• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.203-212
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• 2019

Along with the recent fourth industrial revolution, the world's manufacturing powerhouses are pushing for national strategies to revive the sluggish manufacturing industry. Moon Jae-in, the government is in accordance with the trend, called 'advancement of science and technology is leading the fourth round of the Industrial Revolution' strategy. Intelligent information technology such as IoT, Cloud, Big Data, Mobile, and AI, which are key technologies that lead the fourth industrial revolution, is promoting the emergence of new industries such as robots and 3D printing and the smarting of existing major manufacturing industries. Advances in technologies such as smart factories have enabled IoT-based sensing technology to measure various data that could not be collected before, and data generated by each process has also exploded. Thus, this paper uses data generators to generate virtual data that can occur in smart factories, and uses them to analyze the cause of the defect in real time and to predict the replacement cycle of the facility.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.109-117
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• 2017

This study aims to identify the effect for exercise intensity on hypertension using propensity score based on the sixth Korea National Health and Nutrition Examination Survey data and to provide an evidence for the most effective exercise intensity for prevention or treatment of hypertension. Specifically, we select 3,486 subjects who aged between 18 and 65 years after excluding some subjects who are expected to have limited athletic ability. We estimate propensity scores for exercise intensity based on the confounders such as sex, age, smoking, drinking, and natrium intake. Considering the complex survey design, we conduct a descriptive analysis and multiple logistic regression for hypertension with propensity score as a covariate. Although the results of the study did not show statistically significant relationship between exercise intensity and hypertension, we expect that it can be used as a basis evidence that the appropriate exercise of moderate intensity may be more effective for the prevention and treatment of hypertension rather than strong intensity exercise and non-exercise.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.435-442
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• 2014

This study investigated many factors which had to be considered importantly in space planning for the cultural contents exhibition hall on the basis of establishment cases at this time that cultural contents were considered very importantly in the national economy. It must be a priority to set up the concept of the exhibition space which can encompass exhibition spaces, exhibits, the approach to experience exhibitions and others for the effective planning for exhibition spaces showing cultural contents. Visitors' moving lines should be planned based on that concept setting. It is necessary to reflect human attributes that people detect environmental information and perceive the environment through their sensory organs and plan moving lines considering visitors' cognitive, emotional and psychological factors which they can feel according to the temporal order. In addition, this study led visitors to respond exhibits through their five senses and increased the effects that visitors appreciated exhibition spaces, actively getting out of the way that visitors experienced exhibitions, which might be limited to sight. This study will be able to provide specific space planning methods related to the establishment of cultural industry-based professional exhibition halls which have been increased day by day at this time that culture-based industries are considered to be important. Moreover, it will be helpful in reducing the trial and effort factor in the exhibition hall establishment project.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.18 no.2
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• pp.111-120
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• 2000

Water, waste, electric and gas facilities are urban based facilities that needed in our life and are often located in underground. Therefore, underground facilities are more difficult to manage efficiently than ground facilities. It is needed to carry out survey/probe into underground facilities and to build database in order to prevent city-misfortunes being occurred because of negligent management and in order to minimize budget-waste and a traffic jam according to repetition of road excavation constructions. Also, the development of application system is required to manage efficiently underground facility. Chonju city has launched underground water supply facility computerizing project as a part of National Geographic Information System project until December 1998 and executed survey/probe into 402.89 km water supply that is 80 mm up inside central town area 39.6 $km^2$. Also, chonju city built database into 537 km water supply that is 80 mm below based on water supply card without other survey/probe works. Also, existing work process each department is changed into GIS applied work process and underground water supply facility management system is developed by its work process basis. Water supply underground facility management system that is developed is composed of sub-system like base-map management, water supply inspect, water supply management and water supply inquiry, construction work management, administration management and map management. This research presents the procedure and method of underground water supply facility survey/probe and problem being occurred during survey/probe procedure and also show the functions of each sub-systems composing underground water supply facility management system.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.25 no.3
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• pp.239-247
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• 2007

The 3D spatial information projects have been processed and utilized in varied fields. However, the research of the 3D digital map for a role of national base map is not enough. The draft maps, which are raw data for generating 2D digital map, shows problems in generating 3D digital map. The objective of this research is to develop 3D digital map editing system for modifying and editing of 3D digital map from 2D vector and raster information such as a draft map, 2D digital map, DEM, aerial photo and so forth. This 3D digital map editing system was designed to include data structure of geometric and attribute object under provision of ISO/TC211 and OGC standard. This system was developed to implement the function of 3D stereo editing based on stereo viewing, 3D view editing based on projective, and 3D spatial operation. Using this system, 3D digital maps were able to be successfully produced from not only existing draft maps but also modified or edited draft maps and then application results were compared and analyzed.

• Journal of the Economic Geographical Society of Korea
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• v.7 no.1
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• pp.45-63
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• 2004

The main purpose of this article is to suggest policy implications for building innovative cluster in Korea by investigating the operating system and role of the Kanagawa Science Park (KSP) located in Kanagawa prefecture, Japan as a central network agent. The KSP established mainly by private and government partnership has played a critical role for building innovative clusters as a way in which increase national competitiveness. But they also provide variety of real service from R&D to commercialization for local firms by facilitating and coordinating networks among regional economic actors such as firms, universities and public research institutes. The regional policy as a way in which increase national competitiveness in Korea is also the establishment of innovative clusters based on regional and industrial characteristics. However, the main problem with building the innovative cluster is the reduction of policy effectiveness due to duplicated supporting and coordinating institutes and institutions established by the each central administration and local governments, aimed at facilitating networks among regional economic actors. In this context, the article suggests that there is a need to build a regional central network agent by designing an organic operating system for the effective management of each network agent in accordance with the process from R&D to commercialization, i.e. an encompassed supporting system, on the basis of benchmarking the KSP operating system in Japan.

• Archives of design research
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• v.18 no.3 s.61
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• pp.55-62
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• 2005

Recently, the opening of the world economy and regional ization of national demand endless endeavors and investments to upbring design-industry for regional economic development. Our domestic commodities, declined in price competitiveness against China and Southeast Asian nations, need construction of brand image of commodities and consumers' response through expanded concernments in marketing spheres. The design-industry is a important means to strengthen competitiveness of the domestic industry through discrimination of commodities and creativity of high added value. Design-industry has some problems in circumstances; commodity development and marketing are below the level in the sphere of manufacture industry yet and businessmen are unwilling to invest demanded for development of new design. Establishment of the personal foundation, useful for accumulating competent designers' experiences and technologies, can not pass limit. In addition, a system and a policy to protect design-industry have a problem in effectiveness. Concrete strategies to activate design industry which meets social and cultural circumstances of Daegu and Gyeongbuk region are to establish policy for construction of specialists' infra, systematization of study & development of design, common ownership of information on design, and expansion of design company. The business to upbring design in the region should be operated to develop competitive commodities which is helpful to the regional economy and to increase value of the regional enterprises' brand. In addition, foundation of design should be expanded personal, material, and informational infra through design-centered so that they are helpful to activate economy of Daegu and Gyeongbuk through making design reformational cluster.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.398-398
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• 2018

OECD 발표에 의하면 물산업 관련 인프라 투자 전망은 전세계 GDP 대비 2010~2020년 약 1.01%에서 2020~2030년 약 1.03%로 확대될 전망으로 다른 통신, 전력, 철도 인프라 투자수요보다 많을 것으로 전망하고 있다(파이넨셜 뉴스, 2013.3.21.). 우리나라는 2005년 베트남 홍강종합개발사업을 시작으로 2015년 기준으로 세계 35개국에 진출하고 있다. 그러나 대부분의 물 산업 진출 대상 국가는 미계측 유역이 많고 지상에서 계측된 수문 자료가 부족한 실정이다. Namgung and Lee(2014)에 의하면 네팔의 수력발전소 건설에 관측된 강우량 자료가 없어 발전소 하류 10km 지점의 유하량 자료를 이용하여 자료의 정확도 검증을 대신하여 적용한 바 있다. 이와 같이 계측자료가 없거나 부족한 지역에 대하여 기상 위성을 이용하여 추정된 강수량 자료가 해당 지역의 강수 특성을 파악하는데 중요한 자료로 이용될 수 있다. 글로벌 위성 기반의 강수량 관측에 대한 역사는 1979년에 IR방법에 의해 위성으로부터 강우자료를 유도하는 개념이 도입된 이후 1987년 다중 채널의 마이크로파(MW) 복사계를 이용한 방법, 이후 두 IR과 MW를 혼합한 방법에서, 1997년 TRMM위성의 PR(Precpipitation Radar)의 레이더를 이용하는 방법, 그리고 2014년 GPM 핵심 위성(GPM Core Observatory)에 탑재된 Dual PR에 의한 방법으로 위성강수의 정확도를 매우 높여가고 있다. 본 연구는 KOICA 사업으로 진행중인 필리핀 메트로 마닐라 홍수조기경보 및 모니터링 체계 구축사업 중 파시그-마라키나강(Pasig-Marakina) 유역의 2012년 8월의 홍수사상에 대한 위성강우 및 글로벌 지형자료를 이용하여 홍수 유출량을 추정하는 것으로 목적으로 하고 있다. 유역내 6개 관측소의 일일 강우량 자료와 GPM IMERG 일강우량 자료 상관분석 결과 약 0.623, Bias는 -0.147, RMSE는 15.7정도로 분석되었다. 홍수량 분석은 2012년 8월 홍수가 발생한 시기인 2012년 8월 1일 00(UTC)부터 2012년 8월 16일 00(UTC)까지의 1시간 간격의 위성강우자료와 글로벌 지형자료를 이용하였고, 한국건설기술연구원의 MapWindow 기반 GRM 모형(mwGRM)을 이용하였다. 분석 결과 첨부홍수가 발생한 시기는 8월 7일 18:00(UTC)였고, 첨두 홍수량은 $4,073.9m^3/sec$로 분석되었다. 향후 수위-유량 관계식에 의해 정확도평가를 수행할 계획이다.

• Korean Journal of Remote Sensing
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• v.37 no.5_2
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• pp.1235-1243
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• 2021

Geostationary Ocean Color Imager 2 (GOCI-II) on Geo-KOMPSAT-2 (GK2B)satellite was developed as a mission successor of GOCI on COMS which had been operated for around 10 years since launch in 2010 to observe and monitor ocean color around Korean peninsula. GOCI-II on GK2B was successfully launched in February of 2020 to continue for detection, monitoring, quantification, and prediction of short/long term changes of coastal ocean environment for marine science research and application purpose. GOCI-II had already finished IAC and IOT including early in-orbit calibration and had been handed over to NOSC (National Ocean Satellite Center) in KHOA (Korea Hydrographic and Oceanographic Agency). Radiometric calibration was periodically conducted using on-board solar calibration system in GOCI-II. The final calibrated gain and offset were applied and validated during IOT. And three video parameter sets for one day and 12 video parameter sets for a year was selected and transferred to NOSC for normal operation. Star measurement-based INR (Image Navigation and Registration) navigation filtering and landmark measurement-based image geometric correction were applied to meet the all INR requirements. The GOCI2 INR software was validated through INR IOT. In this paper, status and results of IOT, radiometric calibration and INR of GOCI-II are analysed and described.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.260-269
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• 2022

In this paper, We propose an anomaly detection model using deep neural network to automate the identification of outliers of the national air pollution measurement network data that is previously performed by experts. We generated training data by analyzing missing values and outliers of weather data provided by the Institute of Environmental Research and based on the BeatGAN model of the unsupervised learning method, we propose a new model by changing the kernel structure, adding the convolutional filter layer and the transposed convolutional filter layer to improve anomaly detection performance. In addition, by utilizing the generative features of the proposed model to implement and apply a retraining algorithm that generates new data and uses it for training, it was confirmed that the proposed model had the highest performance compared to the original BeatGAN models and other unsupervised learning model like Iforest and One Class SVM. Through this study, it was possible to suggest a method to improve the anomaly detection performance of proposed model while avoiding overfitting without additional cost in situations where training data are insufficient due to various factors such as sensor abnormalities and inspections in actual industrial sites.