• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.831-835
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• 2006

Motion capture means the recording of movement of objects such as human beings, animals, creatures, machines, etc in a form applicable to computer. Since the motion capture system can be introduced to the fields where realistic movement of human beings and animals, which cannot be attained with an existing key frame method is required, large scale is necessary or economical burden exists, it has a merit and possibility of new expression. For these reasons, this method is increasingly used in the field of digital entertainment such as movie, TV, advertisement, documentary, music video, etc centering around the game. However, in spite of such an advantage, problems such as too much advance preparation work in digital image expressions using motion capture, marker attachment, compensation of motion data, motion retargeting and lack of professional human resources, etc. are becoming a prominent figure. Accordingly, this study intends to suggest the way of more effective production of motion capture digital image through finding the problems and their draft possible solutions in the production process based on the image production examples using motion capture.

• Journal of Korean Ophthalmic Optics Society
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• v.5 no.1
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• pp.101-105
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• 2000

This study was to investigate the effect of EEG wave type on visual cortex of visual target according to position of fixation point on the Korean. Visual evoked potential system used the BIO-Pag and recorded to 586 computer. The illumination was 500 lux and the visual target was red light dot of 3 cm size. The results of the convergence and divergence as follows: The visual stimulation waves on the visual cortex have about 70% of delta wave, about 10% of beta wave, about 9% of theta wave and about 7% of alpha wave respectively. The convergence state was much more appeared the fast wave on the comparative of the divergence. Therefore, the convergence state was much more producted the beta and alpha wave on the comparative of the divergence. On the other hand, on the convergence and divergence, the histogram amplitude of EEG wave appeared almost the non-Gaussian shape. According to the phase analysis of amplitude of EEG wave almost all type was linear shape.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.3
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• pp.591-597
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• 2012

Medical device performance has been advanced while images are expected to be acquired with further higher quality and pertinent applicability as images have been increasing in importance in analyzing major organs. Recent high frequency of image processing by MATLAB in image analysis area accounts for the intent of this study to segment pulmonary vessels by means of MATLAB. This study is to consist of 3 phases including pulmonary region segmentation, pulmonary vessel segmentation and three dimensional connectivity assessment, in which vessel was segmented, using threshold level, from the pulmonary region segmented, vessel thickness was measured as two dimensional refining process and three dimensional connectivity was assessed as three dimensional refining process. It is expected that MATLAB-based image processing should contribute to diversity and reliability of medical image processing and that the study results may lay a foundation for chest CT images-related researches.

• Journal of Korean Ophthalmic Optics Society
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• v.7 no.1
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• pp.51-55
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• 2002

This study was to investigate the effect of EEG wave type of visual cortex on conjugate movement of eyeball according to movement of visual target. Visual evoked potential(VEP) system used the Bio-Pag(production in USA) and recorded to 586 computer. The illumination of test room was 50lux and the visual target was red light dot of 3cm size. The results of dextroversion and levoversion as follows : The visual stimulation waves on the visual cortex have about 71% of delta wave, about 12% of beta wave, about 9% theta wave and about 6% of alpha wave respectively. The dextroversion and levoversion state was similar results on the histogram amplitude of EEG wave, frequency of EEG wave type, EEG wave style and phase diagram of amplitude. Expecially the histogram amplitude of EEG wave appeared almost the Gaussian shape and the phase analysis of amplitude of EEG wave was nearly linear shape. On the fast fourier transform of the amplitude and Hz, the frequency was almost low frequency under 20 Hz, and the dextroversion and levoversion shape was similar results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.1B
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• pp.31-38
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• 2012

In this paper, we propose a method to improve cell edge users' performance in HetNet (heterogeneous network) systems by cooperatively transmitting signals using remote radio heads (RRHs) located near coverage boundaries, referred to as edge RRHs. The proposed method locates the edge RRHs in specific locations of the cell boundary and provides an efficient operational strategy by adjusting the duty cycle of the edge RRHs and base stations. The effectiveness of the method is demonstrated by experimental performance based on the system model parameters of the CoMP (coordinated multi-point transmission and reception) scenario, which is discussed in LTE-Advanced (Long Term Evolution - Advanced) standard contributions. When compared with conventional methods, utilization of edge RRHs is especially advantageous for the performance improvement of lower percentile users in terms of average throughput and effectively improves the fairness among users.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.305-305
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• 2019

태풍에 의한 재해는 우리나라에서 발생하는 자연재해 중 발생빈도가 가장 높은 것으로 나타나며, 최근 들어 태풍 및 집중호우로 인한 홍수가 급증하고 있는 실정이다. 최근에는 치수증대사업으로 하천 범람의 재해가 감소하는 추세이지만, 도시지역의 경우 도시개발에 따른 내수 범람 피해가 증가하고 있고, 산지에서는 토석류 등의 토사 재해가 증가하고 있다. 이러한 홍수피해를 경감하기 위해서는 치수사업 등과 같은 구조적인 대책도 필요하지만, 정확한 홍수 예 경보를 통한 대비시간의 확보 등과 같은 비구조적인 대책도 중요하며, 홍수 예 경보를 통한 선행시간(Lead time)확보를 위해 강우 및 홍수예측 시스템 구축이 하나의 대안으로 대두되고 있다. 강우예측 기법으로는 레이더(Radar)를 통해 관측된 자료를 외삽하는 초단기 강우예측기법이 최근까지 많이 수행되어 왔다. 하지만 컴퓨터 계산 능력이 향상되면서 수치예보(Numerical Weather Prediction; NWP) 모델을 이용한 강우예측 및 수문학적 적용에 관한 연구들이 대두되고 있다. 본 연구에서는 수치예보모델을 이용하여 기상 및 수자원 간의 연계를 통한 강우 및 홍수 예측에 활용방안을 검토하기 위해 한국 기상청에서 제공하는 국지예보모델(LDAPS)과 예측 도메인에 한국을 포함하는 일본 기상청의 중규모 모델(MSM)을 이용하여 남강댐 유역 내 산청 유역에 대해 강우 및 홍수 예측 정확도를 평가하고 비교 검토하였다. 본 연구에서 적용한 LDAPS와 MSM은 사용하는 수치모델, 물리과정 매개변수, 자료동화 기법 및 지배 방정식 등이 다르기 때문에 직접적인 비교를 하는데 무리가 있지만 국내의 강우 및 홍수 예측 분야에서의 각 수치예보모델의 활용성을 검토하고자 한다.

• Journal of the Korean Society of Radiology
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• v.12 no.7
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• pp.919-927
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• 2018

The purpose of this study was to present simulation training model for general X-ray examinations and to analyze the errors that occur during the simulation training. From 2012 to 2018, a total of 183 students (77 men and 106 women) participated. The simulated X-ray system used computed radiography (CR) system. The contents of simulation training were patient's care, X-ray examinations accuracy, images stability, etc. As a result, it were found that the patient's position setting error, the accuracy error of the X-ray beam central ray, the image receptor's size and setting error, the error of the grid use, the marking error, and the error of X-ray exposure technical factors. It is expected that improved practical general X-ray examinations training of radiographer will be needed, focusing on these errors, so that we could contribute to the health care of the people by providing precise examinations and high quality medical service.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.6
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• pp.1105-1114
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• 2021

Due to the recent surge in popularity of cryptocurrency, the threat of cryptojacking, a malicious code for mining cryptocurrencies, is increasing. In particular, web-based cryptojacking is easy to attack because the victim can mine cryptocurrencies using the victim's PC resources just by accessing the website and simply adding mining scripts. The cryptojacking attack causes poor performance and malfunction. It can also cause hardware failure due to overheating and aging caused by mining. Cryptojacking is difficult for victims to recognize the damage, so research is needed to efficiently detect and block cryptojacking. In this work, we take representative distinct symptoms of cryptojacking as an indicator and propose a new architecture. We utilized the K-Nearst Neighbors(KNN) model, which trained computer performance indicators as behavior-based dynamic analysis techniques. In addition, a K-means model, which trained the frequency of malicious script words for script similarity-based static analysis techniques, was utilized. The KNN model had 99.6% accuracy, and the K-means model had a silhouette coefficient of 0.61 for normal clusters.

• Journal of Creative Information Culture
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• v.5 no.3
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• pp.245-253
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• 2019

To evaluate the achievements of the Solar School Project that has been implemented in twelve African countries since 2013, a case study was implemented in Kenya and in Uganda to investigate networking activities, student accessibility to computers, the frequency of student computer use, the extent to which teaching quality was improved by the enhanced accessibility to ICT-based teaching and learning practices. The results showed the followings. First, Solar Schools have significantly improved the rates of enrollment, transferring, and school attendance. Second, Solar Schools have organized local and invitational training programs to build the capacities of teachers. Third, Solar Schools have facilitated change in neighboring schools and local communities. Fourth, the participants are required to have a clear vision, take ownership of the project, and make a commitment to continuing their individual efforts toward empowerment.

• Journal of the Korean School Mathematics Society
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• v.26 no.1
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• pp.1-19
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• 2023

This study analyzed the international trends of research concerning artificial intelligence in education by examining 352 papers recently published in the International Journal of Artificial Intelligence in Education(IJAIED) with the topic modeling method. The IJAIED is the official, SCOPUS-indexed journal of the International AIED Society. The analysis revealed that international AIED research trends could be categorized into eight topics with topics such as analyzing student behavior model in learning systems and designing feedback to student solutions being increased over time, whereas research focusing on data handling methods was decreased over time. Based on the findings implications and suggestions for the research and development of the applications of AIED were provided.