Faculty Publications
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Item Importance of geology and soil survey for mobile communication site planning using RS/GIS technology(2010) Naveenchandra, B.; Lokesh, K.N.; Usha; Gangadhara Bhat, H.G.Geology and Soil survey constitutes a valuable resource inventory linked with the survival of life on the earth. The technological advancements in the field of remote sensing and Geographical Information System have been a boon for such surveys. The present paper describes the role of Remote sensing and Geographical Information System (GIS) technologies for geological mapping and characterizing the importance of soils at various scales for identification of suitable sites for mobile communication network. Cellular network design is becoming more and more important since the network quality is highly dependent on the distribution of base stations. To design a cellular network for a particular region efficiently and accurately, the site suitability is an important determination. The country's mobile services market is forecast to grow by a compound annual rate of 28.3% in next five years. India is a vibrant market from communications point of view. The subscriber base in the wireless market in India, the world's fastest growing telecom market reached another milestone when it surpassed 200 million subscribers in Aug 2008. At present there are around 54000 cell sites operated by different GSM/CDMA operators. This number would further go up to 80,000 in next couple of years. To serve an increasing number of users requires an increasing number of base stations. Thus, operators must carefully plan the deployment and configurations of radio base stations to support voice and data traffic at a level of quality expected by customers. The present study carried out in the Udupi district of Karnataka State based on IRS 1C/1D LISS-III and CARTOSAT-1 satellite data. Various thematic maps like geology, soil, geomorphology, slope and land use/land cover with DEM has helped in understanding the terrain in a better way. The multi spectral satellite data in conjunction with SuperGIS, SuperPad and Getac GPS hardware have helped to formulate suitable plans and strategies for an effective Telecom planning and development in Udupi district. © 2010 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved.Item A reverse sealed-bid auction system for mobile commerce(UK Simulation Society Clifton Lane Nottingham NG11 8NS, 2012) Singh, M.P.; Kella, S.In recent years, the demand for mobile commerce has increased. Due to this increased demand, mobile devices usage in internet auctions has also increased. In this paper, we propose a reverse sealed-bid auction model using collaborative mobile agents (MoRSAS) which can be used on mobile-based environment. We also proposed a new auction protocol using ECC (Elliptic Curve Cryptosystem) based signcryption scheme which reduces the computational load and communication overhead, providing high security with small key size. In our proposal, Trusted Dealer (TD) is the one who generates auction keys and key shares, also works like registration manager. Our method reduces the network load and executes the auction process efficiently. The proposed protocol satisfies the security requirements of sealed-bid auction protocol, like confidentiality, anonymity, bid privacy etc. © 2012, UK Simulation Society. All rights reserved.Item Selection criteria for decorative dimension stones(CAFET INNOVA Technical Society cafetinnova@gmail.com 1-2-18/103, Mohini Mansion, Gagan Mahal Road, Domalguda, Hyderabad 500029, 2014) Manjunatha, B.R.; Venkat Reddy, D.V.; Krishnakumar, K.N.; Balakrishna, K.; Manjunatha, H.V.; Gurumurthy, G.P.Selection of decorative dimension stones suitable for exterior and interior decorations is one of the challenging tasks for geologists, architectural, structural and civil engineers. Therefore, understanding the knowledge of general properties of commercial grade rocks and their quality assessment are at most important before selecting stones for construction. In many instances, decorative dimension stones are usually preferred on the basis proximity. In such cases, the colour and textural characteristics may not only be suitable, but also weather out faster. In some instances, specific design may not suits the structure due to masking colour and other inherent defects. One of the secrets behind the success of commercial stone industry is the production of defect-free decorative dimension stone blocks. Generally, not all rocks available in the earth’s crust are suitable for architectural and civil engineering construction purposes. In this study, the main criteria for the selection of commercial grade decorative dimension rocks will be discussed along with their trade names. Sometimes, trade names of rocks confuse with generic names. Here, therefore, both names of rocks, particularly marketed in India are given to avoid confusion among geologists, engineers and business persons. In addition, non-destructive methods of testing the mechanical properties of rocks - such as ultrasonic pulse velocity and uniaxial compressive strength are discussed. These methods seem to substitute the conventional, hazardous and destructive method of testing of decorative dimension stones. ©2014 Cafet-Innova Technical Society. All rights reserved.Item Dynamic pricing of call rates: Bayesian approach(Elsevier B.V., 2015) Dugar, C.; Jain, A.; Rajawat, A.; Bhattacharya, S.In this paper, we present different cases and their possible solutions in the telecommunications market by incorporating dynamically changing call rates over the channel depending upon the network congestion. Since dynamic pricing of call rates is beneficial from both the perspectives of subscribers and service providers, our solution can significantly help to adapt this pricing mechanism in real market scenario. In order to deploy this scheme, we have incorporated the competing network provider's strategy into the mechanism of deciding dynamic price. Establishment of Nash equilibrium with the competing network provider has stabilized our pricing mechanism. © 2014 Elsevier B.V. All rights reserved.Item Social network pruning for building optimal social network: A user perspective(Elsevier B.V., 2017) Sumith, N.; Annappa, B.; Bhattacharya, S.Social networks with millions of nodes and edges are difficult to visualize and understand. Therefore, approaches to simplify social networks are needed. This paper addresses the problem of pruning social network while not only retaining but also improving its information propagation properties. The paper presents an approach which examines the nodal attribute of a node and develops a criterion to retain a subset of nodes to form a pruned graph of the original social network. To authenticate feasibility of the proposed approach to information propagation process, it is evaluated on small world properties such as average clustering coefficient, diameter, path length, connected components and modularity. The pruned graph, when compared to original social network, shows improvement in small world properties which are essential for information propagation. Results also give a significantly more refined picture of social network, than has been previously highlighted. The efficacy of the pruned graph is demonstrated in the information diffusion process under Independent Cascade (IC) and Linear Threshold (LT) models on various seeding strategies. In all size ranges and across various seeding strategies, the proposed approach performs consistently well in IC model and outperforms other approaches in LT model. Although, the paper discusses the problem with the context of information propagation for viral marketing, the pruned graph generated from the proposed approach is also suitable for any application, where information propagation has to take place reasonably fast and effectively. © 2016 Elsevier B.V.Item Evaluation of Reactive Power Support and Loss Allocation in a Pool Based Competitive Electricity Market(Walter de Gruyter GmbH info@degruyter.com, 2017) Moger, T.; Dhadbanjan, T.This paper presents a new approach using modified Y-bus matrix to compute the reactive power support and loss allocation in a pool based competitive electricity market. The inherent characteristic of the reactive power in system operation is properly addressed in the paper. A detailed case study on a 11-bus equivalent system is carried out to illustrate the effectiveness of the proposed approach. It is also tested on a large 259-bus equivalent system of Indian western region power grid. A comparison is also made with other existing approaches in the literature to highlight the features of the proposed approach. Simulation results show that the reactive power support and loss allocation from the proposed approach is carried out in a systematic manner which takes into consideration the power demand and the relative location of the nodes in the network. © 2017 Walter de Gruyter GmbH, Berlin/Boston.Item Influence maximization in large social networks: Heuristics, models and parameters(Elsevier B.V., 2018) Sumith, N.; Annappa, B.; Bhattacharya, S.Online social networks play a major role not only in socio psychological front, but also in the economic aspect. The way social network serves as a platform of information spread, has attracted a wide range of applications at its doorstep. In recent years, lot of efforts are directed to use the phenomenon of vast spread of information, via social networks, in various applications, ranging from poll analysis, product marketing, identifying influential users and so on. One such application that has gained research attention is the influence maximization problem. The influence maximization problem aims to fetch the top influential users in the social networks. The aim of the paper is to provide a comprehensive analysis on the state of art approaches towards identifying influential users. In this review, we discuss various challenges and approaches to identify influential users in online social networks. This review concludes with future research direction, helping researchers to bring possible improvements to the existing body of work. © 2018 Elsevier B.V.Item Novel Stock Crisis Prediction Technique - A Study on Indian Stock Market(Institute of Electrical and Electronics Engineers Inc., 2021) Naik, N.; Mohan, B.R.A stock market crash is a drop in stock prices more than 10% across the major indices. Stock crisis prediction is a difficult task due to more volatility in the stock market. Stock price sell-offs are due to various reasons such as company earnings, geopolitical tension, financial crisis, and pandemic situations. Crisis prediction is a challenging task for researchers and investors. We proposed a stock crisis prediction model based on the Hybrid Feature Selection (HFS) technique. First, we proposed the HFS algorithm to removes the irrelevant financial parameters features of stock. The second is the Naive Bayes method is considered to classify the strong fundamental stock. The third is we have used the Relative Strength Index (RSI) method to find a bubble in stock price. The fourth is we have used moving average statistics to identify the crisis point in stock prices. The fifth is stock crisis prediction based on Extreme Gradient Boosting (XGBoost) and Deep Neural Network (DNN) regression method. The performance of the model is evaluated based on Mean Squared Error (MSE), Mean Absolute Error (MAE), and Root Mean Square Error(RMSE). HFS based XGBoost method was performed better than HFS based DNN method for predicting the stock crisis. The experiments considered the Indian datasets to carry out the task. In the future, the researchers can explore other technical indicators to predict the crisis point. There is more scope to improve and fine-tune the XGBoost method with a different optimizer. © 2013 IEEE.Item Is the effect of oil price shock asymmetric on the Indian stock market? Firm-level evidence from energy-intensive companies(Emerald Publishing, 2023) Aruna, B.; Rajesh Acharya, R.H.Purpose: This paper aims to examine the asymmetric impact of the oil price increase and decrease on stock returns at the firm level. Design/methodology/approach: To ascertain the impact oil price can exert on the stock price at the firm level, this study uses panel structural vector auto regression with various linear and nonlinear measures of oil price shock on a data set, containing 1,168 firms listed in Indian stock markets. This study also considers stock index returns, Fama-French factors and inflation as control variables. Findings: This paper finds evidence that at firm level, net oil price increase and decrease have an asymmetric impact on stock returns. Other oil price shock measures, namely, shock because of oil price increase and decrease, do not show any sign of asymmetric impact on stock returns. Originality/value: The comparison of firm-level return on its response towards oil price fluctuation can give valuable insights into a firm’s features. © 2022, Emerald Publishing Limited.Item Oil price effect on asset pricing of renewable energy firms in India: a panel quantile regression approach(Emerald Publishing, 2023) Mishra, L.; Rajesh Acharya, R.H.Purpose: This study aims to investigate the relationship between oil prices and stock returns of renewable energy firms in India under different market conditions. Design/methodology/approach: The authors use the panel quantile framework with Fama–French–Carhart’s (1997) four-factor asset pricing model. All renewable energy firms listed in the National Stock Exchange of India are considered in this study. Three oil prices, such as West Texas Intermediate spot price, Europe Brent oil price and Indian basket oil price, are used in the regression. The analysis is done for the whole sample and its subgroups. Findings: In the whole sample, stock returns of renewable energy firms respond positively to oil price changes in extreme market conditions only. In the subgroups of the renewable energy firms, the relationship between stock returns and oil price is positive and more robust in higher quantiles across all subgroup firms. Originality/value: The contribution of the study is explained as follows. First, this study helps to explore the relationship between oil and stock returns of the renewable energy sector under different market conditions in the Indian context. Second, existing studies explore the effect of oil prices on stock returns of the renewable energy sector at the industry level, and most of the studies are in developed countries. To the best of the authors’ knowledge, this is the first study in the context of India. Third, this is a firm-level study. © 2022, Emerald Publishing Limited.