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Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

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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.
  • 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
  • ThesisItemOpen Access
    Analysis and extension of some secret handshake schemes
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-03) Kulshrestha, Preeti; Arun Kumar
    Trust establishment during the secure communication is very important as trust establishment become delicate when it involves the exchange of sensitive secret information. Recently introduce secret handshake primitive tackled this problem, which allows two user to authenticate each other secretly and derive a shared common session key only if they both belong to the same organization, otherwise they learn nothing about each other. In this thesis, we present four secret handshake protocols. At first, we focus on secret handshake based on ElGamal and DSA signature and introduce two secret handshake schemes based on variations of DSA signature which are secure under random oracle model. Then we concentrate on ZSS signature and construct two schemes with two different features, one is secret handshake with dynamic matching and another is secret handshake with unlinkability. Both the schemes are secure under bilinear inverse Diffie-Hellman assumption. We also cryptanalysis an existing scheme of unlinkable secret handshake. All developed protocols can be helpful in real life problems in which two entities wish to communicate secretly and want to establish a session key without being observed or detected
  • ThesisItemOpen Access
    A study of reliability models based on fuzzy set theoretic approach
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-01) Pawan Kumar; Singh, S.B.
    The present work consists of five chapters. A brief summary of these chapters is given below. Chapter one of the thesis is purely introductory in nature and contains history related to reliability theory with several definitions of different reliability tools which are often used in the study of reliability theory. Some different probabilistic distributions are also introduced in this chapter. This chapter also discusses the fundamental concepts of fuzzy set theory and gives some application of fuzzy set theory (FST) to reliability engineering. The chapter two contains review of literature pertaining to classical reliability analysis techniques of different researchers and recent research papers related to reliability theory, fuzzy theory and fuzzy reliability theory. Chapter three describes the different methodology of reliability evaluation of different complex systems using interval-valued intuitionistic fuzzy set, generalized trapezoidal intuitionistic fuzzy number, different types of level ( ߩ, ߣ ) interval-valued fuzzy number, and different types of conflicting bifuzzy failure rates. Concept of intuitionistic fuzzy Weibull lifetime distribution and intuitionistic fuzzy random lifetimes are also discussed in this chapter. The reliability and mean time to failure (MTTF) of the different systems are also evaluated. In chapter four some numerical examples are presented to illustrate how to calculate the fuzzy reliability using different methods under different fuzzy environments. The results obtained from the examples illustrated in this research also support the traditional facts of the system reliability. We can conclude from the present study that the proposed methods have no restrictions and it is applicable in situations where there are subjectivity, imprecision, uncertainty, ambiguity and hesitancy. In the final chapter, conclusions and future works are summarized.
  • ThesisItemOpen Access
    Reliability assessment of systems using universal generating function in different environments
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-01) Negi, Seema; Singh, S.B.
    Due to the complexity of the real life systems it becomes mandatory to evaluate their reliability. Keeping this fact in view, the focus of the present research is on the development of reliability models with the help of UGF and FUGF. This study proposes nine different reliability models. Model 1 deals with the reliability (unreliability) of circular weighted-(n, f,k): G (F) systems with the application of UGF. In this model some conditions on weight are imposed and reliability have been compared. The sensitivity of the considered systems with respect to different parameters has also been examined. Models 2 introduces and analyzes the fuzzy reliability of linear weighted-(n, f, k, m): G (F) systems with the help of UGF and fuzzy exponential distribution. Also after imposing different conditions on weight, the fuzzy reliability and FMTTF of the proposed systems have also been compared. Model 3 focuses on the reliability, MTTF and sensitivity analysis of a complex system which consists of two non repairable subsystems, namely A and B connected in series and parallel, having non identical and independent components, each having different probabilities of success by using UGF. Model 4 studies a non repairable complex system which consists of two subsystems say A and B, connected in series. The subsystems A and B are weighted k-out-of-n: G and weighted l-out-of-m: G configurations respectively. All the components of the subsystems A and B are arranged in parallel. Five prepositions are developed to express the UGF of the proposed system. This study is further extended to evaluate the reliability characteristics such as reliability, MTTF and sensitivity of the proposed system based on these prepositions. Model 5 studies the fuzzy reliability measures of a linear m-consecutive weighted-kout-of-r-from-n: F system. This model provides an algorithim for the evaluation of fuzzy reliability of the proposed system based on application of UGF and fuzzy exponential distribution. It is assumed in the study that failure rate follows GrSTrFN in fuzzy exponential distribution. Further, GrSTrFN and its arithmetic operations are obtained. Model 6 investigates the fuzzy reliability characteristics of fuzzy weighted- k~-outof-n: G (F) system by using fuzzy exponential distribution and UGF. Expressions for fuzzy reliability, FMTTF and their (α, β)-cut have been discussed when systems follow trapezoidal intuitionistic fuzzy exponential distribution. Model 7 introduces and studies the reliability measures of a weighted-((f / (r, s)), k)/(m, n): G system based on UGF and Rayleigh distribution. In this model some prepositions are formed to understand the behaviour of the proposed system with respect to different varying parameters. Model 8 deals with the reliability analysis of a k-out-of-n: G system with redundancy and load sharing components in which load sharing is dependent on failure rates of working components under certain law by using UGF. Further this study presents the new formulas for load sharing in different environments. Model 9 investigates the fuzzy reliability measures of a redundant consecutive fuzzy weighted- k~-out-of-n FMSSs by using the combination of fuzzified stochastic process and FUGF. These systems is made up of n independent, nonidentical and non-repairable MSEs and a cold standby MSE whose state transition rate (failure rate) are provided by the decision makers as TFN. Also the fuzzy weight and fuzzy performance rate of each MSE is taken as TrIFN and TFN respectively. In this study we have developed formulae for FUGF in two cases: with redundancy and without redundancy. By using these expressions, formulae for fuzzy reliability and FMTTF of the proposed systems have been evaluated. Finally two prepositions are developed to count the effect of fuzzy weight k~on the fuzzy reliability and FMTTF of the proposed FMSSs. At last all the developed models are illustrated through numerical examples.