Memory response on generalized thermoelastic medium in context of dual phase lag thermoelasticity with non-local effect
dual phase lags; kernel function; memory dependent derivative; non-local continuum theory; time-delay
Theory of non-local continuum is contemporary appraised and is found to be supplementary coherent to capture the impacts of each and every point of the material at its single point. The conviction of memory dependent derivative is also newly appraised and is observed to be more intuitionistic for predicting the realistic character of the real-world obstacles. Attractiveness of the belief of a memory dependent derivative lies in its unique properties such as its significant constituents a kernel function and time-delay are freely selected according to the requirement of a problem. The present study comprises a new meticulous thermoelastic heat conduction model for the homogeneous, isotropic, thermoelastic half space medium concerning memory effects and non-local effects. Governing equations are constructed on the basis of the newly appraised non-local generalized theory of thermoelasticity with two phase lags in the frame of a memory dependent derivative. Exact analytical solutions of the physical fields such as dimensionless temperature, displacement as well as thermal stress are evaluated by using a suitable technique of the Laplace transform. Quantitative results are determined in a time-domain for different values of time by taking the numerical inversion of the Laplace transform. Noteworthy role of the constituents of the memory dependent derivative such as kernel function as well as time-delay factor has been scrutinized on the crucial field variables of the medium through computational outcomes. Moreover, the impact of non-local parameter is examined on the variations of field quantities through the quantitative results. 2022 by IPPT PAN, Warszawa.
Tiwari R.; Saeed A.M.; Kumar R.; Kumar A.; Singhal A.
Archives of Mechanics, Vol-74, No. 45718, pp. 69-88.
https://doi.org/10.24423/aom.3926 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135559208&doi=10.24423%2faom.3926&partnerID=40&md5=d8fab0acc63f86a1f25cf6d654d9619d
Tiwari R., Department of Mathematics, Nitishwar College, Constituent Unit of Babasaheb Bhimrao Ambedkar, Bihar University, Bihar, India; Saeed A.M., Department of Mathematics, Qassim University, Buraydah, Saudi Arabia; Kumar R., Department of Mathematics, Central University of South Bihar, Bihar, Gaya, India; Kumar A., Department of Mathematics, T D PG College, U.P., India; Singhal A., School of Sciences, Christ (Deemed to be University), Delhi NCR, India
Improving the Security of Video Embedding Using the CFP-SPE Method
With the amount of data being transferred on a daily basis, it is becoming increasingly dangerous to save data on the Internet in the face of intruders or hackers. This study paper is one of the most effective ways to transmit information in a secure and confidential manner. The authors previously disclosed a way for embedding a secret video inside a cover video in their prior work. The writers have implemented a number of techniques to incorporate the secret video. The current work improves on the existing approach by including encryption and decryption concepts into the video embedding process. The secret data for either a large or little amount of information is put on the cover video utilising the embedding technique. Our proposed method combines compression, encryption, decryption, and secret information embedding to provide a more secure data transfer. 2022 Karthick Panneerselvam et al.
Panneerselvam K.; Rajalakshmi K.; Helen Josephine V.L.; Rajan D.; Visalatchi L.; Mahesh K.; Tesfaye M.
Journal of Engineering (United Kingdom), Vol-2022
Panneerselvam K., Department of Computer Applications, Alagappa University, Karaikudi, India; Rajalakshmi K., Department of Computer Science, Montfort College, Bengaluru, India; Helen Josephine V.L., Business Analytics, School of Business Management, Christ University, Bengaluru, India; Rajan D., Department of Mca, Cmr Institute of Technology, Bengaluru, India; Visalatchi L., Department of It, Dr. Umayal Ramanathan College for Women, Karaikudi, India; Mahesh K., Department of Computer Applications, Alagappa University, Karaikudi, India; Tesfaye M., Addis Ababa Science and Technology University, Addis Ababa, Ethiopia
How blockchain enables financial transactions in the banking sector
banking; bitcoin; blockchain; decentralisation; ecosystem; finance; financial market; fintech; technology
Blockchain technology is the most important technological revolution of the second decade of the 21st century. The banking sector is one of the major sectors where blockchain has played a significant role in recording and processing various financial transactions, inter-bank transfers, and digital format agreements through a distributed ledger system. It harms the transactional costs, which influence the financial markets. The global financial system being the most popular sector is prone to many errors and frauds. Blockchain technology can help prevent these problems by enabling a decentralised network that permits all parties to review. The present study attempted to analyse the problems in existing banking financial transactions, understand the importance of transparency and study the usage of blockchain in the banking sector. It suggests a research model for solving financial transaction problems by applying blockchain technology. The study uplifts the security and transparency of blockchain technology throughout the paper. Copyright 2022 Inderscience Enterprises Ltd.
Kumar A.S.; Katta Lakshmi Narayan Setty V.; Ravi G.
International Journal of Business and Globalisation, Vol-31, No. 1, pp. 1-6.
https://doi.org/10.1504/IJBG.2022.124545 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135767809&doi=10.1504%2fIJBG.2022.124545&partnerID=40&md5=6e37d5e83db841eb77f409aafc452a51
Kumar A.S., Department of Professional Studies, CHRIST (Deemed to be University), Bangalore Central Campus, Karnataka, Bengaluru, India; Katta Lakshmi Narayan Setty V., Department of Commerce, St. Josephs College (Autonomous), Karnataka, Bengaluru, India; Ravi G., Department of Commerce, St. Josephs College (Autonomous), Karnataka, Bengaluru, India
Prevalence and Predictors of Restless Leg Syndrome in Adolescents and Young Adults of Bengaluru City, India: A Cross-Sectional Study
Epworth sleepiness scale; Excessive daytime sleepiness; Pittsburgh Sleep Quality Index; Restless leg syndrome; Sleep
INTRODUCTION: Restless leg syndrome (RLS) is a sensorimotor disease characterized by an urge to move the legs, often caused by uncomfortable and unpleasant sensations in the legs. It affects the quality of sleep which in turn affects scholastic performance in children and predisposes them to cardiovascular diseases in the long run. Hence, the primary aim of this study was to assess the prevalence and predictors of RLS, poor sleep quality, and excessive daytime sleepiness (EDS). METHODS: This was a cross-sectional observational study conducted between September 2017 and March 2020 in Bengaluru, India, including all consenting PreUniversity College, Degree College, and Higher Secondary school students. After parental consent and assent (if applicable) was obtained, a semi-structured standardized pilot-tested questionnaire consisting of the RLS diagnostic criteria, Pittsburgh Sleep Quality Index (PSQI), Epworth sleepiness scale, and questions on sleep hygiene was administered. The prevalence was expressed as proportions and 95% confidence intervals (95% CI). Regression analysis was done to determine the predictors. RESULTS: The overall prevalence (95% CI; frequency) of students with RLS, poor sleep quality, and EDS in our study population was 8.36% (7.54, 9.24; n = 1,544/4,211), 36.67% (35.21, 38.14; n = 1,544/4,211), and 39.87% (38.39, 41.37; n = 1,679/4,211), respectively. PSQI and Epworth score were the significant predictors of RLS. Age, Epworth score, knowledge score, and the number of unacceptable sleep habits were the significant predictors of sleep quality. Female gender, PSQI, RLS, knowledge score, and the number of unacceptable sleep habits were the significant predictors of EDS. CONCLUSIONS: The prevalence of RLS, those with poor sleep quality and EDS among adolescents and young adults was higher when compared to the historical data of general population in the same city. 2022 S. Karger AG, Basel.
Bellur S.; Thota S.S.; Raj J.P.; Kallarakal T.K.; Nadig R.
Neuroepidemiology, Vol-56, No. 4, pp. 298-305.
https://doi.org/10.1159/000525336 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137162578&doi=10.1159%2f000525336&partnerID=40&md5=7b4282da1fc91b69c1b542ecf20a7bb8
Bellur S., St. John's Medical College, Bengaluru, India; Thota S.S., St. John's Medical College, Bengaluru, India; Raj J.P., Department of Pharmacology, St. John's Medical College Hospital, Bengaluru, India; Kallarakal T.K., School of Commerce, Finance and Accountancy, Christ University, Bengaluru, India; Nadig R., Department of Neurology, St. John's Medical College Hospital, Bengaluru, India
FOXS HEAD OR LIONS TAIL? WORK LIFE BALANCE OF WOMEN ENTREPRENEURS IN AGRICULTURE AND FARM VENTURES AND ITS ANTECEDENT EFFECT ON QUALITY OF LIFE; [CABE DE RAPOSA OU RABO DE LE? EQUILRIO DA VIDA PROFISSIONAL DAS MULHERES EMPREENDEDORAS NA AGRICULTURA E EMPREENDIMENTOS AGROLAS E SEU EFEITO ANTECEDENTE NA QUALIDADE DE VIDA]; [CABEZA DE ZORRO O COLA DE LE? LA CONCILIACI DE LA VIDA LABORAL Y FAMILIAR DE LAS MUJERES EMPRESARIAS EN LA AGRICULTURA Y LAS EXPLOTACIONES AGROLAS Y SU EFECTO ANTECEDENTE EN LA CALIDAD DE VIDA]
Bibliometric analysis; Blended learning; Business Education; Executive education; Management; Management education
Purpose: The objective of this study was to identify the factors that influence work life balance of women entrepreneurs in the field of agriculture and allied products and how the family demands affect their work-life balance. Further, the paper explores the conflict between parental demand and running a business. Theoretical framework: Literature review points out that despite, an increase in the number of women entrepreneurs over the years, according to the (Global entrepreneurship monitor report, 2020), fewer women pursue entrepreneurship due to various challenges of managing personal and business responsibilities and striking the right balance. Work-life balance is frequently examined in the context of human resource management (Etienne St-Jean and Duhamel M.,2020)but not much has been explored in an entreprenurial context.Hence this study is to investigate and understand the influence of various factors affecting work life balance from an entrepreneurial standpoint. Design/methodology/approach: Triangulation method was used for the study by utilizing both quantitative and qualitative data. The researchers developed a questionnaire to measure work-life balance experienced by women entrepreneurs with 12 independent variables to measure the dependent variable work-life balance.The sample consisted of 450 women agripreneurs Findings: The findings reveal that the age of the children is a major determinant of the extent of parental demand a woman goes through in her life and family support systems are critical in reducing overlap and conflict between the life domains. A positive spillover between the domains significantly enhances quality of life of women entrepreneurs. Research, Practical & Social implications: We suggest a future research into other Personality traits and macro environmental factors which can have a bearing on work life balance of women entrepreneurs which would enable an inclusive entrepreneurial ecosystem. Originality/value: The researchers have concluded that positive spillover between the domains significantly enhances quality of life of women entrepreneurs. 2022 The authors.
Lakshmypriya K.; Rai R.; Kulkarni S.; Shankar G.; James L.
International Journal of Professional Business Review, Vol-7, No. 2
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.26668/businessreview/2022.v7i2.465 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137678537&doi=10.26668%2fbusinessreview%2f2022.v7i2.465&partnerID=40&md5=48731da535edf69aab79193df829c1ba
Lakshmypriya K., School of Business and Management, Christ University, Bangalore, India; Rai R., School of Business and Management, Christ University, Bangalore, India; Kulkarni S., School of Business and Management, Christ University, Bangalore, India; Shankar G., School of Business and Management, Christ University, Bangalore, India; James L., School of Business and Management, Christ University, Bangalore, India
Formation of Positive Organizational Climate: Integration of Ubuntu Diversity Management in Banks
Africa; Bank; Covid-19; Diversity; Ubuntu
A positive organizational climate requires incorporating the notion of Ubuntu into workforce diversity management. Ubuntu in the banking business is essential for improved workforce diversity management and a better workplace climate for women. Employees look for a healthy and positive organizational climate in their workplace settings. Nelson Mandela and Mother Teresa are ideal examples of Ubuntu; they lived a life of selflessness and humanity. In todays competitive world, the concept of Ubuntu is not widely accepted in banking. Banks are vying for new customers, market share, and business loans. Bank services include credit card processing, reconciliation and reporting, cheque collection; payroll; and deposit. They do not have time to think about Ubuntu. The banking sectors operations are tedious, causing tension among employees. Stress is lethal in COVID-19. Using various literature reviews, this study shows how stress can be lethal during COVID-19. Globally, the value system of Ubuntu and Gandhian ideologies are abandoned in favour of monetary gain, resulting in a cruel society. Violence against minority discrimination and black oppression still prevails in our society. Suppression and tyranny have always existed, but COVID-19 triples their impact. One solution is to bring forth Ubuntu. Even if it is too late, we can still revive our society. With Africas great diversity, fostering unity is the key to peace and growth. The best way to achieve peace and progress is to employ Ubuntus values. One continent, one philosophy could be a way out for Africa, but it would necessitate contributions from all African leaders. 2022. Journal of International Womens Studies.
Journal of International Women's Studies, Vol-24, No. 4
Singha S., Christ University, Bangalore, India, Kristu Jayanti College (Autonomous), India; Sivarethinamohan R., Christ University, Bangalore, India
Irreversibility analysis of the MHD Williamson fluid flow through a microchannel with thermal radiation
entropy generation; Finite element method; microchannel; thermal radiation; Williamson fluid
The heat transport and non-Newtonian fluid (Williamson fluid) flow through a micro-channel are considered to analyze the entropy generation minimization using the thermodynamic second law. The energy equations have been modeled with the addition of joule heating, heat source, and thermal radiation. The use of suitable dimensionless transformation helps to convert the modeled flow equations into non-dimensional coupled ODEs. The numerical simulations are done via the Finite Element Method. The current outcomes are constructed to examine the behavior of various flow parameters and presented via graphs. It is found that the rise of heat source and Reynolds number Re decays/boosts the entropy rate Ns and the Bejan number Be profile near the left/right plate, and reverse behavior is noticed for the thermal radiation parameter. 2022 Informa UK Limited, trading as Taylor & Francis Group.
Madhu M.; Shashikumar N.S.; Thriveni K.; Gireesha B.J.; Mahanthesh B.
Madhu M., Department of Mathematics, Chaitanya Bharathi Institute of Technology, Hyderabad, India; Shashikumar N.S., Department of Mathematics, Malnad College of Engineering, Hassan, India; Thriveni K., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India; Gireesha B.J., Department of Mathematics, Kuvempu University, Shimoga, India; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India
Towards Visibility: Subaltern Counterpublics in Paul Chirakkarodes Pulayathara
caste; conversions; Dalit Christianity; public sphere; subaltern counterpublics
Christianity has always been celebrated as a catalyst towards modernity for the Dalits of Kerala. Though missionary accounts and ethnographic studies confirm the progress of the community, there was rampant casteism and separatism too. This is succinctly revealed in Dalit Christian texts. Pulayathara by Paul Chirakkarode stands as a testimony to the Dalit Christian dilemma and traces the history of the Kuttanadan Pulaya community in the pre- and post-conversion scenarios. Conversions could not change the existing public sphere of Kerala, where upper castes were the dominant party. They (Dalits) continued to be marginalized and subordinated and lacked a class consciousness. The article highlights the limitations in the public sphere that emerged in Kerala as part of the missionary endeavours in accommodating the converted Dalits. The article attempts to trace the emergence of subaltern counterpublics among the Dalit Christians to oppose the continued oppression and casteism by situating Pulayathara at the centre of the analysis. 2022 Indian Institute of Management, Ahmedabad.
Romeo C., Department of English and Cultural Studies, Christ (Deemed to be) University, Karnataka, Bangalore, India; Nayar A., Department of English and Cultural Studies, Christ (Deemed to be) University, Karnataka, Bangalore, India
High-Movement Human Segmentation in Video Using Adaptive N-Frames Ensemble
artificial intelligence; deep learning; ensemble; High movement; human segmentation; video instance segmentation
A wide range of camera apps and online video conferencing services support the feature of changing the background in real-time for aesthetic, privacy, and security reasons. Numerous studies show that the Deep-Learning (DL) is a suitable option for human segmentation, and the ensemble of multiple DL-based segmentation models can improve the segmentation result. However, these approaches are not as effective when directly applied to the image segmentation in a video. This paper proposes an Adaptive N-Frames Ensemble (AFE) approach for high-movement human segmentation in a video using an ensemble of multiple DL models. In contrast to an ensemble, which executes multiple DL models simultaneously for every single video frame, the proposed AFE approach executes only a single DL model upon a current video frame. It combines the segmentation outputs of previous frames for the final segmentation output when the frame difference is less than a particular threshold. Our method employs the idea of the N-Frames Ensemble (NFE) method, which uses the ensemble of the image segmentation of a current video frame and previous video frames. However, NFE is not suitable for the segmentation of fast-moving objects in a video nor a video with low frame rates. The proposed AFE approach addresses the limitations of the NFE method. Our experiment uses three human segmentation models, namely Fully Convolutional Network (FCN), DeepLabv3, and Mediapipe. We evaluated our approach using 1711 videos of the TikTok50f dataset with a single-person view. The TikTok50f dataset is a reconstructed version of the publicly available TikTok dataset by cropping, resizing and dividing it into videos having 50 frames each. This paper compares the proposed AFE with single models and the Two-Models Ensemble, as well as the NFE models. The experiment results show that the proposed AFE is suitable for low-movement as well as high-movement human segmentation in a video. 2022 Tech Science Press. All rights reserved.
Kim Y.-W.; Byun Y.-C.; Han D.S.; Dominic D.; Cyriac S.
Computers, Materials and Continua, Vol-73, No. 3, pp. 4743-4762.
https://doi.org/10.32604/cmc.2022.028632 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135060531&doi=10.32604%2fcmc.2022.028632&partnerID=40&md5=5f84861c79f1e8a86b03c0abbc4200c0
Kim Y.-W., Centre for Digital Innovation, CHRIST (Deemed to be University), Bangalore, 560029, India; Byun Y.-C., Department of Computer Engineering, Jeju National University, Jeju, 63243, South Korea; Han D.S., School of Electronics Engineering, Kyungpook National University, Daegu, 41566, South Korea; Dominic D., Centre for Digital Innovation, CHRIST (Deemed to be University), Bangalore, 560029, India; Cyriac S., Centre for Digital Innovation, CHRIST (Deemed to be University), Bangalore, 560029, India
Frustration Tolerance among Indian Youth: Exploring its relationship with Gratitude and Self Awareness
frustration in young adults self awareness; frustration tolerance; gratitude; low frustration tolerance
Introduction: For any person, adulthood is a difficult era of life filled with uncontrollable frustrations. The move from adolescence to young adulthood has reverberation as it marks a shift from adolescent's dependency to the chores and independence of young adulthood (Boll, 2017). Upon review, it was found that many researchers have established the effects of frustration, however, there is little research and evidence-based practice utilizing positive psychology interventions to target low frustration tolerance in youth. A vast body of research have established the positive consequences of gratitude and self awareness in one's life. The present study aims to explore the relationship between gratitude, self awareness and frustration tolerance among young adults. Methodology: Participants were selected through purposive sampling method. Data were collected from 167 young Indian adults (Females-94, Males-73) aged 19-35 years. Participants completed the three inventories measuring the variables of interest using the online survey forms. Data were analyzed by the SPSS software using descriptive analysis, correlation coefficients, and linear regression. Results: Findings show no significant relationship between gratitude and frustration tolerance (r=-0.071). However, there is a significant positive correlation of self awareness with frustration tolerance (r=0.271). The regression model showed that 7.3% of variance in frustration tolerance can be predicted by self awareness. Conclusion: Thus, self-awareness can be viewed as one of the important factors that impact frustration tolerance. The findings are consistent with previous research that has shown that self-awareness has important effects on performance, and emotions. Future implications are discussed. 2022 RESTORATIVE JUSTICE FOR ALL.
Tyagi K., CHRIST (Deemed to be University), Delhi NCR, India; Rastogi K., Department of Psychology, School of Humanities and Social Sciences, CHRIST (Deemed to be University) Delhi NCR, India
Network Lifetime Enhancement by Elimination of Spatially and Temporally Correlated RFID Surveillance Data in WSNs
In wireless sensor networks (WSNs), radio frequency identification (RFID) plays an important role due to its data characteristics which are data simplicity, low cost, simple deployment, and less energy consumption. It consists of a series of tags and readers which collect a huge number of redundant data. It increases system overhead and decreases overall network lifetime. Existing solutions like Time-Distance Bloom Filter (TDBF) algorithm are inapplicable to the large-scale environment. Received Signal Strength (RSS) used in this algorithm is highly dependent on quality of tag and application environment. In this paper, we propose an approach for data redundancy minimization for RFID surveillance data which is a modified version of TDBF. The proposed algorithm is formulated by using the observed time and calculated distance of RFID tags. To overcome these problems, we design our approach to relevantly reduce the spatiotemporal data redundancy in the source level by adding the Received Signal Strength Indicator (RSSI) concept for energy-efficient RFID data communication in wireless sensor network scenario. We introduce in this paper the new improved idea of an existing algorithm which efficiently reduces the rate of data redundancy spatially and temporally. The implemented results overcome the limitations of existing algorithm for data redundancy reduction. Nevertheless, the performance evaluation shows the efficiency of proposed algorithm in terms of time and data accuracy. Furthermore, this algorithm supports multidimensional and large-scale environment suitable for sensor network nowadays. 2022 Lucy Dash et al.
Dash L.; Pattanayak B.K.; Singh D.; Samanta D.; Rimal Y.
Wireless Communications and Mobile Computing, Vol-2022
Dash L., Department of Computer Science and Engineering, Siksha 'o' Anusandhan University, Bhubaneswar, India; Pattanayak B.K., Department of Computer Science and Engineering, Siksha 'o' Anusandhan University, Bhubaneswar, India; Singh D., Department of Computer Application, Siksha 'o' Anusandhan University, Bhubaneswar, India; Samanta D., Department of Computer Science, CHRIST (Deemed to Be) University, Karnataka, Bengaluru, 560029, India; Rimal Y., Department of Computer Science, Pokhara University, 30, Khudi, Kaski, Gandaki, Pokhara, Nepal
Non-destructive silkworm pupa gender classification with X-ray images using ensemble learning
AdaBoost; Gender classification; Machine learning; Sericulture; Stratified k-fold cross-validation
Sericulture is the process of cultivating silkworms for the production of silk. High-quality production of silk without mixing with low quality is a great challenge faced in the silk production centers. One of the possibilities to overcome this issue is by separating male and female cocoons before extracting silk fibers from the cocoons as male cocoon silk fibers are finer than females. This study proposes a method for the classification of male and female cocoons with the help of X-ray images without destructing the cocoon. The study used popular single hybrid varieties FC1 and FC2 mulberry silkworm cocoons. The shape features of the pupa are considered for the classification process and were obtained without cutting the cocoon. A novel point interpolation method is used for the computation of the width and height of the cocoon. Different dimensionality reduction methods are employed to enhance the performance of the model. The preprocessed features are fed to the powerful ensemble learning method AdaBoost and used logistic regression as the base learner. This model attained a mean accuracy of 96.3% for FC1 and FC2 in cross-validation and 95.3% in FC1 and 95.1% in FC2 for external validation. 2022 The Authors
Artificial Intelligence in Agriculture, Vol-6, pp. 100-110.
https://doi.org/10.1016/j.aiia.2022.08.001 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135823686&doi=10.1016%2fj.aiia.2022.08.001&partnerID=40&md5=e8655d0b612b88b36fc148b5550a0d60
Thomas S., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India; Thomas J., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India
Dirichlet Feature Embedding with Adaptive Long Short-Term Memory Model for Intrusion Detection System
adaptive long short-term memory; Dirichlet feature embedding; false alarm rate; intrusion detection system; NSL-KDD
Intrusion Detection System is applied in the network to monitor the network activity and detect the intruder to protect the user data. Various existing models have been applied in the intrusion detection system and have the limitations of high False Alarm Rate (FAR), overfitting problem and data imbalance problem. In this research, Dirichlet Feature Embedding based Adaptive Long Short Term Memory (DFE-LSTM) model is proposed to improve the efficiency of the intrusion detection. The Dirichlet Feature Embedding (DFE) method is applied to effectively represent the feature to analysis the multi-variate of the input data. The enhanced Adaptive Long Short Term Memory (ALSTM) model is applied to select the optimal parameter for the LSTM model to improve the learning rate. The proposed DFE-ALSTM model is compared to three datasets such as UNSW-NB15, NSL-KDD and Kyoto 2006+ for evaluate the efficiency. The proposed DFE-ALSTM model has the accuracy of 94.32 % and existing NB-SVM has 93.75 % accuracy in intrusion detection on UNSW-NB15 dataset. 2022, Success Culture Press. All rights reserved.
Sivakami R.; Uday Kiran G.; Arun M.; David L.G.; Manohar M.
Journal of System and Management Sciences, Vol-12, No. 4, pp. 398-412.
https://doi.org/10.33168/JSMS.2022.0424 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137839497&doi=10.33168%2fJSMS.2022.0424&partnerID=40&md5=a194dff25d913dd5637fd1107e50ca48
Sivakami R., Department of Computer Science and Engineering, Sona College of Technology, Tamil Nadu, Salem, 636005, India; Uday Kiran G., Department of Computer Science and Engineering, B V Raju Institute of Technology, Telangana, Narsapur, 502313, India; Arun M., Department of Electronics and Communication Engineering, Panimalar Institute of Technology, Chennai, India; David L.G., Department of Visual Communication, Kumaraguru College of Liberal Arts and Science, Coimbatore, India; Manohar M., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
Design of Lowpower 4-bit Flash ADC Using Multiplexer Based Encoder in 90nm CMOS Process
Dynamic Comparator; Encoder; FLASH ADC; Low Power
This work describes a 4-bit Flash ADC with low power consumption. The performance metrics of a Flash ADC depend on the kind of comparator and encoder used. Hence open-loop comparator and mux-based encoder are used to obtain improved performance. Simulation results show that the simulated design consumes 0.265mW of power in 90nm CMOS technology using cadence-virtuoso software. The circuit operates with an operating frequency of 100MHz and a supply voltage of 1V. The Author(s).
Shylu Sam D.S.; Sam Paul P.; Jingle D.J.; Mano Paul P.; Samuel J.; Reshma J.; Sarah Sudeepa P.; Evangeline G.
International Journal of Electronics and Telecommunications, Vol-68, No. 3, pp. 565-570.
https://doi.org/10.24425/ijet.2022.141275 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137730307&doi=10.24425%2fijet.2022.141275&partnerID=40&md5=c2afc8d0c4682a92cb4ce9ac06692b77
Shylu Sam D.S., Karunya Institute of Technology and Sciences, Coimbatore, India; Sam Paul P., Karunya Institute of Technology and Sciences, Coimbatore, India; Jingle D.J., Christ (Deemed to be University), Bangalore, India; Mano Paul P., Alliance University, Bangalore, India; Samuel J., Karunya Institute of Technology and Sciences, Coimbatore, India; Reshma J., Karunya Institute of Technology and Sciences, Coimbatore, India; Sarah Sudeepa P., Karunya Institute of Technology and Sciences, Coimbatore, India; Evangeline G., Karunya Institute of Technology and Sciences, Coimbatore, India
Bulirsch-Stoer computations for bioconvective magnetized nanomaterial flow subjected to convective thermal heating and Stefan blowing: a revised Buongiorno model for theranostic applications
bioconvective flow; convective boundary condition; MHD; Nanofluid; response surface methodology; Stefan blowing; theranostic applications
Theranostics is a novel procedure that integrates therapy and diagnosis in a single platform. For its application in theranostic and photothermal therapy for melanoma skin cancer, the hydromagnetic bioconvective flow of a nanomaterial over a lengthening surface is investigated. Realistic nanomaterial modeling is achieved by incorporating passive control of the nanoparticles at the boundary. The impact of the Newtonian heating and Stefan blowing constraints are also accounted. Apposite transformations are employed and then transmuted nonlinear ODEs are resolved using the Bulirsch-Stoer and Newton-Raphson methods. The influence of Stefan blowing parameter (Formula presented.), the magnetic field parameter (Formula presented.), and the Biot number (Formula presented.) on the heat transfer rate has been scrutinized and optimized utilizing the response surface methodology (RSM). The sensitivity of heat transport rate is computed. It is found that the Newtonian thermal condition intensifies the nanomaterial temperature that serves asa crucial role in the termination of cancerous cells or tumors. The maximum drag coefficient is experienced for the insignificant intensity of the magnetic field and Stefan blowing. Further, the heat transfer rate is maximum when the Stefan blowing and Biot numbers are at a high level and the Hartmann number is at a low level. 2022 Informa UK Limited, trading as Taylor & Francis Group.
Areekara S.; Mackolil J.; Mahanthesh B.; Mathew A.
Areekara S., Department of Mathematics, St. Thomas College (Autonomous), Thrissur, India; Mackolil J., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Mahanthesh B., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Mathew A., Department of Mathematics, St. Thomas College (Autonomous), Thrissur, India
Financial stress, financial literacy, and financial insecurity in India's informal sector during COVID-19
behavioral finance; financial hardships; pandemic; personal financial management; street vendors
The lockdowns and restrictions imposed to control COVID-19 have made life miserable for people, especially those involved in informal economic activities. The pandemic induced financial hardships, caused financial anxiety and financial stress among informal sector participants. This study aimed to measure and analyze the financial stress and financial insecurity of one of the important informal sector elements (street vendors) in India. Street vendors in Bangalore were interviewed in this descriptive research through personal interaction and telephonic interviews. The collected primary data were processed using SPSS statistical package. The results have indicated that the pandemic inflicted financial stress on street vendors irrespective of their gender, marital status, age, education, monthly income, and type of product dealt. Financial stress levels varied depending on the number of dependents of street vendors and their business nature. Financial literacy differed according to street vendors' marital status. A person becomes extremely sensitive and cautious in personal finance matters on getting married. Financial stress and financial literacy correlated negatively. 89.5% of street vendors perceived that they had financial insecurity in the future due to this pandemic. The results indicated that financial stress and financial literacy did not affect financial insecurity perceptions of street vendors. The predictors of financial insecurity have been marital status and the number of dependents of the street vendors (r2: 16.6%). However, marital status alone impacted the 6% variance in financial insecurity. This study concluded that the pandemic caused financial stress and financial insecurity among street vendors, but not financial stress and financial literacy. Thangaraj Ravikumar, Mali Sriram, S Girish, R Anuradha, M Gnanendra, 2022.
Ravikumar T.; Sriram M.; Girish S.; Anuradha R.; Gnanendra M.
Investment Management and Financial Innovations, Vol-19, No. 2, pp. 285-294.
https://doi.org/10.21511/imfi.19(2).2022.25 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135114196&doi=10.21511%2fimfi.19%282%29.2022.25&partnerID=40&md5=8fedf6c89e6b2d96c3b7bc8be10aec80
Ravikumar T., School of Business and Management, Christ University, India; Sriram M., School of Business and Management, Christ University, India; Girish S., School of Commerce Finance and Accountancy, Christ University, India; Anuradha R., School of Business and Management, Christ University, India; Gnanendra M., School of Business and Management, Christ University, India
Numerical study of Reiner-Rivlin nanoliquid flow due to a rotating disk with Joule heating and non-uniform heat source using Bulirsch-Stoer algorithm
irregular heat source; Joule heating; nanofluid; Reiner-Rivlin fluid; sensitivity analysis
The flow of a Reiner-Rivlin hydromagnetic nanoliquid due to rotating disk in the presence of Joule heating and a non-uniform heat source is investigated. To control the volume fraction of nanoparticles on the surface of a disk, a realistic passive control strategy is used, taking the thermal jump condition into account. Nonlinear governing differential equations are solved numerically using the Bulirsch-Stoer technique and a parametric analysis is performed using graphical representations. Using the Response Surface Methodology (RSM), the interaction effects of the influential parameters on the rate of heat transfer are visualized via three-dimensional surface graphs and contours. Further, the optimum rate of the heat transfer is estimated through the RSM analysis. It is found that the surface drag demotes due to enhancement in the cross-viscosity coefficient. A rise in the space-dependent heat source augments the temperature profile. The heat transfer rate is negatively influenced by the Eckert number. Further, when thermal slip is augmented, the sensitivity of the heat transfer towards the Hartmann number decreases at the rate of 0.2267%, and the sensitivity towards the Reiner-Rivlin fluid parameter decrements at the rate of 0.0554%. 2022 Informa UK Limited, trading as Taylor & Francis Group.
Sabu A.S.; Mackolil J.; Mahanthesh B.; Mathew A.
Sabu A.S., Department of Mathematics, St. Thomas College (Autonomous), Thrissur, India; Mackolil J., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Mahanthesh B., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Mathew A., Department of Mathematics, St. Thomas College (Autonomous), Thrissur, India
?-Ni(OH)2 supported over g-C3N4: A novel catalyst for para-nitrophenol reduction and supercapacitor electrode
Carbon nitride; Catalytic reduction; Nickel hydroxide; Para-nitrophenol; Supercapacitor
?-Ni(OH)2 supported over g-C3N4 was synthesized by two simple approaches. Its catalytic activity in reducing hazardous para-nitrophenol (PNP) to the industrially important para-aminophenol (PAP) was studied in detail. The applicability of this material as a supercapacitor electrode was also studied. The material shows 100% conversion efficiency with a rate constant of 65.4410 10?3 s?1. The catalytic efficiency and the supercapacitor electrode behaviour of the material can be explained based on the structure of ?-Ni(OH)2 nanoparticle and the synergy between ?-Ni(OH)2 and g-C3N4. 2022 The Author(s)
Roshni C.P.; Jithesh K.; Manuraj M.; Govind Raj K.; Rakhi R.B.
https://doi.org/10.1016/j.rechem.2022.100498 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137278519&doi=10.1016%2fj.rechem.2022.100498&partnerID=40&md5=08264faa469399d62ce0a513df67b9db
Roshni C.P., Department of Chemistry, Malabar Christian College, Kerala, Calicut, 673001, India; Jithesh K., Department of Chemistry, Sree Narayana College, Kerala, Kannur, 670007, India; Manuraj M., Material Science Research Laboratory, Department of Physics & Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Govind Raj K., Department of Chemistry, Malabar Christian College, Kerala, Calicut, 673001, India; Rakhi R.B., Materials Science and Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology, Kerala, Thiruvananthapuram, 695019, India
Enhanced Secure Technique for Detecting Cyber Attacks Using Artificial Intelligence and Optimal IoT
The Internet of Things (IoT) is a broad term that refers to the collection of information about all of the items that are linked to the Internet. It supervises and controls the functions from a distance, without the need for human interaction. It has the ability to react to the environment either immediately or via its previous experiences. In a similar vein, robots may learn from their experiences in the environment that is relevant to their applications and respond appropriately without the need for human interaction. A greater number of sensors are being distributed across the environment in order to collect and evaluate the essential information. They are gaining ground in a variety of industries, ranging from the industrial environment to the smart home. Sensors are assisting in the monitoring and collection of data from all of the real-time devices that are reliant on all of the different types of fundamental necessities to the most advanced settings available. This research study was primarily concerned with increasing the efficiency of the sensing and network layers of the Internet of Things to increase cyber security. Due to the fact that sensors are resource-constrained devices, it is vital to provide a method for reacting, analysing, and transmitting data collected from the sensors to the base station as efficient as possible. Resource requirements, such as energy, computational power, and storage, vary depending on the kind of sensing devices and communication technologies that are utilised to link real-world objects together. Sensor networks' physical and media access control layers, as well as their applications in diverse geographical and temporal domains, are distinct from one another. Transmission coverage range, energy consumption, and communication technologies differ depending on the application requirements, ranging from low constraints to high resource enrich gadgets. This has a direct impact on the performance of the massive Internet of Things environment, as well as the overall network lifetime of the environment. Identifying and communicating matching items in a massively dispersed Internet of Things environment is critical in terms of spatial identification and communication. 2022 Anand Kumar et al.
Kumar A.; Rahmath M.; Raju Y.; Reddy Vulapula S.; Prathap B.R.; Hassan M.M.; Mohamed M.A.; Asakipaam S.A.
Security and Communication Networks, Vol-2022
Kumar A., Cambridge Institute of Technology, North Campus, Karnataka, Bangalore, 562110, India; Rahmath M., Department of Computer Science, Prince Sattam Bin Abdulaziz University, Wadi Ad-Dawasir, Saudi Arabia; Raju Y., Department of Computer Science and Engineering, Vignana Bharathi Institute of Technology, Telangana, Hyderabad, India; Reddy Vulapula S., Department of IT, Vignana Bharathi Institute of Technology, Hyderabad, India; Prathap B.R., Department of Computer Science and Engineering, Christ University, Bangalore, India; Hassan M.M., Department of Biology, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Mohamed M.A., Department of Medical Instruments Engineering Techniques, AI-Turath University, Baghdad, 10021, Iraq, Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad, 10021, Iraq; Asakipaam S.A., Department of Electrical and Electronics Engineering, Tamale Technical University, Tamale, Ghana
Exploring the challenges and prospects of healthcare reporting in Indias Hinterland
Bordering region; Health Disparity; Journalism; News Reporting
Differential access and utilisation of healthcare services are caused by multiple Social Determinants of Health (SDHs), which requires adequate and informed policy intervention. The mass media, mainly the news media, have been seen as a practical approach in communicating the health anomalies at the policy level. The comprehensive coverage of factors associated with the healthcare system can further lead to addressing inequalities in health. The study was aimed to identify the factors that act against effective reporting of healthcare news from peripheral regions of India. The qualitative method was employed to examine media professionals' persistent challenges and experiences in covering health-related disparities. Sixteen media professionals were interviewed during October 2019 employed in vernacular news agencies all across the north-eastern state of Assam, India. Three themes have emerged from the analysis covering health-related news and barriers to healthcare in the peripheral region and identifying health-related disparities. It is found that an effective reporting mechanism of the health news will positively influence the policymakers and undertake efforts to address the health-related disparities. Copyright 2022 (Jyoti Nath, Tamuli).
Observatorio, Vol-16, No. 3, pp. 169-181.
https://doi.org/10.15847/obsOBS16320222084 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143131649&doi=10.15847%2fobsOBS16320222084&partnerID=40&md5=7fa048a99de63788eb8b099127f2be72
Nath N.J., Christ Universty, India; Tamuli G., Homi Bhabha Cancer Hospital, Research Centre, Bihar, India