• Korean Journal of Soil Science and Fertilizer
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• v.12 no.1
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• pp.1-14
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• 1979

The fertility which is the combined factor is one of the important capability determiants of paddy soils. In this study, we aimed at attaining a quantitative evaluation of soil fertility and further establishing an objective fertility classification on the basis of the fertility evaluation. The samples used in this series studies were collected from Korean paddy field. They include deltas, flood plains, coastal plains, valley plains, fans and low terraces. On the basis of correlation analysis, factor analysis was applied to a set of 15 variables. As a result of factor analysis, five mutually independent and clearly definable fertility component factors were extracted from the 15 variables for the whole 90 surface soil samples. The fertility status of each sample soil could be objectively designated by the score of the five factors. As a means of summarizing the information obtained, taxonomic distances between all pairs of the samples were computed from these five factor scores further to be subjected to numerical taxonomy. Seven fertility groups were formulated, each of which was characterized by one or more of the fertility components. As this fertility classification was based on the present state of soil properties, it would be useful in pointing to the proper direction of further fertility amelioration and improvement for each group to enhance potential productivity of Korean paddy fields.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.1
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• pp.15-26
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• 2002

The purpose of this study was to classier the somatotype of late middle-aged women and to analyze the characteristics of each somatotype. The subjects were 337 late middle-aged women and their age range os from 45 to 59 fears old. Data were collected through anthropometry and photometry and analyzed by factor analysis, cluster analysis and discriminant analysis. The results were as follows; 1. The result of factor analysis indicated that 9 factors were extracted through factor analysis and those factors comprised 83.56 percent of total valiance. 2. Using factor scores, cluster analysis was carried out and the subject were classified into 4 cluster. Each cluster was classified as their body front and side view contour. Type 1 is tall, slim, and lower balk is flat on the side. Type 2 is standard and lean-back type on the side. Type 3 is standard height and weight, H type in front, and belly-protruded on the side. Type 4 is short, fat, and the side is hip-protruded. 3. According to the stepwise discriminant analysis, the 9 important items in classifying the somatotype of the late middle-aged women are as follows ; lower back tilt angle, hip depth(back) -back waist depth(back), bust depth(fore) - anterior waist depth(fore), jugular fossa point(fore), upper back tilt angle, burst breadth -waist breadth, right shoulder tilt, height of shoulder - height of anterior waist, abdomen breath. The correct classification rate for these items is as exact as 84.62%.

• The Journal of the Korean life insurance medical association
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• v.25
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• pp.103-118
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• 2006

근래에 한국의 생명보험 시장에는 주요 질병의 보장을 위한 상품들이 연일 쏟아져 나오고 있다. 그러나 이와 함께 증가될 수 있는 리스크에 대한 대비는 상대적으로 부족한 실정이다. 특히 간질환에 의한 급부발생이 타질환에 비하여 현격하게 높은 국내 실정에 맞게 언더라이팅 초점이 맞추어져야 할 필요가 있다. 간질환 유발인자로 대표적인 것은 B형 간염이지만, 과다한 알코올 섭취에 의한 간질환 역시 매해 빠른 속도로 증가하는 추세이다. 따라서 본 논문에서는 알코올에 의한 질환의 종류와 이와 관련된 보험금 청구 통계, 그리고 음주로 인한 교통사고의 폐해에 대해 살펴보고, 알코올 남용자를 사전에 판별할 방법을 찾아보고자 한다. 일반적으로 알려져 있는 알코올 관련 질환으로는 지방간, 알코올성 간염, 알코올성 간경변이 있으며, 이로 인한 급부발생율은 급격히 증가하고 있다. 음주로 인한 폐해는 단순히 간질환에 그치지 않고 있으며, 교통사고의 상당수가 음주와 관련이 되어있다. 이러한 리스크에 대해 국내의 상당수 보험사들은 혈액검사를 통하여 간기능에 대한 기준을 설정하여 언더라이팅을 하고 있다. 현재 주로 시행되고 있는 간기능 검사들에 대한 정확도에 대해서는 논란이 있을 수 있다. 따라서 보다 정밀한 검사법들에 대한 연구가 필요할 것이다. 외국의 경우, 보험을 가입하고자 하는 보험 대상자들은 직업이나 흡연, 위험 취미뿐만 아니라 알코올과 관련된 일정한 양식의 질문표에 대하여 성실하게 고지하도록 하고 있다. 국내에도 알코올과 관련된 자세한 고지항목을 첨부하여, 일정 기준에 미치지 못하는 가입자에 대하여 표준미달체로 분류하여 보다 정밀한 검진을 통해 세밀한 언더라이팅이 이루어져야 하겠다. 이와 아울러, 알코올로 인한 사회적 폐해의 심각성에 대한 인식 확대를 위한 각 보험사 및 유관기관의 노력이 전개된다면, 음주에 대한 진사 절차가 수월해질 것으로 기대된다.

• Proceedings of KOSOMES biannual meeting
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• 2007.11a
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• pp.193-195
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• 2007

해양생태계로 유입되는 화학물질의 총합적인 평가 및 관리를 위해서는 동 화합물의 해양환경중의 거동 및 운영, 생태계에의 영향, 관리방안에 따른 화학물질의 변화 예측 및 리스크 평가 등을 행할 필요가 있으며, 이를 위하여는 화학물질에 대한 생태계 모델이 유용한 수단이 될 수 있다. 본 연구에서는 여러 화학물질에 적용할 수 있으며, 지역특성, 존재 데이터 상황, 대상 수산물의 특성을 고려하여 여러 상태함수 및 프로세스의 추가와 삭제가 가능한 3차원 생태계 모델(EMT-3D)을 사용하여 해양환경중의 PFCs 관련물질을 대상으로 그 적용성을 검토하였으며, 민감도 분석 및 시나리오 분석을 행하여 영향인자를 판별하고 대안에 따른 영향을 평가하였다.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.1
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• pp.143-153
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• 2003

This study was conducted in order to provide basic study material for children's garment design. The subjects of this study are fifth and sixth grade elementary school girls, who demonstrate rapid growth and the differences among individual somatic types are apparent. Their bodies are studied, categorized into patterns and the characteristics are examined. 1 The increase of height and length measurements according to age increase are much larger than that of breadth, depth and girth menasurments. 2. Eight factors are drawn upon factor analysis and the rate of factors comprisedare 78.68%. 3. The shapes of lower body of higher grades girls in elementary school are classified into three categories. The first type is slender in lower body and the second type is more contoured around waist area with longer length and higher height than the average elementary school girls. The third type is heavy in the lower body. 4. Eighteen items important for somatic categorization are selected through stepwise discriminant analysis and the exactitude rate of these items is 93.3%.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.3
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• pp.381-392
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• 2002

Purpose : The purpose of this study was to examine the degrees of turnover intention among Korean staff nurses(N=175) and to identify discriminating factors of their turnover intention. Method : The data were driven from a larger study and staff nurses who had worked more than 1 year as nurses were included in the analyses. The original data were collected from May 1999 to March 2000. Descriptive and discriminant analyses were utilized. Results : 87% of the participants reported turnover intention. Nurses were grouped into three group(GP)s depending on the frequencies of turnover intention: Never GP(N=23), Sometimes GP(N=107), Frequent GP(N=43). With three GPs, two functions were produced and only function 1 was significant that significantly discriminated Never and Frequent GPs. Additional discriminant analysis with only Never and Frequent GPs produced function classified 93% of the participants correctly into two GPs. Sub-dimensions of work satisfaction were significant discriminating factors. Nurses who are satisfied with doctor and nurse relationship, pay, and hospital administration tend to report no intention in turnover. Conclusion : Based on the findings of this study, possible managemental intervention for increasing interpersonal skills and assertiveness of nurses, inviting medical residents in ward team meeting, increasing incentives or baseline adjustment of annual income for registered nurses were suggested.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.8
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• pp.1386-1397
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• 2001

The purpose of this study was to classify and analyze the somatotype of early middle-aged women and to provide its total data for clothing construction, and to improve clothing culture. The subjects were 277 early middle-aged women between 35 and 44 years old. Data were collected through anthropometry and photometry and analyzed by factor analysis, cluster analysis and discriminant analysis. The results were as follows; 1. The result of factor analysis indicated that 10 factors were extracted through factor analysis and those factors comprised 86.13 percent of total variance. 2. Using factor scores, cluster analysis was carried out and the subject were classified into 4 cluster. Type 1 is tall, slim, and X type in front. Type 2 is standard height and weight, short upper body, and hip-protruded on the side. Type 3 is standard height, thin, H type in front, back and hip are clearly protruded, and lean-back type on the side. Type 4 is standard height, fat, and long upper body. 3. According to the stepwise discriminant analysis, the 8 important iems is classifying the somatotype of early middle-aged women are as follows : bust girth, back length hip breadth-waist breadth, back protruded point depth(back)-back waist depth(back), hip tangent tilt, hip depth(back) waist dapth(back), bust depth-waist depth, and cervical hight, The correct classification rate for these items is as exact as 83.20%.

• Journal of Korean Society of Forest Science
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• v.79 no.4
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• pp.424-430
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• 1990

The variation of needle, cone and seed characteristics and of allelic frequency in isoenzyme, ADH, ME and PGI, according to different resin duct index in Pinus densiflora, Pinus thunbergii and their hybrids was analyzed. The results obtained were as follows : 1. With increase of number of resin ducts, morphological characteristics such as needle length, needle sheath length, cone size, seed size, seed wing size, 1000 seeds weight, etc. tended to he increased, while number of stomata row in needle to be decreased. 2. As the results of discriminant analysis for the morphological characteristics of needle, cone and seed, most individuals are generally coincided with number of resin duct mostly in Pinus densiflora were not. 3. According to the canonical discriminant function obtained from the morphological characteristics in Pinus densiflora, Pinus thunbergii and their hybrids including introgressive hybrid, the resin duct index, 1000 seeds weight, cone size and neelde sheath length characterized fairly their species. 4. With increase of resin duct index, hybrid index tended to be higher. The results obtained from the discriminant analysis and the hybrid index were nearly same each other. 5. With increase of number of resin duct, the allelic frequencies for isoenzyme, ADH-$B_2$, ME-$A_2$ and PGI-$B_1$. $B_2$ tended to increase but those of ADH-$B_3$, ME-$A_4$, and PGI-$B_3$, to decrease. It is thought that this increase of frequency for the former four isoenzymes was resulted in introgressive gene flow from Pinus thunbergii to Pines densiflora and accordingly the frequency of latter three isoenzymes tended to decrease.

• Journal of the Korean Data and Information Science Society
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• v.25 no.5
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• pp.1095-1106
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• 2014

Symbolic data analysis extends the data mining and exploratory data analysis to the knowledge mining, we can suggest the SDA tree model on clinical and genomic data with new knowledge mining SDA approach. Using SDA application for huge genomic SNP data, we can get the correlation the availability of understanding of hidden structure of HCC data could be proved. We can confirm validity of application of SDA to the tree structured progression model and to quantify the clinical lab data and SNP data for early diagnosis of HCC. Our proposed model constructs the representative model for HCC survival time and causal association with their SNP gene data. To fit the simple and easy interpretation tree structured survival model which could reduced from huge clinical and genomic data under the new statistical theory of knowledge mining with SDA.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.2
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• pp.1-8
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• 2024

The expansion joint is installed to offset the expansion of the superstructure and must ensure sufficient gap during its service life. In detailed guideline of safety inspection and precise safety diagnosis for bridge, damage due to lack or excessive gap is specified, but there are insufficient standards for determining the abnormal behavior of superstructures. In this study, a data-based maintenance was proposed by continuously monitoring the expansion-gap data of the same expansion joint. A total of 2,756 data were collected from 689 expansion joint, taking into account the effects of season. We have developed a method to evaluate changes in the expansion joint-gap that can analyze the thermal movement through four or more data at the same location, and classified the factors that affect the superstructure behavior and analyze the influence of each factor through deep learning and explainable artificial intelligence(AI). Abnormal behavior of the superstructure was classified into narrowing and functional failure through the expansion joint-gap evaluation graph. The influence factor analysis using deep learning and explainable AI is considered to be reliable because the results can be explained by the existing expansion gap calculation formula and bridge design.