• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.380-384
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• 2016

홍수완화의 관점에서 강을 관리하기 위하여 수자원의 이용과 생태계보전, 하천흐름과 형태학적 변화들에 대하여 충분히 이해하고 합리적으로 설명하는 것이 필요하다. 최근에 수변지역에서 발달된 식생은 홍수시에 감속영역과 생물들의 피난처를 제공하는 것 이외에 횡단방향의 혼합작용을 활성화하여 유사와 식물의 씨앗 및 입자성 유기물(POM)을 포착하는 기능을 하고 특히 흐름과 유사이송 및 하도 지형변화에 큰 영향을 주기 때문에 중요하다. 입자성 유기물(POM)은 하천생태계를 지탱하는 에너지원으로서 다양한 형태로 존재하고 미생물의 분해를 받아 무기화된 식생의 번무와 물질순환의 시발점이 되기도 하지만 현재까지 식생영역 내에서 그 공급과정에 관련이 있는 운동기구에 관한 연구는 아직 부족한 실정이다. 따라서 본 연구는 식생영역의 유사퇴적 및 분급작용, 입자성 유기물의 포착을 일으키는 원인과 흐름의 특징 중 식생영역 내에서 흐름방향으로 감속에 주목하여 수리 모형실험을 실시하였고 수변식생에서 부유사와 POM의 퇴적과정에 대하여 검토 및 모델링을 실시하였다. 수리 모형실험 결과 CPOM과 FPOM 모두 유사의 퇴적없이 그 자체로는 퇴적이 되지 않았고 수변식생의 종방향 이송의 경우 식생에 의해 퇴적된 부유사가 사련 형태로 형성이 되어 CPOM이 사련의 배후에서 캡쳐 되었다. 또한 두가지 샘플 움직임의 상호작용은 사련의 파고와 파장의 전파속도를 감소시켰다. 식생지역에서 횡방향 분산의 경우에 대해서는 각각의 유사 크기에 대한 퇴적물의 능선은 식생의 경계를 따라 형성되었고 운동의 범위는 유사 퇴적의 능선에 의해 촉진되어 횡방향으로 확산하며 확장되었다. 이러한 결과를 바탕으로 제한된 경험적인 지식보다 오히려 실험을 통하여 식생을 동반하는 장소에서 유사와 POM의 거동특성 차이 및 간섭작용을 명확히 한 후 현장에서 관측된 현상과 비교 검증이 필요하다고 사료되며 추후에 운동기구를 모델링 및 업그레이드 해 나가는 것이 앞으로의 하천생태계 예측평가에 필요하다고 판단된다.

• Journal of the Korea Institute of Building Construction
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• v.21 no.4
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• pp.281-291
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• 2021

To reduce the environmental load of the construction industry, there is a need to minimize construction and demolition by strengthening the eco-friendliness of building materials and extending the durable lifespan. Therefore, while many Hanok roof finishing methods have been proposed to address these problems, the current trend is to use the existing method due to issues such as economic feasibility, weight, and durability. The manufacturing method of clay roof tiles used as roofing materials for Hanok buildings is optimized by using a mixture of 64.5% Gyeongju clay, 15.0% kaolin, 15.0% FNS(Ferro Nickel Slag), and 5.5% MAS(Magnesia Aluminum Silicate) under optimal conditions. The results of the experiment involving firing at 1,125℃ showed that flexural strength of 12,102N, which is higher than the standard of KS F 3510, an absorption rate of 6.08%, a volume specific gravity of 2.15g/cm³, and the freeze-thaw properties were satisfied. A method for securing stable quality was studied.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.125-135
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• 2022

This study aims to explore variables using machine learning and provide analysis techniques suitable for predicting pharmacy sales whether government statistical indicators built to create an industrial ecosystem based on data, network, and artificial intelligence affect pharmacy sales. Therefore, this study explored predictive variables and performance through machine learning techniques such as Random Forest, XGBoost, LightGBM, and CatBoost using analysis data from January 2016 to December 2021 for 28 government statistical indicators and pharmacies in the retail sector. As a result of the analysis, economic sentiment index, economic accompanying index circulation change, and consumer sentiment index, which are economic indicators, were found to be important variables affecting pharmacy sales. As a result of examining the indicators MAE, MSE, and RMSE for regression performance, random forests showed the best performance than XGBoost, LightGBM, and CatBoost. Therefore, this study presented variables and optimal machine learning techniques that affect pharmacy sales based on machine learning results, and proposed several implications and follow-up studies.

• Smart Media Journal
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• v.11 no.3
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• pp.26-30
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• 2022

Spiking neural network is a neural network that applies the working principle of real brain neurons. Due to the biological mechanism of neurons, it consumes less power for training and reasoning than conventional neural networks. Recently, as deep learning models become huge and operating costs increase exponentially, the spiking neural network is attracting attention as a third-generation neural network that connects convolution neural networks and recurrent neural networks, and related research is being actively conducted. However, in order to apply the spiking neural network model to the industry, a lot of research still needs to be done, and the problem of model retraining to apply a new model must also be solved. In this paper, we propose a method to minimize the cost of model retraining by extracting the weights of the existing trained deep learning model and converting them into the weights of the spiking neural network model. In addition, it was found that weight conversion worked correctly by comparing the results of inference using the converted weights with the results of the existing model.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.377-385
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• 2022

As a kind of industry-university cooperation, the contract-based department for nurturing the employers that meets the needs of industrial society has started for about 20 years. In particular, interest in contract departments as part of the SMEs' human resource development support is increasing with the newly starting government, so it is expecting that the number of new contract departments will increase for the time being. The purpose of this study is to identify the characteristics of each contract department according to the learner type and contract method, and to suggest procedures and considerations for the establishment of re-education-type and third party contract-type contract departments suitable for SMEs. In particular, the authors would like to present the case of K University for how to design the curriculum to create a virtuous cycle by harmoniously reflecting the position of the operating institution as a supplier and the requirements of many companies as consumers.

• Journal of Biomedical Engineering Research
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• v.43 no.4
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• pp.193-198
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• 2022

Contrast enhanced magnetic resonance imaging using gadolinium-based contrast agent (GBCA) is a very useful in vivo technique to visualize the inner ear pathology including endolymphatic hydrops. Although systemic intravenous (IV) administration can visualize the perilymph space, the visualization was possible by indirect passage of contrast agent through blood-perilymph barrier. All animal experimental procedures were performed under anesthesia with 5% isoflurane. Lipopolysaccharide (LPS) was instilled into the left tympanic cavity through the tympanic membrane using a sterile 27gauge needle to induce hydrops model. Tucker-Davis Technologies system was used to measure Auditory Brainstem Responses (ABRs). For intracerebroven-tricular (ICV) administration, 25 µmol of GADOVIST (Bayer, Berlin, Germany) was used and diluted GADOVIST injection was 10 µl. MR imaging was acquired with a 9.4 Tesla MRI scanner. Transmit-receive volume coil with 40 mm inner diameter and 75 mm out diameter was used. ICV administration well demonstrated the strong enhancement along the cerebrospinal fluid (CSF) microcirculation pathway including CSF fluid in the subarachnoid space and CSF space of the inner ear structures. On the other hand, IV administration showed no contrast enhancement along the CSF microcirculation pathway and showed weak enhancement in the inner ear structures. In case of rat hydrops model, ICV administration showed that the reduced contrast enhancement in the perilymph space of the hydrops induced inner ear compared to the contrast enhancement in the perilymph space of the normal inner ear. New systemic ICV administration method provide contrast enhancement of GBCA in the inner ear through CSF microcirculation pathway.

• Journal of the Korean Geosynthetics Society
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• v.22 no.3
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• pp.61-69
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• 2023

As global trade and maritime port environments change, the need to respond to larger and faster ships is increasing. Accordingly, new ports are being built around metropolitan cities such as Busan and Ulsan. In general, a compaction method using sand or gravel is applied to the construction of a new port. However, due to the lack of sand or gravel and the difficulty in securing economic feasibility due to the increase in unit price, the deep mixing method has recently been used. Therefore, in this study, CMD-SOIL using circulating resources was applied to the Ulsan area, and the applicability was determined by analyzing the laboratory mixing test and boring results at in-situ. As a result of the test, it was analyzed that it showed more than the design mixing strength, and it was possible to secure the similar performance as blast furnace slag cement. In addition, it was analyzed that the design standard strength can be sufficiently secured as a result of in-situ boring. Therefore, considering the field applicability in the Ulsan, it is judged that the use of CMD-SOIL is possible.

• Environmental and Resource Economics Review
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• v.31 no.4
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• pp.887-908
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• 2022

In order to confirm the effects of economic growth and environmental improvement, this study analyzed the existence of environmental Kuznets curve (EKC) for SO₂ emission, greenhouse gas emission, and waste generation in OECD countries. As a result of panel analysis, the shape of the EKC were different depending on environmental pollutants. SO₂ generated peaks relatively early in economic growth, and the peak of greenhouse gas emissions was showed in higher income level. But both emissions showed the a complete inverted U-shaped curve decreasing after the peak. On the other hand, for waste, there was no environmental Kuznets curve that could confirm the peak. Therefore, this study confirmed that it is difficult to expect a voluntary reduction in all environmental pollutants, and additional global joint efforts are needed to pass the peak. In particular, since waste has a greater impact on population density and industrial structure than income level, additional policy efforts are needed to reduce generation and create a resource circulation system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.35-37
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• 2021

Analyzing and predicting foreign tourists' demand is a crucial research topic in the tourism industry because it profoundly influences establishing and planning tourism policies. Since foreign tourist data is influenced by various external factors, it has a characteristic that there are many subtle changes over time. Therefore, in recent years, research is being conducted to design a prediction model by reflecting various external factors such as economic variables to predict the demand for tourists inbound. However, the regression analysis model and the recurrent neural network model, mainly used for time series prediction, did not show good performance in time series prediction reflecting various variables. Therefore, we design a foreign tourist demand prediction model that complements these limitations using a convolutional neural network. In this paper, we propose a model that predicts foreign tourists' demand by designing a one-dimensional convolutional neural network that reflects foreign tourist data for the past ten years provided by the Korea Tourism Organization and additionally collected external factors as input variables.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1B
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• pp.115-123
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• 2008

In the present study, a three dimensional hydrodynamic characteristics around the fully submerged dual breakwaters with a sand beach has been investigated numerically using a 3-D numerical scheme, which can determine the eddy viscosity with LES turbulence model and is able to consider wave-structure-seabed interaction in 3-dimensional wave field (LES-WASS-3D), recently developed by Hur and Lee (2007). Based on the numerical experiments, strong vortices can be generated fore and aft edges of the structures, and propagate lee sides. Thus relatively large circulation flows are occurred around submerged breakwaters. The 3-D flow hydrodynamic characteristics have been examined by mean flows and mean vortices for various x-y, x-z sections and y-z layers. Wave height distribution and wave set-up around and over submerged breakwaters, and breaking point migration toward shore side is discussed in detail.