The use of remote sensing data for drought assessment and monitoring in southwest Asia

Drought / Monitoring / Indicators / Assessment / Remote sensing / Asia

Software reuse in a paralysis dataset based on categorical clustering and the Pearson distribution

AbstractSoftware reuse is the process of building software applications that make use of formerly developed software components. In this paper, we explain the benefits that can be obtained from using statistical procedures for prescribing medicines, especially in rural areas, which have limited resources available on hand. It should be noted that although the expert systems were successful in research, they never dominated the market when actual patient treatment was considered. The proposed methodology is compared with the categorical clustering technique. The Fenton and Melton Coupling Metric is considered for the evaluation of the statistic model. The reliability of this methodology is also considered

Heat and Mass Transfer Effects of Peristaltic Transport of a Nano Fluid in Peripheral layer

This paper deals with a theoretical investigation of heat and mass transfer effects of peristaltic transport of a nanofluid in peripheral layer. By using appropriate methods, the velocity in the core region as well as in the peripheral region, pressure drop, time averaged flux, frictional force, temperature profile, nanoparticle phenomenon, heat transfer coefficient and mass transfer coefficient of the fluid are investigated, using lubrication theory. Effects of different physical parameters like viscosity ratio, mean radius of the central layer, Brownian motion parameter, thermophoresis parameter, local temperature Grashof number as well as local nanoparticle Grashof number on pressure rise characteristics, frictional force, heat transfer coefficient, mass transfer coefficient, velocity profiles and streamline patterns of the fluid are studied. The computational results are presented in graphical form

ESAHR: Energy Efficient Swarm Adaptive Hybrid Routing Topology for Mobile Ad hoc Networks

Ad hoc networks consist of independent self structured nodes. Nodes use a wireless medium for exchange their message or data, therefore two nodes can converse directly if and only if they are within each other2019;s broadcast range. Swarm intelligence submits to complex behaviors that occur from very effortless individual activities and exchanges, which is frequently experienced in nature, especially amongst social insects such as ants. Although each individual (an ant) has little intelligence and simply follows basic rules using local information gained from the surroundings, for instance ant2019;s pheromone track arranging and following activities, globally optimized activities, such as discovering a shortest route, appear when they work together as a group. In this regard in our earlier work we proposed a biologically inspired metaphor based routing in mobile ad hoc networks that referred as Swarm Adaptive Hybrid Routing (SAHR). . With the motivation gained from SAHR, here in this paper we propose a energy efficient swarm adaptive hybrid routing topology (ESAHR). The goal is to improve transmission performance along with energy conservation that used for packet transmission In this paper we use our earlier proposed algorithm that inspired from Swarm Intelligence to obtain these characteristics. In an extensive set of simulation tests, we evaluate our routing algorithm with state-of-the-art algorithm, and demonstrate that it gets better performance over a wide range of diverse scenarios and for a number of different assessment measures. In particular, we show that it scales better in energy conservation with the number of nodes in the network

Software Reuse in Cardiology Related Medical Database Using K-Means Clustering Technique

Software technology based on reuse is identified as a process of designing software for the reuse purpose. The software reuse is a process in which the existing software is used to build new software. A metric is a quantitative indicator of an attribute of an item or thing. Reusability is the likelihood for a segment of source code that can be used again to add new functionalities with slight or no modification. A lot of research has been projected using reusability in reducing code, domain, requirements, design etc., but very little work is reported using software reuse in medical domain. An attempt is made to bridge the gap in this direction, using the concepts of clustering and classifying the data based on the distance measures. In this paper cardiologic database is considered for study. The developed model will be useful for Doctors or Paramedics to find out the patients level in the cardiologic disease, deduce the medicines required in seconds and propose them to the patient. In order to measure the reusability K means clustering algorithm is used.Comment: 5 pages. arXiv admin note: text overlap with arXiv:1212.031

Finding Frequent Text-Patterns on Big Data using Visualisation Techniques

Big Data has got more importance in various industries over the last couple of years, which is applied on various huge and large data sets because it cannot be stored and process through traditional databases. Big data has huge potential to store and process such huge and large datasets in several ways because, during processing, we are analyzing the large datasets in required time. Text analysis is still somewhat in its infancy but is very promising. Because in most of the companies 80% of data is in unstructured form, while most types of analysis only work with structured data. In this paper, we are discussing some visualization techniques available for Big data. Finally, R package is used to analyze unstructured text because R is freely available and it comes with lots of free packages and powerful tools through which we can easily analyze the large data sets in a sufficient time

Iodine nutrition and its assessment during pregnancy: a need for concern

Micro nutrient iodine was essential in biosynthesis of thyroid hormones (TH). These hormones play a vital role in the growth and development of human beings at various stages of life. TH are required for normal brain development at embryonic, fetal and at past natal stages. If deficiency of iodine occurs then thyroid hormone production was impaired, if deficiency of TH occurs it can cause irreversible damage of brain which leads to various disorders like metal retarded ness, cretinism and goiter known as iodine deficiency disorders (IDD). When compared to normal adults, pregnant women and school children 5-12 years age are more vulnerable IDD. Due to the physiological variations during pregnancy iodine requirements rose significantly from 150 µg/day in non-pregnant adult women to 250 μg/day. However recent iodine nutrition studies showed adequate iodine status but few countries like Sweden and South Africa showed iodine deficiency. This review gives an over view on iodine nutrition on global front

Case Report of Fibrodysplasia Ossificans Progressiva

Fibrodysplasia ossificans progressiva is a rare genetic disease characterized by widespread soft tissue ossification and congenital stigmata of the extremities. We report a male patient who had bilateral hallux valgus since birth. Other noticed anomalies included multiple swellings over the back, stiffness of lower back area, multiple joints, restricting movement of spine, shoulders, elbows, and right hip and right knee. Patient was not able to bend forward, squat or turn head to either side. Patient also had multiple foci of ossification developed over left knee, and back region. All swellings and restrictions were painless