NOPR Collection:

Localization of Sensors by Base Station in Wireless Sensor Networks

2018-02-01T09:53:51Z

Title: Localization of Sensors by Base Station in Wireless Sensor Networks Authors: Parwekar, P; Rodda, S Abstract: Sensors in a Wireless Sensor Network are typically deployed at random. In order to establish the network, the position of the sensors is required to be localized. Once this activity is complete, a routing algorithm is used to establish the network. Whilst many methods have been contemplated in the past, this paper presents a method to find the exact location of sensors using Received Signal Strength Indicator (RSSI) values coupled with triangulation techniques. Further, these computations can be undertaken by the base station thereby reducing considerable energy and computational overheads for an otherwise resource hungry wireless sensor network. Page(s): 83-86

Identification of Protein Coding Region in DNA Sequence Using Novel Adaptive Exon Predictor

2018-02-01T09:51:56Z

Title: Identification of Protein Coding Region in DNA Sequence Using Novel Adaptive Exon Predictor Authors: Putluri, S R; Rahman, Md Zia Ur Abstract: Accurately identifying the exon regions in a deoxyribonucleic acid (DNA) sequence is an important task in bio-informatics. Analysis of regions which code for proteins is a key phenomenon for disease identification and design drugs. Exons are DNA segments contain coding information of proteins. Particularly exons within the genes exhibit three base periodicity (TBP), which forms the basis of all exon identification techniques. Several exon identification techniques have been applied successfully for prediction of exons, but improvement is still needed in this direction. By applying signal processing methods, TBP can be easily determined. Adaptive signal processing techniques found to be promising because of their distinct ability of changing weight coefficients in comparison with several other methods. In this paper, a novel adaptive exon predictor (AEP) is proposed based on these considerations using normalization to increase the tracking ability of the adaptive algorithm for exons. Several AEPs are developed using LMS algorithm and its maximum normalized sign based variants to reduce the computational complexity. Hybrid variants of proposed AEPs include MDNLMS, MDNSRLMS, MDNSLMS and MDNSSLMS algorithms. It was shown that MDNSRLMS is more accurate in exon prediction based on performance measures with Sensitiviy (Sn) 0.7372, Specificity (Sp) 0.7573and Precision (Pr) 0.7122 at a threshold of 0.8 for genomic sequence with Accession AF009962. Finally the exon tracking ability of various AEPs has been assessed through a simulation study and results obtained are compared with existing method using various standard genomic datasets taken from the National Center for Biotechnology Information (NCBI) genomic sequence database. Page(s): 87-91

Enhancing the Abrasive Wear Resistance of Rotary Blade Material (AISI 30MnCrB4) by Cryogenic Treatment

2018-02-01T09:47:29Z

Title: Enhancing the Abrasive Wear Resistance of Rotary Blade Material (AISI 30MnCrB4) by Cryogenic Treatment Authors: Singh, T P; Singh, J; Singh, K Abstract: The present study investigates the abrasion wear behaviour of AISI 30MnCrB4 boron steel rotavator blades heat treated under conventional heat treatment (CHT) and deep cryogenic treatment (DCT) processes. For conventional heat treatment, the boron steel blades were oil quenched from 820˚C followed by tempering at 200˚C. However, the deep cryogenic treatment was carried out at -196˚C followed by the controlled heating at 2˚C/min to room temperature for a soaking time of 10 hours. The abrasion wear performance of the treated steels was carried out using dry sand rubber wheel (DSRW) test rig under different wear testing conditions using loam sand and sandy loam sand. The experimental results revealed that after deep cryogenic treatment the wear resistance of the boron steel is improved by 26.47 % and 24.07 % for loam sand and sandy loam sand respectively as compared to the conventionally heat treated steel. Page(s): 92-97

Sorption and Diffusion Phenomena in Pervaporative Dehydration of Acetic Acid through a PVA-PES Composite Membrane

2018-02-01T09:44:50Z

Title: Sorption and Diffusion Phenomena in Pervaporative Dehydration of Acetic Acid through a PVA-PES Composite Membrane Authors: Dave, H K; Nath, K Abstract: Dehydration of dilute acetic acid solution was carried out in a pervaporation pilot plant unit using commercial polyvinyl alcohol-polyethersulfone composite membrane. Membrane swelling coefficients obtained by dynamic swelling study were found to increase with increasing water concentration in the feed. For 10% (by volume) feed water concentration swelling coefficient of the membrane was 0.3053 which increased to 0.4919 at 90% feed water concentration. Pervaporation separation index (PSI) was found to decrease with increasing feed concentration whereas enrichment factor increased. For 10% feed water concentration acetic acid and water diffusion coefficients were estimated to be 1.8963 × 10⁻¹² and 11.843× 10⁻¹² m²/s respectively, which rose to 6.8732 × 10⁻¹² and 40.973 × 10⁻¹² m²/s respectively at 90% feed water concentration. The study indicates that in addition to the effect of differences in diffusivity for the permeating components, preferential sorption contributes to a major extent to selective transport in pervaporation. Page(s): 98-103