• Journal of the Mineralogical Society of Korea
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• v.13 no.2
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• pp.96-114
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• 2000

춘천 연옥은 색깔에 따라 세가지 유형 (연녹색, 암녹색, 및 회색 연옥)으로 구분되고 이들은 각기 서로 다른 조직과 조성을 나타낸다. 연녹색 연옥이 이중에서 가장 일반적인 유형이다. 연옥은 주로 극미립의 연옥질 투각섬석으로 구성되고 여기에 미량의 휘석, Mg-녹니석 및 방해석이 불순물로서 수반된다. 연옥질 투각섬석 결정들은 그 폭이 5$\mu\textrm{m}$ 이하의 극미립질 침상 결정형을 이루며 서로 치밀하게 얽혀있는 연옥 특유의 조직을 나타낸다. 주사전자현미경 하에서 (110)의 벽개면의 발달이 현저하고, 주사탐침현미경 하에서는 벽개면을 가로지르는 방향으로 특징적인 조선이 나타나는 것이 특징이다. 연옥질 투각섬석은 투과전자현미경 하에서 흔히 단쇄형과 복쇄형이 결합한 3중쇄형 격자가 복쇄형의 투각섬석 구조 내에서 불규칙적으로 협재되는 혼성격자 구조가 발달하는 것이 특징이다. 드물지만 5중쇄형 격자와 4중쇄형 격자도 관찰되는데, 이 같은 불규칙한 격자 혼재상은 회색 연옥에서 보다 현저한 경향을 보인다. 이와 같은 혼성격자 구조형의 존재는 춘천 연옥이 열역학적으로 비평형 상태에서 형성되었음을 시사하는 것으로 여겨진다. 리트벨트법에 의한 구조검증을 통해서 구해진 연옥질 투각섬석들의 격자상수 값들은 X-선회절의 경우, a=9.837(1)~9.9804(4)$\AA$, b=18.046(2)~18.062(1)$\AA$. c=5.2765(7)~5.2803(3)$\AA$, $\beta$=104.717(9)~104.786(3)$^{\circ}$로 계산되었다. 이에 비해서 중성자 회절법에 의해서 측정되 격자 상수 값은 a=9.8841(6)~9.8933(7)$\AA$, b=18.1429(7)~18.161(2)$\AA$, c=5.3024(3)~5.3060(7)$\AA$, $\beta$=104.698(7)~104.771(4)$^{\circ}$로서 X-선회절에 의한 값들과 약간의 차이를 보인다. 연옥질 투각섬석은 Ca에 대한 Mg의 치환에 의해 M(4) 자라의 크기가 작아지면서 b축의 단위포도 함께 줄어드는 결정화학적 특징을 나타낸다. 이는 중성자 회절분석에 의해서 구해진 M(4)의 자리점유율과 M(4)-O의 원자간 거리에 의해서도 확인된다. 그러나 연옥질 투각섬석에 대한 리트벨트법에 구조검증 결과는 연옥의 유형별 미시적 광물상과 혼성격자 구조형의 특징에 별다른 연계성이 없는 것으로 나타났다.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.2
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• pp.39-50
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• 2024

Color is an essential visual element that has a significant impact on the formation of a city's image and people's perceptions. Quantitative analysis of color in urban environments is a complex process that has been difficult to implement in the past. However, with recent rapid advances in Machine Learning, it has become possible to analyze city colors using photos shared by tourists. This study selected Dali City, a popular tourist destination in China, as a case study. Photos of Dali City shared by tourists were collected, and a method to measure large-scale city colors was explored by combining machine learning techniques. Specifically, the DeepLabv3+ model was first applied to perform a semantic segmentation of tourist sharing photos based on the ADE20k dataset, thereby separating artificial elements in the photos. Next, the K-means clustering algorithm was used to extract colors from the artificial elements in Dali City, and an adjacency matrix was constructed to analyze the correlations between the dominant colors. The research results indicate that the main color of the artificial elements in Dali City has the highest percentage of orange-grey. Furthermore, gray tones are often used in combination with other colors. The results indicated that local ethnic and Buddhist cultures influence the color characteristics of artificial elements in Dali City. This research provides a new method of color analysis, and the results not only help Dali City to shape an urban color image that meets the expectations of tourists but also provide reference materials for future urban color planning in Dali City.

• Journal of ILASS-Korea
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• v.20 no.4
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• pp.247-253
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• 2015

Recently, the engine calibration technique has been much more complicated than that of the past engine case in order to satisfy the strict emission regulations. The current calibration method for the diesel engine which has an increasing market is both costly and time-consuming. New engine calibration method is required to develop for high-quality diesel engines with low cost and release it at the appropriate time. This study provides the optimal calibrating technique for complex engine systems using statistical modeling and numerical optimization. Firstly, it design a test plan based on Design of Experiments, a V-optimality methodology which is suitable looking for set-points, and determine the shape of test engine response. Secondly, it uses functions to make linear regression model for data analysis and optimization to fit the models of engines behavior. Finally, it generates the optimal calibrations obtained directly from empirical engine models using Grey Relational Analysis and compares the calibrations with data. This method can develop a process for systematically identifying the optimal balance of engine emissions.

• The Journal of the Petrological Society of Korea
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• v.15 no.4 s.46
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• pp.167-179
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• 2006

Division of granites in the Galmal-Yeonbug area, northern Gyeonggi, can be grey hornblende biotite granite (JHBG), biotite granite (JBG) and pink hornblende biotite granite (CHBG) by lithofacies. JHBG of small stock occurs as medium-grained with grey color and minute sphene. JBG occurs as medium-grained and light grey to grey in the north-east part of the area. The main study target CHBG covers in the north-southeast part of the area, and occurs medium-to coarse-grained with pink color. CHBG shows partly minute miaroles, and pegmatitic pocket with druse texture. From the mineral age data (K-Ar method). JHBG and JBG and CHBG are the igneous activity products of Daebo orogeny with different Jurassic and Bulgugsa disturbance of Cretaceous, respectively. And the age data also agree with geologic occurrences and interpretations of the granites in the field. CHBG consists of quartz, plagioclase, alkali-feldspar, biotite, hornblende, allanite, apatite, zircon, some calcite and opaques. Among them, alkalifeldspar and calcite occur characteristically in mostly perthitic othoclase and secondary filling of minutely miarolitic cavity, respectively. In modal analysis and QAP diagram, CHBG plots in granite field, and especially boundary of monzo-and syeno-granite fields. From the major oxide variations, molar A/CNK, $SiO_{2}\;vs\;K_{2}O$, AMF and so on, CHBG belongs to the acidic, peraluminous and high-K calc-alkaline, and was late differentiation product of single granitic magma. Barium and strontium have also dominantly differentiation trend, and in CaO vs Sr and $K_{2}O$ vs Sr, Sr was more participitated in the fractionation of plagioclase than that of alkali-feldspar. Normalized REE concentrations to chondrite value have parallel and gradual LREE enrichment and HREE depletion patterns, and weak Eu negative anomalies and narrow ranges of normalized Eu can suggest that plagioclase fractionations occurred mildly in the whole CHBG.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.274-274
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• 2015

전 세계적으로 식량과 물 안보에 대한 중요도가 높아지고 있으며 이에 따라 물발자국은 식량과 물을 연계하는 요소로서 거론되고 있다. 물발자국은 제품이 생산되는 과정동안에 사용되는 물의 양을 의미하며 $m^3/ton$으로 표현한다. 이러한 물발자국은 작물 필요수량 및 생산량을 기반으로 산정되기 때문에 기후변화와 밀접한 관계가 있다. 따라서 농업 및 수자원 계획 분야에서 물발자국의 활용성을 높이기 위해서는 기후변화에 따른 우리나라 농산물의 물발자국 변화를 살펴보는 것이 필요하다. 이에 따라 본 연구에서는 기후변화에 따른 논벼의 농업용수량 및 생산량 산정을 통하여 미래의 녹색 및 청색 물발자국을 산정하고, 시기 및 시나리오별 불확실성 및 민감도를 평가하고자 하였다. 기후변화 시나리오는 RCP 기반의 신 기후변화 시나리오를 이용하였으며, 물발자국 산정 작물은 우리나라의 주곡인 논벼를 대상으로 하였다. 물발자국은 작물의 단위생산량당 소비되는 물의 양으로 정의되며, 최근 연구에서 물발자국은 용수 공급원에 따라 녹색(green), 청색(blue), 회색(grey) 물발자국으로 구분하여 산정되고 있다. 본 연구에서는 작물의 증발산으로 소비되는 수량만을 물발자국 산정에 적용하여 증발산량 중 강우에 의해 공급되는 수량인 녹색 물발자국과 관개에 의해 인위적으로 공급되는 수량인 청색물발자국을 산정하였다. 기후변화에 따른 미래의 작물의 생산량을 산정하기 위해 작물모델로 기상, 재배관리, 작물의 유전정보, 토양수분 및 질소의 효과까지 고려하여 작물의 생육뿐만 아니라 생산량까지도 모의할 수 있는 CERES-Rice모델을 적용하였다. 미래 기후 전망을 위한 전지구모형은 종류가 다양하고 모형의 특성과 모형 입력 자료에 따라 모의 결과가 상이하게 나타남에 따라 불확실성을 내포하고 있다. 따라서 기후변화에 능동적으로 대처할 수 있는 논벼의 물발자국을 산정하기 위하여 각 시나리오 및 시기별 물발자국의 불확실성 및 민감도를 분석하였다. 본 연구의 결과는 기후변화에 따른 미래 농업수자원의 변화를 분석하는데 이용될 수 있을 뿐 만아니라 우리나라 미래 국가수자원 정책의 수립을 위한 기초자료로 활용될 것으로 기대된다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.28 no.3
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• pp.334-339
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• 1983

With the 91 lines of Italian millet collected throughout the whole country in Korea and the 238 varieties from several Asian countries, trial was carried out to elucidate its differentiation, dissemination and distribution, and the ethnobotanical relations to the adjacent area. Glutinous millets which consisted of 66% among the collected Korean lines were widely distributed throughout the whole country, but non-glutinous ones were mainly distributed in the mountainous regions and Jeju island. The variations in germinability at low temperature were recognized among lines, but seemed not to be closely related to their regional distribution. The collected lines with small grain size were distributed mainly in the mountainous regions of middle and northern part of Korea and larger ones in Jeonnam province and Jeju island. And some of them were larger in grain size as compared with that of Japanese and Republic of China varieties. Seed coat color of collected lines in Korea showed wide variations from yellow to gray, especially in Gyungbuk province. However, all lines from Chungnam, Jeonnam and Gyungnam province were yellow in seed coat color. All lines from Korean collection except two lines indicated negative(-) phenol reaction which is very similar to that of Japan and China, while these were quite different from the varieties of Republic of China, Philippines and India, of which 30-60% showed positive(+) phenol reaction. The pattern of the esterase isozyme m Korean lines was simillar to that of Japanese lines and this was quite different from that of Republic of China, Philippines and India. Variation of this trait was greater in Chinese and Korean lines.

• Management & Information Systems Review
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• v.29 no.1
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• pp.1-23
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• 2010

This study examines the impacts of outside directors' characteristics and compensation on stock performances of KOSDAQ and NASDAQ IPO firms. The results of this study indicated the following interesting results. First, there is no significant relation between outside directors' age and CARs on KOSDAQ firms. while significant positive relation between outside directors' age and CARs on NASDAQ firms. And the elder age group shows a more positive impact on performances compared with the younger age group. Second, there is no relation between outside directors' academic background and CARs for KOSDAQ firms. But We find a significantly positive one for NASDAQ firms. Third, In Relation to outside directors' careers, their professional or CEO careers group have more positive impact on stock performances than gray directors' careers group. Lastly, there is an insignificant negative relation between the outside directors' compensation and CARs for KOSDAQ firms. while there is a positive relative for NASDAQ firms. In particular, there is a significant positive relative between value of stock options and CARs for NASDAQ firms. from the result, I could find out the stock option for outside' directors have a positive influence on firm value.

• Journal of the Korean Society of Radiology
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• v.81 no.1
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• pp.176-189
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• 2020

Purpose To evaluate the clinical efficacy of real-time sonoelastography (RTS) for the follow-up of congenital muscular torticollis, based on measurements of muscle elasticity. Materials and Methods Thirty-four infants (23 male, 11 female) with congenital sternocleidomastoid (SCM) muscle torticollis underwent ultrasonography and elastography between November 2012 and December 2014. We evaluated the thickness, morphology (mass-like, fusiform, or overall thickened shape), and echogenicity of the SCM muscle on grayscale images and color patterns (homogeneous blue, mixed green < 50% and ≥ 50%, and green to red) on elastography. Strain ratios were measured using Q-lab software. A clinician classified the degree of neck rotation and side flexion deficits using a 5-point grade system based on angles of neck rotation and side flexion. Correlations between the ultrasonography and clinical findings were evaluated by statistical analysis. Results Twenty-two infants had right and 12 had left SCM torticollis, respectively. Linear regression analysis showed that involved/contralateral SCM thickness differences, morphology, elasticity color scores, and strain ratios of the affected SCM muscles were significantly correlated with neck rotation and side flexion deficit scores (p < 0.05). The elasticity color score of the affected SCM muscle was the most significant factor. Conclusion RTS might provide a reliable means for evaluating and monitoring congenital muscular torticollis.

• Journal of Animal Science and Technology
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• v.53 no.4
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• pp.303-310
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• 2011

Phylogenetic relationships of Jeju dogs to other domestic and foreign dog breeds were assessed using mtDNA D-loop sequences. Neighbor-joining trees were constructed using complete sequences (970 bp excluding the tandem repeat region) determined for five Cheju, four Jindo, four Sapsaree, five Pungsan, two of each East and West Laika dogs (Canis familiaris), two gray wolves (Canis lupus) and two coyotes (Canis latrans) and also published complete sequences for dogs. Coyote sequences were used as outgroups. In addition, a total of 214 haplotypes of 598bp D-loop sequences from 30 dog breeds were collected from GenBank and used to investigate genetic structure of population. In the analyses of full D-loop sequence variation and the phylogenetic trees constructed by neighbor-joining method, neither haplotypes nor clades specific for any domestic dog breeds were observed. The inter-species sequence variation (4.51%) between domestic dogs and wolves was much higher than the intra-species sequence variation within domestic dogs (1.63%) and wolves (3.64%). The divergence of the dog and wolf occurred approximately 1~2 million years ago based on these values. The taxa of Jeju dog breed in the phylogenetic tree are clustered separately and intermingled with other taxa of breeds, suggesting that active crossbreeding of Jeju dogs with other domestic breeds.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.7
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• pp.956-962
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• 2018

As the study of the object feature detection from image, we explain methods to identify the species of the tree in forest using the picture taken from dron. Generally there are three kinds of methods, which are GLCM (Gray Level Co-occurrence Matrix) and Gabor filters, in order to extract the object features. We proposed the object extraction method using the statistical properties of trees in this research because of the similarity of the leaves. After we extract the sample images from the original images, we detect the objects using cross correlation techniques between the original image and sample images. Through this experiment, we realized the mean value and standard deviation of the sample images is very important factor to identify the object. The analysis of the color component of the RGB model and HSV model is also used to identify the object.