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ARCHITECTURAL ANALYSIS OF CONTEXT-AWARE SYSTEMS IN PERVASIVE COMPUTING ENVIRONMENT
Divya Udayan J,HyungSeok Kim 한국HCI학회 2012 한국HCI학회 학술대회 Vol.2012 No.1
Context aware system are those systems that are aware about the environment and perform productive functions automatically by reducing human computer interaction(HCI). In this paper, we present common architecture principles of context-aware systems to explain the important aspects common to most context aware architectures. We introduce various existing context aware architectures and have compared those architectures based on the design principles and have done an analyses on the different elements in the context aware computing based on the presented system. We also propose a new architecture based on broker-centric middleware and using ontology reasoning mechanism together with an effective behavior based context agent that would be suitable for the design of context-aware architectures in future systems.
Punica Granatum Fibers as Potential Reinforcement of Composite Structures
Divya Zindani,Santosh Kumar,Saikat Ranjan Maity,Sumit Bhowmik 한국섬유공학회 2020 Fibers and polymers Vol.21 No.7
In the present work, punica granatum (Punica granatum L) straw discarded from the punica granatum cultivationhas been explored for potential reinforcement to form green polymeric composites. To adjust the lignin content, the punicagranatum straw fibers (PGF) were dissolved in an aqueous solution of sodium bicarbonate (10 %w/w) for different duration(1 day, 5 days and 10 days) at room temperature. The statistical parmeter associated with the fiber morphology wasdetermined for different fiber conditions. The relationship between tensile properties and fiber transverse dimensions wasinvestigated through mathematical model. Moreover, the bio-epoxy composites reinforced with punica granatum straw fiberswere fabricated and characterized for static mechanical properties. The optimal composite composition was determined usingTOmada de Decisao Interativa Multicriterio (TODIM) methodology. PGF-5D reinforced green composite with 30 wt% fiberloading was identified as the optimal composition. Finally, micromechanics evaluation was carried out to quantify the criticalparameters playing a major role in controlling the structural-property relationships of the fabricated composites.
Divya Achari,Padmeshwary Rachipudi,Satishkumar Naik,Ramesh Karuppannan,Mahadevappa Kariduraganvar 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.78 No.-
Chitosan-based polyelectrolyte complex membranes (PECMs) were developed by incorporatingpolystyrene sulfonic acid-co-maleic acid (PSSAMA) in the chitosan membrane matrix as a pervaporationmembrane by employing a solution technique. Fourier transform infrared (FTIR) spectroscopy, wideangleX-ray diffraction (WAXD), thermogravimetry analysis (TGA), differential scanning calorimetry(DSC), and scanning electron microscopy (SEM) were used to characterize the membranes. PECMs weretested for their potentiality to separate various azeotropic mixtures; water/ter-butanol, water/isopropanol, water/n-propanol and water/1, 4 dioxane at their azeotropic point. The PECMs containing9 mass% of PSSAMA manifest highest separation selectivity of 5352 with aflux of 4.145 10 2 kg /m2 h forthe azeotropic mixture of water/ter-butanol at 30 C. To confirm their stability at the higher temperature,the PECMs were assessed for pervaporation (PV) separation at 40, 50 and 60 C. For all PECMs totalfluxandflux of water appeared to be coinciding each other, signifying that PECMs could be used successfullyto break the azeotropic point of various azeotropic mixtures. The Arrhenius activation parameters weredetermined by diffusion and permeation values. The activation energy values procured for waterpermeation (Epw) were considerably lower than ter-butanol permeation (EpTBOH). The heat of sorption(DHs) values obtained for PECMs were negative, showing that Langmuir’s mode of sorption is dominant.
Divya Rana,Ruchika Sharma,Anoop Kumar 경희대학교 융합한의과학연구소 2018 Oriental Pharmacy and Experimental Medicine Vol.18 No.4
Cataract is visual impairment which arises due to disturbance of lens transparency due to aggregation of the protein. Currently, surgery is the only choice for the treatment of cataract. Thus, there is a need for new drugs in the prevention of cataract. In the current investigation, we have checked the potential of hydrocortisone, deoxycorticosterone and dexamethasone against cataract by using in silico and in vitro studies. The structure of a desired target (aldose reductase) has been selected and extracted from Protein Data Bank (http://www.rcsb.org/pdb). The structures of various ligands (hydrocortisone, deoxycorticosterone and dexamethasone) have been drawn by using Chem Draw Ultra 12.0 software. The docking was performed in a Mole Gro Virtual Docker version 6.0. The cataract was induced by using glucose under in vitro conditions and anticataract potential of selected drugs have been analysed by assessing various biochemical parameters. In silico studies have revealed that hydrocortisone, deoxycorticosterone and dexamethasone have good binding interaction with aldose reductase. Further, in vitro studies have been shown the anti-cataract potential of steroidal drugs. The oxidative stress induced by glucose was decreased more significantly in the lens treated with dexamethasone as compared to deoxycorticosterone and hydrocortisone. Further, the protein level was significantly increased after treatment with dexamethasone which indicates its more anti-cataract potential as compared to deoxycorticosterone and hydrocortisone. In conclusion, dexamethasone has potential to prevent the cataract as compared to hydrocortisone and deoxycorticosterone. However, further studies are needed to confirm its complete role as anti-cataract drug.
A Comparative Analysis of Adaptive IIR Filtering Techniques using LabVIEW
Divya Sharma,Rashpinder Kaur,Gurjinder Singh 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.8
Removal of noises from real-time speech signal is a typical problem. The signal interference initiated by background noise is a major problem in voice communication systems. Adaptive Filtering methods have emerged as an important technology for communication systems. This technique has been employed to improve the quality of the speech signal by cancelling the undesirable phenomenon such as acoustic noise. In this paper, for the removal of additional noise from speech signal an adaptive filter has been designed using LMS, NLMS, SLMS and VSS-LMS algorithms. This paper presents the instigation of Least Mean Square algorithm (LMS), Normalized Least Mean Square algorithm (NLMS), Sign Least mean square algorithm (SLMS) and Variable step size (VSS) algorithm on an infinite impulse response (IIR) filter using adaptive filter toolkit of LabVIEW software. User interface is designed using LabVIEW to obtain the learning curves for these adaptive algorithms. The final results show the comparison of the performance of the entire proposed algorithms with each other. The complete performance of the designed system in terms of stability and convergence rate has been observed.