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Thakur, G. S.
- Bhimkund and Arjunkund Dolines, Chhatarpur District, Madhya Pradesh
Abstract Views :337 |
PDF Views:0
Authors
Affiliations
1 Department of Applied Geology, Dr. H.S. Gour University, Sagar - 470 003, IN
2 Department of Geology, Govt. P.G. College, Chhatarpur - 471 001, IN
1 Department of Applied Geology, Dr. H.S. Gour University, Sagar - 470 003, IN
2 Department of Geology, Govt. P.G. College, Chhatarpur - 471 001, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 76, No 4 (2010), Pagination: 369-370Abstract
No Abstract.- Analysis of Groundwater Levels for Detection of Trend in Sagar District, Madhya Pradesh
Abstract Views :224 |
PDF Views:1
Authors
G. S. Thakur
1,
T. Thomas
2
Affiliations
1 Department of Applied Geology, Dr. H. S. Gaur University, Sagar - 470 003, IN
2 National Institute of Hydrology, Manorama Colony, Sagar - 470 001, IN
1 Department of Applied Geology, Dr. H. S. Gaur University, Sagar - 470 003, IN
2 National Institute of Hydrology, Manorama Colony, Sagar - 470 001, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 77, No 4 (2011), Pagination: 303-308Abstract
Groundwater being an important component of the hydrological cycle as it sustains the streamflow during precipitation free periods and is a major source of water supply. The dependence on the groundwater has increased drastically over the years leading to over exploitation of the aquifers. Therefore, it is imperative to assess the extent of exploitation and analyse the groundwater level scenarios in the area of interest. The existence of a trend in a hydrological time series can be detected by statistical tests. The present study investigates the application of various methods for identification of trends in groundwater levels in few blocks of Sagar district, which faces severe water scarcity owing to the declining groundwater levels. The non-parametric Kendal rank correlation test as well as the parametric linear regression test has been used for trend detection based on the analysis of the seasonal groundwater levels. Kendal's rank correlation test, has been applied to identify the trend persisting in the data and the linear regression test is used to identify the significance of the slope. The analysis indicates that the time series of groundwater levels are cyclical with characteristics of seasonal variation in all the blocks coupled with a declining trend at Sagar, Khurai and Bina.Keywords
Groundwater, Trend Detection, Kendal Rank Correlation Test, Linear Regression Test, Madhya Pradesh.- Model for Link Prediction in Social Network by Genetic Algorithm Approach
Abstract Views :180 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Application, Maulana Ajad National Institute of Technology, Bhopal, M.P., IN
1 Department of Computer Application, Maulana Ajad National Institute of Technology, Bhopal, M.P., IN
Source
Data Mining and Knowledge Engineering, Vol 7, No 5 (2015), Pagination: 191-196Abstract
Social networking sites are increasing their features day by day to gain the attention of users. There are lots of research works in this field. Out of many research areas this paper focuses on link prediction using soft computing technique. We used various features of social network and applied genetic algorithm to predict links. Selection of features to build chromosome is main task in genetic algorithm. Number of runs will get different chromosomes i.e. shown in results. Normalization of features is also done depending upon their priority. Results show that with the increase in dataset size chances of correct prediction increases.Keywords
Social Network, Link Prediction, Genetic Algorithm.- Large Document Set Clustering:An Integrated Approach
Abstract Views :146 |
PDF Views:2
Authors
Affiliations
1 National Institute of Technology, Bhopal, IN
1 National Institute of Technology, Bhopal, IN