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Theses

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2016 - 20176
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Subject: Mathematics × End date: 2017 × Start date: 2010 × Type: Thesis × Thesis Type: M.Sc ×
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Now showing 1 - 6 of 6
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    ThesisItemOpen Access
    Statistical evaluation of body paramaters in adolescent girls
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-07) Joshi, Bhawana; Shukla, A.K.
    Adolescence is a developing stage and the transition period of adolescence encompasses multiple significant changes like physical, psychological and social that takes place between childhood and adulthood. Body composition & anthropometric parameters are the surrogate measures of metabolic changes that occur in this period of growth and maturation. The assessment of these parameters provides key information to understand the current as well as future health of adolescents. In India, adolescent girls need special attention in view of their role in shaping the health and well being of the present and future generations. Therefore, the present study was undertaken with the major objectives to find distribution pattern of several body parameters, study of inter-relationship between body composition and anthropometric parameters, comparison of body parameters in different age groups and development of prediction models for BF% using different body parameters of adolescent girls. Secondary data of adolescent girls related to Age, Height (H), Weight (W), Body Mass Index (BMI), Waist Circumference (WC), Hip Circumference (HC), Waist-to-Height Ratio (WHtR), Waist-to-Hip Ratio (WHR), Total Body Water Percentage (TBW%), Body Density (BD), and Body Fat Percentage (BF%) were used in this investigation. Data were analysed with help of various parametric and non-parametric statistical techniques using different software namely SAS, IBME SPSS Statistics 20, EasyFit 5.6 Professional and JMP. The following conclusions were drawn from this study. • None of the body parameters under study follow Normal Distribution in the Combined Age Group (13-17 years) as well as in different segments of age groups of adolescent girls which revealed that for statistical study of these parameters non-parametric test procedures should be preferably used by the researchers and nutritionist for more reliable results. • Best fitted distribution of BF% and BMI in different segments of age groups were found appropriate for the prediction of proportion of adolescent girls in different health status categories. Therefore, these distributions could be effectively used to examine the health status of adolescent girls in different populations. • Age, TBW% and BD showed significant negative correlation with BF% whereas W, BMI, WC, HC, WHR and WHR were significantly positively correlated with BF% in adolescent girls of Combined Age Group (13-17 years). • TBW% and BD showed a significant negative partial correlation with BF% when the effect of other body parameters were controlled together. • Significant difference were observed in different segments of age groups with respect to H,W ,BMI, HC,WHR, BF% and TBW% whereas no significant difference was observed with respect to WHtR & WC. • The best prediction model for BF% could be achieved using Multiple Linear Regression Models as compared to Linear Regression and Non Linear Regression Models. The findings of the present study are expected to provide a new direction to health planners and nutritionists for decision making in health related issues of adolescent girls.
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    ThesisItemOpen Access
    Fuzzy rule based modeling to study effect of distillery effluent on crop economic field
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-07) Dhyani, Makrand; Sanjay Kumar
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    ThesisItemOpen Access
    Analysis and forecasting of financial time series using artificial neural network
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-07) Chauhan, Shikha; Pal, A.K.
    Present work entitled “ANALYSIS AND FORECASTING OF FINANCIAL TIME SERIES USING ARTIFICIAL NEURAL NETWORK” treated the issue of developing an artificial neural network model which generates a buying signal based on Golden crossover and sell signal if 50 DMA crosses below 200 DMA and also, forecasts the stock index for future. Artificial neural networks are very good in the stock market prediction as they are non-linear and complex models. In this work, we have used the artificial neural network to predict the stock index and behavior (buy or sell signal) of financial time series. The presented study comprises five chapters. The first chapter is aimed to fulfill the basic need of introducing time series, artificial neural network and the use of neural network in the time series forecasting. Chapter two accomplished majority of passed research work related with the present work. Chapter three covers the material and methods used for the present study. We have presented the neural network for the prediction and simulated it in MATLAB software. Chapter four describes the result and discussion of the encountered taken in chapter three. The work has been summarized in chapter five. Along with the finding of the study, the literature used in the course of the study has been referred under the section of literature cited. The related study may be helpful for the investors of stock market to make wise decisions so that they can have maximum profit.
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    ThesisItemOpen Access
    Reliability modeling of repairable systems using interval valued universal generating function
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-06) Renu; Singh, S.B.
    In this thesis authoress studied following two different models: (1) Reliability assessment of repairable parallel-series multi state system applying interval valued universal generating function. (2) Reliability evaluation of repairable weighted (u, v)-out-of-(x, y) system using interval valued universal generating function. Both models involve a comprehensive analysis of the systems using interval-valued universal generating function incorporating different types of uncertainties which have been removed by using probability intervals. In the first model, we have considered a repairable multi-state parallel-series system having two different uncertainties namely Aleatory and epistemic uncertainty. Probability intervals have been used to deal with these uncertainties. The failure rates ( ijk l ) and repair rates ( ijk m ) are taken in interval numbers. Using Laplace-Steiltjes transform probability intervals have been calculated. By using these probabilities, reliability, MTTF and sensitivity of the proposed system have been computed. In the second model, repairable weighted (u, v)-out-of-(x, y) system consisting of 6 components with two types of uncertainties has been studied. In this model different weights have been assigned to the components to evaluate the reliability and sensitivity of the system with the help of same methods as applied in model-1.
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    ThesisItemOpen Access
    A study of flow and heat transfer of nanofluid over a flat plate
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-05) Upreti, Himanshu; Manoj Kumar
    Recent work deals with the problem pertinent to flow and heat transfer of nanofluid flow over a flat porous plate under the influence of suction/injection, heat generation/absorption and viscous-Ohmic dissipation. The influences of these parameters and other factor governing the flow have been analyzed and their impact on velocity and thermal boundary layer is reveal through graphs. Moreover, the non-dimensional quantities i.e., skin friction coefficient and heat transfer rate (Nusselt number) have also been computed and included in this study. The study presented in the thesis includes five chapters. The first chapter aims to fulfill the basic need of introducing the various concepts and foundation needed for fluid mechanics. Chapter two throw light on majority of passed research work related with the present work. Chapter three covers the mathematical formulation of the problem and its detailed description. A proper description of used methodology, together with the details of the numerical solution is also presented. Chapter four describes the result and discussion of the considered problem taken in chapter three. The work has been summarized in chapter five. In along with the finding of the study, the literature used in the course of the study has been referred under the section of literature cited. The related study may be helpful to applied scientific fields and different branch of engineering and applied mathematics.
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    ThesisItemOpen Access
    A study of heat and mass transfer flow problem in nanofluid
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-06) Rawat, Sawan Kumar; Manoj Kumar