• Smart Media Journal
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• v.5 no.3
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• pp.62-66
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• 2016

The recent increase in virtual reality (VR) technology around the world has been VR work in cooperation with technology from other sectors to form new trends. In the case of advertising, it is difficult to trace if VR users viewed a certain piece of advertisement because the current technology does not allow them to interact with the screen. Eye tracking technology can act as a solution to the problem of tracing advertisement views as it allows for data extraction in relation to which advertisements were viewed and for how long. The research paper suggests a method of how to track the eyes of users in VR advertising. The suggested method includes communication between a server and VR HMD (virtual reality head mounted display) as well as a screen of output from the server.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.458-470
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• 2018

As the requirements of web apps become complex and rapidly changing, the maintenance of web apps becomes more important. However, web apps have a problem that more often than not there is not enough documentation to understand and maintain them. Thus, their effective maintenance requires models that represent their internal behavior occurring when they dynamically generate web pages. Previous works identify web components (such as JSPs and Servlets) as participants in the behavior but not web resources (such as images, CSS files, and JavaScript files). Moreover, they do not identify dependency relations between web components and web resources. This paper dynamically analyzes Java web apps to extract such dependency relations, which are included in our graph model for page generation. Case studies using open-source web apps show the applicability of the proposed approach.

• Food Science and Preservation
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• v.6 no.4
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• pp.435-441
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• 1999

This study was carried out to sensory evaluation of persimmon leaf by roasting and steaming. The good sensory evaluation of persimmon leaf tea of cutting after different steamed times was shown in 3 minutes and 5 minutes steamed tea. Taste sensory score was increased in proportion to increasing of soluble solid and extraction yield and the increasing of color sensory score had relation to increasing of color value. The best sensory score was in roasted persimmon leaf tea of 5 minutes roasting in persimmon leaf tea of cutting after steaming of 3 minutes and 5 minutes. The best sensory score was shown in 3 minutes steamed in 5 minutes roasted which was culled after different steaming times. The total sensory non of roasted tea was influenced from preprocessing and total sensory score of roasted tea was higher than Just steamed tea. According to above result, the sensory score of roasted tea was more higher than steamed tea and the highest score was in 5 minutes roasted tea which was cutted after 3 minutes steamed.

• The Journal of Korean Medicine
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• v.40 no.3
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• pp.139-176
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• 2019

Objectives: This study aims to review the herbal medicines containing substances banned by World Anti-Doping Agency(WADA), and to consider criteria for the using of herbal medicines. Methods: Using foreign(Pubmed, Cochrane, Embase, Google Scholar, WANFANG, CiNii) and domestic databases (NDSL, OASIS, RISS), we analyzed the content and pharmacokinetics of the prohibited substances in herbal medicines. Results: Herbal medicines containing the prohibited substances proposed in Korea, China, and Japan are Ephedrae Herba, Cannabis Semen, Strychni Semen, Strychni Ignatii Semen, Pinelliae Tuber, Rhizoma Pinelliae, Chelidonii Herba, Papaveris Fructus Deseminatus, Liriopis Tuber, Rehmanniae Radix Recens, Cistanchis Herba, Ponciri Fructus Immaturus, Aurantii Fructus Immaturus, Moschus, Testudinis Plastrum, Otariae Testis et Penis, and Hominis Placenta. Of these, when using Ephedrae Herba, Cannabis Semen, Strychni Semen, Moschus, Strychni Ignatii Semen, and Otariae Testis et Penis, caution is needed in relation to the doping test. Other herbal medicines are considered safe for the doping test. In addition, by analyzing data related to higenamine added to the WADA's prohibited list of doping since 2017, we don't recommend using Nelumbinis Plumula. And in the case of the other herbal medicines containing higenamine, it is considered that care should be taken in doping test depending on the amount of usage. Conclusions: As a result of analyzing the herbal medicines which are in prohibited list about doping, we were able to know the criteria and precautions to use when prescribing the herbal medicines. Further research will be needed about common used herbal medicines and the amount of detection depending on extraction and boiling method.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.91-98
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• 2019

The present study was performed to investigate the general research trends of dyslexia and learning disability to explore the centrality of related variables though analysis of keyword networks. Data were collected from ten years articles research information sharing service(RISS) which is provided by korea education and research information service(KERIS). The research subjects selected for the analysis were keyword cleansing work, extraction major keyword using KrKwic program and using NodeXL program to Visualize the center of connection between keyword. The results of this were as follows. First, totally 72 of keyword were extracted from keyword cleansing process and among those keyword. major keywords included learning disability, dyslexia, RTI. Second, analysis of the betweenness centrality of dyslexia and learing disabilities shows that learning disabilities are a key word that has been addressed in the study of dyslexia and learning disabilities in korea. The results of these studies suggest a method of analyzing trends in qualitative and qualitative analysis in relation to dyslexia and learning disorder.

• Journal of Korea Entertainment Industry Association
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• v.15 no.5
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• pp.99-113
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• 2021

This study to verify the influence of the macroeconomic factors to sportainment industry and also to find the value of use. For this, 'Dow Jones Industrial Average (DJIA)', 'West Texas intermediate (WTI)', and 'Gold Price (GP)' were selected from macroeconomic factors, and the 'Stock Price' of NIKE and Adidas for sportainment industry factor. The transaction data for 20 years (5,285 trade days) were analyzed through a two-step extraction process. Durbin-Watson regression analysis was performed to prove the influence and predict. From these analyses, the first, the Macroeconomics factors were found to have a significant effect on the sportainment industry. The second, each different levels of regression equations were found by the time setting, the environmental characteristics of each time period, and mutual relation between factors. Finally, it was found that the regression equation between specific period can be used for the future prediction in sportainment industry.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.648-653
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• 2023

관계 추출 태스크는 주어진 텍스트로부터 두 개체 간의 적절한 관계를 추론하는 작업이며, 지식 베이스 구축 및 질의응답과 같은 응용 태스크의 기반이 된다. 최근 자연어처리 분야 전반에서 생성형 거대 언어모델의 내재 지식을 활용하여 뛰어난 성능을 성취하면서, 대표적인 정보 추출 태스크인 관계 추출에서 역시 이를 적극적으로 활용 가능한 방안에 대한 탐구가 필요하다. 특히, 실 세계의 추론 환경과의 유사성에서 기인하는 저자원 특히, 제로샷 환경에서의 관계 추출 연구의 중요성에 기반하여, 효과적인 프롬프팅 기법의 적용이 유의미함을 많은 기존 연구에서 증명해왔다. 따라서, 본 연구는 한국어 관계 추출 분야에서 거대 언어모델에 다각적인 프롬프팅 기법을 활용하여 제로샷 환경에서의 추론에 관한 비교 연구를 진행함으로써, 추후 한국어 관계 추출을 위한 최적의 거대 언어모델 프롬프팅 기법 심화 연구의 기반을 제공하고자 한다. 특히, 상식 추론 등의 도전적인 타 태스크에서 큰 성능 개선을 보인 사고의 연쇄(Chain-of-Thought) 및 자가 개선(Self-Refine)을 포함한 세 가지 프롬프팅 기법을 한국어 관계 추출에 도입하여 양적/질적으로 비교 분석을 제공한다. 실험 결과에 따르면, 사고의 연쇄 및 자가 개선 기법 보다 일반적인 태스크 지시 등이 포함된 프롬프팅이 정량적으로 가장 좋은 제로샷 성능을 보인다. 그러나, 이는 두 방법의 한계를 지적하는 것이 아닌, 한국어 관계 추출 태스크에의 최적화의 필요성을 암시한다고 해석 가능하며, 추후 이러한 방법론들을 발전시키는 여러 실험적 연구에 의해 개선될 것으로 판단된다.

• Korean Journal of Soil Science and Fertilizer
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• v.16 no.1
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• pp.28-35
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• 1983

The object of this study was to investigate the distribution of Cd fractions in paddy soils in relation to some soil characteristics and to find out the relationships between soil Cd fractions and Cd content in brown rice. Thirty six soils and rice samples were collected from the paddy field adjacent to zinc mining sites at harvest time in 1981. Total Cd content of brown rice samples was analyzed. A sequential extraction procedure was used to fractionate Cd in soils into the designated forms of exchangeable, adsorbed, organically bonded, carbonate, sulfide, and residual Cd. The results obtained were as follows: 1. The distribution of Cd fractions in soil showed a wide difference depending on soil properties. As an average value it was observed that organically bonded Cd amounted 43.7%; residual Cd, 6.5%; and other fractions, 10-15%. 2. With higher soil pH, organically bonded and carbonate Cd fraction tended to be higher but exchangeable fraction lower. Other forms of Cd showed no difference with soil reaction. 3. Organically bonded fraction was positively correlated with soil organic matter content, while others except adsorbed fraction showed an adverse tendency. 4. The relation of fraction distribution to soil C E C was similar to the case of organic matter. 5. Cadmium content in brown rice showed significant possitive correlation with organically bonded Cd content (r = 0.655) and carbonate, Cd content of soil (r = 0.328) but there was no significant correlation with contents of other forms.

• The KIPS Transactions:PartB
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• v.15B no.4
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• pp.375-382
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• 2008

A protein's subcellular localization is considered an essential part of the description of its associated biomolecular phenomena. As the volume of biomolecular reports has increased, there has been a great deal of research on text mining to detect protein subcellular localization information in documents. It has been argued that linguistic information, especially syntactic information, is useful for identifying the subcellular localizations of proteins of interest. However, previous systems for detecting protein subcellular localization information used only shallow syntactic parsers, and showed poor performance. Thus, there remains a need to use a full syntactic parser and to apply deep linguistic knowledge to the analysis of text for protein subcellular localization information. In addition, we have attempted to use semantic information from the WordNet thesaurus. To improve performance in detecting protein subcellular localization information, this paper proposes a three-step method based on a full syntactic dependency parser and WordNet thesaurus. In the first step, we constructed syntactic dependency paths from each protein to its location candidate, and then converted the syntactic dependency paths into dependency trees. In the second step, we retrieved root information of the syntactic dependency trees. In the final step, we extracted syn-semantic patterns of protein subtrees and location subtrees. From the root and subtree nodes, we extracted syntactic category and syntactic direction as syntactic information, and synset offset of the WordNet thesaurus as semantic information. According to the root information and syn-semantic patterns of subtrees from the training data, we extracted (protein, localization) pairs from the test sentences. Even with no biomolecular knowledge, our method showed reasonable performance in experimental results using Medline abstract data. Our proposed method gave an F-measure of 74.53% for training data and 58.90% for test data, significantly outperforming previous methods, by 12-25%.

• The korean journal of orthodontics
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• v.29 no.2 s.73
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• pp.277-284
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• 1999

The purpose of this study was to evaluate the relation between the treatment duration and cephalometric measurements and the PAR index in Class I malocclusion patients. In 100 Class I malocclusion patients, PAR score and cephalometric measurements were taken from study model and cephalometric radiographs and analyzed statistically. The results of this study were obtained as follows: 1. treatment duration was correlated with extraction and pre PAR index. 2. ANB, FMA, FMIA and IMPA exhibited positive correlation between pre PAR index and pretreatment cephalometric measurements. 3. $\underline{1}$ to FP exhibited positive correlation between post PAR index and posttreatment cephalometric measurements, and $\overline{1}$ to FP exhibited negative correlation. 4. $\underline{1}$ to SN, IIA and $\overline{1}$ to FP exhibited positive correlation between ${\%}\;PAR$ reduction and the change of cephalometric measurements and FMA FMIA, WITS and UL exhibited negative correlation. The results of this study indicate that PAR index taken from study model relate with items concerned with upper and lower incisors, and there are the tendency that pretreatment PAR index are larger in the patients with large Am value and hyperdivergent face.