated analysis, however, shows poor material conditions of life. Using the Day Reconstruction Method, we also find positive emotions associated with activities such as socialising but negative emotions for work and commuting. With respect to interacting partners, the negative emotions were highest while dealing with clients and customers. We also found positive correlations between life satisfaction and quality of life indicators, most strongly, with job quality. Lower quality of jobs, reported by women in comparison to men, suggests that organisations should aim to create more equal and enabling work spaces for all genders. 2020 Institute for Human Development.
creator: Pradeep D.; Adaina K.C.; Kahmei S.
source: Indian Journal of Human Development, Vol-14, No. 1, pp. 99-114.
publisher: Sage Publications India Pvt. Ltd
date: 2020-01-01
rights: Restricted Access
relation: ISSN: 9737030
format: Online
language: English
type: Article
coverage: Pradeep D., Department of Economics, CHRIST (Deemed to be University), Bangalore, India; Adaina K.C., Department of Economics, CHRIST (Deemed to be University), Bangalore, India; Kahmei S., Department of Economics, CHRIST (Deemed to be University), Bangalore, India

Job Search Methods in the Software Industry in Bangalore: Does Social Capital Matter?
subject: Job search; Social capital; Social networks
description: Heterogeneity of workers and jobs results in imperfections such as information asymmetry in the labour market. Acquisition and evaluation of information by buyers and sellers to arrive at a decision is, therefore, both difficult and costly. Referrals in the labour market act as a conduit through which necessary information flows between prospective employers and job seekers, thereby reducing problems associated with information asymmetry. The information technology (IT) industry hires about a quarter of their workforce through referrals. We look at realised job search outcomes of IT workers some of whom have found jobs through informal methods of search deploying their social networks while others through formalised channels of recruitment. We examine social capital, human capital and firm-specific differences among those who found jobs through formal vis-a-vis informal methods of search. The empirical analysis is primarily descriptive and is based on a survey conducted among software workers in the IT industry in Bangalore. The results suggest that there are no significant differences in the human capital characteristics of workers between the two methods of job finding. However, certain social capital and firm-specific characteristics significantly differ among the methods of job finding. 2019, Indian Society of Labour Economics.
creator: Pradeep D.; Muraleedharan S.
source: Indian Journal of Labour Economics, Vol-61, No. 4, pp. 681-699.
publisher: Springer
date: 2018-01-01
rights: Restricted Access
relation: ISSN: 9717927
format: Online
language: English
type: Article
coverage: Pradeep D., Christ University, Bangalore, India; Muraleedharan S., Maharajas College, Ernakulam, Cochin, India

HumanComputer Interaction Technique for Irrigation and Sun Tracking Solar Panel Model
subject: HCI; IoT; LDR; Smart irrigation; Solar tracking
description: Humancomputer interaction (HCI) is an acquainted field of study concentrating on the design of computer innovation and, specifically, the interaction between computers and humans. While at first about computers, HCI has since extended to cover practically all types of data innovation design. Agriculture uses most of the natural resources, and the use of these natural resources will increase. In irrigation system, depending upon the moisture of the soil, water is provided to the plant. Two things are very important, first to get information about the humidity and temperature of the soil and second to measure the soil moisture. The Bluetooth module is added in the system so the water can be controlled through the mobile device. A solar tracking system is used to track the solar rays and convert them into electricity for pumping of water for irrigation purposes. There is a motor and two solenoid valves which control the water supply, according to the information obtained from the sensors which are placed. In a solar tracking system, LDRs are used as the main light sensors. The sensors are used to sense the soil moisture, temperature, and humidity, and if the moisture content is very low, then the motor is automatically switched on and will be turned off after getting the required water to the soil. For this, there is a GSM that is used to send the notification to the farmers. This chapter deals with the process of implementing an IoT-based model for smart irrigation and sun tracking solar panel for electricity to reduce human efforts. 2020, Springer Nature Switzerland AG.
creator: Pradeep F.; Boneyfus N.; Theres S.; Gokul S.; Aurelia S.
source: EAI/Springer Innovations in Communication and Computing, pp. 99-118.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2020-01-01
rights: Restricted Access
relation: ISSN: 25228595
format: Online
language: English
type: Book chapter
coverage: Pradeep F., Department of Computer Science, Christ University, Bengaluru, India; Boneyfus N., Department of Computer Science, Christ University, Bengaluru, India; Theres S., Department of Computer Science, Christ University, Bengaluru, India; Gokul S., Department of Computer Science, Christ University, Bengaluru, India; Aurelia S., Department of Computer Science, Christ University, Bengaluru, India

Examining the impact of website layout and dark triad approach on real estate purchase decisions in India: a young adult socialization mediated model
subject: Dark triad approach; Machiavellianism; Narcissism; Psychopathy; Real estate purchase decisions; Website quality; Young adult socialization
description: Purpose: This study aims to determine website quality, young adult socialization and dark triad personality as the factors influencing the real estate purchase decision. In addition, this study also measures the mediating effects of young adult socialization on real estate purchase buying behavior. Design/methodology/approach: Related literature, quantifiable variables with a five-point Likert scale, hypothesis testing and mediators are used to study the model. A systematic questionnaire that was divided into four sections was used. A total of 336 valid responses were collected and analyzed through a structural equation model. Findings: The results suggest that dark triad personality and young adult socialization considerably affect real estate purchase decisions. The development proves website quality does not significantly impact real estate purchase behavior. Research limitations/implications: This study is limited to a few young consumers responses. Future studies could be more widespread globally and should include more variables and offline methods of purchasing behavior. Originality/value: As per the review of existing literature, this research is the first, to the best of the authors knowledge, to determine the factors affecting the real estate purchase decision with factors like website quality, dark triad personalities and young adult socialization involving it. 2024, Emerald Publishing Limited.
creator: Pradeep I.; George J.P.; Davidson B.G.J.
source: International Journal of Housing Markets and Analysis
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17538270
format: Online
language: English
type: Article
coverage: Pradeep I., School of Business and Management, Christ University, Bangalore, India; George J.P., School of Business and Management, Christ University, Bangalore, India; Davidson B.G.J., School of Business, University of the Fraser Valley, Abbotsford, Canada, Department of Marketing, Strategy and Entrepreneurship, University Canada West, Vancouver, Canada, Acsenda School of Management, Vancouver, Canada

Studies on Parametric Optimization of HVOF-Sprayed Cr2O3 Coatings on Al6061 Alloy
subject: Adhesion; Chromium oxide coating; Microhardness; Porosity; Taguchi method
description: High-velocity oxy-fuel (HVOF) is a widely used thermal spray technique to obtain high density, high bond strength, and improved hardness coatings. In the present work, optimization of HVOF process parameters was carried out using the Taguchi method to minimize porosity and improve microhardness, and bond strength of Cr2O3 coatings. Based on the signal-to-noise ratio and analysis of variance, the significance of each process parameter and optimum parameter combination is obtained. Based on the signal-to-noise ratio, the most significant process parameter affecting porosity and microhardness was standoff distance, while for bond strength, it was powder feed rate. An optimal combination of process parameters for porosity, microhardness, and bond strength was obtained from S/N ratio analysis. For porosity, optimal parameters were standoff distance of 100rpm, powder feed rate of 30g/min, and gun speed of 250mm/s. The optimal process parameters for microhardness were standoff distance of 300rpm, powder feed rate of 50g/min, and gun speed of 200mm/s. Finally, for bond strength, the optimal process parameters were standoff distance of 300rpm, powder feed rate of 50g/min, and gun speed of 250mm/s. Statistical results for porosity, microhardness, and bond strength showed that the difference between the predicted R2 and adjusted R2 values were relatively minimal and close to the one highlighting the fitness of the regression model employed for analysis. Fracture analysis after bond strength test showed combined adhesion/cohesion type failure for the Cr2O3 coatings. 2021, The Indian Institute of Metals - IIM.
creator: Pradeep Kumar G.S.; Harish Kumar M.; Thomas S.; Yegnesh H.M.; Bharadwaj S.; Hebbar G.S.
source: Transactions of the Indian Institute of Metals, Vol-74, No. 8, pp. 2013-2025.
publisher: Springer
date: 2021-01-01
rights: Restricted Access
relation: ISSN: 9722815
format: Online
language: English
type: Article
coverage: Pradeep Kumar G.S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India; Harish Kumar M., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India; Thomas S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India; Yegnesh H.M., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India; Bharadwaj S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India; Hebbar G.S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed To Be University), Bangalore, 560074, India

Effect of salt spray parameters on TiC reinforced aluminium based in-situ metal matrix composites
subject: Primary (cast); Salt spray test; Secondary (forged); Titanium carbide (TiC)
description: This paper aims attention at characteristics of corrosion of reinforced primary and secondary processed Al6061 based composites along TiC particles. Using potassium hexaflourotitanate (K2TiF6) and potassium tetrafluoroborate (KB4) halide salts, the synthesis of composites was done utilizing in-situ technique using stir casting route at temperature 850 Celsius. Open die forging was subjected upon in-situ composites of cast aluminium alloy at a temperature 500C. Both microstructure studies and salt spray test were subjected upon to forged and cast alloy 6061 and its in-situ composites. In accordance to ASTM B117 standard test procedure, salt spray test was conducted utilizing 5% NaCl test solution. The results impart that, the alloy forged, and respective in-situ composites exhibited enhanced corrosion resistance comparatively. 2019 Elsevier Ltd. All rights reserved.
creator: Pradeep Kumar G.S.; Keshavamurthy R.; Akhil M.P.; Kumar M.H.; George V.C.; Kavya J.T.
source: Materials Today: Proceedings, Vol-46, pp. 4574-4578.
publisher: Elsevier Ltd
date: 2019-01-01
rights: Restricted Access
relation: ISSN: 22147853
format: Online
language: English
type: Conference paper
coverage: Pradeep Kumar G.S., Department of Mechanical Engineering, Christ (Deemed to Be University), Faculty of Engineering, Karnataka, India; Keshavamurthy R., Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Karnataka, India; Akhil M.P., Department of Mechanical Engineering, Christ (Deemed to Be University), Faculty of Engineering, Karnataka, India; Kumar M.H., Department of Mechanical Engineering, Christ (Deemed to Be University), Faculty of Engineering, Karnataka, India; George V.C., Department of Mechanical Engineering, Christ (Deemed to Be University), Faculty of Engineering, Karnataka, India; Kavya J.T., Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Karnataka, India

Studies on air jet erosion behavior of plasma-sprayed Cr2C3 coatings on Al6061 alloy
subject: Air jet erosion test; Al6061; Cr2C3 coating; Plasma spray coating process; Powder feed rate.; Standoff distance
description: This study assesses the efficacy of plasma-sprayed Cr2C3 coatings on AA6061 aluminum alloy in reducing erosion at different angles (30, 60, and 90). The experimental setup involved maintaining a distance of 80 mm between the components, feeding the powder at a rate of 55 g/min, and applying a current density of 460 amps. Weight loss measurements and surface morphology analyses were performed using scanning electron and confocal microscopy. The findings suggest that the Cr2C3 coating significantly improves erosion resistance when compared to specimens without any coating. The erosion angle had a significant impact on the performance of the coating. The coating experienced the least weight loss at an angle of 30 (28.45 g), followed by increased losses at angles of 60 (30.34 g) and 90 (34.2 g). These findings emphasize the significance of the impact angle in determining the severity of material removal. 2024 The Authors
creator: Pradeep Kumar G.S.; Keshavamurthy R.; M H.K.; Yogaraju R.; T S S.; Prasad C.D.
source: Results in Surfaces and Interfaces, Vol-16
publisher: Elsevier B.V.
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26668459
format: Online
language: English
type: Article
coverage: Pradeep Kumar G.S., Department of Mechanical and Automobile Engineering, CHRIST University, Bengaluru, 560074, India; Keshavamurthy R., Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bangalore, 560078, India; M H.K., Department of Mechanical and Automobile Engineering, CHRIST University, Bengaluru, 560074, India; Yogaraju R., Department of Mechanical Engineering, B. M. S College of Engineering, Bengaluru, 560004, India; T S S., Department of Robotics and Automation, Symbiosis Institute of Technology, Pune, 412115, India; Prasad C.D., Department of Mechanical Engineering, RV Institute of Technology and Management, Karnataka, Bengaluru, 560076, India

Dry Sliding Friction and Wear Performance of HVOF Sprayed WCCo Coatings Deposited on Aluminium Alloy
subject: Al6061 alloy; Friction and wear; Hardness; HVOF coatings; WCCo
description: The tribological behaviour of WCCo Cermet coatings coated on Al6061 alloy was studied in this work. WCCo Cermet coatings have been coated with different thicknesses by changing the amount of the cobalt using HVOF (High velocity oxy fuel technique). The coatings produced have been subjected to microhardness, friction and wear testing. A disc and pin type machine has been used for assessing friction and wears characteristics. The influence on tribological performance of coating thickness and cobalt levels was examined and compared with aluminium alloy. WCCo coating enhanced hardness by 34% and 42% in 100 and 200 micron thicknesses respectively, compared to aluminium alloy. The wear rate and the coefficient of friction are decreased by 48 and 12%, respectively, compared to uncoated aluminium alloy. Both coatings and substrates increase their wear rate and friction coefficient (COF) with the increase in load and sliding speed. Scanning Electron and Confocal microscopy examinations of worn surfaces were carried out to evaluate coating wear processes. 2021, The Institution of Engineers (India).
creator: Pradeep Kumar G.S.; Keshavamurthy R.; Umesh V.; Tambrallimath V.; Yadav Y.; Toufeeq T.; Arun S.
source: Journal of The Institution of Engineers (India): Series D, Vol-102, No. 2, pp. 331-344.
publisher: Springer
date: 2021-01-01
rights: Restricted Access
relation: ISSN: 22502122
format: Online
language: English
type: Article
coverage: Pradeep Kumar G.S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Keshavamurthy R., Department of Mechanical Engineering, Dayananda Sagar College of Engineering, Bangalore, India; Umesh V., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Tambrallimath V., Department of Automobile Engineering, Dayananda Sagar College of Engineering, Bangalore, India; Yadav Y., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Toufeeq T., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Arun S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India

Mechanical and tribological properties of polymer composites developed by FDM
description: In the coming years, researchers and manufacturers will be more concerned with the demand for products that are easy to construct and can be rendered seamlessly, even at complicated geometries, with the touch of a button. These requirements will be met by the advent of additive manufacturing. This will serve as the catalyst for a revolution. Additive layer manufacturing (ALM), also known as additive manufacturing (AM) or more commonly referred to as 3D printing, is a modern fabrication technology that uses a variety of raw materials to produce items such as medical implants and aircraft wing components by printing layers of material based on 3D digital models. In this chapter, the authors provide a comprehensive overview of the mechanical and tribological behaviour of ceramic, metallic, and fiber-reinforced polymer composites that are made by a range of additive manufacturing (AM) techniques. These composites can be used in a variety of applications, including aerospace, automotive, and medical. 2023, IGI Global. All rights reserved.
creator: Pradeep Kumar G.S.; Sachit T.S.; Mruthunjaya M.; Harish Kumar M.; Yogaraju R.; Jangam S.
source: Development, Properties, and Industrial Applications of 3D Printed Polymer Composites, pp. 53-65.
publisher: IGI Global
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 978-166846011-5; 1668460092; 978-166846009-2
format: Online
language: English
type: Book chapter
coverage: Pradeep Kumar G.S., CHRIST University (Deemed), India; Sachit T.S., Symbiosis Institute of Technology, Symbiosis International University (Deemed), India; Mruthunjaya M., JSS Academy of Technical Education, India; Harish Kumar M., CHRIST University (Deemed), India; Yogaraju R., BMS College of Engineering, India; Jangam S., CHRIST University (Deemed), India

Development of high performance polymer composites by additive manufacturing
description: Additive manufacturing, often known as 3D printing, is a process that involves the manufacture of physical things in a manner that is similar to building them up layer by layer. As a result of its utilization of automated procedures to generate complicated three-dimensional forms, which are either difficult or impossible to produce using conventional methods, fused deposition modeling is a typical approach that uses heat to assist in the extrusion process. The term "high-performance polymer" refers to a group of polymer materials that are known to maintain their desirable mechanical, thermal, and chemical properties when subjected to harsh environments such as high temperatures, high pressures, and corrosive chemicals. This chapter starts off with a brief introduction of conductive and high-performance polymer composites, followed by a rundown of how these materials are utilized in the 3D printing process. 2023, IGI Global. All rights reserved.
creator: Pradeep Kumar G.S.; Sachith T.S.; Jangam S.; Shivakumar S.; Hebbar G.S.
source: Development, Properties, and Industrial Applications of 3D Printed Polymer Composites, pp. 220-238.
publisher: IGI Global
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 978-166846011-5; 1668460092; 978-166846009-2
format: Online
language: English
type: Book chapter
coverage: Pradeep Kumar G.S., CHRIST University (Deemed), India; Sachith T.S., Symbiosis Institute of Technology, Symbiosis International University (Deemed), India; Jangam S., CHRIST University (Deemed), India; Shivakumar S., CHRIST University (Deemed), India; Hebbar G.S., CHRIST University (Deemed), India

Secured Electronic Transactions Using Visual Encryption: An E-Commerce Instance
subject: Authentication; CAPTCHA; Confidential Data; OTP; Transactions; Visual Encryption
description: The developments in the information technology has led the modern world to rely on the internet for digital information. People around the world depend on the internet for every information from general information to sharing confidential data over the network. Technology has grown so wide that even all the transactions are happening through online platforms. Along with this, there has been a rise in the security threats of the user's confidential data which are shared by the users while buying goods online. To maintain the security there are many authentication techniques available today like OTP, CAPTCHA etc. These security measures taken till now have been adequate till the present day but over time the hackers would find out ways to attack. Data breaches and hacking of user data would increase day by day if preventive measures are not taken time to time. This project focuses on providing security to the user's confidential data with a two way authentication technique. The aim of the project is to include one more security level to the existing online transaction system. The visual cryptographic method is used along with the OTP generating system. 2018 IEEE.
creator: Pradeep Kumar K.; Cherukuri R.C.
source: Proceedings of the International Conference on Inventive Research in Computing Applications, ICIRCA 2018, pp. 1341-1345.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2018-01-01
rights: Restricted Access
relation: ISBN: 978-153862456-2
format: Online
language: English
type: Conference paper
coverage: Pradeep Kumar K., CHRIST (Deemed to Be University), Bangalore, 560029, India; Cherukuri R.C., Nova College of Engineering and Technology, Vijayawada, 521456, India

Secure approach to sharing digitized medical data in a cloud environment
subject: Attribute-based encryption; Authentication; Cloud computing; Data privacy; Electronic medical records
description: Without proper security mechanisms, medical records stored electronically can be accessed more easily than physical files. Patient health information is scattered throughout the hospital environment, including laboratories, pharmacies, and daily medical status reports. The electronic format of medical reports ensures that all information is available in a single place. However, it is difficult to store and manage large amounts of data. Dedicated servers and a data center are needed to store and manage patient data. However, self-managed data centers are expensive for hospitals. Storing data in a cloud is a cheaper alternative. The advantage of storing data in a cloud is that it can be retrieved anywhere and anytime using any device connected to the Internet. Therefore, doctors can easily access the medical history of a patient and diagnose diseases according to the context. It also helps prescribe the correct medicine to a patient in an appropriate way. The systematic storage of medical records could help reduce medical errors in hospitals. The challenge is to store medical records on a third-party cloud server while addressing privacy and security concerns. These servers are often semi-trusted. Thus, sensitive medical information must be protected. Open access to records and modifications performed on the information in those records may even cause patient fatalities. Patient-centric health-record security is a major concern. End-to-end file encryption before outsourcing data to a third-party cloud server ensures security. This paper presents a method that is a combination of the advanced encryption standard and the elliptical curve Diffie-Hellman method designed to increase the efficiency of medical record security for users. Comparisons of existing and proposed techniques are presented at the end of the article, with a focus on the analyzing the security approaches between the elliptic curve and secret-sharing methods. This study aims to provide a high level of s…
creator: Pradeep Kumar K.; Prathap B.R.; Thiruthuvanathan M.M.; Murthy H.; Jha Pillai V.
source: Data Science and Management, Vol-7, No. 2, pp. 108-118.
publisher: KeAi Communications Co.
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26667649
format: Online
language: English
type: Article
coverage: Pradeep Kumar K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Prathap B.R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Thiruthuvanathan M.M., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Murthy H., Department of Electronics and Communication Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Jha Pillai V., Department of Electronics and Communication Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India

Air Jet Erosion Behavior of FDM-Printed PLA Composites Reinforced With Steel Powder Fillers
subject: additive manufacturing; durable engineering materials; erosion-resistant materials; high-performance PLA composites; sustainable polymer composites
description: This paper reports the air jet erosion behavior of FDM-printed polylactic acid (PLA) composites reinforced with 5 wt% and 10 wt% steel powder for solving the problem of the development of durable, sustainable, and high-performance materials for engineering applications. Test specimens were fabricated by fused deposition method with uniform dispersion of steel particles based on a twin-screw extrusion and were tested using ASTM G76 air jet erosion with angular Al2O3 particles as erodent at impact angles of 30, 60, and 90. For the material loss, pure PLA showed the maximum material loss, while steel filled composite showed significantly reduced erosion (2.38% and 14.29%, 8.16% and 18.37%, and 16.07% and 26% at 30, 60 and 90, respectively) and showed the durability of the materials and their material effective utilization. The presence of embedded steel particles was verified by SEM and confocal microscopy showing that the embedded steel particles really acted as crack stoppers, diverted the crack propagation, minimized plowing and crater formation, and improved the toughness, thus extended the potential service life and supported resource-efficient engineering solutions. Among all the compositions, the 10 wt% composite showed a better erosion resistance and the smoothest post-erosion surface owing to a higher particle density with efficiency of stress transfer. Overall, steel reinforcement significantly enhanced the erosion resistance, especially in normal impact conditions and confirmed steel-filled PLA as a suitable material for components in harsh erosive environments. 2026 The Author(s). Engineering Reports published by John Wiley & Sons Ltd.
creator: Pradeep Kumar, Gunderi Siddeshwara; Keshavamurthy, Ramiah; Selvan, Chithirai Pon; Advaith, A.; Shashi Kumar, M.E.; Lakshmikanthan, Avinash
source: Engineering Reports;Volume;8;Issue;5;Article No.;e70780;
publisher: John Wiley and Sons Inc
date: 01-01-2026
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 25778196;
format: online
language: English
type: Article
coverage: Pradeep Kumar G.S., Department of Mechanical Engineering, CHRIST University, Bengaluru, India; Keshavamurthy R., Department of Mechanical Engineering, CHRIST University, Bengaluru, India; Selvan C.P., School of Science and Engineering, Curtin University Dubai, Dubai, United Arab Emirates; Advaith A., Department of Mechanical Engineering, CHRIST University, Bengaluru, India; Shashi Kumar M.E., Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India; Lakshmikanthan A., Nitte (Deemed to be University), Nitte Meenakshi Institute of Technology (NMIT), Department of Mechanical Engineering, Bengaluru, India, Research Fellow of INTI International University, Persiaran Perdana BBN, Nilai, Malaysia