• The Journal of Korean Medicine
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• v.36 no.1
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• pp.33-44
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• 2015

Objectives: The aim of this study was to understand the characteristics of herbal-drug-associated adverse events (AEs) reported in the internet newspaper articles and to take a countermeasure against the safety issue of herbal drugs. Methods: We searched the internet newspaper articles published from 2010 to 2014 in the 3 major portal sites in Korea, NAVER, DAUM, and GOOGLE. Search terms were the Korean words equivalent of 'herbal drug' and 'side effects'. Informations on the type and characteristics of suspected herbal drugs, AEs, and the patient records were extracted from the articles reporting the herbal-drug-associated AE occurred in Korea. Results: From 8,806 articles, a total of 36 AEs were found. The most frequently reported age group was 20s, and women outnumbered men. Obesity was the most common cause of administration. Doctors of Korean medicine clinic were the most commonly referred prescribers and purchasing route (11 cases). The most frequently mentioned medicinal herb was Ephedra sinica (7 cases) and the most commonly reported AEs were abdominal pain (8 cases), dizziness (6 cases), diarrhea (5 cases), and vomiting (5 cases) were followed in order. Ten cases were judged as serious AEs, and the others were not. Conclusions: Current customers demand health care providers to offer them sufficient information on the safety of herbal drugs. To satisfy their requirements, physicians of Korean medicine should be able to explain, predict, prepare, recognize, and deal with the herbal-drug-associated AEs. We propose an establishment of pharmacovigilance system for herbal medicine, in which doctors of Korean medicine are participated as important personnel, to collect and analyze the related AEs and offer credible information on the safety of herbal drug.

• Journal of Acupuncture Research
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• v.32 no.2
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• pp.123-130
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• 2015

Objectives : Primary dysmenorrhea is one of the most common female gynecological diseases. Acupuncture and moxibustion therapy have been used to treat dysmenorrhea in Korea. The aim of this review was to examine the effectiveness of acupuncture and moxibustion therapy for primary dysmenorrhea as described in studies in Korea. Methods : A total of 8 databases were searched, with the search concluding February 15, 2015. These were the Oriental Medicine Advanced Searching Integrated System, DBpia, Korean Studies Information Service System, National Digital Science Library, Korean Traditional Knowledge Portal, Research Information Sharing Service, and Pubmed. Randomized controlled Trails(RCTs) comparing acupuncture or moxibustion therapy with non acupoints stimulation or medication were selected. Data abstraction and assessment of methodology was conducted by authors and disagreements were resolved by discussion. Results : 7 trials were included in this review, with a total of 308 participants. 4 trials reported on acupuncture, 1 trial reported on acupress by magnet, 1 trial reported on pharmacopuncture, and the other trial reported on moxibustion. Quality of methodology was low. 2 trials showed that experimental therapy was effective for pain relief compared to the controlled group. However, 5 trials did not show a significant difference in pain relief. Conclusions : Acupuncture and moxibustion therapy may reduce period pain, however, it is needed for well designed RCTs in Korea.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.23-32
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• 2013

The object of study is to compare the response times between WiBro and wired internet in terms of users. We conducted experiments using six portal sites such as Naver, Daum, Google, Paran, Nate, and Yahoo. Because we could not receive all signal levels of WiBro at the same palace, we compared WiBro levels 1~3 and wired internet. We verified wired internet is significantly the fastest among wired internet and than WiBro levels 1~3. We could not find which level is the fastest among WiBro levels 1~3. On average, wired internet is faster than WiBro level 1, 2 and 3 about 5.05, 4.20, and 4.14 times, respectively. In addition to comparing WiBro levels 4~5 and wired internet, more researches on accelerating the response times are needed.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.5
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• pp.64-73
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• 2011

The problem of Euclidean minimum spanning tree (EMST) is to connect given nodes in a plane with minimum cost. There are many algorithms for the polynomial time problem as EMST. However, for numerous nodes, the algorithms consume an enormous amount of time to find an optimal solution. In this paper, an approximation scheme using a polynomial time approximation scheme (PTAS) algorithm with dividing and parallel processing for the problem is suggested. This scheme enables to construct a large, approximate EMST within a short duration. Although initially devised for the non-polynomial problem, we employ naive PTAS to construct a vast EMST with dynamic programming. In an experiment, the approximate EMST constructed by the proposed scheme with 15,000 input terminal nodes and 16 partition cells shows 89% and 99% saving in execution time for the serial processing and parallel processing methods, respectively. Therefore, our scheme can be applied to obtain an approximate EMST quickly for numerous input terminal nodes.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.5
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• pp.25-34
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• 2010

By introducing additional nodes called Steiner points, the problem of Steiner Minimum Tree whose length can be shorter than Minimum Spanning Tree and which connects all input terminal nodes belongs to Non-Polynomial Complete domain. Though diverse heuristic methods can be applied to the problem, most of them may meet serious pains in computing and waiting for a solution of the problem with numerous input nodes. For numerous input nodes, an efficient PTAS approximation method producing candidate unit steiner trees with portals in most bottom layer, merging them hierarchically to construct their parent steiner trees in upper layer and building swiftly final approximation Steiner tree in most top layer is suggested in this paper. The experiment with 16,000 input nodes and designed 16 unit areas in most bottom layer shows 85.4% execution time improvement in serial processing and 98.9% in parallel processing comparing with pure Steiner heuristic method, though 0.24% overhead of tree length. Therefore, the suggested PTAS Steiner tree method can have a wide range applications to build a large scale approximation Steiner tree quickly.

• Journal of Preventive Medicine and Public Health
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• v.40 no.4
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• pp.259-264
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• 2007

Effective communicable disease surveillance systems are the basis of the national disease prevention and control. Following the increase in emerging and re-emerging infectious diseases since late 1990s, the Korean government has strived to enhance surveillance and response system. Since 2000, sentinel surveillance, such as influenza sentinel surveillance, pediatric sentinel surveillance, school-based sentinel surveillance and ophthalmological sentinel surveillance, was introduced to improve the surveillance activities. Electronic reporting system was developed in 2000, enabling the establishment of national database of reported cases. Disweb, a portal for sharing communicable disease information with the public and health care workers, was developed. In general, the survey results on usefulness and attributes of the system, such as simplicity, flexibility, acceptability, sensitivity, timeliness, and representa-tiveness, received relatively high recognition. Compared to the number of paid cases of national health insurance, reported cases by national notifiable disease surveillance system, and various sentinel surveillance system, the result of the correlation analysis was high. According to the research project conducted by KCDC, the reporting rate of physicians in 2004 has also greatly improved, compared with that in 1990s. However, continuous efforts are needed to further improve the communicable disease surveillance system. Awareness of physicians on communicable disease surveillance system must be improved by conducting education and information campaigns on a continuous basis. We should also devise means for efficient use of various administrative data including cause of death statistics and health insurance. In addition, efficiency of the system must be improved by linking data from various surveillance system.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.45-58
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• 2019

As modern people's daily lives are becoming more harsh in Korea, the so-called Kidults generation has appeared since a few years ago as adults have come back to their childhood sensibility and are exposed to various cultures online, and there are many people who have a hobby for collecting toys. However, as there is currently no formalized system for individual toy trade online, it is difficult to acquire expertise and share information with each other through a major portal site's $caf{\acute{e}}$, and is exposed to security or fraud while trading toys. In this paper, we design and implementation of a web-based toy trading system. Analyzing the advantages and disadvantages of the various trading and relay systems currently in use, it will provide opportunities for professional toy knowledge and information exchange to many users who have a hobby of collecting toys, and will greatly help vitalize the toy market through a secure and convenient trading environment between individuals.

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.39-47
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• 2021

This study was conducted to propose a product planning prediction model using logistic regression algorithm to predict seasonal factors and rapidly changing product trends. First, we collected unstructured data of consumers in portal sites and online markets using web crawling, and analyzed meaningful information about products through preprocessing for transformation of standardized data. The datasets of 11,200 were analyzed by Logistic Regression to analyze consumer satisfaction, frequency analysis, and advantages and disadvantages of products. The result of analysis showed that the satisfaction of consumers was 92% and the defective issues of products were confirmed through frequency analysis. The results of analysis on the use satisfaction, system efficiency, and system effectiveness items of the developed product planning prediction program showed that the satisfaction was high. Defective issues are very meaningful data in that they provide information necessary for quickly recognizing the current problem of products and establishing improvement strategies.

• Journal of the Korea Society of Computer and Information
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• v.26 no.10
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• pp.157-165
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• 2021

Recently, studies using deep learning to analyze a large amount of text are being actively conducted. In particular, a pre-trained language model that applies the learning results of a large amount of text to the analysis of a specific domain text is attracting attention. Among various pre-trained language models, BERT(Bidirectional Encoder Representations from Transformers)-based model is the most widely used. Recently, research to improve the performance of analysis is being conducted through further pre-training using BERT's MLM(Masked Language Model). However, the traditional MLM has difficulties in clearly understands the meaning of sentences containing new words such as newly coined words. Therefore, in this study, we newly propose NTM(Newly coined words Target Masking), which performs masking only on new words. As a result of analyzing about 700,000 movie reviews of portal 'N' by applying the proposed methodology, it was confirmed that the proposed NTM showed superior performance in terms of accuracy of sensitivity analysis compared to the existing random masking.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1152-1157
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• 2021

This paper proposes a face recognition method for access control of apartment building. Different from most existing face recognition methods, the proposed one does not require any manual process for face enrollment. When a person is exiting through the main entrance door, his/her face data (i.e., face image and face feature) are automatically extracted from the captured video and registered in the database. When the person needs to enter the building again, the face data are extracted and the corresponding face feature is compared with the face features registered in the database. If a matching person exists, the entrance door opens and his/her access is allowed. The face data of the matching person are immediately deleted and the database has the latest face data of outgoing person. Thus, a higher recognition accuracy could be expected. To verify the feasibility of the proposed method, Python based face recognition has been implemented and the cloud service provided by a web portal.