• Journal of Broadcast Engineering
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• v.11 no.4 s.33
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• pp.507-520
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• 2006

In this paper, we propose an application of OpenGL functions for novel view synthesis from multi-view images and depth maps. While image based rendering has been meant to generate synthetic images by processing the camera view with a graphic engine, little has been known about how to apply the given images and depth information to the graphic engine and render the scene. This paper presents an efficient way of constructing a 3D space with camera parameters, reconstructing the 3D scene with color and depth images, and synthesizing virtual views in real-time as well as their depth images.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.44 no.7 s.361
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• pp.53-58
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• 2007

OFDM (orthogonal frequency division multiplexing) is an effective modulation technique for high speed transmission over fading channels. However, it has a high bit error rate in the receiver if there is an error on frame synchronization because of phase rotation. A coherent OFDM system has to acquire exact timing synchronization of fraction and integer sampling positions. When a sampling offset exist the performance of a receiver will be degraded severely. In this paper, we propose an algorithm that acquires the fractional sampling offset in OFDM systems. This scheme compares the channel impulse responses with the early and late sampled signals having 0.5 sample offset from the estimated sampling positions by correlation with the received and training samples. Its performance is verified by computer simulations in multipath channels.

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.208-216
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• 2020

This study investigates major contributing factors that determine the marital stability among the disabled women in South Korea. Data collected from 124 women with disabilities were analyzed for this purpose. Multiple regression analysis was used to explore the determinants of the marital instability among the participants. The multiple regression analysis revealed that age, welfare receipt, health condition, depression, marital intimacy, marital satisfaction, marital conflicts and drinking problems were statistically significant predictors to the extent of marital stability among the disabled women in the total model. Based on the study results, several implications such as development of programs to improve marital stability of women with disabilities were discussed.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.303-303
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• 2018

안정적인 수자원 운용을 위해서는 정확한 유량예측 기술이 필요하다. 본 연구에서는 유량예측 정확도의 개선을 위해 베이지안 추론(Bayesian inference) 기법과 앙상블 유량 예측(Ensemble Streamflow Prediction, ESP) 기법의 결합을 통한 새로운 유량예측 기법(Bayesian ESP)을 제안하였다. ESP를 통한 유량 예보 앙상블은 베이지안 추론의 사전정보로 활용되며, 관측 유량과 ESP 전망 결과의 선형관계를 통해 우도함수가 추정된다. 우도함수는 관측 유량이 존재하는 과거 기간에 대한 ESP를 수행한 후 예보 시점의 관측 유량(concurrent observed flow)과 선행 관측 유량(lagged observed flow)과의 다중선형회귀 모형을 통해 추정된다. 사전정보와 우도함수는 정규분포로 가정되며, 따라서 최종 유량예측인 사후정보 역시 정규분포함수로 산정되게 된다. Bayesian ESP은 ESP에서 발생하는 강우-유출모형 오차의 개선을 통해 수문예측의 정확도를 개선하게 되며 정규분포함수로 최종 결과가 산정되므로 확률예보 형태의 수문 전망도 가능하다. 본 기법을 전국 35개 댐 유역에 시범적용을 한 결과, 모든 유역에서 기존 ESP 기법 대비 수문예측 정확도의 개선을 가져왔으며, 우도함수 추정에 있어 선행 유량의 포함 여부가 수문 예측 정확도의 추가적인 개선을 가져왔다. 본 기법은 주간 예보부터 계절 예보까지 탄력적으로 구축이 가능하며 적용 결과 리드 타임이 길어질수록 예측 능력이 감소되었지만 전체 구간에 있어서 Bayesian ESP 기법이 가장 우수한 예측 정확도를 보여주었다.

• Journal of the Korea Computer Graphics Society
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• v.27 no.3
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• pp.25-29
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• 2021

초박형 라이트필드 카메라 시스템은 이미지 센서 위에 렌즈 어레이를 부착하는 방식으로 만들어진다. 이러한 초박형 라이트필드 카메라는 하나의 이미지 센서를 여러 개의 sub-aperture가 나눠쓰는 방식으로 되어있어 개별 이미지의 분해능이 낮으며, sub-aperture 이미지들을 융합해 추가적인 분해능 향상이 수행되어야 한다. 본 연구에서는 초박형 라이트필드 카메라 시스템을 개발했으며, 개발된 카메라 시스템을 위한 실시간 분해능 향상 알고리즘을 개발, 실험을 통해 검증했다. 개발된 초박형 라이트필드 카메라는 두께 2mm, 24개(6×4)의 551×551 해상도의 sub-aperture로 구성되어 있으며, 임베디드 컴퓨팅 보드를 사용해 휴대가 가능하도록 제작되었다. 실시간 분해능 향상 알고리즘은 임베디드 컴퓨팅 보드의 GPU에서 병렬처리를 통해 라플라시안 피라미드 기반의 이미지 융합 알고리즘을 수행한다. 실험을 통해 검증한 결과로, 개발 시스템은 MTF50값이 평균 35% 정도 개선되었으며, 10.65fps의 처리속도로 실시간 처리가 가능함을 확인했다.

• Journal of the Korea Computer Graphics Society
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• v.29 no.3
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• pp.13-19
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• 2023

카메라 센서의 한계로 인하여 촬영 장면에 따라 한 번의 촬영으로 모든 영역의 밝기가 적절하게 촬영되지 않는 경우가 존재한다. 이러한 센서의 한계는 하이 다이나믹 레인지 이미징 기술을 통해서 극복이 가능하다. 한 장면을 다양한 노출 설정으로 여러 번 촬영하는 브라케팅은 움직이는 피사체를 찍기에 적절하지 않으며 촬영 시간이 길다는 단점이 있다. 본 연구는 한 번의 촬영으로 서로 다른 노출의 이미지를 얻을 수 있는 소형 라이트필드 카메라를 제안한다. 라이트필드 카메라는 대표적으로 두 가지 형태가 있는데, 첫 번째는 여러 대의 카메라를 어레이로 배치한 라이트필드 카메라 시스템이며, 두 번째는 대물렌즈 뒤에 마이크로 렌즈 어레이를 배치한 카메라이다. 본 연구에서 제작된 초박형 라이트필드 카메라는 센서 위에 마이크로 렌즈어레이가 부착되어있는 형태의 카메라로 각 렌즈 조리개 크기를 다르게 설계하여 한 번의 촬영으로 다른 노출의 촬영 결과를 얻을 수 있게 설계되었다. 촬영된 단일 영상들을 전처리 하여 이미지 품질을 높인 이후, HDR 알고리즘을 통해 각 단일 이미지들보다 다이나믹 레인지가 넓은 이미지를 획득하도록 구현하였다. 또한 노출 시간을 기준으로 설계된 식을 수정하여 조리개값에 따라 다른 가중치를 둘 수 있도록 바꾸었고, 이를 통해 단 한 번의 촬영을 통한 HDR 이미징을 구현하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.661-664
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• 2023

이 프로젝트의 목표는 공유 공간에서의 고객 이용 시간 관리를 향상하기 위해 라즈베리 파이와 센서 기술을 활용한 자동 시간 체크 시스템의 개발입니다. 이 시스템은 로드셀, 진동 감지 센서, 그리고 LiDAR 센서, 이 세 가지 센서를 활용해 의자에서 사용자의 존재 여부를 감지하고, 사람과 물건을 구별하며, 사용자가 의자에서 일어나는 시점을 파악합니다. 특히, 고객이 의자에 앉게 되면 시스템이 자동으로 시간을 체크하여 실시간으로 이용 시간을 측정하게 됩니다. 이렇게 수집된 정보는 웹 기반의 사용자 인터페이스를 통해 제공되어, 이용 시간 관리가 보다 편리해집니다.

• Korean Journal of Culture and Social Issue
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• v.28 no.2
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• pp.187-217
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• 2022

The aim of this study is to examine the psychometric properties of the Korean version of the Post-traumatic Stress Disorder Checklist for DSM-5(PCL-5). For this purpose, online surveys were conducted for two times with a one year interval using the data from 1,077 Korean adults at time 1, and 563 Korean adults at time 2. First, from the result of the confirmatory factor analysis, comparing the model fit of the 1, 4, 6, and 7-factor model, the 4, 6, and 7-factor model showed a acceptable fit, and the best fit was seen in the order of the 7, 6, 4-factor model. Second, the internal consistency, omega coefficient, construct validity, average variance extracted, and test-retest reliability results were all satisfactory.. Third, a correlation analysis with the K-PC-PTSD-5 and the sub-factors of BSI-18 was conducted to check the validity of the Korean Version of PCL-5. As a result, a positive correlation was seen with both K-PC-PTSD-5 and BSI-18. Fourth, a hierarchical multiple regression was performed to examine whether the Korean Version of PCL-5 predicts future PTSD, depression, anxiety, and somatization. As a result, the Korean Version of PCL-5 measured at time 1 significantly predicted PTSD, depression, anxiety, and somatization symptoms at time 2. Fifth, by analyzing the ROC curve, the discriminant power of PCL-5 for screening PTSD symptom groups was confirmed, and the best cut-off score was suggested. As a result of the longitudinal validation of Korean version of PCL-5, it was found that this scale is a reliable and valid measure for Korean adults. By looking into the predictive validity of the scale, it was found that the Korean version of PCL-5 can predict not only PTSD symptoms but also PTSD-related symptoms such as depression, anxiety, and somatization. Also, this study differs from previous validation studies measuring PTSD symptoms in that it suggested a cut-off score to help differentiate PTSD symptom groups.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.9
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• pp.351-360
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• 2018

The LWR (Locally Weighted Regression) model, which is traditionally a lazy learning model, is designed to obtain the solution of the prediction according to the input variable, the query point, and it is a kind of the regression equation in the short interval obtained as a result of the learning that gives a higher weight value closer to the query point. We study on an incremental ensemble learning approach for LWR, a form of lazy learning and memory-based learning. The proposed incremental ensemble learning method of LWR is to sequentially generate and integrate LWR models over time using a genetic algorithm to obtain a solution of a specific query point. The weaknesses of existing LWR models are that multiple LWR models can be generated based on the indicator function and data sample selection, and the quality of the predictions can also vary depending on this model. However, no research has been conducted to solve the problem of selection or combination of multiple LWR models. In this study, after generating the initial LWR model according to the indicator function and the sample data set, we iterate evolution learning process to obtain the proper indicator function and assess the LWR models applied to the other sample data sets to overcome the data set bias. We adopt Eager learning method to generate and store LWR model gradually when data is generated for all sections. In order to obtain a prediction solution at a specific point in time, an LWR model is generated based on newly generated data within a predetermined interval and then combined with existing LWR models in a section using a genetic algorithm. The proposed method shows better results than the method of selecting multiple LWR models using the simple average method. The results of this study are compared with the predicted results using multiple regression analysis by applying the real data such as the amount of traffic per hour in a specific area and hourly sales of a resting place of the highway, etc.

• Cartoon and Animation Studies
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• s.41
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• pp.279-306
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• 2015

This paper is a study of the changing nature of software for virtual Cyborg self and the virtual body that occur in the game from a philosophical point of view. Looking broadly, the cyborg concept refers to the combination of man and machine. Specifically, there is a hardware cyborg organism to combine human and restoration of machine In addition, there is software cyborg by electronic the human brain of converting a virtual body. Virtual games are cases software-Cyborg applied. In the game , There seems to have characteristics of virtual body and ego that different from general cyborg meaning. To analyze the features, I applied the concept of software-cyborg of Hans morabek and the multiple selves in cyberspace properties of Kim Sun-Hee. generally, software cyborg cloning the brain type tended to invalidate the body due to the nature of the virtual world. But If you look at third-person's view and the game character that made from real actors, it is pursuing the realism of photographic images and it stressed the need for a virtual body in order to maintain the psychological identity of the player. And, The game player crosses the eight characters to choose while completing the mission. This is a big role in the reality ego leads to the desired final ending with the selection and experience to be experienced as self-replication to multiple. These cyber multi-ego looks for an active and positive features compared to the multi-ego in the real world and highlights the advantages of the software cyborg. Game The characteristics of the final result varies depending on the selection of the player. The life and death of a friend is determined by the relationship between the characters friendship. In this case, the virtual self is empirically through trial and error, moral, and try to select the desired setting the standard for intuitive and self own choice. Also It can be fused to the knowledge of multiple selves as one step is formed by a high spiritual introspection. This process is a positive interpretation of the world and their own forms of mental reflection through self-overcoming human, Nietzsche is said that the process is Wibeomenswi.