Shiv Nadar University

About: Shiv Nadar University is a education organization based out in Dadri, Uttar Pradesh, India. It is known for research contribution in the topics: Population & Graphene. The organization has 1015 authors who have published 1924 publications receiving 18420 citations.

A messy confrontation of a crisis in agricultural science.

Abstract: january 16, 2010 vol xlv no 3 EPW Economic & Political Weekly 66 Shelley Feldman (rf12@cornell.edu) is a sociologist associated with both Cornell University and Binghamton University, United States; Stephen Biggs (biggs.s@gmail.com) is at the School of Development Studies, University of East Anglia, UK; and Rajeswari Raina (rajeswari_raina@ yahoo.com) is with the Centre for Policy Research, New Delhi. a Messy confrontation of a crisis in agricultural science

On strategy-proof social choice between two alternatives

Abstract: We study strategy-proof rules for choosing between two alternatives. We consider the full preference domain which allows for indifference. In this framework, for strategy-proof rules, ontoness does not imply efficiency. We weaken the requirement of efficiency to ontoness and characterize the class of strategy-proof rules. We argue that the notion of efficiency is not desirable always. Further, we provide a simple description of the class of onto, anonymous and strategy-proof rules in this framework. The key feature of our characterization results brings out the role played by indifferent agents.

Tunnel FET based low voltage static vs dynamic logic families for energy efficiency

Abstract: Tunnel FETs as steep slope devices have attracted attention for achieving energy efficiency at low supply voltages. This paper presents the design of Hetero-junction Tunnel FET (HTFET) based logic gates for static and dynamic logic topologies for the first time. Comparison is also done with 20nm Si FinFET technology with supply voltage scaling. Due to the steep slope characteristics, HTFET topologies have improved energy efficiency in comparison to Si FinFET configurations. It has been observed that HTFET static logic gate (two input NAND) is ~60% more energy efficient then Si FinFET static logic gate. One of the key findings from this work is that HTFET dynamic logic gates outperform HTFET static gates and FinFET designs in terms of energy efficiency due to HTFET's steep slope, low static power and reduced delay values. The HTFET dynamic logic gate has ~65% less energy consumption than HTFET static NAND gate and ~56% less energy consumption than FinFET dynamic NAND gate at V dd =0.2V.

Real Time Monitoring and Controlling of Water Level in Dams using IoT

Abstract: Dams provide us with a wide range of social, economic, environmental benefits by helping us in controlling the flow of water, generating hydroelectric power, flood control, waste management, navigational purposes and act as habitats for aquatic life. India has progressed a lot in the construction of dams and water reservoirs after Independence and now we are among the best dam builders in the world. We have around 4300 dams in India and many more are already under the process of construction. But even today most of these dams use the conventional methods of dam management for controlling the dam gates and dam maintenance. In the current fast paced modern world where we are trying to automate all the processes around us, it’s high time that we revamp the management of our dams using Internet of Things. In this paper we have proposed and implemented a novel idea of automating the process of dam management from collecting the data of water level to control the dam gates. This idea will help us to streamline the control of dams throughout the country and reduce the manpower for dam maintenance.