• Journal of the Korean Society for Library and Information Science
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• v.51 no.4
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• pp.99-120
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• 2017

In order to develop a semiautomatic support system that allows researchers concerned to efficiently analyze the technical trends for the ever-growing industry and market. This paper introduces a couple of Korean sentence generation models that can automatically generate definitional statements as well as descriptions of technical terms and concepts. The proposed models are based on a deep learning model called LSTM (Long Sort-Term Memory) capable of effectively labeling textual sequences by taking into account the contextual relations of each item in the sequences. Our models take technical terms as inputs and can generate a broad range of heterogeneous textual descriptions that explain the concept of the terms. In the experiments using large-scale training collections, we confirmed that more accurate and reasonable sentences can be generated by CHAR-CNN-LSTM model that is a word-based LSTM exploiting character embeddings based on convolutional neural networks (CNN). The results of this study can be a force for developing an extension model that can generate a set of sentences covering the same subjects, and furthermore, we can implement an artificial intelligence model that automatically creates technical literature.

• Journal of Science Education
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• v.41 no.2
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• pp.226-247
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• 2017

The purpose of this study is to develop the exhibition model of children's science museum for children and to present the guideline for the exhibition of children's science museum. To this end, we proposed an exhibition of 'body', 'surrounding things', and 'natural phenomenon' as exhibition topics based on the exhibit evaluation framework and kindergarten curriculum. The direction and color elements are important for the exhibition of 'the body', and the presentation of the 'natural phenomenon' is suitable for the use of contextual media applying color and lighting. And it can be said that it is important to provide clues and fixtures for exploring objects based on the theme of 'surrounding objects'. In addition, in order to secure the validity of the developed exhibition model, we developed an exhibition link program for the 'mirror' exhibition of the exhibition model and applied it to visitors to the Gwangju Museum of Science. Therefore, it is meaningful that it provides the basic guidelines for exhibition planning, and it is necessary to plan exhibition to maximize the exhibition effect by directing exhibition contents, exhibition media and exhibition space suitable for the audience.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.64-76
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• 2020

The purpose of this study is to empirically analyze the mediating effect of job stress and Job engagement in job satisfaction between WFC(Work-Family Conflict) and quality of LMX(eader-member exchange) relationship of married female workers based on JD-R(Job Demands-Resources) model. A total of 945 people were targeted using the 7th panel data from the Korean Longitudinal Survey of Women and a structural equation model was used to verify the causal relationship and mediating effect of each variable using spss 23.0 and AMOS 21.0. As a result of the study, it was confirmed that WFC did not directly affect job satisfaction, and it was found that job satisfaction was negatively affected through job stress related to WFC. It was found that the quality of the LMX relationship had a positive effect on job satisfaction and reduced job stress, thus positively affecting job satisfaction. Job engagement was found to mediate the relationship between LMX and job satisfaction. This study is meaningful in that the search for multidimensional psychological and contextual factors that lead to job performance and job demands of married female workers are conducted.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.419-437
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• 2023

As the number of thin filers in Korea surpasses 12 million, there is a growing interest in enhancing the accuracy of assessing their credit default risk to generate additional revenue. Specifically, researchers are actively pursuing the development of default prediction models using machine learning and deep learning algorithms, in contrast to traditional statistical default prediction methods, which struggle to capture nonlinearity. Among these efforts, Graph Neural Network (GNN) architecture is noteworthy for predicting default in situations with limited data on thin filers. This is due to their ability to incorporate network information between borrowers alongside conventional credit-related data. However, prior research employing graph neural networks has faced limitations in effectively handling diverse categorical variables present in credit information. In this study, we introduce the Transformer embedded Graph Convolutional Network (TeGCN), which aims to address these limitations and enable effective default prediction for thin filers. TeGCN combines the TabTransformer, capable of extracting contextual information from categorical variables, with the Graph Convolutional Network, which captures network information between borrowers. Our TeGCN model surpasses the baseline model's performance across both the general borrower dataset and the thin filer dataset. Specially, our model performs outstanding results in thin filer default prediction. This study achieves high default prediction accuracy by a model structure tailored to characteristics of credit information containing numerous categorical variables, especially in the context of thin filers with limited data. Our study can contribute to resolving the financial exclusion issues faced by thin filers and facilitate additional revenue within the financial industry.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.273-294
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• 2012

Images have been substantially searched and used due to not only the advanced internet and digital technologies but the characteristics of a younger generation. The purpose of this study aims to discuss the ways on expanding the access points to images by analyzing the needs of users in context of everyday life. In order to achieve the purpose of this study, 105 questions of image seeking in NAVER, which is one of social Q&A services in Korea, were analyzed. For the analysis, a two-dimensional framework with image uses and image attributes were utilized. The findings of this study demonstrate that considerable use purposes on data oriented pole, such as information processing, information dissemination and learning are identified. On the other hand, image attributes from the needs of image show that non-visual aspects including contextual attributes are recognized substantially in addition to the traditional semantic attributes.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.135-142
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• 2020

In this paper, we propose to analyze the impact of perceived over qualification on boundary spanning behavior and job performance. A total of 373 questionnaires were collected from corporate researchers developing VR technology in China to achieve the purpose of this study. The data collected through the survey were analyzed with frequency analysis, reliability analysis, positive factor analysis, structural equation model, etc. using statistical programs SPSS V.22 and AMOS V. 22. The empirical analysis of this study confirms the following findings. First, perceived over qualification is a positive influence on job performance. Second, perceived over qualification to have a positive influence on boundary spanning behavior. Third, boundary spanning behavior is to have a positive effect on job performance. Through the concluding and discussion sections, in-depth discussions on the theoretical implications, practical implications and limitations of the research and its future direction were presented.

• Fashion & Textile Research Journal
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• v.22 no.3
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• pp.335-348
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• 2020

This study examines the cultural differences in Korea and the United Kingdom, and how they affect consumer complaint behavior(CCB). Technological advances allow consumers to easily access information anywhere in the world using the internet thus they demand even higher expectations from the sellers. Consumers from different cultural backgrounds, especially the millennial generation, have different ways of expressing a dissatisfying shopping experience. For this comparative study, in-depth interviews were conducted based on the methodology set by grounded theory. The results of the axial coding produced by recombining the data from open coding were visualized as a paradigm model. The main phenomenon of attitude towards complaining was formed following the causal conditions of dissatisfaction that occurred after purchasing fashion products online. The contextual condition, which is the cultural factors, affects the formation of the attitude towards complaining; and the intervening conditions, which are personal value and amplifications of dissatisfaction, had a moderating effect between the causal condition and the main phenomenon. Complaining costs, the likelihood of successful complaint, attribution, and the importance of the product were the determinants of the complaining behavior after the attitude towards complaining was formed. As a result, there were three classifications of consumer complaining behavior: no action, private action, and public action. This research will serve as a guide for online companies that wish to enter the UK fashion industry with a competitive edge.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.7
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• pp.1317-1324
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• 2016

Utilizing the Arduino platform to express the emotions that reflect the colors expressed the jewelry. Emotional color expression utilizes Plutchik's Wheel of Emotions model was applied to the similarity of emotions and colors. It receives the recognized value from the temperature, lighting, sound, pulse sensor and gyro sensor of a smart jewelery that can be easily accessible from your smartphone processes that recognize and process the emotion applied the rules of inference based on ontology. The emotional feelings color depending on the color looking for the emotion seen in context and applied to the smart LED jewelry. The emotion and the color combination of contextual information extracted from the recognition sensors are reflected in the built-in smart LED Jewelry depending on the emotions of the wearer. Take a light plus the emotion in a smart jewelery can represent the emotions of the situation, the doctor will be able to be a tool of representation.

• Journal of KIISE
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• v.44 no.2
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• pp.148-162
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• 2017

Recently, the accomplishment of a system's quality attributes requires the negotiation of increasingly complex requirements, and this is because the contextual and developmental environments in which software is used has undergone broad changes. Nevertheless, with regard to most architectural designs, many of the proportions depend on the architect's intuition. Moreover, even if reusable architectural patterns are adapted to an architectural design, common schemas for the description of their use are nonexistent, and it is difficult to make a comparison for the selection of an appropriate systemic pattern because the focus of the schemas is not the user's perspective. To achieve a fast initial-design decision, this paper suggests new schemas that reduce the distance between the quality attribute requirements and the design by reinterpreting architectural patterns from the user's perspective. Also, based on the reconstructed pattern model that is derived from the use of the new schemas, an architectural-pattern recommendation method (APOQATo) for which the trade-off and the constraints that are due to the design decision are considered is provided as well as the advantages of the architectural pattern for which the quality attributes are satisfied.

• Human Ecology Research
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• v.51 no.5
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• pp.497-511
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• 2013

This study aimed to examine Korean men's experiences of work-family balance in dual income families with children under six years of age. We focused on identifying the difficulty of balancing work and family considering their individual, social, and cultural conditions. The method was a qualitative study involving two in-depth interviews with each of 12 men, and analyzing the data through the grounded theory approach. From the results, a model of men's work-family experience was constructed. It demonstrates the central phenomena (difficulties of balancing), the causal conditions (lacking time for family, seeking support from the employer, and learning husband's roles insufficiently), the contextual conditions (remaining paternalism and changing husband's roles), the intervening conditions (workplace, childcare support, and wife characteristics), and strategies (help from relatives, utilizing daycare centers, controlling birth, managing work conditions, and using family polices). We clarify the overall picture of working and family life experiences, and also show how men deal with their problems in their circumstances by balancing working and family life. In conclusion, males have difficulty participating in family life autonomously because of having less decision-making power than the wife. Moreover, the great responsibilities of the breadwinner disturb the work-family balance. Men devote themselves to working to hold a job instead of spending time with their family. However, they ultimately value work-family balance with respect to 'keeping a peaceful family life'.