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Investigation of dielectric properties of indigenous blended ester oil for electric system applications
The insulation condition of a transformer decides the longevity of the equipment. The unpredicted failure of power transformer will lead to major disaster in the distribution network and it affects both environment and public safety. Nowadays synthetic oil and natural esters are alternatives to transformer oil because of the biodegradable nature. In this paper, investigations were carried out to study the performance of the blended ester. The different properties investigated were viscosity, breakdown voltage, flash point, dielectric dissipation factor and moisture content. Comparisons of the properties were made between mineral oil, vegetable oil without additives and with additives. Further Investigation was carried out to study the impact of antioxidants and degasification. The results indicated that the addition of antioxidants and degasification of the vegetable oil improve significantly its voltage withstanding capacity. The Indigenous oil is code named as DM; Indigenous oil with DBPC is codenamed as DM1, Indigenous oil with BHA is codenamed as DM2. The results have been tabulated and found to be satisfactory. 2020 ASTES Publishers. All rights reserved. -
Studies on Tensile Properties of Graphene Hydroxyl Reinforced Aluminium 6061 Composites for Vehicle Structures Applications
Aluminium composite plays a significant role in the mechanical structures. Low tensile strength of the aluminium alloy limits its application in mechanical structures. Graphene hydroxyl (GrOH) is a noble emerging material which is an allotropic form of carbon. It has high cohesive strength, good bonding ability with other materials. Carbon bonds processes high compatibility when it reinforced with other material. Reinforcement of GrOH with aluminium composites enhances the wear strength of composite material. This paper focused on analysis of tensile properties and percentage elongation of aluminium composites reinforced with GrOH with various weight percentage (wt. %). The characteristics of aluminium composites, particularly related to its tensile properties are very much important for its use in vehicle structures applications. 2022. MechAero Foundation for Technical Research & Education Excellence. -
Reinforcement learning strategies using Monte-Carlo to solve the blackjack problem
Blackjack is a classic casino game in which the player attempts to outsmart the dealer by drawing a combination of cards with face values that add up to just under or equal to 21 but are more incredible than the hand of the dealer he manages to come up with. This study considers a simplified variation of blackjack, which has a dealer and plays no active role after the first two draws. A different game regime will be modeled for everyone to ten multiples of the conventional 52-card deck. Irrespective of the number of standard decks utilized, the game is played as a randomized discrete-time process. For determining the optimum course of action in terms of policy, we teach an agent-a decision maker-to optimize across the decision space of the game, considering the procedure as a finite Markov decision chain. To choose the most effective course of action, we mainly research Monte Carlo-based reinforcement learning approaches and compare them with q-learning, dynamic programming, and temporal difference. The performance of the distinct model-free policy iteration techniques is presented in this study, framing the game as a reinforcement learning problem. 2024 Institute of Advanced Engineering and Science. All rights reserved. -
Analysis and prediction of seed quality using machine learning
The mainstay of the economy has always been agriculture, and the majority of tasks are still carried out without the use of modern technology. Currently, the ability of human intelligence to forecast seed quality is used. Because it lacks a validation method, the existing seed prediction analysis is ineffective. Here, we have tried to create a prediction model that uses machine learning algorithms to forecast seed quality, leading to high crop yield and high-quality harvests. For precise seed categorization, this model was created using convolutional neural networks and trained using the seed dataset. Using data that can be used to forecast the future, this model is used to learn about whether the seeds are of premium quality, standard quality, or regular quality. While testing data are employed in the algorithms predictive analytics, training data and validation data are used for categorization reasons. Thus, by examining the training accuracy of the convolution neural network (CNN) model and the prediction accuracy of the algorithm, the projects primary goal is to develop the best method for the more accurate prediction of seed quality. 2023 Institute of Advanced Engineering and Science. All rights reserved. -
Forecasting stock market volatility in India - Using linear and non - Linear models
Volatility models and their forecasting performance attracted the interest of many economic agents, especially for financial risk management. The role of economic agents is to decide which one will be best model for forecasting volatility. This paper examines the modeling and forecasting performance of BSE Sensex daily stock market returns over the period from 1 July 1997 to 31 October 2008, by using simple Random Walk, GARCH, EGARCH and TGARCH models. The out-of-sample forecasts are evaluated by using MAE, RMSE, MAPE and Theil - U Statistics. The result suggests the standardized residual of white noise series strongly rejects the null hypothesis for GARCH model and capture the serial dependence and inherent nonlinearity series. Moreover, Random walk model dominates the forecasting performance and it is considered as the best model followed by the TGARCH model. International Economic Society. -
Determinants of Equity Share Prices in India: A Panel Data Approach
The Romanian Economic Journal, Vol-15 (46), pp. 205-228. ISSN-1454-4296 -
Causality between public expenditure and economic growth: The indian case
This study investigates the causal nexus between public expenditure and economic growth in India using cointegration approach and error correction model. The analysis was carried out over the period 1973 to 2012. The Cointegration test result confirms the existence of long-run equilibrium relationship between public expenditure and economic growth in India. The empirical results based on the error-correction model estimate indicates one-way causality runs from economic growth to public expenditure in the short-run and long-run, supporting the Wagner's law of public expenditure. -
Do futures and options trading increase spot market volatility in India? the case of S&P CNX Nifty
The exponential generalised autoregressive conditional heteroscedasticity (EGARCH) model followed by standard GARCH (1, 1) model were employed to investigate the impact of introduction of futures and options trading on the volatility of the underlying spot market in India. The empirical analysis was conducted for the daily closing price returns of S&P CNX Nifty spot index from 1st January, 1996 through 31st October, 2008. The empirical results reveal that the spot market volatility has been declined after the introduction of futures and options trading in India. Besides, the empirical results indicate that the impact of recent news has a greater impact on the spot market changes following the onset of futures/options trading. At the same time, the persistence of volatility shocks has been declined in the post-derivatives scenario indicating increased efficiency of the Indian spot market. Hence, the present study suggests that the introduction of futures and options trading have improved the speed and quality of information flowing in the spot market. This enhances the overall market depth, increases market liquidity and ultimately reduces informational asymmetries and therefore compresses spot market volatility in India. Copyright 2010 Inderscience Enterprises Ltd. -
Price Discovery and Asymmetric Volatility Spillovers in Indian Spot-Futures Gold Markets
International Journal of Economic Sciences and Applied Research, Vol-5 (3), pp. 65-80. ISSN-1791-5120 -
Exchange rate volatility and export growth in India: An ARDL bounds testing approach
This paper empirically investigates the impact of exchange rate volatility on the real exports in India using the ARDL bounds testing procedure proposed by Pesaran et al. (2001). Using annual time series data, the empirical analyses has been carried out for the period 1970 to 2011. The study results confirm that real exports are cointegrated with exchange rate volatility, real exchange rate, gross domestic product and foreign economic activity. Our findings indicate that the exchange rate volatility has significant negative impact on real exports both in the short-run and long-run, implying that higher exchange rate fluctuation tends to reduce real exports in India. Besides, the real exchange rate has negative short-run and positive long-run effects on real exports. The empirical results reveal that GDP has a positive and significant impact on India's real exports in the long-run, but the impact turns out to be insignificant in the short-run. In addition, the foreign economic activity exerts significant negative and positive impact on real exports in the short-run and long-run, respectively. 2013 Growing Science Ltd. All rights reserved. -
An empirical investigation of foreign direct investment and economic growth in SAARC nations
Purpose This paper aims to investigate the causal nexus between foreign direct investment (FDI) and economic growth in SAARC countries. Design/methodology/approach Johansen's cointegration test was employed to examine the long?run relationship between foreign direct investment and economic growth in SAARC countries. Besides, the vector error correction model (VECM) was employed to examine the causal nexus between foreign direct investment and economic growth in SAARC countries for the years 1970?2007. Finally, the impulse response function (IRF) has been employed to investigate the time paths of log of foreign direct investment (LFDI) in response to one?unit shock to the log of gross domestic product (LGDP) and vice versa. Findings The Johansen cointegration result establishes a long?run relationship between foreign direct investment and gross domestic product (GDP) for the sample of SAARC nations, namely, Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka. The empirical results of the vector error correction model exhibit a long?run bidirectional causal link between GDP and FDI for the selected SAARC nations except India. The test results show that there is a one?way long?run causal link from GDP to FDI for India. Research limitations/implications This paper employed annual data to examine the causal nexus between FDI and economic growth. Therefore, researchers are encouraged to test the FDI?growth relationship further by using quarterly data. Practical implications The SAARC nations should adopt effective policy measures that would substantially enlarge and diversify their economic base, improve local skills and build up a stock of human capital recourses capabilities, enhance economic stability and liberalise their market in order to attract as well as benefit from long?term FDI inflows. Originality/value This paper would be immensely helpful to the policy makers of SAARC countries to plan their FDI policies in a way that would enhance growth and development of their respective economies. 2011, Emerald Group Publishing Limited -
Tourism and Economic Growth in Sri Lanka: An ARDL Bounds Testing Approach
The purpose of the study is to examine the impact of tourism on economic growth in Sri Lanka through the Autoregressive Distributed Lag (ARDL) bounds testing approach. The analysis was carried out for the period from 1969 to 2009. By and large, our analysis reveals that tourism has a positive impact on economic growth in Sri Lanka both in the short-run and long-run. 2012, National Institute of Urban Affairs (NIUA). All rights reserved. -
Causality among Energy Consumption, CO2 Emission, Economic Growth and Trade: A Case of India
The present study attempts to examine the causal nexus between energy consumption, CO2 emissions, economic growth and trade in India using the Perron (1989) unit root test, Gregory and Hansen (1996) cointegration test and vector error-correction model (VECM). The study results exhibit a long-run relationship between energy consumption, CO2 emissions, economic growth and trade in India. The empirical results confirm that energy consumption influences the economic activity in the short run, implying that higher rate of economic growth is driven by consumption demand for energy in the economy. This is also well in consistence with the findings of Paul and Bhattacharya (2004) in the Indian context. Further, the study detects one-way causation that exists from energy use to CO2 emission and trade, and CO2 emissions to economic growth in the short run. 2015 Indian Institute of Foreign Trade. -
Stock Market Linkages in Emerging Asia-Pacific Markets
Stock Market Linkages in Emerging Asia-Pacific Markets -
Essential employable skill sets in management graduates for finance job roles in India
Purpose: There has been an increase in the number of highly qualified management graduates specialized in finance from various esteemed universities in India, thus increasing the competition for finance job roles in the country. This, therefore, brings in the need for the employees or the prospective candidates to mold their soft skills so as to make them desirable by the companies and hence employable. The purpose of this paper is to provide a list of skills required by management graduates to become employable for finance job roles from the perspective of corporate executives. This list will enable prospective candidates to prepare themselves for a career in the field of finance. Design/methodology/approach: The research was carried out through the collection of data from 117 finance professionals with a minimum work experience of 5 years with the help of structured questionnaires. This was then analyzed through factor analysis and the list of 15 factors was obtained. Findings: A list of 15 essential factors was obtained through the analysis of the data. The essential skills included empathetic and judicious behavior, professional etiquette and employee well-being, ethical behavior, conflict management, change analysis and prediction; practicality and organizational presence of mind; social and moral presence of mind; self-confidence and effective written communication; effective interpersonal communication and employee value systems; responsibility and self-awareness; problem diagnosis and problem-solving; real-time work and activity experience; professional development and advancement; technology rationalization and effective information generation. The findings also included that a candidate should be able to effectively present crucial information and should possess practical advisory skills. Originality/value: The study will be highly beneficial for management graduates who have specialized in finance to secure finance job roles in India. This paper will enable the students to prepare themselves in the essential soft skills required for these job roles apart from technical knowledge and hard skills. 2021, Emerald Publishing Limited. -
Role of Experiential Learning Program on Business Writing Skills of Management Students
Purpose: Writing has been identified as an important skill. Business writing refers to the form of writing that is used to communicate in formal settings in various corporations and organizations. A number of research studies have identified writing as a crucial skill that needs to be developed by students. The purpose of the study is therefore to understand how an experiential learning module on business writing can improve the email-writing and report-writing skills of management postgraduates. Design/Methodology/Approach: The study uses an experimental research methodology based on experiential learning pedagogy to obtain the results of the intervention on the business writing skills of the management postgraduate students. The module was developed by the researcher and then was taught to the students through the online platform Zoom. Pretest, posttest, and delayed posttest analysis was conducted to find the impact of the intervention. The students were evaluated by an industry expert to avoid bias as they were trained by the researcher. Findings: The results of the study indicated that the intervention had a significant impact on the business writing skills of the participants. The results of the component analysis also indicated a large effect on the content, persuasive abilities, lateral thinking abilities, and the interpersonal skills of the participants in written communication. The analysis of the test scores revealed that an initial training based on the experiential learning methods can have a long-term impact on the improvement of the skills of the students, as the delayed posttest results were more than the posttest results. Originality/value: The study will be beneficial to educators, trainers, as well as students in understanding how experiential learning can impact the business writing skills of the students. 2024 by the Association for Business Communication. -
Tourism and Economic Growth in Sri Lanka: An ARDL Bounds Testing Approach
The Romanian Economic Journal Vol. 15, No. 45, pp. 211-226, ISSN No. 1454-4296 -
DMD Based Multi-Object Spectrograph for INdian Spectroscopic and Imaging Space Telescope: INSIST
INdian Spectroscopic and Imaging Space Telescope (INSIST) is the next-generation UV-Optical space mission proposed by the Indian Astronomical community motivated by the great success of India's first multi-wavelength Astronomical satellite (ASTROSAT) where Ultra Violet Imaging Telescope (UVIT) was one of the main payload launched in 2015 by Indian Space Research Organisation. INSIST is primarily designed for photometry observation in three bands (g-[400nm-550nm], u-[300nm-400nm] and UV-[150nm-300nm]) simultaneously over 0.25 sq.degree field of view. INSIST is equipped with a low resolution [R?500] spectrograph for multi-Object slitless spectroscopy over the imaging field of view and also has a medium resolution [R?2000] spectrograph for multi-object slit spectroscopy in UV-band over ?6 sq.arcmin sky. MEMS-based Digital Micromirror Device [DMD] is used to form configurable slits for the selection of objects at the focal plane of the telescope for multi-object slit spectrograph. Multi-Object spectrograph with DMD as a re-configurable slit for INSIST is designed and the performance of the spectrograph is presented. 2023 World Scientific Publishing Company. -
Indian spectroscopic and imaging space telescope (INSIST): An optics design trade-off study
Large ground and space-based surveys in optical and near-infrared (NIR) wavelengths will revolutionize astronomy in the coming decade. Unfortunately, no ultraviolet (UV) facilities are planned to complement these surveys, which is crucial for studying the most active phase of the Universe that includes star formation in galaxies, active galactic nuclei (AGN), galaxy clusters, etc. A dedicated UV mission, the Indian Spectroscopic and Imaging Space Telescope (INSIST), is proposed to observe the UV sky. The compelling science objectives defined a set of high-level mission requirements. According to which, the INSIST is to have a wide field-of-view (FoV ? 0.25 square degree) comparable to Indias Ultraviolet Imaging Telescope (UVIT) and about two orders of magnitude larger than that of the Hubble Space Telescope, simultaneous imaging of the FoV in UV (150300nm), u (300400nm) and g (400550nm) bands, a Multi-Object-Slit medium resolution spectroscopy in a narrow FoV in UV and a simultaneous slitless spectroscopic capability in UV and u bands. To achieve these requirements, several optical design configurations were explored. Here, we present an optical design trade study conducted on various optical design configurations to achieve a sensitivity limit of mAB> 26 mag, in the UV band and a spatial resolution better than 0.2 ? , using a 1-m size telescope aperture. We also present results from our fabrication and alignment tolerance analysis of the selected optical designs, and the design performance that meets the design requirements. Critical parameters like the encircled energy concentration, point spread function (its stability over the field), effects of the spiders supporting the secondary, etc., are explored during the design phase. Based on the trade study conducted in reference to various performance matrices, we down-selected the most optimal optical design for the INSIST. 2023, Indian Academy of Sciences. -
Psychological distress and quality of community life among migratory construction workers in India
Objectives: The objectives of this study are to elicit sociodemographic details, assess the level of psychological distress, and measure the quality of community life (QoCL) of migratory construction workers. Materials and Methods: A cross-sectional research design and survey method of sampling was followed. The semi-structured interview schedule, self-reporting questionnaire, and QoCL scale were used as measures for the study. Results: Out of 75 respondents, 37 (49.3%) did not have formal education, 38 (50.7%) have migrated for less than a month duration, 33 (44.0%) respondents migrated with their families. The mean age of respondents was 32.03 9.82 years. About 48 (64.0%) were identified as potential respondents for psychosocial care and female respondents (M = 12.90 4.03, t = ?3.03, P < 0.003) have higher distress than males (M = 9.50 4.56, t = ?3.03, P < 0.003) ones. Overall, QoCL indicated a below moderate (59.08 8.31) level. Conclusion: The distress was high and QoCL indicated a below moderate level. Intersectoral and community mental health services were required to enhance QoCL and reduce distress among migratory construction workers. 2023 Published by Scientific Scholar on behalf of Journal of Neurosciences in Rural Practice.