Narula Institute of Technology

About: Narula Institute of Technology is a based out in . It is known for research contribution in the topics: Quantum dot cellular automaton & Cognitive radio. The organization has 288 authors who have published 490 publications receiving 2258 citations. The organization is also known as: NiT.

A swarm intelligence approach to harness maximum techno-commercial benefits from smart power grids

Abstract: Modern electricity power market has evolved from conventional vertically integrated structure to the present deregulated form and eventually to the development of the smart power grids, over the past few decades. Different market players like generation, transmission and distribution companies with their individual and collective goals and constraints are now participating in real time, prompting the need for optimal allocation and utilization of the smart grid infrastructure and resources. The objective of the optimization thus received a paradigm shift from the traditional generation cost optimization, to optimal utilization of the available resources to deliver maximum benefit to all the power market participants and the so-called social welfare. Maximization of social welfare is a highly nonlinear optimization problem and generally requires application of an efficient stochastic optimization method with in-built ability of avoiding local optima. The swarm intelligence-based optimization algorithms, developed and presented in this book chapter, offer substantial improvement in the quality of solution to the problem over the conventional solution methods. The chapter presents real-time simulation and experiments on benchmark power system networks with the developed optimization algorithms. The results are found to be quite encouraging.

Protection of Power Electronic Switches in a VSI against Over-Current and Shoot-Through Faults

Abstract: Voltage Source Inverter consists of power electronic switches, mostly MOSFET or IGBT operating at high frequency. These switches are costly and prone to various faults which if not prevented within a limited time, will result in their burning out and making the inverter inoperable. Further this would lead to potential halt of inverter based processes. Thus protection of these costly power electronic switches against such faults is of utmost importance. This experimental work investigates and prioritizes the protection of the power electronic switches of an inverter against overcurrent and shoot-through faults and also ensures automatic recovery of the inverter based system post the fault clearance.

A Genetically Trained Neural Network for Prediction of Path Loss in Outdoor Microcell

Abstract: The various mobile communication networks requires the prediction of wave propagation related parameters to predict the path-loss in the particular region of the network. In this paper AI is applied to predict the path-loss in metropolitan and suburban area. We use genetically trained neural networks to predict the path loss in small-cell network configurations especially micro-cells and pico-cell. This will help proper cellular system design and better services. In this paper the path loss in outdoor micro-cell environment of suburban areas and metropolitan centers is determine by the Genetically trained Neural Networks.

Storage & retrieval of trusted information: A temporal probabilistic database approach

Abstract: This paper proposes a data model for the management of information exchanged during trust negotiation The information exchanged during trust negotiation has been considered to be structured or may be converted to a structured format Uncertainty associated with such information transfer has been modeled as probabilistic data Updating of message has been explained using a particular application domain Effect of associating uncertainty to individual attributes and computation of overall uncertainty for a record has also been shown

Generic parity generators design using LTEx methodology: A quantum-dot cellular automata based approach

Abstract: Quantum-dot Cellular Automata (QCA) is a prominent paradigm that is considered to continue its dominance in thecomputation at deep sub-micron regime in nanotechnology. The QCA realizations of five-input Majority Voter based multilevel parity generator circuits have been introduced in recent years. However, no attention has been paid towards the QCA instantiation of the generic (n-bit) even and odd parity generator. In this paper, a comprehensive QCA based methodology, termed as LTEx methodology is proposed to produce n-bit even and odd parity generators. The two-input Layered T Exclusive OR (LTEx) module is used to implement high fan-in parity generators. The corollaries first formulate the QCA design metrics such as O-Cost, Costα, and irreversible power dissipation and then exploit the operability of the LTEx module to instantiate the efficient n-bit parity generators. These parity generators can exclusively be used in error detection and correction schemes.