• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.307-310
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• 2021

X-ray 영상 검사·검출 문제에 기존 딥러닝 모델을 사용하려는 시도들이 존재해왔고, 합성곱 신경망의 강력한 표현력 덕분에 대체로 준수한 성능이 보장되었다. 그러나 문제의 특성에 따라 기대한 만큼의 분류 및 검출 성능이 나오지 않는 경우가 존재한다. 이는 1) 검출 대상의 스케일이 다양하거나, 2) X-ray 영상은 흑백 영상으로 미세한 특징을 학습하기 어렵거나, 3) 지도학습을 하기에는 학습 데이터의 양이 부족하기 때문인 것이 주요 원인들이다. 본 논문에서는 다양한 스케일의 특징맵을 추출하여 종합적으로 학습하는 신경망을 통해, '생선살 X-ray 영상' 데이터셋에서 '생선 가시' 이물질 class가 모델 내에서 어떻게 학습되는지를 살펴본다. 그리고 X-ray 영상의 경우, 이물질 class를 크기별로 새롭게 labeling하여 성능 개선이 일어날 수 있음을 보인다. 또한 Multi-scale CAM을 통해 class에 따른 활성화 정도를 시각화하여 모델을 직관적으로 분석할 수 있음을 보일 것이다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.187-195
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• 2018

In this study, using real-time gaze tracking and head tracking method, we intended to quantitatively evaluate the deviation between the patient's head and gaze direction while minimizing inspection errors due to apraxia of conventional paper-based examination respectively. As a result, we developed a software that can quantitatively measure gaze and head movement information, and computerized the line bisection and star cancelation test, which are generally used as conventional paper test. In addition, for the rehabilitation training, contents corresponding to the visual technology of Warren's visual hierarchical model lower level are implemented and can be performed repetitively and independently. This allows the patient to actively participate in rehabilitation and quantitatively compare the degree of improvement.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.334-336
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• 2006

본 논문에서는 웹 문서로부터 정보를 추출찰기 위한 목적의 일환으로 HTML 테이블의 논리적인 구조를 추출하여 XML 문서로 변환하는 효율적인 방법을 제안한다. 제안된 방법은 영역구문과 구조분석의 두 단계로 구성된다. 영역구분 단계에서는 테이블의 잡음영역을 제거하고 정규화한 후 시각적 및 의미적 일관성 검사를 통하여 테이블에 존재하는 속성 및 값 영역을 구분한다. 또한 구조분석 단계에서는 구분된 영역에 제안된 테이블 모델을 적용하여 계층구조를 추출하며, 이로부터 XML 문서를 생성한다. 제안된 영역구분 방법의 성능을 평가하기 위하여 1,180개의 테이블을 대상으로 실험한 결과, 평균적으로 86.7%의 정확률을 보여 기존 연구보다 우수하였다.

• KIISE Transactions on Computing Practices
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• v.21 no.6
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• pp.393-402
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• 2015

Human resources are one of the most essential elements of an organization. In particular, the more closed a group is, the higher the value each member has. Previous studies have focused on personal attributes of individual, such as medical history, and have depended upon self-diagnosis to manage structures. However, this method has weak points, such as the timeconsuming process required, the potential for concealment, and non-disclosure of participants' mental states, as this method depends on self-diagnosis through extensive questionnaires or interviews, which is solved in an interactive way. It also suffers from another problem in that relations among people are difficult to express. In this paper, we propose a multi-faced diagnosis model based on social network analysis which overcomes former weaknesses. Our approach has the following steps : First, we reveal the states of those in a social network through 9 questions. Next, we diagnose the social network to find out specific individuals such as victims or leaders using the proposed algorithm. Experimental results demonstrated our model achieved 0.62 precision rate and identified specific people who are not revealed by the existing methods.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.1
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• pp.62-75
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• 2022

In this study, experiential STEAM program using 3D printer was produced focusing on the content elements of 'solar' in the 2015 revised science curriculum, and in order to find out the effectiveness of the STEAM program, analyzed creative problem solving, STEAM attitude, and STEAM satisfaction by applying it to two middle school 77 students simple random sampled. The results of this study are as follows. First, a solar tactile model was produced using a 3D printer, and a program was developed to enable students to actively learn experience-oriented activities through visual impairment experiences. Second, in the response sample t-test by the difference in pre- and post-score of STEAM attitude tests, significant statistical test results were shown in 'interest', 'consideration', 'self-concept', 'self-efficacy', and 'science and engineering career choice' sub-factors except 'consideration' and 'usefulness / value recognition' sub-factors (p<.05). Third,, the STEAM satisfaction test conducted after the application of the 3D printer-based STEAM program showed that the average value range of sub-factors were 3.66~3.97, which improved students' understanding and interest in science subjects through the 3D printer-based STEAM program.

• Journal of Educational Research in Mathematics
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• v.13 no.2
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• pp.107-122
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• 2003

The present study aims at theoretically reviewing studies en the need of alignments among assessment, curriculum and instruction in order to implement the goals of mathematics education. This paper discusses about issues and models fer alignment between instruction and curriculum, and then mainly focuses on alignment of assessment with instruction and curriculum at two levels, classroom and large-scale assessment. It was pointed out that both many published standardized tests for large-scale assessment and classroom assessments failed to meet curricular goals and contents, and instructional methods. The findings imply that reform in mathematics education should not be driven by assessment, but be embedded in instructional practices.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.2
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• pp.182-190
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• 2003

For temporal relations of interactive media such as MPEG-4, it is necessary for a temporal model that can update dynamically presentation time and temporal relations among objects by user events occurring during playback. Also, 811hough the temporal attributes are changed by user events, the validity of scene must be maintained. In this paper, we propose a temporal model that supports user interaction and developed an MPES-4 contents authoring system applying this model. We define the temporal relations of MPEG-4 that tan be authored and user interactions that can change the temporal properties. This authoring system defines the constraints on temporal relations and events and can generate the scene without error by checking the constraints. Also it provides the authoring environment to author visual]y temporal relations and events in MPEG-4 scene and generates the MPEG-4 stream by encoding the authored scene.

• Journal of The Korean Association For Science Education
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• v.41 no.5
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• pp.371-390
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• 2021

The purpose of this study is to develop a neuropsychological model for the spatial ability factor and to divide the brain active area involved in the light & shadow problem solving process into the domain-general ability and the domain-specific ability based on the neuropsychological model. Twenty-four male college students participated in the study to measure the synchronized eye movement and electroencephalograms (EEG) while they performed the spatial ability test and the light & shadow tasks. Neuropsychological model for the spatial ability factor and light & shadow problem solving process was developed by integrating the measurements of the participants' eye movements, brain activity areas, and the interview findings regarding their thoughts and strategies. The results of this study are as follows; first, the spatial visualization and mental rotation factors mainly required activation of the parietal lobe, and the spatial orientation factor required activation of the frontal lobe. Second, in the light & shadow problem solving process, participants use both their spatial ability as a domain-general thought, and the application of scientific principles as a domain-specific thought. The brain activity patterns resulting from a participants' inferring the shadow by parallel light source and inferring the shadow when the direction of the light changed were similar to the neuropsychological model for the spatial visualization factor. The brain activity pattern from inferring an object from its shadow by light from multiple directions was similar to the neuropsychological model for the spatial orientation factor. The brain activity pattern from inferring a shadow with a point source of light was similar to the neuropsychological model for the spatial visualization factor. In addition, when solving the light & shadow tasks, the brain's middle temporal gyrus, precentral gyrus, inferior frontal gyrus, middle frontal gyrus were additionally activated, which are responsible for deductive reasoning, working memory, and planning for action.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.113-120
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• 2018

Angiography and CT angiography are used widely for the examination of vascular diseases, but the diagnosis of such diseases is made mostly by the subjective judgment of the inspector. This paper proposes a method for detecting the suspicious regions of stenosis and aneurysm in the inner surfaces of 3D blood vessel models reconstructed from medical images. Initially, the 3D curve-skeletons of the blood vessel models and the contours at the nodes of the curve-skeletons were generated. Next, the 3D curve-skeletons were divided into a set of branches and the areas of normal contours of nodes located in each branch were calculated. The nodes whose contours contain suspicious regions were detected by taking into account the average area, maximum and minimum areas, and the area difference between the adjacent normal contours. The diagnosis of stenosis and aneurysm can be supported by properly visualizing the suspicious regions detected. The suspicious regions of the disease were identified by implementing and testing it using several data sets of human blood vessels, highlighting the usefulness of the proposed method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.4045-4052
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• 2012

The aim of this single blind intervation study was to compare the analgesic effects of transcutaneous electrical nerve stimulation (TENS) and interferential currents (IFC) on cold-induced pain in healthy volunteers. Sixteen subjects completed six cycles of the cold-induced pain test. During each cycle pain threshold was recorded as the time from immersion of the subject is hand in cold water to the first sensation of pain and pain intensity and unpleasantness ratings were recorded using visual analogue scales. Subjects were randomly allocated to receive each 50 Hz-TENS, 50 Hz-IFC, 100 Hz-TENS and 100 Hz-IFC. Statistical analysis showed that four interventions elevated the cold pain threshold significantly and the difference between interventions was not simply significant. But, no significant differences were identified in pain intensity and unpleasantness ratings. We conclude that there were no differences in the analgesic effects of the four interventions under the present experimental conditions. But, 50 Hz-IFC has been shown to be more comfortable than other interventions.