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Singh, Sukhwinder
- E-Resources for Indian Universities: New Initiatives
Abstract Views :223 |
PDF Views:7
Authors
Affiliations
1 Panjab University Library, Chandigarh 160014, IN
1 Panjab University Library, Chandigarh 160014, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 42, No 1 (2005), Pagination: 57-73Abstract
Academic Libraries in India are facing the problem of shrinking/static budgets and simultaneous exponential rise in journal prices. The need of the hour is to find a pragmatic solution to this problem. Something substantial has to be done in order to facilitate access to scholarly resources to research scholars and faculties. UGC-INFONET and INDEST- Consortium are two major initiatives that have come to the rescue of academic libraries so that they can cater to the needs of academia depending upon them. These revolutionary steps are providing scholarly resources including peer reviewed journals, databases, abstracts, proceedings, etc. These efforts will definitely boost the higher education system in our country.Keywords
UGC-INFONET, INDEST-Consortium, E-Resources.
References
- UGC-Infonet [a network for Indian Universities]: user guidelines. New Delhi: ERNET, 2003, p1-100.
- Arora (Jagdish); Rai (A K). Using Electronic Resources: a Compendium for INDEST Member Institutions. New Delhi: INDEST Consortium IIT Delhi, 2004, p1-93, I-xxii.
- http://web.inflibnet.ac.in/info/ugcinfonet/ugcinfonet.jsp
- http://pubs.acs.org/about_category.html
- http://www.biosis.org/products_services/ba.html
- http://www.iop.org/EJ/
- http://muse.jhu.edu/journals/
- http://www.rsc.org/is/journals/j1.htm
- http://journals.cambridge.org/
- http://npg.nature.com/
- http://www.aip.org
- http://www.aps.org
- http://www.library.iitb.ac.in/indest/index.html
- http://www.ugc.ac.in/newsletter_oct/14.htm
- http://www.sciencemag.org/
- http://search.eb.com/
- http://arjournals.annualreviews.org/
- http://www.jstor.org/
- A New Concept to Filter the Salt and Pepper Noise from Grey Scale Images
Abstract Views :194 |
PDF Views:2
Authors
Affiliations
1 PEC University of Technology, Chandigarh, IN
2 E & EC Department, PEC University of Technology, Chandigarh, IN
1 PEC University of Technology, Chandigarh, IN
2 E & EC Department, PEC University of Technology, Chandigarh, IN
Source
Digital Image Processing, Vol 4, No 6 (2012), Pagination: 308-312Abstract
Recent research in image processing has been strongly influenced by new developments in de noising techniques. Salt-and-pepper impulse noise is one commonly encountered noise type during image and video communication. Various methods have been implemented for the removal of this type of noise. This paper presents a new approach which first detects the noisy pixels using the binary flag image and then replaces only those pixels which are corrupted and the good pixels kept untouched. It is indicated that this method outperformed several existing methods in both visual image quality and restored signal quantity and gives high PSNR & IEF.Keywords
Salt & Pepper Noise, Switching Median Filter, Decision Based Median Filter.- An Enhanced Edge Detection Algorithm for 2-D Images
Abstract Views :134 |
PDF Views:2
Authors
Affiliations
1 PEC University of Technology, Chandigarh, IN
2 Electronics and Electrical Department, PEC University of Technology, Chandigarh, IN
1 PEC University of Technology, Chandigarh, IN
2 Electronics and Electrical Department, PEC University of Technology, Chandigarh, IN
Source
Digital Image Processing, Vol 2, No 2 (2010), Pagination: 39-47Abstract
In gray-level image processing, images of typical scenes contain large areas of gradual intensity change, called segments, bounded by narrow regions of very rapid intensity change, called edges. An edge detector is a procedure or rule that locates a series of points, arranged roughly in a line, where rapid intensity changes have occurred. Edge detection is a problem of fundamental importance in image analysis and is a terminology in image processing and computer vision, particularly in the areas of feature detection and feature extraction. Many different forms of edge detectors have been developed in image processing, including Sobel, Robert, LOG (laplacian of Gaussian), Prewitt, Canny, Mathematical Morphology and Multi-Structure Elements Mathematical Morphology. In this paper all the various edge detection algorithms are discussed and in addition to that, Top-hat and bottom-hat transformation are used for enhancing the image contrast and reduces noise as well.Keywords
Bottom-Hat Transformation, Edge Detection, Image Processing, Operators, Top-Hat Transformation.- Post-Processing Method for Reducing Blocking Artifacts Using a Deblocking Filter
Abstract Views :142 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Science and Engineering, D.A.V. Institute of Engineering and Technology, Jalandhar, IN
2 Department of Electronics and Communication Engineering, D.A.V. Institute of Engineering and Technology, Jalandhar, IN
3 Department of Instrumentation and Control at Dr. B.R. Ambedkar NIT, Jalandhar, IN
4 Department of Computer Science and Engineering at U.I.E.T., Chandigarh, IN
1 Department of Computer Science and Engineering, D.A.V. Institute of Engineering and Technology, Jalandhar, IN
2 Department of Electronics and Communication Engineering, D.A.V. Institute of Engineering and Technology, Jalandhar, IN
3 Department of Instrumentation and Control at Dr. B.R. Ambedkar NIT, Jalandhar, IN
4 Department of Computer Science and Engineering at U.I.E.T., Chandigarh, IN
Source
Digital Image Processing, Vol 1, No 5 (2009), Pagination: 201-212Abstract
A major drawback of block discrete cosine transform-based compressed image is the appearance of visible discontinuities along block boundaries in low bit-rate coding, which are commonly referred as blocking artifacts. In this paper, a post-processing method based on three separate nfiltering modes is proposed for removing these discontinuities. The method consists of three stages: in the first, better estimates of the activity across block boundary for region classification. In the second, based on region classification appropriate filtering mode is applied to the image blocks. In the third, evaluate the performance of the proposed method using performance metric- Peak Signal-to-Noise Ratio. Experiments shows that the proposed method gives better performance in terms of PSNR (Peak Signal-to-Noise Ratio) and excellent results compared with other approaches.
Keywords
Blocking Effect, Deblocking Filter, DCT, PSNR.- Field Evaluation of Productivity of Gobhi Sarson (Brassica napus) under Cluster Frontline Demonstrations in Faridkot District of South-Western Punjab
Abstract Views :376 |
PDF Views:0
Authors
Affiliations
1 Punjab Agricultural University, Krishi Vigyan Kendra, Faridkot (Punjab), IN
1 Punjab Agricultural University, Krishi Vigyan Kendra, Faridkot (Punjab), IN
Source
International Journal of Agricultural Sciences, Vol 16, No 2 (2020), Pagination: 227-231Abstract
One hundred fifty three front line demonstrations (FLDs) were conducted on farmers’ fields to demonstrate the effect of improved technologies on the productivity of canola type gobhi sarson var. GSC-7 using cluster approach in district Faridkot of Punjab during Rabi 2016-17 and 2017-18. The productivity of gobhi sarson under demonstration plots ranged between 19.2 to 20.4 q and 19.9 to 20.8 q/ha, respectively, for year 2016-17 and 2017-18, whereas, under farmers’ practice, the productivity varied from 14.1 to 14.2 q and 16.6 to 17.1 q/ha for the respective years. The maximum value of extension gap to the tune of 5.10 q/ha was recorded in cluster IV followed by cluster III and V (4.75 q/ha), cluster II (4.65 q/ha) and the least was in cluster I (4.10 q/ha). The technology gap in the demonstration plots over potential yield was the lowest i.e. 1.80 q/ha in cluster IV, whereas, the highest technology gap was recorded in cluster I (2.70q/ha). The technology index was 8.09 per cent for cluster IV and the highest (12.13%) for cluster I while the mean technology index was 9.48 per cent. The value of net returns per ha under demonstration plots was Rs. 71594 and Rs. 72170, whereas, farmers’ practice gave net returns per ha of Rs. 40626 and Rs. 52626 for the year 2016- 17 and 2017-18, respectively. The benefit: Cost ratio varied between 3.76 to 4.05 for 2016-17 and 3.73 to 4.04 for 2017-18 under demonstration plots while the value of same under farmers’ practice varied between 2.46 to 2.55 and 2.80 to 2.93, respectively, for year 2016-17 and 2017-18.Keywords
Front Line Demonstration, Canola Gobhi Sarson, Economic Evaluation.References
- Anonymous (2015). Department of agriculture and cooperation, Directorate of Economics and Statistics, Ministry of Agriculture and farmer welfare, GOI.
- Anuj, K. Singh, K.C. Singh, Y.P. and Singh, D.K. (2014). Impact of frontline demonstration on adoption of improved practices of oilseed crops. Indian Res. J. Extn. Edu., 14 (3):75-77.
- Balai, C.M., Meena, R.P., Meena, B.L. and Bairwa, R.K. (2012). Impact of front line demonstration on rapeseed-mustard yield improvement. Indian Res. J. Extn. Edu., 12(2): 115.
- Chaudhary, B.N. (1999). Krishi Vigyan Kendra-Guide for KVK managers. Publication, Division of Agril. Extn., ICAR, 73-78pp.
- Choudhary, A.K., Yadav, D.S. and Singh, A. (2009). Technological extension yield gaps in oilseeds in Mandi district of Himachal Pradesh. Indian J. Soil Conserv., 37 (3): 224-229.
- Hiremath, S.M. and Nagaraju, M.V. (2010). Evaluation of on farm front line demonstrations on the yield of chilli. Karnataka J. Agric. Sci., 23 (2) : 341-342.
- Imoloame, E.O., Gworgwor, N.A. and Joshua, S.D. (2007). Sesame (Sesamum indicum L.) weed infestation, yield and yield components as influenced by sowing method and seed rate in a Sudan Savanna agro-ecology of Nigeria. African J.Agric. Res., 2 (10) : 528-533.
- Jeengar, K.L., Panwar, P. and Pareek, O.P. (2006). Front line demonstration on maize in Bhilwara district of Rajsthan. Curr.Agric., 30 (1/2) : 115-116.
- Kapila, Shekhawat, Rathore, S. S., Premi, O. P., Kandpal, B.K. and Chauhan, J.S. (2012). Advances in agronomic management of Indian mustard [Brassica juncea (L.) Czernj. Cosson] : An overview. Internat. J. Agronomy, 2012 : 1-14 .
- Kumar, A. (2017). Oilseed technologies towards selfsufficiency in changing climate scenario. In: Proc 3rd Nat. Brassica conf 16-18 Feb, 2017, ICAR-IARI, New Delhi, India, 2-12pp.
- Mukherjee, N. (2003). Participatory, learning and action. Concept, Publishing Company, New Delhi, India.
- Panday, I.D., Singh, B. and Sachan, J.N. (1999). Brassica hybrid research in India: status and prospects. Proceedings of the tenth international rape seed congress. Canberra, Australia.
- Prasad, R., Sharma, A., Sood, R. and Kumari, V. (2018). Relative efficacy of natural resource use in gobhi sarson (Brassica napus) in Himachal Pradesh, India. J. Oilseed Brassica, 9 (1) : 27 - 32.
- Samui, S.K., Maitra, S., Roy, D.K., Mandal, A.K. and Saha, D. (2000). Evaluation of front line demonstration on groundnut. J. Indian Soc. Coastal Agric. Res., 18: 180-183.
- Economic Evaluation of Cluster Front Line Demonstrations on Chickpea (Cicer arietinum L.) in Faridkot District of South Western Punjab
Abstract Views :340 |
PDF Views:0
Authors
Affiliations
1 Punjab Agricultural University, Krishi Vigyan Kendra, Faridkot (Punjab), IN
1 Punjab Agricultural University, Krishi Vigyan Kendra, Faridkot (Punjab), IN
Source
International Journal of Agricultural Sciences, Vol 16, No 2 (2020), Pagination: 254-259Abstract
A study was conducted in South Western Punjab (India) during 2016-18 to assess the economic performance of clusterwise front line demonstration on chickpea (var PBG-7). One hundred ninety five front line demonstrations (FLDs) were conducted at farmers’ fields to demonstrate the effect of improved technologies on the productivity of chickpea using cluster village approach in Faridkot district of Punjab duringRabi 2016-17 and 2017-18. The productivity of chickpea under demonstration plots ranged between 11.9 to 13.2 q and 12.2 to 14.1 q/ha during year 2016-17 and 2017-18, respectively, whereas, under farmers’ practice the productivity varied from 9.5 to 10.7 q and 9.0 to 11.2 q/ha for respective years. The extension gap in the demonstration plots over potential yield was the lowest i.e., 1.8 q/ha in cluster I, whereas, the highest extension gap was recorded in cluster II (3.35q/ha) while the average extension gap over all the clusters was 2.57q/ha. The highest value of technology gap of 7.95 q/ha was recorded in cluster I, however, the least value was recorded in cluster IV (6.35) with the average technology gap of 7.10 q/ha over all the clusters. The technology index (%) was 31.75 for cluster IV, 33.50 for V, 35.5 for III, 37.0 for II and the highest, 39.75 per cent for cluster I, while, the mean technology index was 35.5 per cent. The value of net returns per ha under demonstration plots was Rs. 23550 and Rs. 26310, whereas, farmers practice gave net returns of Rs.14110 and Rs.14180 per ha, respectively, for the years 2016-17 and 2017-18. The benefit : cost ratio ranged from 1.80 to 2.00 for 2016-17 and 1.81 to 2.10 for 2017-18 under demonstration plots while the value of same varied between 1.42 to 1.59 and 1.31 to 1.63 under farmers’ practice for year 2016-17 and 2017-18, respectively.Keywords
Cluster Front Line Demonstrations, Chickpea, Productivity, Economic Evaluation.References
- Balai, C.M., Meena, R.P., Meena, B.L. and Biarwa, R.K. (2012). Impact of front line demonstrations on rapeseed and mustard yield improvement. Indian Res. J. Extn. Edu., 12(2) :113-116.
- Balai, Kuldeep, Jajoria, M., Verma, R., Deewan, P. and Bairwa, S.K. (2017). Nutrient content, uptake, quality of chickpea and fertility status of soil as influenced by fertilization of phosphorus and zinc. J. Pharmacognosy & Phytochemistry, 6 (1) : 392-398.
- Choudhary, A.K.,Yadav, D.S. and Singh, Amar (2009). Technological and extension yield gaps in oil seeds in Mandi districtof Himachal Pradesh. Indian J. Soil Cons., 37(3):224-229.
- Choudhary, B.N. (1999). Krishi Vigyan Kendra– A guide for KVK managers. Division of Agricultural Extension, ICAR, New Delhi, India, pp. 73-78.
- Dhakad, S.S., Asati, K.P., Chouhan, S.S., Badaya, A.K., Kirar, K.S. and Ambawatia, G.R. (2018). Impact of front line demonstration on the yield and economics of chickpea (Cicer arietinum L.) in tribal area of Madhya Pradesh, India. Internat. J. Curr. Microbiol. App. Sci.,7(5): 3662-3666.
- Egamberdieva, D., Shurigin, V., Gopalakrishnan, S. and Sharma R. (2014). Growth and symbiotic performance of chickpea (Cicer arietinum) cultivars under saline soil conditions. J. Biological & Chemical Research, 31(1): 333-341.
- Fatima, Z., Bano, A., Sial, R. and Aslam, M. (2008).Response of chickpea to plant growth regulators on nitrogen fixation and yield. Pakistan J. Botany, 40 (5): 2005-2013.
- Hiremath, S.M. and Nagaraju, M.V. (2010).Evaluation of onfarm front line demonstrations on the yield of chilli. Karnataka J. Agric. Sci., 23 (2): 341-342.
- Jeengar, K.L., Panwar, P. and Pareek, O.P. (2006). Front line demonstration on maize in Bhilwara district of Rajsthan. Curr. Agric., 30 (1/2):115-116.
- Khaitov, Botir, Akhmad, Kurbonov, Anvar, Abdiev and Maksud, Adilov (2016). Effect of chickpea in association with Rhizobium to crop productivity and soil fertility. Eurasian J. Soil Sci., 5 (2) : 105 - 112.
- Khoja, J.R., Khangarot, S.S., Gupta, A.K. and Kulhari, A.K. (2002). Effect of fertility and biofertilizers in growth and yield of chickpea. Ann. Pl. Soil Res., 4(2) : 357-358.
- Kirar, B.S., Narshine, R., Gupta, A.K. and Mukherji, S.C. (2006). Demonstration: An effective tool for increasing the productivity of Urd. Ind.Res.J. Extn. Edu., 6(3):47-48.
- Mokidue, I., Mohanty, A.K. and Sanjay, K. (2011).Correlating growth, yield and adoption of urd bean technologies. Indian J. Extn. Edu., 11 (2): 20-24.
- Poonia, T.C. and Pithia, M.S. (2011). Impact of front line demonstrations of chickpea in Gujarat. Legume Res., 34(4): 304-307.
- Raj, A.D., Yadav, V. and Rathod, J.H. (2013). Impact of front line demonstration (FLD) on the yield of pulses. Internat. J. Scient. & Res. Public., 3 (9):1-4.
- Reddy, A.A. (2010). Regional disparities in food habits and nutritional intake in Andhra Pradesh, India. Regional & Sectoral Economic Studies, 10 (2) : 125-134 .
- Samui, S.K., Maitra, S., Roy, D.K., Mondal, A.K. and Saha, D. (2000). Evaluation of front line demonstration on groundnut (Arachis hypogea L.). J. Indian Soc. Coastal Agric. Res., 18: 180-183.
- Singh, A.K., Manibhushan, Bhatt B.P., Singh, K.M. and Upadjaya, A. (2013). An analysis of oil seeds and Pulses scenario in Eastern India during 2050-51. J. Agril Sci., 5 (1) : 241-249.
- Singh, A.K., Singh, S.S., Ved Prakash, Kumar and Dwivedi, S.K. (2015). Pulses production in India: Present status, Bottlenecks and Way Forward. J. Agrisearch, 2(2):75-83.
- Singh, Beena, Singh, Y.K. and Panigarhi, T.K. (2014).Extent of adoption of recommended practices of pulses through FLD. IOSR J. Agric. & Veterinary Sci.,7 (12) :71-72 .
- Singh, Dharminder, Singh, K.B., Gill, N.S. and Grewal, I.S. (2017). Impact analysis of frontline demonstrations on pulses in Punjab. Internat. J.Farm Sci., 7(1): 190-194.