• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.315-315
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• 2018

L-THIA ACN-WQ 2016 모형 개선 연구에서는 침투량 산정, 다중 기상지점 등 유역 규모 확대를 목적으로 엔진 개선과 모형의 최적 매개변수 선정을 위해 최적화 알고리즘을 활용한 자동보정 모듈을 개발하였다. 개선된 침투량 초기손실 산정 계수를 적용한 침투량 산정 방법을 Green-Ampt 모형의 침투량 산정 결과와 비교한 결과 편차는 매우 작았으며, Green-Ampt 모형을 통해 산정된 침투량 범위 내에 분포되어 개선된 침투량 산정 방법의 결과가 유효한 값을 의미하는 것으로 나타났다. 이렇게 도출된 초기손실 산정 계수를 관계식으로 개발하여 L-THIA ACN-WQ 2018 모형 내에서 CN에 따른 초기손실량이 산정되도록 하였고, 이를 기반으로 침투량 및 기저유출량이 산정된다. 유역 규모 확대를 위해 다중 기상지점이 적용되도록 엔진 코드를 개선하였으며, 평창A와 고부A 유역을 대상으로 단일 기상지점과 다중 기상지점 적용에 따른 유출 해석을 유량지속곡선을 통해 비교 한 결과 다중 기상지점 적용에 따라서 평창A와 고부A 유역 모두 유황구간이 크게 달라지는 것으로 나타났다. 특히 고부A 유역은 우황 변동 특성이 크게 나타났는데, 지역적 강우 특성이 뚜렷한 유역에서는 유출해석에 매우 중요한 영향인자로 작용되는 것으로 알 수 있었다. 마지막으로 L-THIA ACN-WQ 2018모형을 이용함에 있어 유역 특성에 알맞은 최적 매개변수 산정을 위해 유량 및 TN, TP 자동보정 툴을 개발하였다. 자동보정툴은 2개의 보정방안으로 개발하였다. 첫 번째는 유역 전체에 대해 하나의 최적매개변수를 도출하는 것이며, 두번째는 유역 내 다중 보정 지점을 통해 소유역별 최적매개변수를 도출하는 것이다. 이를 통해 사용자는 모형의 활용 목적 및 가용 가능한 보정 자료 등을 고려하여 모형의 최적 매개변수를 도출할 수 있다. 이렇게 개선된 L-THIA ACN-WQ 2018 모형을 총량단위유역 한강 평창A와 금강 고부A에 적용한 결과 유량은 NSE 0.76, 0.85로 매우 높게 나타났으며, TN, TP의 NSE는 0.64 ~ 0.86 로 매우 높은 적용성 결과가 도출되었다. Ryu(2016)의 연구 결과와 비교해보면 평창A는 NSE와 $R^2$ 수치로는 큰 차이를 보이지 않았지만, 유량 모의에서 일별 예측값 변화 폭에 큰 변화가 있는 것으로 나타났다. 기존 L-THIA ACN-WQ 2016모형 결과에서는 일별 유량의 변동성이 매우 크지만, L-THIA ACN-WQ 2018 모형에서는 일별 유량 변동폭이 크게 감소하여, 유량 모의에 큰 개선 효과가 있는 것으로 나타났다

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.29-34
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• 2019

In this study, a gasoline test vehicle was evaluated for drive quality in emissions and fuel economy tests. The measurement results were compared with the manufacturer's suggested values to evaluate whether the tolerance ranges (fuel efficiency -5%, greenhouse gas +5%) were exceeded. We carried out tests with test subjects based on the SAE J2951 evaluation method. The test vehicle was a 2L gasoline vehicle. The drive following performance was found to increase under deliberate driving conditions and decreased in smooth driving conditions. As a result of the analysis of the drive following performance, the closer the value is to 1, the more accurate the driving is. (-) indicates harsh conditions, and (+) indicates gentle conditions. The basic data on the driver following between testers was obtained by analysis of the tests. The fuel efficiency correlation with the drive following performance within the target speed range of the fuel consumption mode. In the future, these measurement results can serve as key data for securing an exhaust gas database and fuel efficiency system for each measurement mode.

• Conservation Science in Museum
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• v.25
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• pp.85-94
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• 2021

Conservation treatment of metallic artifacts contaminated with corrosion and foreign substances requires changes in the shape, characteristics, weight and thickness of the artifacts. Thus far, recording the changes after conservation treatment has mainly been performed through visual observation and photography, which lacks any quantitative description of the changes. In this study, the processes of removing foreign substances, joining cracks, and restoring an affected area were recorded using 3D scanning and then quantitatively analyzed to identify changes in form due to conservation treatment. The volume change after the conservation process was calculated based on the results of the 3D scanning, and numerical data on the changes to the form was analyzed. It was revealed that the foreign or corroded substances removed after the conservation accounted for 18.1 cm³, which is approximately 52% of the total volume of the ring pommel, and those substances were removed from about 98% of the surface of the ring pommel. This study confirmed that 3D form analysis was useful for recording the processes of conservation treatment and analyzing the results. It is therefore believed that this methodology can be applicable to not only metal artifacts, but to cultural heritage items in a range of materials.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.5
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• pp.339-357
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• 2021

As the construction of trans infrastructure using the underground tunnel have been rapidly increased, various nearby excavation of existed underground facility including subway structure has been occurred in urban tunnelling. The concern and worry relating to the safety and stability of the existed facility by nearby excavation is becoming the key issues in urban tunnelling. In this study, it was conducted for existed the subway station structure at Seoul subway line which was closely located in the new Dongbuk urban metro railway to determine the behavior characteristics of station structure according to adjacent tunnel construction. Also, it was reviewed the evaluation of the safety zone and excavation method for subway structure. And after a review of damage evaluation, track irregularities and structural calculation by using a numerical analysis, stability of the subway structure according to nearby tunnel excavation was evaluated to be secured. This study is expected to be applied as useful reference in advance if you need to review the effects of existed structure according to nearby construction in complex urban tunnelling.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.621-626
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• 2021

In this study, data on the study site for apartment construction was acquired, and the quantity of construction waste was calculated using a drone and mobile 3D laser scanner. The accuracy of the drone was 0.034 to 0.064m in the horizontal and vertical directions, respectively, and the mobile 3D Laser Scanner showed an accuracy of 0.018 to 0.049m in the horizontal direction, respectively. These results suggest that it is possible to construct spatial information using a drone and mobile 3D laser scanner with a value within the allowable accuracy of 1:1,000 digital terrain. The volume of construction waste calculated using the mobile 3D laser scanner data was 70,797㎥. It was possible to calculate the volume on the side of the building or some facilities that appeared as shaded areas in the drone outcomes. In addition, modeling was performed for view analysis of the apartments scheduled to be constructed and the terrain-based modeling results of the surrounding buildings. In the future, data construction and accuracy evaluation using mobile 3D laser scanners will be conducted. In addition, additional research comparing existing methods and work processes will be carried out, and the efficiency of mobile 3D laser scanners in the field of spatial information construction can be presented.

• Trans-
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• v.13
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• pp.1-16
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• 2022

Recently, the method of contacting and purchasing NFT art has been popularly evolving, and various prospects and predictions for NFT art have emerged. The discussion of NFT art is mainly a hot topic in terms of market size, profit, and sustainability. As the transition to digital accelerated after COVID-19, almost all genres of culture and arts faced a forced transition with the topic of combining digital and technology, but in terms of profitability, it was generally difficult to guarantee positive continuity. On the other hand, the combination of art and blockchain, and the new distribution method called NFT, attracted a lot of attention by causing fundamental changes that lead to technological transformation, continuity through profit creation, and even genre expansion of visual art. The discourse on NFT and the art market is a recent phenomenon and is being discussed focusing on statistics and numerical reports through data from newspapers and art-related research institutes rather than academic analysis or research. However, discussions related to NFT art should be considered in various aspects, such as the incorporation of technology and art, changes in distribution methods, and changes in creative methods according to media changes, not just short stories of phenomena such as high prices and winning bids. In this paper, we would like to examine the impact of changes in creators and distribution methods.

• Phonetics and Speech Sciences
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• v.14 no.3
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• pp.41-49
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• 2022

The average acoustic distribution of American English speakers was statistically compared with the English-speaking patterns of gifted students in a Science Academy in Korea. By analyzing speech recordings, the duration time of which is much longer than in previous studies, this research identified the degree of acoustic proximity between the two parties and the predictability of English academic achievement of gifted high school students. Long-term spectral acoustic power distribution vectors were obtained for 2,048 center frequencies in the range of 20 Hz to 20,000 Hz by applying an long-term average speech spectrum (LTASS) MATLAB code. Three more variables were statistically compared to discover additional indices that can predict future English academic achievement: the receptive vocabulary size test, the cumulative vocabulary scores of English formative assessment, and the English Speaking Proficiency Test scores. Linear regression and correlational analyses between the four variables showed that the receptive vocabulary size test and the low-frequency vocabulary formative assessments which require both lexical and domain-specific science background knowledge are relatively more significant variables than a basic suprasegmental level English fluency in the predictability of gifted students' academic achievement.

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.189-196
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• 2023

This paper analyzes the level of satisfaction of two groups of teachers who were educated about artificial intelligence using App Inventor. The participants were 13 pre-service and 9 in-service elementary school teachers and the data was collected using a questionnaire. As a result of the study, in-service teachers were all more satisfied than pre-service teachers in terms of interest, difficulty, and participation in the education. In addition, the questions investigating whether education helped motivate learning of artificial intelligence and whether there is a willingness to apply it to elementary classes in the future were also more positive for in-service teachers than for pre-service teachers. In general, pre-service teachers had somewhat more negative views than in-service teachers, but they were more positive than in-service teachers in terms of whether the education helped improve their understanding of artificial intelligence and whether they were willing to participate in additional education. Analysis of the Mann-Whitney test to see if there was a significant difference in satisfaction between the two groups showed no significance. This may be because most of the students in the two groups already had block-type or text-type programming experience, so they were able to participate in the education without any special resistance or difficulty with App Inventor, resulting in high levels of satisfaction from both groups. The results of this study can provide basic data for the future development and operation of programs for artificial intelligence education for both pre-service and in-service elementary school teachers.

• Economic and Environmental Geology
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• v.55 no.6
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• pp.633-648
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• 2022

Gravity data were analyzed to identify the cause of clustered seismicity that occurred intensively in Yeoncheon, located in the central part of the Korean Peninsula. Our analysis suggests that the En echelon faults developed in the northwest-southeast direction. In addition, in the eastern part of the Dongducheon Fault, it was interpreted that high-density lower bedrock intermittently lifts close to the surface due to vertical tectonic movement accompanied by a flower structure. The fracture zone of the Dongducheon Fault is estimated that the width is about 200 m, the depth is at least 5 km, and the density is about 15% lower than the adjacent rocks. It is analyzed that the shallow earthquakes that occurred within 5 km depth was concentrated along the low-density En echelon fault fracture zone developed between the high-density rocks intruding close to the surface. Therefore, the earthquakes can be interpreted as the result that the north-south stress caused by the dextral tectonic movement of the Dongducheon Fault activated the En echelon fault in the northwest-southeast direction.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6A
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• pp.765-778
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• 2008

Performance Profiles are essential to predict the performance variation over time for the bridge management system (BMS) based on risk management. In general, condition profiles based on experts opinion and/or visual inspection records have been used widely because obtaining profiles based on real performance is not easy. However, those condition profiles usually don't give a good consistency to the safety of bridges, causing practical problems for the effective bridge management. The accuracy of performance evaluation is directly related to the accuracy of BMS. The reliability of the evaluation is important to produce the optimal solution for distributing maintenance budget reasonably. However, conventional methods of bridge assessment are not suitable for a more sophisticated decision making procedure. In this study, a method to compute quantitative performance profiles has been proposed to overcome the limitations of those conventional models. In Bridge Management Systems, the main role of performance profiles is to compute and predict the performance of bridges subject to lifetime activities with uncertainty. Therefore, the computation time for obtaining an optimal maintenance scenario is closely related to the efficiency of the performance profile. In this study, the Response Surface Method (RSM) based on independent and important design variables is developed for the rapid computation. Steel box bridges have been investigated because the number of independent design variables can be reduced significantly due to the high dependency between design variables.