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Supervised machine learning technique for efficient management of cloud resources /
Patent Number: 202241053590, Applicant: Dr. S Balamurugan.
It is reported in literature that nearly 4.57 billion people access Internet, covering nearly 59% of global population as per 2020 statistics. With huge number of Internet users and large volumes of data, the need for secure and fault-tolerant web applications increases. Huge volumes of data are not only consumed, but are also converted and copied among multiple computing resources. Proposed is a Supervised Machine Learning Technique for efficient management of cloud resources. -
Development of smart system to avoid triples and over speed control in two wheelers /
Patent Number: 202041033794, Applicant: E Immanuvel Bright.
In this current scenario, the traffic solutions for public transport are used in many countries and can be adapted and implemented on vehicles that are used for two wheelers. The aim of this innovation system is to avoid triples riding in two wheelers. Intelligent speed control and over speed control is currently used in our country. But traffic police are controlling only over speed in certain areas only.
Many accidents are created on triples riding and over speeding in two wheelers. -
Development of real-time traffic control system using digital image processing /
Patent Number: 202041038823, Applicant: Dr. P. Selvan.
In daily life, increasing number of vehicles leads to difficulty of monitoring and controlling them. Monitoring crime on peak time is a crucial process. In night time, it is very difficult to identify the type of vehicles due to unwanted light sources. In this system, the above difficulties are overcome by monitoring and controlling the traffic using real time video image processing and controlling. -
Structural, magnetic and magnetocaloric studies of La2CoMnO6 double perovskite
The double perovskite material La?CoMnO? was synthesized using the sol-gel method. Its structural characteristics were analyzed through X-ray powder diffraction (XRD), with Rietveld refinement confirming that the sample crystallizes in a monoclinic structure within the P2?/n space group. Field emission scanning electron microscopy (FESEM) images revealed a non-uniform, slightly porous, and agglomerated structure, while elemental composition was determined through EDAX analysis. Magnetic studies indicated a frustrated magnetic ground state with competing interactions, along with a para-to-ferro magnetic transition at a Curie temperature (TC) of 209 K. Analysis using Arrotts plot confirmed that the magnetic transition in La?CoMnO? is of second order. Magnetocaloric studies showed that the ?SM(T) curve remains nearly stable over the investigated temperature range, demonstrating a broadened entropy profile, which positions this material as a promising candidate for magnetic cooling applications. The Author(s) 2026. -
Outward Foreign Direct Investment From India ; A Sectoral Analysis
New opportunities have arisen as the global economy has been more integrated, with globalization and liberalization of government policies. As the world becomes more globalized, businesses boost their investments to keep up with demand. Trade and foreign investments are two notable paths to global integration, with trade being the traditional path. As an FDI pioneer and promoter, the FDI of the upper-middle-income countries became an essential source of integration with the low and middle-income countries. With globalization and liberalization policies India has become the most significant emerging economy. Economic policies urged Indian enterprises to compete internationally to keep up with fierce competitive environment and the adoption of new technology, such as expanding into new markets, acquiring assets and resources, and integrating their overseas operations. Outward FDI (OFDI) has been used by Indian enterprises to meet these strategic needs. India's overseas investments have increased significantly since the 1990s. The majority of empirical research has focused on FDI from upper-middle-income nations. As low- and middle-income nations like India become more important players in the FDI flow, it's necessary to understand the patterns, motivations, and factors that influence the location and impact of OFDI from these countries. Existing Studies focused on Inward FDI (IFDI), but this study focuses on Outward FDI (OFDI) from India. Earlier OFDI research has mostly focused on firm-specific advantages. This study examines India's OFDI trends, as well as changes in host country location determinants, sectoral composition, and their influence on both the home and host countries. In view of the changing direction of OFDI in India, this study compares investment motives and location factors between the upper-middle-income and low and middle-income countries complying with the international categorization established by the United Nations Conference on Trade and Development (UNCTAD) in its publication, the World Investment Report (WIR). This study analyzes the determinants and impact of India's OFDI in the home and host country during the period 1991-2020 in the context of Dunning's eclectic paradigm (OLI paradigm) and Investment Development Path (IDP) theory, using OFDI data from 1991 to 2020, which is longer than other studies by India's OFDI. This study employs panel data methodologies to identify crucial aspects and empirically test the nature of India's OFDI, which includes market seeking, resource seeking, technology and strategic asset seeking. The study uses a time series method to empirically test the relationship between India's OFDI, Trade and GDP. The results reveal that India's OFDI is motivated by market seeking, resource seeking, and technology seeking motives in upper-middle-income and low and middle-income countries. The results emphasize strategic assets as a significant motivation for investing in upper-middle-income countries rather than low and middle-income countries. India's OFDI is also actively linked to host country policies such as openness, corruption and market size. OFDI from India affects exports, as OFDI and exports are two means of internationalization. Theoretically, OFDI leads to further exports (positive or complements) or replaces exports with production (negative or substitution). Empirical testing of the OFDI-trade relationship shows a significant long-term positive relationship between the two. The study divided into five chapters. Chapter one comprises the introduction, backdrop of Global Outward FDI, India's FDI inflows and outflows, India's outward FDI, Need and Significance of the study. The second chapter consists of the literature review, theories of FDI, Statement of Problem. The third chapter deals with the methodology, research gap, research question, objectives of the study, and statistical tools used for the study. The fourth chapter focuses on the determinants of India's OFDI towards upper-middle and low and middle-income countries and the impact of India's OFDI on upper-middle and low and middle-income countries are analyzed in chapter three. It followed by a Geographical and sectoral analysis of India's OFDI in upper-middle and low and middle-income countries and a region-wise analysis in chapter five. Chapter six presents the study results, factors affecting India's Outward FDI among upper-middle and low and middle-income countries, followed by practical, theoretical and policy implications of the Study. -
Structural investigation of Cr2CTx/NiFe2O4 MXene composite as a bifunctional electrocatalyst for water splitting
The electrocatalytic water splitting offers great potential as an environmentally friendly and sustainable method to produce hydrogen and oxygen, the former serving as a renewable alternative to traditional fossil fuels. MXene, a novel two-dimensional (2D) layered class of materials, has gained enormous attention as an electrocatalyst for water splitting. This versatile material can be tailored to enhance its electroactive surface sites and stability toward electrocatalytic performance. Herein, we have designed a 2D hybrid material, Cr2CTx/NiFe2O4, via an in-situ hydrothermal approach. NiFe2O4 spheres decorated on layered-Cr2CTx are subjected to analysis using XRD, FTIR, TGA, XPS, FESEM, HRTEM-SAED, and optical profilometry. The synthesized hybrid MXene material shows outstanding activity for overall water splitting compared to Cr2CTx and NiFe2O4. Cr2CTx/NiFe2O4 exhibits an overpotential of 144 mV and 159 mV at a current density of 10 mA cm?2 for hydrogen evolution and oxygen evolution reactions, respectively, and achieves a cell potential of 1.69 V for overall water splitting. This study reveals valuable insights on bi-functional 2D hybrid MXene materials for electrocatalytic water splitting. 2024 Elsevier B.V. -
A Study on Retirement Preparedness of Information Technology and Education Sector Employees in relation to Attitude and Knowledge
Retirement planning is a process of analysing the current financial situation, identifying the future financial need of the person upon retirement, investing on a disciplined basis through appropriate instruments and deriving benefits out of it when the need arises. With changing socio-economic factors, there is a great interest among academicians and practitioners alike, to find answers for inevitable post retirement survival crisis. This study is primarily based on a problem How well prepared are IT and Education sector employees to take up the post retirement financial survival? The objectives of the study are - to know the association between attitude, knowledge and retirement preparedness and whether attitude and knowledge has any relationship with the retirement preparedness. This study is based on primary data collected from 400 respondents (200 IT sector employees and 200 Education sector employees) using questionnaire. This study takes Attitude and Knowledge as independent variables and Retirement preparedness as dependent variable. With the help of statistical tools like Chi-square tests, ANOVA and Canonical Correlation, the association and relationship were tested. This study reveals that Attitude and Knowledge has relationship with retirement preparedness. The result is of great significance for government in policy making, for media and personal financial planners in pro actively influencing investment decisions of investors. -
A culturally grounded mental health response to intimate partner violence among tribal women in Wayanad, Kerala: a case study
Purpose This case study aims to develop a culturally grounded mental health intervention for tribal women survivors of intimate partner violence (IPV) in Wayanad, Kerala. It responds to the urgent need for trauma-informed mental health services that resonate with the cultural identities, worldviews and healing traditions of indigenous communities. Design/methodology/approach The intervention was developed through a mixed-methods doctoral research project grounded in Bronfenbrenners Ecological Systems Theory and psychodynamic principles. Data were collected via qualitative interviews with tribal women survivors (n?=?25), quantitative mental health screening and participatory engagement with traditional healers, local leader and Self-Help Group (SHG) facilitators. Thematic analysis and iterative community consultations shaped the design of the intervention. Findings The resulting intervention integrates healing circles, folklore-based psychoeducation, engagement with traditional leaders and SHG-based empowerment. These components reflect indigenous practices, spiritual worldviews and collective resilience strategies. Participants reported increased emotional safety, cultural validation and a sense of solidarity and empowerment. Research limitations/implications The intervention is deeply embedded in the cultural and spiritual frameworks of Wayanads tribal communities. This context-specific design may limit the generalizability of the model to other indigenous groups with differing belief systems, social structures or ritual practices. Some biomedical professionals and institutional stakeholders may resist integrating traditional practices due to concerns about scientific validity or standardization. Negotiating these tensions requires ongoing dialogue and institutional buy-in. Differences in cultural practices, taboos and language even within Wayanads tribal groups (e.g. Paniya vs Kurumba) can affect the uniformity of intervention delivery and reception. Practical implications The model can inform mental health practitioners and NGOs working in indigenous or marginalized contexts by offering a flexible, community-rooted intervention framework adaptable across tribal regions. Social implications By legitimizing indigenous knowledge and promoting collective healing, the intervention strengthens social cohesion, reduces stigma around IPV and empowers tribal women to reclaim agency within their communities. Originality/value This is one of the few interventions in India that explicitly centers tribal worldviews in mental health care for IPV survivors. It demonstrates how formal psychological models can be meaningfully adapted through cultural co-creation. 2025 Emerald Publishing Limited -
Beyond trauma: a culturally grounded call for mindfulness and expressive arts in the mental health response to intimate partner violence among tribal women in India
Purpose This commentary aims to explore the urgent need for culturally grounded mental health interventions for tribal women survivors of intimate partner violence (IPV) in India. It advocates for the integration of mindfulness-based expressive art therapy (MBAT) as a culturally relevant, trauma-informed approach to healing that aligns with indigenous epistemologies and traditional modes of expression. Design/methodology/approach Using insights from a scoping review of existing literature on mindfulness and expressive art therapies for IPV survivors, this paper critically evaluates the limitations of Western therapeutic models in tribal contexts. It synthesizes theoretical frameworks, empirical evidence and cultural considerations to propose a decolonial model of healing centered on community, nonverbal expression and ancestral wisdom. Findings Mindfulness and expressive art therapies demonstrate efficacy in enhancing emotional regulation, reducing trauma symptoms and fostering resilience among IPV survivors. However, existing interventions often lack cultural adaptation and ignore the sociohistorical realities of tribal communities. This paper finds that when these therapeutic modalities are tailored to tribal worldviews through symbolic imagery, indigenous art forms and collective healing practices they become powerful tools for trauma recovery and identity restoration. Practical implications This commentary offers clear implications for practice, including culturally responsive therapist training, community-based MBAT delivery and participatory program design. It urges policymakers to incorporate MBAT into district-level public health initiatives and calls for further research on culturally adapted interventions in tribal settings. Originality/value This work contributes original insights by reframing MBAT not as an alternative therapy but as a culturally and spiritually congruent first-line approach for tribal IPV survivors. It bridges gaps in both theory and practice by integrating decolonial perspectives, arts-based methodologies and indigenous knowledge systems into mental health discourse. 2025 Emerald Publishing Limited -
Rock abrading in South India /
Encyclopedia of Global Archaeology, pp.1-10 -
A top-down approach for studying the in-silico effect of the novel phytocompound tribulusamide B on the inhibition of Nipah virus transmission through targeting fusion glycoprotein and matrix protein
The proteins of Nipah virus ascribe to its lifecycle and are crucial to infections caused by the virus. In the absence of approved therapeutics, these proteins can be considered as drug targets. This study examined the potential of fifty-three (53) natural compounds to inhibit Nipah virus fusion glycoprotein (NiV F) and matrix protein (NiV M) in silico. The molecular docking experiment, supported by the principal component analysis (PCA), showed that out of all the phytochemicals considered, Tribulusamide B had the highest inhibitory potential against the target proteins NiV F and NiV M (-9.21 and ?8.66 kcal mol?1, respectively), when compared to the control drug, Ribavirin (-7.01 and ?6.52 kcal mol?1, respectively). Furthermore, it was found that Tribulusamide B pharmacophores, namely, hydrogen donors, acceptors, aromatic and hydrophobic groups, contributed towards the effective residual interactions with the target proteins. The molecular dynamic simulation further validated the results of the docking studies and concluded that Tribulusamide B formed a stable complex with the target proteins. The data obtained from MM-PBSA study further explained that the phytochemical could strongly bind with NiV F (-31.26 kJ mol?1) and NiV M (-40.26 kJ mol?1) proteins in comparison with the control drug Ribavirin (-13.12 and ?13.94 kJ mol?1, respectively). Finally, the results indicated that Tribulusamide B, a common inhibitor effective against multiple proteins, can be considered a potential therapeutic entity in treating the Nipah virus infection. 2024 Elsevier Ltd -
Evaluation of therapeutic potentials of selected phytochemicals against Nipah virus, a multi-dimensional in silico study
The current study attempted to evaluate the potential of fifty-three (53) natural compounds as Nipah virus attachment glycoprotein (NiV G) inhibitors through in silico molecular docking study. Pharmacophore alignment of the four(4) selected compounds (Naringin, Mulberrofuran B, Rutin and Quercetin 3-galactoside) through Principal Component Analysis (PCA) revealed that common pharmacophores, namely four H bond acceptors, one H bond donor and two aromatic groups were responsible for the residual interaction with the target protein. Out of these four compounds, Naringin was found to have the highest inhibitory potential ( 9.19kcalmol?1) against the target protein NiV G, when compared to the control drug, Ribavirin ( 6.95kcalmol?1). The molecular dynamic simulation revealed that Naringin could make a stable complex with the target protein in the near-native physiological condition. Finally, MM-PBSA (Molecular Mechanics-PoissonBoltzmann Solvent-Accessible Surface Area) analysis in agreement with our molecular docking result, showed that Naringin ( 218.664kJmol?1) could strongly bind with the target protein NiV G than the control drug Ribavirin ( 83.812kJmol?1). 2023, King Abdulaziz City for Science and Technology. -
Systematic investigation on unsymmetrical mesogenic cyanobiphenyl dimers towards optical storage devices: synthesis, mesomorphic, photo switching and DFT studies
This research presents the synthesis and analysis of a novel series of mesogenic dimers comprising cyanobiphenyl and azonaphthyl units. Structural validation was performed using FT-IR, 1H-NMR, 13C-NMR, elemental analysis, mass spectrometry, etc. The dimers thermotropic behaviours were studied through POM and DSC, revealing enantiotropic nematic phases in all cases, with some also showing monotropic smectic C phases. The study explores the relationship between the chemical structure of the dimers and the length of the flexible spacer, the odd-even effect, and their phase transition temperatures. Longer chains tended to form smectic phases, while shorter chains primarily exhibited nematic phases. Computational analysis using B3LYP/6-31g(d,p) and evaluations of electrostatic potential (ESP) and optical properties provided further insight into the electronic structures. Photoisomerization studies demonstrated consistent photochromic responses, with all dimers showing high conversion efficiency (88-95%) under UV light along with similar back relaxation times (?10-12 hours). Optical storage devices prepared by these materials showed excellent contrast between dark and bright states elucidating the importance of such materials for the future. 2025 The Royal Society of Chemistry. -
Modeling User Movement Patterns for Enhanced Internet Experience
Providing an effective quality of service (QoS) can be very challenging, especially in mobile or dynamic environments. The goal of this study is to improve the Internet in a way that anticipates user mobility allowing for more efficient and responsive resource allocation through real-time resource management and connectivity prognostic. The ability for the model to determine typical paths, times, and transition probabilities between access points is accomplished by exploring historical location data, mobility traces, and user activity in a networked environment. The proposed findings can be integrated into network control algorithms requiring spatial predictive data for future user behaviours such as prefetching, intelligent handover, and load balance to configurable infrastructures. User mobility predictions of future mobility are augmented by the combination of machine learning and Markov Chains. Usability testing conducted utilizing real-world mobility datasets is suggestive of many improvements in terms of connection stability, reduction of latency, and increased efficiency of bandwidth utilization. The supporting evidence obtained from this study is supportive of the hypothesis that network management which aware of the mobile user will enhance performance and experience in urban areas and smart cities. This research is important because it further develops a notion of intelligent, human-centric communication systems towards 5G (and beyond) to reframe spatial and temporal user behaviour to be responsive, anticipatory internet service structures and/or systems. 2025, Innovative Information Science and Technology Research Group. All rights reserved. -
Advances in Crime Identification: A Machine Learning Perspective
Crime profoundly impacts individuals, communities, and families. Technological advancements have provided perpetrators with new opportunities for criminal activities. The primary objective of the police department is to resolve crimes, ensuring justice for the victims. Additionally, preventing such incidents is crucial for creating a safer world. The landscape of criminal justice has undergone a significant shift with the integration of machine learning techniques, unlocking unparalleled potential for accuracy and efficiency. This study thoroughly examines the concept of various applications of machine learning in crime detection, prediction, and prevention. We examine the evolution of these technologies, from early developments to state- of-the-art methodologies, conducting a thorough analysis of their strengths, limitations, and ethical considerations. Moreover, the paper sheds light on crimes discussed in academic circles, serving as a repository for scholars and researchers. This facilitates informed discussions and guides future research endeavours. 2024 IEEE. -
Action genre in tollywood-A study of Pawan Kalyan films /
The present study deals with analyze how dialogue delivery seeped through action sequences by noting the chronological changes in the Telugu films, as well as analyzing four movies of a famous Telugu movie celebrity who has indulged his fans by delivering smart witty dialogues while beating up the baddies.Various aspects of the protagonist’s roles have been explored in order to elicit the importance of these elements and their contribution to the overall plot. -
Performance inquisition of web services using soap UI and JMeter
Web Service is a managed code through which the user can expose the existing functionality over the network. Web Service allows multiple applications to communicate with each other. The communication involves passing the data or interaction of two services for a specified action. There are commercial and open source tools available for testing web services. This paper describes about two popular open source tools to test the performance of the web services in terms of response time. The performance is tested based on the time acquired by each service. The comparison study will help in understanding the usage of web service testing tools and adoption of these tools for testing purpose. 2017 IEEE. -
Future of knowledge management in investment banking: Role of personal intelligent assistants
Purpose: The studys objective focuses on investigating the involvement of Personal Intelligent Assistants (PIAs) in the Knowledge Management Process (KMP) in Investment Banking Companies leading to Industrial Revolution 5.0 leading to effective Organizational Knowledge Management. Design/Methodology: A Self-administered Survey Questionnaire was circulated to 695 employees of Investment Banking Companies operating in Bangalore, Mumbai, Delhi, Hyderabad, Chennai, and Pune using the Cluster Sampling method. The Covariance-based Structural Equation Modelling (CB-SEM) and Gradient Boosting Regression technique of Machine Learning were used to validate the hypothesis through JASP V.18 Software. Knowledge Creation, Knowledge Sharing, Knowledge Retrieval, Knowledge Application, and Organizational Knowledge Management are the crucial constructs considered in the study. Findings: The results revealed that Knowledge Application is the most influencing factor in effective organizational Knowledge management among the Investment Banks followed by Knowledge Sharing. It also emphasizes that they have a weak Knowledge retrieval process and minimal efforts taken to create knowledge within these banks. Implications: The PIAs can facilitate effective Data Analysis and research in managing vast data eliminating the repeated tasks in portfolio reconciliation and offering personalized recommendations to manage portfolios. It enables in compliance, risk management, client relationship management, real-time monitoring and leveraged decision-making through predictive analysis. The Author(s) 2024. -
Religion, society and state in India: A legal perspective
[No abstract available] -
The shadow of truth: Ethical Concerns in the Writings of Alexander Solzhenitsyn
"One word of truth will outweigh the entire world." These were the words of Alexander Solzhenitsyn while accepting the Nobel Prize in 1974. The twentieth century was the bloodiest century in human history, thanks largely to two ideologies - Fascism and Marxism. While there have been numerous studies on Nazi Germany, there have been relatively few on what transpired in Soviet Russia. This paper examines the contributions of the Russian writer and philosopher Alexander Solzhenitsyn to the understanding of the workings of totalitarianism. Solzhenitsyn wrote numerous works like The First Circle, Cancer Ward and The Gulag Archipalego. This paper will be examining his major work called One Day in the Life of Ivan Denisovich. The main intention is to probe the ethical concerns that the writer raises in this work, along with his deep understanding of human nature. This paper also seeks to compare Solzhenitsyn's views with that of thinkers like Jean Paul Sartre and Vaclav Havel. The key query here will be the essence-existence debate that Sartre initiated in his seminal work 'Existentialism Is a Humanism' and an attempt will be made to show how Havel and Solzhenitsyn would differ from Sartre. Finally there will be an attempt to establish how Solzhenitsyn reaffirms Lev Tolstoy's theory of history, according to which history is a process where 'great individuals' play a minimal role. 2013 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (Dharmaram Vidya Kshetram, Bangalore).