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Theses

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2016 - 201914
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Subject: Mathematics × End date: 2019 × Start date: 2010 × Type: Thesis × Thesis Type: M.Sc ×
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Now showing 1 - 9 of 14
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    ThesisItemOpen Access
    Velocity and heat transfer CNTs-H2O Nanofluid flow
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-11) Gautam, Ajay Kumar; Manoj Kumar
    Recent work deals with the problem pertinent to investigate the heat transfer and velocity of nanofluid flow over a bidirectional stretchable in the presence of several various physical parameters like non-linear thermal radiation, non-uniform heat source/sink, Ohmic heating and magnetic parameter. The effects of these parameters and governing factors in the boundary layer flow effects on the velocity and temperature profile, graphically it is represented as well as solved numerically and these numerical values are represented in the tabular form. In the study of this problem the dimensionless quantities such as rate of heat transfer (Nusselt number) and skin friction coefficient have been computed. The present thesis consists of five chapters. The first chapter contains the introduction part of various physical parameters, basic information of fluid mechanics and other various concepts. In chapter two, the review of some published researches has been concluded for the present study. Chapter three consists of numerical solutions of some physical parameters, governing equations and some appropriate transformations has been done. The whole methodology is used for solving the problem and getting description in detailed. And the presentation of numerical solution has been obtained in this chapter. Chapter four contains the results and discussion of the present problem. And in chapter five the problem is summarized, along with the phenomenon of finding the study which is included in the section literature cited. The present study can be helpful in the related field of applied scientific and different branch of engineering and applied mathematics.
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    ThesisItemOpen Access
    Fixed point theorems on complete intuitionistic fuzzy metric space under contractive and weakly compatible mapping
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-07) Sharma, Vaibhav; Sanjay Kumar
    In the present research work fixed point theorems due to Mellaini et al. (2019) and Hu et al. (2013) are proved in intuitionistic fuzzy metric space under contractive and weakly compatible mapping. The work is presented in five chapters. Chapter one focuses on the basic preliminaries and definitions related to metric spaces, fuzzy metric spaces, intuitionistic fuzzy metric spaces, contractive mapping, and fixed point. Chapter two presents a review of the literature which is studied during the proposed work. In chapter three definition of contractive mapping is extended into intuitionistic fuzzy metric space. Fixed point theorems due to Mellaini et al. (2019) and Hu et al. (2013) are proved in this chapter. In chapter four, the theorems proved are supported by few examples. A corollary related to the fixed point theorem under weakly compatible mapping is also drawn. Chapter five summarizes the work in brief along with the conclusions. The literature used in the course of the study has been referred under the section of literature cited.
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    ThesisItemOpen Access
    Behavior and mood prediction of human by signature and facial expression analysis
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-06) Punetha, Neha; Pal, A.K.
    Present work entitled “BEHAVIOR AND MOOD PREDICTION OF HUMAN BY SIGNATURE AND FACIAL EXPRESSION ANALYSIS” treated the issue of developing a system which generates future values and personality and mood prediction system based on signature and facial expression analysis of human. First need is to train the network and then the network will give a result. The presented study consist of five chapters, the first chapter is directed to justify the elementary need of introducing Artificial Neural Network, Pattern Recognition, Facial Expression Recognition, and Signature Analysis the use of the neural network in behavior prediction. Chapter two comprise the majority of passed research work linked with present work. Chapter three consists of the material and methods used for the existing study. We have presented the neural network for the behavior prediction and simulated it in MATLAB software. Chapter four refers to the results and discussion of the study taken in chapter three. The work has been summarized in chapter five. Along with the study, and the literature used in the course of the study has been referred under the section of literature mentioned. The associated study may be helpful for the personality and mood prediction of human.
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    ThesisItemOpen Access
    Reliability modelling of replaceable interconnection networks using interval valued universal generating function
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-07) Khati, Amisha; Singh, S.B.
    In this research work, authoress has developed two different models which are given as: 1. Reliability assessment of replaceable shuffle exchange network (SEN) by using interval valued universal generating function. 2. Reliability assessment of replaceable shuffle exchange network (SEN+) applying interval valued universal generating function. In both the models, we have assumed that the networks are having uncertainties and the failed components of both the networks can be replaced unlike done in the past. The reliability assessment of both networks was done by using the method of IUGF. In the first model, an 8×8 replaceable SEN possessing different uncertainties was considered. The reliability block diagram of the terminal, broadcast and network reliability of SEN was presented. In order to overcome the uncertainties, probabilities bounds have to be used which were evaluated by using supplementary variable technique and Laplace transform. The bounds of the three reliabilities of the SEN were computed along with their MTTF bounds. In the second model, we have considered an 8×8 replaceable SEN+ having uncertainties. The reliability block diagram of the terminal, broadcast and network reliability of the considered SEN+ was presented and its modelling corresponding to each reliability measure was done by applying supplementary variable technique to it. Then by employing Laplace transform, various probability bounds were evaluated and subsequentially the reliability bounds and their MTTF bounds were computed.
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    ThesisItemOpen Access
    Intuitionistic fuzzy rule based modelling to study few psychological parameters
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2018-08) Gupta, Virendra; Sanjay Kumar
    Unlike fuzzy set, Intuitionistic fuzzy set (IFS) uses separate functions for membership and non-membership grade. Hence, IFS is considered more ideal tool than fuzzy set to handle non-determinism along with uncertainty. In the present study, we have developed an intuitionistic fuzzy rule based model for predicting anxiety level of students using extraversion and motivation. Participants in the present study are 22 students from the department of physics, chemistry and mathematics. In this study, we also compare performance of IFS rule based model with the performance of earlier fuzzy rule based model, ANFIS model and hybrid models. The chapter 1 describes the basic preliminaries of fuzzy sets, IFS and basic terminology of psychology. It also contains the description of problem undertaken. A brief review of past research work in the area of fuzzy logic, intuitionistic fuzzy sets, psychology and cognitive science have been presented in chapter 2. The chapter 3 comprehensively describes the various material (collection of data through Maudsley Personality Inventory questionnaire) and method that is being used in the duration of course of investigation. The results obtained have been placed in chapter 4 and this chapter also includes comparison with the results obtained output by fuzzy method, ANFIS and Genetic Algorithm method. The works have been summarized in chapter 5. The literature used in the course of study has been referred under section literature cited.
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    ThesisItemOpen Access
    A study of boundary layer flow and heat transfer of nanofluid over an inclined cylinder with suction/injection
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2018-06) Shikha; Manoj Kumar
    An analysisis done with the problem related to flow and heat transfer of nanofluid flow over an inclined stretching porous cylinder due to various parameters such as heat generation/absorption, suction/injection and viscous dissipation etc. There are many medical branches, mechanical engineering, hydrodynamic and chemical engineering etc., in which the flow of immersed bodies in Newtonian and non-Newtonian fluid flow are studied. The other parameters which are affecting the flow have been analyzed and with the help of graphs, we discussed its impact on velocity and thermal boundary layer. Further their effects on skin friction coefficient and Nusselt number are studied and discussed in details. This thesis contains five chapters which are further divided on the basis of their aim. Chapter 1 introduces the basic requirements of various fundamental concepts needed to study the presented problem of dynamic fluid mechanics. In chapter 2, it is broadly discussed the relation of past research work with the presented work. Mathematical formulation of the problem, detailed description of used methodology and its numerical solution is discussed in chapter 3.Results and discussion of the considered problems revealed in chapter 3 are discussed in chapter 4 and the summery of the work is done in chapter 5. During the course of analysis, the literature used in the course of the study has been referred under the section of literature cited. The presented analysis helps in nano field of applied science such as miniaturized technology, mechanical engineering and medical science etc.
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    ThesisItemOpen Access
    Investigation of reliability characteristics of different networks incorporating copula
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2018-06) Nautiyal, Nisha; Singh, S.B.
    In this thesis, authoress has studied the following two different models: 1. Evaluation of reliability of a k-out-of-n network with the help of Gumbel-Hougaard family of Copula. 2. Reliability assessment of a mobile ad-hoc network (MANET) applying Gumbel-Hougaard family of Copula. Both models involve the comprehensive study of the networks having different failure rates which are studied by copula methodology. In the first model, a k-out-of-n network having the property that atleast k node must be there which can have flow from source to terminal, out of the total n nodes, is considered. The nodes which got failed are being repaired by coupling the two repair rates, i.e., exponential and general repair. By using the supplementary variable technique probabilities for different transition has been obtained. Reliability, M.T.T.F and sensitivity of the network have been analyzed using the Gumbel-Hougaard family of Copula. In the second model, a mobile ad-hoc network (MANET) has been studied. The network taken is an environment of a battlefield which has been modeled as a MANET. It includes headquarters (source), three Indian forces (Sub-MANETs) and the base camp of terrorist (sink). The main aim is to destroy the base camp (or to reach the sink). The reliability, M.T.T.F and sensitivity of the MANET have been evaluated by the same method as used in the above model.
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    ThesisItemOpen Access
    Expert system for portfolio management based on technical indicators using ANN
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2018-06) Pandey, Ankita; Pal, A.K.
    Present work entitled “EXPERT SYSTEM FOR PORTFOLIO MANAGEMENT BASED ON TECHNICAL INDICATORS USING ANN” treated the issue of developing an ANN model which generates future values and portfolio system based on technical indicators. Artificial neural networks are very good in the stock market prediction as they non linear and complex models. In this work, we have used the artificial neural network to predict the stock prices and on the bases of their prediction we generate a portfolio system. The presented study comprises five chapters. The first chapter is aimed to fulfil the basic need of introducing artificial neural network, time series, portfolio and the use of neural network in portfolio management. Chapter two accomplished majority of passed research work related with 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
    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.