Motilal Nehru National Institute of Technology Allahabad

About: Motilal Nehru National Institute of Technology Allahabad is a education organization based out in Allahabad, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 2475 authors who have published 5067 publications receiving 61891 citations. The organization is also known as: NIT Allahabad & Motilal Nehru Regional Engineering College.

Preparation, Chemical Composition, Characterization, and Properties of Napier Grass Paper Sheets

Abstract: In this study, perennial fast growth Napier grass fibers were used for pulp and papermaking. Chlorination and alkaline processes were carried out using sodium chlorite and sodium hydroxide respectively, for pulp extraction from Napier grass. Detailed chemical composition analysis of the Napier grass fibers and the extracted pulp was carried out and a comparison with other perennial grasses was made. The extracted fibers and pulp obtained from Napier grass were characterized using scanning electron microscopy and Fourier transform infrared spectroscopy. The physical, optical, and mechanical properties of Napier grass pulp handmade paper sheets produced in the laboratory were investigated by finding the opacity, brightness, tensile index, breaking length, and burst index. Handmade paper sheets made from Napier grass pulp were compared to paper made from other perennial grasses. The superior properties of paper produced from Napier grass pulp indicate the suitability of Napier grass as an alternative non-woo...

A bio inspired algorithm for solving optimization problems

Abstract: Although a number of nature inspired algorithms exist in literature to solve optimization problems, yet there is always a need of new algorithm which can search for optimum solution in minimum time. This paper proposes a new optimization algorithm for solving optimization problems. Proposed algorithm has been compared with existing algorithm like Genetic Algorithm, Particle swarm Optimization on benchmark functions and experiments prove that proposed algorithm is better in many cases.

Development and Comparison of Open Source based Web GIS Frameworks on WAMP and Apache Tomcat Web Servers

Abstract: Geographic Information System (GIS) is a tool used for capture, storage, manipulation, query and presentation of spatial data that have applicability in diverse fields. Web GIS has put GIS on Web, that made it available to common public which was earlier used by few elite users. In the present paper, development of Web GIS frameworks has been explained that provide the requisite knowledge for creating Web based GIS applications. Open Source Software (OSS) have been used to develop two Web GIS frameworks. In first Web GIS framework, WAMP server, ALOV, Quantum GIS and MySQL have been used while in second Web GIS framework, Apache Tomcat server, GeoServer, Quantum GIS, PostgreSQL and PostGIS have been used. These two Web GIS frameworks have been critically compared to bring out the suitability of each for a particular application as well as their performance. This will assist users in selecting the most suitable one for a particular Web GIS application.

Statistical analysis of long term spatial and temporal trends of temperature parameters over Sutlej river basin, India

Abstract: The annual and seasonal trend analysis of different surface temperature parameters (average, maximum, minimum and diurnal temperature range) has been done for historical (1971–2005) and future periods (2011–2099) in the middle catchment of Sutlej river basin, India. The future time series of temperature data has been generated through statistical downscaling from large scale predictors of CGCM3 and HadCM3 models under A2 scenario. Modified Mann–Kendall test and Cumulative Sum (CUSUM) chart have been used for detecting trend and sequential shift in time series of temperature parameters. The results of annual trend analysis for period of 1971–2005 show increasing as well as decreasing trends in average (T Mean), maximum (T Max), minimum (T Min) temperature and increasing trends in Diurnal Temperature Range (DTR) at different stations. But the annual trend analysis of downscaled data has revealed statistically significant (95% confidence level) rising trends in T Mean, T Max, T Min and falling trend in DTR for the period 2011–2099. The decreasing trend in DTR is due to higher rate of increase in T Min compared to T Max.