FogGIS: Fog Computing for Geospatial Big Data Analytics

Cloud Geographic Information Systems (GIS) has emerged as a tool for analysis, processing and transmission of geospatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client. This paper developed a Fog-based framework named Fog GIS for mining analytics from geospatial data. We built a prototype using Intel Edison, an embedded microprocessor. We validated the FogGIS by doing preliminary analysis. including compression, and overlay analysis. Results showed that Fog computing hold a great promise for analysis of geospatial data. We used several open source compression techniques for reducing the transmission to the cloud.Comment: 6 pages, 4 figures, 1 table, 3rd IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (09-11 December, 2016) Indian Institute of Technology (Banaras Hindu University) Varanasi, Indi

Persistence and Extinction of One-Prey and Two-Predators System

In this paper, a mathematical model is proposed and analysed to study the dynamics of one-prey two-predators system with ratio-dependent predators growth rate. Criteria for local stability, instability and global stability of the nonnegative equilibria are obtained. The permanent co-existence of the three species is also discussed. Finally, computer simulations are performed to investigate the dynamics of the system

Stability Constants of Some Transition Metal Complexes with Schiff Bases Derived from Salicylaldehyde & m-Aminophenol or m-Anisidine

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Evaluation of micronucleus frequency in oral exfoliated buccal mucosa cells of smokers and tobacco chewers: a comparative study

Background: Oral cancer is one of the tenth most common cancers in the world and constitutes the third most important group of malignancies in India. Majority of these cancers are diagnosed at an advanced stage resulting in poor prognosis and survival rates among patients. Hence early diagnosis of oral cancers seems to be the need of the hour. Analysis of exfoliated buccal cell micronuclei (MN) is a sensitive method of monitoring genetic damage. The present study aims to compare the frequency of micronucleus in tobacco chewers and smokers and thus evaluate the genotoxic potential of these habits.Methods: The study was conducted on 60 subjects, divided into 3 groups each of 20 subjects. Group 1: with history of chewing tobacco, group 2: with history of chewing tobacco and smoking, group 3: healthy subjects without any habits as controls. Oral exfoliated cells were obtained from buccal mucosa of the subjects, 2 slides were prepared from each subject stained with Giemsa and H&E stain respectively. Atleast 1000 cells were examined for each subject and micronuclei frequency was scored according to criteria of Tolbert et al.Results: The mean number of micronuclei was 18.5±9.5 in tobacco chewers, 19.1±9.2 in chewers with smoking habit and 8.2±5.6 in controls. Bonferroni multiple comparisons amongst these three groups showed the mean difference of micronuclei to be highly significant when chewers and chewers with smoking habit were compared to controls. Similarly based on the duration of addiction, a highly significant difference was noted in no. of micronucleated cells in subjects addicted to tobacco for more than 15 years.Conclusions: Tobacco can cause and increase the rate of nuclear anomalies in both smoking and smokeless forms. Thus oral mucosal micronuclei frequency can be used as a marker of epithelial carcinogenic progression.

Dynamics of Phytoplankton, Zooplankton and Fishery Resource Model

In this paper, a new mathematical model has been proposed and analyzed to study the interaction of phytoplankton- zooplankton-fish population in an aquatic environment with Holloing’s types II, III and IV functional responses. It is assumed that the growth rate of phytoplankton depends upon the constant level of nutrient and the fish population is harvested according to CPUE (catch per unit effort) hypothesis. Biological and bionomical equilibrium of the system has been investigated. Using Pontryagin’s Maximum Principal, the optimal harvesting policy is discussed. Chaotic nature and bifurcation analysis of the model system for a control parameter have been observed through a numerical simulation

Modelling the Dynamics of a Renewable Resource under Harvesting with Taxation as a Control Variable

The present paper describes a model of resource biomass and population with a non-linear catch rate function on resource biomass. The harvesting effort is assumed to be a dynamical variable. Tax on per unit harvested resource biomass is used as a tool to control exploitation of the resource. Pontryagin’s Maximum Principle is used to find the optimal control to maintain the resource biomass and population at an optimal level. A numerical simulation is also carried out to support the analytical results

Preformulation study of Levofloxacin

oai:ojs.pkp.sfu.ca:article/1398Levofloxacin is the L-isomer of the racemate ofloxacin, a quinolone antimicrobial agent. Chemically levofloxacin, a chiral fluorinated carboxyquinolone, is the pure (S)-enantiomer of the racemic drug substance Ofloxacin.Preformulation studies are needed to ensure the development of a stable as well as therapeutically effective and safe dosage form. The Preformulation studies, performed in this research include identification of drug, solubility analysis, partition coefficient and drug compatibility.In present work complete preformulation study was carried out, which include identification of drug, quantitative estimation of drug, solubility determination, melting point determination,partition coefficient determination etc