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Pawar, B. V.
- Experimental Analysis of Fingerprint Techniques: Variance and ROC
Abstract Views :450 |
PDF Views:141
Authors
Affiliations
1 Dept. of computer Engineering, K.C.E.S.C.O.E.I.T., Jalgoan-425 001, Maharashtra, IN
2 Dept. of Computer Science, N.M.U., Jalgoan-425 001, Maharashtra, IN
1 Dept. of computer Engineering, K.C.E.S.C.O.E.I.T., Jalgoan-425 001, Maharashtra, IN
2 Dept. of Computer Science, N.M.U., Jalgoan-425 001, Maharashtra, IN
Source
Indian Journal of Science and Technology, Vol 3, No 5 (2010), Pagination: 598-601Abstract
The objective of this paper is to analyze the fingerprint verification techniques by extracting the features of fingerprints and enhance the fingerprint using image processing techniques to improve the matching percentage. It aims to perform the analysis on the matching results as FAR and FRR. Observe the ROC receiver operating characteristic curves. The method results in more time robust matching and enhance the correlation values between two fingerprints. It is however equally important that the image enhancing process does not suppress distinct features since this would affect identification or verification process negatively leading to false mismatches or in worst case, to false matches. It is observed that enhancing the coherence in the fingerprint images the variance of FMR and FNMR is 0.000259&0.71 respectively.Keywords
Fingerprint, FMR, FNR, ROC, VarianceFull Text
References
- Espinosa-Duro V (2002) Minutiae detection algorithm for fingerprint recognition. IEEE AESM Magazine, New Delhi.
- Fingerprint Verification Competition. http://bias.csr.unibo.it/fvc2004.
- Jinwei Gu, Jie Zhou and Chunyu Yang (2006) Fingerprint recognition by combining global structure and local cues. IEEE Transact. Image Processing. 15, 7.
- Maltoni D, Maio D, Jain AK and Prabhakar S (2002) Handbook of fingerprint recognition. Springer- Verlag, NY. pp: 13-16.
- Mansfield AJ and Wayman JL (2002) Best practices in testing and reporting performance of biometric devices version 2.01. NPL Report CMSC 14/02, San Jose State Univ., pp: 3-5, 22-24.
- Rafael Gonzalez, Richard Woods and Steven Eddins (2007) Digital image processing using MATLAB. Pearson Education, New Delhi.
- Use of Information and Communication Technology in the Tourism Industry of Maharashtra and Goa States of India: a Survey.
Abstract Views :325 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science, North Maharashtra University, Jalgaon-425001.
2 Arts and Commerce College, Muktainagar, Dist. Jalgaon.
1 Department of Computer Science, North Maharashtra University, Jalgaon-425001.
2 Arts and Commerce College, Muktainagar, Dist. Jalgaon.
Source
International Journal of Hospitality and Tourism Systems, Vol 4, No 2 (2011), Pagination: 60-68Abstract
Tourism is an information intensive industry and Information and Communication Technology is a key driver for developing countries in organizing and marketing their tourism products. With the help of ICT applications, tourists can view information regarding a destination, book accommodation and reserve tickets for train, flight or other forms of transport and at the same time pay for all these without leaving their homes. To assess the use of ICT in the tourism industry in the Maharashtra and Goa states of India, over 250 tour operators, travel agencies, hotels etc. were surveyed. This paper presents the survey followed by a detailed analysis of the obtained results.Keywords
Tourism, Maharashtra, Goa, Survey, Information Communication Tools
References
- Gupta V., Gupta D.,(2008), "Adoption and the Use of ICT in Indian Tourism: Interventions for the top tourist destination of India, in the proceedings of Tourism in India – Challenges Ahead", 15-17 May 2008 IIMK.
- Porter M. (1985), "Technology and competitive advantage", Journal of business strategy, pp. 60-70.
- Porter M., (2001), "Strategy and the Internet", Harvard Business Review, (March 2001), Vol. 79 No. 3, pp. 63-78.
- Porter M and Miller V. (1985), "How information gives you a competitive advantage.", Harvard Business Review, 63(4) , pp. 149-160.
- Buhalis, D., (2000), "Tourism and Information Technologies: Past, Present and Future, Tourism Recreation Research", Volume 25 No.1, pp. 41-58.
- Sheldon P., Wober K., Fesenmaier D.(eds), (2001), "Information and Communication Technologies in Tourism", Springer, Vienna.
- A. Lockwood, S. Medlik, (2001), "Tourism and hospitality in the 21st century", ISBN 0-7506-5627-1, Butterworth-Heinemann, An imprint of Elsevier Science Burlington, 2001.
- K. K. Sharma, (2005), "Tourism and Development", Sarup & Sons, 2005, ISBN - 8176255548, 9788176255547.
- Mike Peters, Birgit Pikkemaat, (2005), "Innovation in Hospitality and Tourism", The Hawort Hospitality Press, Binghamton, New York, USA, 2005.
- Geoffrey Wall, Alister Mathieson, (2007), "Tourism: Changes, Impacts, And Opportunities", Prentice Hall, 2007.
- Danco Davcev, Jorge Marx Gomez, (2010), "ICT Innovations 2009", ISBN 978-3-642-10780-1, 2010 Springer –Verlag Berlin Heidelberg, 2009.
- Marianna Sigala, Luisa Mich, Jamie Murphy, (2007), “Information and communication technologies in tourism 2007”, ISBN 978-3-211-69564-7, Springer Wien NewYork, 2007.
- Peter O'Connor, Wolfram Höpken, Ulrike Gretzel, (2008), "Information and communication technologies in tourism", ISBN 978-3-211-77279-9, Springer Wien NewYork, 2008.
- Wolfram Höpken, Ulrike Gretzel, Rob Law,(2009), "Information and communication technologies in tourism 2009", ISBN 978-3-211-93970-3, Springer Wien NewYork, 2009.
- Ulrike Gretzel, Rob Law, Matthias Fuchs, (2010), "Information and communication technologies in tourism 2010", ISBN 978-3-211-99406-1, Springer Wien NewYork, 2010.
- Golding Paul, Donaldson Opal, Tennant Vanesa, Black Karlene (2008), "An Analysis of factors affecting the adoption of ICT by MSMES in rural and urban Jamaica", in the proceeding of European Conference on Information Systems 2008 (ECIS 2008), Galway, Ireland June 9-11, 2008.
- Lam Jolie, Lee Matthew K. O., Wong Y. C., Fung John Y. C., (2005), "A Digital Inclusive Society Study – Understanding The Social Impact Of Information Communication Technology (ICT) Usage In China", in proceeding of European Conference on Information Systems 2005 (ECIS 2005), Regensburg, Germany May 26-28, 2005.
- Jennifer Xiaoqiu Ma, Dimitrios Buhalis, Haiyan Song,(2003), "ICTs & Internet Adoption in China’s Tourism Industry", in the International Journal of Information Management, Vol. 23, No. 6., pp. 451- 467, December 2003.
- Dimitrios Buhalis, Peter O’Connor,(2005), "Information Communication Technology Revolutionizing Tourism", in the Journal of Tourism Recreation Research, Vol. 30(3), pp.7-16, 2005.
- Badnjevic J. and Padukova L., Master Thesis in Informatics (2006), “ICT Awareness in Small Enterprises in the Indian Tourism Branch”, IT University of Göteborg, Sweden.
- Creswell, J.W. (2008), "Educational research: Planning, conducting, and evaluating quantitative and qualitative research", (3rd). Upper Saddle River, NJ: Prentice Hall. 2008 ISBN: 10 0136135501 (pages 8-9).
- Halvorsen, Knut (1992). Samhällsvetenskaplig metod. Lund, Studentlitteratur.
- Buhalis D., Licata M.C., (June 2002), "The Future eTourism Intermediaries", Tourism Management, Volume 23, No. 3, pp. 207-220 (14).
- Shanker, D., (May 2008), "ICT and Tourism: Challenges and Opportunities, in the proceedings of Tourism in India – Challenges Ahead", IIMK, 15 -17 May 2008.
- A New ICT Based Business Model for Tourism Industry for the Maharashtra and Goa States of India
Abstract Views :451 |
PDF Views:0
Authors
Affiliations
1 Moolji Jaitha College, Jalgaon, Maharashtra, IN
2 School of Computer Sciences, North Maharashtra University, Jalgaon, Maharashtra, IN
3 School of Social Sciences, North Maharashtra University, Jalgaon, Maharashtra, IN
1 Moolji Jaitha College, Jalgaon, Maharashtra, IN
2 School of Computer Sciences, North Maharashtra University, Jalgaon, Maharashtra, IN
3 School of Social Sciences, North Maharashtra University, Jalgaon, Maharashtra, IN
Source
International Journal of Hospitality and Tourism Systems, Vol 8, No 1 (2015), Pagination: 64-69Abstract
Tourism is the act of travel for the purpose of recreation. It is an industry of moving, housing and entertaining people. It is one of the world's largest service industries and fastest growing economic sectors in terms of generating gross revenue as well as earning of foreign exchange. Nowadays the Internet and the developments in ICTs have revolutionized the entire tourism industry all over the world. It provides new tools and enables new distribution channels to create a new business environment. In order to increase the efficiency and effectiveness of transactions, to reduce the cost of transactions and to provide the one stop services to the customers, tourism market needs a new ICT based business model to grow tourism industry in the states of Maharashtra and Goa. In this paper we propose a new ICT based tourism business model that includes the modern tools of ICT which affects the tourism business as a whole.Keywords
Tourism, Maharashtra, Goa, Information Communication Tools, Business Model.References
- Buhalis, D. (1998). Strategic use of information technologies in the tourism industry. Tourism Management, 19(3), 409-423.
- Buhalis, D., & Maria, C. L. (2002). The Future e-Tourism intermediaries. International Journal of Tourism Management, 23(3), 207-220.
- Buhalis, D., & Peter, C. (2005). Information Communication Technology Revolutionizing Tourism. Journal of Tourism Recreation Research, 30(3), 7-16.
- Buhalis, D. (2003). E-Tourism: Information technology for strategic tourism management. Financial Times Prentice Hall.
- Chulwon, K. (2004). E-Tourism: An innovative approach for the Small and Medium-Sized Tourism Enterprises (SMTES) In Korea, OECD, 01-11
- Deepthi, S. (2008). ICT and Tourism: Challenges and Opportunities. Conference on Tourism in India – Challenges Ahed, IIMK, 50-58
- Elena, L. (2008). Information Technology and New Business Models in the Tourism Industry”, 8th Global Conference on Business & Economics, Florence, Italy, ISBN: 978-09742114-5-9, October 18-19th, 2008:01-13
- Jaehun, J. (2002). A business model and its development strategies for electronic tourism Markets. Information Systems Management, 19(3), 58 – 69.
- Mahadevan, B. (2000), “Business Models for Internet based E-Commerce an Anatomy”, California Management Review, Summer, 42(4), 55-69.
- Mahajan, K. B., & Pawar, B. V. (2001). On the use of Information Technology in Tourism”, in the Journal, Library Progress (International), 21(1-2), 25-28. ISSN No. – 0970-1052
- Mahajan, K. B., & Pawar, B. V. (2002). Information Technology in Tourism (E-Tourism), in the National Level Workshop on ‘Advances in Web Based Computing AWBC-2002’, Department of Computer Science, North Maharashtra University, Jalgaon, 9-10 Feb. 2002.
- Mahajan, K. B., Patil, A. S., Gupta R. H., & Pawar B. V. (2011). Use of Information and Communication Technology in the Tourism Industry of Maharashtra and Goa States of India: A Survey. International Journal of Hospitality and Tourism Systems, 4(2), 60-68. ISSN NO. 0947-6225
- Mahajan, K. B., & Pawar, B. V. (2001). E-Commerce in Tourism, in the National Conference on Microcomputers ‘COMMICRO 2001: Era of e-Revolution’, CSI Lucknow Chapter., 14-15 April 2001:45-50
- Manat, C. (2006). Policy and planning of tourism product development in Thailand: A proposed model. Asia Pacific Journal of Tourism Research, 11(1), 01-16
- Marianna, S. (2007). WEB 2.0 in the tourism industry: A new tourism generation and new e-business models. Travel Daily News. Retrieved from www.traveldailynews.com/ pages/show_page/20554.
- Mohammod, A. K., Kawsar, J., Md. Nasim, A., & Nargis, K. (2012). business model of e-tourism for developing countries. International Journal of Computer Science and Information Technology, 03(1), 30-34. ISSN 2078-5828,
- New Human Semen Analysis System (CASA) Using Microscopic Image Processing Techniques
Abstract Views :169 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Engineering, KCES's College of Engineering & Information Technology, IN
2 School of Computer Science, North Maharashtra University, IN
1 Department of Computer Engineering, KCES's College of Engineering & Information Technology, IN
2 School of Computer Science, North Maharashtra University, IN
Source
ICTACT Journal on Image and Video Processing, Vol 7, No 2 (2016), Pagination: 1381-1391Abstract
Computer assisted semen analysis (CASA) helps the pathologist or fertility specialist to evaluate the human semen. Detail analysis of spermatozoa like morphology and motility is very important in the process of intrauterine insemination (IUI) or In-vitro fertilization (IVF) in infertile couple. The main objective for this new semen analysis is to provide a low cost solution to the pathologist and gynecologist for the routine raw semen analysis, finding the concentration of the semen with dynamic background removal and classify the spermatozoa type (grade) according to the motility and structural abnormality as per the WHO criteria. In this paper a new system , computer assisted semen analysis system is proposed in which hybrid approach is used to identify the moving object, scan line algorithm is applied for confirmation of the objects having tails, so that we can count the actual number of spermatozoa. For removal of background initially the dynamic background generation algorithm is proposed to create a background for background subtraction stage. The standard data set is created with 40× and 100× magnification from the different raw semen s. For testing the efficiency of proposed algorithm, same frames are applied to the existing algorithm. Another module of the system is focused on finding the motility and Type classification of individual spermatozoa.Keywords
Semen Analysis, CASA, Microscope Image Processing, Spermatozoa, Region Based Segmentation, Hybrid Algorithm, WHO.- A New Intelligent Predictive Caching Algorithm for Internet Web Servers
Abstract Views :171 |
PDF Views:0
Authors
B. V. Pawar
1,
J. B. Patil
2
Affiliations
1 Department of Computer Science, North Maharashtra University, Jalgaon, IN
2 Department of Computer Engineering, R. C. Patel Institute of Technology, Shirpur, IN
1 Department of Computer Science, North Maharashtra University, Jalgaon, IN
2 Department of Computer Engineering, R. C. Patel Institute of Technology, Shirpur, IN
Source
Oriental Journal of Computer Science and Technology, Vol 3, No 2 (2010), Pagination: 283-290Abstract
Web caching is used to improve the performance of the Internet Web servers. Document caching is used to reduce the time it takes Web server to respond to client requests by keeping and reusing Web objects that are likely to be used in the near future in the main memory of the Web server, and by reducing the volume of data transfer between Web server and secondary storage. The heart of a caching system is its page replacement policy, which needs to make good replacement decisions when its cache is full and a new document needs to be stored. The latest and most popular replacement policies like GDSF and GDSF# use the file size, access frequency, and age in the decision process.
The effectiveness of any replacement policy can be evaluated using two metrics: hit ratio (HR) and byte hit ratio (BHR). There is always a trade-off between HR and BHR [1]. In this paper, using three different Web server logs, we use trace driven analysis to evaluate the effects of different replacement policies on the performance of a Web server. We propose a modification of GDSF# policy, IPGDSF#. Our simulation results show that our proposed replacement policy IPGDSF# performs better than several policies proposed in the literature in terms of hit rate as well as byte hit rate.
Keywords
Web Caching, Replacement Policy, Hit Ratio, Byte Hit Ratio, Trace-Driven Simulation.Full Text
- Bert and Indowordnet Collaborative Embedding for Enhanced Marathi Word Sense Disambiguation
Abstract Views :89 |
PDF Views:2
Authors
Affiliations
1 School of Computer Sciences, K.B.C. North Maharashtra University, IN
1 School of Computer Sciences, K.B.C. North Maharashtra University, IN
Source
ICTACT Journal on Soft Computing, Vol 13, No 2 (2023), Pagination: 2842-2849Abstract
Ambiguity in word meanings is a long-standing challenge in processing natural language. Word sense disambiguation (WSD) deals with this challenge. Prior neural language models make use of recurrent neural network and architecture with long short-term memory. These models process the words in sequence, are slower and not truly bi-directional, so they are not able to capture and represent the contextual meanings of the words, hence they are not competent in contextual semantic representation for WSD. Recent, Bi-Directional Encoder Representation from Transformers (BERT) is long short-term memory-based transformer model that is deeply bi-directional. It uses attention mechanisms, which process and use the relevance of the entire context at a time in both directions, so it is well suited to leverage the meanings in distributed representation for WSD. We have used BERT for obtaining contextual word embedding of context and sense gloss of Marathi language ambiguous word. For this purpose, we have used 282 moderately ambiguous Marathi words catering to 1004 senses distributed over 5282 Marathi sentences harvested by linguists from online Marathi websites. We have calculated semantic similarity between the pair of context and gloss embedding using Minkowski distance family and cosine similarity measures and assigned plausible sense to the given Marathi ambiguous word. Our empirical evaluation shows that the cosine similarity measure outperforms and yields an average disambiguation accuracy of 75.26% for the given Marathi sentence.Keywords
BERT, Distributional Semantics, Neural Language Modeling, Transfer Learning, Word Sense DisambiguationReferences
- E. Agirre and P. Edmonds, “Word Sense Disambiguation Algorithms and Applications”, Springer, 2007.
- S.S. Patil and B.V. Pawar, “Contrastive Study and Review of Word Sense Disambiguation Techniques”, International Journal on Emerging Technologies, Vol. 11, No. 4, pp. 96-103, 2020.
- S.S. Patil, R.P. Bhavsar and B.V. Pawar, “Path and Information Content based Structural Word Sense Disambiguation”, Proceedings Communications in Computer and Information Science, Vol. 1483, pp. 341-352, 2022.
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- F. Luo and Z. Sui, “Incorporating Glosses into NeuralWord Sense Disambiguation”, Proceedings of International Conference on Computational Linguistics, pp. 2473-2282, 2018.
- V. Hofmann and H. Schutze, “Dynamic Contextualized Word Embeddings”, Proceedings of International Conference on NLP, pp. 6970-6984, 2021.
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