Faculty Publications
Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736
Publications by NITK Faculty
Browse
357 results
Search Results
Item Women Empowerment Through Social Media: Insights from India(Springer, 2020) Pai, R.R.; Alathur, S.In recent times, social media has been used by people to participate in a particular event and has resulted in the generation of a large amount of data online. These data can be helpful for the decision-maker in promoting and devising necessary policies at the right time. The purpose of this paper is to understand the peoples’ sentiments and emotions about a recent social movement. Based on the result and analysis, the possible inferences have been presented. © Springer Nature Singapore Pte Ltd 2020.Item Cloud-Based E-Learning Service: Insight from India(Springer, 2020) Vanitha, P.S.; Alathur, S.The factors influencing the adoption of a cloud platform in the development of e-learning service is identified in this study. The e-learning service based on a cloud platform is analyzed from single/multiple data center dimensions. In spite of developing e-learning infrastructure, the service of the cloud platform is often adopted. The cloud-based e-learning simulation environment is created using CloudAnalyst tool. The efficiency of the cloud is analyzed based on e-learning hosted on a single data center and multiple data centers. The service time and overall response time of the datacenter are analyzed through CloudAnalyst. The infrastructure cost estimation for both models is also calculated. The study identifies that these factors influence the development of e-learning services in a cloud platform. Earlier studies less analyze the influencing factors of the online courses in the cloud environment. In future research, the cost factor can also be considered in the development of e-learning services. Fewer studies are reported on e-learning service based on a cloud platform in the Indian context. The current study demonstrates how cloud Infrastructure as a Service (IaaS) improves the performance of the e-learning system. © Springer Nature Singapore Pte Ltd 2020.Item Challenges and opportunities for coastal reservoir development in India(Elsevier, 2020) Sitharam, T.G.; Kolathayar, S.In India, presently 320 million people remain in the water-starved parts of the country, and according to the United Nations, 840 million people are expected to be water-starved in India by 2050. Although there has been no significant change in India’s rainfall pattern, the number of areas under drought in India is increasing every year. Increase in population is one of the reasons for water scarcity, but inefficient management of the precipitation received stands as the major cause. Although extreme rainfall events are significantly increasing, there is a spatial nonuniformity in the rainfall events that occur. This makes it difficult to preplan large-scale water storage at different locations. Solution to India’s water problem lies in conserving the abundant monsoon water bounty by storing it in coastal reservoirs for future use. This paper focuses on the challenges and opportunities in India for storing river floodwaters in coastal reservoir. The paper also presents the concept of Sarovar Mala, a chain of coastal reservoirs, an innovative concept that has the potential to ensure water availability to India throughout the year. © 2020 Elsevier Inc.Item Examining the effects of vented dams on land use and land cover in the Shambhavi Catchment: a multitemporal sentinel imagery analysis(Elsevier Ltd, 2024) Chandana, S.; Aishwarya Hegde, A.; Umesh, P.; Chandan, M.C.The rapid expansion of the global economy has given rise to concerning ecological consequences, notably a dramatic increase in land cover change (LCC). This section presents how to use the Google Earth Engine (GEE) cloud platform to explore the administrative divisions of the Southern Indian Dakshina Kannada (DK) district, which were chosen for their LCC susceptibility. Leveraging GEE, we generated a time series dataset tracking LCC over a 4-year period (2019–22). Our findings demonstrate an impressive overall accuracy (OA) of 96.30% for 2019 and 95.47% for 2022. A significant revelation in our study is the 13.64% reduction in forested areas, accompanied by a 0.68% increase in urban development within the district. This research attempt offers vital insights into the impact of dam construction on LCC, aiding informed decisions on water resource management. This research promotes a sustainable and ecologically conscious approach to holistic development in the study region and beyond. © 2024 Elsevier B.V.Item Does Board Gender Diversity Enhance the Sustainable Performance of Firms? Empirical Evidence From India(Emerald Publishing, 2025) Poornima, S.; Gopalakrishna, B.V.; Samanta, M.This study explores the link between board gender diversity and corporate sustainability disclosure. The study employs 417 Indian companies to investigate how the incorporation of corporate sustainability disclosure and gender diversity on the board of directors interrelate. The findings show that companies with a higher proportion of female directors enhance sustainable disclosure by taking favorable reporting measures to address environmental issues, social welfare concerns, and governance problems. The companies with more women on board incorporate highly sensitive initiatives regarding the environment, society, and overall governance. These results suggest that women directors add valuable diversity, leading to better decisions and a stronger focus on social and environmental concerns. This study extends the prevailing literature on gender studies and sustainability by presenting empirical recommendations about the role of females in corporate decision-making, specifically related to the sustainability of Indian firms. © 2026 Dhishna Pannikot. All rights reserved.Item 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.Item 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.Item 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.Item 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.Item 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.