• Journal of KIBIM
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• v.8 no.1
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• pp.43-55
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• 2018

Recently, there have been increasing studies on the application of digital technology, which has its focus of the irregular building. However, most of these studies have not clarified the objective of the technology and the effectiveness of professional manpower on its performance. This study analyzes actual used technology and the role of specialty contractor. It presents a framework to quantify the performance of the specialty contractor. For these purposes, this paper presents a proposed method to evaluate the activities of specialty contractors using a queueing model. As an attempt to verify the model, an actual irregular building project, in which digital fabrication is applied, is investigated during the construction phase. In order to collect the digital fabrication data, digital fabrication reports and specialty contractor's work log of project are reviewed. In addition, Digital Fabrication input personnel, productivity data are collected through interviews with experts involving in the case project. Analysis of specialty contractor's performance in digital fabrication reveals that the wait status of project participants varies probabilistically depending on the digital technology application level. The results of this study are expected to contribute toward the improvement of the production level in the construction industry.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.11a
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• pp.4-5
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• 2019

With recent advances in computer technology, the ratio of free-form building designs to those of the past is increasing gradually. However, the current technology of free-form structure is very low. The core technology for free-form building implementation is the manufacturing technology of FCP (Free-form Concrete Panel), which indicates an unformed outside, and through the development of FCP manufacturing technology, the construction technology of free-form architecture can be enhanced. The inside and outside of an free-form building should be represented by the designer's intended curvature, and the panel's thickness by segment should be constant. For this reason, the technology that keeps the thickness of panels constant during the FCP production process is a key technology that can improve the quality of FCP. In this study, a basic study on ways to maintain a constant thickness of FCP is conducted.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.12-13
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• 2020

Free-form buildings usually have large curved shapes on the outside. In order to construct this curved shape, the exterior of the building must be divided into easy-to-manufacture shapes, and the segmented panel is called the FCP(Free-form Concrete Panel). These FCPs have different shapes and cannot reuse molds. To solve these problems, the researchers developed FCP manufacturing equipment to manufacture a mould of FCP. However, the developed equipment alone cannot completely manufacture FCP's mould. This is because there is no mould to implement side of FCP. Therefore, it is necessary to develop a side form of FCP that can be applied to FCP manufacturing equipment. To this end, this study analyzes the basic requirements that side mould should have before developing side mould.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.194-194
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• 2021

최근 지구온난화 및 이상기후 현상으로 인하여 집중호우의 빈도와 강도가 급증하고 있다. 그리고 급격한 도시화로 불투수 면적이 증가하여 도시지역에 침수피해가 빈번하게 발생하고 있는 실정이다. 이러한 침수피해를 방지하기 위하여 침수위험지구, 재해위험지구를 선정하여 집중호우에 대하여 집중관리를 하고 있지만 위험지구이외의 곳에서 침수가 발생할 경우 신속하게 대처하지 못하는 문제가 발생하고 있다. 또한, 하천이 범람하여 발생하는 외수침수의 경우 수위를 실시간으로 확인할 수 있어 미리 대응이 가능하지만, 내수침수의 경우 지하에 매설되어 있는 관로의 상태를 확인할 수 없기 때문에 순간적으로 발생하는 침수에 대하여 신속하게 대처를 해야 한다. 현재 침수 피해를 신속하게 대처하기 위하여 CCTV를 활용해 침수의 발생여부를 모니터링 하고 있지만 CCTV설치 지역에 비하여 적은 인력으로 모든 CCTV를 확인하지 못하여 침수피해를 신속하게 대처하지 못하고 있는 실정이다. 본 연구에서는 침수사진 자료를 CNN(Convolutional Neural Network)기법을 이용하여 학습시켜 침수의 발생여부를 판단하는 모델을 제안하였다. 딥러닝 기법의 CNN은 이미지의 특징을 추출하여 학습하는 과정을 가지게 되는데 학습이 완료된 모델은 침수사진의 특징을 파악하여 침수가 발생하였는지에 대한 여부를 자동적으로 판단하게 된다. 본 연구결과를 CCTV관재센터 혹은 지자체와의 연계를 통하여 침수의 발생여부를 자동적으로 판단해주는 시스템이 개발된다면 신속한 침수피해 대처가 이루어 질 수 있을 것이라 판단된다.

• Journal of the Korean School Mathematics Society
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• v.12 no.3
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• pp.247-265
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• 2009

In the 21C information-based society, there is an increasing demand for emphasizing communication in mathematics education. Therefore the purpose of this study was to research how properties of communication among small group members varied by mathematical problem types. 8 fourth-graders with different academic achievements in a classroom were divided into two heterogenous small groups, four children in each group, in order to carry out a descriptive and interpretive case study. 4 types of problems were developed in the concepts and the operations of fractions and decimals. Each group solved four types of problems five times, the process of which was recorded and copied by a camcorder for analysis, among with personal and group activity journals and the researcher's observations. The following results have been drawn from this study. First, students showed simple mathematical communication in conceptual or procedural problems which require the low level of cognitive demand. However, they made high participation in mathematical communication for atypical problems. Second, even participation by group members was found for all of types of problems. However, there was active communication in the form of error revision and complementation in atypical problems. Third, natural or receptive agreement types with the mathematical agreement process were mainly found for conceptual or procedural problems. But there were various types of agreement, including receptive, disputable, and refined agreement in atypical problems.

• Korea Science and Art Forum
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• v.20
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• pp.227-241
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• 2015

As time is rapidly changing, the culture to represent an era is getting more subdivided and complex. Due to cultural diversity, the influence, cause, characteristics which could be understood in individual field centered by space in the past cannot be understood now only by the viewpoint of one field, and it has become difficult to predict and correspond to the change of the future. With the development of information and knowledge delivery system, various cultural contents to form a space are being created and lapsed, but there are a lot of parts which cannot be explained or understood by only one point of view. To inspect these situation, this study is aimed to draw the cultural and technical causes that became the influence with Suwon Hwaseong, a traditional space with historical superiority, analyze the key factors that became the main factor to form the space, and consider the importance of the related factors. Suwon Hwaseong is a new town formed by the order of King Jeongjo. Suwon Hwaseong at that time was a space with the will and effort of many people who dreamed a new era, and it has a meaning of varoius time ans space as historical facts and cultural values as well as the progress and development of scientific technology. The unstructured data technique which is applied as the method of analysis in this study can be said to be a new value judgement and viewpoint in interpreting the space. Therefore, this study is a new trial to provide a frame for multilaterally interpreting the various traditional space and culture of Korea from the past to the present.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.143-144
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• 2016

빅 데이터 분석은 기존 데이터베이스 관리 도구로부터 데이터를 수집, 저장, 관리, 분석할 수 있는 역량을 말한다. 또한, 대량의 정형 또는 비정형 데이터 집합으로부터 가치를 추출하고 결과를 분석하는 기술을 의미한다. 대부분의 빅 데이터 분석 기술 방법들은 기존 통계학과 전산학에서 사용되던 데이터 마이닝, 기계 학습, 자연 언어 처리, 패턴 인식 등이 해당된다. 글로벌 리서치 기관들은 빅 데이터를 2011년 이래로 최근 가장 주목받는 신기술로 지목해오고 있다. 따라서 대부분의 산업에서 기업들은 빅 데이터의 적용을 통해 가치 창출을 위한 노력을 기하고 있다. 본 연구에서는 다음 커뮤니케이션의 빅 데이터 분석도구인 소셜 매트릭스를 활용하여 키워드 분석을 통해 창조경제 키워드 의미를 분석하고자 한다. 또한, 분석결과를 바탕으로 이론적 실무적 시사점을 제시하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.124-125
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• 2016

빅데이터 분석은 기존 데이터베이스 관리 도구로부터 데이터를 수집, 저장, 관리, 분석할 수 있는 역량을 말한다. 또한 대량의 정형 또는 비정형 데이터 집합으로부터 가치를 추출하고 결과를 분석하는 기술을 의미한다. 대부분의 빅데이터 분석 기술 방법들은 기존 통계학과 전산학에서 사용되던 데이터 마이닝, 기계 학습, 자연 언어 처리, 패턴 인식 등이 해당된다. 글로벌 리서치 기관들은 빅데이터를 2011년 이래로 최근 가장 주목받는 신기술로 지목해오고 있다. 따라서 대부분의 산업에서 기업들은 빅데이터의 적용을 통해 가치 창출을 위한 노력을 기울이고 있다. 본 연구에서는 다음 커뮤니케이션의 빅데이터 분석도구인 소셜 매트릭스를 활용하여 키워드 분석을 통해 콜라겐 키워드에 대한 의미를 분석하고자 한다. 또한 분석결과를 바탕으로 실무적 시사점을 제시하고자 한다.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.311-321
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• 2020

The purpose of the study is to verify the effectiveness the Freshman Preliminary Health Administrators(FPHA)' Empathic Problem Solving Ability(EPSA) through the application of Medical Service Design Thinking(MSDT) conducted by undergraduate school of SNS hospital marketing education. The pre-post questionnaire survey was conducted on 39 students in the freshman year of the Department of Health Administration after applying MSDT for 15 weeks from September to December, 2019 at a college in Daegu. MSDT was positive influenced on the improvement of Empathic Imagine, Empathic interest, Empathic awakening of the FPHA' EPSA. In the analysis of key common words, the use of neutral and negative words was low, while the use of positive words was high. In order to systematically equip Empathic problem solving job competency in the age of artificial intelligence, it is meaningful to develop a program for the freshmen curriculum and to conduct a analysis of the structured and unstructured data to verify its effectiveness. Additional program development research is needed for the application of theoretical subjects.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.2
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• pp.493-504
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• 2017

Recently, tremendous amounts of unstructured text data that is distributed through news, blogs, and social media has gained much attention from many researchers and practitioners as this data contains abundant information about various consumers' opinions. However, as the usefulness of text data is increasing, more and more attempts to gain profits by distorting text data maliciously or nonmaliciously are also increasing. This increase in spam text data not only burdens users who want to obtain useful information with a large amount of inappropriate information, but also damages the reliability of information and information providers. Therefore, efforts must be made to improve the reliability of information and the quality of analysis results by detecting and removing spam data in advance. For this purpose, many studies to detect spam have been actively conducted in areas such as opinion spam detection, spam e-mail detection, and web spam detection. In this study, we introduce core concepts and current research trends of spam detection and propose a methodology to detect the spam tag of a blog as one of the challenging attempts to improve the reliability of blog information.