Luminescence and microstructure of Sr2Mg(BO3)2 doped with Eu

Sr₂Mg(B0₃)₂ doped with Eu was synthesized respectively in air and weak reducing atmosphere (combustion of carbon particle), whose photoluminescence characteristics and structure were also studied at room-temperature. In air, the fluorescent body's color was white for different synthesized temperatures. At room temperature, the sample was excited and showed red typical emission spectrum of Eu³⁺ whose emission apex were sharp near 612 nm and emission spect~m was made up of the charge transformation band (CTB) of Eu^{3 +} and excitation spectrum of 4f→4f high energy level transition, then reached the area of VUV. However, under reducing atmosphere (combustion of carbon particles), the color of the sample yielded was yellow, whose color became deeper with increasing temperature and showed phase transition. Using UV excitation, the luminescence of yellow sample was very weak. In a complicated broad spectrum at visible light area, the red emission spectrum of Eu²⁺ was not observed. Crystal structure and luminescence of the sample were completely different from the results of Diaz and Keszler. Two samples were prepared under oxidation and reducing atmosphere at high temperature, which were different on crystal structure and microstructure. By studying Sr₂Mg(B0₃)₂:Eu³⁺ a series of directional faults or educts were found, because Eu^{3 +} ions substituted for Sr^{2 +} ions. However, microstructure of Sr₂Mg(B0₃ )₂: Eu^{2 +} is more complicated, whose excitation spectrum might be excited by Eu^{2 +}. By XRD patten of the samples, phase transitibn could be found. Twins and clusters that were formed from point defect such as interstitial atom and big angle crystal boundary could be found by TEM.

2. Scanning and processing 3D objects for web display

We present a case study of scanning 3D objects for the purposes of education and public information. We begin by describing the original design of a 3D scanning system now in use in Cairo’s Egyptian Museum. The system captures both the geometry and surface color and detail of museum artifacts. We report on the experience using the system in the museum setting, and how practical problems with the system were addressed. We present samples of how the processed 3D data will be used on a web site designed to communicate Egyptian culture.We present a case study of scanning 3D objects for the purposes of education and public information. We begin by describing the original design of a 3D scanning system now in use in Cairo’s Egyptian Museum. The system captures both the geometry and surface color and detail of museum artifacts. We report on the experience using the system in the museum setting, and how practical problems with the system were addressed. We present samples of how the processed 3D data will be used on a web site designed to communicate Egyptian culture.

A new color space based on K-medoids clustering for fire detection

Pixel color has proven to be a useful and robust cue for detection of most objects of interest like fire. In this paper, a hybrid intelligent algorithm is proposed to detect fire pixels in the background of an image. The proposed algorithm is introduced by the combination of a computational search method based on a swarm intelligence technique and the Kemdoids clustering method in order to form a Fire-based Color Space (FCS), in fact, the new technique converts RGB color system to FCS through a 3*3 matrix. This algorithm consists of five main stages:(1) extracting fire and non-fire pixels manually from the original image. (2) using K-medoids clustering to find a Cost function to minimize the error value. (3) applying Particle Swarm Optimization (PSO) to search and find the best W components in order to minimize the fitness function. (4) reporting the best matrix including feature weights, and utilizing this matrix to convert the all original images in the database to the new color space. (5) using Otsu threshold technique to binarize the final images. As compared with some state-of-the-art techniques, the experimental results show the ability and efficiency of the new method to detect fire pixels in color images.