• Journal of Technology Innovation
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• v.19 no.1
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• pp.55-78
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• 2011

The social impact of science and technology is increasing, the meaning of technology assessment is not small in modern society, Specially, the technology assesment(TA) has been institutionalized and performed by Korean administration and its official results has reflected directly in the S&T policy. Therefore, the technology assesment is a device that prepare the negative effects of S&T and the social controversy in advance. To select the target technology of technology assessment will be done carefully in various perspective and concerned with the characteristics of technology assessment emphasizing social assessment, the institutional system of selecting one technology in each year and the contents and methods of evaluation that are determined in accordance with technology characteristics. However, the method of selecting target technology in TA is mostly peformed by qualitative discussion and vote rather than by reflecting various opinion and understanding TA until now. In this paper, we developed the indicator has to be considered to select target technology for TA by using factor analysis. Developed indicator is consist of five factor, such as the need for social consensus and the size of social/cultural impact etc., and we weight each factor by using Analytic Hierarchy Process(AHP). Futhermore, we show the example how to applicate directly these indicator and weights to select target technology and suggest institutional application in TA. Though using developed indicator in this paper, we expect to select appropriate technology for institutional TA and the application of TA results in society and public policy can be strengthened.

• Korean Management Science Review
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• v.28 no.2
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• pp.63-74
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• 2011

As business environment has become more competitive, the R&D strategies of firms have been regarded more important. Patent has information about technology which affects a firm's profit and it is considered as resources which have provided appropriate data for research of innovations and trends in technology. And patent indicators are known as qualitative representation of technology quality in an objective view. Also, they are available for the continuous and systematic analysis. However, most previous studies have focused on developing patent indicators to investigate patent value and characteristics. Furthermore they have limitations that most results is not significant that patent indicators have effect on firm performance-Tobin's q, Intangible assets based on balance sheet, sales and etc. Thus, the purpose of this paper is to propose proper a factor to represent a firm performance and to analyze causal relationship between patent indicators and firm performance. Intangible assets based on market value are employed as one of most significant firm performance indicator. The results indicate that intangible assets are appropriate for analyzing causal relation between patent and a firm performance with 7 significant indicators among 10 patent indicators. Considering firm's exogenous factors, regression analysis of each data for five years is performed. This result is similar to regression analysis of full data for all years.

• Journal of the Korean Geotechnical Society
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• v.19 no.5
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• pp.319-326
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• 2003

In site investigation for tunnel designs, nowadays, geophysical exploration such as seismic exploration and electric resistivity exploration as well as drilling logging is frequently carried out. A method which can systematically make the utmost use of all available data obtained from investigation, therefore, is strongly required for the optimal evaluation of ground conditions in terms of rock mass class, etc. Many researchers have proposed using qualitative data to cope with the lack of quantitative data. In this study, an evaluation technique of rock mass classes in undrilled region was proposed based upon multiple indicator kriging method which is a geostatistical technique. It was shown that two types of data with different degree of uncertainty, for example, drilling logging data and geophysical exploration data, could be simultaneously utilized in evaluating rock mass classes for a real tunnel design.

• The Korean Journal of Applied Statistics
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• v.27 no.2
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• pp.227-237
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• 2014

We use the regression model with the indicator variables in the case that we use qualitative variables as some predictor variables in regression analysis. We use the ANCOVA(Analysis of Covariance) model when comparing the response variable among groups while statistically controlling for variation in the response variable caused by a variation in the covariate. DD-plot can be used as a graphical exploratory data analysis tool before the confirmatory data analysis. With the DD-plot, we can discriminate the difference of groups in the regression model with the indicator variables or the ANCOVA model at a glance. Making DD-plot does not demand the statistical model assumption about error terms in regression model. Several examples show the usefulness of DD-plots as a graphical exploratory data analysis tool for the regression analysis.

• Journal of Sensor Science and Technology
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• v.13 no.1
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• pp.47-55
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• 2004

This paper presents drug release properties of active drug delivery system (DDS) using volume change of polypyrrole (PPy). The incorporation of various chemical substances into the PPy and controlling its release with the externally applied voltage to the PPy are possible. In order to confirm possibility for drug delivery system qualitatively, indicator(phenol red) was examined as a dopant of PPy. The applied voltage to the PPy electrode was set to -2 V and this negative voltage makes the anionic indicator released in saline solution. After qualitative analysis, in order to confirm quantitative drug release characteristic of PPy, salicylate which is one of the aspirin substance was used as a dopant of PPy. As a result, the salicylate release characteristics with time was thoroughly investigated while varying the electrode area, polymerization time, the applied voltage for drug release. Based on these quantitative results, a preliminary experiment was carried out to check the feasibility of the PPy applicable to the neuronal system.

• Journal of Families and Better Life
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• v.19 no.5
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• pp.51-66
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• 2001

This study attempted to examine the changing patterns of marital love constructs among married men and women in Korea. It is based on our prior research that showed each of the 3 dimensions of marital love(intimacy, passion, and commitment derived from Stermberg’s Triangular Theory of Love) shaped U pattern as the marriage continued. We analyzed 1687 respondents’answers by principal axis factoring with contextual point of view including individual, familial, and socio-cultural development. The results are as follows. First, the love constructs of Korean men and women in their marriage show different qualitative patterns as the marriage continued. Second, intimacy is the most powerful indicator of love, coming out the first factor in all the stages of marital relationships. Third we can see marital stability from the locus of commitment with other components of love and it could be apply to marital educational program for promoting marital stability. Forth, passion is found separated behavioral from perceived dimension except the first marital stage. As conclusion, it need to analyze with family life cycle. birth and marriage cohort groups for examining closely the causes of this qualitative changes in marital relationships.

• Educational Technology International
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• v.23 no.2
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• pp.157-181
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• 2022

Scale scores for cognitive domains have been used as an important indicator for both academic achievement and clinical diagnosis. For example, in education, Cognitive Abilities Test (CogAT) has been used to measure student's capability in academic learning. In a clinical setting, Cognitive Impairment Screening Test utilizes items measuring cognitive ability as a dementia screening test. We demonstrated a procedure of generating cognitive ability test items similar as in CogAT but the theory associated with the generation is totally different. When creating cognitive test items, we applied automatic item generation (AIG) that reduces errors in predictions of cognitive ability but attains higher reliability. We selected two cognitive ability test items, categorized as a time estimation item for measuring quantitative reasoning and a paper-folding item for measuring visualization. As CogAT has widely used as a cognitive measurement test, developing an AIG-based cognitive test items will greatly contribute to education field. Since CLASS is the only LMS including AIG technology, we used it for the AIG software to construct item models. The purpose of this study is to demonstrate the item generation process using AIG implemented within CLASS, along with proving quantitative and qualitative strengths of AIG. In result, we confirmed that more than 10,000 items could be made by a single item model in the quantitative aspect and the validity of items could be assured by the procedure based on ECD and AE in the qualitative aspect. This reliable item generation process based on item models would be the key of developing accurate cognitive measurement tests.

• Korean Journal of Health Education and Promotion
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• v.24 no.3
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• pp.119-128
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• 2007

The purpose of this study is to develop Web database for healthy city that contains healthy city indicators for making city health plans, setting project priorities, monitoring projects, and evaluating healthy city projects, effectively. Using Delphi survey method for identifying indicator domains and indicators, we extracted nine domains with thirty-four healthy city indicators. Based on the appraisals of DB users about the contents of DB, a web database for healthy city Wonju was constructed. We developed a web database system for the purposes of sharing high quality health related data for managing and evaluating healthy city projects. The web database currently provides variety data in the web address, http://healthycity.wonju.go.kr/index.html. The web DB comprised with major healthy city indicators that are the most important indicators, healthy city indicator data that have a variety data set for encompassing all domain areas such as city infrastructure, health medicine, economies, and all other related areas and qualitative data that contains policy reports, research results, healthy city information and all other tips. A database of healthy city is very essential and important because it makes healthy city projects alive by managing and sharing healthy city related data effectively. But we need to fill out some blank cells in DB because there are currently unavailable data for some indicators. In conclusion, we expect the web DB contributes information sharing of healthy city project teams and improving healthy city project quality at Wonju city in Korea.

• Journal of Korean Society on Water Environment
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• v.34 no.5
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• pp.514-536
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• 2018

GPI (Group Pollution Index) using 29 indicator groups of Korean benthic macroinvertebrates was proposed in 1992, a higher category taxa-level index developed for rapid field assessment of organic water pollution. This study was performed to revise the assessment scheme of GPI based on taxonomic performance and ecological information accumulated since 1992. The original GPI was renamed SBMI (Simple Benthic Macroinvertebrates Index), and SBMI was based on saprobic valency of 26 indicator groups composed of higher category taxa (mainly family ~ phylum) excluding some genus or species-level taxa. SBMI revealed highly significant correlation with concentration of 5-day biochemical oxygen demand ($BOD_5$) (correlation coefficient r = 0.78, n = 569 sites), total suspended solids (r = 0.69), and total phosphorus (r = 0.77). Also, SBMI revealed strong correlation with Shannon-Weaver's species diversity (r = -0.85), Margalef's species richness (r = -0.85), and McNaughton's dominance (r = 0.83). Determination coefficient of SBMI to concentration of water quality items and values of community indices such as species diversity was 3 ~ 8 % and approximately 11 ~ 14 % higher than that of GPI, respectively. Correlation between SBMI and water quality factors or community indices such as species diversity did not reveal much difference compared to that of species-level indices, such as BMI (Benthic Macroinvertebrates Index) and ESB (Ecological Score of Benthic Macroinvertebrates). SMBI is a simple-qualitative index with higher category taxa easily identified, and is applicable for rapid field assessment of water environment impairment.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.4
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• pp.31-45
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• 2020

This study suggested the planting models of Carpinus turczaninowii community to make in Badahyanggi Arboretum and was carried out to the structure of C. turczaninowii commnity in Daebu-Yeongheung Islands. In order to identify the current ecological environment, this study set to 13 plots(i.e. 100㎡) for analysing detailed structure of plant communities. The research methodology was qualitative analysis. It used TWINSPAN, PCA and Indicator Species Analysis tools which are performed well in several comparisons of classification techniques and one of the ordination techniques showed that the plant communities. The results were classified into 3 communities that C. turczaninowii-Pinus densiflora community(I), C. turczaninowii-Quercus serrata community(II) and C. turczaninowii-Platycarya strobilacea community(III). In all of communities, C. turczaninowii was dominant species in canopy layer and understory layer, the degree of closure was high. Proposed the planting models that are I~II communities based on planting status in Badahyanggi Arboretum(Island Plant Botanical Garden), the structure of plant communities, indicator species and individual distribution by DBH classes. Also, The multi-layer planting plans are necessary, such as P. strobilacea, Lindera erythrocarpa, Viburnum carlesii, V. dilatatum, Ligustrum obtusifolium, Zanthoxylum schinifolium and so on.