• The Korean Journal of Archival Studies
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• no.62
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• pp.5-39
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• 2019

The study aims to explore the alternatives through case analysis in the UK, which is quickly responding with appraisal policies and guidelines appropriate to the digital age. Through a theoretical study, it was confirmed that the concept of appraisal in the digital age was extended to decisions on which records to be created and acquired, and in this context, that the value of records needed to be determined at the earliest point in their life cycle. Furthermore, the advantages of macro-appraisal methods and the inevitability of expanding appraisal groups were outlined. Based on this discussion, the change in the British public record appraisal policy was discussed from a policy perspective, and the current British public record appraisal system was analyzed. Based on the analysis of various policy statements and guidelines, general appraisal criteria, 60 operation selection policies and appraisal processes were discussed. As a conclusion, this study discusses various alternatives to appraisal policies in the digital age.

• The Korean Journal of Applied Statistics
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• v.34 no.2
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• pp.191-204
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• 2021

Visual Question Answering (VQA) and image captioning are tasks that require understanding of the features of images and linguistic features of text. Therefore, co-attention may be the key to both tasks, which can connect image and text. In this paper, we propose a model to achieve high performance for VQA by image caption generated using a pretrained standard transformer model based on MSCOCO dataset. Captions unrelated to the question can rather interfere with answering, so some captions similar to the question were selected to use based on a similarity to the question. In addition, stopwords in the caption could not affect or interfere with answering, so the experiment was conducted after removing stopwords. Experiments were conducted on VQA-v2 data to compare the proposed model with the deep modular co-attention network (MCAN) model, which showed good performance by using co-attention between images and text. As a result, the proposed model outperformed the MCAN model.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.287-295
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• 2016

This study was conducted of students in their youth, who were having behavioral and emotional problems, anxiety, depression, and ADHD in their school. The participants took part in equestrian sports programs(equestrian program and apparatus program) twice a week, for 60 minutes each. To make progress in the study, mainly 4 scales are used as the standards of preliminary and post inspections : emotional and behavioral development scale, anxiety scale, depression scale, and ADHD scale. After conducting two-way ANOVA analysis, the conclusion was made as follows. The equestrian sports and horse riding exercise program which were used in this study did had an positive effect on emotional and behavioral scale, depression scale, anxiety scale, and ADHD scale. Moreover, it is determined that the equestrian sports had more positive effects than the equestrian sports which used apparatus. However, to precisely compare and contrast the effects of equestrian sports programs and apparatus programs, the follow-up studies need to limit the control group.

• The KIPS Transactions:PartB
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• v.13B no.4 s.107
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• pp.479-488
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• 2006

The iconic language interlace is designed to provide more convenient environments for communication to the target system than the keyboard-based interface. For this work, tendencies and features of vocabulary are analyzed in conversation corpora constructed from the corresponding domains with high degree of utilization, and the meaning and vocabulary system of iconic language are constructed through application of natural language processing methodologies such as morphological, syntactic and semantic analyses. The part of speech and grammatical rules of iconic language are defined in order to make the situation corresponding the icon to the vocabulary and meaning of the Korean language and to communicate through icon sequence. For linguistic ambiguity resolution which may occur in the iconic language and for effective semantic processing, semantic data focused on situation of the iconic language are constructed from the general purpose Korean semantic dictionary and subcategorization dictionary. Based on them, the Korean language generation from the iconic interface in semantic domain is suggested.

• Science of Emotion and Sensibility
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• v.15 no.4
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• pp.425-440
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• 2012

As the scale of the internet grows, the amount of subjective data increases. Thus, A need to classify automatically subjective data arises. Sentiment classification is a classification of subjective data by various types of sentiments. The sentiment classification researches have been studied focused on NLP(Natural Language Processing) and sentiment word dictionary. The former sentiment classification researches have two critical problems. First, the performance of morpheme analysis in NLP have fallen short of expectations. Second, it is not easy to choose sentiment words and determine how much a word has a sentiment. To solve these problems, this paper suggests a combination of using web-scale data and a statistical approach to sentiment classification. The proposed method of this paper is using statistics of words from web-scale data, rather than finding a meaning of a word. This approach differs from the former researches depended on NLP algorithms, it focuses on data. Hadoop and MapReduce will be used to handle web-scale data.

• Journal of KIISE:Software and Applications
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• v.30 no.11
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• pp.1112-1123
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• 2003

WSD(word sense disambiguation) is one of the most difficult problems in Korean information processing. The Bayesian model that used semantic information, extracted from definition corpus(1 million POS-tagged eojeol, Korean dictionary definitions), resulted in accuracy of 72.08% (nouns 78.12%, verbs 62.45%). This paper proposes the statistical WSD model using NPH(New Prior Probability of Homonym sense) and distance weights. We select 46 homonyms(30 nouns, 16 verbs) occurred high frequency in definition corpus, and then we experiment the model on 47,977 contexts from ‘21C Sejong Corpus’(3.5 million POS-tagged eojeol). The WSD model using NPH improves on accuracy to average 1.70% and the one using NPH and distance weights improves to 2.01%.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.7
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• pp.257-262
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• 2021

Accidents caused by black ice occur frequently every winter, and the fatality rate is very high compared to other traffic accidents. Therefore, a systematic method is needed to predict the black ice formation before accidents. In this paper, we proposed a black ice prediction model based on heterogenous and multi-type data. To this end, 12,574,630 cases of 46 types of land, infrastructure, transport public data and meteorological public data were collected. Subsequently, the data cleansing process including missing value detection and normalization was followed by the establishment of approximately 600,000 refined datasets. We analyzed the correlation of 42 factors collected to predict the occurrence of black ice by selecting only 21 factors that have a valid effect on black ice prediction. The prediction model developed through this will eventually be used to derive the route-specific black ice risk index, which will be utilized as a preliminary study for black ice warning alart services.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.30-40
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• 2021

Ratings and reviews, despite their growing influence on restaurants' sales and reputation, entail a few limitations due to the burgeoning of reviews and inaccuracies in rating systems. This study explores the texts in reviews and ratings of a delivery application and discovers ways to elevate review credibility and usefulness. Through a text mining method, we concluded that the delivery application 'Yogiyo' has (1) a five-star oriented rating dispersion, (2) a strong positive correlation between rating factors (taste, quantity, and delivery) and (3) distinct part of speech and morpheme proportions depending on review polarity. We created a chicken-specialized negative word dictionary under four main topics and 20 sub-topic classifications after extracting a total of 367 negative words. We provide insights on how the research on delivery app reviews should progress, centered on fried chicken reviews.

• Journal of the Korean Recycled Construction Resources Institute
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• v.1 no.1
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• pp.72-80
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• 2005

A recycled aggregate contains impurities that affect negative effects on physical properties of concrete. Therefore, a test method for examining impurities content in recycled aggregate is necessary before use of recycled aggregate. In this study, the test method by visual examination for separating impurities in recycled fine and coarse aggregates was developed. The results of the test are as follow: 1. The current KS F 2576 was necessary for comprehensive revision including types of tested recycled aggregate, definition of terminology, quantity of sample, and test method. 2. Visual examination is appropriate for larger than impurity panicle size of 1.2mm, and the larger panicle size the shorter time was required. 3. For the impurity content test by visual examination, the easiness and accuracy of the test can be obtained from the condition of sample weight of 30 grams with particle size of 2.5mm to 5mm for recycled fine aggregate and the condition of sample weight of 1 kilogram with panicle size of larger than 5mm for recycled coarse aggregate.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1024-1029
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• 2009

중장년층 타겟 휴대폰 개발을 위하여, 타겟 사용자 인터뷰를 통해 실 사용패턴을 관찰하고 불편사항에 대한 실질적인 반응을 얻을 수 있다. 사전조사 및 2 차에 걸친 심층 인터뷰 결과로 도출된 guideline 에서 크게 접근성과 간결성의 두 개 category 를 interface design 시 고려할 것을 제안한다. 첫째, 접근성의 경우 물리적, 구조적, 화면 그래픽적 방법을v통하여 지원할 수 있다. 단축버튼 적용, 버튼 및 항목명의 한글 표기, 정보 표시 구조, 정보표시 순서의 조정을 통하여 사용성을 향상시킬 수 있다. 둘째, 간결성의 경우에는 정보의 선별, 강조와 제거 방법을 사용하여 지원 가능하다. 중장년층을 고려하였을 때 가독성을 향상시키는 것 또한 간결성 향상과 큰 관련이 있다. 보조를 위한 별도 기능을 추가하는 것과 정보가(information value)의 차별화, 화면복잡도의 조정을 통하여 사용성을 향상시킨다. 각 guideline 에 대한 사례를 서술하여 참고할 수 있도록 하였다. 기타 보조적 수단으로 중장년층을 사용성을 지원할 수 있는 기능의 추가, 기타 사용자 오류 패턴 연구를 소개한다. 이러한 일련의 사례연구를 통하여 특정 계층을 위한 interface 설계를 용이하게 하여 해당 계층이 만족스럽게 사용할 수 있고 더 나아가 시장에서의 차별화를 제공하는 휴대폰을 개발할 수 있다.