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Characterization and comparison studies of Bentonite and Flyash for electrical grounding
Earthing or Grounding is an Electrical system consists of electrodes which serves as an electrical connection from an electric circuit in the system to the earth or ground. Traditional Earthing- where we mix charcoal and salt offers low resistance to the fault current flow developed from a Low operating Voltages. Since operating voltages are high now a days, Short circuit current also increased. Traditional method of Earthing is replaced by chemical Earthing.Bentonite which is mainly used in chemical Earthing serves the requirement of Low resistance Earthing pits and also have the property to retain the moisture. In this paper an attempt had been made to assure the Flyash usage in the grounding pit and this paper discusses the Characterization, Comparison and Field Studies on Earthing Pit constructed with Bentonite and Fly ash layers. 2015 IEEE. -
Analysis of multimode oscillations caused by subsynchronous resonance on generator shaft /
European Journal of Electrical Engineering, Vol.20, Issue 4, pp.455-468 -
Surface Roughness Analysis in AWJM for Enhanced Workpiece Quality
Abrasive Water Jet Machining is a distinctive manufacturing process that effectively removes material from a workpiece by employing a high-pressure stream of water combined with abrasive particles. The final quality of the machined surface is directly influenced by various process parameters, such as the traverse speed, hydraulic pressure, stand-off distance, abrasive flow rate, and the specific type of abrasive used. In recent times, extensive research has been undertaken to enhance the performance of AWJM, with a specific focus on critical performance measures like surface roughness. This paper presents the latest advancements in AWJM research, with particular attention given to enhancing performance measures, implementing process monitoring and control, and optimizing process variables for applications involving high-carbon steel. 2024 E3S Web of Conferences -
An Effective BiLSTM-CRF Based Approach to Predict Student Achievement: An Experimental Evaluation
Currently, massive volumes of data are accumulated in databases when people configure new requirements and services. Data mining techniques and intelligent systems are emerging for managing large amounts of data and extracting actionable insights for policy development. As digital technology has grown, it has naturally become intertwined with e-learning practices. In order to facilitate communication between instructors and a diverse student body located all over the world, distance learning programs rely on Learning Management Systems (LMSs). Colleges can better accommodate their students' individual needs by using and analyzing interaction data that reveals variances in their learning progress. Predicting pupils' success or failure is a breeze with the help of learning analytics tools. Better learning outcomes might be achieved through early prediction leading to swift focused action. Preprocessing, feature selection, and model training are the three components of the proposed method. Data cleansing, data transformation, and data reduction are the preprocessing steps used here. It used a CFS to enable feature selection. This study has used a BiLSTM-CRF hybrid approach to train the model. When compared to tried-and-true techniques like CNN and CRF, the proposed method performs effectively. 2024 IEEE. -
Social media usage in indian banking and financial institutions
Due to technological innovation, the economy is transitioning from a market-driven to a network-oriented status, and social media has seized the leading I.T. trends in the technology sector. A paradigm change in banking and inance operations has occurred due to the upswing in innovation, transformation, and digitalisation in Indian banking and inancial organisations. The development of online banking, mobile apps, mobile banking, and tools like debit and credit cards has changed how customers utilise banking and inancing services. Thanks to social media and digital marketing, banks may now be practical tools for supporting customers' enterprises and gaining target prospects. To provide customers with rapid and eicient service in the post-pandemic age, Indian banks and inancial institutions are rushing to modernise their technology infrastructure and digital goods. Social media ofers users attractive options for 24-hour access to information and the use of inancial services across temporal and geographic boundaries. 2023 by IGI Global. All rights reserved. -
Usage of social media in education: A paradigm shift in the Indian education sector
The pandemic is anticipated to have a significant economic impact, and it already has a terrible effect on schooling worldwide. Due to the coronavirus's quick spread, educational institutions worldwide are making the drastic leap from delivering course materials in person to doing so online. The rapid use of digital technology represents a significant paradigm change that may ultimately transform the Indian educational system. The COVID-19 scenario provides an opportunity to test new tools and technology to make education more relevant for students who cannot travel to campuses. With online learning and evaluation, there is a chance to increase knowledge and productivity while acquiring new skill sets and expedited professional talents. In this chapter, the authors have examined the educational difficulties and opportunities brought on by the sudden COVID-19 epidemic, followed by a discussion of how the Indian educational system has to be recalibrated. Copyright 2023, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. 2023 by IGI Global. All rights reserved. -
Telemedicine-The New Digital Healthcare Platform
The concept of Telemedicine was known to the public since 1970s but the real potential was realized only during the pandemic Covid-19. The pandemic has reviewed Telemedicine and has given a wide acceptance among the public within a short span of time. This technology enabled tele-healing offers very little direct interaction between the healthcare providers and the patients. This article explores the technology requirements, ethical, and legal challenges, and opportunity to offer different healthcare services through Telemedicine. There is a scope for this technology morphing into platform models like what we have for social media. As more people start using telemedicine, the other healthcare services could be identified and offered for each individual. It can be concluded that telemedicine offers huge potential to take health benefits at places where health infrastructure could not be offered due to scalability issues. 2023, Indian Pharmaceutical Association. All rights reserved. -
Platform Business Model for Intelligent Supply Chain Operations
Platform economy involves technology to connect the dispersed network of participants. The Platform Business Model denotes a triangular participation between; the platform itself, the supplier and the consumer. The global market is witnessing a rise of digital platforms with an increase in the power of algorithms and cloud-based computing, connecting millions of participants in the network. The technological advancement makes the digital platforms a formidable force that ushers in change and brings out economic revolution across the globe. Many entrepreneurs have been created by these platforms, the workforces have the freedom to choose their work time and job, leading to an economically vibrant society. Platform businesses exist across various verticals, even in manufacturing setup. A variety of goods can be produced in a flexible assembly line. Hence the concept of outsourcing may require new definition from low-cost labour-based countries to high technology low-cost countries. There may be a transformation of economies shifting towards service, as major manufacturers may reorient themselves into service operators. Overall, the platform business model would make the entire operation more transparent with real time data transfer between the participants, leading to efficiency across the entire chain of business activities. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
APPLICATION OF ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL INDUSTRY
Artificial Technology is the blockbuster technology today. Pharmaceutical industry is no exception to the technology onslaught. Pharmaceutical industry adapting to the Artificial Intelligence (AI) to improve the overall performance of the industry processes, through improved efficiency in the operations and reduced lead time in the drug discovery. This is done through AIs ability of scanning huge data to speed up the drug discovery stage by identifying prospective drug candidates through technology like Structure-Based Virtual Screening (SBVS) and Fragment-Based Drug Discovery (FBDD). A nascent drug approach called as drug repurposing is very prospective through AI, and AI makes it possible to integrate nanotechnology, targeted drug development and personalised treatment based on genetic and proteomic data. AI has huge applications in the very important drug development stage of clinical trials. Selection of suitable participants, predicting drug responses will have huge cost reduction with the AI technology. In addition to drug trials, AI is transforming the pharmaceutical marketing process. Personalised communication, predictive sales forecasting, automated content generation and sentiment analysis are some of the possible as of now. These applications make the companies offer tailor made marketing strategies specific to physicians and patients and monitor the brand reputation and bring efficiency in the supply chain. Albeit the potential benefits, adoption of AI fully in the pharmaceutical industry has its own challenges. In the areas of data privacy, regulatory compliance and ethics related to drug testing, AI could face serious challenges. As the technology evolves, AI will have its impact on the pharmaceutical industry offering huge growth opportunities. India could emerge as a potential superpower in the pharmaceutical industry if AI is properly harnessed for industry growth. India can be the pharmacy for the entire world in the coming days if industry finds a way to utilize AI properly. 2024, Indian Pharmaceutical Association. All rights reserved. -
Quantum optimization for machine learning
Machine learning is a branch of Artificial Intelligence that seeks to make machines learn from data. It is being applied for solving real world problems with huge amount of data. Though, Machine Learning is receiving wide acceptance, however, execution time is one of the major concerns in practical implementations of Machine Learning techniques. It largely comprises of a set of techniques that trains a model by reducing the error between the desired or actual outcome and an estimated or predicted outcome, which is often called as loss function. Thus, training in machine learning techniques often requires solving a difficult optimization problem, which is the most expensive step in the entire model-building process and its applications. One of the possible solutions in near future for reducing execution time of training process in Machine learning techniques is to implement them on quantum computers instead of classical computers. It is conjectured that quantum computers may be exponentially faster than classical computers for solving problems which involve matrix operations. Some of the machine learning techniques like support vector machines make extensive use of matrices, which can be made faster by implementing them on quantum computers. However, their efficient implementation is non-trivial and requires existence of quantum memories. Thus, another possible solution in near term is to use a hybrid of Classical Quantum approach, where a machine learning model is implemented in classical computer but the optimization of loss function during training is performed on quantum computer instead of classical computer. Several Quantum optimization algorithms have been proposed in recent years, which can be classified as gradient based and gradient free optimization techniques. Gradient based techniques require the nature of optimization problem being solved to be convex, continuous and differentiable otherwise if the problem is non-convex then they can find local optima only whereas gradient free optimization techniques work well even with non-continuous, non-linear and nonconvex optimization problems. This chapter discusses a global optimization technique based on Adiabatic Quantum Computation (AQC) to solve minimization of loss function without any restriction on its structure and the underlying model, which is being learned. Further, it is also shown that in the proposed framework, AQC based approach would be superior to circuit-based approach in solving global optimization problems. 2020 Walter de Gruyter GmbH, Berlin/Boston. All rights reserved. -
Evolving corporate sustainable development: a case study of Mysore Paper Mills Limited
In 1987, the World Commission on Economic Development (WCED) popularized the term sustainable development in its well-cited report, Our Common Future. According to this report, sustainable development is defined as the development that meets the needs of the present without compromising the ability of future generations to meet their own needs. The WCED asserted that sustainable development required simultaneous adoption of environmental, economical, and equity principles. Bansal (Strategic Management Journal, 26(3), 197218, 2005) has conducted a study of Canadian firms in the oil and gas, mining, and forestry industries from 1986 to 1995. The study found that both resources based and institutional factors influence corporate sustainable development. This paper studied the corporate sustainable development of Mysore Paper Mills Ltd. from 1995 to 2011 using the same model. The study found that independent variables with significant impact on environmental integrity and overall sustainability were fines, penalties, court cases (total) involved by the company, and log of total assets. On economic prosperity, the independent variable with significant impact is log of total assets. For social equity, the independent variable with significant impact is foreign sales as percentage of total sales, number of fines/penalties/court cases (total), number of fines/penalties/court cases (environmental), log(total assets), and return on equity. 2013, Springer Science+Business Media Dordrecht. -
Marangoni convection flow of cntsal2o3water hybrid nanofluids with variable fluid properties
The current investigation reports the impact of amalgamations of carbon nanotubes and aluminum oxide in boosting the thermochemical properties of water as the base fluid. It is assumed that the viscosity of the base fluid varies with temperature exponentially and temperature varies linearly. The governing equations prevalent in the current problem accompanied by boundary conditions are transformed into a highly nonlinear system of ODEs by means of similarity trans-formations. The numerical result for the obtained mathematical model was acquired by using the bvp4c inbuilt function in MATLAB. The domain effects were analyzed through sketched graphs. It is further observed that the Nusselt number decreases with the rising value of the variable viscosity and the thermal conductivity parameters. 2021 Begell House, Inc. www.begellhouse.com. -
Two-phase Sakiadis flow of a nanoliquid with nonlinear Boussinesq approximation and Brownian motion past a vertical plate: Koo-Kleinstreuer-Li model
This paper investigates the Sakiadis flow of a Al2O3-H2O nanoliquid with consistently scattered dust particles over a vertical plate. To account for the effect of the Brownian movement, the Koo-Kleinstreuer-Li model is considered. In some thermal systems such as reactor safety areas, and solar collectors, combustion works from moderate to high temperature, making the relationship between the temperature and density nonlinear. To consider this temperature-dependent density, the nonlinear Boussinesq estimation is utilized. The present physical structure, which includes energy and momentum equations, is converted into a system of ordinary, coupled, and nonlinear differential conditions through the help of similarity transformations. By using the finite difference code, the subsequent equations have been numerically solved. The impact on the velocity and the thermal profiles of the nondimensional parameters is visualized through graphs. Both the Nusselt number and friction factor strengthen with ahigher nonlinear thermal parameter in the case of nonlinear Boussinesq approximation compared to the linear Boussinesq case. Growing estimations of nonlinear thermal parameter deteriorate the thermal profile but it boosts the velocity profile of both liquid and dust phases. 2020 Wiley Periodicals LLC -
Chest Diseases Prediction from X-ray Images using CNN Models: A Study
Chest Disease creates serious health issues for human beings all over the world. Identifying these diseases in earlier stages helps people to treat them early and save their life. Conventional Neural Networks play an important role in the health sector especially in predicting diseases in the earlier stages. X-rays are one of the major parameters which help to identify Chest diseases accurately. In this paper, we study the prediction of chest diseases such as Pneumonia, COVID-19, and Tuberculosis (TB) from the X-ray images. The prediction of these diseases is analyzed with the support of three CNN Models such as VGG19, Resnet50V2, and Densenet201, and results are elaborated in the terms of Accuracy and Loss. Though all three models are highly accurate and consistent, considering the factors like architectural size, training speed, etc. Resnet50V2 is the best model for all three diseases. It trained with F1 score accuracies of 0.98,0.92,0.97 for pneumonia, tuberculosis, covid respectively. 2021 -
Impact of microfinance on socio economic development-evidence from South India
The role and impact of microfinance in the socio economic development of the low income people who are not credit worthy has been assessing and exploring by researchers for its sustainable operation and the development of formal financial system. The study explores the socio economic development of microfinance in South India. The objectives are based on variables like financial inclusion, employment and earning opportunities, social capital, and well-being. -
Impact of microfinance in socio economic development evidence from south India
The role and impact of microfinance in the socio economic development of the low income people who are not credit worthy has been assessing and exploring by researchers for its sustainable operation and the development of formal financial system. The study explores the socio economic development of microfinance in South India. The objectives are based on variables like financial inclusion, employment and earning opportunities, social inclusion, economic development. social development, personal development. family relationship, economic newlineresilience, social capital, and well-being. The scope of the study is limited to the newlinebeneficiaries of microfinance in four states, namely Andhra Pradesh (undivided),Karnataka, Tamil Nadu and Kerala. The sampling method used in the study is non probability sampling technique of purposive sampling. Both primary and secondary data are used and it is found that microfinance has contributed to financial inclusion, social inclusion and employment and earning opportunities. Besides it has supported substantially social developinent and moderately economic development of the beneficiaries. Further it is noted that it has positive effect on personal development, and family development. Thus it has contributed to develop economic resilience and social capital among low income people which ultimately sustain their well-being, The major findings of the study are: is found that social inclusion, employment and earning opportunity and newlinefinancial inclusion have a significant influence on social development. It is explored that the financial inclusion and employment and earning opportunity can predict the economic development. It is concluded that the financial inclusion and employment and earning opportunity have a significant influence on the family relationship. It is found that the financial inclusion, employment and earning opportunity newlinecan predict the Personal development. It is observed that the personal development newlineand social development can predict the social capital. -
Diametral paths in total graphs of complete graphs, complete bipartite graphs and wheels
The diametral path of a graph is the shortest path between two vertices which has length equal to diameter of that graph. In raising of structures with columns and beams in Civil Engineering, determining of diametral paths is of great significance. In this paper, the number of diametral paths is determined in complete graphs, complete bipartite graphs, wheels and their total graphs. IAEME Publication. -
Zeolite Framework-Anchored Carbon-Doped White Graphene as Antipoisoning Cathode Materials for Proton-Exchange Membrane Fuel Cells
Efficient, robust, and highly sustainable platinum (Pt)-free electrocatalysts are pivotal for advancing the fuel cell (FC) performance. This study introduces a facile and green approach for synthesizing a rationally designed Co-based zeolite imidazole framework (ZIF) anchored onto carbon (C)-doped white graphene (C-WG) as an electrocatalyst (Z@-C-WG) for the oxygen reduction reaction (ORR). The synergistic effects between the ZIF and C-WG yield an electrocatalyst with enriched active sites. The intrinsic dual active sites coupled with favorable physicochemical properties promote oxygen adsorption and enhance the mass transfer rate. The hybrid catalyst demonstrates significantly improved activity, stability, and poisoning resistivity compared to Pt/C. The synthesized electrocatalyst exhibits superior ORR activity with an onset potential of Eon ?0.967 V (EonPt/C ?0.94 V) in acidic medium and Eon ?0.931 V (Eon(Pt/C) ?0.919) in alkaline medium. Validation through intrinsic parameters including electrochemical active area (ECSA), active site density (ASD), mass activity (MA), and turnover frequency (TOF) corroborates the catalysts enhanced performance. The stability tested for over 35 h coupled with high methanol tolerance affirms the catalysts robust activity. The Z@-C-WG electrocatalyst surpasses Pt/C in resisting poisoning species (CO and KSCN); also, poststripping analysis strongly confirms the presence of abundant active centers. Overall, this study offers a unique perspective toward the engineering of ORR catalyst architecture for fuel cell cathode applications. 2024 American Chemical Society. -
Employee development and training as a tool for improving employee performance in an organization /
Patent Number: 202241025596, Applicant: Dr. Rekha N Patil.
Employee development and training as a tool for improving employee performance in an organization Abstract: A company's long-term success depends on how well its employees are trained and how well they are taught new things. Workers can use these programmes to improve their skills, but businesses can use them to improve employee productivity and the company's culture at the same time. The 2020 Work Institute found that cutting down on employee turnover has a big impact on a company's bottom line. -
Impact of management - Information - system (MIS) on effective HRM in a business /
Patent Number: 202241006289, Applicant: Dr.K.Santhana Lakshmi.
Impact of Management- Information- System (MIS) on effective HRM in a business Abstract: Human resource management is now recognised as a critical component of business. The human resources department of an ERP system has a transaction processing layer that handles tasks such as attendance tracking and wage calculation. Tracking employees is also a component of operational work. This serves as the jumping-off point for strategic work. With the increasing importance of human resource management and the growing size of businesses, maintaining employee data and producing accurate reports have become critical components of any business's operations and strategy.