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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
    Stochastic alternating renewal processes models for reliability analysis of multi-component systems incorporating queuing delay
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-10) Agarwal, Shweta; Singh, S.B.
    In the real-world scenario, most of the systems are comprised of more than one component and hence it becomes inevitable to estimate the reliability and availability of multi-component systems. Also, in most of the complex repair models the system fluctuates between up-state and down-state and the failure is revealed at the time of inspection. Keeping the aforementioned facts in view, the present research is centered to propose the reliability and availability models on the basis of derived proposition, Markov process, renewal theory. In this study, six models are introduced. Model [1] aims to propose a notion of alternating renewal process to mathematically model a multi-failure complex system to develop its availability and maintenance measures. In the study, M/E2/1 queueing model with infinite waiting space during service times of components has been worked out under FCFS discipline. The primary objective of the paper is about obtaining the system’s reliability, availability, and the optimal interval period with minimum maintenance cost. Model [2] analyzes the reliability characteristics of batch service queuing system with a single server model which envisages Poisson input process and exponential service times under First Come First Served (FCFS) queue discipline. With the help of renewal theory and stochastic processes the model has been designed to discuss the reliability and its characteristics. Model [3] considers the reliability characteristics of a multi-component system envisaged with Poisson arrivals and analyzed service in bulk. In the general bulk service rule the repair process is initialized when a threshold of “a” number of failed components is reached with the maximum capacity “b”. Considering the above facts reliability and availability expressions of the considered model has been derived. Model [4] treats a risk system in which at the occurrence of failure due to any of the mode of failures the failed component joins a M/G/1 queue. After the completion of the repair, whenever the serviceman becomes idle it starts an exponential classical vacation in which the serviceman does not serve the failed unit. Incorporating the above cited facts, expressions for estimating the reliability and its other measures are derived. Model [5] investigates the reliability and other measures related to it for a periodically inspected system. Whenever any of the components gets failed it joins the M/G/1 queue with a waiting threshold. While if the service of the failed components is commenced in the threshold amount of time, then it remains to its completion. Various reliability measures like availability, maintenance, long run maintenance cost rate have been estimated for the considered system. Model [6] analyses a periodically inspected system subject to imperfect maintenance policy. The considered system is inspected and maintained periodically and passes through a fixed number of imperfect repairs before being replaced. Incorporating the given facts, the reliability of the periodically inspected system is evaluated
  • ThesisItemOpen Access
    Flow and heat transfer in hybrid nanofluid flow over a vertical plate with heat absorption and viscous dispersion
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-07) Gumber, Priya; Manoj Kumar
    Present work intends to address the issue of flow and heat transfer in nanofluids over a vertical plate with heat absorption and viscous dispersion. The various flow regime conditions including different physical phenomenon like suction/injection effect, volume fraction, Eckert number, heat generation/ absorption and shape parameter etc. have been incorporated, to study their effects on velocity, temperature and micro- rotation profiles. The physical quantities of interest viz. skin friction coefficient, Nusselt number have also been calculated and their analysis is included in this study. The study presented in the thesis comprises of five chapters. The first chapter is aimed 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.
  • ThesisItemOpen Access
    Cattaneo-Christov heat flux model in flow of hybrid nanofluid over a wedge and a cone
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2021-07) Garia, Rashmi; Manoj Kumar
    The current study deals with the flow and heat transfer near two different geometries i.e. cone and wedge and implements Cattaneo-Christov heat flux model to scrutinize the fluid flow. The flow environment is featured with the effects of thermal radiation, suction, heat generation/injection, magnetic field, volume fraction. The condition of zero mass flux is also incorporated near the surface. The influence of these aforementioned effects are studied via velocity and temperature profiles. The numeric values of engineering interest parameters i.e. skin friction parameter and heat transfer parameter are evaluated. The statistical analysis has also been performed, includes the evaluation of correlation coefficient between the pertinent parameters and the skin friction coefficient and heat transfer coefficient alongside with the evaluation of probable error and statistical declaration. The current work bounds five chapters. The very first chapter delivers the basics and foundational knowledge of fluid mechanics. The second chapter presents the cited literatures which are found to be helpful for the performing the task. The next chapter three focuses on the elaboration of mathematical formulation and numerical methodology is also described. Chapter four illustrates the results and discusses them in comprehensive manner. The summary of the fluid flow problem is presented in chapter five. The work will be applicable in the arena of engineering and applied mathematics.
  • ThesisItemOpen Access
    A study of three dimensional flow in carbon nanotubes based nanofluid
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2020-12) Upreti, Himanshu; Manoj Kumar
    The present study is dedicated to analyze the flow, heat and mass transfer characteristics of nanofluid flow through different geometries under different conditions. The nanofluid flow through different solid objects, such as porous plate, parallel plate channel, bidirectional stretching surface, unidirectional stretching surface, etc., are commonly used in many fields of engineering and manufacturing process. The involvement of various physical factors, such as magnetic field, thermal radiation (linear and non-linear), suction/injection, porous medium, thermophoresis, Brownian motion, heat source/sink (uniform and nonuniform), dissipation, Joule heating, Biot number, volume fraction of nanoparticles and different base fluids in nanofluid flow have been discussed. The influences of these parameters are plotted and discussed to examine the variations in velocity profiles, temperature and concentration distributions. Moreover, the factors of engineering interests such as skin friction coefficient and Nusselt number are studied and discussed in detail. Response of above-stated factors on entropy generation number and Bejan number are presented graphically and discussed in detail. The introduction section consists of essential notions and definitions related to fluid mechanics. Applying similarity transformations, the principle equations are converted into non-dimensional set further using Runge-Kutta-Fehlberg method along with shooting technique to solve them with the various computing tools. For validation of present numerical codes, results are compared with previously published works. The work presented in this thesis can be useful to explore various expects and dimensions of nanofluid flow problems over other materials. The obtained results are promising and have significant impact in different field of applied sciences in mathematics and engineering.
  • ThesisItemOpen Access
    Multi criteria decision analysis for classification and ranking problems in uncertain and non-deterministic environment
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2020-10) Singh, Akanksha; Sanjay Kumar
    Multi-criteria decision analysis (MCDA) which consists of classification and multi criteria decision making (MCDM). MCDA has various applications in many real life problems of pattern recognition, medical diagnosis, image recognition, speech recognition, banking, water resource location, human resource development, resource allocation and portfolio selection. The present research work mainly focus on development and implementation of MCDA models in environment of uncertainty and hesitation. In this study, 7 different models of MCDA are developed in intuitionistic fuzzy, picture fuzzy, dual hesitant fuzzy and hesitant probabilistic fuzzy linguistic environment. Model 1 is a novel construction method of IFS from fuzzy set which address limitations of existing conversion method of Jurio et al. (2010). Further, a novel dice similarity measure for IFSs also proposed and applied in pattern and face recognition. Model 2 is dual hesitant fuzzy set and intuitionistic fuzzy ideal based computational method for MCGDM problem. In this model new semi ring is used to idealize IF preference relations. Model 3 is picture fuzzy parameterized soft set based decision making method. In this model a conversion method of PFS from IFS is also developed. Model 4 is picture fuzzy Choquet integral-based VIKOR for MCDM problems. Model 5 is a novel MCDM method combining QFD with Choquet integral for social networking site selection from user’s perspective in intuitionistic fuzzy environment. Model 6 is QFD approach for MCDM in picture fuzzy environment. In this model an innovative way of dealing with negative correlation is developed. Model 7 is AHP for HPFLS with applications to MCDM method. All developed models (Models [1-7]) are implemented in real life problems of pattern recognition, medical diagnosis, face recognition, supplier selection problem, candidate selection problem, real estate investment problem ranking of organizations and ranking of social networking sites. To examine the validity of results validity test of all models (Model [2-7]) under certain criteria are also done along with comparative analysis.
  • ThesisItemOpen Access
    Study of some boundary layer nanofluid flow problems with Cattaneo-Christov theory
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2020-10) Rawat, Sawan Kumar; Manoj Kumar
    The present study deals with various nanofluid flow models with CattaneoChristov theory. The Cattaneo-Christov theory focus on presence of time lag factor (thermal and solutal time lag factors) during conduction of heat and diffusion of solute. Thisstudy investigates the boundary layer flow of nanofluids past the solid bodies of various geometries (Riga plate, cone, wedge, stretching or shrinking sheet and flat plate). The steady laminar boundary layer flow of nanofluids is studied under various physical conditions and boundary conditions.The nanofluid flows are modeled with the help of equation of mass, equation of momentum, equation of energy and equation of species transport. The numerical solution of modeled flow problems is derived and effect of controlling parameters on various flow properties and physical quantities are discussed. This thesiscomprises of five chapters. The first chapter is aimed to fulfill the basic need of introducing the various concepts and foundation needed for fluid mechanics. Chapter two throws light on majority of previous 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 problemconsidered 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. This study can be beneficial in leaning of metal wires, glass fiber production, different fields of chemistry, engineering and industry because all of them witness production of heat and deal with heat transfer phenomenon.
  • ThesisItemOpen Access
    Fixed point theorem using quasicontraction mapping in metric space
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2020-10) Chundriyal, Suraj Prakash; Pal, A.K.
    In the present research work proved a fixed point theorem due to Lj. B. CIRIC (1974) with the help of quasi-contraction condition in metric space. Thesis work present in five chapters. The first chapter consists of the basic preliminaries and definitions related to metric space, fixed point, contraction and contractive mappings. Banach contraction principle and some applications of this theorem are also discussed in this section. In the second chapter presents a review of the literature which is studied during the proposed work. The chapter three starts with some primary definitions like generalized contraction and quasicontraction, etc. Fixed point theorem due to Lj. B. Ciric (1974) are proved in this chapter. In chapter four, the theorems proved are supported by an example. In the fifth chapter, summarizes the thesis work in brief along with the conclusions. References that are helpful during research work given in the literature cited.
  • ThesisItemOpen Access
    Fuzzy rule based expert system for multi assets portfolio optimization
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2020-09) Bisht, Garima; Sanjay Kumar
    Fuzzy logic has been established as an appropriate tool to handle the uncertainty in the system which occurs due to imprecise information, uncertainty, vagueness and other uncontrolled parameters. Portfolio Optimization has always been an important topic for researchers in the area of Financial Mathematics due to its unpredictable behavior. Combination of fuzzy logic and portfolio optimization problems gives an efficient way of selecting the optimal portfolio. Portfolio optimization means combining assets in such a way so as to get maximum return or minimum risk. In the present study we develop multi input single output (MISO) Mamdani FIS for three assets to maximize return and minimize risk using triangular and gaussian membership functions. We also compare the performance of different FIS by calculating the RMSE values as compared to statistical model for portfolio optimization. Chapter 1. gives the introduction of FIS and portfolio optimization. Chapter 2. gives the literature review pertaining to FIS and applications of fuzzy logic in portfolio optimization. Chapter 3. gives materials and methods used during course of investigations. Chapter 4. gives the results obtained by Mamdani FIS. The work has been summarized in Chapter 5.
  • ThesisItemOpen Access
    Reliability and availability analyses of multi-failure renewal system under waiting
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2020-09) Chantola, Neelam; Singh, S.B.
    Due to the complexity of the real life systems it becomes mandatory to evaluate their reliability and availability. In most emerging repairing complex models, failures are not self announcing, they are found to be hidden/unrevealed. Keeping this fact in the view, the focus of the present research is on the development of reliability and availability models with the help of derived preposition, Markov process, Gumbel-Hougaard copula and ANN. In this study, six models are introduced. Model 1 deals with the methodical prepositions on availability and maintenance cost of competing risk system under periodic inspection and corrective repair, which follows (M/M/1) : (􀁦/ FCFS) queue model. Analytical results on these prepositions such as point availability, long-run availability and maintenance cost along with sensitivity with respect to different inspection periods have been examined. Model 2 discusses some prepositions on availabilities of multi failure modes system under three factors: age-based inspection policy, maintenance strategies including preventive and corrective repair and (M/Mc /1) : (􀁦/ FCFS) , where Mc represents Gumbel-Hougaard copula which couples two different distributions: general and exponential distribution. Model 3 focuses on the prepositions of system availability under semi vacation policy named as working vacations and (M/M/1) : (􀁦/ FCFS) queue model. This model studies periodic examinations and perfect corrective maintenance modeling of a multi failure modes system following (M/M/1):(􀁦/FCFS) queue model and the working vacations during repair. As the jth (j=1,2,…, β) failure occurs with failure rate λj, respective corrective repair with repair rate μj having random time Wj, (j=1,2,…, β) is carried out. Model 4 studies age-based periodic examination and perfect maintenance modeling (including PR and CR) of a multi failure modes system following (M/MGH /1) : (􀁦/ FCFS) queue model in repair. As the jth (j=1,2,…, β) failure occurs with failure rate λj, respective corrective repair with repair rate μj follows a new queuing model defined as (M/MGH /1) : (􀁦/ FCFS) , where Mc represents Gumbel-Hougaard copula which couples two different distributions: general and exponential distribution. Furthermore, the generalization of the classical vacation queue is introduced during repairing which takes random time Wj, (j=1,2,…, β). Some methodical prepositions are derived on point availability and long-run availability for the considered complex system. Model 5 investigates the reliability assessment and reliability improvement of cloud computing system using stochastic process, supplementary variable technique and Artificial Neural Network. In this model, the proposed system failure occurs due to different parameters and repair action takes place with two different distributions: general and exponential which are coupled by Gumbel-Hougaard copula. This study is estimated by embedding Markov process using Laplace transforms to estimate the system state probabilities, reliability, sensitivity and mean time to failure. Model 6 discussed in two sections. Section [1] examines Model 6A which studies many reliability characteristics such as transition state probabilities, reliability, MTTF and sensitivity of power transformer with dissimilar parameters as insulating oil and insulation paper using the Laplace transforms supplementary variable technique (SVT) and Gumbel- Hougaard copula. Reliability measures of the transformer consisting of both the parameters: insulating oil and paper following two kinds of repair combining Gumbel-Hougaard family of copula have been determined. Section [2] corresponding to Model 6B deals with the analysis of reliability of transformer with the help of stochastic process via SVT and Neural Network Approach. The failure of the mentioned system occurs due to parameters of insulating paper and oil. The rates of repair for both insulation oil and insulation paper follow general distribution and insulation oil repair rates follow exponentially distribution. Also, whenever two types of repair are feasible, it has been coupled through Gumbel-Hougaard copula. Various sorts of failures and repair rates are treated as weights while investigating with the help of neural network approach which are followed by exponential distribution. System state probabilities, reliability, up and down states probabilities have been assessed for the model by using Markov process using Laplace transforms. To demonstrate the study with illustrations, numerical examples are also included in each proposed model.