• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.6379-6387
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• 2014

Standardized construction information classification enables extensive information from the construction industry to be shared and exchanged clearly by means of unified information expression. Recently, the constriction information classification in North America and Europe has been revised to adapt to BIM technology and applied to various BIM projects. In Korea, government established construction information classification and made efforts to be standardized. On the other hand, it showed low applicability at the practice field and had no revision plan for adapting BIM. In this study, the authors suggest an improvement plan of construction information classification for applying BIM with the purpose of availability enhancement and adaption to a construction environment change.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.6333-6344
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• 2015

This study focused on the classification systems of modern architecture and facilities reviewing the characteristics of domestic and foreign cultural heritage classification systems. The results are as follows : (1) It is necessary new classification system for recent emerging architectures and facilities which contains new functions, and reflecting new scope of cultural heritage, in example cultural landscape. (2) Reviewing the related spheres which can produce future cultural heritages such as KDC, Industrial Classification and foreign trends on the cultural heritages, we classified 6 main categories ; Politics & Diplomatics, Industry & Economy, Society & Life, Culture & Art, Technology & Science, Military & Public Safety. (3) Under the main category, we divided sub- and subject-category according usages of objects for reflecting the registered appreciations.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.8
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• pp.333-340
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• 2023

Efficient prediction of corporate bankruptcy is an important part of making appropriate lending decisions for financial institutions and reducing loan default rates. In many studies, classification models using artificial intelligence technology have been used. In the financial industry, even if the performance of the new predictive models is excellent, it should be accompanied by an intuitive explanation of the basis on which the result was determined. Recently, the US, EU, and South Korea have commonly presented the right to request explanations of algorithms, so transparency in the use of AI in the financial sector must be secured. In this paper, an artificial intelligence-based interpretable classification prediction model was proposed using corporate bankruptcy data that was open to the outside world. First, data preprocessing, 5-fold cross-validation, etc. were performed, and classification performance was compared through optimization of 10 supervised learning classification models such as logistic regression, SVM, XGBoost, and LightGBM. As a result, LightGBM was confirmed as the best performance model, and SHAP, an explainable artificial intelligence technique, was applied to provide a post-explanation of the bankruptcy prediction process.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.222-227
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• 2022

In this paper, we implemented a Korean text generation and classification model based on a deep learning algorithm that can be applied to various industries. It consists of two implemented GAN-based Korean handwriting generation models and CNN-based Korean handwriting classification models. The GAN model consists of a generator model for generating fake Korean handwriting data and a discriminator model for discriminating fake handwritten data. In the case of the CNN model, the model was trained using the 'PHD08' dataset, and the learning result was 92.45. It was confirmed that Korean handwriting was classified with % accuracy. As a result of evaluating the performance of the classification model by integrating the Korean cursive data generated through the implemented GAN model and the training dataset of the existing CNN model, it was confirmed that the classification performance was 96.86%, which was superior to the existing classification performance.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.863-866
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• 2004

초고속 인터넷의 보급과 확산으로 더 이상 문자위주의 단편적인 교육이 아니라 영상과 음향, 각종 놀이 문화가 접목된 에듀테인먼트가 본격적으로 시도되고 있다. 본 논문에서는 에듀테인먼트의 내용분석과 사례분석을 통하여 에듀테인먼트 산업의 분류 체계를 구축하는 것을 제안한다.

• Journal of Korea Technology Innovation Society
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• v.21 no.1
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• pp.236-264
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• 2018

This study investigates the trend of the patent applications and the future direction of ICT in Gyeongbuk Province by employing patent portfolio analysis, one of the methodology of map analyses for industry-related ICT issues. Thus, this study aims to investigate the ICT development trend based on ICT patent information in Gyeongbuk Province. The promising technologies in ICT industry are extracted by applying patent portfolio analysis, one of the patent map analyses. The analysis results can be applied to the establishment of research and development strategies. This study extracts ICT trend by applying International Patent Classification to the patents registered in Gyeongbuk. For promising technologies, this study analyzed the patents based on the ICT Classification Code. Based on the analysis results, this study presents the trend of patent application, technology share, patent activity status, the trend of patent application by each technology according to ICT classification, the growth stages of ICT market, registration parties for patents, joint researches of research parties, and primary parties of patent applications. After drawing promising technologies, this study provides the future progress direction of ICT industry in Gyeongbuk Province. The research results also can be applied to securing technology competence and developing strategy of technology policy.

• The Journal of the Korea Contents Association
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• v.11 no.1
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• pp.357-370
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• 2011

Using strategy group theory, this thesis reviewed the status of program providers analysis and the performances it has made so far, and sought measures to improve its limitations. The constraint of program providers analysis based on existing concept of strategy group is that the strategy group was derived from the statistics, and therefore only applied the characteristics of program provider's channels to the analysis, on account of which a systematic and sophisticated classification as well as generalization of strategy or strategy group were hard to obtain. Moreover, the PP strategy variables used to be selected at the firm level and business level, and in relation with resource and competition scope. In future, more appropriate procedure should be followed to obtain objectivity in selecting variables to avoid controversy over intentionality. The measures in this thesis to improve the study of PP strategy group can be summarized as follows: firstly analysis of variables for strategy group classification should be made to single out key variables which are to be classification criteria. Secondly, variables are to be cross-checked by industry experts to increase generalizability. Thirdly, proxy variables should be sublated, and strategy group model which enables the reflection of subsistent properties of PP industry, and the cognitive perception of the executives(CEO) needs to be established. Fourthly, the concepts of mobility barrier and isolating mechanism should be applied to the classification criteria of strategy group to reveal the gap of performance between different strategy groups. Lastly, chronicle study on PP strategy group should be done to perceive the dynamic changes of PP strategy group.

• International Commerce and Information Review
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• v.7 no.4
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• pp.351-365
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• 2005

Korean auto mobile industry has been contributed to development on national economy for last 30 years. Especially, The fact is that latest increasement of Korean automobile selling is worthy of notice in U.S. market which is the biggest automobile market of the world. But development of automobile industry unattainable nothing of helping of auto parts industry. So, when we discuss about growth of automobile industry, we also have to consider role of auto parts industry at the same time. The purpose of this study was to analyze exporting competition of Korean auto parts in U.S. market by using Index of Export Bias and Market Comparative Advantage Index. For attaining the purpose of study, we classified the Korean auto parts which exported to U.S. market and the world by using the six units classification of the Harmonized System(HS). Also we measured Index of Export Bias and Market Comparative Advantage Index. Analyzing period was 1998-2004. The results of Index of Export Bias indicated that HS Code No. 8708.50, 8708.91 represented over 3 numerical value and 8708.92, 8708.60, 8708.39, 8708.29 represented over 2 numerical value. Additional results indicated that the Korean auto parts which gained exporting competition in the U.S. market were HS Code No. 8708.70, 8708.93, 8708.92. The products which will have exporting competition in the U.S. market would be HS Code No. 8708.99,

• Korea Journal of Hospital Management
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• v.13 no.3
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• pp.94-113
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• 2008

The purpose of this study to develop the Hospital Management Award(HMA) programme which would be a basic information for advancing hospital industry in Korea. HMA programme in the study are designed with general census building method of researchers and with the data of professions opinion which was survey with structured questionnaire Major results of this study are as follows. First, Hospital Management Award(HMA) programme is perceived very necessary and useful for advancing hospital industry of Korea (positive response rate: 93.0%). Second, Criteria, Classification of hospitals may be the function, size and ownership of hospital. Third Evaluating area of hospital management, examining method and evaluation marking points are designed on the basis of hospital management information system. Forth, this study suggests same strategies for execution of the programme. On the basis of the study results this study suggests that Hospital Management Award(HMA) programme would rather actualized in advance by formal institute and/or association. And some in depth studies are required mainly for development of the action plan of HMA programme.

• Proceedings of the KSPS conference
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• 2007.05a
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• pp.207-210
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• 2007

As the Internet is prevalent in our life, harmful contents have been increasing on the Internet, which has become a very serious problem. Among them, pornographic video is harmful as poison to our children. To prevent such an event, there are many filtering systems which are based on the keyword based methods or image based methods. The main purpose of this paper is to devise a system that classifies the pornographic videos based on the audio information. We use Mel-Cepstrum Modulation Energy (MCME) which is modulation energy calculated on the time trajectory of the Mel-Frequency cepstral coefficients (MFCC) and MFCC as the feature vector and Gaussian Mixture Model (GMM) as the classifier. With the experiments, the proposed system classified the 97.5% of pornographic data and 99.5% of non-pornographic data. We expect the proposed method can be used as a component of the more accurate classification system which uses video information and audio information simultaneously.