• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.24 no.1
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• pp.170-186
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• 2019

The marine ecosystem survey investigates and analyzes multi-parameters at various times from various sites. Therefore, it is very difficult to analyze the complex ecological data of multi-items effectively, and it is more difficult to identify the current status and diagnose the problems of ecosystem through data analysis. Therefore, this paper aims to provide an example of interpretation of complex ecological data through analysis of distribution characteristics and outliers of ecological survey data. The main contents of the study are to elucidate the background levels of coastal ecosystem parameters considering the distribution characteristics of data, and to establish ecosystem monitoring indicators and an adaptive management system for the coastal waters in Korean Peninsula. The data used in this paper are based on the coastal ecosystem survey of the National Marine Ecosystem Monitoring Program conducted by the Ministry of Oceans and Fisheries (MOF) and the Korea Marine Environment Management Corporation (KOEM), and the major citations are from year 2015 to 2017. This article is a preliminary study to establish the above processes and the final result will be derived in 2020 when the coastal ecosystem survey is completed three times along the Korean coast.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.145-150
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• 2019

The purpose of this study was to investigate farmers' field survey to improve animal welfare certification standards and to obtain basic data on the animal welfare level for certified farmers to develop evaluation methods of animal welfare level suitable for domestic farm environment. The subjects of the study were selected 10 animal welfare laying certified farmhouses. The farming certified farming facility survey collected breeding form, head, feed and drink space, breeding density, length and shape of perch. Animal welfare was assessed by the presence of sand bath, spawning, enrichment measures, free range, feathers pecking. The results of the study showed that most the certified animal welfare laying hens complied with the certification standards. All the farms were providing the nest box, but there were farms with more than 20% of the spawning rate. The perches were provided in sufficient length, but only three of ten farms were using rounded perches. Feather damage has been identified in most survey farms, which is likely to be due to feather damage caused by roosters producing both fertilized eggs. In this study, 10 farm households were surveyed. It was not possible to represent the whole certified farmhouse. Therefore, it should be analyzed thoroughly to evaluate the level of animal welfare.

• Korean Journal of Construction Engineering and Management
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• v.20 no.3
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• pp.122-133
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• 2019

In the construction industry, bidding competitiveness is the most basic and important competence of the company. Bidding competitiveness comes from competitive advantage, but the strategy of the company to capture bidding competitiveness varies with the characteristics of the project. In particular, overseas construction is where uniqueness of the construction industry and the specificity of international business coexist. This study analyzes the bidding success ratio and the level of bidding difficulty by project characteristics with 12,952 overseas construction bidding cases. Consequently, it was found that the bidding success ratio of Middle East and North Africa (MENA) and civil engineering was the lowest in each group of project characteristics, and therefore the level of bidding difficulty is high, respectively. In addition, it was confirmed that the bidding success ratio of small size or short duration project was relatively high, and the bidding success ratio of both the negotiated bidding in the bidding method group and the private sector in the client type group was respectively high. However, Kruskal-Wallis test in contract type and period shows that there is no statistically significant difference in the bidding success ratio by group.

• Journal of the Korea Computer Graphics Society
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• v.27 no.3
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• pp.31-42
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• 2021

We propose a deep learning-based method that can estimate an appropriate lighting of both indoor and outdoor images. The method consists of two networks: Crop-to-PanoLDR network and LDR-to-HDR network. The Crop-to-PanoLDR network predicts a low dynamic range (LDR) environment map from a single partially observed normal field of view image, and the LDR-to-HDR network transforms the predicted LDR image into a high dynamic range (HDR) environment map which includes the high intensity light information. The HDR environment map generated through this process is applied when rendering virtual objects in the given image. The direction of the estimated light along with ambient light illuminating the virtual object is examined to verify the effectiveness of the proposed method. For this, the results from our method are compared with those from the methods that consider either indoor images or outdoor images only. In addition, the effect of the loss function, which plays the role of classifying images into indoor or outdoor was tested and verified. Finally, a user test was conducted to compare the quality of the environment map created in this study with those created by existing research.

• Journal of the Korean Society of Propulsion Engineers
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• v.25 no.1
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• pp.1-11
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• 2021

POGO is a dynamic axial instability phenomenon that occurs in liquid-propelled rockets. As the natural frequencies of the fuselage and those of the propellant supply system become closer, the entire system will become unstable. To predict POGO, the propellant (oxidant and fuel) tank in the first stage is modeled as a shell element, and the remaining components, the engine and the upper part, are modeled as mass-spring, and structural analysis is performed. The transmission line model is used to predict the pressure and flow perturbation of the propellant supply system. In this paper, the closed-loop transfer function is constructed by integrating the fuselage structure and fluid modeling as described above. The pogo suppressor consists of a branch pipe and an accumulator that absorbs pressure fluctuations in a passive manner and is located in the middle of the propellant supply system. The design parameters for its design optimization to suppress the decay phenomenon are set as the diameter, length of the branch pipe, and accumulator. Multiple-objective function optimization is performed by setting the energy minimization of the closed loop transfer function in terms of to the mass of the pogo suppressor and that of the propellant as the objective function.

• Journal of Environmental Impact Assessment
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• v.30 no.3
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• pp.164-174
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• 2021

Information on biodiversity plays an important role in conservation planning for ecosystem. As existing biodiversity indices are calculated and predicted only based on the number of individuals and species, it is difficult to explain aspects of genetic and ecological diversity. Phylogenetic diversity can indirectly evaluate ecological diversity as well as genetic diversity overlooked by existing biodiversity assessments. In this study, typical metrics of biodiversity (e.g., species diversity, species richness, etc.) and phylogenetic diversity were evaluated together using a long-term monitoring data of winter birds in Jungrang, Cheonggye and Anyang stream where are designated as Seoul migratory bird reserves. Then discussed the meaning of each assessmentresult. In Jungrang and Anyang stream, the number of individuals generally decreased overtime, whereas in Cheonggye stream, there was no significant change. In addition, species abundance increased over time slightly in Cheonggye stream, while there was no significant change in Jungrang and Anyang stream. Species diversity temporally increased in Jungrang and Cheonggye stream, excluding Anyang stream, but phylogenetic diversity showed a tendency to increase only in Cheonggye stream. These changes in the biodiversity assessment indices are thought to be due to anthropogenic disturbances such as construction that occurred within each site, and it was shown that species diversity and phylogenetic diversity do not always lead to the same assessment results. Therefore, this study suggests that biodiversity assessment needs to be considered from various contexts such as genetic and ecological perspectives.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.19-43
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• 2021

The prediction of box office performance in performing arts institutions is an important issue in the performing arts industry and institutions. For this, traditional prediction methodology and data mining methodology using standardized data such as cast members, performance venues, and ticket prices have been proposed. However, although it is evident that audiences tend to seek out their intentions by the performance guide poster, few attempts were made to predict box office performance by analyzing poster images. Hence, the purpose of this study is to propose a deep learning application method that can predict box office success through performance-related poster images. Prediction was performed using deep learning algorithms such as Pure CNN, VGG-16, Inception-v3, and ResNet50 using poster images published on the KOPIS as learning data set. In addition, an ensemble with traditional regression analysis methodology was also attempted. As a result, it showed high discrimination performance exceeding 85% of box office prediction accuracy. This study is the first attempt to predict box office success using image data in the performing arts field, and the method proposed in this study can be applied to the areas of poster-based advertisements such as institutional promotions and corporate product advertisements.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.3
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• pp.159-165
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• 2021

This study introduces a topology optimization method for the simultaneous design of macro-scale structural configuration and unit structure variation to ensure effective heat conduction. Shape changes in the unit structure depending on its location within the macro-scale structure result in micro- as well as macro-scale design and enable better performance than using isotropic unit structures. They result in functionally graded composite structures combining both configurations. The representative volume element (RVE) method is applied to obtain various thermal conductivity properties of the multi-material based unit structure according to its shape change. Based on the RVE analysis results, the material properties of the unit structure having a certain shape can be derived using machine learning. Macro-scale topology optimization is performed using the traditional solid isotropic material with penalization method, while the unit structures composing the macro-structure can have various shapes to improve the heat conduction performance according to the simultaneous optimization process. Numerical examples of the thermal compliance minimization issue are provided to verify the effectiveness of the proposed method.

• Korean Journal of Environmental Biology
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• v.39 no.2
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• pp.169-183
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• 2021

This study was carried out to investigate the flora of the Hanbando wetland (Yeongwol-gun, Gangwon-do) from April 2019 to May 2020. Vascular plants were grouped into 508 taxa, comprising 93 families, 309 genera, 456 species, 10 subspecies, 37 varieties, and 5 forms. Among the investigated 508 taxa, 2 endangered species, 8 rare plants, and 8 endemic plants were identified. The specific plants by floristic region were grouped into 71 taxa including, 3 taxa of grade V, 10 taxa of grade IV, 15 taxa of grade III, 17 taxa of grade II, and 26 taxa of grade I. Naturalized and ecosystem disturbing plants were grouped into 57 taxa and 5 taxa, respectively. The percentage of naturalized plants species and urbanization index were estimated to be 11.2% and 17.8%, respectively. This study provides important basic information for the efficient management of Hanbando wetland, which possess a high conservation value since it is forms part of the list of Ramsar wetlands.

• Journal of the Korean Institute of Gas
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• v.25 no.1
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• pp.20-29
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• 2021

During multi-stage fracturing in a low permeable shale formation, stress interference occurs between the stages which is called the "stress shadow effect(SSE)". The effect may alter the fracture propagation direction and induce ununiform geometry. In this study, the stress shadow effect on the hydraulic fracture geometry and the well productivity were investigated by the commercial full-3D fracture model, GOHFER. In a homogeneous reservoir model, a multi-stage fracturing process was performed with or without the SSE. In addition, the fracturing was performed on two shale reservoirs with different geomechanical properties(Young's modulus and Poisson's ratio) to analyze the stress shadow effect. In the simulation results, the stress change caused by the fracture created in the previous stage switched the maximum/minimum horizontal stress and the lower productivity L-direction fracture was more dominating over the T-direction fracture. Since the Marcellus shale is more brittle than more dominating over the T-direction fracture. Since the Marcellus shale is more brittle than the relatively ductile Eagle Ford shale, the fracture width in the former was developed thicker, resulting in the larger fracture volume. And the Marcellus shale's Young's modulus is low, the stress effect is less significant than the Eagle Ford shale in the stage 2. The stress shadow effect strongly depends on not only the spacing between fractures but also the geomechanical properties. Therefore, the stress shadow effect needs to be taken into account for more accurate analysis of the fracture geometry and for more reliable prediction of the well productivity.