• 수산해양교육연구
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• 제27권5호
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• pp.1395-1403
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• 2015

The purpose of this research is to investigate the difference across children's grades in the ambiguous idiom comprehension, the relation with the ambiguous idiom comprehension and language, perspective-taking ability, and what the factors which can influence to comprehend the ambiguous idioms is. 70 elementary school students from 1st grade to 6th grade participated in this study. They were classified with 3 groups, A(1st-2nd grade), B(3rd-4th), C(5th-6th) group and tested in the ambiguous idiom comprehension, receptive vocabulary, problem-solving and perspective-taking. Results of this study are followed. First, there was a significant difference in three groups in the ambiguous idiom comprehension task. And there was significant difference between A group and B, C but not between B and C. Second, in relation with the ambiguous idiom and language ability, perspective-taking ability, there was positive relation with the ambiguous idiom comprehension and them. Finally, the factors which can influence to comprehend the ambiguous idioms is the receptive vocabulary ability, cue-assumption and resolution-inference ability in problem-solving. And the 3 factors explain 65.3% of ambiguous idiom comprehension ability.

• 대한환경공학회지
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• 제33권10호
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• pp.748-755
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• 2011

1960년대 산업화 이후 기계화가 가속되어 산업발달에 많은 기여를 하였으나 고소음 작업장에서 발생하는 소음피해에 대한 대책은 거의 없는 실정이다. 특히 공장 및 작업장에서 발생하는 기계소음은 반복적으로 되풀이되어 충격적이며, 강한 소음으로 대부분의 현장 작업자들은 높은 불쾌감과 청력장애의 위험을 부담하고 있다. 이러한 관점에서 이 연구는 고소음 작업장에서 발생하는 작업기계 소음을 평가하기 위한 적정 평가어휘를 추출하고자 했으며, 이렇게 추출된 어휘는 작업 기계소음을 평가하기 위한 음향심리 실험 및 기계소음 규제기준 설정을 위한 유용한 자료로 활용될 수 있을 것으로 사료된다.

• 한국음향학회:학술대회논문집
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• 한국음향학회 1994년도 FIFTH WESTERN PACIFIC REGIONAL ACOUSTICS CONFERENCE SEOUL KOREA
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• pp.1033-1038
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• 1994

This paper describes recognition results using the modified Learning Vector Quantization (MLVQ2) method which we proposed previously. At first, we investigated the property of duration of 29 Korean consonants and found that the variances of th duration were extremely big comparing to other languages. We carried out preliminary recognition experiments for three stop consonants P, T and K. From the recognition results, we defined the optimum conditions for the learning. Then we applied the MLVQ2 method to the recognition of Korean consonants. The training was carried out using the phoneme samples in the 611 word vocabulary uttered by 2 male speakers, where each of the speakers uttered two repetitions. The recognition experiment was carried out for the phoneme samples in two repetitions of the 611 word vocabulary uttered by another male speaker. The recognition scores for the twelve plosives were 68.2% for the test samples. The recofnition scores for the 29 Korean consonants were 64.8% for the test samples.

• 한국산업정보학회논문지
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• 제4권2호
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• pp.102-108
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• 1999

교착어인 한국어를 대상으로 대용량의 대화체 어휘를 포함하는 연속 음성을 인식하는 데에는 인식단위를 결정하는 것이 매우 중요하다. 본 논문에서는 어절이나 형태소를 사용하는 기존의 음성인식 시스템에서의 난점을 해소하고 새로운 인식단위인 의사형태소를 제안하고, 입력되는 문장을 의사 형태소 단위로 분석하는 형태소 분석기와 태거를 구현하였다. 의사형태소를 이용한 음성인식/합성은 어절이나 형태소단위의 음성인식/합성에서 보다 개선된 결과를 얻을 수 있게 해주며, 인식의 출력을 인식의 다음 단계인 언어처리부의 처리단위와 일치시킬 수 있으므로 전체적인 음성언어 번역시스템의 성능도 높일 수 있다. 본 논문에서 구현한 시스템은 일반 형태소를 대상으로 하는 시스템과 동일한 수준의 성능을 보였다.

• 한국어학
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• 제80권
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• pp.49-85
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• 2018

The purpose of this study is to research and systematize Jeju dialectal words about Jeju traditional housing culture and study them on the basis of lexical semantics. Vocabularies related to the names of the traditional thatched-roof house and its partial names, thatching, supplementary facilities, housing culture, etc. were categorized after recording in an ethnographic way from Seongeup folk village which is Important Folklore Material no.188, and studied them linguistically. Informants are fore people who were born and bred in Seongeup-ri and they are over 70. They have a lot of experiences building thatched-roof houses from a young age. There are 9 different categories - the kind of the house, partial names, exterior space, materials, tools, words about actions, doers, units, and folklore. Some new words related to Jeju traditional housing, which had not been in the list of Korean dictionary, could be introduced as a result of the study. For example, rice which are made when doing earth work is called Heukppap and adzes used to sharpen stones are called Dolchagui. The finding of These new words hopefully contribute to the promotion of Korean language as well as enrich vocabulary on housing. Furthermore, the collected vocabularies and oral materials could be used as important educational materials to comprehend Jeju traditional housing culture.

• Asia pacific journal of information systems
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• 제32권2호
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• pp.275-306
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• 2022

Crowdfunding has emerged as an important financing source for diverse cultural projects and commercial ventures in the early stages. Unlike traditional investment evaluation, where structured financial data is critical, such information is typically unavailable for crowdfunding campaigns. Instead, campaign creators prepare pitches containing essential information about themselves and the campaigns, which are crucial in attracting and persuading contributors. Prior literature has examined the effects of different aspects in campaign pitches, but a comprehensive understanding of the theme is lacking. This study aims to fill this gap by identifying the lexicon of frequently used vocabulary in campaign pitches and examining how they are associated with crowdfunding success. Moreover, we examine how the association differs between culture and commercial crowdfunding campaigns. We randomly collected 50,000 campaigns from the cultural and commercial categories on Kickstarter and extracted the 100 most used verbs in the campaign pitches. Based on a machine learning approach combined with principal component analysis, we constructed sets of verbal factors statistically significant in predicting crowdfunding success. The findings also show that cultural and commercial campaigns consist of different verbal components with different effects on crowdfunding success.

• 한국실내디자인학회논문집
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• 제19권1호
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• pp.112-120
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• 2010

Generally, Interior design understood as shapes, lines, spaces, tones, quality, and principal. And people research these with a study of formative approach. The six elements of above categories are basis of expansion for the various designs. In this study, the represented design language is extracted by the basic 6 stages and re-divided into classes. This study presented by the Kobayashi-scale image of the current trends in the assignment to examine the cultural, functional, sensory vocabulary, three elements were classified by the assignment about 2008~2009 international fair by trend and design direction for the image. If we look into the categorized format of the design, it reflects mixed culture with emotional approach and shows direction of design constantly. Especially, compared to the year 2008, the design of year 2009 has tendency as an emotional translator regarding the verbal expression. In other words, it becomes more concrete to express the design of emotions for human beings. In addition, design shows detail of its flow with outcomes of past leading trend which was re-created shape. On the other hand, undeveloped cultures such as folk, historical, and unique cultures attract design leaders as it is. This research would make good relationship between designers and customers regarding the newly started international trend of design. Hereby I research with the method to reclassify the image of vocabulary from the image scale extract. It remains as a task to resolve ambiguous, complex and neutral expression for better understanding and definite analysis method to the public.

• International Journal of Knowledge Content Development & Technology
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• 제4권1호
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• pp.39-51
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• 2014

The paper proposes that the Basic Concepts Classification (BCC) could serve as the controlled vocabulary for the Semantic Web. The BCC uses a synthetic approach among classes of things, relators, and properties. These are precisely the sort of concepts required by RDF triples. The BCC also addresses some of the syntactic needs of the Semantic Web. Others could be added to the BCC in a bottom-up process that carefully evaluates the costs, benefits, and best format for each rule considered.

• ETRI Journal
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• 제43권3호
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• pp.549-560
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• 2021

Cyberattacks are often difficult to identify with traditional signature-based detection, because attackers continually find ways to bypass the detection methods. Therefore, researchers have introduced artificial intelligence (AI) technology for cybersecurity analysis to detect malicious PowerShell scripts. In this paper, we propose a feature optimization technique for AI-based approaches to enhance the accuracy of malicious PowerShell script detection. We statically analyze the PowerShell script and preprocess it with a method based on the tokens and abstract syntax tree (AST) for feature selection. Here, tokens and AST represent the vocabulary and structure of the PowerShell script, respectively. Performance evaluations with optimized features yield detection rates of 98% in both machine learning (ML) and deep learning (DL) experiments. Among them, the ML model with the 3-gram of selected five tokens and the DL model with experiments based on the AST 3-gram deliver the best performance.

• 한국실내디자인학회논문집
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• 제21권1호
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• pp.220-227
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• 2012

After The Ramsar Convention took place in Korea in 2008, public interest in environment heightened, and the government has been allocating its budget for conserving our environment. Therefore, the present study focuses on eco-friendly spatial images particularly shown in ecological museums in Korea which recognizes the value of the environment and the ecology and tries to both protect them and alert people about it. The purpose of this study is proving what consist of eco-friendly spatial images by analyzing the expressive word of eco-friendly images and the image of space, providing a basic data for future space planning of ecological museums. To do this, the present study proceeds in three steps. First of all, the base of research in analyzing stage is firmly established by grasping general theories and terms regarding spatial image. As a second step, the composition and the characteristics of exhibition is clarified through on-spot investigation to provide comparative data for spatial image assessment in the future. Also through this step, we could understand how the exhibits are designed currently. In the last stage of research, expressive words regarding eco-friendly spatial images are extracted and used to analyze the spatial image of ecological museums. And the following three conclusions is deduced. First, the expressive words of eco-friendly spatial image that are extracted are as following: "healthy", "coexisting", "clean", "blending", "warm", "soft", "lively", "pure", "cool", "fresh ", "comfortable", "relaxed", "mild", "free", "harmonious", and "healing". As the second conclusion, color, and material, the formation which is an architectural factor did not have a great impact on forming eco-friendly image, but the color and the material did. The third conclusion was that the display with natural aspects actively utilized increased eco-friendly spatial image.