• Korean Journal of Materials Research
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• v.12 no.11
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• pp.875-879
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• 2002

$Pb_{1-x}$ $Cd_{x}$ $I_2$ (x=0.0, 0.2, 0.5, 0.7, 0.9, 1.0) single crystals were grown by using Bridgman method and their structural and optical properties were investigated from the measurement of X-ray diffraction, optical absorption and photoluminescence. As-grown single crystals have hexagonal closed packed layered structure. The values of lattice constant c decrease with increasing composition x. Direct and indirect transition optical energy band gaps are calculated from optical absorption spectra measured at room temperature. They increase exponentially from 2.3eV to 3.2 eV with increasing composition x. The energies of photoluminescence peak due to donor bound exciton measured at 6K increase with increasing composition . However, the peak energies of donor-acceptor pair (DAP) are independent of the optical energy band gaps of $Pb_{1-x}$/$Cd_{x}$ $I_2$ single crystals.

• Progress in Medical Physics
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• v.27 no.3
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• pp.105-110
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• 2016

Sparse angular sampling has been studied recently owing to its potential to decrease the radiation exposure from computed tomography (CT). In this study, we investigated the analytic reconstruction algorithm in sparse angular sampling using the sinogram interpolation method for improving image quality and computation speed. A prototype of the spectral CT system, which has a 64-pixel Cadmium Zinc Telluride (CZT)-based photon-counting detector, was used. The source-to-detector distance and the source-to-center of rotation distance were 1,200 and 1,015 mm, respectively. Two energy bins (23~33 keV and 34~44 keV) were set to obtain two reconstruction images. We used a PMMA phantom with height and radius of 50.0 mm and 17.5 mm, respectively. The phantom contained iodine, gadolinium, calcification, and lipid. The Feld-kamp-Davis-Kress (FDK) with the sinogram interpolation method and Maximum Likelihood Expectation Maximization (MLEM) algorithm were used to reconstruct the images. We evaluated the signal-to-noise ratio (SNR) of the materials. The SNRs of iodine, calcification, and liquid lipid were increased by 167.03%, 157.93%, and 41.77%, respectively, with the 23~33 keV energy bin using the sinogram interpolation method. The SNRs of iodine, calcification, and liquid state lipid were also increased by 107.01%, 13.58%, and 27.39%, respectively, with the 34~44 keV energy bin using the sinogram interpolation method. Although the FDK algorithm with the sinogram interpolation did not produce better results than the MLEM algorithm, it did result in comparable image quality to that of the MLEM algorithm. We believe that the sinogram interpolation method can be applied in various reconstruction studies using the analytic reconstruction algorithm. Therefore, the sinogram interpolation method can improve the image quality in sparse-angular sampling and be applied to CT applications.

• Journal of the Korean Wood Science and Technology
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• v.35 no.4
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• pp.29-37
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• 2007

To evaluate the effect of carbonization temperature of charcoal on the heavy metal adsorption property, Quercus mongolica wood and Larix kaempferi bark powder (100~60 mesh) were carbonized at between 400 and $900^{\circ}C$ at intervals of $100^{\circ}C$. In the properties of carbonized materials which affect the adsorption ability, pH increased with increasing the carbonization temperature, so that the pHs of wood and bark charcoal carbonized at $900^{\circ}C$ were 10.8 and 10.4, respectively. Also, in both materials, the carbon content ratio became larger as the carbonization temperature was raised. At the same carbonization temperature, carbon content ratio of the bark charcoal tended to be greater than that of the wood charcoal. In case of iodine adsorption which indicates the adsorption property in liquid phase, the wood charcoal showed higher adsorption value than the bark charcoal. From the investigation of adsorptive elimination properties of the charcoals against 15 ppm Cd, Zn, and Cu, the higher the carbonization temperature, the greater elimination ratio was. In comparison, the wood charcoal presented higher elimination ratio than that of the bark charcoal. In the wood charcoals carbonized at higher than $500^{\circ}C$, especially, 0.2 g of the charcoal was enough to eliminated almost 100% of the heavy metal ions. Heavy metal ion elimination ratio of the charcoals depended on the kinds of adsorbates. The effectiveness of adsorbates in adsorptive elimination by the charcoals were in order of Cu > Cd > Zn. This is because the physicochemical interaction between the adsorbate and adsorbent affects their adsorption properties, it is considered that subsequent researches are needed to improve the effectiveness of heavy metal adsorption by the charcoals.