• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3B
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• pp.279-289
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• 2006

The reconstruction of low dimension nonlinear behavior from the hydrologic time series has been an active area of research in the last decade. In this study, we present the applications of a powerful state space reconstruction methodology using the method of Support Vector Machines (SVM) to the Great Salt Lake (GSL) volume. SVMs are machine learning systems that use a hypothesis space of linear functions in a Kernel induced higher dimensional feature space. SVMs are optimized by minimizing a bound on a generalized error (risk) measure, rather than just the mean square error over a training set. The utility of this SVM regression approach is demonstrated through applications to the short term forecasts of the biweekly GSL volume. The SVM based reconstruction is used to develop time series forecasts for multiple lead times ranging from the period of two weeks to several months. The reliability of the algorithm in learning and forecasting the dynamics is tested using split sample sensitivity analyses, with a particular interest in forecasting extreme states. Unlike previously reported methodologies, SVMs are able to extract the dynamics using only a few past observed data points (Support Vectors, SV) out of the training examples. Considering statistical measures, the prediction model based on SVM demonstrated encouraging and promising results in a short-term prediction. Thus, the SVM method presented in this study suggests a competitive methodology for the forecast of hydrologic time series.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.2D
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• pp.311-318
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• 2009

Interactive terrain visualization is an important research area with applications in GIS, games, virtual reality, scientific visualization and flight simulators, besides having military use. This is a complex and challenging problem considering that some applications require precise visualizations of huge data sets at real-time rates. In general, the size of data sets makes rendering at real-time difficult since the terrain data cannot fit entirely in memory. In this paper, we suggest the effective Real-time LOD(level-of-detail) algorithm for displaying the huge terrain data and processing mass geometry. We used a hierarchy structure with $4{\times}4$ and $2{\times}2$ tiles for real-time rendering of mass volume DEM which acquired from Digital map, LiDAR, DTM and DSM. Moreover, texture mapping is performed to visualize realistically while displaying height data of normalized Giga Byte level with user oriented terrain information and creating hill shade map using height data to hierarchy tile structure of file type. Large volume of terrain data was transformed to LOD data for real time visualization. This paper show the new LOD algorithm for seamless visualization, high quality, minimize the data loss and maximize the frame speed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.273-275
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• 2022

The use of drugs by pregnant women poses a potential risk to the fetus. Therefore, it is essential to classify drugs that pregnant women should prohibit. However, the fetal toxicity of most drugs has not been identified. This takes a lot of time and cost. In silico approaches, such as virtual screening, can identify compounds that may present a high risk to the fetus for a wide range of compounds at the low cost and time. We collected class information of each drug from the hazard classification lists for prescribing drugs in pregnancy by the government of Korea and Australia. Using the structural and chemical features of each drug, various machine learning models were constructed to predict fetal toxicity of drugs. For all models, the quantitative performance evaluation was performed. Based on the attention algorithm, important molecular substructures of compounds were identified in the process of predicting the fetal toxicity of the drug by the proposed model. From the results, we confirmed that drugs with a high risk of fetal toxicity can be predicted for a wide range of compounds by machine learning. This study can be used as a pre-screening tool for fetal toxicity predictions, as it provides key molecular substructures associated with the fetal toxicity of compounds.

• Korean Journal of Legislative Studies
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• v.27 no.2
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• pp.71-109
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• 2021

The purpose of this study is to find out what factors influence lawmakers' voting decisions in the plenary session. In particular, the study examines causes and characteristics of waffling and strategic waffling, which express opposition or abstention in a discharge petition or a vote at the plenary session despite participating in a bill sponsorship. The study on waffling is meaningful because it has not been covered in previous literatures. To this end, the Gadeokdo New Airport Special Act, which the National Assembly passed in February 2021, was set as an analysis target. The study examined the factors that affected legislators' voting decisions and participation in bill sponsorship and who were related with waffling. Statistical results showed that the age variable influenced the motion of the bill while seniority and party affiliation had an effect on the participation of the bill. Likewise, the study found that party affiliation and district had an influence on the approval of the bill. In addition, the analysis of waffling showed that lawmakers with higher seniority tended not to participate in the vote. It could be interpreted that lawmakers with more legislative experience judged that they would benefit from strategic waffling. There is a limit to understanding lawmakers' decision-making and waffling through a limited analysis of the Gadeokdo New Airport bill. However, given that lawmakers tend to choose avoidance strategies in ambiguous situations, and given the high intelligence of lawmakers who know better than anyone about the future impact of a new bill, the decision-making shown by lawmakers in each stage of the situation is a prudent judgment gained from their experience. It indicates that it is necessary to research the legislative activities of lawmakers in various ways.

• Korean Journal of Legislative Studies
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• v.15 no.2
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• pp.67-88
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• 2009

This study aims at examining what factors have an effect on congressional voting behaviors. In particular, the study closely investigates the Whole Reform Bill on the Law of Local Educational Self-Governing because the bill attracts a lot of attentions. Above all, the bill contains direct election of superintendents of educational affairs and members of a board of education. Likewise, the education committee is converted into a standing committee of the local assembly due to the passage of the bill. The reason the study mainly focuses on the bill is because in general, bills on the floor are approved with significant high in favor; however, the bill was passed with opposition. The study examines factors having an influence on legislators' voting decision. Statistical results show that the ruling party played a significant role in passing the bill. Also, the results exhibit that legislators with high careers and proportional members were in favor of the bill compared with other legislators. Although the study examined only particular bill passed by the National Assembly, it gave an opportunity to look at voting behaviors of legislators. Hopefully, the study contributes to the understanding of congressional voting behaviors.

• Journal of the Korea Computer Graphics Society
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• v.29 no.5
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• pp.1-9
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• 2023

The control technology of animatronics is an interesting topic explored in various fields, including engineering, medicine, and art, with ongoing research efforts. The conventional method for controlling the movement of animatronics is to use electric motors installed inside the body. However, this method is difficult to apply when expressing a narrow space inside the body. In this study, a method of using external forces instead of installing mechanical devices inside the body was proposed to control the movement of a thin and long tentacle organism. Specifically, in this study, the joint body of animatronics was made of magnetic metal material so that it could be affected by the force of an externally installed electromagnet. The strength of the electromagnet was controlled by a PID controller to enable real-time control of the position of the animatronics body. In addition, the magnet was made to rotate, and the speed of rotation was changed to create various movements. Through virtual environment simulations, our experiments demonstrate the superiority of the proposed method, showcasing real-time control by users and the creation of animations in various styles.

• Korean Journal of Culture and Social Issue
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• v.11 no.1
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• pp.59-84
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• 2005

Three studies were conducted to examine the degree to which three common heuristics, anchoring heuristic, framing effect and representative-ness heuristic, influence the decision-making precesses of actual judges and 5-persons mock juries. With scenarios regarding various issues that are commonly raised in actual criminal and civil trials, study 1 examined the 158 actual judges' decisions. In study 2, the decisions of 80 mock jury groups that consisted of college students were examined with similar scenarios. And individual decisions were examined in study 3 to compare with the group decisions in study 2. The decision processes of the actual judges and the mock jury groups alike were found to be influenced by "anchors". But the biases by the anchoring heuristic were more pronounced in the group decisions than in the decisions of the actual judges. With respect to framing effect, the actual judges were found to be resistant, while a small effect was found in the decisions of mock jury groups. Representative-ness biases weren't found in the decisions of both the actual judges and mock juries. The implications of the results for judicial systems were discussed.

• PNF and Movement
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• v.21 no.3
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• pp.345-356
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• 2023

Purpose: The aim of this study was to investigate the effects of physical therapy combined with a virtual reality (VR) game on pain, quality of life (QOL), engagement, and knee function in post-knee-surgery patients. Methods: Twenty-four patients who had undergone knee surgery four weeks or more before the study were recruited. Two withdrew from the study during the four-week experimental period, and a total of 22 patients were included in the final analysis. Routine physical therapy consisting of electrostimulation (10 min.) and therapeutic massage (10 min.) was the base intervention for all groups. The experimental group (n = 10) was additionally exposed to a VR game intervention, while the control group (n = 12) underwent an intervention involving similar motions as the experimental intervention but with no VR. The intervention for the experimental group used the game Rig Fit Adventure on Nintendo switch. Both groups underwent their respective interventions 3 times a week (35 min. per session) for 4 weeks. Pain was assessed using the numeric rating scale (NRS), and QOL was assessed using the EuroQol five-dimensional five-level questionnaire (EQ-5D-5L). Engagement was assessed using the Korea flow state scale (K-FSS). Finally, knee movement and function were assessed based on knee flexion and extension, range of motion (ROM), and Western Ontario and McMaster Universities Arthritis Index (WOMAC). Results: After the four-week physical therapy, both groups showed significant reductions in pain (on the NRS), increased knee ROM (flexion), better WOMAC scores, and increased EQ-5D-5L scores (p < 0.05), with the experimental group showing significantly better improvements in EQ-5D-5L and K-FSS scores (p < 0.05). Conclusion: The results of this study confirm that a VR-game-integrated intervention is effective for improving pain, QOL, engagement, and knee function in post-knee surgery patients and that VR-game-integrated interventions could be therapeutic alternatives for patients bedridden for prolonged periods with little motivation for rehabilitation.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1165-1172
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• 2023

Recently, Korea has declared carbon neutrality by 2050. The Korea Forest Service is promoting the precision and high technology of forest resource surveys. As such, the demand for forest resource management is increasing, and the need to build a digital twin of forest space is increasing. However, to date, digital twin has only built and provided virtual city services, which are city and nationwide digital twin environments. Three-dimensional digital twin services targeting forest space are not operated and provided. Therefore, in this study, we aimed to implement a forest digital twin environment to provide 3D forest spatial information services corresponding to vertical information such as tree-level height and thorax diameter. By lightweighting realistic 3D tree models and applying 3D Tiles, we confirmed the feasibility of implementing a forest digital twin environment for 3D forest spatial information services. Through continuous research, we plan to implement a forest digital twin that can deploy and service 3D tree models for trees nationwide, including street trees in urban areas. This is expected to enable the development of forest digital twin services for forest resource management.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.1
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• pp.57-68
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• 2023

With the technological development in the era of the 4th Industrial Revolution, technologies using HMD are being applied in various fields. HMD is especially useful in virtual reality fields such as AR/VR, and is very effective in receiving vivid impressions from users located in remote locations. According to these characteristics, the frequency of using HMD is increasing in the field related to collaboration. However, when HMD is applied to collaboration, communication between experts located in remote locations and workers located in the field is not smooth, causing various problems in terms of usability. In this paper, remote experts and workers in the field use HMD to solve various problems arising from collaboration, design/propose new types of HMD structures and functions that enable more efficient collaboration, and verify their usability using SUS evaluation techniques. As a result of the SUS evaluation, the new type of HMD structure and function proposed in this paper was 86.75points, which is believed to have greatly resolved the restrictions on collaboration and inconvenience in use of the existing HMD structure. In the future, when the HMD structure and design proposed in this paper are actually applied, it is expected that the application technology using HMD will expand rapidly.