• Journal of the Economic Geographical Society of Korea
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• v.8 no.1
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• pp.107-130
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• 2005

The purpose of this study were to examine the spatial distribution and locational characteristics of the Internet movie industry, to seize the value chains of the Internet movie industry and distribution structure of the internet movies, and to analyze the vertical-horizontal linkages of the Internet movie firms and their spatial clustering. Recently, the Internet movie industry has developed rapidly due to the development of techniques related to movie contents, the broadband Internet and a wide expansion of the high speed communication network and the increase of demands on movie contents. It has been found that 74$\%$ of the Internet movie industry was concentrated in Seoul. Especially this industry was quite agglomerated in several dongs of Gangnam-gu such as Yoeksam, Nonhyeon, Daechi and Samseung. The proximity of the same or similar business firms was the primary locational factors that influenced on the Internet movie industry, followed by other factors such as convenience of transportation, the reputation of the place, and proximity of technically supporting firms. The Internet movie industry had the valve chain composed of 'contents suppliers $\rightarrow$ contents distributors $\rightarrow$ service providers', However, there were also a complex network of the VOD copyright owner, VOD syndicator, and service providers in each category of the value chain. This research clearly revealed that the localized clustering has been formed with the movie contents providers, technically supporting firms, client firms, and cooperative-affiliated business firms related to the Internet movie industry, Additionally, a very intimate network has been established within the clustering, inducing the enlargement of the market and decrease of costs, the co-sharing of tacit knowledge, and the synergy effect.

• Korean Journal of Plant Resources
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• v.26 no.3
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• pp.362-369
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• 2013

Agastache rugosa, a member of the mint family (Labiatae), is a perennial herb widely distributed in East Asian countries. It is used in traditional medicine for the treatment of cholera, vomiting, and miasma. This study assessed the genetic diversity and population structures on 65 accessions of Korean mint A. rugosa germplasm based on inter simple sequence repeat (ISSR) markers. The selected nine ISSR primers produced reproducible polymorphic banding patterns. In total, 126 bands were scored; 119 (94.4%) were polymorphic. The number of bands generated per primer varied from 7 to 18. A minimum of seven bands was generated by primer 874, while a maximum of 18 bands was generated by the primer 844. Six primers (815, 826, 835, 844, 868, and 874) generated 100% polymorphic bands. This was supported by other parameters such as total gene diversity ($H_T$) values, which ranged from 0.112 to 0.330 with a mean of 0.218. The effective number of alleles ($N_E$) ranged from 1.174 to 1.486 with a mean value of 1.351. Nei's genetic diversity (H) mean value was 0.218, and Shannon's information index (I) mean value was 0.343. The high values for total gene diversity, effective number of alleles, Nei's genetic diversity, and Shannon's information index indicated substantial variations within the population. Cluster analysis showed characteristic grouping, which is not in accordance with their geographical affiliation. The implications of the results of this study in developing a strategy for the conservation and breeding of A. rugosa and other medicinal plant germplasm are discussed.

• Journal of Nutrition and Health
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• v.44 no.6
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• pp.527-536
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• 2011

This study was performed to analyze children's perceptions and practice levels according to gender and obesity status using a dietary life safety index. A national survey was conducted on fifth grade children (n = 2,400), who were selected using three-stage stratified cluster sampling from 16 provinces. The average height was 144.8 cm, and weight was 38.8 kg. The average body mass index was 18.4 kg/$m^2$ and underweight, overweight, and obese children were identified using the 2009 KHNANES cutoff values, which were 5.3%, 10%, and 5.9%, respectively. The perception and practice scores for hand-washing prior to eating were high and the score for willing to buy at a clean store was also high. However, students answered that the hygiene level of food stores near the school was poor. More students skipped breakfast than lunch or dinner. The frequency scores for fruit and vegetables were significantly higher for girls than those for boys. Students had a good understanding of nutrition labeling but did not frequently check the label. Seventy-five percent of the students tried to avoid high calorie foods with low nutritional value, but only 40% had the appropriate knowledge about high calorie foods with low nutritional value. Girls had better dietary life perception and practice levels than those of boys. No differences in perception or practice levels were observed based on obesity status. Nutrition education on the importance of eating breakfast and having accurate knowledge on nutrition labeling and high calorie foods with low nutritional value is needed. Behavior-centered education should be implemented to improve the perceptions and practice level of student's dietary life.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1131-1131
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• 2001

To develop a nondestructive quality evaluation technique of fruits, a K-mean algorism is applied to near infrared (NIR) spectroscopy of apples. The K-mean algorism is one of neural network partition methods and the goal is to partition the set of objects O into K disjoint clusters, where K is assumed to be known a priori. The algorism introduced by Macqueen draws an initial partition of the objects at random. It then computes the cluster centroids, assigns objects to the closest of them and iterates until a local minimum is obtained. The advantage of using neural network is that the spectra at the wavelengths having absorptions against chemical bonds including C-H and O-H types can be selected directly as input data. In conventional multiple regression approaches, the first wavelength is selected manually around the absorbance wavelengths as showing a high correlation coefficient between the NIR $2^{nd}$ derivative spectrum and Brix value with a single regression. After that, the second and following wavelengths are selected statistically as the calibration equation shows a high correlation. Therefore, the second and following wavelengths are selected not in a NIR spectroscopic way but in a statistical way. In this research, the spectra at the six wavelengths including 900, 904, 914, 990, 1000 and 1016nm are selected as input data for K-mean analysis. 904nm is selected because the wavelength shows the highest correlation coefficients and is regarded as the absorbance wavelength. The others are selected because they show relatively high correlation coefficients and are revealed as the absorbance wavelengths against the chemical structures by B. G. Osborne. The experiment was performed with two phases. In first phase, a reflectance was acquired using fiber optics. The reflectance was calculated by comparing near infrared energy reflected from a Teflon sphere as a standard reference, and the $2^{nd}$ derivative spectra were used for K-mean analysis. Samples are intact 67 apples which are called Fuji and cultivated in Aomori prefecture in Japan. In second phase, the Brix values were measured with a commercially available refractometer in order to estimate the result of K-mean approach. The result shows a partition of the spectral data sets of 67 samples into eight clusters, and the apples are classified into samples having high Brix value and low Brix value. Consequently, the K-mean analysis realized the classification of apples on the basis of the Brix values.

• The Korean Journal of Food And Nutrition
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• v.29 no.1
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• pp.87-103
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• 2016

The purpose of this study was to analyze the food-related lifestyle choices of female baby boomers and to investigate variables regarding home meal replacement (HMR) buying behaviors and future needs. This study was conducted on 358 female baby boomers 53 years of age living in Gyeonggi and near Seoul. Out of 420 distributed questionnaires, 358 were returned and used for analysis (response rate: 85.2%). As a result of cluster analysis, three groups were identified based on the food-related lifestyles : a value-seeking group, a convenience-seeking group, and a health-seeking group. Among the three groups, there were significant differences in two socio-demographic characteristics, education level (p<0.05) and regular exercise (p<0.01), and in several health- and food-related habits, type of breakfast (p<0.01), type of dinner (p<0.05), dinner details (p<0.05), frequency of eating out (p<0.05), and eating habits score (p<0.01). The health-seeking group was significantly more likely to purchase ready to cook (RTC) items (59.1%) than were the other groups (p<0.001). However, the ratio of HMR purchasing for the purpose of meal replacement (p<0.05) and an HMR purchasing frequency of more than twice a week (p<0.001) were significantly lower in the health-seeking group. Reasons for selecting HMR showed a similar tendency among groups in taste (26.2%), convenience (18.7%), price (16.9%), safety (15.3%) and type of food (14.3%). However, the satisfaction scores for hygiene and safety reported by the health-seeking group were significantly lower than those reported by the other groups. More than two-thirds of all respondents were willing to purchase HMR in the future, though there were significant differences according to group: convenience-seeking group, 73.1%, health-seeking group, 70.1%, and value-seeking group, 65.7% (p<0.05). Our results suggest that the number of baby boomers purchasing HMR products will continue to grow and baby boomers will want HMR products to be more healthy (52.0%), safe (28.5%) and delicious (13.4%). An emphasis on taste was high in the convenience-seeking group, whereas an emphasis on health was high in the health-seeking and value-seeking groups. In conclusion, this study shows various food-related lifestyles amongst female baby boomers and illustrates the need to develop HMR marketing strategies targeted to these different lifestyles.

• Journal of the Korea Computer Graphics Society
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• v.23 no.4
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• pp.31-40
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• 2017

As 3D cell culture has recently become possible, it has been able to observe a 3D shape of cell and volume. Generally, 3D information of a cell should be observed with a special microscope such as a confocal microscope or an electron microscope. However, a confocal microscope is more expensive than a conventional microscope and takes longer time to capture images. Therefore, there is a need for a method that can reconstruct the 3D shape of cells using a common microscope. In this paper, we propose a method of reconstructing 3D cells using the focus estimator value from multi-focal fluorescence images of cells. Initially, 3D cultured cells are captured with an optical microscope by changing the focus. Then the approximate position of the cells is assigned as ROI (Region Of Interest) using the circular Hough transform in the images. The MSBF (Modified Sliding Band Filter) is applied to the obtained ROI to extract the outlines of the cell clusters, and the focus estimator values are computed based on the extracted outlines. Using the computed focus estimator values and the numerical aperture (NA) of the microscope, we extract the outline of the cell cluster considering the depth and reconstruct the cells into 3D based on the extracted outline. The reconstruction results are examined by comparing with the combined in-focus portions of the cell images.

• Korean Journal of Ecology and Environment
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• v.51 no.4
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• pp.354-364
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• 2018

In this study, we surveyed the fish community at the four sites(St. 1, 3, 5, 7) in Jungrang Stream from 2008 to 2016. We found 37 species grouped into nine families. There were three exotic species; Cyprinus carpio, Carassius cuvieri and Micropterus salmoides after rainfall. Dominant species was Zacco platypus (57.3%) and subdominant species was Carassius auratus(10.4%) in a community. The water quality, surveyed at the six sites(St. 1, 2, 3, 4, 5, 6), based on eight factors(Water temperature, pH, DO, BOD, SS, EC, TN and TP), largely varied depending on each site and period. Minimum values in four factors(BOD, EC, TN and TP) were observed in rainy season, indicating an ionic and nutrient dilution of stream water by precipitation. In contrast, a maximum value in SS was occurred in rainy season at St. 2 and St. 5. The precipitation, Maximum value observed in July ($497.5{\pm}297.2mm$), minimum value in January ($12.9{\pm}8.6mm$). In July and August, the precipitation was divided into before and after the rainfall season in Jungrang stream. Using cluster analysis three fish sites (St. 1, 3, 5) were identified as significantly influence 11 fish species; Hemiculter eigenmanni, Squalidus japonicus coreanus, Hemibarbus labeo, Gnathopogon strigatus, Pungtungia herzi, Rhynchocypris oxycephalus, Pseudogobio esocinus, Pseudorasbora parva, Cyprinus carpio, Carassius auratus and Zacco platypus by rainfall.

• Journal of Korean Society of Forest Science
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• v.110 no.2
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• pp.141-154
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• 2021

The change in vegetation structure along elevational gradients on the southeastern part of Mt. Hallasan was studied. Vegetation data were collected with 59 quadrates located from 16 to 1,565 m with 100 m intervals. Community types were classified using cluster analysis, and species composition and diversity were analyzed along elevational gradients. The vegetation was classified into seven, namely, type 1 Quercus serrata community, type 2 Carpinus tschonoskii community, type 3 Carpinus laxiflora community, type 4 Pinus densiflora community, type 5 Abies koreana community, type 6 Castanopsis sieboldii community, and type 7 Quercus acuta community. The species with a high importance value in tree layer in each elevational zone were C. sieboldii and Q. acuta at 100-600 m; C. laxiflora, Q. serrata, and C. tschonoskii at 700-800 m; P. densiflora at 1,100-1,200 m; and Abies koreana at 1,500-1,600 m. The species diversity indicated higher value at 700-800 m, 1,200-1,300 m and 1,400-1,500 m than at the other elevation.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.195-204
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• 2023

In this study, prompt engineering that improves prompts was explored to improve the performance of teaching and learning materials recommendations using generative artificial intelligence such as GPT and Stable Diffusion. Picture materials were used as the types of teaching and learning materials. To explore the impact of the prompt composition, a Zero-Shot prompt, a prompt containing learning target grade information, a prompt containing learning goals, and a prompt containing both learning target grades and learning goals were designed to collect responses. The collected responses were embedded using Sentence Transformers, dimensionalized to t-SNE, and visualized, and then the relationship between prompts and responses was explored. In addition, each response was clustered using the k-means clustering algorithm, then the adjacent value of the widest cluster was selected as a representative value, imaged using Stable Diffusion, and evaluated by 30 elementary school teachers according to the criteria for evaluating teaching and learning materials. Thirty teachers judged that three of the four picture materials recommended were of educational value, and two of them could be used for actual classes. The prompt that recommended the most valuable picture material appeared as a prompt containing both the target grade and the learning goal.

• Information Systems Review
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• v.21 no.3
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• pp.111-129
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• 2019

Recently, artificial intelligence (AI)-enabled products and services such as smartphones, smart speakers, chatbots are being released due to advances in AI technology. Thus researchers making effort to reveal that consumers' intention to adopt AI-enabled products. Yet, little is known about the intended adoption of AI-enabled products. Because most of studies has been not consideredthe perceived utility value of consumers for each attribute by classified based on the characteristics of AI-enabled products. Therefore, the purpose of this study is to investigate the difference in importance between attributes that affect the intention to adopt of AI-enabled products. For this, first, identified and classified the attributes of AI-enabled products based on IS Success Model of DeLone and McLean. Second, measured the utility value of each attribute on the adoption of AI-enabled products through conjoint analysis. And we employed construal level theory to see whether there are differences in the relative importance of AI-enabled products attributes depending on the temporal distance. Third, we segmented the market based on the utility value of each respondent through cluster analysis and tried to understand the characteristics and needs of consumers in each segment market. We expect to provide theoretical implications for conceptually structured attributes and factors of AI-enabled products and practical implications for how development efforts of AI-enabled products are needed to reach consumers need for each segment.