• Journal of The Korean Association For Science Education
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• v.27 no.9
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• pp.809-817
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• 2007

The purpose of this research was to investigate the nature of the science views of science teachers and high school students as well as the views expressed in 10th grade science textbooks. The subjects were a high school science teacher, 18 male students and 11 female students in a 10th grade class located in Gyeongbuk Province, Korea. The data were analyzed in terms of three main categories of the nature of the science: the definition of science, the development of science, and the method of science. In the results, it was found that the textbook had an inductivism point of view, and that the teacher had a falsificationism point of view in terms of the definition of science. However, the teacher presented the inductive point of view of the textbook in the class. After the class, the students showed an inductive point of view. In terms of scientific development, the textbook represented a relativism point of view briefly, and the viewpoint of the teacher also expressed relativism. The teacher taught briefly from the relativism point of view, as in the textbook. The viewpoints of the students were inductivism and were not affected by the textbook or the explanations of the teacher. In terms of scientific methods, the viewpoints of the textbook and the teacher were falsificationism, and the teacher represented falsificationism views in her classes. The views of the students also showed falsificationism after their classes. However, before conclusions can be made, it is necessary to find concrete proof of the teaching effect on the viewpoints of the students in continuing research.

• Journal of KIISE:Software and Applications
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• v.31 no.2
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• pp.189-202
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• 2004

In this paper, we propose a new salient region detection method in an image. The algorithm is based on the characteristics of human's bottom-up visual attention. Several features known to influence human visual attention like color, intensity and etc. are extracted from the each regions of an image. These features are then converted to importance values for each region using its local competition function and are combined to produce a saliency map, which represents the saliency at every location in the image by a scalar quantity, and guides the selection of attended locations, based on the spatial distribution of saliency region of the image in relation to its Perceptual importance. Results shown indicate that the calculated Saliency Maps correlate well with human perception of visually important regions.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.580-583
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• 2010

본 논문에서는 동영상을 대상으로 하는 시각 주의 탐색에 대한 새로운 시스템에 대하여 설명한다. 제안하는 시스템은 기존의 공간 주의 모델에 새로운 시간 특징 추출 모듈을 추가함으로써 색상 및 명암, 형태, 방위와 같은 공간 특징 외에 움직임과 같은 시간 특징을 추가로 사용한 시각주의 탐색 모델이다. 기존 시스템과 가장 큰 차이점으로 공간 특징의 가중치 결합 방법과 움직임 특징 추출방법, 공간과 시간 특징 간 결합방법에 있다. 시스템의 성능평가를 위하여 다양한 환경의 영상을 대상으로 실험하였고 제안하는 시스템은 영상에서 사람이 시각적으로 중요하게 인지하는 영역과 부합되는 결과를 보였다.

• Korean journal of communication and information
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• v.19
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• pp.295-327
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• 2002

Deliberative democracy places its great importance on the theory that the citizens should fill the role of conducting the principles of democratic society. This is divided into two main theoretical trends in modern political theories, a liberal theory advocated by J. Rawls and a critical one emphasized by J. Habermas. Mutual understanding between two scholars focuses on the responsibility of citizens; citizens should be the reflective persons who can accept the terms of just communication going beyond the preference of individual belief. It is not denied that the discussions of deliberative democracy guided by both Rawls and Habermas do not place emphasis upon mass media. Even though they seldom regard the argument how the current media can be a essential factor in encouraging deliberative democracy, they never close the eyes to the significance of communication. Rawls stresses the political freedom of speech as the very condition which leads to the citizens' autonomous participation in politics, while Habermas places his hope on the role of mass media that would amplify the citizens' will gushed out in public sphere.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.49 no.1
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• pp.94-102
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• 2012

Recently entered into an aging socity as the number of elderly drivers is increasing. Traffic accidents of elderly drivers are caused by driver inattentions such as poor vehicle control due to aging, visual information retrieval problems caused by presbyopia, and objects identifying problems caused by low contrast sensitivity. In this paper, detection method of ROIs on the road is proposed. The proposed method creates the saliency map to detect the candidate ROIs from the input image. And, the input image is segmented to obtain the ROIs boundary. Finally, selective visual attention regions are detected according to the presence or absence of a segmented region with saliency pixels. Experimental results from a variety of outdoor environmental conditions, the proposed method presented a fast object detection and a high detection rate.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.439-448
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• 2021

Driver negligence accounts for the largest proportion of the causes of traffic accidents, and research to detect them is continuously being conducted. This paper proposes a method to accurately detect a distracted driver and localize the most characteristic parts of the driver. The proposed method hierarchically constructs a CNN basic model that classifies 10 classes based on CAM in order to detect driver distration and 4 subclass models for detailed classification of classes having a confusing or common feature area in this model. The classification result output from each model can be considered as a new feature indicating the degree of matching with the CNN feature maps, and the accuracy of classification is improved by horizontally combining and learning them. In addition, by combining the heat map results reflecting the classification results of the basic and detailed classification models, the characteristic areas of attention in the image are found. The proposed method obtained an accuracy of 95.14% in an experiment using the State Farm data set, which is 2.94% higher than the 92.2%, which is the highest accuracy among the results using this data set. Also, it was confirmed by the experiment that more meaningful and accurate attention areas were found than the results of the attention area found when only the basic model was used.

• Korean Journal of Childcare and Education
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• v.10 no.6
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• pp.223-241
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• 2014

The objective of this study was to plan a direction for the connection of the area of inquiry in daily life between infants and young children in Korea based on the analysis of the early learning standards for infants aged 0~2, and young children aged 3~4/5 in 17 different states in America. The problem of the study is as follows: What is the content area of cognitive development, science and mathematics of early learning standards regarding age? The data used in this study was collected from a total of 17 states in America in which 12 states classify infants and young children as aged 0~2 and 3~4/5 respectively and 5 states do not classify the age groups. The results obtained from the analysis of the given issues are as follows. First, in the case of the five states that showed the group aged 0~4/5, the contents related to the area of inquiry in daily life of the early learning standards were included in the mathematics and science and a part of these contents were also included in cognitive developments. In the case of the 12 states that classified the groups aged 0~2 and 3~4/5 respectively, the group aged 0~2 included cognitive developments and the group aged 3~4/5 includes mathematics and science. Second, the contents related to the area of inquiry in daily life of the early learning standards in the five states that showed the single group aged 0~4/5 include the contents in order of scientific idea, biology, physics, and the earth and space. In the 12 states that classify different age groups. Third, in the case of the states that separate age groups, the group aged 0~2 include the contents of number and operation, geometry and space while the group aged 3~4/5 include the contents of number and operations, geometry and space, and measurement. The implications of this study was that it is necessary to take into account the linking between development and characteristics of the subjects.

• Proceedings of the KAIS Fall Conference
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• 2012.05b
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• pp.486-489
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• 2012

본 논문에서는 인간의 주의시각(Human Visual Attention)에 기반하여 영상에서 가장 유용하다고 생각되는 관심 영역(Salient Region)을 새로운 방식으로 탐지해내고 관심-객체를 검출하는 방법을 제안한다. 제안하는 시스템은 인간의 주의시각 특성인 주파수와 명도, 색상 특징을 이용하는데, 먼저 주파수-명도 정보를 이용한 특징 지도(Feature map)와 색상 정보를 이용한 특징 지도를 각각 생성 한 후 영상의 특징 점(Saliency Point)을 추출한다. 이렇게 생성된 특징 지도와 특징 점을 이용하여 집중 윈도우의 위치와 크기를 결정하고 집중 윈도우 내에 특징 지도를 결합하여 관심 영역을 탐지하고 해당하는 영역에 대해 관심-객체를 추출한다.

• Journal of the Korean School Mathematics Society
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• v.13 no.3
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• pp.415-442
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• 2010

If the philosophy of the curriculum is changed when the curriculum is revised, discussion about knowledge viewpoints in the changed philosophy is needed. The purpose of this thesis is to analyze elementary mathematics textbooks(EMT) based on the perspective of constructivism knowledge as basic philosophy of the 7th curriculum and the 2007 revised curriculum and to present aim of textbooks development through the results. According to the results, the number and operation units of 1st and 2nd grades of EMT compiled according to the 7th curriculum and the 2007 revised curriculum didn't reflect the perspective of constructivism knowledge as the philosophy of the curriculum. From the analysis, EMT were not composed so as to agree the perspective of constructivism knowledge that emphasize concepts, conceptua1 principles, variety, integration.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.2
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• pp.85-90
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• 2021

A ADAS(Advanced Driver Assistance System) for the safe driving is an important area in autonumous car. Specially, a ADAS software using an image sensors attached in previous car is low in building cost, and utilizes for various purpose. A algorithm for detecting the break-lamp from the tail-lamp of preceding vehicle is proposed in this paper. This method can perceive the driving condition of preceding vehicle. Proposed method uses the YOLO techinicque that has a excellent performance in object tracing from real scene, and extracts the intensity variable region of break-lamp from HSV image of detected vehicle ROI(Region Of Interest). After detecting the candidate region of break-lamp, each isolated region is labeled. The break-lamp region is detected finally by using the proposed selective-attention model that percieves the shape-similarity of labeled candidate region. In order to evaluate the performance of the preceding vehicle break-lamp detection system implemented in this paper, we applied our system to the various driving images. As a results, implemented system showed successful results.