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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
    Channel prediction in cognitive radio network using hierarchical neural system for throughput maximization
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2019-09) Goyal, Neetu; Mathur, Sanjay
    Wireless Communication has shown exponential upsurge in demand of wireless devices. Due to ever increasing demand of wireless communication, there is spectrum scarcity which is caused by a fixed spectrum allocation policy. Studies on usage pattern reveal that most of the allocated spectrum experiences low utilization under fixed spectrum allocation regime and spectrum occupancy varies from milliseconds to hours. This motivated the concept of frequency reuse that would allow secondary networks to borrow unused radio spectrum from primary licensed networks (users). The core technology behind frequency reuse is Cognitive Radio for which one of the essential components is channel sensing, i.e., the wireless devices can sense the radio spectrum environment within their operating range to detect frequency bands that are not occupied by primary users. This thesis presents a study on maximizing the throughput for secondary user by predicting the primary free channel in advance to save time in sensing and maximizing transmission time in a frame. The study involves exhaustive exploration of various classifiers for predictive decision making and later development of hierarchal neural network model for predicting best possible channel for transmission in following frame. It starts with performance analysis of spectrum sensing techniques, energy detector and matched filter are discussed with simulation results. On the basis of these results, energy detector is found best technique which is further analysed in fading scenario and with mobile SU. There exists a sensing-throughput trade off, hence proposed model focuses on parallel processing for predicting the next channel while primary user continues to transmit in current frame. The model considers three type of radio channel condition scenario namely, constant fading, cyclostationary fading and fast fading. The performance of the system is found to be closer to upper bound for best channel throughput and results are discussed in comparison to lower bound statistics.