Research Publications

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Air pollution by inland waterways transportation in India
(IJSRST, 2023-06) Mehrotra, Parag.; Veera SethilKumar G.
Economy of any country depends on the existence of an efficient transport sector. There exists different modes of transportation such as railways, roadways, inland waterways, coastal shipping and airways. Sea freight is the best choice for international freight shipping because ships are used for transporting 80% of the world’s goods by volume. But at the same time, it becomes a great threat to human and ecosystem in the form of carbon emissions. Now-a-days, inland waterways are preferred over roadways and railways for domestic shipping in all the countries. India invests more in the development of inland waterways to have a cost effective cargo shipping. As the number of inland vessels increases, it may lead to the severe impact on environment due to more carbon emissions. Unless steps to reduce carbon emissions from vessels are adopted, it could increase by as much as 20% to 120% by 2050. This study reviews the inland waterways transportation of India and investigates the air pollution from inland vessels. Keywords: inland vessel; air pollution; carbon emission; transportation; environment
Analysis of band Selection algorithms for endmember extraction in hyperspectral Images
(IOSR-JECE, 2016-12) Rashini, M; Veera SenthilKumar, G.
This paper presents a novel approach of band selection for dimensionality reduction in Hyperspectral images (HSI). There are several methods of dimensionality reduction which can be further categorized into two groups; feature extraction and feature or band selection. Due to transformation in feature extraction, the critical information may have been distorted. Hence feature selection is preferable for dimensionality reduction because it preserves the relevant original information. Despite many algorithms exist for dimensionality reduction; it is even now a challenging task of selecting informative bands from the large volume data. The number of bands is estimated with the concept of Virtual Dimensionality (VD), because it provides reliable estimate. Bands are selected from hyperspectral images using Exemplar Based Band Selection (EBBS). End members are extracted from the selected bands using Simplex Growing Algorithm(SGA). The performance of EBBS is compared with the existing band selection techniques such as Constrained Band Selection (CBS) and Similarity Based Band Selection (SBBS) using the spectral angle distance as a measure. Keywords: Hyperspectral images, Virtual Dimensionality, Simplex Growing Algorithm, Exemplar based band selection, Spectral angle distance.
Cloud computing applications in libraries
(S.K. Book Agency, 2014) Pattanaik, Bibhuti Bhusan.; Devendrappa, T.M.
In this article we have made an attempt to explain what is cloud computing and how libraries can make use of cloud computing technology and its services to build the library new services for web environment to reach the maximum number of end users. What is the need to move to cloud based services and how cloud computing based are effective serve the purposes of library are discussed.
Clustering based band selection for endmember extraction using simplex growing algorithm in hyperspectral images
(Springer, 2017-03) Veera SenthilKumar, G.; Vasuki, S.
With the advancement in technology, hyperspectral images have potential applications in the field of remote sensing due to their high spectral resolution. Despite the hyperspectral image providing abundant information, its analysis suffers from the problem of high dimensionality. Hence, Dimensionality Reduction (DR) is an essential task in all hyperspectral image analysis. Band Selection, which is one of the DR techniques, is still a challenging issue even though many algorithms have been developed. To provide remedy for this issue, this paper explores a novel approach for band selection using K-means clustering on statistical feature in hyperspectral images. The proposed method of clustering based band selection for DR is simple and accurate. A reliable estimate of number of bands to be selected is provided by Virtual Dimensionality (VD). Informative bands preserving maximum information are selected based on the statistical feature, the variance using K-means Clustering technique. Further, our proposed work involves the utilization of the effectiveness of Simplex Growing Algorithm (SGA) on endmember extraction in association with clustering based band selection. Using Fully Constrained Least Squares (FCLS) method, abundance fraction is estimated based on endmember signatures, which are derived using Endmember Extraction Algorithm (EEA). The proposed work is investigated and compared with that of N-FINDR and Vertex Component Analysis (VCA) algorithms. The performance of the proposed algorithm is evaluated using Root Mean Square Error (RMSE), Spectral Angle Distance (SAD) and computation time. Experimental results show that the proposed clustering based band selection with SGA endmember extraction algorithm reduces the average SAD by 8 to 10 % and the average RMSE by nearly 1 %, compared to that of N-FINDR and VCA algorithms. In terms of computation time, the proposed band selection based DR with SGA algorithm is seven times faster than conventional transform based DR with SGA algorithm
Data mining in library and information services
(Dayananda Sagar Institutions, 2014-01-10) Gopala, K; Devendrappa, T.M.
Data mining involves significant process of identifying the extraction of hidden predictive information from vast array of databases and it is an authoritative new technology with potentiality to facilitate the Libraries and Information Centers to focus on the most important information in their data warehouses. Library and information services in schools, colleges, universities, corporations and communities obtain information about their users, circulation history, resources in the collection, and search patterns.
Determination of absorption coefficients of different material
(IJRAR.ORG, 2023-05) Puranik, Sanjay M.; Erande, Aparna.
Linear and mass absorption coefficients and its related data for various soils have been determined using simple G.M. tube experiment. Strontium 90 continuous beta source is used for measurement of counts. Values are measured for aluminum absorber and then for soil samples. Among all soils, it is observed that Red soil absorbed maximum beta radiation.
Disater management in libraries
(PadmashreeNational Seminar cum Workshop on Trends & Challenges in LIS Education and Profession, 2017-03-25) Padmashree, Samavedam
Hybrid noise removal in color images using wavelet shrinkage approaches of PURE-LET and Neighshrink SURE
(2013-04) Karthikeyan, P.; Vasuki, S; Veera SenthilKumar, G.
Image denoising is an indispensable task where the complication of noise is prevalent and the contrast of low cost surveillance camera is more over low due to various image acquisitions. For the past two decades, denoising is performed by the Wavelet transform. The proposed work presents a novel approach of denoising by Poisson Unbiased Risk Estimate- Linear Expansion of Threshold (PURE-LET) and Neighshrink-Stein’s Unbiased Risk Estimate (SURE) for mixed Poisson and Gaussian noise. Finally the potential of the proposed approach through extensive comparisons with state-of-the-art techniques that are specifically tailored to the estimation of Poisson intensities are demonstrated. Neigh Shrink is an efficient image denoising algorithm based on the Discrete Wavelet Transform (DWT).The observed results reported here are in encouraging agreement.
Impact of new technology at Dayananda Sagar College of Engineering library
(Kuvempu University, 2020-03-13) Devendrappa, T.M.; Harish, C. K.; Prashantha, S.C.
Now a day libraries are no ware remaining as traditional libraries, these are changing from traditional to advanced modern libraries. The revaluation of computer technology and web technology brought great change in the field of library and information science. The role of library professionals also getting change compare to olden days, in this paper we are trying how new technologies like Web 2.0/Library 2.0, RFID, Automation, Institutional Repository Wi-Fi technology, digitization and digital libraries are helping library professionals to serve the user of Dayananda Sage College of Engineering and how our users are getting benefits from these technologies.
Issues and challenges in Indian academic libraries after COVID-19 period
(2020) Devendrappa, T.M.; Nageswara Rao, K. N; Mayuri, Naga Krishna A.; Jain, Rishabh Kumar
The purpose of writing of this book chapter is to create the awareness among the library professionals during period of covid-19 instant what all the changes happened in academic library environment, issues and challenges faced by library professionals. How the professionals are tackled the situation to came out from the issues and challenges to provide the library services for users community. How the library professionals shown the importance of library to academic institution and they make users to realize the importance of library in academic activities. The various new kinds of services and techniques brought in use by various library professionals examples are presented for future use for other professionals in India and across the world. In this article, some of the initiatives taken are observed for providing free information to general public usage by government and other non government organizations.
Knowledge Management: An overview, with special reference to JNU central library
(Dayananda Sagar Institutions, 2013-09-26) Devendrappa, T.M.; Kumara, B.
Because of the enormous development in the field of IT and digital printing, information production is increasing like anything, due to the above reason management of information and knowledge is became necessary. In this article we can see what is knowledge management its definitions, why should we apply knowledge management (KM) in University, Types of knowledge management (KM) systems, need of KM in academic environment that to in higher education institutions like Universities, Research and Development institutions. How best libraries can perform in gathering, managing, preserving of academic knowledge in university using knowledge management principles. How Central Library, Jawaharlal Nehru University (JNU) can helps in managing of university knowledge using Knowledge Management (KM) principles, steps taken for implementing the KM system in university.
Library services in higher education institutions: issues and challenges during and after covid-19 period
(Indian Journals, 2021-12-17) Rajanikanta, S.T.; Devendrappa, T.M.
The purpose of writing this article is to create the awareness among the library professionals regarding the functionality of higher educational institutional libraries who preferred to serve their users during the period of covid-19 pandemic and to discuss the issues and challenges they have faced while confronting the tough situation and new techniques they used to beat the pandemic situation and at the same time the role played by library staff of higher educational institutions while providing information for needy users, to avoid the transformation of coronavirus during the transaction of library physical information resources/materials, library services to their users and also the precautionary measures to be taken to provide the service to reader or users.
Mapping the bird flu research output: A bibliometric study
(ICLIM, 2017) Duraipandi, R.; Kamble, V.T; Devendrappa, T.M.
Bibliometrics is a method of study to analyze and measure the quantitative output of all branches of sciences and social sciences, which directly related with library and information science. Bird Flu is a severe, often fatal, type of influenza that affects birds, especially poultry, and that can also be transmitted to humans which indexed by Web of Science online database, indicates that the publication output in the global perspective. This study analyses the 669 records published by scientists on Bird Flu during 2000-2015(16 years). The highest numbers of papers were published during the year 2006 with 158 records with (23.6%) with top rank and followed the year 2005 with 101(15.1%) of publications ranked at second. Overall 1412 authors were contributed 334 publications in the journal and cited reference with 9710 records of the articles. The word wise distribution is 1783 records of in the bird flu research with the LCS 204; GCS 6589.
Maximin distance based band selection for endmember extraction in hyperspectral images using simplex growing algorithm
(Springer, 2017-03) Veera SenthilKumar, G.; Vasuki, S.
With the fast growing technologies in the field of remote sensing, hyperspectral image analysis has made a great breakthrough. It provides accurate and detailed information of objects in the image when compared to any other remotely sensed data. It is possible because of its high redundancy in nature. But this redundancy in hyperspectral images leads to high computational complexity in their analysis. Hence Dimensionality Reduction (DR) is a significant task in all hyperspectral image processing. DR can be achieved either by feature extraction or feature selection. Feature selection or Band selection is adopted in this paper because of no compromise in original data. Despite many algorithms that exist for band selection, this paper proposes a new concept of Maximin distance algorithm using Spectral Angle Distance (SAD) as distance measure for band selection. Virtual Dimensionality (VD) is used to provide the number of bands to be selected because it has been proved to be reliable estimate. Simplex Growing Algorithm (SGA) is deployed for endmember extraction in the experiment work. In order to evaluate the performance of the proposed band selection algorithm, the Spectral Angle Distance (SAD) and Spectral Similarity Value (SSV) are used as measures. The efficacy of our proposed algorithm has been proved from experimental results in comparison with Constrained Band Selection (CBS), Similarity Based Band Selection (SBBS), Clustering Based Band Selection (CBBS), Uniform Band Selection (UBS), Minimum Variance Principal Component Analysis (MVPCA) and Exemplar Component Analysis (ECA) and Firefly Algorithm Based Band Selection (FABBS).
Quarantine of library materials and library services during covid-19 period
(Indian Journals, 2021-09-18) Devendrappa, T.M.; Rajanikanta, S.T.
The purpose of writing this article is to create awareness among the library professionals during the period of covid-19 spread across the world. The need of information is very essential and this information played a major role in identifying the vaccine for Coronavirus also. Similarly, providing information for needy people in society is also necessary to avoid the transmission of Coronavirus during the transaction of library physical information resources/materials, library services to their users. What are the precautionary measures to be taken and how to quarantine the library materials which may be infected by reader or user. The process and procedure of quarantine of library materials and services, these issues have been discussed in this article.
Role of E-journals and E-books for higher education
(Dayananda Sagar Institutions, 2013-09-26) Devendrappa, T.M.; Gopala, K
This paper deals with importance of e-journals and e-books for higher education professional development. E-resources are to explore accumulate useful knowledge over and above faster copying, searching and to distributing for higher education. E-journals and e-books e-publishing has revolutionized the format of recorded knowledge. Libraries play a very important role in this fast changing e-environment of publishing. Their role includes identification of selection of information, its organization of management, storage retrieval and dissemination to right users at the right time at right place at right price and in right format. The goal of any academic libraries is to meet the teaching, research and other information needs of the user. The proliferation of the literature on all the subjects, price of journals hike in currency conversion rate and the budget crunch made the libraries depend upon each other. This leads to library co-operation, resource sharing and networks etc. At present the online databases, E-journals facilitate formation of the consortia at resource sharing among the libraries.
Role of storytelling in learning in the context of knowledge management system
(IIS, 2007) Surulinathi, M.; Chavan, S.B.; Devendrappa, T.M.
Humans are telling stories since ancient, and there is a resurgence of interest in the art among today’s organizational leaders. What is new is the purposeful use of narrative to achieve a practical outcome. This paper focuses on some leading concept like learning style, learning methods, learning tools in knowledge management system. Storytelling will become a key ingredient in managing communications, education, training, innovation and sharing knowledge in the digital learning environment. Storytelling is the act of telling a story in an entertaining, impressive or dramatic way. “Audience want an unexpected gift at an unexpected time”. Adding feeling or emotion is probably most important. How do we do it? Generally we remember the feeling of the event or imagine what our characters might be feeling and then adjust our 'delivery' accordingly. This articles focused on features of storytelling and how the software facilitate to telling the story.
Segmentation of color images using EM Cost with spatial refinement algorithm on MBWT Features
(IJCSET, 2011-03) Vasuki, S.; Veera SenthilKumar, G.; Ganesan, L.
This paper proposes a novel technique to segment the color images combining M-Band Wavelet transform(MBWT) and Expectation Maximization (EM) with cost spatial refinement algorithm. One of the drawbacks of standard wavelets is that they are not suitable for the analysis of high frequency signals with relatively narrow bandwidth. This drawback has been overcome using MBWT. Also M-band wavelet decomposition yields a large number of sub bands which is required for improving the performance accuracy. The proposed algorithm first decomposes the input image into sixteen subimages by applying MBWT. Then, median feature is computed for each subimage and maximum energy subimage is chosen as the appropriate feature space on which EM with cost spatial refinement algorithm is applied. This new combined algorithm produces very good segmentation results by taking advantage of M-Band Wavelet feature extraction and EM with cost spatial refinement algorithm. The segmentation result is more homogeneous and quite consistent with the visualized color distribution in the objects of the original images compared to Fuzzy C means and K means spatial refinement algorithms. Also EM with cost spatial refinement algorithm needs less computational time compared to other clustering algorithms.
Selection of reference management tools for creation and managing the references for academic purposes: A Comparative study
(SSARSC, 2016-07) Devendrappa, T.M.; Dhingra, Shweta.; Rigzin, Sonam.
With changing times the publishing industry has adopted various standards of reference, bibliographic standards in publishing the electronic content such as books, articles, theses and dissertation, websites, data, e-publications, videos, white papers and more. Managing of such references is becoming challenging day by day for users. To overcome this problem, many references management tools are available in IT environment to collate and manage citations and references to help the users, research scholars and faculty. However with the advent of reference management tool. It has been possible to correct format for citing references in research papers. It is also important to remember that scholars don't have to wed their self to any one tool as each has its pros and cons, and one can use different tools for different purpose. One can usually exchange references/citations between different tools quite easily, so if a researcher start using one tool and decide to move to a different tool, researcher can transfer all their references/citations and not have to go out and find them again. Following are the major reference management tools which discussed in this paper 1) Mendeley 2) Ref works 3) Bibliotext 4) Zotero and 5) Endnote. A comparative study has been done for available reference management tools which may help the users to decide which one is the appropriate and more user friendly for their research work. The paper studies the problem which occur while using the reference management tools and how to overcome those problem using alternative tools and converter etc.
Use and impact of E-Resources at Jawaharlal Nehru University: A case study
(Pearl, 2016-03) Awashthi, Shipra.; Devendrappa, T.M.; Rigzin, Sonam.
The Present paper explores the impact of e-resources among the students of Jawaharlal Nehru University (JNU), India. It also highlights the use of different online resources and software subscribed by central library