Graph cuts have been an emerging tool for many applications. In this paper, the research work is based on image segmentation for detecting skin pixels using the two well-known machine learning classifiers; neural networks and random forests. In order to improve the efficiency, we then merge the results of the two classifiers using graph cuts technique. We compare our results to that of the previous work, where the classifier used was J48 (Decision Trees) graph cut based merged result which shows that if proper weights are adjusted, the performance can be increased by merging different classifier.Keywords:
Optimal management of natural resources has become a critical requirement in these days of increased industrial development and growing population natural resource management therefore has to be the key pin for an effective strategy for rural development.Where,Water is the prime natural resource for human beings and hence precious natural asset. The easy and cheaply available ground water is the most important resource for domestic, industrial and agricultural uses.
However, rapid growth of Population, vagaries in monsoon, expansion in irrigation, increased industrialization etc. have resulted into enhanced demand for ground water in various parts of the country. As a result, the ground water prospecting, exploration and management have become a big task in India in general, and certain drought prone areas in particular. Hence, in the current scenario, it has become crucial not only to find ground water potential zones, but also to monitor and conserve this important natural resource.
Hydro-geomorphological mapping is carried out at Chityala Mandal in Nalgonda District, Telangana State using integrated remote sensing and GIS based techniques. The study is to assess the natural resource potential and their spatial variability of geology, hydro-geomorphology, soils, surface water resources, ground water resources, land use /land cover, at cadastral level using high resolution satellite data (IRS-P6-LISS-IV) generation of natural resource information on 1:10,000 scale. Data is analyzed using GIS and preparation of action plans were suggested based on the geo-hydrological characteristics and agricultural needs.Keywords:
Coronary artery disease is the angina product or myocardial infection, is one of our widespread public disease. That is present in blood flow through the arteries. Due to this disease, the heart muscle may not receive enough oxygen and chest pain (called angina) may be felt. It is estimate that more than 16 million Americans have suffering from Coronary artery disease and 8 million have had a myocardial infarction (MI). Based on data from Framingham trail nearly 50% of male and 30% of female over the age of 40 will develop Coronary artery disease. However some research paper shoes that natural compound i.e. Flavonoid, Queratin, Ellagic, Resveratrol, has been regarded as a promising drug target against Coronary artery disease. In this study the docking had been done the LDL-Receptor protein (PDB ID-4LKC) using Auto dock 4.2 against the Flavonoid, Queratin, Ellagic, Resveratrol. The result show that among four phytocomound, the ellagic compound (pubchem id-5280343) showed good docking score (-7.96), and intermolecular energy (-9.15) against LDL-Receptor then the hydrogen bonding interaction (ILE-118,ALA-152,ALA-152,SER-142,THR-146,ALA-152,LYS-208,THR-150,SER-142) with active site residue. However this lead molecule has to be evaluated further before they are suggested as the best potential lead molecule.Keywords:
In this research study, the comparison of strength properties of concrete have been assessed by partially replacing cement with Sugarcane Bagasse ash, Fly ash and Rise husk ash. These ingredients are environmental pollutants, and their utilization in concrete not only save the material but can also solve the problem of their disposal and environmental pollution. Using these alternate waste materials as admixtures in concrete; cubes, cylinders and beams were cast and tested for compressive, split tensile and flexural strengths. Initial trials were conducted by partially replacing cement with Sugarcane bagasse ash starting from 2% to 12% with the gradual increase of 2% for each trial and observed maximum strength gain at 10% replacement of cement. Keeping this 10% of SCBA as constant, cement was partially replaced with variable content of FA and RHA. The proportion of FA and RHA in cement replacement was 5% to 15% and 2% to 4 %, with gradual increase of 5% and 1%. About 25% increase in the compressive, split tensile and flexural strength was found when the cement content is decreased to 78% and remaining 22% is replaced with 10 % SCBA, 10% FA and 2 % RHA.Keywords: OPC Cement, Compressive Strength, Flexural Strength, Split Tensile Strength, Sugarcane Bagasse Ash (SCBA), Fly Ash (FA), and Rice Husk Ash (RHA).
Decoders are one of the most important circuits used in combinational logic. Different approaches have been proposed for their design. In this paper, a 2:4 decoder & have used it to build a 3:8 decoder has been designed to reduce power consumption, delay and quantum cost using reversible technology, which is then analyzed and comparative study has been done in account of the power consumption, delay, quantum cost and memory usage.
Reversible logic is used to reduce the power dissipation that occurs in digital circuits by preventing the loss of
information. The proposed 2:4 & 3:8 Decoders using reversible technology gives better results in terms of reversible parameters as compare to existing results. The decoder circuits are simulated using Xilinx ISE Simulator 14.4.
Human right applies universally to all. The process of identifying vulnerable groups within the health and human right generated from the pressing reality on the ground that stemed from the fact that there are certain groups who are vulnerable and marginalized lacking full enjoyment of a wide range of human rights, including rights to political participation, health and education. Vulnerable groups are disadvantaged as compared to others mainly on account of their reduced access to medical services and the underlying determinants of health such as safe and potable drinking water, nutrition, housing, sanitation etc. The present study was undertaken based on (NFHS-3) secondary data. Stunting, wasting, underweight and anemia in children and anemia in adults are higher among the lower castes. Similarly, neonatal, postnatal, infant, child and under five statistics clearly show a higher mortality among the Schedule Caste.The study calls for continued investment in education, with a special focus on Schedule Castes dominated areas for both men and women in order to reduce maternal, infant, and child mortality.Keywords: Dalit, IMR, NMR and Under 5 Mortality.
Indian Textile Industry is one of the leading textile industries in the world. The economic liberalization of Indian economy in 1991 gave the much needed thrust to the Indian textile industry, which has now successfully become one of the second largest in the world. There are many states like West Bengal, Tamil Nadu, Gujarat, Kerala and Maharashtra which are textile hub of the Country. Among them Maharashtra is one of the giants in the textile manufacturing and also the one to owe highest industrial outputs in the textile sector. There are abundant natural resources, skilled manpower and premiere R&D centers. Additionally bulk of raw material available is all responsible for pushing down the cost of textile industry. Due to all these favorable factors, it contributes highest FDI in the country and highest contribution to India’s GDP. This industry comprises of both Public and Private sector textile units. Though it is leading textile producing state but it is struggling hard to uphold and maintain its position. Therefore, it is important to check the impact of Solvency, liquidity and turnover on the financial performance of Public sector textile units in Maharashtra. In the present study researcher has identified various significant ratios to study the impact of firm’s specific independent variables on financial performance of selected public textile units using multiple regression model.Keywords: Indian Textile Industry, Maharashtra’s Textile Industry, financial performance, multiple regressions Analysis.
The Scheduled Tribes is the most socially and educationally disadvantaged groups in India. ST has different histories of social and economic deprivation and the underlying causes of their educational marginalization are also strikingly distinct. The main aim of education is to change the cultural norms and patterns of life of tribal women to make them economically independent, to organize themselves to form strong groups so as to analyzed their situations and conditions of living, understand their rights and responsibilities to enable them to participate and contribute to the development of women and the entire society. Despite these efforts the performance of the tribes in education is much lower than the Scheduled Castes. The present study was undertaken based on secondary data. The studies suggest that the policy makers approach paid little attention to culturally linked education. This has led to drop outs and directly impacted their overall educational status.Keywords: Primary Education, Dropouts, Literacy Rate and Tribes.
Asparagus racemosus Willd. locally known as “Kurilo” or “Shatavari” belonging to the family Liliaceae is a multipurpose plant facing severe threat have been studied for the purpose of its conservation using tissue culture as a promising technique. Here we studied different types of calli formed from the nodes on MS medium containing different concentrations of auxins and cytokinins and observed the induction of somatic embryoids at different stages of development from those calli. The calli with somatic embryoids were subcultured to regenerate normal seedlings which were later rooted in vitro and finally acclimatized.Keywords: Shatavari, Asparagus racemosus, in vitro, somatic embryoids, acclimatization.