• 한국주거학회:학술대회논문집
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• 한국주거학회 2002년도 추계학술발표대회
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• pp.321-326
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• 2002

To design mechanical ventilation for bathroom of apartment houses where air supply and exhaust are taken Into consideration, mock-ups of ventilation systems, widely used in bathroom of apartment houses with an area of 100$m^2$, were made and installed in a laboratory, These ventilation mock-ups were available for control of air supply and exhaust, and the size of supply openings were 40cm$\times$1cm, 40cm$\times$3cm, 40cm$\times$5cm. They were installed at five positions, spaced 40cm at a height of 25cm from the floor. and the position of exhaust fans were four corners and center Exhaust fan established each one on corner of the ceiling and one in center. As result that measure ventilation effect by each condition, size of hole that supply air is big, and ventilation effect took effect to be good establishment location is low, Also, distance of exhaust fan is far with hole that supply air, ventilation effect took effect by superior thing.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.529-532
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• 2019

이 논문은 사람의 성격과 나이, 직업, 결혼 유무, 최종학력, 전공, 종교, 월수입, 통근 수단 등 총 14가지로 이루어진 사람의 특징 데이터와 자주 방문하는 선호 장소에 대한 데이터의 상관관계를 분석하고, 어떠한 요인이 가장 크게 영향을 미치는가에 대해 분석하였다. 분석에는 17명의 실험자가 참여하였고, 분석 방법으로는 Boosting 기법을 사용하였다. 성격 데이터는 Big Five Inventory (BFI)를 통해 얻었고, 나머지 특징들에 대한 데이터는 직접 만든 설문지를 통해 얻었으며, 장소 데이터는 Swarm 애플리케이션을 통해 얻었다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.535-538
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• 2019

기존에는 Big Five Factor (BFF)를 이용하여 사람의 성격과 방문하는 장소 간의 관계를 분석하는 연구들이 많이 진행되었다. 본 연구에서는 성격뿐 아니라 sns 사용, 취미, 성별, 나이, 종교 등 다양한 요인을 추가하여 방문하는 장소에 영향을 미치는 요인을 찾고자 한다. 성격 데이터는 BFF 설문지로, 그 외 요인들은 본 연구팀이 직접 만든 설문지로 수집하였다. 방문하는 장소는 스마트폰 애플리케이션 SWARM을 이용하여 수집한 뒤 카테고리별로 분류하여 사용하였다. 총 17명의 참가자들이 약 3달간 모은 데이터를 사용하였다. 분석에는 앙상블 기법인 랜덤 포레스트를 사용하였다.

• Earthquakes and Structures
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• 제17권4호
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• pp.355-363
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• 2019

Masonry structures in the rural areas of Turkey often damaged due to moderate and big earthquakes. After every earthquake many scientists made field investigations on the earthquake performance of these structures and gave many useful information on construction techniques. However, the newly constructed masonry buildings are still not suitable for the suggested techniques, and they are still in danger against future earthquakes. Five moderate earthquakes of moment magnitude Mw 5.3, 5.3, 5.2, 5.0, and 5.3 struck the Ayvacik-Çanakkale District of Turkey between 6 and 12 February, 2017. More than a thousand of aftershocks were occurred and most of the masonry buildings in the villages nearby main shock epicenter were affected. The author went to the earthquake field and investigated the earthquake performances of masonry structures. This paper presents the recorded acceleration data, acceleration response spectra, and the seismological aspects of these earthquakes. Besides, case studies of damaged stone masonry buildings, and failure mechanisms are discussed with illustrated photos which were taken during the field investigations. It is concluded that the damaged masonry buildings were not designed and constructed properly in accordance with the Turkish building codes or similar specifications.

• 산업융합연구
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• 제2권1호
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• pp.187-216
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• 2004

After Asian financial crisis hit the Korea, Korean government and Korean firms need to restructure their system. Specially financial sector has to renew its system. One way renew its system was adjust company's labor system. The forms of labor adjustment are external numerical flexibility, externalization, internal numerical flexibility, functional flexibility and wage flexibility. These five forms based on two big categories which are wage flexibility and employment flexibility. This study only focus on th effect of employment flexibility in financial sector in Korea. Employment flexibilities can be practice as employment adjustment. Also we concentrate on separation and re-accessors to other financial institute after the separation. The result shows that Korean financial sector are in the range of 10.78% and the job destruction rates are about 11.26%. During the period from year 1998 to year 2002, the numbers of accession has down about 30%. The logit statistical analysis for separation shows that demographical variables and the reasons of separation affected separation and reemployment.

• Communications for Statistical Applications and Methods
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• 제27권6호
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• pp.589-602
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• 2020

The development of smart grids has enabled the easy collection of a large amount of power data. There are some common patterns that make it useful to cluster power consumption patterns when analyzing s power big data. In this paper, clustering analysis is based on distance functions for time series and clustering algorithms to discover patterns for power consumption data. In clustering, we use 10 distance measures to find the clusters that consider the characteristics of time series data. A simulation study is done to compare the distance measures for clustering. Cluster validity measures are also calculated and compared such as error rate, similarity index, Dunn index and silhouette values. Real power consumption data are used for clustering, with five distance measures whose performances are better than others in the simulation.

• Journal of information and communication convergence engineering
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• 제18권4호
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• pp.216-221
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• 2020

Artificial intelligence (AI), an essential skill of the Fourth Industrial Revolution, is being actively taught in higher education; however, AI education is only in the preparatory stage in elementary, middle, and high schools. Investigating various newspaper articles related to AI education to date can aid in basic data collection, which is an important process in the preparatory stage. Accordingly, 13,378 newspaper articles were collected from a total of 21 newspapers, and five topics were extracted using the latent Dirichlet allocation (LDA)-based topic model along with frequency analysis. Newspaper articles from the early 2000s expanded to technologies related to the Fourth Industrial Revolution. Accordingly, education in AI fields should be linked with education in AI-based technology. In addition, efforts should be made to secure the continuity and sequence of AI education in cooperation with related higher institutions and companies.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.121-126
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• 2022

Hadoop and Apache Spark are Apache Software Foundation open source projects, and both of them are premier large data analytic tools. Hadoop has led the big data industry for five years. The processing velocity of the Spark can be significantly different, up to 100 times quicker. However, the amount of data handled varies: Hadoop Map Reduce can process data sets that are far bigger than Spark. This article compares the performance of both spark and map and discusses the advantages and disadvantages of both above-noted technologies.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.71-76
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• 2022

The continuous development of virtual reality technology in the last five years has brought about a big change in the future film industry. Interactive VR movies using virtual reality technology in movies showed the result of increasing the immersion of the audience due to the characteristics of interaction. This will provide a unique opportunity for a new experience of immersion in various forms of cinema in the near future. In this paper, the interaction of narrative VR movies was studied as an example of the movie , which won the [The Best VR Experience Award] at the Venice International Film Festival, In future development, improve the scene transition, Dizziness, Ways of interaction and other questions, let the audience increase the sense of participation, immersion and curiosity when watching movies, and make watching movies a more interesting thing in life.

• Asian Journal of Innovation and Policy
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• 제11권2호
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• pp.222-237
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• 2022

As the COVID-19 pandemic crisis left developing countries with economic setbacks, it is high time to highlight that innovative technologies lead the digital economy. The big powers including the United States and China are already implementing industrial policies that involve large-scale fiscal expenditures to secure the lives and safety of their people. To prepare for the future up to 2025, this paper reflects opinions of industry-academia-research experts regarding changes in the external environment and industry trends. By reflecting results of focus group interviews and changes in the external environment and industry trends, a new high-level 5X strategy (Digital Transformation, Energy Transformation, Bio Health Transformation, Supply Chain Transformation, and Research Transformation) to solve national tasks required for the existing ten policy demand fields and ten agenda during lower-level policy implementation stages were derived.