• 컴퓨터교육학회논문지
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• 제19권6호
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• pp.55-68
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• 2016

2015 개정 정보과 교육과정에서는 문제해결과 프로그래밍 단원을 나선형으로 조직하면서 학교급 별로 블록형과 텍스트형 프로그래밍 언어의 사용을 제안하였다. 본 연구는 프로그래밍 학습에서 알고리즘 작성이 프로그래밍 학습에 도움을 주는지, 블록형 프로그래밍 학습이 텍스트형 프로그래밍 후행학습에 긍정적 전이효과가 있는지를 확인하기 위한 목적으로 진행되었다. 목적 달성을 위해 초등학생 15명을 대상으로 블록형과 텍스트형 프로그래밍 학습을 진행하였다. 연구 결과, 한정된 방법으로 알고리즘을 작성하는 것은 학습자들의 사고 표현을 가로막을 수 있지만 블록형 프로그래밍 학습은 텍스트형 프로그래밍 학습에 긍정적 전이가 있음을 확인하였다. 본 연구는 초등학교부터 계열성 있는 프로그래밍 교육을 위한 방안을 제시하였다는 것에 의의가 있다.

• Genomics & Informatics
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• 제18권2호
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• pp.15.1-15.6
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• 2020

Named entity recognition tools are used to identify mentions of biomedical entities in free text and are essential components of high-quality information retrieval and extraction systems. Without good entity recognition, methods will mislabel searched text and will miss important information or identify spurious text that will frustrate users. Most tools do not capture non-contiguous entities which are separate spans of text that together refer to an entity, e.g., the entity "type 1 diabetes" in the phrase "type 1 and type 2 diabetes." This type is commonly found in biomedical texts, especially in lists, where multiple biomedical entities are named in shortened form to avoid repeating words. Most text annotation systems, that enable users to view and edit entity annotations, do not support non-contiguous entities. Therefore, experts cannot even visualize non-contiguous entities, let alone annotate them to build valuable datasets for machine learning methods. To combat this problem and as part of the BLAH6 hackathon, we extended the TextAE platform to allow visualization and annotation of non-contiguous entities. This enables users to add new subspans to existing entities by selecting additional text. We integrate this new functionality with TextAE's existing editing functionality to allow easy changes to entity annotation and editing of relation annotations involving non-contiguous entities, with importing and exporting to the PubAnnotation format. Finally, we roughly quantify the problem across the entire accessible biomedical literature to highlight that there are a substantial number of non-contiguous entities that appear in lists that would be missed by most text mining systems.

• 컴퓨터교육학회논문지
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• 제22권3호
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• pp.79-87
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• 2019

본 연구는 이중부호화, 매체풍부성, 인지부하의 정도가 다른 e-러닝 콘텐츠가 학습에 미치는 영향을 살펴보고자 실행되었다. 이를 위해 e-러닝 콘텐츠의 학습내용 요약과 설명의 정보제시방식을 정보 양과 종류에 띠라 분류한 후, 교수실재감과 학업성취도에 미치는 영향을 살펴보았다. 요약 제시방식은 텍스트형과 텍스트+그림형으로, 설명 제시방식은 음성형과 음성+영상형으로 구분하였다. 본 연구의 결과는 다음과 같다. 첫째, 요약방식 중 텍스트+그림형의 교수실재감이 텍스트형보다 의의 있게 높았다. 둘째, 설명방식 중 음성형의 학업성취도가 음성+영상형보다 의의 있게 높았다. 셋째, 요약방식과 설명방식 간에 교수실재감과 학업성취도에서 유의미한 상호작용이 있었다.

• 대한전자공학회논문지
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• 제27권2호
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• pp.73-80
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• 1990

Si의 기판상태, 불순물의 종류와 양, 어닐링온도 등을 달리하여 Ti-silicides를 형성시켰을 때 면 저항과 두께측정, 불순물들의 분포와 미세구조 관찰을 통하여 Ti-silicides 형성반응을 조사하였다. 기판상태, 불순물의 농도, 어닐링온도가 Ti-silicides 형성에 직접적으로 영향을 미쳤다. Amorphous Si 기판상에서 Ti-silicides가 형성되었을 때 $TiSi_2/Si$ 계면편평도가 보다 향상되었다. Poly-Si내 불순물의 농도가 $1{\times}10^{16}ions/cm^2$ 이상일 때 $TiSi_2$ 형성이 크게 억제되었고 면저항이 증가하였다. 불순물의 out-diffusion에 영향을 미치는 인자 중의 하나는 이온주입에너지에 의해 결정되는 초기 불순물의 분포였다. 이온주입 공정보다 $POCI_3$ 공정에서 불순물의 out-diffusion이 적게 나타났다.

• 대한안전경영과학회지
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• 제13권3호
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• pp.29-35
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• 2011

Safety and health related information for the proper use and handling of pesticides is usually printed on the surface of the pesticide products (bottle type or bag type) in the form of texts. But, the guidelines or standards for the appropriate presentation of the texts for the pesticide products are most vague or not practical. Thus, this study aimed to provide the preliminary guidelines for the text sizes based on the legibility experiments. Total twenty subjects from two age groups (young: n=10, old: n=10, five males and five females in each group) participated in the experiment. First, subjects read the text cards presented in the distance of 50cm from the eyes of the subjects. Eight different text card sets were prepared for different font type(thick gothic-type and fine gothic-type), thickness of font(plain and bold), and number of syllables (2 and 3 syllables). When subjects read the cards, the correctness of reading (correct or wrong) was recorded and the degree of discomfort (from 1: no discomfort at all to 4: can't read at all) was also evaluated for all the text sizes. Results showed that the character size should be 4 pt or larger for the young subjects to read at least one word correctly in all the text conditions. For the old subjects to read at least one word correctly, the character size should be five pt or larder. The average of the minimum character sizes for 100% correct answer is 6.1 pt for young subjects and 10.5 pt for old subjects, respectively.

• 대한물리의학회지
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• 제10권1호
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• pp.23-35
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• 2015

PURPOSE: People with physical disabilities such as cerebral palsy usually experience obstacles when interacting with computer through conventional keyboard because of their motor disabilities. The purpose of this study is empirically compare of text entry(alphabet and word) speed and accuracy using the three different keyboard type on four students(male 2 and female 2) with cerebral palsy. METHODS: This research design used a replicated single-case experimental approach to compare the individual performance. An alternating treatments design was used to examine the effectiveness of standard QWERTY keyboard and alternative keyboard(mini and big keyboard) on computer access for students with cerebral palsy. To avoid changes in posture that influence a keyboard character entry training and evaluation was carried out using his sitting in a wheelchair. Compass software program used in this study as an assessment tool to measure speed and accuracy when performance of text entry(alphabet and word). This was repeated until the stable status of reaction time. RESULTS: As a result, the alternative keyboard seems to be the most effective device for students with cerebral palsy to perform text entry. But various factors such as peculiarity of motor disabilities, experience and preferences of the user are heavily related. CONCLUSION: Thus, we must perform the objective and systematic assessment for computer access and if sustained training is accomplished, it could to improve speed and accuracy of text entry(alphabet and word).

• 한국과학교육학회지
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• 제14권1호
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• pp.45-57
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• 1994

The purpose of this study is to verify whether the FAST program is the Inquiry Science Curricular Materials, through the Comparison and Analysis of Inquiry Activities between the FAST program and our Secondary Science Books. The results of this study are as follows ; 1. FAST has 226 tasks of the Inquiry Activities, which is analyzed over two times than our text. 2. In level one, FAST holds the parts of Synthesizing Results and Evaluation, Hypothesizing and Designing an Experiment but u.ese aren't found in our text. 3. In level two, our text is analyzed No Discussion 72.2%, Demonstrating or Verifying the Content of the Text 82%, but FAST has Discussion Guided 81.8%, and isn't found any tesk of Demonstrating or Verifying the Content of the text. 4. In level three, our text is exposed a typical type I and analyzed Inquiry Index 15-25 ( Middle ), but FAST is found type IV, excepting Manipulating Apparatus and Observation and analyzed Inquiry Index over 35 ( Very - High ). Therefore, FAST Program is proved to be the desirable Inquiry Science Curricular Materials. In future, this worker is to arrange the results of the following paper as follows ; 1. The verification of the FAST Program by means of the Integrated Science Curricular Materials. 2. The development of the Inquiring, Integrated Science Curricular Materials through the results of the preceding study.

• 한국시뮬레이션학회논문지
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• 제11권3호
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• pp.35-48
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• 2002

In the work presented here, we describe a method to extract TrueType features for supporting letter recognition. Even if variously existing document processing techniques have been challenged, almost few methods are capable of recognize a letter associated with its TrueType features supporting OCR free, which boost up fast processing time for image text retrieval. By reviewing the mechanism generating digital fonts and birth of TrueType, we realize that each TrueType is drawn by its contour of the glyph table. Hence, we are capable of deriving the segment with density for a letter with a specific TrueType, defined by the number of occurrence over a segment width. A certain number of occurrence appears frequently often due to the fixed segment width. We utilize letter recognition by comparing TrueType feature library of a letter with that from input word images. Experiments have been carried out to justify robustness of the proposed method showing acceptable results.

• 정보관리연구
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• 제27권4호
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• pp.35-56
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• 1996

문서기술언어 SGML(Standard Generalized Markup Language, 표준 범용 마크업 언어)과 그 전문 데이터베이스(도표나 화상 포함)에의 적용에 대하여 해설하였다. SGML을 적용한 전문데이터베이스의 구조는 SGML로 작성한 DTD (document type definition)로 표현하고 텍스트자체는 DTD에 따른 범용 마크업을 사용하여 기술한다. 본고에서는 장, 절, 단락 등의 계층구조와 각주, 도표, 화살 등의 비계층 구조로 되어 있는 문서 구조를 어떻게 표현하는가에 대하여 예를 들어 해설하였다. 그러고 SGML의 효과, 전자 출판, 검색 시스템, 하이퍼텍스트, SGML 관련 도구 등에 대해서도 해설하였다.

• Asia pacific journal of information systems
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• 제29권4호
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• pp.789-816
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• 2019

Text classification is a challenging task, especially when dealing with a huge amount of text data. The performance of a classification model can be varied depending on what type of words contained in the document corpus and what type of features generated for classification. Aside from proposing a new modified version of the existing algorithm or creating a new algorithm, we attempt to modify the use of data. The classifier performance is usually affected by the quality of learning data as the classifier is built based on these training data. We assume that the data from different domains might have different characteristics of noise, which can be utilized in the process of learning the classifier. Therefore, we attempt to enhance the robustness of the classifier by injecting the heterogeneous data artificially into the learning process in order to improve the classification accuracy. Semi-supervised approach was applied for utilizing the heterogeneous data in the process of learning the document classifier. However, the performance of document classifier might be degraded by the unlabeled data. Therefore, we further proposed an algorithm to extract only the documents that contribute to the accuracy improvement of the classifier.