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Ahmed, P.
- Naïve Bayes Classifier with LU Factorization for Recognition of Handwritten Odia Numerals
Abstract Views :293 |
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Authors
Affiliations
1 Apeejay Institute of Technology, Greater Noida, U.P, IN
2 Sharda University, Greater Noida, U.P, IN
1 Apeejay Institute of Technology, Greater Noida, U.P, IN
2 Sharda University, Greater Noida, U.P, IN
Source
Indian Journal of Science and Technology, Vol 7, No 1 (2014), Pagination: 35-38Abstract
We report the effectiveness of LU factorization (also called LU decomposition) as a technique for feature extraction along with naïve Bayes Classifier in recognizing handwritten Odia numerals (a regional language of north-eastern states of India derived from the Devanagari script). Experimental results show that LU factorization could be an alternative choice for feature extraction in pattern classification problems.Keywords
Handwritten Odia Numerals, LU Factorization, Naïve Bayes ClassifierReferences
- Pal U, Jayadevan R, Sharma N. Handwriting recognition in indian regional scripts: a survey of offline techniques. ACM Transactions on Asian Language Information Processing. 2012; 11(1):1–36.
- Sarangi PK, Ahmed P. Recognition of handwritten odia numerals using artificial intelligence techniques. Int J Comput Sci Appl. 2013; 2(2):41–48.
- Sarangi PK, Sahoo AK, Ahmed P. Recognition of Isolated handwritten numerals using hopfield neural network. Int J Comput Appl. 2012; 40(8):36–42.
- Pal U, Wakabayashi T, Sharma N, Kimura F. Handwritten numeral recognition of six popular Indian scripts. Proceed-ings of 9th ICDAR; 2007 Sept 23–26; Parana. p. 749–753.
- Roy K, Pal T, Pal U, Kimura F. Oriya handwritten numeral recognition system. Proceedings of ICDAR; 2005 29 Aug-1 Sept; 2:770–774.
- Bhowmik TK, Parui SK, Bhattacharya U, Shaw B. An HMM based recognition scheme for handwritten Oriya numerals.Proceedings of 9th ICIT; 2006 Dec 18–21; Bhubaneswar. 105–110.
- Zhang S, Gu M. improved text classification technique to acquire job opportunities for disabled persons. Computational Intelligence and Intelligent Systems, 5th International Symposium, ISICA, Wuhan, China; 2010. p. 280–287.
- Gutierrez-Osuna R. Introduction to pattern analysis [Lecture notes]. Wright State University; notes provided at lecture given 2000, Available from: research.cs.tamu.edu/prism/lectures/iss/iss_l9.pdf.
- Yang M. Matrix decomposition. Northwestern University. Evanston. [cited 2013 May 25]. Available from: http://users.eecs.northwestern.edu/~mya671/files/Matrix_YM_.pdf
- Academic Performance Evaluation Using Soft Computing Techniques
Abstract Views :284 |
PDF Views:93
Authors
Affiliations
1 Department of Computer Science and Engineering, SET, Sharda University, Greater Noida 201 306, IN
2 Department of MCA, Purvanchal University, Jaunpur 222 002, IN
1 Department of Computer Science and Engineering, SET, Sharda University, Greater Noida 201 306, IN
2 Department of MCA, Purvanchal University, Jaunpur 222 002, IN
Source
Current Science, Vol 106, No 11 (2014), Pagination: 1505-1517Abstract
This article presents a study of academic performance evaluation using soft computing techniques inspired by the successful application of K-means, fuzzy C-means (FCM), subtractive clustering (SC), hybrid subtractive clustering-fuzzy C-means (SC-FCM) and hybrid subtractive clustering-adaptive neuro fuzzy inference system (SC-ANFIS) methods for solving academic performance evaluation problems. Modelling of students' academic performance is a difficult optimization problem. We explore the applicability of K-means and FCM, SC, hybrid SC-FCM and SCANFIS clustering methods to the new student's allocation problem, which allocates new students into some classes that consist of similar students and the number of students in each class not exceeding its maximum capacity. The models were combined with fuzzy logic techniques to analyse the students' results. In this article, we have conducted clustering based computational experiments to analyse the effects of the different clustering algorithms like K-means, FCM, SC, hybrid SC-FCM and hybrid SC-ANFIS clustering methods for modelling students' academic performance evaluation. Based on the comparison of the results, it is found that the hybrid SC-ANFIS clustering is better than the other methods.Keywords
Academic Performance Evaluation, Clustering Algorithms, Fuzzy Logic, Soft Computing Techniques.- Indigenous Technological Knowledge (ITK) for Pest Management in Tinsukia District of Assam
Abstract Views :283 |
PDF Views:0
Authors
Affiliations
1 Krishi Vigyan Kendra (A.A.U.), Tinsukia (Assam), IN
1 Krishi Vigyan Kendra (A.A.U.), Tinsukia (Assam), IN
Source
Rashtriya Krishi (English), Vol 12, No 1 (2017), Pagination: 1-3Abstract
The present study describes the ITK of pest management practiced by the farmers of Tinsukia districts of Assam. The information was collected on the basis of personal interview to each of the farmer through a questionnaire. A total sample of 200 farmers of twenty different villages was selected randomly from three rural developmental blocks of the district. All in about 30 ITKs were collected and documented. The percentage of farmers practicing different ITKs ranged from 11 to 78.65 per cent. Identification of scientifically sound indigenous practices may serve as the input for valid scientific management for large scale use of insect pest management and in generation of low cost, location specific and appropriate technology.References
- Deka, M.K., Bhuyan, M. and Hazarika, L.K. (2006). Traditional pest management practices of Assam. Indian J. Traditional Knowledge, 5 (1): 75-78.
- Kolawole, O.D. (2001). Local knowledge utilization and sustainable rural development in the 21st century. Indigenous Knowledge Develop. Monitor., 9 (3): 13-15.
- Rajasekaran, B.D., Warren, D.M. and Babu, S.C. (1991). Indigenous natural resource management systems for sustainable agriculture development - A global perspective. J. Internat. Develop., 3 (4): 387-401.
- Venkata Ramaiah, P. and Rama Raju, K.V. (2004). Blending of Indigenous Technologies with judicious use of external inputs for sustainable agriculture paper Peoples Wisdom. Gosh, S.N (ed.). National Council of Development Communication, Sundarpur, Varanasi, pp. 249-253
- Field Studies on the Nature of Damage Caused by Sugarcane Plassey Borer Chilo tumidicostalis Hampson (Lepidoptera:Pyralidae)
Abstract Views :183 |
PDF Views:0
Authors
Affiliations
1 Krishi Vigyan Kendra (A.A.U.), Tinsukia (Assam), IN
2 Department of Entomology, Assam Agricultural University, Jorhat (Assam), IN
1 Krishi Vigyan Kendra (A.A.U.), Tinsukia (Assam), IN
2 Department of Entomology, Assam Agricultural University, Jorhat (Assam), IN
Source
International Journal of Plant Protection, Vol 11, No 1 (2018), Pagination: 76-79Abstract
Field experiment was conducted to investigate the nature of damage caused by sugarcane plassey borer C. tumidicostalis. Generally, there are two phases of infestation of the pests known as primary and secondary infestation. From the investigation, it was observed that the mean number of internodes damaged was more or less similar (1 to 3 internodes) in both the primary and secondary infestation. The mean number of damaged internode was 1.88, 2.06 and 2.42 which was slightly more in the secondary infested canes with 1.78, 2.56 and 2.74 in August, September and October, respectively. However, there was a great variation in the length of spindle damaged by the larvae in primary and secondary infested cane. Similarly, the mean length of internode damaged was more in primary infested canes than secondary infested canes. The mean proportion damaged length caused by the larvae in primary infested cane was 0.46, 0.45 and 0.41 during August, September and October as against 0.18, 0.13 and 0.16 in secondary infested cane, respectively.Keywords
Plassey Borer, Primary Infestation, Secondary Infestation, Spindle.References
- Anonymous (2014). Economic survey of Assam. Directorate of Economics and Statistics, Assam Planning and Development Department, Government of Assam. pp. 71.
- Bhuyan, U. (1999). Population dynamics of sugarcane plassey borer, Chilo tumidicostalis (Crambidae: Lepidoptera) and its rate of increase on some sugarcane cultivars. M.Sc. Thesis, Assam Agricultural University, Jorhat, Assam (India) .
- Box, H.E. (1953). List of sugarcane insects. Commonw Inst. Ent., London, United Kingdom, pp. 101.
- Butani, D.K. (1961). Insect pest of sugarcane in Bihar. Indian Sugar, 11: 649-54.
- Gupta, B.D. and Avasthy, P.N. (1959). Biology and control of stem borer. Chilo tumidicostalis Hmpsn. Proc. Int. Soc. Sug. Cane Technol.,10: 886-901.
- Khanna, K.L., Nigam, L.N. and Puri, V.D. (1957). Chilo tumidicostalis Hmpsn, serious stem borer pests of sugarcane in Bihar. Proc. Indian Acad. Sci., 46 (B) : 75-95.
- Phukan, E. (1978). Comparative resistance of certain sugarcane varieties to Ceratovacuna lanigera (Zehntner) (Aphididae: Homoptera) and effect of meteorological factors on the natural population build up of this pest. M.Sc. Thesis, Assam Agricultural University, Joraht, Assam (India).
- Rajmedhi, J. (1992). Biology of sugarcane plassey borer C. tumidicostalis Hmpsn (Pyralidae: Lepidoptera). M.Sc. Thesis, Assam Agricultural University, Jorhat, Assam (India).
- Integrated Pest Management in Potato with Special Reference to ITK
Abstract Views :222 |
PDF Views:1
Authors
Affiliations
1 District Agriculture Office, Tinsukia (Assam), IN
2 Krishi Vigyan Kendra (A.A.U.), Tinsukia (Assam), IN
1 District Agriculture Office, Tinsukia (Assam), IN
2 Krishi Vigyan Kendra (A.A.U.), Tinsukia (Assam), IN
Source
International Journal of Plant Protection, Vol 11, No 2 (2018), Pagination: 141-145Abstract
An experiment was conducted in the Horticultural orchard of Assam Agricultural University, Jorhat from 2014-15 and 2015-16 to develop IPM module against pest and diseases of potato. Ten different IPM modules were followed against the target pest and diseases. Out of these, the IPM module consisting of soil application of MOC followed by high ridge planting and use of yellow sticky trap followed by application of malathion 5 per cent dust and Ridomil MZ-72 @ 0.01% recorded lowest infestation of mole cricket and red ant with 3.42 and 7.71 per cent, respectively with a highest yield of 248.61 q/ha. Likewise, the per cent increase in yield and benefit cost ratio was observed highest (8.54) in the module with low incidence of late blight and leaf roll disease.Keywords
IPM, Mole Cricket, Red Ant, Malathion, Ridomil MZ-72.References
- Anonymous (2012). Reports. Directorate of Economics and Statistics, Government of Assam, India.
- Bajpai, N.K., Swami, Hemant, Kumar, Ashok and Gupta, I.N. (2005). Development of IPM modules for brinjal shoot and fruit borer, Leucinodes orbonalis Guene. National Conference on Applied Entomology: current status, challenges and opportunities. 2005, September 26-28pp.
- Butani, D. K. and Verma, S. (1976). Pest of vegetables and their control: sweet potato. Pesticides, 10 (2) : 36-38.
- Chakraborty, S., Chakraborty, N. and Datta, A. (2000). Increased nutritive value of transgenic potato by expressing a non-allergenic seed albumin gene from Amaranthus hypochondrioccus. Proceeding of National Academy of Science USA., 97 (7) : 3724–3729.
- Dash, C.K., Hassan, K., Pramanik, M.E.A., Rashid, M. H. and Choudhury, A.R. (2013). Development of management strategies against red ant (Dorylus orientalis, Westwood) of potato. Universal J. Plant Sci.,1 (3): 74-77.
- FAOSTAT (2015). faostat.fao.org.Retrieved 25 January 2015.
- Hudson, W. G. (1985).Other behaviour, damage and sampling. In T. J. Walker (ed.), Mole crickets in Florida. Florida Agric. Exp. Sta. Bull. 846: 16-21.
- Islam, M. N., Karim, M. A., Mannan, M. A., Choudhury, J. C. S. and Islam, M. (1999). Integrated management of the eggplant shoot and fruit borer, Leucinodes orbonalis Guenee (Lepidoptera: Pyralidae), based on insecticide. Bangladesh J. Entomol., 9 (1–2): 75–85.
- Konar, A., Paul,S.,Basu, A. and Chattri, M. (2005). Integrated management of mole cricket attacking potato in Eastern Gangclic plains of West Bengal. Potato J., 32: 3-4.
- Patnaik, H. P. and Singh, K. M. (1997). Efficacy of Bacillus thuringiensis Berliner and conventional insecticides against brinjal shoot and fruit borer under different spraying schedule. Orissa J. Hort., 25 (1): 18-21.
- Prabhat, K. and Johnsen, Steffen (2000). Life cycle studies on fruit and shoot borer, Leucinodes orbonalis and natural enemies of insect pest of eggplant (Solanum melongena). J. Appl. Biol., 10 (2) : 178-184.
- Ram, K., Misra, S. S. and Singh, L. (1993). Incidence of red ant. Dorylus orientalis on different genotypes. J. Indian Potato Assoc., 20 : 62.
- Sohi, A. S. (1966). Studies on the brinjal little leaf virus and its vector. M.Sc. Thesis, Punjab Agricultural University, Ludhiana, Punjab (India).
- Trivedi and Rajagopal, D. (1999). Integrated pest management in potato. IPM System in Agriculture, Cash Crops.,6:299 -313.