• Korea Science and Art Forum
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• v.21
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• pp.299-311
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• 2015

The purpose of this study was to investigate if there are any differences of convention advertising and participation behavior based on the segmented groups of convention advertising attributes. The research methods and contents of this study are as follows. From the literature, the measurement of convention advertising attributes, satisfaction, and participation behavior had been developed and utilized to collect the data. The results of factor analysis showed three underlying dimensions of convention advertising attributes. Cluster analysis showed that there were three different segmented groups such as negative, mediative, and positive groups of convention advertising attributes. Lastly, MANOVA showed that there were differences of convention advertising and participation behavior among the segmented groups. More theoretical and practical implication are discussed in the conclusion.

• Journal of Life Science
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• v.34 no.4
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• pp.254-263
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• 2024

Korean jang is a food made using fermented soybeans, and the typical products include gochujang (GO), doenjang (DO), cheonggukjang (CH), and ganjang (GA). In this study, 16S rRNA metagenome analysis was performed on a total of 200 types of GO, DO, CH, and GA using next-generation sequencing to analyze the microbial community of fermented soybean foods and compare taxonomic (biomarker) differences. Alpha diversity analysis showed that in the CHAO index, the species richness index tended to be significantly higher compared to the DO and GA groups (p<0.001). The results of the microbial distribution analysis of the GO, DO, CH, and GA products showed that at the order level, Bacillales was the most abundant in the GO, DO, and CH groups, but Lactobacillales was most abundant in the GA group. Linear discriminant analysis effect (LEfSe) analysis was used to identify biomarkers at the family and species levels. Leuconostocaceae, Thermoactinomycetaceae, Bacillaceae, and Enterococcaceae appeared as biomarkers at the family level, and Bacillus subtilis, Kroppenstedtia sanguinis, Bacillus licheniformis, and Tetragenococcus halophilus appeared at the species level. Permutational multivariate analysis of variance (PERMANOVA) analysis showed that there was a significant difference in the microbial community structure of the GO, DO, CH, and GA groups (p=0.001), and the microbial community structure of the GA group showed the greatest difference. This study clarified the correlation between the characteristics of Korean fermented foods and microbial community distribution, enhancing knowledge of microorganisms participating in the fermentation process. These results could be leveraged to improve the quality of fermented soybean foods.

• Korean journal of applied entomology
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• v.54 no.4
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• pp.409-417
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• 2015

This study aimed to summarize the characteristics of visitor experience for different market segments based on insect experience orientation in order to develop Ptecticus tenebrifer (Diptera: Stratiomyidae [Walker]) experience programs using local resources in the insect industrial market. A total of 325 effective samples were collected, and the attributes of insect experience orientation were connected to education, emotion, society, and ego. The survey respondents were students and parents of school-age children. Cluster analysis showed that the respondents were classified into two or three groups that were all found to be high in the prediction validity and discriminant analysis. Based on this result, the respondents were properly subdivided into three clusters for final analysis. Those three groups were: the passive group, the moderate group, and the active-orientation group. As a group aiming for various insect experiences, the active-orientation group consisted of parents whose children range in age from either 5 to 9 or from 10 to 14. This group was willing to spend 7 ~ 8,000 won on each experience program, and they preferred emotional experience programs. The passive and moderate orientation groups were most interested in having an educational experience. In order to increase people's interest in experience programs, education-oriented programs should be developed and promotional marketing should be reinforced. The results and implications of this study may be useful for the development of insect experience programs that can meet various visitor experience orientations as basic data that can contribute to the vitalization of the 6th industrialization plan for the insect industry.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.442-458
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• 2008

This paper aims to examine the ways in which project-based organizations (PBOs) are embedded in social networks and geographical clustering in the case of TV drama industry. PBOs refer to a variety of temporary organizational forms for the performance of tasks as to integrate diverse and specialized intellectual resources. PEOs as a flexible and innovative mode of organizing knowledge resources are becoming increasingly worthy of attention in emerging the creative economy. Evidence from interviews with core persons of PEOs like producers, directors, and writers reveals that the key operational mechanism of the project form of organization is based on the highly socialized networks via individual's reputation and past experiences. In other words, the project activity in TV drama is embedded in networks which are socially constructed. Also the geographical clustering plays an important role in PBOs and project practices in TV drama are constructed around a high degree of spatial clustering. PBOs are clustering in Kang-nam and Yeouido, where are located in independent production companies and broadcasting stations. It means that the project formation in TV drama requires geographically-clustered networks of human resources, and socially, culturally and geographically embedded latent networks of interpersonal relationships are a necessary condition of POBs in the TV drama industry.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.173-184
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• 2019

The data processing of this study is based on the word data search in social media through textom and the big data analysis is carried out and three areas (2019 Gwangju World Swimming Championships, 2019 Gwangju World Swimming Masters Competition, 2019 World Swimming Championships Problem) was consistently handled through data collection and refinement in the web environment. We applied the collected words to the program of Ucinet6, visualized them, and conducted a CONCOR analysis to grasp the similar relationship of words and to identify the cluster of common factors. As a result of the analysis, the clusters related to the 2019 Gwangju World Swimming Championships mainly consisted of four major areas of recognition and perception, mainly searching for operational aspects related to the swimming championship, and the community related to the 2019 Gwangju World Swimming Masters Competition Is mainly searched for the promotion of the Masters Competition and the aspect of the competition divided into two areas of major recognition and peripheral recognition. The cluster related to the problems of the 2019 Gwangju World Swimming Championships is divided into five areas, And they are mainly searching for the place, operation, institution, event, etc. of the problem of the swimming championship.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.2
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• pp.175-191
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• 2008

In the early stage of industrial development, most of software companies were agglomerated at the CBD(Central Business Districts) in Seoul. However, the spatial distribution pattern of Korean Software industry has been changed according to the propagation of broadband, the change in rents, the governmental policy for industrial districts. In this research, using the software year book at 1997 and 2007, the emerging new pattern was analyzed using spatial clustering analysis. As a results of research, the spatial distribution was expanded in morphological changes. However, it was found that there was not a significant difference in a degree of accumulation. In the aspect of behavioral movement of companies, they tend to be relocated from the CBD to urban fringes and their movement is related to the product life cycle in selecting the clustered place.

• Journal of the Korea Society for Simulation
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• v.31 no.2
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• pp.1-10
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• 2022

The packaging plastic manufacturing(blown film) industry has long developed in China, but most of them are small/medium-sized enterprises, and it is very rare to have appropriate operation plans suitable for their own business. The packaging plastic manufacturing industry(blown film) follows a typical Make-To-Order method, and the sequence of processing orders is very important. Waste of materials incurred by frequent conversions of production cannot be avoided, and generally, related costs incurred during conversion production are also different. Therefore, this study developed a job sequence determination model for improving operating profits using @RISK simulation software, compared and analyzed 3 actionable clustering treatment methods proposed by technical managers and field experts under the actual situation of the factory.

• The Journal of Bigdata
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• v.7 no.1
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• pp.89-97
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• 2022

Various efforts are needed to prevent accidents because ship collisions can cause various negative situations such as economic losses and casualties. Therefore, research to prevent accidents is being actively conducted, and in this study, new leading indicators for preventing ship collision accidents is proposed. In previous studies, the risk of collision was expressed in consideration of the distance between ships in a specific sea area, but there is a disadvantage that a new model needs to be developed to apply this to other sea areas. In this study, the density-based ship domain DESD (Density-based Empirical Ship Domain) including the environment and operating characteristics of the sea area was defined using AIS (Automatic Identification System) data, which is ship operation information. Deep clustering is applied to two-dimensional DESDs created for each sea area to cluster the seas with similar operating environments. Through the analysis of the relationship between clustered sea areas and ship collision accidents, it was statistically tested that the occurrence of accidents varies by characteristic of each sea area, and it was proved that DESD can be used as a leading indicator of accidents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.453-462
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• 2016

Since the Internet provides a way of expressing and sharing Internet users' mindsets, corporate marketers want to acquire measurable and actionable insights from web data. In the past, companies used to analyze the attitude, satisfaction, and loyalty of consumers toward their brands using survey data, whereas nowadays this is done using the big data extracted from Social Network Services. In this study, we propose a framework for clustering brand names using the social metrics gathered on social media. We also conduct a case study of the automobile industry to verify the feasibility of the proposed framework. We calculate the brand name distance for each pair of brand names based on the total number of times that they are mentioned together. These distances are used to project the brand name onto a 3-dimensional space using multidimensional scaling. After the projection, we found the clusters of brand names and identified the characteristics of each cluster. Furthermore, we concluded this paper with a discussion of the limitations and future directions of this research.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.5
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• pp.103-110
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• 2008

A reliable extraction of welded area is the precedent task before the detection of weld defects in industrial radiography. This paper describes an attempt to detect and extract the welded features of steel tubes from the computed radiography(CR) images. The statistical properties are first analyzed on over 160 sample radiographic images which represent either weld or non-weld area to identify the differences between them. The analysis is then proceeded by pattern classification to determine the clustering parameters. These parameters are the width, the functional match, and continuity. The observed weld image is processed line by line to calculate these parameters for each flexible moving window in line image pixel set. The local statistic line-clustering method is used as the classifier to recognize each window data as weld or non-weld cluster. The sequential procedure is to track the edge lines between two distinct regions by iterative calculation of threshold, and it results in extracting the weld feature. Our methodology is concluded to be effective after experiment with CR weld images.