• Radiation Oncology Journal
• /
• v.7 no.2
• /
• pp.185-188
• /
• 1989

Radiation treatment results were analyzed in a retrospective analysis of 47 patients with pituitary adenoma treated with radiation alone or combined with surgery from 1974 through 1987 at the Department of Therapeutic Radiology of Kyung Hee University. The 5-year overall survival rates for all patients was $80.4\%$ Radiation therapy was effective for improving visual symptoms and headache, but could not normalize amenorrhea and galactorrhea. There was no difference of survival rate between radiation alone and combination with surgery. Prognostic factors such as age, sex, disease type, visual field, headache and surgical treatment were statistically no significant in survival rates of these patients.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2016.05a
• /
• pp.325-325
• /
• 2016

산업화 이후 연안지역을 중심으로 공업지역 등의 조성으로 많은 개발이 진행되어 왔다. 개발된 지역은 불투수 면적이 증가하고 연안지역의 특성상 하천으로 인한 수자원 공급과 더불어 지하수 이용량이 상대적으로 높게 나타나고 있다. 또한 기후온난화로 인해 해수면이 상승하고 있어 해수 침투는 점점 가속화되고 있다. 연안지역의 공업지대는 수자원 공급뿐만 아니라 해수침투로 인한 피해가 갈수록 증가할 것으로 보인다. 최근 해수침투에 대한 피해 방지를 위해 인공 주입 및 함양, 지하댐 등을 통해 지하수자원 관리에 대한 연구가 활발히 진행되고 있다. 이에 본 연구에서는 지하수자원 관리 기법 중 지하댐을 설치하여 해수침투를 방지하고 지하수자원을 확보하고자 한다. Visual MODFLOW를 이용하여 포항지역을 대상으로 지하댐을 적용한다. 지하댐의 설치 방법에 대해서도 다양한 시나리오를 이용하여 효과 분석을 실시한다. 이를 이용하여 지속가능한 지하수자원 관리를 도모하고자 한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.37 no.5
• /
• pp.343-350
• /
• 2019

Map labels are the most recognizable map elements using the human visual system because they are essentially a natural language. In this study, an experiment was conducted using an eye-tracker to objectively record and analyze the response of subjects regarding visual attention to map labels. A primary building object was identified by analyzing visit counts, average visit duration, fixation counts, and the average fixation duration of a subject's gaze for an area of interest acquired using the eye-tracker. The unmarked rate of map labels in Google map, Naver map, and Daum map was calculated. As a result, this rate exceeded fifty-one percent, with the lowest rate recorded for Google map. It is expected that the results of this study will contribute to an increase in the diversity of research in terms of the spatial cognition approach for map labels, which is more helpful to users than the existing body of work on methods of expression for labels.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.8
• /
• pp.53-59
• /
• 2015

Noise from the surrounding environment, building structures and machine equipment have significant effects on daily life. Many solutions to this problem have been suggested by analyzing causes of noise generated from particular locations in general buildings or machine equipment and detecting defects of buildings or equipment. Therefore, this paper suggests a visualization technique of sounds by using the microphone array to measure sound sources from machines and perform the visual machine condition monitoring (VMCM). By analyzing sound signals and presenting effective sound visualization methods, it can be applied to identify machine's conditions and correct errors through real-time monitoring and visualization of noise generated from the plant machine equipment.

• Journal of Surface Science and Engineering
• /
• v.54 no.2
• /
• pp.84-89
• /
• 2021

The visual inspection method is widely used for corrosion damage analysis of steel plate due to the cost-efficient, fast and reasonably accurate results. However, visual inspection of corrosion deteriorated degree has a problem that the reliability of results differs depending on the inspector's individual knowledge and experience. In this study, we evaluated the degree of corrosion from a given image by using image segmentation method based on the grabcut and HSV(Hue, Saturation, Value) color image processing techniques for the development of an automatic inspection tool. The code written in Python based OpenCV-python libraries was used to categorize the images.

• Clinical Psychopharmacology and Neuroscience
• /
• v.16 no.4
• /
• pp.489-493
• /
• 2018

Objective: This study was to identify whether working memory (WM) can be clearly subdivided according to auditory and visual modality. To do this, we administered the most recent and universal clinical WM measures in a mixed psychiatric sample. Methods: A total of 115 patients were diagnosed on the basis of DSM-IV diagnostic criteria and with MINI-Plus 5.0, a structured diagnostic interview. WM subtests of Korean version of Wechsler Adult Intelligence Scale-IV and Korean version of Wechsler Memory Scale-IV were administered to assess WM. Confirmatory factor analysis (CFA) was used to observe whether WM measures fit better to a one-factor or two-factor model. Results: CFA results demonstrated that a two factor model fits the data better than one-factor model as expected. Conclusion: Our study supports a modality model of WM, or the existence of modality-specific WM systems, and thus poses a clinical significance of assessing both auditory and visual WM tests.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.15 no.3
• /
• pp.15-28
• /
• 2019

Artificial intelligence is evolving rapidly in the ICT field, smart convergence media system and content industry through the fourth industrial revolution, and it is evolving very rapidly through Big Data. In this paper, we propose a face recognition method based on object recognition based on object recognition through artificial intelligence. In this method, Were experimented and studied through the object recognition technique of artificial intelligence. In the conventional 3D image field, general research on object recognition has been carried out variously, and researches have been conducted on the side effects of visual fatigue and dizziness through 3D image. However, in this study, we tried to solve the problem caused by the quantitative difference between object recognition and object recognition for human factor algorithm that measure visual fatigue through cognitive function, morphological analysis and object recognition. Especially, The new method of computer interaction is presented and the results are shown through experiments.

• Psychiatry investigation
• /
• v.15 no.12
• /
• pp.1154-1161
• /
• 2018

Objective The present study aimed to investigate relationship among cognitive factors (working memory and processing speed) and fluid reasoning (Gf) in psychiatric patients using a standardized clinical tool. Methods We included the responses of 115 heterogeneous patients who were diagnosed with the MINI-Plus 5.0 and WAIS-IV/WMS-IV was administered. For our analysis, structured equation modeling (SEM) was conducted to evaluate which cognitive variables are closely related to the Gf. Results The results showed that the visual working memory was the strongest predictor of the Gf compared to other cognitive factors. Conclusion Processing speed was capable of predicting the Gf, when visual working memory was controlled. The inter-relationship among the Gf and other cognitive factors and its clinical implications were further discussed.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.2
• /
• pp.337-339
• /
• 2020

Speed-run is a gameplay style in what the player tries to finish the game as quickly as possible. The purpose of this study is to observe and analyze the difference between a normal player and a speed runner in a speed run to better understand their interaction with the game and to extrapolate the applications of the analyzed frameworks to scenarios that extent normal gameplay. For this purpose, MDA (Mechanic, Dynamic, Aesthetics) and DPE (Experience, Design, Play) were used. As a result, the average player was found to focus on aesthetics or affects while the speed runner focused on mechanics and gameplay.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.8 no.2
• /
• pp.13-26
• /
• 1998

시각암호는 비밀화상을 share라 불리는 암호화된 형태로 분산하는 방법으로서n명의 참여자로 이루어진 잡합 p에 대하여, 각 참여자는 share로 구성된 슬라이드(transparency)를 한장씩 부여받는다. 참여자들의 인가된 부분집합은 슬라이드를 중첩시켜 시각적으로 비밀정보를 복원할 수 있지만, 다른 부분집합은 비밀 정보를 복원 할 수 없다. 이 방법은 비밀정보를 복원라기 위하여 인간의 시각 체계를 이용하므로 컴퓨터를 사용한 복잡한 연산이 필요 없는 이점이 있는 반면에 복원화상의 휘도가 손실되는 단점이 있다. 이논문에서는 참여자의 계층화를 고려한 (2, n) VCS(Visual Cryptography Scheme)를 구성하기 위한 새로운 모델을 제안하고 계층적 접근구조에 의해 휘도를 개선하는 방법을 보인다. 제안하는 방법의 효율을 평가하기 위하여 (2, n) VC로 재구성되는 화상의 휘도를 분석한다. 또한 그 응용으로서 한 장의 슬라이드로 사용자와 시스템 사이에 상호식별이 가능한 메카니즘을 제시한다.