• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.2
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• pp.103-119
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• 2023

Since the Korean government has decided to apply the policy of BIM (Building Information Modeling) to the entire construction industry, it has experienced a positive trend in adoption and utilization. BIM can reduce workloads by building model objects into libraries that conform to standards and enable consistent quality, data integrity, and compatibility. In the domestic architecture, civil engineering, and the overseas landscape architecture sectors, many BIM library standardization studies have been conducted, and guidelines have been established based on them. Currently, basic research and attempts to introduce BIM are being made in Korean landscape architecture field, but the diffusion has been delayed due to difficulties in application. This can be addressed by enhancing the efficiency of BIM work using standardized libraries. Therefore, this study aims to provide a starting point for discussions and present a classification system for objects and attribute information that can be referred to when creating landscape libraries in practice. The standardization of landscape BIM library was explored from two directions: object classification and attribute information items. First, the Korean construction information classification system, product inventory classification system, landscape design and construction standards, and BIM object classification of the NLA (Norwegian Association of Landscape Architects) were referred to classify landscape objects. As a result, the objects were divided into 12 subcategories, including 'trees', 'shrubs', 'ground cover and others', 'outdoor installation', 'outdoor lighting facility', 'stairs and ramp', 'outdoor wall', 'outdoor structure', 'pavement', 'curb', 'irrigation', and 'drainage' under five major categories: 'landscape plant', 'landscape facility', 'landscape structure', 'landscape pavement', and 'irrigation and drainage'. Next, the attribute information for the objects was extracted and structured. To do this, the common attribute information items of the KBIMS (Korean BIM Standard) were included, and the object attribute information items that vary according to the type of objects were included by referring to the PDT (Product Data Template) of the LI (UK Landscape Institute). As a result, the common attributes included information on 'identification', 'distribution', 'classification', and 'manufacture and supply' information, while the object attributes included information on 'naming', 'specifications', 'installation or construction', 'performance', 'sustainability', and 'operations and maintenance'. The significance of this study lies in establishing the foundation for the introduction of landscape BIM through the standardization of library objects, which will enhance the efficiency of modeling tasks and improve the data consistency of BIM models across various disciplines in the construction industry.

• Journal of Korean Medical classics
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• v.22 no.2
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• pp.35-69
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• 2009

Yang Shangseon(楊上善)'s "Hwangjenaegyeongtaeso(黃帝內經太素)" was the first commentary book of "Hwangjenaegyeong(黃帝內經)", its importance often mentioned in level with Wang Bing (王冰)'s "Somun(素問)" "Yeongchu(靈樞)". The distinctive feature of Yang Sangseon(楊上善)'s commentary is that it is easy to comprehend in accordance with an organized classification, and that the explanations are simple and clear. Despite strict application of the Eumyang(陰陽, Yinyang) theory and Five phases[五行] theory throughout the text, should there be sentences which fall out of consistency with the basic theories, he added his own substantial commentary. His medical theory gives attention to the Meridian system[經絡], lays emphasis on developing the soul[神], and has a unique opinion about the Opening closing and pivot[開闔樞] theory along with the Myeongmun(命門). To explain the methods for preserving health[養生], he adopted the Nojang philosophy(老莊思想); to enrich the vitality he adopted the Buddhist philosophy(佛敎思想); and to analyze physiologic and pathogenic factors, he adopted the Confucian philosophy(儒家思想).

• Journal of Korean Academy of Nursing
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• v.49 no.5
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• pp.643-654
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• 2019

Purpose: The purpose of this study was to develop and psychometrically test the Korean Geriatric Loneliness Scale (KGLS). Methods: The initial items were based on in-depth interviews with 10 older adults. Psychometric testing was then conducted with 322 community-dwelling older adults aged 65 or older. Content, construct, and criterion-related validity, classification in cutoff point, internal consistency reliability, and test-retest reliability were used for the analysis. Results: Exploratory factor analysis showed three factors, including 15 items explaining 91.6% of the total variance. The three distinct factors were loneliness associated with family relationships (34.3%), social loneliness (32.4%), and a lack of belonging (24.9%). As a result of confirmatory factor analysis, 14 items in the three-factor structure were validated. Receiver operating characteristic analysis demonstrated that the KGLS' cutoff point of 32 was associated with a sensitivity of 71.0%, specificity of 80.2%, and area under the curve of .83. Reliability, as verified by the test-retest intraclass correlation coefficient, was .89, and Cronbach's ${\alpha}$ was .90. Conclusion: As its validity and reliability have been verified through various methods, the KGLS can contribute to assessing loneliness in South Korean older adults.

• Journal of Sasang Constitutional Medicine
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• v.18 no.1
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• pp.62-74
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• 2006

1. Objectives This is a statistical study on the Reliability and Validity of the Revised Questionnaire for the Sasang Constitution classification(QSCC II +). 2. Methods To analyze the reliability; we gathered the results of the QSCC II + of 266 people. Each person took the questionnaire three times, and the interval of the examinations were about one year. With the results, we used stratified analysis to check up the consistency rate of three examinations, and analyzed the tendency of agreement by crosstabs to get the kappa value. For the validity, we gathered the results of the QSCC II + of 587 people who were Taeumin, Soyangin, Soeumin. They took the questionnaire once, and SCM specialists strictly examined to diagnose their Sasang constitutions. We compare their results of the QSCC II + to the diagnostic result of their Sasang constitutions, and analyzed by crosstabs to get the rate of accuracy of the QSCC II +, and the kappa value for the measure of agreements. 3. Results and Conclusions The expected rate to get the same results was 54.5% in Soyangin, 68.1% in Taeumin, 65.7% in Soeumin, and kappa value was $0.311{\sim}0.414$, which means the reliability of the QSCC II + is analytically significant. The accuracy of the results of QSCC II +, compared to the diagnosis of the SCM specialists, was 58.4%, but increased up to 60.8%, and validity also became moderately good(K=0.412) by age limitation. Because in the 70's results of the QSCC II + isn't likely to agree to the diagnosis of the SCM specialists.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.98-103
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• 2020

The purpose of this study was to determine whether the results of KTAS(Korean Triage and Acuity Scale) triage classifier differ according to the occupations. We analyzed a total of 10,960,359 cases of data sent to the NEDIS from January 1st, 2016 to December 31th, 2017. The triage classifier were MD(Medical Doctor), R(Resident), INT(Intern), GP(General Practitioner), RN(Registered Nurses) and EMT(Emergency Medical Technician). The consistency between the initial triage and final triage results was the highest GP(98.9%) and the lowest INT(80.2%). The results of over-triage classification was the lowest by GP(0.6%) and the highest for INT(16.0%). Also, the results of under-triage classification was the lowest by MD, EMT(0.4%) and the highest for INT(3.8%). The results of KTAS triage classifier significantly differ from according to the occupations(p<0.001). Triage classification should not differ from according to occupations and skill. It is necessary to strengthen the classifier's capacity for accurate triage classifications.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1053-1065
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• 2019

Land use statistics calculation is very informative data as the activity data for calculating exact carbon absorption and emission in post-2020. To effective interpretation by land use category, This study classify automatically image interpretation by land use category applying forest aerial photography (FAP) to deep learning model and calculate national unit statistics. Dataset (DS) applied deep learning is divided into training dataset (training DS) and test dataset (test DS) by extracting image of FAP based national forest resource inventory permanent sample plot location. Training DS give label to image by definition of land use category and learn and verify deep learning model. When verified deep learning model, training accuracy of model is highest at epoch 1,500 with about 89%. As a result of applying the trained deep learning model to test DS, interpretation classification accuracy of image label was about 90%. When the estimating area of classification by category using sampling method and compare to national statistics, consistency also very high, so it judged that it is enough to be used for activity data of national GHG (Greenhouse Gas) inventory report of LULUCF sector in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.221-233
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• 2019

In Korea, small and medium sized domestic enterprises(SMEs) play an pivotal role in the national economy, accounting for 99.9% of all enterprises, 87.9% of total employment, and 48.3% of production. and SMEs was driving a real force of the development of national economy in many respects such as innovation, job creation, industrial diversity, balanced regional development. Despite their crucial role in the national development, most of SMEs suffer from a lack of R&D capabilities and equipments as well as funding capacity. Public R&D institutes can provide SMEs with valuable supplementary technological knowledge and help them build technological capacity. so, In order to effectively support SMEs, government and public R&D institutes must be a priority to know about the factors influencing the performance related to technology transfer and technological collaborations. In particular, SMEs are not only taking up a large portion of the national economy, but also their influence in politics and economy so strong that raising the competitiveness of small and medium-sized companies is a national policy goal that must be achieved in order to achieve sustained economic growth. For this reason, it is necessary to look specifically at the relationship between concepts such as the environment, strategy, and organizational culture surrounding the enterprise to enhance the competitiveness of SMEs. The paper analyzes 665 companies to find out which organizational culture affects their performance by classification and type of business of SMEs. This study demonstrated that when SMEs seek consistency in their external environment, strategies, and organizational structure to maintain their continued competitiveness. According to three-way analysis of variance (3-way ANOVA) indicates that classification of industries in SMEs has statistically significant main effects, but the type of business and organizational culture do not have significant effects. However, the company's organizational performance (operating profit) of SMES were found to differ significantly in comparison between groups according to classification standards of industries, and therefore adopted some parts. In addition, an analysis of the effect of interaction between the three independent variables of small and medium-sized enterprises has shown that there are statistically significant interaction effects among classification, types of business, and organizational cultures. The results shows that there is an organizational culture suitable for each industry classification and type of business of an entity, and is expected to be used as a basis for establishing promotion policies related to the incubation and commerciality of small and medium-sized venture companies in the future.

• Journal of Korean Society of Rural Planning
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• v.25 no.4
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• pp.77-86
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• 2019

The purpose of this study is to survey and analyze the operating state and characteristics of domestic and foreign green care, prioritize the facilities and programs for green care introduction through expert survey of importance, and thereby to provide a basic material for introducing green care in facilities in Rural Development Project districts, including domestic rural experience facilities. Domestic and foreign literature was analyzed in order to classify the necessary facilities programs, of green care, and the analysis results were modified and supplemented through Expert Delphi Survey. Based on the results, AHP based importance survey was conducted. In terms of the facilities and programs for green care introduction, necessary facilities (H/W) were categorized into four types (accommodation facility, resting facility, experience facility, therapy facility) and S/W programs into three types (learning experience type, therapy type, and care type). To verify the reliability of the AHP based importance survey, Consistency Index (C.I.) was analyzed. As a result, the C.I. value of nine respondents ranged from 0.000 to 0.083 so that the survey was found to have high consistency. The importance of S/W programs was 0.627, and that of H/W facilities was 0.373. For green care introduction, programs were found to be more important. Regarding the categories of necessary facilities, therapy facility had the highest value, or 0.348; experience facility 0.253; accommodation facility 0.211; resting facility 0.188. Therefore, therapy facility and experience facility were found to be important. In case of S/W programs, therapy type had the highest value, or 0.499, and learning experience type (0.255) and care type (0.246) were similarly important. Generally, the categories that had high importance values tended to show a remarkable difference in importance of their sub categories. In particular, facilities or therapy programs using natural ecology and forests were found to be highly important. In conclusion, it is required to actively review the introduction of active programs using resources, such as existing experience facilities and accommodation facilities and villages forests, and programs making the body and soul comfortable, such as natural ecology experience, Green Shower, and horticulture activity.

• Journal of the Korean Applied Science and Technology
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• v.37 no.5
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• pp.1229-1238
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• 2020

The purpose of this study is to clarify the psychological importance of golf player's clothing selection by phenomenological analysis. The study subjects were male and female golf players who participated in the golf tour from October 2017 to March 2018, and a total of 4 male players and 2 female players were selected using the snow ball sampling method. For data analysis, we first coded what we got through in-depth interviews and observations of participation to be organized and analyzed first. Second, classification was conducted based on major themes or phenomena, and meaningful interpretation and research were conducted. In addition, to increase the truth and validity of this study, the true value, applicability, consistency and neutrality of the qualitative research process proposed by Guba & Lincoln (1981). The results of the analysis are as follows. Golf-wear for me, Jinx, My golf wear are my face. Conclusion, Through this study, you can understand the psychological implications of the golf-wear chosen by the golf player and expect positive effects to provide golf player's feedback in the course of making the golf-wear.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.141-153
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• 2010

The study is about the development of operating speed prediction models aimed for an evaluation of design consistency of four lane rural roads. The main differences of this study relative to previous research are the method of data collection and classification of road alignments. The previous studies collected speed data at several points in the horizontal curve and approaching tangent. This method of collection is based on the assumption that acceleration and deceleration only occurs at horizontal tangents and the speed is kept constant at horizontal curves. However, this assumption leads to an unreliable speed estimation, so drivers' behavior is not well represented. Contrary to the previous approach, speed data were collected with one and data analysis using a speed profile is made for data selection before building final models. A total of six speed prediction models were made according to the combination of horizontal and vertical alignments. The study predicts that the speed data analysis and selection for model building employed in this study can improve the prediction accuracy of models and be useful to analyze drivers' speed behavior in a more detailed way. Furthermore, it is expected that the operating speed prediction models can help complement the current design-speed-based guidelines, so more benefits to drivers as real road users, rather than engineers or decision makers, can be achieved.