• Proceedings of the Korean Radioactive Waste Society Conference
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• 2006.06a
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• pp.236-237
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• 2006

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2006.06a
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• pp.238-239
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• 2006

• Korean Journal of Optics and Photonics
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• v.12 no.1
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• pp.40-47
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• 2001

The structural dependence of the performance of an 1.55 $1.55{\mu}m$ InGaAsPIInGaAsP MQW electro-absorption modulator for highspeed digital fiber communication was systematically investigated. The effects of n-doped SCH region length $t_n$ as well as the general structure parameters including quantum well number $N_w$, well-thickness $t_w$, detuning wavelength $\Delta\lambda$, and device length L were thoroughly analyzed. Thereby, a high-pelfoIDlance electro-absorption modulator with device length L of $100{\mu}m$ was successfully designed. The designed structure showed excellent characteristics that have residual loss less than -1.5 dB, operational voltage from 0 V to -2V, and extinction ratios of -2.92 dB at $V_{\alpha}$=-1 V and -10 dB at $V_{\alpha}$=-2V.X>=-2V.

• Journal of Korean Association for Spatial Structures
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• v.10 no.1
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• pp.75-84
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• 2010

According to the available study and experimental data about the long term behavior of CFT(Concrete Filled Tube) columns, the creep and of concrete in CFT columns are smaller than those of RC columns because of the confinement effect of outer steel columns. In this study, the uncertainties associated with assumed values for concrete properties such as strength, creep coefficients, and service load have been considered and analyzed for the prediction of time-dependent column shortening of CFT column. The CFT column shortening analysis using Monte Carlo method is proposed and an of a 37 story tall building with CFT columns is studied for illustration. According to the results obtained by the probability analysis with multi parameters, the effect of variation coefficient for 3 parameters is investigated considering confidence interval.

• Korean Journal of Soil Science and Fertilizer
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• v.45 no.5
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• pp.676-682
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• 2012

The objectives of this study focused on measuring chlorophyll fluorescence related to drought stress comparing some parameters. Almost parameters were declined although they were not significant on the basis of mean values of fluorescence of total leaf area. While the ratio of fluorescence intensity variable chlorophyll ($F_V$) to fluorescence intensity maximal chlorophyll ($F_M$) was not changed, the effective quantum yield of photochemical energy conversion in photosystemII (${\Phi}PSII$) and chlorophyll fluorescence decrease ratio ($R_{fd}$) were slightly reduced, indicating inhibition of the electron transport from quinone bind protein A ($Q_A$) to quinone bind protein B ($Q_B$). Some parameters such as non-photochemical quenching rate ($NPQ_{_-LSS}$) and coefficients of non-photochemical quenching of variable fluorescence (qN) in mid-zone of leaf and near petiole zone leaf were significantly enhanced within 4 days after drought stress, which can be used as physiological stress parameters. Decrease in ${\Phi}PSII$ could was significantly measured in all leaf zones. In conclusion, three parametric evidences for chlorophyll fluorescence responses such as ${\Phi}PSII$, NPQ, and qN insinuated the possibility of photophysiological indices under drought stress.

• Korean Journal of Optics and Photonics
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• v.25 no.1
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• pp.1-7
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• 2014

Multiple scattering effects in cloud are important error sources of the Mie scattering Lidar inversion method, which should be measured to correct the Lidar equation in single wavelength Mie Lidar. We have calculated the multiple scattering effects in liquid water clouds by using a Monte Carlo method, and we have applied these multiple scattering effects in measuring water cloud effective size and LWC (Liquid Water Content). When cloud effective size is less than $2.5{\mu}m$, we can easily extract cloud effective size and LWC by using two wavelength Lidar such as extinction coefficients measured at 355nm and 1064nm. For a larger size cloud, we can find that saturated degree of linear polarization is strongly correlated with cloud effective size, LWC, and extinction coefficients. From these correlations we know that we can measure LWC and cloud effective size if we use single wavelength Rotational Raman Lidar and Mie scattering polarization Lidar.

• Journal of the Korean Society for Marine Environment & Energy
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• v.11 no.2
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• pp.98-104
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• 2008

In April, July, October and December, 2003, we investigated the effects of water temperature, salinity and extinction coefficient on the distribution of phytoplankton communities at 22 stations in Jinju Bay of Korea. Water temperature and salinity showed a wide range of $10.4^{\circ}C-21.8^{\circ}C$ and 4.34-33.21 psu. Extinction coefficients showed a range of 0.09-3.08, above 1 from almost all the areas except in some central areas, especially, showed highest value (>2) in the estuary area. In phytoplankton, a total of 95 species belonging to 51 genera were identified. The predominant species were mainly diatoms throughout the year. Dominant species was Thalassionema nitzschioides, Skeletonema costatum, Thalassiosira sp. in April, S. costatum, Leptocylindrus danicus in July, C. debilis, S. costatum, C. curvisetus, Pseudonitzshia pungens in October, S. costatum, Asterionellopsis glacialis and C. debilis in December. S. costatum was a major dominant species for all the seasons. Considering the results of literature which is about physiological study, S. costatum seems to be euryhaline and eurythermal, and high affinity on the irradiance. Thus, the species might have been spread population in Jinju Bay where is characteristic of wide range of water temperature, salinity and high extinction coefficients.

• Journal of Korean Society of Forest Science
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• v.109 no.3
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• pp.259-270
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• 2020

Extreme weather events, such as heat and drought, have occurred frequently over the past two decades. This has led to continuous reports of cases of forest damage due to physiological stress, not pest damage. In 2014, pine trees were collectively damaged in the forest genetic resources reserve of Sogwang-ri, Uljin, South Korea. An investigation was launched to determine the causes of the dieback, so that a forest management plan could be prepared to deal with the current dieback, and to prevent future damage. This study aimedto 1) understand the topographic and structural characteristics of the area which experienced pine tree dieback, 2) identify the main causes of the dieback, and 3) predict future risk areas through the use of machine-learning techniques. A model for identifying risk areas was developed using 14 explanatory variables, including location, elevation, slope, and age class. When three machine-learning techniques-Decision Tree, Random Forest (RF), and Support Vector Machine (SVM) were applied to the model, RF and SVM showed higher predictability scores, with accuracies over 93%. Our analysis of the variable set showed that the topographical areas most vulnerable to pine dieback were those with high altitudes, high daily solar radiation, and limited water availability. We also found that, when it came to forest stand characteristics, pine trees with high vertical stand densities (5-15 m high) and higher age classes experienced a higher risk of dieback. The RF and SVM models predicted that 9.5% or 115 ha of the Geumgang Pine Forest are at high risk for pine dieback. Our study suggests the need for further investigation into the vulnerable areas of the Geumgang Pine Forest, and also for climate change adaptive forest management steps to protect those areas which remain undamaged.

• Journal of Korean Ophthalmic Optics Society
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• v.12 no.1
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• pp.85-90
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• 2007

We deposited thin films of ZnS(Zinc Sulphide), in which was used antireflection coating material of glasses-lens on silicon and slide-glass substrates using spin coating method, and measured spectra of ellipsometry angles ${\Delta}$ and ${\Psi}$ in the photon-energy range of 1.5~5.0 eV using a variable angle spectroscopic ellipsometer. The optical constants, refractive index and extinction coefficient, of ZnS were determined via the dispersion parameters extracted from the curve-fitting process based on Jellison-Modine dispersion function.

• Korean Journal of Optics and Photonics
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• v.23 no.5
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• pp.197-202
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• 2012

We present the results of performance test and analysis of a laser radar system prototype for mapping applications. The laser radar system consisting of fiber laser and avalanche photo-detector and other related component modules was designed and manufactured. The laser radar system now has the status of a prototype for the testing of laboratory performance. Main performance parameters of the system such as laser source characteristics, range accuracy, extinction ratio, and false alarm rate were experimentally measured and the results were analyzed. It confirmed that the laser radar system prototype is performing at a proper level.