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Policy for planned placement of sensor nodes in large scale wireless sensor network
( Sharma Vikrant ),( Patel R. B ),( Bhadauria H S ),( Prasad D ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.7
Sensor node (SN) is a crucial part in any remote monitoring system. It is a device designed to monitor the particular changes taking place in its environs. Wireless sensor network (WSN) is a system formed by the set of wirelessly connected SNs placed at different geographical locations within a target region. Precise placement of SNs is appreciated, as it affects the efficiency and effectiveness of any WSN. The manual placement of SNs is only feasible for small scale regions. The task of SN placement becomes tedious, when the size of a target region is extremely large and manually unreachable. In this research article, an automated mechanism for fast and precise deployment of SNs in a large scale target region has been proposed. It uses an assembly of rotating cannons to launch the SNs from a moving carrier helicopter. The entire system is synchronized such that the launched SNs accurately land on the pre-computed desired locations (DLs). Simulation results show that the proposed model offers a simple, time efficient and effective technique to place SNs in a large scale target region.
Biodegradation of toluene vapor by evaporative cooler model based biofilter
Vikrant, Kumar,Nagar, Harshil,Anand, Raja,Sharma, Anjney,Lee, Sang-Hun,Giri, Balendu Shekher,Kim, Ki-Hyun,Singh, Ram Sharan The Korean Society of Analytical Science 2018 분석과학 Vol.31 No.2
The biodegradation of toluene vapor was investigated using a new type of biofilter equipped with a laboratory-scale evaporative cooler model packed with wood wool fibers (area: $360cm^2$). For the purpose of this study, the biofilter system was inoculated with Pseudomonas sp. RSST (MG 279053). The performance of this biofilter, assessed in terms of toluene removal efficiency (and elimination capacity), was as high as 99 % at a loading rate of $6g/h{\cdot}m^2$. The toluene removal efficiency decreased in an exponential manner with the increase in the loading rate. The cooler model-based biofilter was able to remove more than 99 % of toluene using Pseudomonas sp. RSST (MG 279053) as an effective inoculum. This biofilter is designed to operate under batch conditions for the removal of toluene in confined environments (e.g., automotive plants, boiler rooms in manufacturing facilities, and offshore drilling platforms).
Anamika Sharma,Vikrant Nain,Rameshwar Tiwari,Surender Singh,Anurup Adak,Pawan Kumar Singh Nain,Lata Nain 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.3
The present investigation was aimed towards pretreatment optimization of corncob to maximize cellulose and hemicellulose recovery, followed by substrate selection for holocellulase production using psychrotolerant Aspergillus niger SH3. Dilute alkali pretreatment (1.5% NaOH) resulted in higher recovery of cellulose (59.66%) and hemicellulose (28.34%) from corncob, while corn stover proved to be the best substrate for holocellulase production. Further, saccharification was optimized by Box-Behnken design to select the suitable conditions for maximum sugar release from pretreated corncob. The optimum conditions for maximum sugar release were 8% (w/v) substrate loading, 11 FPU/gds enzyme loading at temperature 38 oC and pH 3.0 which resulted in 114.5% higher sugar yield (912mg/gds of pretreated biomass) as compared with un-optimized conditions (425.35mg/gds). Theoretical yield of 48.8% ethanol was achieved through simultaneous saccharification and fermentation (SSF) using pretreated corncob. This study illustrates the potential of different corn residues as a promising substrate for bioethanol production.