• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.185-198
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• 2021

Researches using UAVs are being actively conducted in the field of quickly constructing 3D spatial information in small areas. In this study, without using ground control points, a stereo camera was mounted on a UAV to collect images and quickly construct three-dimensional positions through image matching, bundle adjustment, and the determination of a scale factor. Through the experiment, when bundle adjustment was performed using stereo constraints, the root mean square error was 1.475m, and when absolute orientation was performed in consideration of a scale, it was found to be 0.029m. Through this, it was found that when using the data processing method of a UAV equipped with a stereo camera proposed in this study, high-accuracy 3D spatial information can be constructed without using ground control points.

• Journal of the Korea institute for structural maintenance and inspection
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• v.22 no.1
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• pp.137-146
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• 2018

On September 12, 2016, the Gyeongju District was strongly shaken with M=5.8, which was the largest one since measured by the actual seismometer in Korea, and some buildings were damaged. The field survey of reinforced concrete school buildings in the affected area was carried out, and their residual seismic capacities(R) were estimated based on the Japanese Standard for post-earthquake damage evaluation. In this study, the M school, which was greatly damaged by the 2016 Gyeongju Earthquake, was selected, and its damage level was evaluated on the basis of the Japanese Standard. The seismic capacity of the M school was also evaluated using the nonlinear dynamic analysis, and relationships between its damage level and seismic capacity was also conducted to investigate causes of earthquake damage. The damage level of M school was classified into light with R=88.2%. The result of the dynamic analysis agreed reasonably well with the damage of M school sustained by the 2016 Gyeongju earthquake. This will provide fundamental data for earthquake preparedness measures, such as the seismic rehabilitation of low-rise reinforced concrete buildings in Korea.

• Journal of the Korean association of regional geographers
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• v.14 no.4
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• pp.328-346
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• 2008

This study is to examine educational environment in Goryeong-gun and the meaning and limit of educational qualitative improvement which it carries. Goryeong-gun has experienced the natural and social decrease of the number of students. So The number of school has continually decreased and more and more educational environment has been poor. Hence, firstly Goryeong-gun thought qualitative educational improvement of a source of regional development and established its committee for education development. They made funds from local government and community and has invested them with educational improvement and scholarship. Especially, Core educational policies in Groyeong-gun are in establishment of distinguished school, Daegaya public institute, and municipal reading room etc.. This educational policies are gradually taking a positive result and becoming competitive power of this region. But on the other hand new tension and conflict, trouble between local government and schools, difference of educational benefit has appeared through practice of these policies, Therefore, Now the qualitative improvement that is guaranteed educational equability within local community is required as new tasks.

• Korean Journal of Agricultural Science
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• v.36 no.2
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• pp.211-217
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• 2009

Total fatty acid compositions, total content of crude fat, saturated, unsaturated and trans fatty acid content were studied in children's favorite foods such as hot dog, chicken popcorn, fried potato, snack and cookies, and imported biscuit. The samples were obtained from various stores in Daejeon. After fat extraction, methylation was carried out to analyze the fatty acid compositions by gas chromatography. The results showed that content of the trans fatty acid per 100 g of the hot dog, chicken popcorn, fried potato, snack and cookies, and imported biscuit were 0.02~0.03 g, 0.05~0.08 g, 0.02~0.05 g, 0.02~0.27 g, and 0.05~0.83 g, respectively. The highest content of saturated fatty acid (66.24%) was observed in the imported biscuit among the 20 analyzed samples.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.545-550
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• 2007

최근 들어, 모바일 장치의 성능이 향상되고 보급률이 증대됨에 따라 모바일 장치를 그리드 자원으로 이용하기 위한 모바일 그리드가 등장하였다. 그러나 모바일 장치가 가지는 무선기기로써의 제약사항 즉, 무선 통신의 불안정성, 이동으로 인한 연결 끊김 등의 문제와 배터리의 제약은 모바일 그리드를 구성하는데에 많은 어려움을 야기한다. 따라서 본 논문에서는 이러한 제약사항을 극복할 수 있는 환경적인 요소를 고려하여 학교나 회사와 같이 안정적인 무선통신 환경을 제공하고 베터리 충전이 용의한 네트워크 그룹을 가정하였다. 그리고 제한된 성능을 발휘하는 모바일 장치에서 독립적인 소규모 작업의 효율적인 수행을 위해 성능예측 기반 작업 스케줄링 기법을 제시하였다. 이 기법은 네트워크 그룹 내의 모바일 장치의 이용 패턴이 규칙적으로 나타내는 특성을 이용한다. 제안하는 스케줄링 기법에서는 하나의 네트워크 그룹의 성능을 그 그룹에 속한 모바일 장치들의 성능의 합으로 정의하고 시간에 따라 변화하는 모바일 장치들의 성능을 예측하기 위해 기존에 수집된 성능 정보의 통계를 이용한다. 그리고 본 기법은 그리드와 네트워크 그룹, 네트워크 그룹과 모바일 장치 사이의 작업 분배시 예측된 성능 정보를 이용함으로써 네트워크 그룹의 사용률을 높여 전체 작업의 최종 응답시간을 줄일 수 있다.

• Proceedings of the SAREK Conference
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• 2009.06a
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• pp.946-951
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• 2009

The research aims to study a new, optimum and renewable energy application method that can cover the minimum energy and operation costs within a range of school budgets. By deriving the optimum application method, it is expected to maximize the cooling/heating and water heating energy saving efficiencies for educational facilities. Therefore, this research carried out a study on the new/renewable energy utilization technique diffusion expansion method and the optimum method. As a result, the first optimum plan was introduced with the multi-type geothermal heat pump 174kW + solar heat collector $94\;m^2$ + highly efficient electronic cooling/heating device (EHP) 249.4kW. On the other hand, the second optimum plan was induced as the multi-type geothermal heat pump 255.2kW + highly efficient electronic cooling/heating device (EHP) 168.2kW.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10a
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• pp.154-155
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• 2007

무선 공유기란 NAT(Network Address Translation) 기능을 사용하여 여러 무선 사용자가 인터넷회선 하나를 공유할 수 있게 해주는 장치이다. 여러 개의 무선 공유기를 여러 사용자가 공유하여 사용하는 학교 또는 소규모 사무실 환경에서 사용자들은 무선 공유기들을 임의대로 선택하여 사용할 수 있어서 특정 무선 공유기에 사용자들이 몰리는 현상이 발생할 수 있다. 이러한 경우 무선공유기와 사용자들 사이에 부하 불균형의 문제가 발생한다. 그로 인하여 생기는 문제점중 하나는 사용자가 몰리는 무선 공유기에 속하는 사용자들의 경우 서비스가 원활하지 않다는 점이다. 또 다른 문제점은 무선 공유기 전체 자원 이용률이 낮다는 점이다. 이 문제들을 해결하는 방법으로 본 논문에서는 Multiple SSID를 이용하여 무선 공유기의 대역폭 이용률을 극대화하는 부하 공유 기법을 제안한다. 제안된 기법에서는 주기적으로 각 무선 공유기들의 사용 가능한 대역폭 정보를 Multiple SSID를 이용하여 사용자에게 보여준다. 새로운 사용자는 최대 사용가능한 대역폭을 가진 무선 공유기를 선택한다. 이 방법은 사용자와 라우터들 사이에서 대역폭 활용관점에서 좋은 부하 분산을 가능하게 해준다. 제안한 방법을 ASUS WL 500G 무선 공유기를 이용하여 구현하였으며 실험을 수행하였다. 실험을 통해 제안된 방법이 기존 방법에 비해 대역폭 이용률이 향상되었음을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.60-62
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• 2023

인공지능의 학습 작업은 연산량이 많아 고성능 연산 장치인 GPU(Graphics Processing Unit)를 필요로 하며, GPU 장치의 성능은 학습 작업의 실행 성능에 직접적으로 영향을 미치는 요소 중 하나로 작용한다. 인공지능 작업을 처리하기 위해 많이 사용되는 텐서플로의 경우 GPU를 사용해 연산을 수행할 때 기본적으로 거의 모든 GPU 메모리 영역을 단일 학습 작업이 점유하도록 GPU 메모리를 관리한다. 이 방법은 컴퓨팅 자원 중 확장성이 가장 낮은 GPU 메모리의 단편화를 방지하기 위해 사용되는 방법이지만, 하나의 학습 작업이 GPU를 점유하게 되면, 실제 GPU 메모리 사용량과 상관없이 다른 프로세스는 GPU를 사용할 수 없는 문제를 유발한다. 특히, 전이학습, 소규모 학습과 같이 상대적으로 작업 규모가 작은 경우에는 전체 GPU 메모리 용량 중 대부분의 영역이 낭비된다. 본 논문에서는 컨테이너 환경에서 텐서플로의 기본 GPU 메모리 사용 방식으로 인해 다수의 학습 작업을 동시 실행하는 것이 불가능한 문제를 확인하고 GPU 메모리 사용량을 제한한 경우와 하지 않은 경우에 실제 GPU 메모리 사용량과 학습 작업의 실행 시간에 대한 성능 비교를 통해 GPU 메모리의 단편화 방지가 성능에 유의미한 요소인지 검증한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.4
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• pp.46-59
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• 2007

Urban infrastructure is a core of urban growth management which concerns with location, time and costs of development. Despite an inevitable link between development density and infrastructure capacity in urban areas, little study have been performed. For this reason, development activities are undergone without any clear evidence or analysis. The main purposes of this paper are to build subject maps of urban infrastructure capacity which illustrate the level of education service and road capacity, and to give reference standard for development decision at given location. For these purposes, the case study of the high-rise multi-purpose buildings in Daegu metropolitan city is performed. The main findings are follows. First, road ratio is high in the CBD and its surrounding areas as well as rural area, and low in areas of manufacturing, parks and military use. Second, educational facility, represented by the number of student per classroom of elementary school, is fairly abundant across the city, especially in the CBD and rural areas. Third, the high-rise multi-purpose buildings have been built in population-losing infrastructure-abundant areas, in general. Based on these results, this study concludes that the high-rise multi-purpose buildings may induce population-inflow and have low possibility to bring about overly dense developments.

• The Mathematical Education
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• v.62 no.2
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• pp.289-302
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• 2023

In today's digital information society, student knowledge and skills to analyze big data and make informed decisions have become an important goal of school mathematics. Integrating big data statistical projects with digital technologies in high school <Artificial Intelligence> mathematics courses has the potential to provide students with a learning experience of high impact that can develop these essential skills. This paper proposes a set of guidelines for designing effective big data statistical project-based tasks and evaluates the tasks in the artificial intelligence mathematics textbook against these criteria. The proposed guidelines recommend that projects should: (1) align knowledge and skills with the national school mathematics curriculum; (2) use preprocessed massive datasets; (3) employ data scientists' problem-solving methods; (4) encourage decision-making; (5) leverage technological tools; and (6) promote collaborative learning. The findings indicate that few textbooks fully align with these guidelines, with most failing to incorporate elements corresponding to Guideline 2 in their project tasks. In addition, most tasks in the textbooks overlook or omit data preprocessing, either by using smaller datasets or by using big data without any form of preprocessing. This can potentially result in misconceptions among students regarding the nature of big data. Furthermore, this paper discusses the relevant mathematical knowledge and skills necessary for artificial intelligence, as well as the potential benefits and pedagogical considerations associated with integrating technology into big data tasks. This research sheds light on teaching mathematical concepts with machine learning algorithms and the effective use of technology tools in big data education.