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Smartphones in churches: An affective negotiation around digital disruptions and opportunities in Delhi Christian Churches
Interpersonal relations in a world of digital ubiquity have brought religious institutions into personal digital networks. The development of personal-religious networks has affected individual faith practices and altered religious responses. This article explores patterns of behaviour emerging from a collective sense of belonging and affective responses in online church networks where smartphones acts as an extension of self. It analyses the relationship between faith and visual practices/aesthetics impacting today's religious experience. It also explains affective loops that are consciously constructed by church authorities to shape collective action. The function of these loops is to create a deeper sense of connectedness between practitioners and the church through harnessing technology and its affective power. 2019 Journal of Content, Community & Communication. -
Development and Validation of Emotion Recognition Software in the Indian Population
Though written extensively, recent debates on universality of emotions have shown that age, gender, and ethnicity have greater implications in the ability to identify expressions from faces. Facial emotion recognition deficits have been consistently shown in psychiatric conditions, which necessitates the need to construct a culturally sensitive tool. Fourteen actors depicted emotions such as happy, sad, anger, fear, surprise, disgust, and neutrality. From a total of 126 images, participants rated in terms of intensity and accuracy. Final software was developed with 28 images, and mean accuracy and reaction time were obtained. Friedmans significance test revealed a significant effect of emotion on its different dimensions. This study helped establish a culturally sensitive emotion recognition tool with the Indian population, which can be used in mental health settings for screening purposes and aid in developing rehabilitation modules. 2020, National Academy of Psychology (NAOP) India. -
A review on serverless architectures-Function as a service (FaaS) in cloud computing
Emergence of cloud computing as the inevitable IT computing paradigm, the perception of the compute reference model and building of services has evolved into new dimensions. Serverless computing is an execution model in which the cloud service provider dynamically manages the allocation of compute resources of the server. The consumer is billed for the actual volume of resources consumed by them, instead paying for the pre-purchased units of compute capacity. This model evolved as a way to achieve optimum cost, minimum configuration overheads, and increases the application's ability to scale in the cloud. The prospective of the serverless compute model is well conceived by the major cloud service providers and reflected in the adoption of serverless computing paradigm. This review paper presents a comprehensive study on serverless computing architecture and also extends an experimentation of the working principle of serverless computing reference model adapted by AWS Lambda. The various research avenues in serverless computing are identified and presented. Universitas Ahmad Dahlan. -
Text summarization using residual-based temporal attention convolutional neural network
To address the computational complexity and limited to large data Enhanced Residual based Temporal Attention Convolutional Neural Network (ERTACNN) with Improved Initialization strategy-based Aquila Optimization Algorithm (IIAOA) is proposed. Initially the document is pre-processed to get structured data and given to feature extraction. Then the features are selected with Aquila Optimization Algorithm to remove redundant or unrelated features from high-dimensional data, from which the entropy values are calculated and given to proposed classifier. In this classification, the temporal attention mechanism is combined with classifier to compute attention weight and accompanied with important time points for classifying the documents. Finally, the proposed method is implemented in python and evaluated against existing works which achieves 70.34, 55.6 and 72.4 Recall Oriented Understudy for Gisting Evaluation (ROUGE) score than existing approaches. 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management. -
Tangent Search Long Short Term Memory with Aadaptive Reinforcement Transient Learning based Extractive and Abstractive Document Summarization
Text summarization is the process of creating a shorter version of a longer text document while retaining its most important information. There have been a number of methods proposed for text summarization, but the existing method does not provide better results and has a problem with sequence classification. To overcome these limitations, a tangent search long short term memory with adaptive reinforcement transient learning-based extractive and abstractive document summarization is proposed in this manuscript. In abstractive phase, the features of the extractive summary are extracted and then the optimal features are selected by Adaptive Flamingo Optimization (AFO). With these optimal features, the abstractive summary is generated. The proposed method is implemented in python. For extractive text summarization, the proposed method attains 42.11% ROUGE-1 Score, 23.55% ROUGE-2 score and 41.05% ROUGE-L score using Gigaword. Additionally, 57.13% ROUGE-1 Score, 28.35% ROUGE-2 score and 52.85% ROUGE-L score using DUC-2004 dataset. For abstractive text summarization the proposed method attains 47.05% ROUGE-1 Score, 22.02% ROUGE-2 score and 48.96% ROUGE-L score using Gigaword. Also, 35.13% ROUGE-1 Score, 20.35% ROUGE-2 score and 35.25% ROUGE-L score using DUC-2004 dataset. 2023, Modern Education and Computer Science Press. All rights reserved. -
The double-edged sword of ChatGPT: fostering and hindering creativity in postgraduate academics in Bengaluru
Purpose: This research examines the complex relationship between usage of Chat Generative Pre-Trained Transformer (ChatGPT) amongst student and their creativity, learning and assessment using empirical data collected from postgraduate students. In addition, the study explores the students intrinsic motivation for usage to understand student categories. This research seeks to provide further insights into this artificial intelligence tool in enhancing the educational ecosystem for all stakeholders concerned. Design/methodology/approach: The target population of this research the students of post-graduation in diverse fields of science and management. A five-point Likert scale-structured questionnaire adapted from earlier literature relevant to the research questions was adopted for data collection. The data were collected for twomonths, resulted in 403 usable responses. Ethical considerations of assurance of confidentiality to the participants were strictly adhered to. Structured equation modelling (SEM) was employed to explore the relationships between the constructs of the study for the assessment of latent relationships. SmartPLS 4 was used to explore these relationships. Findings: Usage has a negative impact on a students creativity, but increased usage of ChatGPT encourages a students adoption due to its perceived usability. Pedagogical applications of ChatGPT aid students as a learning tool but require controlled usage under supervision. Originality/value: This study is innovative in the context of postgraduate students, where very little evidence of creativity exists. Through this research, the authors illuminate how ChatGPT use affects academic performance, benefiting educators as a tool but for evaluation and assessment, policymakers and students. Thefindings of the study provide implications that help to create effective digital education strategies for stakeholders. 2024, Emerald Publishing Limited. -
The concept of entrepreneurial ability-evidence from women in MSMEs of Karnataka state
The Indian women entrepreneurs have come a long way today from the traditional deep-rooted view of the Indian society and are predominantly found in the MSME sectors of India. To understand their growth and advancements, a proper understanding of their entrepreneurial ability with respect to their performance is of paramount importance. The objective of this study is to explore the factors of women entrepreneurial ability which impacts the successful performance of the women entrepreneurs in MSMEs of Karnataka state in India. A theoretical framework model of entrepreneurial ability developed for the study is tested with a primary data collected through a survey-questionnaire method from a sample size of 427 women entrepreneurs using a random sampling method, factor analysis and Pearson correlations. Overall the results of this study support the contention: the perceived business performances of women entrepreneurs have a significant influence on their entrepreneurial ability. Copyright 2020 Inderscience Enterprises Ltd. -
Exploring Female Narratives of Sexual Intimacy and the Social Suppression of Desire
Exploring the construction of sexual identities by women, this research attempts to provide an experiential understanding of sexual intimacy in young adulthood through critical narrative analysis of the accounts of ten unmarried cis-gender women, located in the postmodern feminist paradigm and drawing from contemporary psychoanalytic tradition. The study highlighted the lack of discourse on female desire and pleasure (that is not fetishised, penalised, or ostracised) in the hetero-patriarchal socio-cultural fabric of India and how it manifests in the sense of shame, guilt, and self-doubt in the navigation of sexual intimacy. The social matrix, including the influence of family and partner dynamics and cultural and generational differences, was observed to play a prominent role in the evolution of individual perceptions of sexual intimacy. Analysing the narratives through a feminist lens foregrounded the predominance of male satisfaction and pleasure, the sense of obligation towards male partners, the infringement of boundaries and compromise, and the performativity in sexual experiences, thus calling attention to the female struggle of realising and practising sexual agency. The research indicates the need to critically examine the pervasive phallocentrism in the experience of sexual intimacy and the marginalisation of female sexual desire due to the suppression of female sexuality in the patriarchal hierarchy of power distribution. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. -
Emotional Intelligence as a Predictor of Police Operational Stress: A Pilot Study
The present study examined the relationship between police operational stress and emotional intelligence. The study also observed the difference in operational stress and emotional intelligence concerning gender, rank, education, and marital status. The sample included 80 police officers from Bangalore, India. The operational police stress questionnaire developed by McCreary and Thompson (2006) and emotional intelligence scale developed by Hyde et al. (2002) were used to measure police operational stress and emotional intelligence, respectively. Independent sample t-test and Cohens d indicated that differences in gender, rank, education, and marital status had no significant effect on police operational stress. Gender differences had a significant effect on the emotional intelligence factors, empathy, and self-motivation. Differences in rank had a significant effect on empathy, self-motivation, emotional stability, managing relationships, integrity, value orientation, and commitment. Differences in marital status had a significant effect on value orientation. Correlation analysis showed that operational stress had a significant negative relationship with emotional intelligence and its factors such as self-motivation, emotional stability, value orientation, and altruistic behavior. Regression analysis showed emotional intelligence and its factor, emotional stability, as significant predictors of police operational stress. 2021, Society for Police and Criminal Psychology. -
Analysis and optimization of uplink spectral efficiency in massive multiple-input and multiple-output
Fifth Generation (5G) specifications aims for data rate of 1 Gbps in high mobility and 10 Gbps in low mobility conditions, 15-30 bps/Hz of spectral efficiency with less than 1 milli second (ms) latency reduction. Massive multiple-input and multiple-output (Massive MIMO) is one of the promising technologies in 5G standard which offers a high spectral efficiency improvement. This work focus on the uplink scenario spectral efficiency in a Massive MIMO simulation network based on third generation partnership project (3GPP) and long term evolution (LTE) document of 5G. This work analyzes the spectral efficiency metric by simulating the 5G Massive MIMO network. Then, the research identified major constraint parameters; number of user antennas, K, number of base station antennas, M, transmission power, P, channel bandwidth, B, and coherence time, Tau_C and pilot time Tau_P which plays a significant role in varying this metric. The authors focus on improving the spectral efficiency by passing these constraint parameters through different meta-heurestic optimization algorithms, such as, convex optimization solver, White shark optimization (WSO) and Particle swarm optimization (PSO). The results show an overall, 1-10 percent of improvement of the parameter wnen compared with other research articles. The maximum value achieved is 49.84 bps/Hz, which is three times higher as per to the 3GPP and International Telecommunication Unioin (ITU) release document. 2022 Institute of Advanced Engineering and Science. All rights reserved. -
Revenue recognition from gift cards: What and how? /
Perspectiva: A Case Research Journal, Vol.5, pp.77-81, ISSN No: 2394-9961. -
Effect of corporate restructuring on shareholder's value in the information technology sector /
International Review of Research in Emerging Markets and the Global Economy, Vol.1, Issue 1, pp.182-188, ISSN No: 2311-3200. -
I Dont Play Games: Migrant Workers and Digital Media in Bengaluru
The great impact of media technologies in reordering almost every facet of modern life has been noted by theorists for over a century now, particularly since the idea of the global village imagined by media theorists, and enabled by globalisation and digital technology has become an inescapable reality. The new experience of time and space bears upon various dimensions of life, including the nature of work, the organisation of time and the place of leisure within these rhythms. This article attempts to engage with this very weighty body of scholarship in a modest way, through ethnographic research, to understand how mobile phones and internet technologies structure the experience of everyday life for low-income migrant workers in Bengaluru. The sites include a construction site and a hookah bar, and the study focuses on mobile gaming and the structuring of migrant social networks. 2024 South Asian University. -
Energy-efficient low-power LED-mediated effective photodegradation of cationic and anionic dyes by phthalocyanine-based COF sensitized ZnO photoactive material
The present work involves the synthesis of 2D covalent organic framework involving zinc phthalocyanine and perylene systems (2DZnPc) as low-power LED visible-light sensitizer for ZnO nanomaterial. The synthesized materials and their composites (2DZnPc@ZnO) were characterized by Fourier transform infrared spectroscopy (FTIR), powder X-ray diffraction (XRD), Scanning electron microscopy (SEM), and Solid-state diffuse reflectance spectrophotometer to understand the structure, size, morphology, and optical properties. To examine the photodegradation competence of ZnO alone and its four different composites (2DZnPc@ZnO5, 2DZnPc@ZnO10, 2DZnPc@ZnO15, and 2DZnPc@ZnO20) in the presence of the energy-efficient low-power white LED (16 W) as source of visible light, and as modular pollutants, cationic methylene violet (MV) and anionic Eosin Y (EY) dyes were employed. The effect of different parameters on photocatalytic activity such as photocatalyst dosage, interaction time, pH of dye solution, and photocatalyst re-usage is examined. The results indicate that photosensitizing ZnO with 2DZnPc improved photocatalytic performance for the photodegradation of MV and EY dyes substantially. In an optimized environment, the removal efficiency of MV and EY was found to be 98 and 92 % respectively in 90 min. 2024 Elsevier Ltd -
Sm-MOF/rGO/PANI composite as an electrode material for supercapacitor applications
In recent years, scientists have been paying a lot of attention to metal-organic frameworks, often known as MOFs, as a possible material for use as electrodes in supercapacitors. MOFs are capable of functioning as high-quality pseudocapacitors because of their crystalline structure, which enhances the specific surface area and provide mechanical support for composite materials. The objective of this study is to synthesize an electrode material that can be used as supercapacitors by synthesizing Sm-MOF and then combining it with reduced graphene oxide (rGO) and polyaniline (PANI) to make a hybrid material. Here, the effect of incorporation of PANI and rGO in Sm-MOF is investigated, and its application as a supercapacitor is examined. Due to the high surface area and pore size, Sm-MOF/rGO/PANI material exhibits high specific capacitance. The computed specific capacitance of the composite Sm-MOF/rGO/PANI material is 1935.6 F g?1 when subjected to a current density of 1 A g?1. The Sm-MOF/rGO/PANI device is fabricated and exhibits a specific capacitance of 218 F g?1. The specific power and energy are calculated to be 59.3 Wh kg?1 and 581 W kg?1, respectively. 2023 Elsevier Ltd -
Bi Functional Manganese-Pyridine 2,6 Dicarboxylic Acid Metal Organic Frameworks with Reduced Graphene Oxide as an Electroactive Material for Energy Storage and Water Splitting Applications
In recent years, metal organic frameworks (MOFs) with porous carbon materials have significantly improved the design and engineering of high performance electrode materials and have found applications in energy storage devices. This study explores the supercapacitor and electrocatalytic water splitting applications of Mn-MOF/reduced graphene oxide (rGO) composite synthesized via a hydrothermal technique using pyridine 2,6 dicarboxylic acid as a linker. Mn-MOF/rGO exhibits a specific capacitance of 428.28 F g?1 with a rate capability of 83.7% and high cyclic stability. The oxygen evolution reaction of the composite is evaluated using linear sweep voltammetry, and the overpotential is calculated to be 400 mV. Our primary goal is to investigate the effect of rGO on the electrochemical response of MOF. The dielectrode (Mn-MOF/rGO) electrolysis system exhibits long-run stability with a low cell potential of 1.8 V, indicating its prospective application as an excellent water electrolyzer. The combination of Mn-MOF with rGO helps in increasing the number of active sites, thereby improving its electronic conductivity by enhancing the electron transfer rate. The outstanding electrochemical behaviour of Mn-MOF/rGO paves the way for the use of rGO-incorporated Mn-MOF in bifunctional applications as energy-generating and storage devices. 2023 The Electrochemical Society (ECS). Published on behalf of ECS by IOP Publishing Limited. -
Facile synthesis of Mn-Ni bimetal organic framework decorated with amine as an electrode for a high-performance supercapacitor
In the recent years, the whole world is looking for better energy storage devices. Supercapacitors are among the mostpromising high-capacity energy storage devices. Manganese-based material has gained more importance among transition metals due to its cost, easy fabrication, and wide potential applications. Here, we report the synthesis of a novel MOF using metal centers, dicarboxylate ligand, and aminoterephthalic acid as a co-ligand {Mn-Ni-NH2(h2fipbb)}MOF. The synthesized material has a unique hierarchical morphology consisting of manganese and nickel connected with NH2 through h2fipbb ligand linkage, which is highly efficient for the permeation of the electrolyte and electron transfer. The {Mn-Ni-NH2(h2fipbb)}MOF shows an excellent specific capacitance of 711.60 F g?1 using 2M KOH at a current density of 1 A g?1. The two electrode system material exhibitsa high-power and energy density of 743.99Wkg?1 and 20.49 Wh kg?1, respectively. From the above results, the synthesized {Mn-Ni-NH2(h2fipbb)}MOF can be considered a promising material for electrochemical energy storageapplications. 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
Designing coordinatively unsaturated metal sites in bimetallic organic frameworks for oxygen evolution reaction
Metal organic frameworks (MOFs) are developing as promising catalysts for oxygen evolution reactions. A bimetallic electrocatalyst MOF using Ni and Cu as metal sources and 1,4-benzene dicarboxylic acid as a linker has been synthesized and evaluated for oxygen evolution reaction. Compared to monometallic MOFs, bimetallic MOFs participate more actively in electrocatalysis due to the higher abundance of active sites, local crystallinity, and lower long-range disorder. When utilized as oxygen evolution catalysts, NiCu MOFs have a low overpotential of 340 mV at 10 mA/cm2 and a low Tafel slope of 65 mV/dec. The study paves the way for the development of highly efficient catalysts for water splitting applications. 2023 Elsevier Ltd -
Numerical Modelling and Experimental Validation of Novel Para Winglet Tape for Heat Transfer Enhancement
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. -
Novel algorithm for control of a shunt active power filter based on a three-level voltage source inverter
A three-level voltage source inverter is utilized to implement a shunt active power filter. SVPWM technique is used in the control circuit to generate the required gate pulses for the voltage source inverter. Principle of operation and analysis of the control circuit is presented. The proposed control algorithm ensures balance of dc bus voltages. Hence this active power filter is ideally suited for high power drives and transmission systems. The simulation results are presented and analyzed. The THD of load current is reduced to 6.47 % from 28.795 % in steady operation. 2010 Institute of Thermomechanics AS CR.