The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...

sensor networks generally consist of a very great number of sensor nodes which will be spread into a vast environment and aggregate data out of it. the sensor nodes are afflicted with some limitations as follows memory, reception, communication as well as calculation capability, and battery power. the transmission of a great amount of extra data increases data transmission and proportionally in...

background: gliomas are the most frequently observed primary brain tumors. these tumors comprise a variety of different histological tumor types and malignancy grades. oligodendrogliomas typically contain a rich network of branching capillaries. approximately 50%-80% of oligodendrogliomas demonstrate a combined loss of chromosomes 1p and 19q. oligodendrogliomas differ from neurocytomas in that ...

the main purpose of this article is to present a clear picture of social bordering of urban space in mashhad and to identify the socio-spatial hierarchy in this city. 17510 resident householders were selected through stratified sampling and they were interviewed. the hierarchical clustering analysis was used to analyze the data, based on three social basic characteristics including occupational...

in a strapdown magnetic compass, heading angle is estimated using the earth's magnetic field measured by three-axis magnetometers (tam). however, due to several inevitable errors in the magnetic system, such as sensitivity errors, non-orthogonal and misalignment errors, hard iron and soft iron errors, measurement noises and local magnetic fields, there are large error between the magnetometers'...

Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...

This study explored the mechanism mediating the aggregation of membrane NADPH oxidase (NOX) subunits and subsequent activation of this enzyme in bovine coronary arterial endothelial cells (CAECs). With confocal microscopy, we found that FasL stimulated lipid rafts (LRs) clustering with NOX subunit aggregation and acid sphingomyelinase (ASM) gathering, which was blocked by the siRNA of sortilin,...