http://localhost:8080/xmlui/handle/123456789/379 Mon, 18 May 2026 04:40:38 GMT 2026-05-18T04:40:38Z http://localhost:8080/xmlui/handle/123456789/839 Title: A Framework for Offline Handwritten Devanagari Word Recognition Authors: Sukhjinder Singh; Supervisor: Garg, Naresh Kumar Abstract: The aims of the study to develop an offline handwritten Devanagari word recognition framework for various applications, including city name recognition, form processing, hand written notes reading, signature verification and writer verification. The work also include generating a corpus of handwritten Devanagari words for experimentation and exploring various features, classifiers and their combinations for offline handwritten Devanagari word recognition. Sun, 01 Jan 2023 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/839 2023-01-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/380 Title: Model Order Reduction of Large Scale System & Controller Design Authors: Gupta, Ankur; Supervisor: Manocha, Amit Kumar Abstract: All systems available in the universe are expressed by their model, represented by their transfer function form or state-space form. In this developing era, the system’s complexity is increasing, and hence the models are becoming complex. Due to the complexity, the transfer functions or state models lead to higher order models. So there is the requirement to design a suitable technique for reducing the order of the model of high order to reduce the complexity of the systems and reduce the analysis time of these systems. Numerous methods have been developed in recent years to aim that the error amongst the system of high order and reduced order is reduced to a lower value and maintaining all the characteristics of the system of high order in its approximation. The methods developed so far has several limitations due to which these methods are not applicable on all type of systems. Hence, a blended type of technique is developed in the thesis, which applies to all types of systems whether the model of the system is presented in the time domain or it exists in the frequency domain, whether it is continuous or discrete, whether it is SISO (Single Input Single Output) or MIMO (Multi Input Multi Output) model. This novel blended technique is formed by blending two techniques of reduction of the order of a model. These techniques are; an improved version of pole clustering and genetic algorithm. Fri, 01 Jan 2021 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/380 2021-01-01T00:00:00Z