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Effect of Physical Parameterization Schemes on Track and Intensity of Cyclone LAILA Using WRF Model
Radhika D. Kanase,P. S. Salvekar 한국기상학회 2015 Asia-Pacific Journal of Atmospheric Sciences Vol.51 No.3
The objective of the present study is to investigate in detail the sensitivity of cumulus parameterization (CP), planetary boundary layer (PBL) parameterization, microphysics parameterization (MP) on the numerical simulation of severe cyclone LAILA over Bay of Bengal using Weather Research & Forecasting (WRF) model. The initial and boundary conditions are supplied from GFS data of 1o × 1o resolution and the model is integrated in three ‘twoway’ interactive nested domains at resolutions of 60 km, 20 km and 6.6 km. Total three sets of experiments are performed. First set of experiments include sensitivity of Cumulus Parameterization (CP) schemes, while second and third set of experiments is carried out to check the sensitivity of different PBL and Microphysics Parameterization (MP) schemes. The fourth set contains initial condition sensitivity experiments. For first three sets of experiments, 0000 UTC 17 May 2010 is used as initial condition. In CP sensitivity experiments, the track and intensity is well simulated by BettsMiller-Janjic (BMJ) schemes. The track and intensity of LAILA is very sensitive to the representation of large scale environmental flow in CP scheme as well as to the initial vertical wind shear values. The intensity of the cyclone is well simulated by YSU scheme and it depends upon the mixing treatment in and above PBL. Concentration of frozen hydrometeors, such as graupel in WSM6 MP scheme and latent heat released during auto conversion of hydrometeors may be responsible for storm intensity. An additional set of experiments with different initial vortex intensity shows that, small differences in the initial wind fields have profound impact on both track and intensity of the cyclone. The representation of the mid-tropospheric heating in WSM6 is mainly controlled by amount of graupel hydrometeor and thus might be one of the possible causes in modulating the storm’s intensity.
EXISTENCE AND CONTROLLABILITY OF MILD SOLUTION OF IMPULSIVE INTEGRO-DIFFERENTIAL INCLUSIONS
S. D. Kadam,Surendranath Reddy,Radhika Menon,R. S. Jain 경남대학교 수학교육과 2020 Nonlinear Functional Analysis and Applications Vol.25 No.4
In this work, existence results for impulsive integro-differential inclusion by us-ing Martelli and Covitz-Nadler xed point theorems (FPT) has been studied and proposedimprovement for some of the results with the help of impulsive inequality. Also controllabil-ity results has been investigated for impulsive integro-dierential inclusion problems. This study will provide useful insights for design problems in engineering leading to controllability solutions of Integro dierential equation subjected to impulsive perturbations taking intoconsideration of nonlocal and delay conditions.
Expression, Purification, and Characterisation of Nesiritide Using an E. coli Expression System
Laxmi S. Rao,Milind P. Niphadkar,Dinesh Paliwal,Rakesh Shekhawat,Aruna G. Khare,S. Uma,Priti Thakur,Anjali Chutke,Neelesh Surlikar,Radhika Samant,Sagar Zawar 한국생물공학회 2011 Biotechnology and Bioprocess Engineering Vol.16 No.4
Nesiritide, the recombinant human brain natriuretic peptide, is involved in the regulation of cardiovascular homeostasis and has been approved for treatment of patients with congestive heart failure. We prepared a synthetic cDNA construct of Nesiritide to generate a fusion protein with an affinity handle and 41 amino acid peptide of β-galactosidase. The fusion protein was expressed mainly in the inclusion bodies and accounted for approximately 20% of total cellular protein. After purification by Ni-IDA affinity chromatography and renaturation, the fusion protein was cleaved with purified recombinant enterokinase. Nesiritide was purified by pH precipitation/ion exchange chromatography followed by source phenyl chromatography to obtain protein with > 99% purity (determined by RPHPLC)and a mass of 3,464 Daltons. The potency (ED_(50))of the purified protein was equivalent to that of Natrecor (Innovator formulation). Analytical methods were developed to identify oxidised, reduced and other related impurities. The expression strategy described in this work allows the convenient generation of high yield Nesiritide and enabled ease of purification.
Security, Vulnerability and Protection of Vehicular On-board Diagnostics
Aastha Yadav,Gaurav Bose,Radhika Bhange,Karan Kapoor,N.Ch.S.N Iyengar,Ronnie D. Caytiles 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.4
Recent studies have shown that ‘’hacktivists’’ can mount serious attacks on automobiles. The automotive On-Board Diagnostic (OBD) interface enables an efficient way to access information of the in-vehicle electronic system and leaves way for unauthorized access by an intruder. We discover that remote exploitation is feasible via a broad range of attack points such as mechanic tools, CD players, Bluetooth and Tire Pressure Monitoring System. Wireless communications channels allow long distance vehicle control. Finally, the paper discusses the drawbacks of Seed-Key Mechanism to authenticate and provide an extra layer of authentication to help build a safer automotive ecosystem.
D. Bala Subrahamanyam,S. Indira Rani,Radhika Ramachandran,P. K. Kunhikrishnan 한국해양과학기술원 2008 Ocean science journal Vol.43 No.4
In this article, we describe a simple yet effective method for insertion of observational datasets in a mesoscale atmospheric model used in one-dimensional configuration through Nudging. To demonstrate the effectiveness of this technique, vertical profiles of meteorological parameters obtained from GLASS Sonde launches from a tiny island of Kaashidhoo in the Republic of Maldives are injected in a mesoscale atmospheric model - Advanced Regional Prediction System (ARPS), and model simulated parameters are compared with the available observational datasets. Analysis of one-time nudging in the model simulations over Kaashidhoo show that incorporation of this technique reasonably improves the model simulations within a time domain of +6 to +12 Hrs, while its impact on +18 Hrs simulations and beyond becomes literally null. In this article, we describe a simple yet effective method for insertion of observational datasets in a mesoscale atmospheric model used in one-dimensional configuration through Nudging. To demonstrate the effectiveness of this technique, vertical profiles of meteorological parameters obtained from GLASS Sonde launches from a tiny island of Kaashidhoo in the Republic of Maldives are injected in a mesoscale atmospheric model - Advanced Regional Prediction System (ARPS), and model simulated parameters are compared with the available observational datasets. Analysis of one-time nudging in the model simulations over Kaashidhoo show that incorporation of this technique reasonably improves the model simulations within a time domain of +6 to +12 Hrs, while its impact on +18 Hrs simulations and beyond becomes literally null.
Optimized Genetic Algorithm (OGA) for Homogeneous WSNs
Tripti Sharma,G. S Tomar,Radhika Gandhi,Srishti Taneja,Kiran Agrawal 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.4
A wireless sensor network (WSN) is a network consisting of wireless computing devices called sensors that sense environmental conditions like motion, sound, etc in an area. These networks collect the information from the environment and send it to the sink node. The main constraint in these networks is the energy of the nodes. As these sensors have limited battery life, routing protocol should be designed appropriately so that minimal energy is used. Long communication distances between the sensors and the sink in the WSN drain the energy of the sensors and reduce the lifetime of the network. Clustering reduces energy consumption. By clustering a sensor network we can help minimize the total communication distance, thus increasing the network lifetime. In this paper, we an algorithm based on LEACH (Low Energy Adaptive Clustering Hierarchy protocol) using genetic algorithm has been proposed in order to achieve increased lifetime of the network and energy efficiency in WSN. The genetic algorithm is used to select the cluster heads for the WSN and hence create the energy efficient clusters for transmission of data in the wireless sensor network. The fitness function proposed in this algorithm considers both the distance of the nodes from the sink and their energies. The simulation results show that the proposed protocol results in prolonged network lifetime and optimal energy consumption of the wireless sensor network.
Subrahamanyam, D. Bala,Rani, S. Indira,Ramachandran, Radhika,Kunhikrishnan, P. K. The Korean Society of Oceanography 2008 Ocean science journal Vol.43 No.4
In this article, we describe a simple yet effective method for insertion of observational datasets in a mesoscale atmospheric model used in one-dimensional configuration through Nudging. To demonstrate the effectiveness of this technique, vertical profiles of meteorological parameters obtained from GLASS Sonde launches from a tiny island of Kaashidhoo in the Republic of Maldives are injected in a mesoscale atmospheric model - Advanced Regional Prediction System (ARPS), and model simulated parameters are compared with the available observational datasets. Analysis of one-time nudging in the model simulations over Kaashidhoo show that incorporation of this technique reasonably improves the model simulations within a time domain of +6 to +12 Hrs, while its impact on +18 Hrs simulations and beyond becomes literally null.