H. Shah

Bio: H. Shah is an academic researcher from VIT University. The author has contributed to research in topics: Rough set & Grid. The author has an hindex of 1, co-authored 1 publications receiving 3 citations.

Multicriteria decision examination for electrical power grid monitoring system

Abstract: Rough Set theory proposed by Z Pawlak is a great help for dealing with uncertain data and dominance based rough set is an extension to the classical rough set theory considering the preference order of the data. As because of the lot number of variables and high degree of uncertainty, the process of a grid's power monitoring and its system is quite complicated. In this paper, we have used dominance based rough set approach for investigation of electrical grid monitoring system, based upon which a grid operator will be able to take efficient and intelligent decisions.

Multicriteria decision examination in wireless sensor networks

Abstract: The role of wireless sensor networks (WSNs) is essential to the present scenario. Numerous independent sensors exist in a WSN that cover the entire terrain and have the task of inspecting a specific phenomenon. For this reason, the sensors must work with minimal constraints, such as least energy consumption and data memory. To achieve the objective, many techniques are applied, one of which is clustering, where nodes are congregated into clusters and a head node is elected. Suitable cluster head selection is crucial for improving the energy management of a sensor network. In this paper, a technique based on a dominance based rough set is introduced for cluster head selection on the basis of attributes that have the capacity to augment the sustainability and lifetime of the sensor network. This method is far superior to the probabilistic approach of cluster head selection in a WSN.

Trend of energy consumption in developing nations in the last two decades: a case study from a statistical perspective

Abstract: The chapter provides an overview of the trends in consumption of energy and its source: renewable and nonrenewable across the globe with a focus on the developing nations. The study has been made for the last two decades. As the developing nations require energy to power their growth; this case study has shown how fast the consumption of the energy takes place and their projections until the year 2026. Almost 59% of the energy productions are from oil and coal for decades. The that what we have expected. With the increase in the usage of energy, we break down each major developing nation and study its energy profile. This chapter also further proposes time series analysis to project usage in the coming years. The forecast in this chapter has been accomplished using the open-source library published by Facebook for time series projections, namely Prophet. It has taken the seasonality and the yearly trends into account as parameters and therefore has given a satisfactory result on the projections.

Improving Circuit Miniaturization and Its Efficiency Using Rough Set Theory

Abstract: High-speed, accuracy, meticulousness and quick responses are the notion of the vital necessities for modern digital world. An efficient electronic circuit unswervingly affects the maneuver of the whole system. Different tools are required to unravel different types of engineering tribulations. Improving the efficiency, accuracy and low power consumption in an electronic circuit is always been a bottle neck problem. So the need of circuit miniaturization is always there. It saves a lot of time and power while switching of gates and reduces the wiring-crises. Therefore to trounce with this problem we have proposed an artificial intelligence (AI) based approach that makes use of Rough Set Theory for its implementation. Theory of rough set has been proposed by Z Pawlak in the year 1982. Rough set theory is a new mathematical tool which deals with uncertainty and vagueness. Decisions can be generated using rough set theory by reducing the unwanted and superfluous data. We have condensed the number of gates without upsetting the productivity of the given circuit. This paper proposes an approach using artificial intelligence technique with the help of rough set theory which basically lessens the number of gates in the circuit, based on decision rules.