• Journal of the Korean Geographical Society
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• v.39 no.4
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• pp.528-543
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• 2004

The biogeographical approach on the species composition, distributional range, and life form of native Korean conifers suggests that the Korean Peninsula harbors 4 families 10 genera 30 species. Early-evolved conifers maintain high species diversity and broad distribution. During the glacial periods, the ranges of cold-tolerant conifers expanded, on the other hand, those of warmth-tolerant ones reduced. Presence of endemic subalpine conifers might be the result of long-term isolation of conifers on high mountains. Horizontal and vertical ranges of native Korean conifers are classified into alpine, subalpine, montane, coastal, insular and disjunctive types, and then subdivided into twelve sub-types. Typical life form of native Korean conifers is evergreen tree, blooms in spring, and fruits ripe in autumn or following autumn. Oval and elliptical seeds with wing might be beneficial for their dispersal. Further works on the migration, dispersal, genetics, ecology of native Korean conifers are required for the better understanding of the biogeography of conifers.

• Geotechnical Engineering
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• v.3 no.2
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• pp.17-28
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• 1987

Reliability of the cone penetration test (CPT) for estimating shear strength of marine soils is investigated in this paper. For sands, the uncertainty about the angle of internal friction is analyzed. It includes the spatial variation of the soil and the model error in the equation used for interpretation. The most serious uncertainty encountered was the error in the interpretative models. Different methods of interpretation gave quite different values. Subjective opinion was introduced to combine all the interpretative models in a systematic manner. For clays, the undrained Shear Strength from the CPT results is usually =derived by empirical correlations between cone resistance and untrained shear strength from laboratory tests or field vane tests, expressed in terms of cone factor and function of overburden pressure. The uncertainty of the undrained shear strength is caused by data scatter of the cone factor in the correlation, model error of the cone factor, effect of anisotropy, and spatial variability of cone resistance. Among these uncertainties, the most serious one was the data scatter of the cone factor in the .correlation. Between the laboratory test and the field vane test used for correlation, the field vane test was more reliable.

• Journal of the Korea Society of Computer and Information
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• v.8 no.4
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• pp.165-175
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• 2003

The concept of measurement uncertainty has been recognised for many years since "Guide to the Expression of Uncertainty in Measurement" was published 1993 by ISO. This study firstly propose the mathematical model to evaluate uncertainty considering the dispersion of samples because the mathematical model of a measurement is an important to evaluate uncertainty, and it must contains every quantify which contribute significantly to uncertainty in the measurement result. Secondly the standard uncertainty of the result of a measurement, namely combined standard uncertainty is evaluated using the law of propagation of uncertainty, what is termed in GUM method. In GUM method, a measurand is usually approximated by a linear function of its variables by the transforming its input quantities. Furthermore central limit theorem is applied to the input quantity. However the mathematical model of a measurement is generally not always a linearity function, and a distribution function of input or output quantity is not necessarily normal distribution. Then, in some cases GUM method is not favorable to evaluate a measurement uncertainty. Therefore this study propose a new method and its algorithm which use the Monte-carlo simulation to evaluate a measurement uncertainty in both case of linearity or non-linearity function. function.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1511-1520
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• 2017

The purpose of this study is to analyze military combat training data to improve military operation and training methods and verify required military doctrine. We set the number of combat disabled enemies, which the individual combatants make using their weapons, as the response variable regarding offensive operations from scientific military training data of reinforced infantry battalion. Our response variable has more zero observations than would be allowed for by the traditional GLM such as Poisson regression. We used the zero-inflated regression and the hurdle regression for data analysis considering the over-dispersion and excessive zero observation problems. Our result can be utilized as an appropriate reference in order to verify a military doctrine for small units and analysis of various operational and tactical factors.

• Proceedings of the Korean Vacuum Society Conference
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• 2014.02a
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• pp.306.1-306.1
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• 2014

정보화 시대의 발전에 따라 점점 더 많은 정보를 더욱 빠르게 처리할 수 있는 기기들이 요구되고 있다. 메모리는 그 중에서 핵심적인 부품으로써 소자의 고집적화와 고속화가 계속 진행되면서 기존의 메모리 소자들은 집적화에서 그 한계에 도달하고 있다. 기존 소자들의 집적화의 한계를 극복하기 위하여 새로운 비휘발성 메모리 소자들이 제안되었다. 그 중 resistive switching random access memory(ReRAM)은 저항의 변화특성을 사용하는 메모리로 간단한 구조를 가지고 있기 때문에 집적화에 유리하다는 장점을 가지고 있다. 그 외에도 빠른 동작 속도와 낮은 전압에서의 동작이 가능하여 차세대 메모리로써 각광받고 있는 추세이다. 본 연구실에서는 이미 nitride 물질을 기반으로 한 여러 ReRAM 소자들을 제안해 왔다. 그 중 AlN-based ReRAM 소자는 빠른 동작 속도와 좋은 내구성을 보인 바 있다. 하지만 상업화를 위해서 해결해야 할 문제점들이 아직 존재하고 있다. 대표적으로 소자의 배열에서 각 소자의 균일한 동작이 보증되어야 하기 때문에 소자의 셋/리셋 전압의 산포를 줄이고 동작 전류 레벨을 낮추어야 할 필요성이 존재한다. 이러한 ReRAM의 이슈를 해결하기 위해, 본 실험에서는 기존의 AlN-based ReRAM 소자에 Ti를 도핑 방법을 이용하여 소자의 동작 전압 및 전류의 산포를 줄이기 위한 연구를 진행 하였다. 본 실험은 co-sputtering 방법을 이용하여 Ti가 도핑된 AlN을 저항변화 물질로 사용하여 그 특성을 살펴보았다. Ti의 도핑 효과로 소자의 신뢰성 향상 및 동작 전압의 감소 등의 효과를 얻을 수 있었다. 이는 nitride 기반 물질에서 Ti dopant에 의해 형성된 TiN의 효과로 설명된다. TiN는 metallic한 특성을 지니고 있기에 저항변화물질 내에서 일종의 metallic particle의 역할을 수행할 수 있다. 따라서 conducting path의 형성과정에서 이러한 particle 들이 전계를 유도하여 좀 더 균일한 set/reset 특성을 나타내게 된다.

• The Korean Journal of Applied Statistics
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• v.26 no.3
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• pp.413-420
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• 2013

Stochastic weather generator is a commonly used tool to simulate daily weather time series. Recently, a generalized linear model(GLM) has been proposed as a convenient approach to tting these weather generators. In the present paper, a stochastic weather generator is considered to model the time series of daily temperatures for Seoul South Korea. As a covariate, precipitation occurrence is introduced to a relate short-term predictor to short-term predictands. One of the limitations of stochastic weather generators is a marked tendency to underestimate the observed interannual variance of monthly, seasonal, or annual total precipitation. To reduce this phenomenon, we incorporate a time series of seasonal mean temperatures in the GLM weather generator as a covariate.

• Environmental and Resource Economics Review
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• v.23 no.2
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• pp.331-347
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• 2014

The purpose of this study is to estimate the economic value of the recreational sea fishing in the Yellow Sea using count data model. For estimating consumer surplus, we used several count data model of travel cost recreation demand such as a poisson model(PM), a negative binomial model(NBM), a truncated poisson model(TPM), and a truncated negative binomial model(TNBM). Model results show that there is no exist the over-dispersion problem and a NBM was statistically more suitable than the other models. All parameters estimated are statistically significant and theoretically valid. The NBM was applied to estimate the travel demand and consumer surplus. The consumer surplus pre trip was estimated to be 254,453won, total consumer surplus per person and per year 1,536,896won.

• The KIPS Transactions:PartA
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• v.10A no.1
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• pp.59-68
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• 2003

3-D data modeling of a volumetric scattered data is highly demanded for geological structure inspection, environment visualization and supersonic testing. The data used in these area are generally irregularly scattered in a volume data space, which are much different from the structured points data (cuberille data) used in Marching cube algorithm. In this paper, first we explore a volume modeling method for the scattered data based on tetrahedral domain. Next we propose a method for solving the ambiguity of tetrahedral domain decision using asymptotic decider criterion. Last we implement a simple visualization system based on the proposed asymptotic decider criterion and compare it with a system based on sphere criterion. In deciding tetrahedral domain, sphere criterion considers only positional values but asymptotic decider criterion considers not only positional values but also functional values, so asymptotic decider criterion is more accurate on deciding tetrahedral domain than sphere criterion.

• Korean journal of applied entomology
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• v.24 no.2 s.63
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• pp.79-83
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• 1985

Plant damages and yields of the different rice cultivars to brown planthopper (BPR), Nilaparvata lugens S., were observed for the evaluation of varietal resistance in paddy fields. Twenty nine Korean cultivas were transplanted in paddy fields with three plots of no insecticide, no insecticide and fungicide, and no fungicide at Haenam, southern coastal area in 1983. Among 6 varieties with BPR resistant genes, Samgang, Gaya, Hangangchal, and Cheongcheong showed very low populations of BPR and no damages on all treatments. Milyang 30 and Wonpung among them had considerable populations of BPR. Seokwang and 23 others showed high populations and serious damages. Yield increasea(%) with insecticides were low on Gaya(12%), Samgang(29%) and Hangangchal(35%), but very high on Bongkwang(260%), Palgueum(223%), Songjeon(200%), and Guanauk(200%).

• Communications for Statistical Applications and Methods
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• v.17 no.3
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• pp.413-421
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• 2010

In this study, we considered bivariate conditional auto-regressive model taking into account spatial association as well as correlation between the two dependent variables, which are the counts of murder and burglary. We conducted likelihood ratio test for checking over-dispersion issues prior to applying spatial poisson models. For the real application, we used the annual counts of violent crimes at 25 districts of Seoul in 2007. The statistical results are visually illustrated by geographical information system.