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Ravichandran, M.
- Robust Automated License Plate and Character Recognition
Abstract Views :135 |
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Authors
Affiliations
1 PSN College of Engineering and Technology, IN
1 PSN College of Engineering and Technology, IN
Source
Digital Image Processing, Vol 4, No 4 (2012), Pagination: 202-205Abstract
A robust approach for extracting car license plate from images with complex background and relatively poor quality is presented in this paper. The paper represents the automatic plate localization component of Car License Plate Recognition system and character recognition. The approach concerns stages of preprocessing, edge detection, filtering, detection of the plate's position, slope evaluation, and character segmentation and recognition. Single frame gray-level images are used as the only source of information. In the experiments all types of license plate were used, camera obtained at different daytime and whether conditions. The results derived have shown that the approach is robust to illumination, plate slope, scale, and is insensitive to plate's country peculiarities. The proposed paper provides character recognizer for the identification of the characters in the license plate. These results could be also usable for other applications in the input output transport systems, where automatic recognition of registration plates, shields, signs, etc., is often necessary.Keywords
License Plate, Edge Detection, Character Reorganization, Segmentation.
- Scope of Carbon Trade in Sago Industry
Abstract Views :90 |
PDF Views:0
Authors
Affiliations
1 Department of Economics, Sri Sarada College for Women, Salem-636 016, T. N., IN
2 Department of Environmental Management, Bharathidasan University, Tiruchirappalli-620 024, IN
1 Department of Economics, Sri Sarada College for Women, Salem-636 016, T. N., IN
2 Department of Environmental Management, Bharathidasan University, Tiruchirappalli-620 024, IN
Source
Nature Environment and Pollution Technology, Vol 10, No 1 (2011), Pagination: 141-144Abstract
Tapioca sago manufacturing is one of the chief food industries in the southeast Asia. The starch/sago industry is an agrobased seasonal industry using tapioca ischolar_mains/tubers as the basic raw material. The process of production of sago and starch from tapioca is water intensive. The waste from sago factories contains both water effluent and solid wastes. Cyanide concentration in the effluent is at alarming level, which requires an urgent attention for its removal. From the effluent of the sago industry many by-products such as methane, ethanol and alcohol can be produced. The methane gas generated and accumulated from sago effluent is being used by the industry for thermal and electrical applications. Global warming potential (GWP) of methane (CH4) is very high which is 21 times that of carbon dioxide. Accordingly, methane recovery from sago effluent serves good both in terms of reduction in power consumption sourced from fossil fuels and reduction in global warming potential. At this outset, this paper is aimed to explore the prospects of clean development mechanism in the matter of sago production.Keywords
Sago Industry, Carbon Trade, CDM, CERs.Full Text
- Level of Air Contaminants in Tiruchirappalli City in Central Tamil Nadu, India
Abstract Views :171 |
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Authors
Affiliations
1 Deptt. of Environmental Management, School of Environmental Sciences, Bharathidasan University, Tiruchirappalli-620 024, T. N., IN
1 Deptt. of Environmental Management, School of Environmental Sciences, Bharathidasan University, Tiruchirappalli-620 024, T. N., IN
Source
Nature Environment and Pollution Technology, Vol 8, No 3 (2009), Pagination: 519-521Abstract
Contribution of automobiles to air pollution is reported in the range of 40 to 80% of the total air pollution. The challenge facing cities is how to reduce the adverse environmental impacts and other negative effects of transportation without giving up the benefits of mobility. The dilemma becomes most pressing under conditions of rapid urban growth, which is likely to increase travel demand significantly. The growing number of automobiles in urban Tiruchirappalli poses a serious threat to its air environment. Ambient air quality in the city was monitored for concentration of SPM, SO2 and NOx at different traffic areas namely Central bus stand, Chattram bus stand, Puthur, Palakarai, Srirangam, Main guard gate, TVS toll gate and Old Paalpanne Circle.Keywords
Air Contaminants Vehicle, Emissions Motorised Traffic, Road Intersections.Full Text
- A Survey on Data Mining Approaches to Handle Agricultural Data
Abstract Views :219 |
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Authors
Affiliations
1 Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore, Tamilnadu, IN
1 Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore, Tamilnadu, IN
Source
Data Mining and Knowledge Engineering, Vol 8, No 9 (2016), Pagination: 286-290Abstract
Agriculture is the backbone of our country, where every activities and events in the agriculture depends on the area or locality. This variation creates huge number of data’s, and that to be maintained effectively. These uncertain and dynamic data’s are very tedious to maintain and to manipulate. To overcome the above issues, several studies introduced numerous techniques in data mining. This paper gives a survey about the data mining techniques and tools used in agriculture. The data mining techniques used in agriculture which includes clustering techniques such as K-Means, Fuzzy, KNN, and classification techniques such as Bayesian, Artificial Neural network, SVM and Decision Tree etc. This also makes discussion about the problems of those techniques in the real time analysis.
Keywords
Data Mining, Agricultural Data, Decision Tree, Classification, Clustering.- Effect of Organic and Inorganic Sources of Nutrients on Availability of Major and Micronutrients at Different Growth Stages of Groundnut (Arachis hypogaea L.) in Two Texturally Different Soils
Abstract Views :180 |
PDF Views:0
Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, Annamalai University, Annamalainagar, Chidambaram (T.N.), IN
1 Department of Soil Science and Agricultural Chemistry, Annamalai University, Annamalainagar, Chidambaram (T.N.), IN
Source
An Asian Journal of Soil Science, Vol 9, No 2 (2014), Pagination: 234-239Abstract
Field experiments were carried out in a farmer,s field at Chinnathanakuppam and Ayeekuppam villages, Cuddalore district during December, 2009 and March, 2010 to evaluate suitable organic and inorganic sources of nutrients on availability of major and micronutrients at different growth stages of groundnut. The experimental site at Chinnathanakuppam village belongs to Vadalapakkam series (Typic Rhodustalf) with sandy clay loam texture having pH- 7.8 and EC- 0.36 dSm-1. The soil was low in organic carbon (3.4 g kg-1), medium is in alkaline KMnO4-N (285 kg ha-1), low in olsen-P (11.0 kg ha-1)and medium in NH4OAC-K 190 kg ha-1. The experimental soil at Ayeekuppam village belongs to Vadupudupet series (Typic Haplustalf) with loamy sand in texture, having a pH - 8.1 and EC- 0.41dSm-1. The soil was low in OC (2.8 g ha-1), low in available nitrogen (230 kg ha-1) and P (9.0 kg ha-1) and medium in K (160 kg ha-1). The experiment was conducted with 16 treatments combinations. The treatments consisted of different levels of NPK viz., 100 per cent, 75 per cent and 50 per cent RDF and different sources of nutrients viz., farmyard manure @ 12.5 t ha-1, fly ash @ 10 t ha-1 and humic acid @ 20 kg ha-1 along with micronutrients boron @ 10 kg ha-1 and zinc sulphate @ 25 kg ha-1. The experiment was laid out in Randomized Block Design with three replications and tested with groundnut crop variety JL-11. The results reveled that the combined application of 100 per cent RDF + FYM significantly increased soil availability of nitrogen, phosphorus and potassium at all stages of crop growth in both soils. Among micronutrient treatments, 100 per cent RDF+ZnSO4+FYM recorded maximum DTPA extractable zinc and 100 per cent RDF+Boron+FYM treatment registered maximum hot water soluble boron in both sandy clay loam and loamy sand soils at flowering, peg formation and harvest stages, respectively.Keywords
Major and Micronutrients Availability, Texturally Different Soils, Different Growth Stages, Ground Nut Crop.- Influence of Organic and Inorganic Sources of Nutrients on the Nutrient Uptake and Yield of Groundnut (Arachis hypogaea L.) in Two Texturally Different Soils
Abstract Views :156 |
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Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, Annamalai University, Annamalai Nagar, Chidambaram (T.N.), IN
1 Department of Soil Science and Agricultural Chemistry, Annamalai University, Annamalai Nagar, Chidambaram (T.N.), IN
Source
An Asian Journal of Soil Science, Vol 9, No 2 (2014), Pagination: 271-275Abstract
Field experiments were carried out in a farmers field at Chinnathanakuppam and Ayeekuppam villages, Cuddalore district during December, 2008 and March, 2009 to evaluate suitable organic and inorganic sources of nutrients to groundnut crop. The experimental soil at Chinnathanakuppam village belongs to Vadalapakkam series (Typic rhodustalf) with sandy clay loam texture having pH-7.8 and EC-0.36 dS m-1. The soil was low in organic carbon (3.4 g kg-1), medium in alkaline KMnO4-N (285 kg ha-1), low in Olsen-P (11.0 kg ha-1) and medium in NH4OAC-K (190 kg ha-1). The experimental soil at Ayeekuppam village belongs to Vadapudupet series (Typic haplustalf) with loamy sand in texture, having a pH-8.1 and EC-0.41 dSm-1. The soil was low in OC (2.8 g kg-1), low in available N (230 kg ha-1) and P (9.0 kg ha-1) and medium in available K (160 kg ha-1). The experiment was conducted with 16 treatment combinations. The treatments consisted of different levels of NPK viz., 100 per cent, 75 per cent and 50 per cent RDF and different sources of nutrients viz., farm yard manure @ 12.5 t ha-1, fly ash @ 10 t ha-1 and humic acid @ 20 kg ha-1 along with micronutrients boron @ 10 kg ha-1 and zinc sulphate @ 25 kg ha-1. The experiments was laid out in Randomized Block Design with three replications and tested with groundnut crop variety JL-11. The results indicated that application of 100 per cent RDF + FYM + ZnSO4+ boron (T8) recorded the highest pod and haulm yields of 2853 and 4573 kg ha-1 in sandy clay loam soil and 2415 and 3578 kg ha-1 in loamy sand soil, respectively. Among the sources tried, FYM was superior in the performance of yield. Similarly in major nutrients uptake, treatment T8 showed significant variation with remaining treatments.Keywords
Organics, Inorganics, Micronutrients, Groundnut Crop, Texturally Different Soils, Yield.- Observed Warming of Sea Surface Temperature in Response to Tropical Cyclone Thane in the Bay of Bengal
Abstract Views :317 |
PDF Views:97
Authors
Affiliations
1 National Institute of Ocean Technology, Pallikaranai P.O., Chennai 600 100, IN
2 Anna University, Guindy Campus, Chennai 600 025, IN
3 International CLIVAR Monsoon Project Office, Indian Institute of Tropical Meteorology, Pashan Road, Pune 411 008, IN
4 National Centre for Antarctic and Ocean Research, Headland Sada, Vasco-da-Gamma, Goa 403 804, IN
1 National Institute of Ocean Technology, Pallikaranai P.O., Chennai 600 100, IN
2 Anna University, Guindy Campus, Chennai 600 025, IN
3 International CLIVAR Monsoon Project Office, Indian Institute of Tropical Meteorology, Pashan Road, Pune 411 008, IN
4 National Centre for Antarctic and Ocean Research, Headland Sada, Vasco-da-Gamma, Goa 403 804, IN
Source
Current Science, Vol 114, No 07 (2018), Pagination: 1407-1413Abstract
An unusual near-surface warming was seen in observations from a moored buoy BD11 at 14°N/83°E, and a nearby Argo profiling float in the Bay of Bengal, during the passage of tropical cyclone Thane, during 25–31 December 2011. The cyclone induced a warming of sea surface temperature (SST) by 0.6°C to the right of the track. Heat budget analysis based on moored observations and satellite data rules out the role of horizontal advection and net heat flux in warming the surface layer. We find that vertical mixing/entrainment in response to the cyclone, in conjunction with a pre-storm temperature inversion (subsurface ocean warmer than SST) led to the observed warming. Pre-storm and post-storm salinity and temperature profiles from an Argo float close to the mooring BD11 have higher vertical resolution than the moored data; they suggest vertical mixing of the upper 70 m of the water column. The moored observations show that the thermal inversion, erased by storm-induced mixing, reappears in a few days.Keywords
Bay of Bengal, Cyclone, OMNI Buoy, SST.Full Text
References
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- A Multi-View Clustering Trust Inference Approach Using Gray Affinity Model
Abstract Views :334 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Science, Theivanai Ammal College for Women, Villupuram, Tamilnadu, IN
1 Department of Computer Science, Theivanai Ammal College for Women, Villupuram, Tamilnadu, IN
Source
Fuzzy Systems, Vol 10, No 6 (2018), Pagination: 157-164Abstract
In recent years, Multi-view Affinity Propagation (MAP) methods are important and widely accepted techniques which measure the within-view clustering and clustering consistency across different view. However, these systems suffer from several inherent shortcomings such as similarity and correlation between clusters. With the development of recommender systems, trust and similarity measured introduced as a new approach to overcome the problem. But these approaches suffer from relatively low accuracy and especially coverage too due to avoidance of implicit trust. Therefore to address these problems, in this paper we propose a framework called, Multi-View Clustering based on GrayAffinity (MVC-GA)by integrating both similarity and implicit trust. Firstly, similarity between two clusters is obtained by applying Pearson Correlation Coefficient-based Similarity. Then, it utilizes the Collaborative Filter-based Trust evaluation for each clustered view in terms of the similarity based on Gray Affinity NN algorithm. Classification of incomplete occurrences is addressed based on Gray Affinity Function. Experiments on the benchmark data sets have been performed to validate the proposed framework. The experimental results on this data sets show that MVC-GA can effectively improve both the multi-view clustering accuracy and coverage. The promising results demonstrate the effectiveness of our framework.
Keywords
Multi-View Affinity Propagation, Gray Affinity, Pearson Correlation, Collaborative Filter, Trust Evaluation.References
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- Analysing K-Nearest Neighbor technique for Classification of Agricultural land Soils
Abstract Views :162 |
PDF Views:1
Authors
R. Beulah
1,
M. Ravichandran
2
Affiliations
1 Department of Computer Science, Sri Ramakirishna Mission Vidyalaya, Coimbatore, TamilNadu, IN
2 Department of Computer Science, Sri Ramakirishna Mission Vidyalaya, Coimbatore, TamilNadu, IN
1 Department of Computer Science, Sri Ramakirishna Mission Vidyalaya, Coimbatore, TamilNadu, IN
2 Department of Computer Science, Sri Ramakirishna Mission Vidyalaya, Coimbatore, TamilNadu, IN
Source
Fuzzy Systems, Vol 12, No 1 (2020), Pagination: 1-4Abstract
Soil is a significant input aspect of cultivation. The main intention of the effort work is to predict soil type using data mining classification techniques. Soil kind is predicted using data mining classification techniques such as KNN. This classifier algorithm is functional to take out the knowledge from soil data and the soil types. In this paper, Data Mining and agricultural Data Mining are epigrammatic. The KNN model can produce more reliable results of this data and the RMSE, RSquared, MAE values. For solute the problems in Big Data, proficient methods can be formed that exploit Data Mining to develop the meticulousness of classification of huge top soil data sets.