North Eastern Regional Institute of Science and Technology

About: North Eastern Regional Institute of Science and Technology is a education organization based out in Itanagar, India. It is known for research contribution in the topics: Population & Raman spectroscopy. The organization has 813 authors who have published 1429 publications receiving 16122 citations.

Phase Transition Studies in 4(4′-n-Alkyloxy Benzoyloxy Benzylidene)-2″-Methylaniline Homologous Series

Abstract: As a part of our program of study of phase transitions in groups of liquid crystals, we report here the phase transition studies on 4(4′-n-Alkyloxy benzoyloxy benzylidene)-2″-methylaniline homologous series (alkyl = C7, C8, C9, C10, C11 and C12) using a variety of experimental techniques. These are Differential Scanning Calorimetry, Thermal Microscopy, Electron Spin Resonance Spectroscopy and Density determination. The Isotropic-Nematic transition is found to be first order in all the compounds. The Nematic-Smectic A transition is exhibited by C10, C11 and C12 homologues of the series only and is found to be weakly first order in all these three compounds. The experimental results are compared with those of the previous results and with those of the theoretical predictions of molecular field theory of Smectic A liquid crystals.

Improving the performance of key pre-distribution scheme in sensor network using clustering of combinatorics

Abstract: Key Pre-distribution Scheme in Wireless Sensor Network plays an important role of providing security to the network. A perfect key pre-distribution scheme provides better resiliency against malfunction of the sensor node or physical capture of nodes. Combinatorial design technique is well established method for KPS as it give excellent connectivity to the network. Also it is observed that good connectivity does not imply perfect resilience against node compromise. Resilience is the measure of ability of survival of the network in hostile environment. We propose a novel KPS based on combinatorial design, where nodes were clustered with the help of concept of formation of balanced incomplete blocks of combinatorial design theory. We have performed various experiments for performance analysis of the new proposed scheme showing the connectivity comparison, average hop count comparison and resilience measure with existing traditional KPS in various network scenarios.

Mechanical intervention for reducing dust concentration in traditional rice mills.

Abstract: A huge number of workers are employed in traditional rice mills where they are potentially exposed to dust. In this study a dust collection system was developed to capture the airborne dust in the rice mill. The feeding and sieving section of the mill was identified as major dust creating zone. The dust was captured by creating suitable air stream at feeding and sieving sections of the mill and collected in cyclone dust collector. The air stream was created by blower which was selected on the basis to get minimum air speed of 0.5 m/s in the working zones of workers. It was observed that the developed system is successfully collects the significant amount of dust and able to reduce the dust concentration up to 58%. Further, the respirable dust concentration reduced to below 5 mg/m(3) throughout the mill which is within the recommended limit of dust exposure.

Software for performance prediction and matching of tractor-implement system

Abstract: The matching of tractor-implement system is very difficult task in India because variety of tractor models ranging from 10 to 45kW is prevalent here. To overcome the problem of matching tractor-implement system, a decision support system (DSS) was developed in Visual Basic 6.0 programming language for 2-wheel drive (2WD) tractors. The DSS provides intuitive user interfaces by linking databases such as tractor parameters, tire and implement specifications, soil and operating conditions to support the decision for selection of tractor-implement system. DSS was validated for three different implements (2×30cm moldboard plow; 9–23cm field cultivator and 7–7 offset disc harrow (1.6m)). DSS which calculates draft, drawbar power, slip, tractive efficiency, coefficient of rolling resistance, coefficient of net traction, PTO power required, power utilization efficiency, specific fuel consumption based etc. on input data, can be used effectively in matching of tractor-implement system of various makes and models commercially available in India.

Dry and wet spell probability by Markov chain model- a case study of North Lakhimpur (Assam), India

Abstract: For the purpose of crop planning and to carry out the agricultural practices, it is important to know the sequence of dry and wet periods. The present study was undertaken with the objectives to forecast dry and wet spell analysis using Markov chain model and also to find out the exact time of onset and termination of monsoon at study area for North Lakhimpur (Assam), India using weekly rainfall data for a period of 24 years. The results indicated that probability of occurrence of dry week is higher from week 1st to 14th and also from week 41st to 52nd. The range of probability of occurrence of dry week in these weeks varies from 41.67% to 100%. Probability of occurrence of wet week is higher from week 17th to 40th. The range of probability of wet week in these weeks varies from 66.67% to 100%. Week 1st to 4th and 43rd to 52nd of the year remains under stress on an average, as there are 50% to 95.83% chances of occurrence of two consecutive dry weeks. The analysis showed that monsoon starts effectively from week 23rd (4th June to 10th June) in North Lakhimpur. The week 25th (18th June to 24th June) is ideal time for initiation of wet land preparation for growing short duration rice variety. Pre-monsoon effectively starts from week 14th (2nd April to 8th April). On week 14th sowing of summer maize (rain fed) may be done. Week 15th (9th April to 15th April) is ideal time for initiation of wet land preparation for growing long duration rice variety. Keywords: forecast, probability, dry and wet spell, Markov chain model, onset and withdrawal of monsoon DOI: 10.3965/j.ijabe.20140706.002 Citation: Dabral P P, Purkayastha K, Aram M. Dry and wet spell probability by Markov chain model- a case study of North Lakhimpur (Assam), India. Int J Agric & Biol Eng, 2014; 7(6): 8－13.