• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.220-227
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• 2021

PCT (Power Cable Tunnel) and UT (Utility Tunnel), which are non-transport underground infrastructures, are mostly RC (Reinforced Concrete) structures, and their durability decreases due to the deterioration caused by carbonation over time. In particular, since the rate of carbonation varies by use and region, a predictive model based on actual carbonation data is required for individual maintenance. In this study, a carbonation prediction model was developed for non-transport underground infrastructures, such as PCT and UT. A carbonation prediction model was developed using multiple regression analysis and deep neural network techniques based on the actual data obtained from a safety inspection. The structures, region, measurement location, construction method, measurement member, and concrete strength were selected as independent variables to determine the dependent variable carbonation rate coefficient in multiple regression analysis. The adjusted coefficient of determination (Ra2) of the multiple regression model was found to be 0.67. The coefficient of determination (R2) of the model for predicting the carbonation of non-transport underground infrastructures using a deep neural network was 0.82, which was superior to the comparative prediction model. These results are expected to help determine the optimal timing for repair on carbonation and preventive maintenance methodology for PCT and UT.

• Knowledge Management Research
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• v.23 no.2
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• pp.277-299
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• 2022

The massive card transaction data generated in the tourism industry has become an important resource that implies tourist consumption behaviors and patterns. Based on the transaction data, developing a smart service system becomes one of major goals in both tourism businesses and knowledge management system developer communities. However, the lack of rating scores, which is the basis of traditional recommendation techniques, makes it hard for system designers to evaluate a learning process. In addition, other auxiliary factors such as temporal, spatial, and demographic information are needed to increase the performance of a recommendation system; but, gathering those are not easy in the card transaction context. In this paper, we introduce CTDDTR, a novel approach using card transaction data to recommend tourism services. It consists of two main components: i) Temporal preference Embedding (TE) represents tourist groups and services into vectors through Doc2Vec. And ii) Deep tourism Recommendation (DR) integrates the vectors and the auxiliary factors from a tourism RDF (resource description framework) through MLP (multi-layer perceptron) to provide services to tourist groups. In addition, we adopt RFM analysis from the field of knowledge management to generate explicit feedback (i.e., rating scores) used in the DR part. To evaluate CTDDTR, the card transactions data that happened over eight years on Jeju island is used. Experimental results demonstrate that the proposed method is more positive in effectiveness and efficacies.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.226-234
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• 2016

This study aimed to research the effects of emotional labor of contingent workers in foodservice industry on job burnout, job satisfaction and turnover intention, and to achieve the purpose that it was needed to analyze the factors of emotional labor to research the effect of emotional labor on job burnout, and to research the effect of job burnout on job satisfaction and turnover intention. Data were collected from foodservice restaurants located in southern Gyeonggi province by face-to-face interview. The questionnaire was distributed of the 300 copies and used 271 in the analysis. The results are as followed; First, the factors of emotional labor were surface acting and deep acting. Second, surface acting had positive significant influence on job burnout. Third, deep acting had negative significant influence on job burnout. Four, job burnout had negative significant influence on job satisfaction and job burnout had positive significant influence on turnover intention. This research requires many studies about deep acting of contingent workers in foodservice industry.

• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.267-281
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• 2017

Despite the recent importance of interdisciplinary convergence research, little has been studied on the detailed experience while conducting convergence research in Korea. To deeper understand challenges and overcoming in convergence research and to suggest an administrative system for it, by analyzing researchers experience and cognition while conducting their actual convergence research, in-depth interviews with 16 full-time faculty members with expertise in convergence research and research administration in a university and analyzed the interviews by using the paradigm model of grounded theory. The results show that the core phenomenon researchers experienced is that "convergence research is not being effectively conducted," and they experience growth in research through pursuing efforts and improving research atmosphere in various aspects. Based on these findings, we made several suggestions for promoting convergence research.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.232-235
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• 2006

본 연구는 규칙베이스와 사례베이스를 이용하여 은행의 내부감사 방법을 제시하고자 한다. 감사의 1단계에서는 규칙베이스를 이용하여 감사대상의 거래를 탐색하고 2단계에서는 사례베이스를 이용하여 감사대상의 거래를 심층 분석하여 감사결과를 도출한다. 규칙을 이용한 추론은 내부규정 및 가이드라인을 이용하여 추론하여 잠재적인 위험을 가지고 있는 거래를 발견하는 것 이 다. 사례베이스를 이용한 추론은 유사도를 개발하여 현재의 문제와 가장 유사한 사례를 탐색하여 감사를 하도록 한다. 본 연구에서 제시한 방법은 실제 은행 내부감사에 적용하여 분석하였다.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.4
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• pp.77-97
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• 2017

A recent sharp increase of the biomedical literature causes researchers to struggle to grasp the current research trends and conduct creative studies based on the previous results. In order to alleviate their difficulties in keeping up with the latest scholarly trends, numerous attempts have been made to develop specialized analytic services that can provide direct, intuitive and formalized scholarly information by using various text mining technologies such as information extraction and event detection. This paper introduces and evaluates total 8 Convolutional Neural Network (CNN) models for extracting biomedical events from academic abstracts by applying various feature utilization approaches. Also, this paper conducts performance comparison evaluation for the proposed models. As a result of the comparison, we confirmed that the Entity-Type-Fully-Connected model, one of the introduced models in the paper, showed the most promising performance (72.09% in F-score) in the event classification task while it achieved a relatively low but comparable result (21.81%) in the entire event extraction process due to the imbalance problem of the training collections and event identify model's low performance.

• Journal of Communication Design
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• v.68
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• pp.278-288
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• 2019

The purpose of this study is to analyze the effects of risk and convenience on purchase intention in the IOT market, and I want to analyze the moderating effect of emotional consumption value. In this study, two products were selected from three product groups. There are three major methods of research. First, theoretical considerations. Second, survey analysis. Reliability analysis and factor analysis were performed using descriptive statistics using SPSS. Third, we measured changes of EEG according to in - depth interview and indirect experience. As a result of the hypothesis of this study, it was confirmed that convenience of use of IoT product influences purchase intention. Risk was predicted to have a negative effect on purchase intentions, but not significant in this study. This implies that IoT products tend to be neglected in terms of monetary loss such as cost of purchase, cost of use, and disposal cost when purchasing. In-depth interviews and EEG analysis revealed that there is a desire to purchase and try out the IoT product due to the nature of the product, the novelty of new technology, and the vague idea that it will benefit my life. The aesthetic, symbolic, and pleasure factors, which are sub - elements of emotional consumption value, were found to have a great influence. This is consistent with previous research showing that emotional consumption value has a positive effect on purchase intention. In-depth interviews and EEG analyzes also yielded the same results. This study has revealed that emotional consumption value affects the intention to purchase IoT products. It seems that companies producing IoT products need to concentrate on marketing with more emotional consumption value.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.83-92
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• 2015

Recently, Co-working that is a new trend of working and Co-working Space that create Co-working are increasing rapidly around the centers to support start-up such as one-person creative companies. However, the business centers located outside Seoul are not enough to recognize knowledge and skill for operating Co-working Space. Therefore, this study selects the big research issue which is "The recognition and case of co-working & application to co-working space" and the small research issue that is "Co-working Space operation activities" for qualitative research by using in-depth interview to managers of one-person creative company business centers. As a result, on the perspective of the big research issues, they understood Co-working concept, but the Co-working case was made by manager's effort without voluntary participation of the users. Co-working Space is important to recognize as a space for interaction and exchange information but was used only as a sharing space. And on the perspective of the small research issues, 'Space & Interior', 'Alliance and Partnership' and 'Community and Communication' show low awareness and activities. So, we suggest improvement plans through the case of best practices. This study is valuable, it could be a help to adapt and improve to Co-working Space in one-person creative company business center for creation of performance by Co-working.

• Tunnel and Underground Space
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• v.34 no.1
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• pp.28-53
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• 2024

In general, high-level radioactive waste (HLW) generated as a result of nuclear power generation should be disposed within the country. Determination of the disposal site and host rock for HLW deep geological repository is an important issue not only scientifically but also politically, economically, and socially. Considered host rock types worldwide for geological disposal include crystalline rocks, sedimentary rocks, volcanic rocks, and salt dome. However, South Korea consists of various rock types except salt dome. This paper not only analyzed the geological and rock mechanical characteristics on a nationwide scale with the preliminary results on various rock type studies for the disposal host rock, but also reviewed the characteristics and possibility of various rock types as a host rock through deep drilling surveys. Based on the nationwide screening for host rock types resulted from literature review, rock distributions, and detailed case studies, Jurassic granites and Cretaceous sedimentary rocks (Jinju and Jindong formations) were derived as a possible candidate host rock types for the geological disposal. However, since the analyzed data for candidate rock types from this study is not enough, it is suggested that the disposal rock type should be carefully determined from additional and detailed analysis on disposal depth, regional characteristics, multidisciplinary investigations, etc.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.560-575
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• 2020

This study analyzed the actual impact of central and local governments' startup mentoring programs on the entrepreneurship and early startup business performances of company owners and prospective owners. To analyze the participants' hidden intentions, literature review, in-depth interview, and focus group interview research methodologies were used consecutively. The following results were obtained. First, participants with higher expectations toward the mentoring programs tended to evaluate the programs more negatively, with a substantial number of interviewees responding that the quality of the programs was subpar. Second, startup mentoring programs seem to have had positive effects on building entrepreneurship. The effect was especially significant in areas such as creativeness and innovation. Third, the mentoring programs did not have a significant impact on business performance, suggesting the need for institutions' active participation in mentor-mentee relations and programs. Fourth, most participants evaluated mentoring programs as unsatisfactory, meaning that the programs do not meet the intention and purpose of the institutions providing them. Based on these analyses, the academic importance of this study was highlighted and ways startup mentoring programs can improve in the future were suggested.