• 교육시설 논문지
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• 제23권1호
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• pp.3-12
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• 2016

This thesis examines the shape, organization, background, and significance of the classroom space in highly appraised elementary schools since the inauguration of public education in modern times in the fields of education or architecture. This thesis acknowledges that classroom shapes comprise an auditorium-like space for a large-scale study group, a square-shaped classroom designed for simultaneous teaching for single class, and bent and L-shaped classrooms for various learning activities. Whereas the square-shaped classroom for simultaneous teaching which has lasted until now evolved around 1870, the post-1930s era witnessed the emergence of a composition in which classroom and outside space are associated, of an atypical classroom, and of Functional Unit where common space and classrooms are assembled. It is deemed that the emergence of the atypical classroom comes from the reinterpretation of learning and space pursuant to progressive pedagogical philosophy and child development theories and functional architecture theories. Thus, this thesis verifies that school construction and learning space can be newly created and the synthesis between education, child development studies, and architecture is a prerequisite to such a creation.

• 한국멀티미디어학회논문지
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• 제21권5호
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• pp.626-637
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• 2018

Human exchanges information not only through words, but also through body gesture or hand gesture. And they can be used to build effective interfaces in mobile, virtual reality, and augmented reality. The past 2D gesture recognition research had information loss caused by projecting 3D information in 2D. Since the recognition of the gesture in 3D is higher than 2D space in terms of recognition range, the complexity of gesture recognition increases. In this paper, we proposed a real-time gesture recognition deep learning model and application in 3D space using deep learning technique. First, in order to recognize the gesture in the 3D space, the data collection is performed using the unity game engine to construct and acquire data. Second, input vector normalization for learning 3D gesture recognition model is processed based on deep learning. Thirdly, the SELU(Scaled Exponential Linear Unit) function is applied to the neural network's active function for faster learning and better recognition performance. The proposed system is expected to be applicable to various fields such as rehabilitation cares, game applications, and virtual reality.

• 교육시설
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• 제16권3호
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• pp.49-58
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• 2009

This study is carried out to understand application type and change of learning space and to find out actual situation of management in open planned elementary schools. The twelve elementary schools were selected based on case studies and fundamental data of the agencies performing basic plan, the actual situation of management was studied by interviews of principals and teachers. By the results, open planned elementary schools have been notably reduced after the year of 2004 and corridor expending type was broadly chosen as a plane type for open space. It was also shown that learning space was transformed to the independent type integrating open space to the unit classroom in most part of twelve cases. In addition, whole sliding doors fixed in open classrooms by some Provincial Office of Education didn't need certain physical shut-offs, and it was considered as one of useful alternatives to manage open space.

• 스마트미디어저널
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• 제8권2호
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• pp.74-79
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• 2019

기존의 복합명사 분해 알고리즘은 미등록어 단위명사들이 포함된 복합명사를 분해할 때 미등록어를 분리하기 어려운 문제가 발생한다. 이는 현실적으로 모든 고유명사, 신조어, 외래어 등의 모든 단위 명사를 사전에 등록하는 것은 불가능하다는 한계가 존재하기 때문이다. 이 문제를 해결하기 위하여 복합명사 분해 문제를 태그 열 부착(sequence labeling) 문제로 정의하고 음절 단위 임베딩과 딥러닝 기법을 이용하는 복합명사 분해 방법을 제안한다. 단위명사 사전을 구축하지 않고 미등록 단위명사를 인식하기 위하여 복합명사를 구성하는 각 음절들을 연속적인 벡터 공간에 표현하여 LSTM과 선형체인(linear-chain) CRF를 이용하는 방식으로 복합명사를 단위명사들로 분해한다.

• 교육시설 논문지
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• 제26권5호
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• pp.17-23
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• 2019

The classroom is a learning space where students live mainly in school, and it is the most important space within the entire educational space of the school. Although our educational system has been trying to revise and change the curriculum many times, it still does not provide space for the educational concept of modern society. The impact of the abolished 'school facility standard design' in 1992 is still evident in the design of school facilities at present. Specifically, the uniformity of the educational space, the rigid boundary of the classroom unit, the blockage between the school facility and the outside, and the separation due to the break of the inner and outer spaces. In the future, we need a flexible space that can contain the contents of the future education, and it is necessary to study the composition and type of educational space that can escape uniformity and spatial breakdown. In this paper, we analyze the successful cases of Irvine school facilities and examine the type and composition of classroom space, and it will be a task to find the direction and change of thinking about our educational space.

• Journal of Multimedia Information System
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• 제9권2호
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• pp.93-102
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• 2022

Dependency parsing is a decision problem of the syntactic relation between words in a sentence. Recently, deep learning models are used for dependency parsing based on the word representations in a continuous vector space. However, it causes a mislabeled tagging problem for the proper nouns that rarely appear in the training corpus because it is difficult to express out-of-vocabulary (OOV) words in a continuous vector space. To solve the OOV problem in dependency parsing, we explored the proper noun embedding method according to the embedding unit. Before representing words in a continuous vector space, we replace the proper nouns with a special token and train them for the contextual features by using the multi-layer bidirectional LSTM. Two models of the syllable-based and morpheme-based unit are proposed for proper noun embedding and the performance of the dependency parsing is more improved in the ensemble model than each syllable and morpheme embedding model. The experimental results showed that our ensemble model improved 1.69%p in UAS and 2.17%p in LAS than the same arc-eager approach-based Malt parser.

• 한국정보과학회논문지:소프트웨어및응용
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• 제29권9호
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• pp.654-668
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• 2002

In this paper, we present an empirical study for improving the Korean text chunking based on machine learning and feature set selection approaches. We focus on two issues: the problem of selecting feature set for Korean chunking, and the problem of alleviating the data sparseness. To select a proper feature set, we use a heuristic method of searching through the space of feature sets using the estimated performance from a machine learning algorithm as a measure of "incremental usefulness" of a particular feature set. Besides, for smoothing the data sparseness, we suggest a method of using a general part-of-speech tag set and selective lexical information under the consideration of Korean language characteristics. Experimental results showed that chunk tags and lexical information within a given context window are important features and spacing unit information is less important than others, which are independent on the machine teaming techniques. Furthermore, using the selective lexical information gives not only a smoothing effect but also the reduction of the feature space than using all of lexical information. Korean text chunking based on the memory-based learning and the decision tree learning with the selected feature space showed the performance of precision/recall of 90.99%/92.52%, and 93.39%/93.41% respectively.

• 한국인터넷방송통신학회논문지
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• 제13권6호
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• pp.229-235
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• 2013

본 논문은 각종 센서와 관리자 등을 통해 온도와 조도를 측정하여 전력량을 모니터링하며 제어하고 있는 공장용 에너지관리시스템(FEMS, Factory Energy Management System), 빌딩용 에너지관리시스템(BEMS, Building Energy Management System), 주택용 에너지관리시스템(HEMS, Home Energy Management System)등으로 크게 나누어지는 기존의 에너지관리시스템(EMS : Energy Management System)에서 사용하고 있는 각종 센서 정보들을 포함한 수집 가능한 빅 데이터를 활용하여 본 논문에서 제안하는 공간 기반 에너지관리시스템(SEMS, Space-based Energy Management System)의 추론엔진을 통해 일정한 크기와 유사한 특성을 가진 단위 공간을 정의하고 에너지를 효율적으로 관리하기 위한 공간의 크기나 특성에 따라서 SEMS의 추론엔진의 Self-Learning을 통해 추론엔진 자신이 학습을 통해 점차 스마트하게 진화하면서, 사용되는 전력량을 절감하는 방안을 제시하고자 한다.

• 정보교육학회논문지
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• 제3권2호
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• pp.113-119
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• 2000

I studied a distance education model for English learning on the Internet. Basic WWW files, that contain courseware, are constructed with HTML, and functions, which are required in learning, are implemented with Java. Students and educators can access the preferred unit composed of the appropriate text, voice and image data by using a WWW browser at any time. The education system supports the automatic generation facility of English problems to practice reading and writing by making good use of the courseware data or various English text resources located on the Internet. Our system has functions to manage and control the flow of distance learning and to offer interaction between students and the system in a distributed environment. Educators can manage students' learning and can immediately be aware of who is attending and who is quitting the lesson in virtual space. Also, students and educators in different places can communicate and discuss a topic through the server. I implemented these functions, which are required in a client/server environment of distance education, with the use of Java. The URL for this system is "http://park.taegu-e.ac.kr" in the name of GAIA.

• 한국실내디자인학회논문집
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• 제12호
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• pp.33-39
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• 1997

The educational system of Korean elementary schools switches eventually from that of cramming to open study emphasizing student's autonomy and attaching importance to their individuality. Therefore, the purpose of this study is to establish renovational course for conventional classes to practise open education proper to Korean situations at a minimum of expense and time. And the consequence of this study can be summarized as follows : 1) To prepare for various learning activities, a multipurpose space that can be shared by three or four classes is required. 2) Partitions that have divided the existing spaces of unit study must be removed and substituted to a movable partition to make the class variable according to the form of study.