THE STUDY OF OBESITY IN CHILDREN USING FUZZY LOGIC

The paper comprises of a case study which is done on children in the age group of 4 to 6years.The study includes the Body Mass Index and physical activity which are taken into account for the analysis of obesity in children. MATLAB Tool box is used for the analysis along with the concept of Fuzzy Logic

LONG TERM WIND SPEED PREDICTION USING WAVELET COEFFICIENTS AND SOFT COMPUTING

In the past researches, scholars have carried out short-term prediction for wind speed. The present work deals with long-term wind speed prediction, required for hybrid power generation design and contract planning. As the total database is quite large for long-term prediction, feature extraction of data by application of Lifting wavelet coefficients is exploited, along with soft computing techniques for time series data, which is scholastic in nature

MODAL LOGIC AS APPLIED TO CONSUMER MARKET

Presently, marketing projection of capital goods is carried out by using the Bass Model for consumer demand. This modeling technique has certain limitations from the point of various factors which affect the consumer preferences under the competitive market scenario. To take care of these additional factors into account, the Bass Model fails to meet these requirements. The present work utilizes the Modal Logic approach, including various consumer preferences and negative factors into consideration. A case study has been taken as an illustration, and a mathematical model developed using the Modal Logic with Kripke structure. The model has been validated for logic flow with the help of NuSMV, which is a free tool available on the internet. Simulation of the model has been carried out, by use of AnyLogic, which can handle multiple types of logics, which may be needed in any real environment. The paper includes, NuSMV model checking and simulation results achieved via AnyLogic and scope for including further variations required in any real case stud