Faculty Publications

Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736

Publications by NITK Faculty

Browse

Author: search.filters.author.Bhat, S.

Search Results

Now showing 1 - 10 of 26
  • No Thumbnail Available
    Item
    Firm-specific determinants of R&D behaviour of foreign affiliates in India
    (Springer Singapore, 2020) Bhat, S.
    In the recent past, one can observe that multinationals from developed countries are increasingly investing in R&D in the host developing countries. Nevertheless, the majority of the R&D activities of these multinationals are still located in the developed countries. Hence, there is a need to understand the factors that lead to enhanced R&D behaviour of foreign affiliates in developing countries like India. The present study attempts to understand the firm-specific factors that determine the R&D behaviour of foreign affiliates in India. The data used for the analysis is secondary data extracted from Prowess database of Centre for Monitoring Indian Economy. Econometric analysis is carried out on a panel data consisting of foreign-affiliated firms in India for a period of five years from 2011 to 2015. The results of the random effects Tobit analysis indicate that the traditional firm-specific variables like size of the firm and age of the firm are statistically significant in determining R&D intensity even in the case of foreign affiliates. Further analysis carried out using Heckman two-step econometric specification reveals that other firm-specific factors like labour intensity and outsourcing intensity are also relevant in determining R&D activities of the foreign affiliates in India. © Springer Nature Singapore Pte Ltd. 2020.
  • No Thumbnail Available
    Item
    Equal channel angular processing-a modern deforming technique for quality products
    (Elsevier, 2021) Bhat K, U.K.; Bhat Panemangalore, D.B.; Bhat, S.
    The grain size plays a significant role in determining the mechanical properties of the materials. Decreasing grain size increases strength, toughness, and ductility. Due to these, a lot of research has been executed to develop deforming techniques to produce ultrafine-grained materials. Among several plastic deformation techniques available, equal channel angular pressing or processing (ECAP) produces ultra-fine grained materials with substantial amount of high angle grain boundaries. ECAP produces ultra-fine grained material with typical substructural features, which are difficult to achieve using other severe deformation techniques. This chapter presents characteristics, variables, die design, and die materials employed in the process. The chapter also presents recent developments in the domain, such as, use of finite element techniques, etc. © 2021 Elsevier Inc. All rights reserved.
  • No Thumbnail Available
    Item
    A Simple Displacement Function to Determine the Response of a Micro Capacitive Pressure Sensor
    (2011) Simha, A.; Kulkarni, S.M.; Meenatchi Sundaram, S.; Bhat, S.
    The response of a capacitive pressure sensor is generally represented by a fourth order partial differential equation which is complex to solve and does not possess an exact solution. Several attempts have been made earlier through various techniques such as the Galerkin method, Finite Difference Method etc.... In this paper an attempt has been made to develop a simple approximate analytical approach to determine the response of a micro capacitive pressure sensor whose diaphragm is designed to undergo very small deflections (typically less than 25% of the thickness). The non-uniform gap between the electrodes is mathematically expressed as a combination of the initial gap between the electrodes (in the undeformed state) and a displacement function in (x,y). The proposed displacement function is then utilized in evaluating the capacitance as a function of the applied pressure. The results obtained from the analytical approach are benchmarked against those obtained from COMSOL Multiphysics®, a popular Finite Element Analysis tool in the MEMS industry. It is observed that the results obtained from COMSOL Multiphysics® and those from the analytical approach are in good agreement with a maximum deviation of about 8.66%. © 2011 American Institute of Physics.
  • No Thumbnail Available
    Item
    Heat treatment of friction surfaced steel-aluminum couple
    (Trans Tech Publications Ltd ttp@transtec.ch, 2015) Bhat, K.; Nithin; Bhat, S.; Sudeendran
    Friction surfacing is a solid state process and it is amenable for deposition of aluminum on steel. In this investigation, the mild steel surface was coated with a layer of aluminum using friction surfacing route. The aluminum thickness was in the range of 40-50 μm. It was followed by a heat treatment step to convert aluminum layer in to an aluminide layer. Heat treatment was done in open atmosphere at 700 °C for 2 hours. Microstuctural analysis showed that the aluminide layer is mainly made of Fe2Al5 and Fe4Al13, FeAl and Fe3Al are minor in fraction. Formation of Fe2Al5 is discussed. The aluminide layer also has some amount of porosities. © (2015) Trans Tech Publications, Switzerland.
  • No Thumbnail Available
    Item
    Monophone and Triphone Acoustic Phonetic Model for Kannada Speech Recognition System
    (Institute of Electrical and Electronics Engineers Inc., 2022) Kumar, T.N.M.; Jayan, A.; Bhat, S.; Anvith, M.; Narasimhadhan, A.V.
    The automatic Speech Recognition system (ASR) is the most widely used application in the speech domain. ASR systems generate text data from spoken utterances without manual intervention. In this work, we build an ASR system for the Kannada language. For building the proposed system, we extract Mel Frequency Cepstral Coefficients (MFCC) features from the audio data, and the Kannada language model is developed using corresponding labels. The dictionary generation and phonetic labelings are automated. Recognition performance is compared for both monophonic and triphone models. The word error rate of 15.73 % and the sentence error rate of 55.5 % are achieved for the triphone model. Comparatively, the triphone model gives a better performance than the monophonic model. © 2022 IEEE.
  • No Thumbnail Available
    Item
    Big data in roads and pavements: Insights from a bibliometric study and a critical review of recent publications
    (CRC Press/Balkema, 2022) Bhat, S.; Suresha, S.N.
    This article is intended to present the quantitative study of scientific research publications in the recent decade on the application of big data in the area of road transport and pavement engineering. The present study was conducted in two phases. In the first phase, 5036 Scopus indexed research documents such as research articles, review articles, conference papers, books, and book chapters published during 2010 and 2021 were referred. The study presents the geographical origin of the research documents; list of journals in which articles frequently featured; trends in the annual publication of research articles in journals, citations, and average citations per documents; and the frequency distribution of articles with different range of citations. In the second phase, nearly 100 articles that had cited the research article on the application of big data tools for the pavement distress detection were examined for the various types of machine learning, deep learning algorithms. © 2022 the Author(s).
  • No Thumbnail Available
    Item
    Leveraging SIR and Barabási-Albert Models for Epidemic Modelling
    (IEEE Computer Society, 2024) Bhat, S.; Ragha Sai, V.; Mundody, S.; Guddeti, R.M.R.
    The Susceptible, Infected, and Recovered (SIR) model predicts the number of living beings in a population who are infected and recovering from a disease. This article addresses the critical challenge of modelling and simulating the spread of contagious diseases in a population. Drawing inspiration from global events like the COVID-19 pandemic, our proposed simulation aims to comprehensively understand the epidemic dynamics and thus enhances the public awareness for effective decision-making. The proposed simulation integrates the computational models and simulation techniques, including the logistic functions, agent-based models, SIR models, and network-based spread models. © 2024 FRUCT.
  • No Thumbnail Available
    Item
    Accuracy Comparison of Logistic Regression and Decision Tree Prediction Models Using Machine Learning Technique
    (Springer Science and Business Media Deutschland GmbH, 2025) Tantri, B.R.; Bhat, S.
    With the advancements in data science and machine learning, it has become beneficial for scientists, technologists, social scientists, and businessmen to adopt the latest developments in machine learning into their domains to make important decisions about their problems of interest. The biggest advantage of machine learning algorithms in such fields is their prediction capability. Statistical tools in powerful machine-learning languages like R have led to simpler solutions to more complex problems. Various models are in use in the process of making decisions and predictions. The most commonly used model in many situations is the regression model. Herein, it is intended to use the logistic regression model and the decision tree model in the prediction of binary categorical variables. R programming is used in the development of these prediction models. It is intended to compare the accuracy of the two models by using the confusion matrices. Two different datasets have been used for the prediction using these models and their comparisons. It has been observed that prediction using a decision tree model has a better accuracy as compared to that of a logistic regression model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
  • No Thumbnail Available
    Item
    Online reviews and its impact on brand equity
    (Inderscience Publishers editor@inderscience.com, 2018) Chakraborty, U.; Bhat, S.
    The significant rise of online social media increases consumer's power over brands. Therefore, this study attempts to assess the impact of online reviews on brand equity dimensions, namely, brand awareness, brand associations (in terms of perceived value, brand personality and organisational associations) and perceived quality. The present study integrates source credibility theory and attribution theory to understand the impact of online reviews on brands. The study follows mixed method approach by using quantitative analysis (structural equation modeling) and qualitative text analysis (netnography). For quantitative study, data has been collected from select Facebook brand pages with the help of Google form application. For qualitative study, "Apple Users India" brand community is considered to conduct netnography. Quantitative analysis reveals that online reviews have more significant impact on brand awareness and perceived value. Qualitative analysis also finds evidences of brand equity dimensions in the online brand community. © 2018 Inderscience Enterprises Ltd.
  • No Thumbnail Available
    Item
    Interrelationship between trade and environment: a bibliometric analysis of published articles from the last two decades
    (Springer Science and Business Media Deutschland GmbH, 2023) Padhan, L.; Bhat, S.
    Extant literature indicates that the concepts of international trade and the environment are intertwined. There is a plethora of theoretical and empirical research studies that explore the relationship between the two concepts. However, no bibliometric attempts have been made to analyze these publications to understand the current research trends in the trade and environment regulation/protection/policy intersection. Hence, the present study conducted a bibliometric analysis of 1390 research articles collected from the Scopus database from 2000 to 2021. The study accomplished performance and science mapping analysis using Bibliometrix and VOSViewer software. The study shows an increasing publication trend. The most productive country was the USA (259 publications with 8400 citations), and the most productive institution was the University of California (33 publications). The study found that Cole MA was the most relevant author in this area by considering multiple matrices. By using keywords, conceptual structure, and bibliographic coupling analysis, the study suggests that future studies can be conducted on climate change, carbon leakage, climate policy, environmental protection, air pollution, economic growth, carbon dioxide emission, emission trading, abatement cost, environmental performance, green supply chain management, composition effect, carbon footprints, and multi-regional input-output model. The current study provides scholars and practitioners interested in trade and environmental interlinkages with a comprehensive overview of the domain by presenting readers with significant studies, authors, universities, concepts, and sources. Further, the study results will be helpful for scholars to get insights into the current research development trends and research themes in the trade and environmental regulation field. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.