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A study of CNN models for re-identification of vehicles
Vehicle Re-identification has evolved in recent times. Initially, clicking a single picture of a vehicle or a car was done manually, inviting the workforce to complete a specified task. With the growth in technology, the method and techniques in Vehicle Re-Id also have advanced, transforming from manual to automation. Surveillance cameras were used to capture vehicle images and retrieve information about a specific vehicle. Re-trieving and identifying the images of the vehicle is done using computer vision, the most important branch of computer science and artificial intelligence. Earlier, Vehicle Re-Id implemented a single algorithm on a dataset, making the corresponding result insufficient to determine its effects. This paper proposes a brief survey of multi-modal techniques and methods for vehicle re-identification and fingerprinting. The different attributes of the vehicle are considered for ANPR (Automatic number plate recognition) for identifying the number plate, focusing on the vehicle's details or features as the initial phase of identification, and then the vehicle number plate. 2023 IEEE. -
A study of consumers' attitude towards online private label brands using the Tri - Component model
Online private label products seem to be a promising and profitable deal for the Indian online retailers. The purpose of this paper was to understand the consumers' attitude and buying behaviour towards online private label brands. For this purpose, we empirically tested a model comprising of variables such as cognitive, affective, behavioural, purchase intention, and actual buying behaviour. Data were gathered by using a schedule. A sample of 400 respondents was gathered, and the hypotheses were tested by performing structural equation modelling. The findings highlighted that the cognitive, affective, and behavioural factors of attitude influenced each other strongly as well as the purchase intention. In addition, the results obtained revealed that purchase intention led to the buying of online private label brands. It is expected that the findings of this study will enable the marketers of online private label brands to be more informed about the consumers' attitude formation process. Furthermore, it will help them to understand the areas related to private label brands, which need their attention. 1964-2018 Associated Management Consultants. -
A Study of Customer Discernment, on Organic Products in Sikkim
Asian Journal of Research in Business Economics and Management, Vol. 7, Issue 1, pp. 10-15, ISSN No. 2249-7307 -
A Study of Customer Satisfaction towards Selected Hotels in Bangalore
Golden Research Thoughts, Vol. 2, Issue No. 2, pp. 61-68, ISSN No. 2231-5063 -
A study of Darcy-Bard regular and chaotic convection using a new local thermal non-equilibrium formulation
The onset of Darcy-Bard regular and chaotic convection in a porous medium is studied by considering phase-lag effects that naturally arise in the thermal non-equilibrium heat transfer problem between the fluid and solid phases. A new type of heat equation is derived for both the phases. Using a double Fourier series and a novel decomposition, an extended Vadasz-Lorenz model with three phase-lag effects is derived. New parameters arise due to the phase-lag effects between local acceleration, convective acceleration, and thermal diffusion. The principle of exchange of stabilities is found to be valid and the subcritical instability is discounted. The new perspective supports the finding of an analytical expression for the critical Darcy-Rayleigh numbers representing, respectively, the onset of regular and chaotic convection. The understanding of the transition from the local thermal non-equilibrium situation to the local thermal equilibrium one is also best explained through the new perspective. In its present elegant form, the extended Vadasz-Lorenz system with three phase-lag effects is analyzed using the largest Lyapunov exponent and the bifurcation diagram. It is found that the lag effects not only give rise to a quantitative difference in the above two metrics concerning chaos, but also present a qualitative difference as well in the form of the very nature of chaos. 2021 Author(s). -
A study of diesel and Pongamia Pinnata biodiesel combustion in compression ignition engines using zero-dimensional modelling and experimental methods
The present study develops a single-zone zero-dimensional progressive combustion simulation model using Python programming language for compression ignition engines. The model is capable of predicting in-cylinder pressure, heat release rate, engine performance, and emissions characteristics. The numerical model is experimentally validated using resuts from engine testing for diesel, Pongamia Pinnata biodiesel and diesel-biodiesel blends. The chemical composition of fuel is identified using Gas Chromatography-Mass Spectrometry. The values of power output, mean effective pressure and exhaust oxygen concentration are independently obtained from the numerical model and from the experiments. The engine performance is not significantly affected for biodiesel to diesel blending ratio of up to 30%. A higher oxygen concentration in the exhaust gas is observed with increase in blending ratio. The developed numerical model would be useful in studying the performance and emission characteristics for any alternative fuel with known calorific value and chemical composition. 2020 Informa UK Limited, trading as Taylor & Francis Group. -
A Study of Emotion Classification of Music Lyrics using LSTM Networks
Emotion Recognition is a vital component of human-computer interaction and plays a pivotal role in applications such as sentiment analysis, virtual assistants, and affective computing. Long Short-Term Memory (LSTM) models are a subset of Recurrent Neural Networks (RNNs). It has gained significant popularity for their effectiveness in sequence modeling tasks, including emotion recognition. The study presents a review on the application of Long Short-Term Memory (LSTM) networks for emotion classification using music lyrics. It offers a thorough review of relevant literature and outlines the methodology for implementing LSTM models for emotion recognition. Furthermore, the study emphasizes the significance of hyperparameter tuning in building effective machine-learning models, particularly LSTM-based models. 2024 IEEE. -
A study of entrepreneurial choices and challenges encountered by young graduates
India, one of the most populous countries is growing phenomenally, though the challenges of unemployment is compounding. An unique method of overcoming this issue is through motivation of college students in becoming entrepreneurs, which will not only create employment but will also reduce the pressure of gaining employment on the students. However, flexible government policies in favor of entrepreneurs will facilitate the economic development of the country. In this study, a quantitative method is used to collect the data on entrepreneurship and the changing preferences of college students. A survey (N= 209) among college students of Bengaluru, India is conducted to identify the impact of entrepreneurship on work life choices of young graduates, evaluate the emergence of entrepreneurs in influencing decisions and analyzing the differing choices of males and females in terms of entrepreneurial selections. Analysis of the collected data indicates that Indian Government policy, unskilled labor, entrepreneurial education, family background and caste are factors affecting the entrepreneurial growth rate in Bangalore. Entrepreneurship education in Bangalore is still in the early stages, thus, depriving the college students from acquiring gainful practical knowledge. The structure of a conventional learning system and lack of social experiences also affects the learning process. 2019, International Journal of Scientific and Technology Research. All rights reserved. -
A study of entrepreneurial choices and challenges encountered by young graduates /
International Journal of Scientific & Technology Research, Vol.8, Issue 11, pp.3960-3966, ISSN No: 2277-8616. -
A study of factors affecting consumer behavioural intentions towards adoption of gamification
Advanced technology with a high degree of accessibility of the Internet across countries has led to the emergence of e-commerce and m-commerce. The global brands and the start-ups are equally attracted to this change in the way the goods and services can be marketed, making market access through the Internet a core part of the strategy for marketers. The same has led to various digital promotional techniques for customer engagement. Among various digital promotional techniques, gamification is one technique where customers are expected to play online games to win the reward points for getting discounts for their purchases. An attempt was made to identify various factors influencing the consumer behavioural intentions towards adoption of gamification as one of the means to get products at discounted prices. In this study, factor analysis was used to find the major factors that influence the consumer behavioural intentions to adopt gamification as one of the digital promotional techniques. The study found eight major factors that influence the adoption of gamification, they are Personal Perspective, Usefulness, Easy to Use, Price Consciousness, Perceived Critical Mass, Flow Experience, Awareness, and Personal Innovativeness. This study brought in a different perspective by exploring the role of possible factors influencing gamification adoption in the Indian market, helping marketers, the major factors, and their influence on the consumer's behavioural intentions of adoption of gamification as one of the digital promotion techniques. -
A Study of Factors Affecting the Adoption of Digital Currencies
Digital currency has taken into the world slowly but steadily, rising in the leads of trades and commercialization, which can create a huge impact on the economic wellbeing. Digital currencies can be further classified into Cryptocurrencies, Virtual currencies and Central bank digital currencies. In this research we study thefactors of adopting digital currencies. Primary data has been collected using structured questionnaire. A total of 140 responses are used for the purpose of analysis. We have used correlation and heatmap foranalysing the impact of the identified factors such as Technological, Economical and Social. 2024 IEEE. -
A Study of Factors of Internet Addiction and Its Impact on Online Compulsive Buying Behaviour: Indian Millennial Perspective
Compulsive Buying occurs when a person indulges in excessive purchasing overcome by social pressures and negative emotions. The main objective in this study is to garner insights into this issue from a marketing perspective and also to understand whether the millennials preference to avoid social contact physically but to crave for it in a virtual space has an impact. Conducted over a seven-month period with data collected and analyzed from 202 respondents in Bangalore, the study revealed that emotions like loneliness, depression, low self-esteem and anxiety encourage the respondents to go ahead and maintain relationships in a virtual space rather than engage in face-to-face interactions. Furthermore, it was realized that the growing Internet Addiction can also be positively related to online Compulsive Buying. This study is of high significance as it allows marketers to reach out and capture that segment of elusive customers who are always online and are guaranteed to make a purchase. Therefore, allowing companies can align their marketing strategies accordingly develop products and services, resulting in better sales revenues and repeat purchases. 2019 International Management Institute, New Delhi. -
A study of factors of internet addiction and its impact on online compulsive buying behaviour: Indian millennial perspective /
Global Business Review, Vol.21, Issue 6, pp.1-18 -
A Study of Financialization of Commodity Markets in India
For numerous financial institutions, Commodity Futures (CF) has emerged as a widespread asset class since the 2000s. From 2000 to 2010, the estimation of the number of commodity index traders quadrupled, also, the number of hedge funds tripled. Recently, it has been noticed that in India, there occurs a vast inflow of investment toward the CF. Simultaneously, there occurs a problem of extremely higher prices along with volatility in commodity prices in India. However, studies on the financialization of the Commodity Market (CM) in India are not sufficient. This study was presented for analyzing the role of the financialization of CMs in India. Analyzing the association betweenCMs and equities markets in India is the major intention behind this study. Here, the Indian- MCX of India, the NSE of India, and the S&P500 Index are the sources from where the data has been gleaned. The outcome has been evaluated by utilizing a vector autoregression. The output demonstrated that no positive interdependence was exhibited by the correlation betwixt MCX Comdex returns and CNX Nifty. Consequently, a higher percentage of the mean value was attained by the commodity of daily returns of metal of commodity of agriculture. 2023 EDP Sciences. All rights reserved. -
A Study of In-store Factors Affecting Impulse Buying of Apparels amongst College Students and Young Professionals in Bangalore
Asian Journal of Research in Business Economics and Management, Vol. 7, Issue 3, pp. 1-15, ISSN No. 2249-7307. -
A Study of Investment Behavior Of Economically Weaker Section (EWS) Investors
While investing, it is most important for an investor that he/she understand and follows the basic principles of investing to gain maximum advantages out of it. The present study analyzes the investment behavior of 190 economically weaker section (EWS) investors and rank their preferences and reasons using Garret ranking. The study observes that investors prefer to invest in traditional investment avenue over modern avenue due to lack of awareness and ease of investing across demographics. Results of ANOVA inform a small shift to mutual funds and change in perceived risk and return behavior in selected age, income and education category. The study recommends for opening of dedicated small financial planning centers/branches/kiosks etc to increase their awareness level and participation so that they can gain maximum advantages from their investment. The Electrochemical Society -
A study of investment behaviour based on demographics /
Journal of Commerce and Accounting Research, Vol.3, Issue 4, pp.23-32, ISSN No: 2277-2146. -
A study of mediating factors influencing student motivation and behaviour: A literature review
This study aims to examine the mediating factors of learning environment, technology, good behaviour, and effective communication, sports, media, problem-based case study, and psychological influence on student motivation and behaviour. The study employs secondary data based on peer-reviewed articles, conference papers, and books collected from a variety of sources such as Scopus, WoS, J-Store, EBSCO, ProQuest, etc. between 1982 and 2022. The 103 articles have been selected based on the keywords which related to study. The results evidenced that the mediating factors have a significant positive impact on student motivation and behaviour. This study contributes to the existing literature by providing a com- prehensive understanding of the relationship between the mediating factors and student motivation and behaviour. The findings of this study have implications for educational institutions, policy makers, and educators in creating effective learning environments that can enhance student motivation and behaviour. 2023, IGI Global. All rights reserved. -
A Study of Preprocessing Techniques on Digital Microscopic Blood Smear Images to Detect Leukemia
Digital microscopic blood smear images can get distorted due to the noise as a result of excessive staining during slide preparation or external factors during the acquisition of images. Noise in the image can affect the output of further steps in image processing and can have an impact on the accuracy of results. Hence, it is always better to denoise the image before feeding it to the automatic diagnostic system. There are many noise reduction filters available; the selection of the best filter is also very important. This paper presents a comparative study of some common spatial filters like wiener filter, bilateral filter, Gaussian filter, median filter and mean filter which are efficient in noise reduction, along with their summary and experimental results. Performing comparative analysis of result based on PSNR, SNR and MSE values, it can be determined that median filter is most suitable method for denoising digital blood smear images. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.