• KIPS Transactions on Software and Data Engineering
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• v.6 no.7
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• pp.371-378
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• 2017

Recently, with the spread of smart device and the introduction of web services, the data is rapidly increasing online, and it is utilized in various fields. In particular, the emergence of social media in the big data field has led to a rapid increase in the amount of unstructured data. In order to extract meaningful information from such unstructured data, interest in big data technology has increased in various fields. Big data is becoming a key resource in many areas. Big data's prospects for the future are positive, but concerns about data breaches and privacy are constantly being addressed. On this subject of big data, where positive and negative views coexist, the research of analyzing people's opinions currently lack. In this study, we compared the changes in peoples perception on big data based on unstructured data collected from the social media using a text mining. As a results, yearly keywords for domestic big data, declining positive opinions, and increasing negative opinions were observed. Based on these results, we could predict the flow of domestic big data.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.515-527
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• 2014

The purpose of the study is to find factors to measure Museum Service Quality (SERVQUAL) and Visitors' motivation. The survey was analyzed with 214 questionnaires out of 230 ones and it was conducted by those who have once visited the National Museum of Korea. Pre-test was conducted from May, 2013. Deriving adequate Service Quality Measures in Museum, factor analysis was applied. From 29th of July 2013 to 23rd of August 2013, surveys were conducted through online and off-line. Using the SPSS 20.0 statistics, Population analysis was applied frequently. In order to ensure the reliability, cronbach ${\alpha}$ value was evaluated. Fit of the research model and the suitability of the path coefficients were evaluated through AMOS to ensure the validity and reliability. As a result, in terms of Analysis on Service Quality, it influenced significantly on the degree of satisfaction. Visitors' motivation also had partial influence on the degree of satisfaction. Moreover, Behavioral Intentions were also influenced by the degree of satisfaction.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.5 no.4
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• pp.69-94
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• 2010

With the liberalization of distribution services industry since 1996 as well as changes in customers' appetite to spend and consumer behaviors, new forms of distribution services have mushroomed such as superstores and SSM(Super Supermarket), online shopping, TV shopping channels. On the contrary, traditional markets have sunk into a swamp of stagnation. As this stage of stagnation of markets negatively affects tradespeople's employment, livings, and local economy, the Korean government has conducted policies to support improvement of market facilities and management since 2004. However, the government has separated facility improvement from management improvement. As of June 2008, there are 1,550 traditional markets in Korea and among these there are 388 public markets which local governments have established and managed. Public markets have possibilities to be developed as successful models of market revitalization since they can get all-expenses-paid supports for facility improvement, control of merchandise assortment, educational program for merchants. Such successful (strategic hub) markets could become the benchmark for other neighboring markets and tradespeople which could lead other successful cases. In order to produce such effects, the market should have optimized facilities, merchandise and services, co-marketing strategies with nearby markets, group purchase strategies. The hub market could play a critical role in distribution of local goods and developing high value products.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.127-138
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• 2012

Unlike the first generation of Korean Wave (Hallyu 1.0), which mainly refers to the exports of Korean TV dramas via broadcasting systems, the New Korean Wave (Hallyu 2.0) era has been brought by K-pop (Korean popular music) via the rapid growth of social media. The purpose of this study is to understand the impact of this significant shift in media on global fans and their way of adopting Korean cultural goods from a social capital perspective, in order to draw some implications for the current Korean content industries. Most global fans of K-pop are young and use social media to access digital content and share their opinions spontaneously. SNS providers such as YouTube and Facebook not only act as information providers to usher the fans to online music retailers; but also function as links between these fans and cultural producers by turning bonding social capital into bridging social capital. Telecommunication and advertising companies participate in this market as a third party by providing funds for supporting digital circulation and distribution. In this multi-sided market with the interdependent agents, it is extremely important to secure a platform that leads the evolution of its business ecology. Without owning the platform, there is also a very little chance to produce linking social capital as a means to maximize the impact of New Korean Wave.

• Journal of the Korean Society for information Management
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• v.30 no.2
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• pp.245-268
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• 2013

The paper describes a case study in which Sungkyunkwan University Library participated in the official ARL(Assoication of Research Libraries) LibQUAL+ evaluation program. LibQUAL+ model is based on the SERVQUAL service quality evaluation model originally developed in the marketing area. It details a number of processes including translation of the LibQUAL+ survey instrument into Korean, selection of study sample and choice of survey versions. In addition, it offers a number of strategies that can be adopted in order to analyze the survey data for various comparisons among different user groups and institutions. LibQUAL+ is more that a survey instrument; it a holistic system for assessing library service quality. Despite criticisms on LibQUAL+, we expect that university libraries in Korean will benefit from participating in the program. It is preferable that a group of libraries form a consortium to participate in the LibQUAL+ program as opposed to individual participation. The consortium can function as a learning community through various workshops and sharing activities, thus elevate the overall evaluation efforts in Korean libraries to a higher level.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.467-474
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• 2018

This study was conducted to investigate the effect of unmarried women's self-efficacy and sex role stereotypes on sexual assertiveness. This study is a descriptive research study. The subjects of this study were unmarried women who had experience of dating. Data collection was conducted by online from July 17th to 19th, 2018. The final 190 subjects were the subject of the study and data analysis was performed using the SPSS 24.0 program. Pearson's correlation was used for correlations between variables, and multiple regression analysis was performed to determine the effect on sexual assertiveness. The results showed that there was a significant difference in the scores of the sexual assertiveness according to the age, having a boyfriend, number of intimate relationship, and sexual intercourse experience. There was a positive correlation between sexual assertiveness and self-efficacy, while there was a negative correlation between sexual assertiveness and sex role stereotypes. Factors influencing sexual assertiveness were sexual intercourse experience and sex role stereotypes, which accounted for 41.7%. This study was meaningful in that it analyzed the factors influencing sexual assertiveness among unmarried women who are not college students. In order to increase the sexual assertiveness of unmarried women, it is necessary to have a program that takes into account stereotypes of sex roles.

• Journal of Korean Society for Atmospheric Environment
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• v.25 no.6
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• pp.523-538
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• 2009

Recently, there has been a keen demand for real-time automatic monitoring of VOCs not only in Korea but other developed countries. We carried out this study to evaluate and to optimize the performance of a continuous automatic monitoring system for hazardous VOCs (HVOCs) in the ambient atmosphere, using an on-line GC system. The online system normally consisted of a Nafion dryer prior to a cold trap of an automatic thermal desorption apparatus and a GC system equipped with two detectors, i.e. PID and ECD. Preliminary tests conducted to check out any contamination of the system revealed an evidence of significant artifact formation of benzene, and it was found that the Nafion dryer (even brand new one) is the source of the benzene artifact. Thus, all the subsequent experiments in this study was carried out inevitably by removing the Nafion dryer. The on-line GC method was investigated with a variety of QC/QA performance criteria such as repeatability, linearity, lower detection limits, and accuracy. In order to find out the best operating condition for the on-line GC system, three different types (in terms of adsorption strength) of cold trap combinations were tested, i.e. (i) Tenax-TA and Carbopack-B combination (weak and hydrophobic); (ii) Tenax-TA, Carbopack-X and Carboxen-1000 combination (strong and hydrophilic); and (iii) Tenax-TA and Carbopack-X combination (medium and hydrophobic/hydrophilic). The USEPA TO-17 manual method was selected as a reference method to evaluate the performance of the on-line method. A series of experiments revealed that the system performance was superior to others when a cold trap packed with hydrophilic adsorbents (Tenax-TA/Carbopack-X/Carboxen-1000 combination) was used and operated at $25^{\circ}C$. However, the system with a cold trap packed with a combination of Tenax-TA and Carbopack-X is more recommended for field applications since the carboxen-1000 adsorbent is too sensitive to water vapor, and hence the performance of the system might be very unstable to humid samples or during rainy days. Furthermore, the precision and accuracy criteria of the Tenax-TA/ Carbopack-X combination were generally compatible with the triple adsorbents cold trap. The continuous automatic monitoring method is, thus, considered very useful to real-time monitoring to understand the variations of VOCs concentrations in ambient air, as it adopts much simpler procedures in sampling, analysis, and data integration steps than manual monitoring methods. However, it should be noted that there is a high possibility of benzene artifacts formation through the Nafion dryer, which is often installed to remove water vapor in air samples before being adsorbed onto the cold trap. Therefore, if a Nafion dryer is used in any studies of monitoring VOCs, the benzene contamination should be carefully examined before carrying out obtaining the data.

• Journal of Microbiology and Biotechnology
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• v.16 no.11
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• pp.1690-1698
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• 2006

In order to investigate the effect of dissolved oxygen (DO) level on AVM $B_{1a}$ production by a high yielding mutant of Streptomyces avermitilis, five sets of bioreactor cultures were performed under variously controlled DO levels. Using an online computer control system, the agitation speed and aeration rate were automatically controlled in an adaptive manner, responding timely to the oxygen requirement of the producer microorganism. In the two cultures of DO limitation, the onset of AVM $B_{1a}$ biosynthesis was observed to casually coincide with the fermentation time when oxygen-limited conditions were overcome by the producing microorganism. In contrast, this phenomenon did not occur in the parallel fermentations with DO levels controlled at around 30% and 40% throughout the entire fermentation period, showing an almost growth-associated mode of AVM $B_{1a}$ production: AVM $B_{1a}$ biosynthesis under the environments of high DO levels started much earlier than the corresponding oxygen-limited cultures, leading to a significant enhancement of AVM $B_{1a}$ production during the exponential stage. Consequently, approximately 6-fold and 9-fold increases in the final AVM $B_{1a}$ production were obtained in 30% and 40% DO-controlled fermentations, respectively, especially when compared with the culture of severe DO limitation (the culture with 0% DO level during the exponential phase). The production yield ($Y_{p/x}$), volumetric production rate (Qp), and specific production rate (${\bar{q}}_p$) of the 40% DO-controlled culture were observed to be 14%, 15%, and 15% higher, respectively, than those of the parallel cultures that were performed under an excessive agitation speed (350 rpm) and aeration rate (1 vvm) to maintain sufficiently high DO levels throughout the entire fermentation period. These results suggest that high shear damage of the high-yielding strain due to an excessive agitation speed is the primary reason for the reduction of the AVM $B_{1a}$ biosynthetic capability of the producer. As for the cell growth, exponential growth patterns during the initial 3 days were observed in the fermentations of sufficient DO levels, whereas almost linear patterns of cell growth were observed in the other two cultures of DO limitation during the identical period, resulting in apparently lower amounts of DCW. These results led us to conclude that maintenance of optimum DO levels, but not too high to cause potential shear damage on the producer, was crucial not only for the cell growth, but also for the enhanced production of AVM $B_{1a}$ by the filamentous mycelial cells of Streptomyces avermitilis.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.233-246
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• 2020

After the COVID-19 crisis, the world's terrain has changed completely to the extent that it has been divided before and after Corona. We are living in the era of new normals, things we never thought of before Corona19, such as wearing masks everywhere, maintaining social distance, sitting on one side in the cafeteria, and online face-to-face classes. Perhaps the most seriously affected by the COVID-19 incident is the church. How should the church respond to the various problems caused by COVID-19? This study intends to re-examine the five essential missions of the church in the post-Corona19 era. The five essences are the three essential functions of the intangible church: didake (teaching), kerygma (declaration), diakonia (service), and the two essential functions of the tangible church: koinonia (association) and leiturgia (worship). Of these, koinonia and leiturgia are the most seriously threatened by the restraint of face-to-face worship in the incident of COVID-19. In times of crisis, the church needs to strengthen its vertical koinonia with God in order to perform its didake function well and increase the efficiency of the horizontal koinonia among believers. However, in the situation where face-to-face worship is desired due to social distance, teaching and proclaiming the Bible is the most important part. For this, it is considered that a specialized ministry is needed to produce high quality contents.

• Journal of KIISE:Software and Applications
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• v.36 no.10
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• pp.777-785
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• 2009

Collaborative filtering is a technique used to predict whether a particular user will like a particular item. User-based or item-based collaborative techniques have been used extensively in many commercial recommender systems. In this paper, a hybrid collaborative filtering method that combines user-based and item-based methods using a low-dimensional linear model is proposed. The proposed method solves the problems of sparsity and a large database by using NMF among the low-dimensional linear models. In collaborative filtering systems the methods using the NMF are useful in expressing users as semantic relations. However, they are model-based methods and the process of computation is complex, so they can not recommend items dynamically. In order to complement the shortcomings, the proposed method clusters users into groups by using NMF and selects features of groups by using TF-IDF. Mutual information is then used to compute similarities between items. The proposed method clusters users into groups and extracts features of groups on offline and determines the most suitable group for an active user using the features of groups on online. Finally, the proposed method reduces the time required to classify an active user into a group and outperforms previous methods by combining user-based and item-based collaborative filtering methods.