Volume 6,andnbsp;Issue 1,andnbsp;2019

Data Hiding is the study of concealing information into harmless questions to such a degree, to the point that the nearness of the shrouded information stays intangible to an enemy. Hiding the data into cover image have differed procedures of usage created after some time. Insurance of the concealed data from an enemy is the most imperative objective of Data hiding and henceforth clearly the security of a steganography framework will increment if the image quality stays unintelligible to an assailant regardless of whether he holds information about the implanting technique. It is likewise clear that specific zones in a picture are more productive for concealing information than alternate parts of the picture.

For a long time, there has been the trend of trading of shares. Brokerage firms and dealers buy/sell stocks for clients and companies. Their work is based on knowing how the share price of the company will react in the market. Market/ share price predictions are useful as the investor/broker can attempt to predict the output in order to maximize his dividends or minimize his losses. Using data mining techniques, an attempt is made to estimate a prediction model to help forecast share prices. R and Python will be the tools used to sort, segregate and process the data, and techniques/algorithms such as Genetic Algorithm, ARIMA, Artificial Neural Networks, Linear Regression etc. will be used to forecast results of data. Along with the model data, external factors affecting share prices will also be taken into account. For each of the applied algorithms, their results will be compared and the difference in output with the real time values will be observed and recorded.

Rice is the most vital food crop in India. The cultivation of rice produces two forms of residues which are called straw and husk. Crop residue is very useful resource of energy but unfortunately it is being burnt by farmers. Time duration for preparing the field for next seasonal crop like wheat is very limited and burning is the simplest option for the farmers to clear the field. Crop residue burning produces deep impacts on environment as well as on the farms. In this paper, problems arising out for not adopting the proper methods of disposing paddy residue are discussed. Also various methods which are being currently used by the farmers for using the crop residue effectively without causing any pollution are discussed. A web based model for effective disposal of paddy residue has also been proposed. This model provides on-line platform for three stakeholders viz., farmers (producer), straw buyer and the custom hiring center for dissemination of information related to paddy residue.