Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    WAVE FORECASTING FOR THE WEST COAST OF IHDIA
    (American Society of Civil Engineers (ASCE), 1970) Dattatri, J.; Renukaradhya, P.S.
    The applicability of the general Wave Forecasting procedures like the SMB and the PNJ methods, to the Indian coasts is studied. The study consisted in analysing the bynoptic charts to obtain the necessary wind characteristics. The computed wind characteristics were used in the above Forecasting methods to yield significant wave heights These were compared with the wave characteristics as recorded by a sub-surface pressure type recorder after suitable modifications to account for the attenuation of wave pressure with depth. The predicted wave heights compare well with the recorded wave heights and the SMB method predicts wave heights better for the case studied. © 1970 American Society of Civil Engineers.
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    FIELD STUDY OP SURATHKAL BEACH
    (American Society of Civil Engineers (ASCE), 1970) Suryaprakasa Rao, P.; Kassim, P.
    Beach profile observations and sediment sampling were carried out for six months at frequent intervals to study the seasonal changes of the beach. Iht study is helpful in bringing out the qualitative and quantitative changes of the beach under varying wave and tide conditions. Useful information is obtained and presented regarding i) the maximum rate of erosion ii) the total quantity of material eroded iii) the critical wave steepness values which changed from depositing to eroding nature and iv) the sediment characteristics of the beach. © 1970 American Society of Civil Engineers.
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    Overtaking behaviour of vehicles on undivided roads under mixed traffic conditions
    (Hong Kong Society for Transportation Studies Limited general@transportmetrica.org, 2015) Asaithambi, G.; Shravani, G.
    Overtaking is one of the most complex and important manoeuvre on undivided roads where the vehicles use the opposing lane to overtake the slower vehicles with the presence of oncoming vehicles from opposite direction. This process involves lane-change manoeuvres, acceleration and deceleration actions and estimation of relative speed of overtaking and overtaken vehicles, and also, estimation of speed and distance of the oncoming vehicle. Traffic on Indian roads is highly mixed in nature with widely varying static and dynamic characteristics of vehicles. These vehicles do not follow strict lane discipline and occupy any available lateral position on the road space. In the present study, details of overtaking data is collected on a two-lane two-way rural road using moving car observer method and registration plate method and overtaking characteristics of all types of vehicles under mixed traffic conditions are observed and mathematically modelled. Two types of overtaking strategies are observed in the field such as flying and overtaking. Graphs are plotted between the relative speed of the overtaking and overtaken vehicles against the overtaking time and negative correlation is found between the speed differential for all categories of vehicles and the total overtaking time. It was found the increase in flow rate causes an increase in demand of passing and decrease in passing supply.
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    Climatic effects on sugarcane productivity in India: A stochastic production function application
    (Inderscience Publishers, 2015) Singh, A.; Sharma, P.; Ambrammal, S.K.
    The present study estimates the influence of climatic and non-climatic factors on mean yield and yield variability of sugarcane crop in different weather seasons (e.g., rainy, winter and summer) in India. Sugarcane mean-yield for fourteen major sugarcane growing states from different agro-ecological zones are delimitated in panel data during 1971-2009. Regression coefficient for mean yield and yield variability production function (i.e. risk increasing or decreasing inputs) has been estimated through log-linear regression model with the help of Just and Pope (stochastic) production function specification. Empirical results based on feasible generalise least square (FGLS) estimations shows a significant effect of rainfall, maximum and minimum temperatures on sugarcane mean yield and yield variability. Whereas, average maximum temperature in summer and average minimum temperature in rainy season have a negative and statistically significant impact on sugarcane mean yield. Sugarcane mean yield positively gets affected with average maximum temperature during rainy and winter season. © © 2015 Inderscience Enterprises Ltd.
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    E-learning services: Insights from Twitter Analytics
    (Institute of Electrical and Electronics Engineers Inc., 2019) Vanitha, P.S.; Alathur, S.
    Electronic learning is a formalized teaching-learning service using electronic resources. With the help of Information and Communication Technologies (ICTs), knowledge can be shared via the Internet anywhere, anytime. Although, the massive growth of technologies available, e-learning service may not distribute equally in developing countries like India. The objective of the study is to explore the technological challenges of e-learning services in the Indian context. In the present study, the real-Time feedback about the technological challenges is collected directly from Twitter social media. Initially, the tweets were extracted based on the hashtags, and the location-based analysis is performed using geocoding. In this study, various types of technological challenges are identified, and the most influential factor is determined. It gives better results when this research is carried on developing countries like India. The suggestion provided in this research will help to decrease the technological challenges in the e-learning service. © 2019 IEEE.
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    Mobile health system framework in India
    (Association for Computing Machinery, 2019) Pai, R.R.; Alathur, S.
    The healthcare system in India has been progressive with the specific health policies evolved over a period of time. Currently, it is in a phase of incorporating mobile technology into healthcare service delivery (i.e., mobile health) to make it a patient-centric model for managing acute, chronic, and preventive health conditions. This provides authentic interactions between the patient/user and the healthcare professionals for seeking health communication and information during emergencies and disaster conditions. However, there exists a great challenge in integrating mobile health solutions within the existing system and acceptance among the individuals, as the patient data is primarily collected through sensors and while the interventions are connected electronically. With this aim, the present research by using qualitative interviews (among residents and technology entrepreneurs) attempts to propose a provenance framework for the mobile health system in India. It also highlights its strengths and weakness and delineates components identified from qualitative interviews for describing the proposed provenance framework. © 2019 Association for Computing Machinery.
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    Policies to Mitigate Select Consequence of Social Media: Insights from India
    (Springer, 2020) Chetty, N.; Alathur, S.
    Apart from the benefits to humanity, often, social media possess consequences such as online hate content, fake news, online abuse, cyber-bullying and other demeaning expressions. As the increased hate content causes several health issues, it is necessary to mitigate it. Hate content mitigation may attain sustainable development goals of United Nations. Therefore, the objective of the article is to identify the possible policies to mitigate social media consequence-online hate content. In this regard, online and offline opinions from the Indian respondents are gathered through the questionnaire designed for the purpose. The software which is developed in R programming language is used to analyse opinions. The analysis results reveal the role of government and non-government authorities for digital hate content reduction. The non-governmental communities-civil societies, private sectors, and intermediaries are more important to reduce digital hate content. © 2020, Springer Nature Singapore Pte Ltd.
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    Child Online Safety Intervention Through Empowering Parents and Technical Experts: Indian Context
    (Springer Science and Business Media Deutschland GmbH, 2020) Andrews, D.; Alathur, S.; Chetty, N.
    Child online safety is a state of being protected from online problematic content and environment. Purpose of this study is to examine the stakeholders’ empowered status influence on child online safety. Using questionnaires survey responses on relational aspects of stakeholder empowerment and child online safety is collected from parents and technical experts who were working with the Internet safety. The responses are analyzed with the help of SPSS software and the results are examined for influencing factors of child online safety. Restricting resources, blocking at different levels and parental control are the different influencing factors of child online safety. As the parental control influencing factor exists with both the models of parents and technical experts initiated, it plays an important role in attaining child online safety. The influencing factors which are observed from the study can be emphasized to control child online threats and provide online safety. © 2020, IFIP International Federation for Information Processing.
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    Developing Indian Smart Cities: Insights from Social Media
    (Springer Science and Business Media Deutschland GmbH, 2020) Chetty, N.; Alathur, S.
    Smart cities play an important role in overall development of a nation by progressing with economic, environmental and social domains. India has projected to create 100 smart cities in near future. The purpose of the paper is to identify the key influencing components and the social media users’ expectations for smart cities development in India. The Twitter social media content of smart cities council and the user posts on smart cities are collected through Twitter application programming interface. The collected tweets are cleaned by pre-processing methods and analyzed for insights. Technology, infrastructure, innovation, transport, mobility and management are the key influencing components for smart cities development in India. The social media users are expecting to emphasize on combating the issues like Covid-19 and use of IoT technology for the success of smart cities project. The integration of different components could increase the success of the project. The analysis of the content shared by the groups (smart cities council and the social media users) which are at different sides of smart cities’ development project, increases the novelty of the study. © 2020, IFIP International Federation for Information Processing.
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    Determinants of mobile health application awareness and use in India: An empirical analysis
    (Association for Computing Machinery, 2020) Pai, R.R.; Alathur, S.
    Purpose-To examine the influence of mobile health in improving health service delivery in India. With this aim, the current research examines the role of individuals' cognitive factors, characteristics of mobile-service, and health-related behaviour from a technology viewpoint towards awareness and use of mobile health applications. Design/methodology/approach-Quantitative approach has been used with data being collected both online and offline through structured questionnaires. The factors for determining variables for awareness and use were prepared based on technology acceptance and health belief literature. A sample size of 528 responses was analysed using structural equation modelling. Findings-Mobile service enabled empowerment and health information orientation were found to have a direct influence on awareness and use. Originality/value-Earlier studies on mobile health relating to India explains its importance in health service delivery and were adequate in explaining individuals' cognitive factors, characteristics of mobile-service, and health-related behaviour from a technology viewpoint on awareness and use. Therefore, the current study attempts to establish relationships between these factors for measuring awareness and use. Drawing on the statistical inferences, the implication has been recommended. © 2020 ACM.