• Journal of Digital Convergence
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• v.15 no.7
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• pp.367-373
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• 2017

The study aims to suggests mobile application service that helps to reduce physical and mental suffering after surgery for breast cancer patients constantly increasing. At first, I analyze literature research to understand the breast cancer and similar services for achieving study purposes. After I finally design a mobile application that offers to customed one-to-one specialist coaching service focused on post-treatment management by using a double diamond design process model. In detail, first, I analyze the current program and comprehend user needs through interviews with the person such as breast patient, protector, nurse, salesperson in cancer center. Second, I specify the entire scenario, concept and keyword based on the persona and the customer journey map representing user. Third, I propose the mobile application for the ultimate goal by producing prototype to effectively communicate with specific functional descriptions. I hope this service will improve the quality of their lives.

• Journal of Society of Preventive Korean Medicine
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• v.18 no.1
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• pp.113-123
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• 2014

Objective : This study is aimed to analyze the recent research trend of Sipjeondabo-tang (SJDBT) in Korea. Method : We searched Korean research database by using keyword 'Sipjeondabo-tang'. Databases are Korean Medicine Information System, Research Information Service System and Korean Studies Information Service System. We analyzed studies by research method, publication year, type of journal and subject of the study. Results : By analyzing studies published after 1990, we could find that experimental studies were primarily conducted in SJDBT study. During recent 10 years, the number of toxicity studies and components analysis studies is increasing. Among the SJDBT studies, the number of clinical study was only 1. Conclusion : We explored the recent research trend of SJDBT in Korea. As a result, We suggested three further research ways of SJDBT. Proposed research ways are exploring various effect of SJDBT, observing whether there is a difference of effect according to extracting and drying method, and conducting clinical research of SJDBT.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.18-33
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• 2014

A Word is the smallest unit for text analysis, and the premise behind most text-mining algorithms is that the words in given documents can be perfectly recognized. However, the newly coined words, spelling and spacing errors, and domain adaptation problems make it difficult to recognize words correctly. To make matters worse, obtaining a sufficient amount of training data that can be used in any situation is not only unrealistic but also inefficient. Therefore, an automatical word extraction method which does not require a training process is desperately needed. WordRank, the most widely used unsupervised word extraction algorithm for Chinese and Japanese, shows a poor word extraction performance in Korean due to different language structures. In this paper, we first discuss why WordRank has a poor performance in Korean, and propose a customized WordRank algorithm for Korean, named KR-WordRank, by considering its linguistic characteristics and by improving the robustness to noise in text documents. Experiment results show that the performance of KR-WordRank is significantly better than that of the original WordRank in Korean. In addition, it is found that not only can our proposed algorithm extract proper words but also identify candidate keywords for an effective document summarization.

• Korean Institute of Interior Design Journal
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• v.25 no.3
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• pp.102-111
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• 2016

There are various form of public elements in modern urban space. These public elements mingle with sociocultural elements which consist of each city, determining urban environment's image. Especially, since the social value of design becomes important, the social role of public design has been emphasized as an effective value for public interest and environment. It is just about 10 years since design mind in the public sector has been made domestically. Even though domestic public design has been studied not so long, it has developed with radical change of social culture and science technology. This study targets public environment in modern dense urban space. Also, it grasps the trend of public design studies through analysing and documentary survey of the existing studies, and based on that result, aims at presenting the direction that domestic public design studies should progress. This study selected 253 theses(1989.6~2015.11) by collecting primary, secondary data about public design studies, and implemented overall meta-analysing about the trend of domestic public design studies. As a result, public design has been studied intensively in the field of design about environment, architecture, etc. The trend analyzing of study purpose and keyword has a tendency which is weighted towards exploratory study focused on suggestion and development about object and realm of public design. The trend analyzing of study area tends to study overall part of public space or public facility rather than specific area and object. The most parts of studies analyze domestic area, especially Seoul metropolitan area. Also, the study method weighted in favor of some qualitative analysis has been utilized.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.467-474
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• 2018

To organize and document the contents of meetings and discussions is very important in various tasks. However, in the past, people had to manually organize the contents themselves. In this paper, we describe the development of a system that generates the meeting minutes automatically using the TextRank algorithm. The proposed system records all the utterances of the speaker in real time and calculates the similarity based on the appearance frequency of the sentences. Then, to create the meeting minutes, it extracts important words or phrases through a non-supervised learning algorithm for finding the relation between the sentences in the document data. Especially, we improved the performance by introducing the keyword weighting technique for the TextRank algorithm which reconfigured the PageRank algorithm to fit words and sentences.

• Korean Journal of Oriental Medicine
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• v.15 no.3
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• pp.63-74
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• 2009

Background and Purpose : Oncheongeum(溫淸飮) composed of Samultang(四物湯) and Hwangryunhaedoktang(黃連解毒湯) was mainly used for healing metrorrhagia in the Qing dynasty of China. At present, Oncheongeum is used for treating a broad spectrum of diseases such as skin disease, stomatitis, behcets disease, diabetes mellitus and, especially in Japan, atopic dermatitis. To our knowledge, however, neither the precise constituents and their effects of Oncheongeum nor the criteria for the prescription of Oncheongeum were defined. To address this issue, we searched and performed analysis of Korean, Chinese and Japanese articles reporting the clinical and experimental studies of Oncheongeum. Methods : We searched articles in the national assembly library of Korea by using keyword 'Oncheongeum' korean. Similarly, we did chinese articles in the CNKI and japanese ones in the CiNii, respectively. Results : We found 13 korean articles about Oncheongeum in the national assembly library, 34 chinese articles in the CNKI, and 23 japanese in the CiNii. The papers were divided into clinical and experimental articles. The clinical articles were mainly published from China and Japan, and their subjects were predominantly on skin diseases. Conclusions : There were a lot of case reports about Oncheongeum used in the clinical studies. In order to better understand the effects of Oncheongeum, systematic review of the studies seems essential. The efficacy of Oncheongeum reported in the clinical studies should be supported by experimental data. Not much were clinical reports in Korea, although we are expecting more to come. It is possible to not only analyse but compare Oncheongeum with other prescriptions used for atopic dermatitis. More comprehensive and comparative analysis of three countries' prescriptions might provide a way of how to standardize prescriptions, which leads oriental medicine to an evidence based medicine.

• The KIPS Transactions:PartB
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• v.15B no.3
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• pp.211-218
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• 2008

In this paper, we proposed a new image summarization algorithm designed for automatically summarizing user's snapshot photos taken in a virtual environment based on user's context information and educational contents, and then presenting a summarized photos shortly after user's virtual reality experience. While other image summarization algorithms used date, location, and keyword to effectively summarize a large amount of photos, this algorithm is intended to improve users' memory retention by recalling their interests and important educational contents. This paper first describes some criteria of extracting the meaningful images to improve learning effects and the identification rate calculations, followed by the system architecture that integrates the virtual environment and the viewer interface. It will also discuss a user study to model the algorithm's optimal identification rate and then future research directions.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.4
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• pp.281-290
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• 2013

The IT asset is a core part that supports the management objective of an organization, and the fast settlement of the IT asset fault is very important. In this study, a fault recovery prediction technique is proposed, which uses the existing fault data to address the IT asset fault. The proposed fault recovery prediction technique is as follows. First, the existing fault recovery data were pre-processed and classified by fault recovery type; second, a rule was established for the keyword mapping of the classified fault recovery types and reported data; and third, a machine learning process that allows the prediction of the fault recovery method based on the established rule was presented. To verify the effectiveness of the proposed machine learning process, company A's 33,000 computer fault data for the duration of six months were tested. The hit rate for fault recovery prediction was approximately 72%, and it increased to 81% via continuous machine learning.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.89-96
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• 2006

In this paper, we propose two approaches for the character segmentation on Korean document images. One is an improved version of a projection profile-based algorithm. It involves estimating the number of characters, obtaining the split points and then searching for each character's boundary, and selecting the best segmentation result. The other is developed for low quality document images where adjacent characters are connected. In this case, parts of the projection profile are cut to resolve the connection between the characters. This is called ${\alpha}$-cut. Afterwards, the revised former segmentation procedure is conducted. The two approaches have been tested with 43,572 low-quality Korean word images punted in various font styles. The segmentation accuracies of the former and the latter are 91.81% and 99.57%, respectively. This result shows that the proposed algorithm using a ${\alpha}$-cut is effective for low-quality Korean document images.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.2
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• pp.239-246
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• 2016

In recent years, the power demand has been increasing steadily and the occurrence of maximum power demand has been moving from the summer season to the winter season in Korea. And since the control of electric power supply and demand is more important under those situations, a micro-grid system began to emerge as a keyword for the sTable operation of electric power system. A micro-gird power system is composed of various kinds of distributed generators(DG) such as small diesel generator, wind turbine, photo-voltaic generator and energy storage system(ESS). This paper introduces a method to determine the optimal capacities of the distributed generators which are installed in a stand-alone type of microgrid power system based on the fundamental proportion of diesel generator. At first, the fundamental proportion of diesel generator will be determined by changing from 0 to 50 percent. And then we will optimize the capacities of renewable energy resources and ESS according to load patterns. Lastly, after recalculating the capacity of ESS with consideration for SOC constraints, the optimal capacities of distributed generators will be decided.