A Cross-Sectional Study on Mental Health of School Students during the COVID-19 Pandemic in India
subject: COVID-19; level based weight assessment (LBWA); mental health; picture fuzzy force field analysis (PF-FFA); school students; social support
description: The broad objective of the present study is to assess the levels of anxiety and depression of school students during the COVID-19 lockdown phase and their association with students background, stress, concerns and social support. In this regard, the present study follows a novel two stage approach. In the first phase, an empirical survey was carried out, based on multivariate statistical analysis, wherein a group of 273 school students participated in the study voluntarily. In the second phase, a novel Picture Fuzzy FFA (PF-FFA) method was applied for understanding the dynamics of facilitating and prohibiting factors for three categories of focus groups (FG), formulated on the basis of attendance in online classes. Findings revealed a significant impact of anxiety and depression on mental health. Further, PF-FFA examinedthe impact of the driving forces that steered children to attend class as contrasted to the the impact of the restricting forces. 2022 by the authors.
creator: Deb S.; Kar S.; Deb S.; Biswas S.; Dar A.A.; Mukherjee T.
source: Data, Vol-7, No. 7
publisher: MDPI
date: 2022-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 23065729
format: Online
language: English
type: Article
coverage: Deb S., Rajiv Gandhi National Institute of Youth Development, Post Box No. 6, Sriperumbudur Post, Sriperumbudur, 602105, India; Kar S., National Institute of Technology Durgapur, Mahatma Gandhi Rd, A-Zone, Durgapur, 713209, India; Deb S., Department of Psychology, CHRIST (Deemed to Be University, Hosur Rd, Bhavani Nagar, S.G. Palya, Bengaluru, 560029, India; Biswas S., Calcutta Business School, Bishnupur, 743503, India; Dar A.A., Department of Psychology, School of Liberal Arts Social Sciences, SRM University Neeru Konda, Amaravati, 522502, India; Mukherjee T., Department of Psychology, Justus-Liebig University Giessen, Ludwigstra 23, Gien, 35390, Germany

Trigonometric Cosine, Square, Sawtooth and Triangular Waveforms of Internal Heating Modulations for Three-Component Convection in a Couple Stress Liquid: A Detailed Analysis
subject: Heat transfer; Internal heat; Lorenz model; Mass transfer; Three-component convection; Venezian approach
description: In this paper, the main focus is to study the effect of internal heating modulations of sinusoidal and non-sinusoidal waveforms on a three-component convection in a couple stress liquid. This three-component layer is heated from below and salted with two solutes at the bottom. In order to facilitate a solution to the problem, linear case is formulated using the Venezian approach for modulations while the non-linear case is modeled using 7-mode generalized Lorenz equations. With the aim of quantifying the heat and mass transfer, average Nusselt and average Sherwood numbers are computed. The investigation reveals that, internal heating modulations show a stabilizing or destabilizing trend that precisely depends on the modulated frequency and appropriate waveforms. The effect of heat source and sink is recorded on different convection processes. The effect of the pertinent parameters and waveforms on the stability of the system and on heat and mass transfer have been captured via graphs. The results confirm that the heat and mass transfer escalates to its maximum due to the square waveform. In this research paper, six problems involving three types of convection in two different liquids are solved as limiting cases of the problem. 2022, The Author(s), under exclusive licence to Springer Nature India Private Limited.
creator: Arshika S.N.; Tarannum S.
source: International Journal of Applied and Computational Mathematics, Vol-8, No. 4
publisher: Springer
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 23495103
format: Online
language: English
type: Article
coverage: Arshika S.N., Department of Mathematics, Centre for Mathematical Needs, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Tarannum S., Department of Professional Studies, CHRIST (Deemed to Be University), Bengaluru, 560029, India

Breast Cancer Detection in Mammography Images Using Deep Convolutional Neural Networks and Fuzzy Ensemble Modeling Techniques
subject: breast cancer; deep CNN; DenseNet121; ensemble; fuzzy; Gompertzfunction; Inception V4; ResNet-164; VGG-11
description: Breast cancer has evolved as the most lethal illness impacting women all over the globe. Breast cancer may be detected early, which reduces mortality and increases the chances of a full recovery. Researchers all around the world are working on breast cancer screening tools based on medical imaging. Deep learning approaches have piqued the attention of many in the medical imaging field due to their rapid growth. In this research, mammography pictures were utilized to detect breast cancer. We have used four mammography imaging datasets with a similar number of 1145 normal, benign, and malignant pictures using various deep CNN (Inception V4, ResNet-164, VGG-11, and DenseNet121) models as base classifiers. The proposed technique employs an ensemble approach in which the Gompertz function is used to build fuzzy rankings of the base classification techniques, and the decision scores of the base models are adaptively combined to construct final predictions. The proposed fuzzy ensemble techniques outperform each individual transfer learning methodology as well as multiple advanced ensemble strategies (Weighted Average, Sugeno Integral) with reference to prediction and accuracy. The suggested Inception V4 ensemble model with fuzzy rank based Gompertz function has a 99.32% accuracy rate. We believe that the suggested approach will be of tremendous value to healthcare practitioners in identifying breast cancer patients early on, perhaps leading to an immediate diagnosis. 2022 by the authors.
creator: Altameem A.; Mahanty C.; Poonia R.C.; Saudagar A.K.J.; Kumar R.
source: Diagnostics, Vol-12, No. 8
publisher: Multidisciplinary Digital Publishing Institute (MDPI)
date: 2022-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 20754418
format: Online
language: English
type: Article
coverage: Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Mahanty C., Department of Computer Science and Engineering, GIET University, Odisha 765022, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Kumar R., Department of Computer Science and Engineering, GIET University, Odisha 765022, India

Proficient randomized response model based on blank card strategy to estimate the sensitive parameter under negative binomial distribution
subject: Negative binomial distribution; Privacy protection; Randomized response model; Sensitive attribute
description: This paper has great potential for estimating population proportion who possess stigmatized character by using Negative binomial distribution as a randomization device. The properties of the proposed estimation procedure have been examined. Measure of privacy protection for the proposed randomization device has been also quantified. Empirical studies are performed to support the theoretical results, which show the dominance of the proposed estimator over its competitors. Results are analysed and suitable recommendations are put forward for survey practitioners whenever they deal with sensitive characteristics. 2021
creator: Singh G.; Singh C.
source: Ain Shams Engineering Journal, Vol-13, No. 5
publisher: Ain Shams University
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 20904479
format: Online
language: English
type: Article
coverage: Singh G., Department of Management Studies, IIT(ISM), Dhanbad, India; Singh C., Department of Statistics, CHRIST(Deemed to be University), Karnataka, Bengaluru, India

Numerical Modelling and Experimental Validation of Novel Para Winglet Tape for Heat Transfer Enhancement
subject: experimental; heat exchangers; numerical; performance evaluation
description: Heat exchangers are predominantly used in the industries of production, manufacturing, power, oil and gas, petroleum, and cooling solutions. The competence of the heat exchanger is optimized through active and passive augmented techniques. The current study revolves around the performance evaluation of Novel Para winglet tape for flow and friction characteristics. Turbulence flow properties from Re of 30,000-to-6000 were explored for three different inclinations and pitches, respectively. Experimental and numerical solutions are derived to showcase the flow behavior over Para winglet tape inserts in the double pipe heat exchanger. Appreciable results were obtained in enhancing the Nusselt number (Nup) for a better heat transfer enforcement through the DEX. All case studies also increased when compared to the smooth pipe. Experimentally, the maximum Nu and Nusselt number ratio was observed to be 398.23 and 5.05 times over the plain tube. Similarly, the maximum friction factor and its ratio were observed to be near 0.33 and 8.89 times over the plain tube. Finally, the maximum POI of 2.68 to 2.37 was achieved with 20 inclinations. The experimental and numerical outcomes of Para winglet tape with the higher inclination and shorter pitch were found to be best out of the others. 2022 by the authors.
creator: Rajashekaraiah T.; Bettaiah G.K.; Rajendran P.; Abbas M.; Khan S.A.; Saleel C.A.
source: Mathematics, Vol-10, No. 16
publisher: MDPI
date: 2022-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 22277390
format: Online
language: English
type: Article
coverage: Rajashekaraiah T., Department of Mechanical Engineering, Visvesvaraya Technological University, Karnataka, Belgaum, 590018, India, Department of Mechanical Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bengaluru, 560076, India; Bettaiah G.K., Department of Mechanical Engineering, BGSIT-Adichunchanagiri University BG Nagara, Javarana Hally, Karnataka, 571448, India; Rajendran P., School of Aerospace Engineering, Universiti Sains Malaysia, Engineering Campus, Pulau Pinang, Nibong Tebal, 14300, Malaysia, Faculty of Engineering Computing, First City University College, Selangor, Bandar Utama, Petaling Jaya, 47800, Malaysia; Abbas M., Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia, Electronics and Communications Department, College of Engineering, Delta University for Science and Technology, Gamasa, 35712, Egypt, Research Center for Advanced Materials Science (RCAMS), King Khalid University, P.O. Box 9004, Abha, 61413, Saudi Arabia; Khan S.A., Department of Mechanical Engineering, Faculty of Engineering, International Islamic University, Lumpur, Kuala, 44000, Malaysia; Saleel C.A., Department of Mechanical Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha, 61421, Saudi Arabia

Design Optimization of Electrical Connector Assembly using FEA
subject: ANSYS Mechanical APDL; Electrical Connector; housing latch
description: Due to the increasing number of devices and systems connected to an electric system, the need for reliable and high-quality electrical connectors has become more prevalent. This project aims to optimize the design of an electrical connector during its two most critical stages: insertion and retention of housing using FEA. A structural analysis is performed during the insertion and retention stages of housing. This process involves calculating the dimensional deformations and maximum strains developed during the steps mentioned above to determine the reliable functioning of electrical contacts. The input geometry is fed to the finite element analysis. The forces applied on the connectors latch on their respective connection are ensured to be under the limit. The analysis and simulation results are reflected to validate the safe forces in the connector assembly and a proper justification for an experimental set up in the laboratory. 2022, Books and Journals Private Ltd.. All rights reserved.
creator: Rohith R.; Shivakumar S.; Niranjana S.J.; Umesh V.; Darshan S.M.; Sasidhar J.
source: Journal of Mines, Metals and Fuels, Vol-70, No. 8, pp. 233-237.
publisher: Books and Journals Private Ltd.
date: 2022-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 222755; CODEN: JMMFA
format: Online
language: English
type: Article
coverage: Rohith R., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560074, India; Shivakumar S., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560074, India; Niranjana S.J., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560074, India; Umesh V., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560074, India; Darshan S.M., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560074, India; Sasidhar J., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560074, India

Enhanced radial basis function neural network for tomato plant disease leaf image segmentation
subject: Enhanced radial basis function; Feature extraction; Modified sunflower optimization; Segmentation; Tomato leaf disease
description: Primary crop losses in agriculture are due to leaf diseases, which farmers cannot identify early. If the diseases are not detected early and correctly, then the farmer will have to undergo huge losses. Therefore, in the field of agriculture, the detection of leaf diseases in tomato crops plays a vital role. Recent advances in computer vision and deep learning techniques have made disease prediction easy in agriculture. Tomato crop front side leaf images are considered for research due to their high exposure to diseases. The image segmentation process assumes a significant role in identifying disease affected areas on tomato leaf images. Therefore, this paper develops an efficient tomato crop leaf disease segmentation model using an enhanced radial basis function neural network (ERBFNN). The proposed ERBFNN is enhanced using the modified sunflower optimization (MSFO) algorithm. Initially, the noise present in the images is removed by a Gaussian filter followed by CLAHE (contrast-limited adaptive histogram equalization) based on contrast enhancement and un-sharp masking. Then, color features are extracted from each leaf image and given to the segmentation stage to segment the disease portion of the input image. The performance of the proposed ERBFNN approach is estimated using different metrics such as accuracy, Jaccard coefficient (JC), Dice's coefficient (DC), precision, recall, F-Measure, sensitivity, specificity, and mean intersection over union (MIoU) and are compared with existing state-of-the-art methods of radial basis function (RBF), fuzzy c-means (FCM), and region growing (RG). The experimental results show that the proposed ERBFNN segmentation model outperformed with an accuracy of 98.92% compared to existing state-of-the-art methods like RBFNN, FCM, and RG, as well as previous research work. 2022 Elsevier B.V.
creator: Patil M.A.; M M.
source: Ecological Informatics, Vol-70
publisher: Elsevier B.V.
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 15749541
format: Online
language: English
type: Article
coverage: Patil M.A., Research Scholar, Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India, Assistant Professor, Department of Information Technology, Vasavi College of Engineering, Ibrahimbagh, Telangana, Hyderabad, 500031, India; M M., Associate Professor, Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India

Influence of perceived equity, job enrichment, and burnout among educators in Indian private universities on job satisfaction and the desire to quit
subject: burnout; desire to quit job; higher education; job enrichment; job satisfaction; perceived equity; university faculty members
description: The desire to quit converts into actual attrition if left unaddressed. Additionally, employees job satisfaction strongly influences their desire to stay or leave. Several individual and organizational factors affect job satisfaction levels, all of which must be thoroughly analyzed to curb both the desire to quit and attrition. The current study tests a model associating perceived equity, job enrichment, and burnout with job satisfaction and the desire to quit of educators employed in private universities in India. Data were collected from 272 university faculty members using five scales, namely, job enrichment, perceived equity, employee burnout, job satisfaction, and intention to leave, and were analyzed using AMOS 17. The initial fitness results failed to support the hypothesized framework, but a revised framework yielded a good fit for the data. Results show that perceived equity has a positive influence on job satisfaction (Hypothesis 2), job enrichment positively affects job satisfaction (Hypothesis 3), burnout negatively influences job satisfaction (Hypothesis 4), and job satisfaction negatively affects the desire to leave (Hypothesis 1). Perceived equity, burnout, and job satisfaction were found to mediate the association between job enrichment and the desire to leave. The results indicate that private universities must focus on job satisfaction to reduce employees desire to quit, thereby reducing the attrition level, which is currently a severe problem with both financial and non-financial consequences to universities. From the results, it can be seen that job enrichment has acted as a mediator to influence employees job satisfaction. Future research can explore HR practices contributing to high job enrichment, and this study would have considerable practical implications. Copyright 2022 Annamalai.
creator: Annamalai S.
source: Frontiers in Education, Vol-7
publisher: Frontiers Media S.A.
date: 2022-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 2504284X
format: Online
language: English
type: Article
coverage: Annamalai S., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India

Low temperature performance evaluation of asphalt binders and mastics based on relaxation characteristics
subject: Asphalt mastics; Correlation analysis; Low-temperature performance; Relaxation characteristics
description: Low temperature cracking is one of the main distresses of asphalt pavement in cold regions. Stress relaxation characteristics is critical for cracking resistance of asphalt materials, especially at low temperatures, but there are few studies on the relaxation characteristic of asphalt mastics. To evaluate the effects of relaxation characteristics of asphalt binders and mastics on its low temperature performance, beam bending relaxation test was carried out through dynamic thermomechanical analyzer at low temperatures. Relaxation rate and relaxation time were proposed to illustrate the relaxation characteristics of asphalt binders and mastics. Then, the low-temperature performance of asphalt binders and mastics was evaluated by bending beam rheometer (BBR), glass transition temperature (Tg), and single edge notch beam bending test. Finally, the correlation of relaxation characteristics with low-temperature properties was analyzed based on Pearsons correlation coefficient and Spearman rank correlation coefficient. The results show that the elasticity of asphalt mastics increases with incorporation of mineral fillers and thus the viscous deformation potential is reduced, which affects the stress relaxation capability. The low-temperature cracking performance of asphalt mastics is indeed compromised as compared with asphalt binders, and the asphalt mastics prepared with fly ash performs the worst since it presents a stronger hardening effect. Fracture energy is determined not to be suitable for evaluating the low-temperature performance of asphalt mastics since its results contradict the BBR and Tg tests. The maximum displacement at fracture can better characterize the brittleness of asphalt materials at low temperatures. The relaxation characteristic index has the strongest correlation with Tg of asphalt binders and mastics, followed by maximum displacement at fracture and comprehensive compliance parameter (Jc). The correlation coefficients are almost larger than 0.5,…
creator: Zheng W.; Yang Y.; Chen Y.; Yu Y.; Hossiney N.; Tebaldi G.
source: Materials and Structures/Materiaux et Constructions, Vol-55, No. 7
publisher: Springer Science and Business Media B.V.
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 13595997; CODEN: MASTE
format: Online
language: English
type: Article
coverage: Zheng W., School of Highway, Changan University, Middle Section of Nanerhuan Road, Shaanxi, Xian, 710064, China; Yang Y., School of Highway, Changan University, Middle Section of Nanerhuan Road, Shaanxi, Xian, 710064, China; Chen Y., School of Highway, Changan University, Middle Section of Nanerhuan Road, Shaanxi, Xian, 710064, China; Yu Y., School of Highway, Changan University, Middle Section of Nanerhuan Road, Shaanxi, Xian, 710064, China; Hossiney N., Department of Civil Engineering, CHRIST University, Karnataka, Kumbalgodu, Bengaluru, 560074, India; Tebaldi G., Department of Engineering and Architecture, University of Parma, Parma, 43125, Italy

Biological Feature Selection and Classification Techniques for Intrusion Detection on BAT
subject: Bat algorithm; Dataset; Intrusion detection system; Optimal features; SVM
description: Privacy is a significant problem in communications networks. As a factor, trustworthy knowledge sharing in computer networks is essential. Intrusion Detection Systems consist of security tools frequently used in communication networks to monitor, detect, and effectively respond to abnormal network activity. We integrate current technologies in this paper to develop an anomaly-based Intrusion Detection System. Machine Learning methods have progressively featured to enhance intelligent Anomaly Detection Systems capable of identifying new attacks. Thus, this evidence demonstrates a novel approach for intrusion detection introduced by training an artificial neural network with an optimized Bat algorithm. An essential task of an Intrusion Detection System is to maintain the highest quality and eliminate irrelevant characteristics from the attack. The recommended BAT algorithm is used to select the 41 best features to address this problem. Machine Learning based SVM classifier is used for identifying the False Detection Rate. The design is being verified using the KDD99 dataset benchmark. Our solution optimizes the standard SVM classifier. We attain optimal measures for abnormal behavior, including 97.2 %, the attack detection rate is 97.40 %, and a false-positive rate of 0.029 %. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
creator: Narayanasami S.; Sengan S.; Khurram S.; Arslan F.; Murugaiyan S.K.; Rajan R.; Peroumal V.; Dubey A.K.; Srinivasan S.; Sharma D.K.
source: Wireless Personal Communications, Vol-127, No. 2, pp. 1763-1785.
publisher: Springer
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 9296212; CODEN: WPCOF
format: Online
language: English
type: Article
coverage: Narayanasami S., Department of Computer Science and Engineering, St. Martins Engineering College, Telangana, Hyderabad, 500100, India; Sengan S., Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tamil Nadu, Tirunelveli, 627152, India; Khurram S., Biology Teacher, Teaching Human Social Biology and Applied Sciences, Roots IVY International Schools, Punjab, Faisalabad, 38000, Pakistan; Arslan F., University of Engineering and Technology, Punjab, Lahore, 39161, Pakistan; Murugaiyan S.K., Department of Information Technology, Sri Sai Ram Engineering College, Tamil Nadu, Chennai, 600044, India; Rajan R., Department of Computer Science and Engineering, Adhiyamaan College of Engineering, Tamil Nadu, Hosur, 635109, India; Peroumal V., School of Electronics Engineering, Vellore Institute of Technology, Tamil Nadu, Chennai, 600048, India; Dubey A.K., Department of Computer Science and Engineering, ABES Engineering College, Uttar Pradesh, Ghaziabad, 201009, India; Srinivasan S., Department of Electronics and Communications Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India; Sharma D.K., Department of Mathematics, Jaypee University of Engineering and Technology, Madhya Pradesh, Guna, 473226, India

An Adaptive Cluster based Vehicular Routing Protocol for Secure Communication
subject: Delay time; Optimization; Packet loss and data broadcasting ratio; Throughput; Vehicle Ad-hoc network
description: In todays scenario, Vehicular Ad-hoc Network (VANET) is one of the modern fields in vehicle communication; it includes a large number of nodes that can be changed arbitrarily with the ability to link or exit the system anytime. Moreover, it has various complexities because of the attacks model in the transmission and communication channel. Besides, most of the attacks are known as black hole attack and wormhole attack. The presence of these attacks causes large damage in the data broadcasting region that ends in data drops or collapses. To defeat these problems, a novel Clustered Vehicle Location protocol for Hybrid Krill Herd and Bat Optimization (CVL-HKH-BO) technique is proposed. Thus, the proposed mechanism of hybrid krill herd and bat optimization is to detect and prevent attacks based on the fitness function. Moreover, secure communication can be enhanced by the proposed technique. Consequently, the solution to energy consumption and packet delay issues are solved using the CVL protocol. The projected strategy is implemented in the Network simulator (Ns-2) platform, and the outcomes show the node energy, overload and delay are minimized by increasing the quantity of packets transmitted in the network. Sequentially, the proposed technique is compared with existing techniques in terms of throughput, packet loss, delay time and data broadcasting ratio. Therefore, the duration of the node can be enhanced and can attain high energy capable data transmission. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
creator: Divya N.S.; Bobba V.; Vatambeti R.
source: Wireless Personal Communications, Vol-127, No. 2, pp. 1717-1736.
publisher: Springer
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 9296212; CODEN: WPCOF
format: Online
language: English
type: Article
coverage: Divya N.S., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Vaddeswaram, 520002, India; Bobba V., Department of Computer Science and Engineering, TKR College of Engineering and Technology, Telangana, Hyderabad, 500097, India; Vatambeti R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560072, India

IPWM Based IBMSC DC-AC Converter Using Solar Power for Wide Voltage Conversion System; [Convertisseur DC-AC IBMSC bassur l'IPWM et utilisant l'ergie solaire pour un syste de conversion large tension]
description: This article proposes isolated bidirectional micro dc-ac single phase controlled (IBMSC) converter based on in-phase-voltage pulsewidth modulation (IPWM). This resonant IPWM converter, ratio of voltage conversion can be controlled from 0 to ?. So, this converter is highly referred for huge range voltage conversion. However, voltage conversion ratio determines power transfer direction and duty ratio. Power flow direction and duty cycle value can be varying smoothly, so it is suitable for dc-ac bidirectional power conversion application. Inverter mode and also rectifier mode are possible from bidirectional operation, which is controlled by a unified current controller. The proposed solution can achieve smooth switching grid operation with high efficiency. Working principle, design procedure, control strategy, and characteristics of the proposed converter are implemented with a prototype model of power rating 500 W with a voltage range of 20-50 V to test the ability of withstanding. Performance, feasibility, and effectiveness of the proposed converter are tested with this hardware test-bench model. 2022 IEEE.
creator: Suresh K.; Parimalasundar E.
source: IEEE Canadian Journal of Electrical and Computer Engineering, Vol-45, No. 4, pp. 394-400.
publisher: IEEE Canada
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 26941783
format: Online
language: English
type: Article
coverage: Suresh K., The Department of EEE, Christ (deemed to be university), Bengaluru, 517102, India; Parimalasundar E., The Department of EEE, Sree Vidyanikethan Engineering College, Tirupati, 517102, India

From maximum force to the field equations of general relativity and implications
subject: field equations; General relativity; maximum force; maximum power
description: There are at least two ways to deduce Einstein's field equations from the principle of maximum force c4/4G or from the equivalent principle of maximum power c5/4G. Tests in gravitational wave astronomy, cosmology, and numerical gravitation confirm the two principles. Apparent paradoxes about the limits can all be resolved. Several related bounds arise. The limits illuminate the beauty, consistency and simplicity of general relativity from an unusual perspective. 2022 World Scientific Publishing Company.
creator: Kenath A.; Schiller C.; Sivaram C.
source: International Journal of Modern Physics D, Vol-31, No. 14
publisher: World Scientific
date: 2022-01-01
rights: All Open Access; Green Open Access
relation: ISSN: 2182718
format: Online
language: English
type: Article
coverage: Kenath A., CHRIST (deemed to be University), Bangalore, India; Schiller C., Motion Mountain Research, Munich, Germany; Sivaram C., Indian Institute of Astrophysics, Bangalore, India

Potential, prospects, and problems of textile tourism in Kerala
subject: Community-based tourism; Khadi textile industries; Poverty alleviation; Textile tourism
description: Tourism in the textile industry has tremendous potential for future growth and development of local economies and rural communities, building upon the services provided by local governments. This study focuses on Khadi textile business operations, with a particular emphasis on textile-based businesses, and provides visitor perceptions of textile tourism. It discusses the possibilities and challenges in the local textile industry, including the dificulties faced by the weavers in marketing their goods to tourists and exporters. The questionnaire survey applied to 120 visitors from three different khadi shops in Kozhikode, Kerala. According to the study's findings, textile business centres require strategic promotional approaches to boost textile tourism. The major hurdle for weavers and independent producers is a lack of direct access to visitors, as well as access to information controlled by producers, commercial interests, and gallery owners. more in the future to expand the reach of this type of tourism. The potential role that the government and tourism authorities may play an important role in designing policies that may grant this form of tourism increased visibility. 2022, Universidade de Aveiro. All rights reserved.
creator: Nikhilraj K.; Thomas J.
source: Journal of Tourism and Development, Vol-39, pp. 451-461.
publisher: Universidade de Aveiro
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 16459261
format: Online
language: English
type: Article
coverage: Nikhilraj K., Christ University, Bangalore, India; Thomas J., Christ University, Yeshwanthpur Campus, Bangalore, India

Secure Image Transmission Scheme based on DNA Sequences
subject: Ciphertext; Cryptography; Data security; DNA sequences; Performance evaluation; steganography
description: Cryptography and steganography are the most widely utilized and adopted fields of secure data communication. Data transfer can be secured using a combination of these methods. The data is transmitted from sender to receiver using cryptography, the most secure method. At the same time, steganography performs the information hiding in the form of video, image, or text within a cover image. The sensitive data is hidden, so it is not visible to the human eye. The data is stored and transferred more securely by adding DNA technology to the cryptography. It provides additional data security level and is most commonly employed to implement computation. This research developed a new method for combining cryptography with steganography. There are two phases to the proposed method: image encryption and hide phases and image extraction phases. Encryption is done by using the Signcryption algorithm. Four standard images were utilized as test material for the evaluation. Four factors are used to determine the performance of the proposed method as Peak signal-to-noise ratio (PSNR), Mean Square Error, Entropy, and Structural Similarity Index Measure (SSIM) for hiding and extracting the messages. The implementation is done in python. The proposed method achieves better performance when compared to the previously published works. 2022 Seventh Sense Research Group
creator: Padmanabhan A.S.; Sapna S.
source: International Journal of Engineering Trends and Technology, Vol-70, No. 9, pp. 194-206.
publisher: Seventh Sense Research Group
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 23490918
format: Online
language: English
type: Article
coverage: Padmanabhan A.S., CHRIST (Deemed to be University), S.G. Palya Karnataka, Bengaluru, India; Sapna S., CHRIST (Deemed to be University), S.G. Palya Karnataka, Bengaluru, India

Fast and effective removal of textile dyes from the wastewater using reusable porous nano-carbons: a study on adsorptive parameters and isotherms
subject: Adsorption; Methylene blue; Onion Peels; Porous nano-carbons; Speedy removal; Wastewater; Wastewater
description: In the present study, recyclable porous nano-carbons (PNCs) were used to remove textile dyes (mainly methylene blue, methyl orange, and rhodamine B) from an aqueous environment. Due to their high surface area and mesoporous nature, PNCs exhibited extremely fast and efficient adsorption behavior. PNCs synthesized at an elevated temperature of 1000 C are used in batch experiments, as they showed maximum dye removal with high surface area. Batch mode was used to optimize operational parameters such as initial dye concentration, contact time, adsorbent dose and pH as a function of time. Within ~7 minutes of treatment, PNCs achieved a maximum removal efficacy of ~99 percent for methylene blue. The recyclability of PNCs was investigated, and it retained its efficiency even after seven cycles. The efficacy of PNCs in treating industrial water contaminated with methylene blue dye was assessed. Different adsorption isotherms were carried out to determine maximum amount of dye that can be adsorbed on to surface of PNCs. The maximum adsorption capacity attained using Langmuir isotherm for methylene blue was around 1216.54 mg g-1. Adsorption kinetics were applied on experimental data to identify the rate of adsorption. It was confirmed that novel onion peel-based porous PNCs were successful in removing methylene blue dye effectively with short duration in comparison with other dyes mainly rhodamine B and methyl orange. Graphical abstract: [Figure not available: see fulltext.] 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
creator: Krishnappa B.; Saravu S.; Shivanna J.M.; Naik M.; Hegde G.
source: Environmental Science and Pollution Research, Vol-29, No. 52, pp. 79067-79081.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 9441344; PubMed ID: 35704233; CODEN: ESPLE
format: Online
language: English
type: Article
coverage: Krishnappa B., Centre for Nano-materials & Displays, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India, Department of Civil Engineering, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India; Saravu S., Centre for Nano-materials & Displays, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India, Department of Chemistry, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India; Shivanna J.M., Department of Chemistry, AMC Engineering College, Bannerghatta Road, Bengaluru, 560083, India; Naik M., Department of Civil Engineering, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India; Hegde G., Centre for Nano-materials & Displays, B.M.S. College of Engineering, Bull Temple Road, Basavanagudi, Karnataka, Bengaluru, 560 019, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India

Effect of salt fingers on heat transfer for different non-uniform concentration profiles in a micropolar liquid
subject: double-diffusive convection; heat tansfer; micropolar fluid; non-uniform concentration gradients; non-uniform temperature gradients; phase of concentration flow; salt fingers
description: This paper discusses the theoretical aspects of the effect of salt fingers on heat transfer for different non-uniform concentration profiles in a micropolar liquid layer kept between two parallel plates of infinite extent separated by a thin layer, heated and soluted from above. The onset of salt finger convection (convection due to the salt finger process) is studied through the linear stability analysis theory. The system of partial differential equations is solved numerically using the normal mode analysis method and the required solution is found by applying the Galerkin method. The effect of heat transfer and concentration of micropolar liquid is obtained for (i) freefree, (ii) rigidrigid, and (iii) rigidfree isothermal, permeable with no-spin boundary conditions. The effect of different micropolar parameters (i.e.,coupling parameter, micropolar heat conduction parameter, couple stress parameter, and inertia parameter) has been analyzed on the onset of stationary convection, and the results are depicted graphically. It is shown that different non-uniform concentration gradients, diffusivity ratio, coupling parameter, and solutal Rayleigh number influence the heat transfer in the system. The phase of concentration flow for different boundary conditions is compared and analyzed. 2022 Wiley Periodicals LLC.
creator: Daniel N.M.; Arun Kumar N.; Lingamneni V.; Tom T.
source: Heat Transfer, Vol-51, No. 7, pp. 6450-6469.
publisher: John Wiley and Sons Inc
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 26884534
format: Online
language: English
type: Article
coverage: Daniel N.M., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Arun Kumar N., School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Lingamneni V., Department of Mathematics, Sir MV PU College, Karnataka, India; Tom T., Department of Mathematics, St. Francis College, Bangalore, India

?-cyclodextrin functionalized graphitic carbon nitride as a promising electrocatalyst for the selective oxidation of Tetrahydrofurfuryl alcohol
subject: Cyclodextrin; Electrocatalyst; Graphitic carbon nitride; Tetrahydrofurfural; Tetrahydrofurfuryl alcohol
description: Selective electrochemical conversion of Tetrahydrofurfuryl alcohol (THFA) was facilitated employing ??cyclodextrin (??CD) functionalized graphitic carbon nitride (GCN) based nanocomposite. The GCN bulk were obtained by subjecting melamine to pyrolysis and further the material was exfoliated to improve its optoelectronic properties. Non-covalent attachment of ??CD over GCN via ultrasonication creates reactive surface sites on the electrode (??CD/GCN/CFP) facilitating a better host-guest interaction. The cyclic voltammetry and chronoamperometry techniques were employed to investigate the reaction mechanism (qualitative) and kinetics (quantitative) respectively of 2,2,6,6-Tetramethyl-1-piperidinyloxy (TEMPO) mediated electrochemical oxidation of THFA. Further, on subjecting the reaction mixture to bulk electrolysis, the desired product was isolated with yield of 78%. The enhanced efficacy, stability and repeatability of the developed heterogenous catalyst aims to surpass all other conventional synthesis of Tetrahydrofurfural (THFF). 2022 Elsevier Ltd
creator: Benny L.; Varghese A.; Sirimahachai U.; Hegde G.
source: Electrochimica Acta, Vol-430
publisher: Elsevier Ltd
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 134686; CODEN: ELCAA
format: Online
language: English
type: Article
coverage: Benny L., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Sirimahachai U., Centre of Excellence for Innovation in Chemistry and Division of Physical Science, Faculty of Science, Prince of Songkhla University, Hat Yai, Songkhla, 90110, Thailand; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India

A cross-country analysis of the relationship between human capital and foreign direct investment
subject: Country groups; Educational attainment; FDI; Human capital; Panel regression; ZhangMarkusen hypothesis
description: Purpose: The ZhangMarkusen (Z-M) inverse U-shape theory uses education as a human capital variable to investigate the impact of educational attainment on foreign direct investment (FDI) inflows to a country. The objective of this research is to empirically test this theory in a cross-country framework. Design/methodology/approach: Fixed effect panel regression has been used to test the Z-M hypothesis for 172 countries for the period 19902015. For the purpose of this study, countries were divided into four groups as per the World Bank classification: Low-income economies, lower middle-income countries, upper middle-income economies and high-income economies. Findings: The findings of this study reinforce the proposition that macroeconomic factors are the major determinants of FDI inflows into various countries. The authors find that the size of the market measured by gross domestic product (GDP), the growth potential of the market measured by real GDP growth rate and the availability of infrastructure are the major factors that enhance the attractiveness of a country as an FDI destination. Originality/value: Though the Z-M theory has been empirically tested in cross-country frameworks, no consensus has been reached. Thus, it is interesting to look again at the validity of the Z-M hypothesis using data covering longer and more recent periods. The study includes both macroeconomic and human capital determinants of FDI, so as to arrive at a comprehensive model explaining the FDI flows into various countries. 2021, Emerald Publishing Limited.
creator: Sethi M.; Baby S.; Sharma A.M.
source: Journal of Economic Studies, Vol-49, No. 7, pp. 1197-1211.
publisher: Emerald Publishing
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 1443585
format: Online
language: English
type: Article
coverage: Sethi M., Symbiosis Institute of Business Management Bengaluru, Symbiosis International (Deemed University), Pune, India; Baby S., Management, Symbiosis Institute of Business Management Bengaluru, Symbiosis International (Deemed University), Pune, India; Sharma A.M., Department of Professional Studies, Christ University, Bangalore, India

Enablers of Successful Fiscal Decentralisation: A Case Study of Three Gram Panchayats in Kerala
description: Kerala is among the few states that have a successful record in fi scal decentralisation. This study qualitatively analyses primary data from three gram panchayats in Kerala to identify the factors that enable successful decentralised fi scal governance through panchayati raj. Based on the fi ndings of the study, we have constructed a framework to assess the readiness of gram panchayats to carry out successful decentralised fiscal governance. 2022 Economic and Political Weekly. All rights reserved.
creator: Sailesh P.; Ram P.
source: Economic and Political Weekly, Vol-57, No. 41, pp. 17-24.
publisher: Economic and Political Weekly
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 129976
format: Online
language: English
type: Article
coverage: Sailesh P., Indian Institute of Technology, Guwahati, India; Ram P., Department of Economics, Christ University, Bengaluru, India