• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.834-835
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• 2024

시장 경쟁력을 확보하고 기업을 성장시키기 위해서는 광고 행위가 필수적이므로 현재까지 효율적으로 광고하기 위한 여러 가지 방안들이 활용되었다. 이 중에는 타 업체와의 경쟁전략을 위해서 경쟁업체의 광고비를 파악하려는 과정도 포함 되어있다. 이에 디지털 광고 측면에서는 상대적으로 광고의 노출, 클릭, 시간 대 등의 관련 정보를 획득하기 용이하므로 본 연구에서는 대량의 데이터를 이용하고 XGBoost(Extreme Gradient Boosting) 알고리즘을 활용하여 크롤링된 데이터 그룹을 분석하고, 클릭 수를 예측하는 모델을 구현하였다. 실험 결과 모델의 RMSE(Root Mean Squared Error) Average 가 1.13 정도 나온 것을 확인하였고 이에 따른 과적합을 피하기 위한 방안을 검토하였다.

• Journal of KIBIM
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• v.13 no.4
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• pp.85-95
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• 2023

In the process of creating drawings based on Building Information Modeling (BIM), automatically generated annotations can cause interference issues depending on the drawing type. This study aims to develop an algorithm for repositioning annotations using genetic algorithms to minimize such interferences. To achieve this, the Application Programming Interface (API) of BIM software was used to analyze data extractable from BIM drawing files. The process involved defining drawing data related to annotation repositioning, preprocessing this data, and deriving optimal placement coordinates for the annotations. Furthermore, applying the developed algorithm to the preliminary design drawings of small and medium-sized neighborhood facilities resulted in approximately a 95.37% decrease in annotation interference, indicating that the proposed algorithm can significantly enhance productivity in BIM-based drawing tasks.

• Journal of The Korean Association For Science Education
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• v.33 no.2
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• pp.345-358
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• 2013

In this study, we investigated the current status of the teacher education curriculum and the recruitment of general science teachers, and the ways to improve them as suggested by Professors from the Department of Science Education. Most science education departments have not required double majors in general science, and there are wide differences in the number of students who take the general science programs. There is not any department that requires science courses other than its own science major courses when students get only their own in-depth science major certificate. A few departments provide integrated science courses such as history of science, scientific creativity, integrated science, and so forth. Most professors revealed negative perceptions toward 'a compulsory requirement of double majors in general science' with other in-depth science majors such as physics, chemistry, biology, and earth sciences. The majority of professors also suggested providing elective courses in integrated science-related subjects. Regarding general science majored teacher employment, most professors did not agree with separate employment for the general science teacher, although they agreed with the necessity of the general science teaching certificate. They also suggested that preservice teachers need to take science courses other than their own specialized science majors for the in-depth science teaching certificate. Based on the results, we suggested ways to improve the teacher education curriculum and the recruitment of general science teachers.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.247-254
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• 2021

The purpose of this study is to investigate the effects of action learning on the satisfaction of majors by cultivating task-solving ability through self-reflection in the form of team learning for a certain period of time in the form of team learning by using action learning for students taking convergence curriculum in universities. The subjects of the study were 40 students from the Department of Sports Rehabilitation, a convergence of the Department of Sports and Health Management and the Department of Physical Therapy located in Jeollanam-do. This was conducted to confirm the difference in the effect of satisfaction. Comparison of changes in groups of experimental groups with action learning teaching methods showed significant differences in self-directed learning skills, problem-solving skills, and major satisfaction(p<.001)(p<.05). A significant difference in self-directed learning ability, problem-solving ability, and major satisfaction was also shown in the comparison of changes in control groups that applied traditional teaching methods(p<.05). Comparison of changes between groups showed significant differences in self-directed learning skills, problem-solving skills and major satisfaction(p<.05). Applying the action learning teaching method to the level of students in the convergence course will improve self-directed learning skills, problem-solving skills, and major satisfaction, and further research will be needed to expand the target and add variables to combine qualitative research.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.265-267
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• 2018

4차 산업혁명은 2016년 스위스 다보스에서 열린 세계경제포럼(WEF)의 주요 이슈였다. 4차 산업혁명 시대에서 요구되는 IT융합 기술에는 사물인터넷 환경에서 모든 사물이 사이버 세계를 통하여 연결되어 정보를 수집하고 축적하며, 축적된 빅데이터를 기반으로 인공지능 알고리즘을 활용하는 기술 등이 필요하다. 이와 같은 IT융합 기술과 관련하여 4차 산업혁명 시대를 대비하여 산업체에서 필요한 실무적인 IT융합 인력 양성이 컴퓨터 관련학과의 주요 교육 내용으로 요구되고 있다. 이러한 시대적 상황에서 하나의 접근 방법으로 대두되는 것이 NCS 기반의 교육과정에 기반을 둔 IT융합 인력의 양성이다. 이 논문에서는 우리나라 산업체에서 요구하는 IT융합 인력 양성을 위하여 컴퓨터과학 전공을 위한 NCS 교육과정을 제시하고 분석한다.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.5
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• pp.155-162
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• 2021

n-step TD learning is a combination of Monte Carlo method and one-step TD learning. If appropriate n is selected, n-step TD learning is known as an algorithm that performs better than Monte Carlo method and 1-step TD learning, but it is difficult to select the best values of n. In order to solve the difficulty of selecting the values of n in n-step TD learning, in this paper, using the characteristic that overestimation of Q can improve the performance of initial learning and that all n-step returns have similar values for Q ≈ Q^*, we propose a new learning target, which is composed of the maximum and the mean of all k-step returns for 1 ≤ k ≤ n. Finally, in OpenAI Gym's Atari game environment, we compare the proposed algorithm with n-step TD learning and proved that the proposed algorithm is superior to n-step TD learning algorithm.

• Journal of the Korea institute for structural maintenance and inspection
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• v.25 no.6
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• pp.199-208
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• 2021

The extrudability of 3D printed concrete and its member strength can be highly influenced by water cement ratio (W/C) and printing time gap (PTG). In this study, mold cast specimens and 3D printed specimens were fabricated with variables of W/C ratio and PTG, and their shear bond strength and interlayer surface moisture content were measured and analyzed. The test results showed that the shear bond strength is greatly influenced by the amount of interlayer surface moisture. It is thus recommended that proper amount of interlayer surface moisture with respect to PTG needs to be maintained to have a required interlayer shear bond strength. In addition, further research is required to estimate the effect of many environmental factors that can influence the interlayer surface moisture content.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.345-354
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• 2018

The purpose of this study was to investigate the structural relationship between advertising attributes, advertising attitude, brand image, and purchase intention of sports brand on SNS. For this purpose, 250 valid samples from the convenience sampling method were used as the final analysis data. Entertainment, information, and credibility among ad attributes had a positive effect on SNS users' advertisement attitude toward sport brands, and irritation has a negative effect on ad attitude. The ad attitude formed by the advertising attributes positively affected the image of the sports brand and the purchase intention. Brand image had a positive effect on purchase intention. The results of this study may be helpful to maximize SNS advertising effect of sports brands and to identify some important factors that can affect direct purchasing behavior of sports majors, one of the target groups of companies promoting sports brands using SNS.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.179-192
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• 2018

The purpose of this study is to research the design solutions that should be taken into consideration when developing mobile applications of Mindfulness Training. We aim to provide basic UI / UX design guidances for being effectiveness of mobile application of Mindfulness Training. For this purpose, We research in various aspects. Base on this, We select an approach and apply the application screen prototypes. We suggest some points for to be considered in the development of UI / IX design for mobile applications for Mindfulness Training based on obtained knowledge through this research process.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.217-225
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• 2019

The Latent Growth Modeling(LGM) is known as the typical analysis method of longitudinal data and it could be classified into unconditional model and conditional model. It is common to assume that the growth trajectory of unconditional model of LGM is linear. In the case of quasi-linear, the methodology for improving the model fitness using Sequential Pattern of Association Rule Mining is suggested. To do this, we divide longitudinal data into quintiles and extract periodic changes of the longitudinal data in each quintiles and make sequential pattern based on this periodic changes. To evaluate the effectiveness, the LGM module in SPSS AMOS was used and the dataset of the Youth Panel from 2001 to 2006 of Korea Employment Information Service. Our methodology was able to increase the fitness of the model compared to the simple linear growth trajectory.