• The korean journal of orthodontics
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• v.39 no.5
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• pp.330-336
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• 2009

Objective: To examine the differences in lateral cephalometric characteristics between patients with dental protrusion and crowding in order to determine what factors affect dental protrusion or crowding while both malocclusion types are caused by large tooth size. Methods: Twenty nine individuals with dental protrusion and 22 individuals with dental crowding were enrolled in this study. All subjects had larger teeth than average and Class I molar relationships. Craniofacial characteristics and hyoid bone positions were determined from lateral cephalograms and compared between the two groups. Results: In the comparisons of craniofacial characteristics, the measurements indicating maxillary length and facial convexity showed greater values in the protrusion group than in the crowding group. Comparisons of hyoid bone positions showed that the hyoid bone was positioned more anteriorly and superiorly in the protrusion group than in the crowding group. Conclusions: The results of the present study indicate that some craniofacial characteristics and tongue position may affect the development of dental protrusion or crowding; when an individual has large teeth, dental protrusion or crowding might be determined according to maxillary growth and tongue position.

• Tunnel and Underground Space
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• v.12 no.1
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• pp.10-18
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• 2002

Rock joint system makes a heavy effect on the behavior of rock structures. The definition of a 3D rock joint system is very important in 2D or 3D numerical analysis for the prediction of the behavior of a discontinuous rock mass. To enhance the reality of a 3D definition of rock joint system, it is essential to estimate the unbiased statistics of basic geometric attributes of rock joints. In this study, we have proposed the statistical analysis and derived the related equations for an estimation of statistics of joint size and intensity. Geometry of rock joints in 3 dimensional space can be defined by the aggregate of location, size, orientation and intensity. The dimensional limit of survey method and its data makes 3D geometric attributes probabilistic. In the estimation of statistics of joint size, we have discussed the technique to correct the bias from a dimensional limit and derived the equation of 3D joint intensity by stereological approaches.

• Smart Media Journal
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• v.13 no.6
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• pp.24-34
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• 2024

If the future can be predicted from network traffic data, which is a time series, it can achieve effects such as efficient resource allocation, prevention of malicious attacks, and energy saving. Many models based on statistical and deep learning techniques have been proposed, and most of these studies have focused on improving model structures and learning algorithms. Another approach to improving the prediction performance of the model is to obtain a good-quality data. With the aim of obtaining a good-quality data, this paper applies a dense sampling technique that augments time series data to the application of network traffic prediction and analyzes the performance improvement. As a dataset, UNSW-NB15, which is widely used for network traffic analysis, is used. Performance is analyzed using RMSE, MAE, and MAPE. To increase the objectivity of performance measurement, experiment is performed independently 10 times and the performance of existing sparse sampling and dense sampling is compared as a box plot. As a result of comparing the performance by changing the window size and the horizon factor, dense sampling consistently showed a better performance.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.12 no.4
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• pp.287-297
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• 2014

For several decades, many countries operating nuclear power plants have been studying the various disposal alternatives to dispose of the spent nuclear fuel or high-level radioactive waste safely. In this paper, as a direct disposal of spent nuclear fuels for deep geological disposal concept, the rod consolidation from spent fuel assembly for the disposal efficiency was considered and analyzed. To do this, a concept of spent fuel rod consolidation was described and the related concepts of disposal canister and disposal system were reviewed. With these concepts, several thermal analyses were carried out to determine whether the most important requirement of the temperature limit for a buffer material was satisfiedin designing an engineered barrier of a deep geological disposal system. Based on the results of thermal analyses, the deposition hole distance, disposal tunnel spacing and heat release area of a disposal canister were reviewed. And the unit disposal areas for each case were calculated and the disposal efficiencies were evaluated. This evaluation showed that the rod consolidation of spent nuclear fuel had no advantages in terms of disposal efficiency. In addition, the cooling time of spent nuclear fuels from nuclear power plant were reviewed. It showed that the disposal efficiency for the consolidated spent fuel rods could be improved in the case that cooling time was 70 years or more. But, the integrity of fuels and other conditions due to the longer term storage before disposal should be analyzed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.40-42
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• 2015

Our D2D (Device-to-Device) advertisement dissemination algorithm based on the convergence of a D2D communication and a social commerce service is able to efficiently deliver advertisement messages of small business owners. We here assume high user-density areas as target-areas, and these target areas can form several target-groups based on geographical proximity. Also, the isolated target-areas which are not included in the target-groups may have the opportunities for forming a new target-group in consideration of the maximum distance with AP. In this paper, we evaluate performances with respect to the total number of successfully received users and the average number of relay users in accordance with variation in the maximum distance for isolated target-areas.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.138-138
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• 2016

강수량은 농업과 수자원관리, 그 외 사회 기반 사업들에게 광범위하게 영향을 미치는 매우 중요한 기상요소이므로 강수량 관측자료는 사회전반에 활용되고 있다. 하지만 강수량은 공간적인 불연속성이 크기 때문에 조밀한 관측자료를 필요로 하고 있으며, 때문에 관측이 이루어지지 않은 미관측 지점의 강수량 자료를 복원하려는 연구도 계속 진행되고 있다. 관측자료를 이용하여 미관측 지점의 강수량을 복원하는 방법으로 지상 강수량 관측자료와 연직 상층기상자료 및 고해상도 지형자료를 이용하여 복원하는 정량적 강수량 진단 모형이 이미 개발되어 대한민국을 대상으로 강수량 복원이 이루어진 바 있다. 대한민국은 전국이 대략 10 km 정도로 비교적 조밀하고 일정한 지상 관측망을 가지고 있어 관측자료를 이용한 강수량 복원에 유리하다. 하지만 전 세계 많은 지역에서 강수량 관측자료는 매우 부족한 실정이며 가깝게는 북한과 중국에서부터 아프리카와 남아메리카 등 일부 강수량 관측이 전혀 이루어지지 않는 지역도 존재한다. 이러한 지역에 대한 강수량 복원 정확도에 대해서는 지금까지 연구된 바 없으며 관측자료 수에 따른 복원 민감도에 대한 연구도 이루어지지 않았다. 따라서 대한민국에 비해 관측자료가 부족한 지역에 대해 복원 정확도를 파악할 필요성이 있으므로 본 연구에서는 관측소 밀집정도에 따른 미관측 지역의 강수량 복원 민감도 분석을 하였다. 대한민국은 572개 지점의 지상기상관측망(자동기상관측장비 AWS 477개, 종관기상관측장비 ASOS 95개 지점)을 운영하고 있으며, 10개 지점의 기상레이더가 전국을 감시하고 있어 미관측 지점에 대해 검증자료로 활용할 수 있으므로 강수량 복원 민감도 분석 대상 지역으로 선정하였다. 강수량 복원 정확도 검증을 위해 강수량 복원자료의 격자점과 가장 근접한 관측지점을 검증지점으로 선정하고, 강수량 복원에는 검증지점을 제외한 관측자료만을 이용하였다. 관측자료 밀집정도에 따른 민감도 분석을 위해 관측자료를 100% 사용하였을 때와 일부만 사용하였을 때로 나누어 분석하였다. 관측소 밀집도에 따른 강수량 복원 정확도 민감성 분석을 통해 관측소가 부족한 북한, 중국, 아프리카 등지의 미관측 지점 복원 정확도를 추정할 수 있으며 관측소가 부족하거나 전무한 지역에서 강수량 복원 정확도를 늘리기 위해 필요한 관측소 수를 파악하는 데에 적용할 수 있을 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.504-506
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• 2022

최근 인공지능 기술의 발달에 따라 여러 분야에 인공지능 기술이 활발히 응용되고 있다. 그중 안전 관리 분야에서 사람 인식을 통한 안전 관리 시스템의 지속적인 개발이 요구되고 있다. 그러나 실내 한정된 공간에서 사람들의 밀집도가 높은 경우 오브젝트의 중복도가 높아져 인식 성능이 낮아질 수 있다. 이를 해결하기 위해 본 논문은 사람의 밀집도가 높은 실내 환경에서 기존 객체 인식 기법의 성능을 분석하였다. 그리고 이러한 제한적인 환경에서 최적의 좋은 성능을 보일 수 있는 SSDLite와 MobileNetV2 모델을 기반으로 soft-NMS 기법을 적용하여 성능을 분석하였다.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.73-73
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• 2017

• The Bulletin of The Korean Astronomical Society
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• v.28 no.1
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• pp.38-38
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• 2003

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6D
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• pp.655-662
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• 2012

The aim of this study is to analyze tthe pattern of compacted area and the distribution characteristics in one-person household. Through ArcGis, we collect the basic data and classify the compact area in accordance with the pattern employing Ward method out of cluster analysis. The main results are found as follows; First, the station sphere type is located around Seomyun and Nampo-dong, which are the main CBD( Central Business District) This type must be essentially considered in residential plan for one-person household location. Second, the district oriented type is located around the subway and it has relatively better residential facilities and environments. Third, it is found that the younger worker including students resided in one room and villa in the type around university. Forth, the foreign workers and domestic workers in small and medium factory resided in the factory centered type which is far from the station sphere. Lastly, it is dormitory type which is isolated from the CBD, and insteadly amenable and well natural environment area, but students and workers in this area where there are lacking life-related facilities and aside from accessibilities feel uncomfortable.