• Journal of KIISE:Databases
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• v.37 no.3
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• pp.127-136
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• 2010

With rapid growth of information and computer communication technologies, the numbers of digital documents including multimedia data have been recently exploded. In particular, news video database and news video mining have became the subject of extensive research, to develop effective and efficient tools for manipulation and analysis of news videos, because of their information richness. However, many research focus on browsing, retrieval and summarization of news videos. Up to date, it is a relatively early state to discover and to analyse the plentiful latent semantic knowledge from news videos. In this paper, we propose the news video mining system based on multi-modal approach and text mining, which uses the visual-textual information of news video clips and their scripts. The proposed system systematically constructs a taxonomy of news video stories in automatic manner with hierarchical clustering algorithm which is one of text mining methods. Then, it multilaterally analyzes the topics of news video stories by means of time-cluster trend graph, weighted cluster growth index, and network analysis. To clarify the validity of our approach, we analyzed the news videos on "The Second Summit of South and North Korea in 2007".

• The Journal of Korean Academy of Sensory Integration
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• v.20 no.2
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• pp.1-10
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• 2022

Objective : This study aimed to investigate the importance, performance, and educational needs of sensory integration intervention competency for newly employed therapists who use sensory integration intervention. Methods : The general characteristics, importance, performance, and educational needs of sensory integration intervention competency were investigated for therapists with less than three years of experience in sensory integration intervention. Educational needs and rankings were identified through Borich needs analysis. Results : The competency cluster that newly employed therapists perceived as the most important but with the lowest performance level was "Expertise," and the demand of the "Expertise" competency cluster was also the highest in the analysis of educational needs. The difference in importance and performance in all sub-competencies was statistically significant. In the Borich needs analysis, the rank of educational needs was derived as follows: "Evaluation skill" (5.56), "Analysis skill" (5.50), and "Overall knowledge of occupational therapy" (5.47). Conclusion : It was found that the newly employed therapist using sensory integration intervention recognized professional competency as the most important, while also recognizing that their professional competency was low. Accordingly, education to enhance professional competency was most needed. This study presented basic data for the direction of education to strengthen competency in consideration of the educational needs of newly employed therapists.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.3
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• pp.169-189
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• 2023

The study aims to synthesize the discussion of the innovation district and suggest an alternative to the governance system of the innovation district. Cluster policies that focus on industrial specialization, networking, value chains, and industrial ecosystems have shown some problems and limits in advanced industrial economies. The innovation district, suitable for the era of urban innovation, convergence of industry, housing, leisure, and related variety, emphasizes cooperation through the convergence of various innovations, workshops and industries, and communities. It is important to build a quintuple helix based on cooperative governance through public-private partnerships, integrate the physical and cultural atmosphere, and service industries that strengthen the place prestige. Beyond the industrial aspect, innovation districts can facilitate changes in urban amenities and lifestyles and creative atmosphere, such as diversity, lifestyle, charms, and openness, and promote social vitality and economic interactions. The governance of innovative districts can promote inter-organizational exchanges, and combinations. When knowledge is created through exchanges between companies, it also affects changes in the governance system, evolving from a rigid and centralized system to an open, dynamic, and organic system. Through the innovation policy, the existing Central Business Districts (CBD) can be able to be transformed into a Central Lifestyle Districts (CLD).

• 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.

• Journal of the Korean Society for information Management
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• v.33 no.3
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• pp.63-83
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• 2016

As the usage of information resources produced in various media and forms has been increased, the importance of metadata as a tool of information organization to describe the information resources becomes increasingly crucial. The purposes of this study are to analyze and to demonstrate the intellectual structure in the field of metadata through co-word analysis. The data set was collected from the journals which were registered in the Core collection of Web of Science citation database during the period from January 1, 1998 to July 8, 2016. Among them, the bibliographic data from 727 journals was collected using Topic category search with the query word 'metadata'. From 727 journal articles, 410 journals with author keywords were selected and after data preprocessing, 1,137 author keywords were extracted. Finally, a total of 37 final keywords which had more than 6 frequency were selected for analysis. In order to demonstrate the intellectual structure of metadata field, network analysis was conducted. As a result, 2 domains and 9 clusters were derived, and intellectual relations among keywords from metadata field were visualized, and proposed keywords with high global centrality and local centrality. Six clusters from cluster analysis were shown in the map of multidimensional scaling, and the knowledge structure was proposed based on the correlations among each keywords. The results of this study are expected to help to understand the intellectual structure of metadata field through visualization and to guide directions in new approaches of metadata related studies.

• Journal of Nutrition and Health
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• v.53 no.5
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• pp.532-546
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• 2020

Purpose: Although the number of cancer survivors is increasing because of early diagnosis and better treatment, they are worried about relapses and metastasis. This study examined the dietary safety management awareness, capacity, and behavior of cancer survivors. Methods: Data were collected from 233 cancer survivors in Daegu and Gyeongbuk areas using a self-administered 5-Likert questionnaire from March to May 2018. Frequency analysis, one-way analysis of variance, factor analysis, reliability analysis, and correlation analysis were analyzed using the SPSS. Results: The average score for each factor was as follows: importance of weight management (3.83), education requirement (3.79), unhealthy diet (reverse, 3.64), food safety anxiety (3.34), lack of awareness of over and malnutrition (reverse, 3.26), obsession (3.23), cooking capacity (3.16), health-function pursuit (3.04), balanced diet (2.93), and chronic disease anxiety (2.64). The average dietary safety competency factors were significantly lower among the male survivors, aged 60-80 years, lower economic condition, and less nutritional supplement intake. Female survivors comprised the highest proportion with high health management and cooking capacity, while men had the lowest of all the factors (p < 0.001). The group that was low in all three capacity factors had a significantly lower average score of difficulty in acquiring knowledge (reverse), lack of awareness of over- and malnutrition (reverse), importance of weight management, education requirement, knowledge, balanced diet, and health-functional pursuit compared to the other groups (p < 0.001). Conclusion: To effectively manage health, dietary safety management education should be differentiated and actively conducted according to sex, age, cancer diagnosis time, economic status, nutritional supplement intake, and the capacity cluster of cancer survivors.

• Management & Information Systems Review
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• v.39 no.3
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• pp.53-82
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• 2020

Daejeon Metropolitan City has the best innovation capability infrastructure (ICT) required for the 4th industry. Nevertheless, there are scattered factors that hinder the industrial ecosystem. In this study, the factor of job creation was approached from the viewpoint of organizational ecology in consideration of regional characteristics during the 4th Industrial Revolution.That is, the case of job creation through overseas ICT-based clusters (or cities) was examined. Then, the factors of organizational ecology, 'niche', 'variation', 'selection', and 'retention' were derived. Through this process, we explored the environment surrounding Daejeon Metropolitan City and benchmarked lessons from existing overseas cluster cases. As a result, we discover the 'niche' of ICT-based job creation and suggest strategies for the 'variation' process to survive in the ecosystem and how to be 'retention' in the ecosystem. n conclusion, the strategy of the organizational ecological approach to establish itself as a metropolitan city as the strength of Daejeon city and the 'innovation hub' that is evident, such as '4th Industrial Revolution City', 'Innovation City Designation', and 'Secure Excellent Capability of SW' Insist on need. Through this study, we hope that there will be a theoretical contribution to the prior research lacking from original research such as the scarcity of ICT-based job creation research in response to the era of the fourth industrial revolution, recognition of the importance of the region in job creation, and presentation of an organizational ecological approach of sustainable clusters.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.2
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• pp.125-146
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• 2020

There is an increasing need to foster new industries at the local level. This study aims to analyze the spatial patterns of new industries in Korea from 2007-2017 and to figure out its determinants of agglomeration in 2017. Through this study, it is found that new industries are unevenly distributed around Seoul Metropolitan Area(SMA). The regional disparity between SMA and non-SMA is prominent. Furthermore, new industries represent a strong spatial positive autocorrelation, showing a strong concentration on a few regions in Korea. This study explores the determinants on agglomeration of new industries with spatial statistical model. From the results of spatial error model, it is indicated that the number of graduate students, the ratio of technology based start-ups, and the number of elementary, middle, and high schools have a significant effect on new industries. In addition, the specialization and the diversity of industrial structure on knowledge-based manufacturing industries and knowledge-based service industries have been statistically significant. This study provides implications that non-SMA needs policies with respect to attracting talented people, developing human resources, and improving regional environment in order to improve regional competitiveness in promoting new industries.

• Journal of KIISE
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• v.43 no.1
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• pp.87-95
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• 2016

Recently, due to the development of the Internet and electronic devices, there has been an enormous increase in the amount of available knowledge and information. As this growth has proceeded, studies on large-scale ontological reasoning have been actively carried out. In general, a machine learning program or knowledge engineer measures and provides a degree of confidence for each triple in a large ontology. Yet, the collected ontology data contains specific uncertainty and reasoning such data can cause vagueness in reasoning results. In order to solve the uncertainty issue, we propose an RDFS reasoning approach that utilizes confidence values indicating degrees of uncertainty in the collected data. Unlike conventional reasoning approaches that have not taken into account data uncertainty, by using the in-memory based cluster computing framework Spark, our approach computes confidence values in the data inferred through RDFS-based reasoning by applying methods for uncertainty estimating. As a result, the computed confidence values represent the uncertainty in the inferred data. To evaluate our approach, ontology reasoning was carried out over the LUBM standard benchmark data set with addition arbitrary confidence values to ontology triples. Experimental results indicated that the proposed system is capable of running over the largest data set LUBM3000 in 1179 seconds inferring 350K triples.

• Knowledge Management Research
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• v.22 no.4
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• pp.217-235
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• 2021

As 49% of the world's population uses social media platforms, communication and content sharing within social media are becoming more active than ever. In this environmental base, the one-person media market grew rapidly and formed public opinion, creating a new trend called sell-sumer. This study defined new types of influencers by product category by analyzing the subject concentration of the commercial/non-commercial keywords of influencers and the impact of the ratio of commercial postings on sales. It is hoped that influencers working within social media will be helpful to new sales strategies that are transformed into sell-sumers. The method of this study classifies influencers' commercial/non-commercial posts using Python, performs text mining using KoNLPy, and calculates similarity between FastText-based words. As a result, it has been confirmed that the higher the keyword theme concentration of the influencer's commercial posting, the higher the sales. In addition, it was confirmed through the cluster analysis that the influencer types for each product category were classified into four types and that there was a significant difference between groups according to sales. In other words, the implications of this study may suggest empirical solutions of social media sales strategies for influencers working on social media and marketers who want to use them as marketing tools.