• Journal of Digital Convergence
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• v.20 no.3
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• pp.447-457
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• 2022

Form design for information registration should consider and classify various possible cases and each user case and reflect it in the design. In this paper, I analyzed the visual and emotional factors of information design that elicit positive emotions from the user experience point of view, focusing on the birth certificate of among other public documents issued by the government. In order to derive problems and supplements from the user's overall writing experience point of view, Keller's Motivational Behavior Construction Model was used. The process of writing the birth registration form creates recognition, reasoning, relationship, establishment, achievement, expectation. In order to more actively draw an emotional point of view, it is essential to set of information and to materialize the information experience. It is hoped that this will be a good guideline in the process of presenting a new perspective on information design and improving the experience.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.1
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• pp.265-276
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• 2017

Korean petroglyphs have been found over a lot of ruins through nation-wide regions including Daegok-ri Bangudae and Cheonjeon-ri in Ulsan. In this paper, we present an information system for Korean petroglyph ruins named KPetro which supports the dedicated camera application and the timeline service. The system provides the services for searching and updating information in various ways over the primary database constructed with the data on petroglyph ruins, which are collected by the Bangudae Petroglyph Institute. In addition, through the camera application developed for the system, users can easily add photos to the appropriate petroglyph ruin according to the GPS information of the location where those photos are taken. Also, the system provides the timeline service showing the photos for a specific petroglyph ruins in order of shooting time. To support both mobile and desktop environments, KPetro provides its functions in a web browser using the HTML5 standard technology and the JavaScript language, enabling the system to be adaptable to various user devices and extendable for its functionalities.

• Design Convergence Study
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• v.16 no.5
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• pp.203-217
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• 2017

This study proposes and demonstrates the value of user - centered design methodology based on linguistic analysis. The results of the proposed user behavioural analysis framework suggested that the syntactic structure between the sentence structure and its components could be a logical basis for explaining the user's situation and behavior. Based on this, the definitions and classifications of user interactions and user contexts were conducted in a microscopically context. User behavior has also been established to identify pattern structures of purposeful nature and constitutes a user behavior sequence that prioritizes them. Next, the User Experience Analysis Framework was derived by defining the relationship between User Behavior and User Behavior and User Context and User Context. To verify the framework of the framework, a professional assessment was conducted to conduct a review of the user's experience and conduct a study of the framework of the framework and conduct of the framework of the framework of the framework and practical utility of the framework. Through this, it was possible to identify the value of the qualitative and quantitative framework of the framework and the future direction of development.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.411-414
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• 2021

One of the elements of technology that has become extremely critical within the field of education today is Deep learning. It has been especially used in the area of natural language processing, with some word-representation vectors playing a critical role. However, some of the low-resource languages, such as Swahili, which is spoken in East and Central Africa, do not fall into this category. Natural Language Processing is a field of artificial intelligence where systems and computational algorithms are built that can automatically understand, analyze, manipulate, and potentially generate human language. After coming to discover that some African languages fail to have a proper representation within language processing, even going so far as to describe them as lower resource languages because of inadequate data for NLP, we decided to study the Swahili language. As it stands currently, language modeling using neural networks requires adequate data to guarantee quality word representation, which is important for natural language processing (NLP) tasks. Most African languages have no data for such processing. The main aim of this project is to recognize and focus on the classification of words in English, Swahili, and Korean with a particular emphasis on the low-resource Swahili language. Finally, we are going to create our own dataset and reprocess the data using Python Script, formulate the syllabic alphabet, and finally develop an English, Swahili, and Korean word analogy dataset.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.110-110
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• 2022

본 연구는 자율운항 선박의 원격 고장 진단 기법 개발의 일부로 수행되었다. 특히, 엔진 연료 계통 장비로부터 계측된 시계열 데이터로부터 상태 진단을 위한 알고리즘 구현 결과를 제시하였다. 엔진 연료 펌프와 청정기를 가진 육상 실험 장비로부터 진동 시계열 데이터 계측하였으며, 이상 감지, 고장 분류 및 고장 예측이 가능한 심층 학습(Deep Learning) 및 기계 학습(Machine Learning) 알고리즘을 구현하였다. 육상 실험 장비에 고장 유형 별로 인위적인 고장을 발생시켜 특징적인 진동 신호를 계측하여, 인공 지능 학습에 이용하였다. 계측된 신호 데이터는 선행 발생한 사건의 신호가 후행 사건에 영향을 미치는 특성을 가지고 있으므로, 시계열에 내포된 고장 상태는 시간 간의 선후 종속성을 반영할 수 있는 학습 알고리즘을 제시하였다. 고장 사건의 시간 종속성을 반영할 수 있도록 순환(Recurrent) 계열의 RNN(Recurrent Neural Networks), LSTM(Long Short-Term Memory models)의 모델과 합성곱 연산 (Convolution Neural Network)을 기반으로 하는 Conv1D 모델을 적용하여 예측 정확성을 비교하였다. 특히, 합성곱 계열의 RNN LSTM 모델이 고차원의 순차적 자연어 언어 처리에 장점을 보이는 모델임을 착안하여, 신호의 시간 종속성을 학습에 반영할 수 있는 합성곱 계열의 Conv1 알고리즘을 고장 예측에 사용하였다. 또한 기계 학습 모델의 효율성을 감안하여 XGBoost를 추가로 적용하여 고장 예측을 시도하였다. 최종적으로 연료 펌프와 청정기의 진동 신호로부터 Conv1D 모델과 XGBoost 모델의 고장 예측 성능 결과를 비교하였다

• Smart Media Journal
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• v.12 no.9
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• pp.19-27
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• 2023

Since morphemes are the smallest unit of meaning in Korean, it is necessary to develop an accurate morphemes analyzer to improve the performance of the Korean language model. However, most existing analyzers present morpheme analysis results by learning word unit tokens as input values. However, since Korean words are consist of postpositions and affixes that are attached to the root, even if they have the same root, the meaning tends to change due to the postpositions or affixes. Therefore, learning morphemes using word unit tokens can lead to misclassification of postposition or affixes. In this paper, we use morpheme-level tokens to grasp the inherent meaning in Korean sentences and propose a morpheme analyzer based on a sequence generation method using Transformer. In addition, a user dictionary is constructed based on corpus data to solve the out - of-vocabulary problem. During the experiment, the morpheme and morpheme tags printed by each morpheme analyzer were compared with the correct answer data, and the experiment proved that the morpheme analyzer presented in this paper performed better than the existing morpheme analyzer.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.659-666
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• 2024

Germaine Tailleferre is the only woman composer among the French group of six composers known as "Les Six." In her 70-year career, she has left behind numerous chamber music pieces for the piano. Although her chamber music works constitute a significant portion of her overall compositions, research focusing on her piano chamber music pieces is lacking. Therefore, this study introduces a comprehensive list of Tailleferre's chamber music pieces and categorizes each piece according to its performing level of difficulty. Additionally, through a detailed analysis of her <Sonata for Two Pianos>, composed in 1974, this study aims to understand her musical style and artistic world, particularly regarding form, harmony, and melody. <Sonata for Two Pianos>, rooted in the unpretentious and light musical language characteristic of the salon style popular in Parisian cafes and music halls at the time, can be seen as a multi-layered work reflecting various musical languages such as Impressionism, and Neo-classicism. This study may contribute to a better understanding of Tailleferre's musical world and aid in discovering and expanding new literature on 20th-century piano chamber music.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.7 no.1
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• pp.34-43
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• 1996

In adolescence, the symptoms of depression are more various and different from those of adult. Conduct behaviours are frequently represented in adolescent's depression. The patients who have the depression and conduct disorder are defined as depressive condor disorder in ICD-10. We hypothesized that there might be different parental rearing patterns between the patients with depression alone and the depressive conduct disorder. We applied children's depression inventory (CDI), parental rating form for conduct disorder based on DSM-III-R, and parental bonding instrument (PBI) to patients and normal control adolescent group. The results were as follows : 1) There were no significant differences in severity of depressive symptoms, maternal care, maternal overprotection, and paternal care. 2) Paternal overprotection showed significant higher scores in depressive conduct disorder group than depression group and normal control group. 3) There were positive correlations in the severity of depressive symptoms and behavior problems in all subjects. 4) There were no correlations in maternal care and overprotecion with conduct problems, but with depressive symptoms in all subject. 4) There were no correlations in paternal care with conduct problems and depressive symptoms in all subjects. 5) There were significant correlations in patienral overprotective, intrusive attitudes with conduct problems, not with depressive symptoms in all subjects.

• Cartoon and Animation Studies
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• s.36
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• pp.189-215
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• 2014

Since the launching of in 1963, a large amount of outstanding cartoons had been produced in China by the year 1980. During this period of time, international reputation was achieved with the extremely full expression and characteristic stories originated from Chinese culture. Decades of cartoons were produced ever year benefiting from support of the government in the last years. However, the quality and in fluence power dropped down comparing with the increasing productivity. The outward followed by examples of successful international box office most of the animation made in China. These cartoons did not obtain admitting internationally, or disclose any traditional speciality of China, although the domestic box office is considered to be fairly successful. The key factors to the successful cases should be analysed and researched rather than simply estimating, in order to achieve both artistic and commercial success. Factor of humor, as a key element of a successful cartoon is proposed in this thesis. Prior to the discussion, a general definition of humor factor is described through Henri Bergson's comedy concept, based on which the key factors of humor will be analysed. A classification system would be derived and introduced as a tool for the analysis of humor factors. According to Henri Bergson, Humor is determined by circumstance, language and character factors. Humor factors are divided into visual, scene and acoustic factors in this research taking the Speciality of cartoon media into consideration. It is the speciality that, in addition to the visual and language factors, multiple acoustic elements are also introduced in such a presentation pattern. This classification system would be considerably applicable to the analysis of humor factors in Chinese cartoons. In this study, around the year 2000 to share the Chinese animation masterpiece were analyzed by selecting and , and . This discussion about key factors of humor is likely to be beneficial to the development of Chinese Cartoons in the future.

• Journal of The Korean Association For Science Education
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• v.35 no.2
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• pp.247-258
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• 2015

Students are engaged in classroom learning, and classroom learning occurs not only through conversation but also through nonverbal behavior. In science classrooms especially, there are meaningful nonverbal behaviors such as practical activities like observation and measurement. But these behaviors have not been properly investigated by existing instruments that try to measure students' engagement. This study aims to develop a new instrument for analyzing students' behavioral engagement especially in science classrooms. The method of developing the instrument was structured along three steps. First, student behaviors have been classified into fourteen categories through literature review and a series of observation of elementary science classroom. Second, based on these, a framework for analyzing student behavioral engagement has been developed. With the framework, every student moment could be labeled as Participatory Speech or Participatory Silence or Non-Participatory Speech or Non-Participatory Silence. Third, an instrument to which the framework is applied has been developed by using Microsoft Excel. As a trial, two fourth-grade students in elementary science class were analyzed with this instrument. The results of the trial analysis shows that the longest period of a science lesson was occupied by Participatory Silence (63% and 72%). Among the participatory silence, 'listening' was the most common (51% and 42% of the trial lesson) and 'observing' which is a specific behavior to science was the fourth position (17% and 17% of the trial lesson). It is expected that the developed instrument could be used in improving our understanding of the patterns of student engagement in science classrooms.