• Journal of the Mineralogical Society of Korea
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• v.22 no.2
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• pp.115-127
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• 2009

Mineral quantification was performed on sediments of the Ulleung basin by X-ray powder diffraction and the computer software based on Rietveld quantification method. The sediments are dominated by amorphous opal-A with quartz, feldspars, micas, clays, calcite, and pyrite. The opal-A shows iterative variation in abundance with increasing burial depth. In addition, the relative abundance of opal-A is coincident with abundance of organic carbon contents, indicating that the Ulleung sediment consists mostly of amorphous silica derived from organism in the pelagic environment. Upward increase in the abundance of opal-A is markedly shown in the cores located in the slope region. On the other hand, there is a distinct tendency that the abundance of calcite is inversely proportional to that of opal-A. This indicates that the abundance of opal-A increases during the rise of sea level. Also, the fall of sea level lowers the abundance of opal-A.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.18 no.8
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• pp.977-983
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• 2007

Recently, the number of systems which utilize wireless power transmission to a receiving module in a short distance is increasing. For efficient use of receiving space, coils are wound around the ferrite core to produce electromotive force(emf) in suppling power by wireless transmission. This paper analyzed the magnetic flux density distribution in the ferrite core in magnetic field environment which is uniformly oriented along to a single axis at 125kHz. For numerical analysis, Ansoft Maxwell which is applying the FEM(Finite Element Method) method was used. We studied the variations of the gathered magnetic fluxes to the changes of the relative permeabilities of the ferrite cores. Also we calculated the magnetic flux variation by shaving the ferrite core off for the groove of coil winding. Results showed that using a small ferrite core in magnetic field at 100kHz band can increase the amount of magnetic flux $3{\sim}4 times$ than without the core. The magnetic flux decreased 23% by shaving the core 0.5 mm on the periphery of 4.75 mm radius core with the relative permeability 800.

• The Journal of the Korean dental association
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• v.47 no.12
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• pp.798-803
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• 2009

지르코니아는 물리적 성질이 금속과 가장 가까운 세라믹이며, 색상이 치아와 비슷하여 치과분야에서 사용빈도가 증가하고 있는 재료이다. 지르코니아는 zirconium dioxide 결정체로서, 1975년 Garvie가 'ceramic steer' 이라고 명명하였듯이 기존의 세라믹과 비교하여 뛰어난 물성을 지니고 있다. 즉, 높은 내열성과 낮은 열전도도, 산성에서 알카리성까지 이르는 내화학 안정성, 낮은 열팽창성, 높은 강도 및 경도, 내마모성을 가지고 있기 때문에 이전부터 공업용 재료로 넓게 시용되어 왔다. 지르코니아의 상변 이를 이용한 toughening방법이 Garvie에 의해 제시됨으로서 세라믹의 최대 단점인 취성은 어느 정도 극복할 수 있게 되었고 이를 계기로 금관 및 계속가공 의치, 임플란트 지대주, 인레이, 온레이 등 치과의 여러 분야에 지르코니아를 적용할 수 있게 되었다. 최근에는 임플란트 매식체에 있어서도 그 적용을 시도함으로서 심미치과치료에 있어서 중요한 부분으로 자리 잡고 있다. 현재 지르코니아는 치과용 세라믹 중에서 가장 높은 기계적 물성을 보이기 때문에 구치부 에서의 사용 가능성이 시도되고 있으며, 코어의 두께를 감소시킴으로써 보철 술식에서 필요한 강도 및 심미성 두 마리 토끼를 잡을 수 있도록 많은 연구가 이루어지고 있다. 이에 지르코니아의 역사 및 이론적 배경에 대하여 알아보고자 한다.

• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.41-55
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• 2017

This study predicts the average scores of top 150 PGA golf players on 132 PGA Tour tournaments (2013-2015) using data mining techniques and statistical analysis. This study also aims to predict the Top 10 and Top 25 best players in 4 different playoffs. Linear and nonlinear regression methods were used to predict average scores. Stepwise regression, all best subset, LASSO, ridge regression and principal component regression were used for the linear regression method. Tree, bagging, gradient boosting, neural network, random forests and KNN were used for nonlinear regression method. We found that the average score increases as fairway firmness or green height or average maximum wind speed increases. We also found that the average score decreases as the number of one-putts or scrambling variable or longest driving distance increases. All 11 different models have low prediction error when predicting the average scores of PGA Tournaments in 2015 which is not included in the training set. However, the performances of Bagging and Random Forest models are the best among all models and these two models have the highest prediction accuracy when predicting the Top 10 and Top 25 best players in 4 different playoffs.

• Korean Journal of Plant Resources
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• v.21 no.1
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• pp.73-82
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• 2008

The resource plants of the Mt. Geonji was listed 354 taxa; 92 families, 242 genera, 303 species, 48 varieties and 3 forms. 354 taxa listed consists of 205 taxa of edible plants(57.1%),234 taxa of medicinal plants(65.2%), 167 taxa of ornamental plants(46.5%) and 218 taxa of the others(60.7%). Specific plant species by floral region were total 22 taxa; Trapella sinensis var. antennifera in class IV, Iris ensata var. spontanea in Class II, 16 taxa(Salix glandulosa, Alnus hirsuta, Chrysosplenium flagelliferum, Mallotus japonicus, Ilex macropoda, Grewia biloba var. parviflora, Vaccinium oldhami, Lysimachia barystachys, Fraxinus mandshurica, etc.) in class I. The naturalized plants in this site were 12 families, 23 genera, 28 species, 2 varieties, 30 taxa(Bromus unioloides, Phytolacca americana, Oenothera erythrosepala, Ipomoea hederacea var. hederacea, Aster pilosus, Erechtites hieracifolia) and naturalization rate was 8.5% of all 354 taxa vascular plants. Wild plants disturbing ecosystem like Solanum carolinense and Ambrosia artemisiifolia var. elatior have been increasing. So, it needs continuing control and conservation measures on the plant ecosystem.