Data Mining and Knowledge Engineering

A. Nithya ¹, V. Sundaram ²

Affiliations
1 Nehru Arts and Science College, Coimbatore, Tamil Nadu, IN
2 MCA Department, Karpagam College of Engineering, Coimbatore, Tamil Nadu, IN

Abstract

Rice disease identification is one of the main issue of the country. The essence of the paper is identifying the rice disease in initial stage. This paper going to be create ready reckoned of the farmers. The main advantage of the paper is easily identifying the disease and gives the better solution for the farmers. It is the process which includes defining and redefining problems, formulating hypothesis, collecting, organizing and evaluating data; making deductions and reaching conclusions and at last presenting it in a detailed, accurate manner. This paper mainly focuses on concepts of data mining such as Classification, Decision Trees, and Neural Networks. A disease is an abnormal condition that injures the plant or causes it to function improperly. Diseases are readily recognized by their symptoms-associated visible changes in the plant. The organisms that cause diseases are known as pathogens. Many species of bacteria, fungus, nematode, virus and mycoplasma-like organisms cause diseases in rice. Disorders or abnormalities may also cause by abiotic factors such as low or high temperature beyond the limits for normal growth of rice, deficiency or excess of nutrients in the soil and water, pH and other soil conditions which affect the availability and uptake of nutrients, toxic substances such as H2S produced in soil, water stress and reduced light. However, here we will cover only the common diseases of rice those cause by pathogen.

Keywords

Decision Trees, Classification, Data Mining, Neural Network.

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R. Venkateswaran ¹, V. Sundaram ²

Affiliations
1 GR Govindarajulu School of Applied Computer Technology, Coimbatore, TN, IN
2 Department of MCA, Karpagam College of Engineering, Affiliated to Anna University of Technology, Coimbatore, TN, IN

Abstract

This paper shows the possibility of exploiting the features of substitutions cipher with ASCII values of the given text and then applying conversion, transposition and shows some unreadable form. In substitution ciphers the plaintext letters are enciphered differently depending upon their placement in the text. As the name polyalphabetic suggests this is achieved by using several two, three keys and random keys combinations instead of just one, as is the case in most of the simpler crypto systems. Using two keys, we take 2 keys e1, e2 and let the ASCII values of e1 be 1 and e2 be 2 and take the text, add ASCII values of e1 to first character and ASCII values of e2 to second character. Alternatively add the value of e1 and e2 to consecutive characters. Here we introduced security layer that is user can select their security level based on their communication over Internet.

Keywords

Encryption, Decryption, Genetic Keys, Mono Substitution, Poly Substitution, Ciphers.

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