• Journal of The Korean Association For Science Education
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• v.12 no.3
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• pp.77-89
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• 1992

According to many previous researches on the students' physics conceptions, in spite of school science learning the students' preconceptions were either not changed or reinforced. Although many researchers argued that the presentation of conflict situations which can not be explained by the students' preconceptions is prerequisite to their conceptual changes, some other researchers argued that such a presentation could be useless. In this study, a model of students' conceptual change in physics, which encourages students to recognize actively the conflicting situations and to control the process of their conceptual changes, was developed. In this model, the critical discussion on rival concepts and the reflective thinking were regarded as two important factors for students' conceptual changes.

• Journal of Astronomy and Space Sciences
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• v.34 no.2
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• pp.153-159
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• 2017

The Standard Model of particle physics was established after discovery of the Higgs boson. However, little is known about dark matter, which has mass and constitutes approximately five times the number of standard model particles in space. The cross-section of dark matter is much smaller than that of the existing Standard Model, and the range of the predicted mass is wide, from a few eV to several PeV. Therefore, massive amounts of astronomical, accelerator, and simulation data are required to study dark matter, and efficient processing of these data is vital. Computational science, which can combine experiments, theory, and simulation, is thus necessary for dark matter research. A computational science and deep learning-based dark matter research platform is suggested for enhanced coverage and sharing of data. Such an approach can efficiently add to our existing knowledge on the mystery of dark matter.

• Journal of The Korean Association For Science Education
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• v.21 no.5
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• pp.906-923
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• 2001

This study investigated university students' (majoring physics education) understanding of some aspects of idealization frequently used in teaching and learning of physics, especially of mechanics. A total of 143 students were given a Questionnaire of six questions requiring written responses. Out of the six questions, the first three were concerned with basic idealized concepts, the next two with the making of the assumptions of ideal conditions for given problem settings, and the last with the identification of the idealization used in the given solution of a problem. Students' written responses were grouped into patterns and the relative frequencies of the patterns were counted. It was found that the students had limited understanding of the idealization and their ideas were diverse and frequently incorrect. The implications of the findings are discussed in relation to the roles of idealization in physics education.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.126-128
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• 2002

A learning system was built into an on-line, multi-institutional radiotherapy database, where the treatment history records and the results in each institution were integrated, each radiotherapy planning was supported, and it led to the improvement in treatment results.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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• pp.713-728
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• 2021

This paper proposes an augmented reality technique to generate acrobatic scenes from hitting motion videos. After a user shoots a motion that mimics hitting an object with hands or feet, their pose is analyzed using motion tracking with deep learning to track hand or foot movement while hitting the object. Hitting position and time are then extracted to generate the object's moving trajectory using physics optimization and synchronized with the video. The proposed method can create videos for hitting objects with feet, e.g. soccer ball lifting; fists, e.g. tap ball, etc. and is suitable for augmented reality applications to include virtual objects.

• Journal of The Korean Association For Science Education
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• v.27 no.2
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• pp.105-119
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• 2007

Several studies have attempted to test students' misconceptions of physics and to provide teaching strategies in order to repair them. The results from these studies have revealed that the diagnosis of students' misconception is crucial, although they often failed to grasp the practice of its implementation. In terms of being a type of methodology for science education, the Internet allows large-scale surveys and investigations to be carried out in a relatively short period of time. This paper reports the results of the development, implementation, and evaluation of a WEb-based SYStem for TEsting students' Misconceptions in physics (WEBSYSTEM) aimed at three groups (science educational researchers who study students' physics conceptions using the system as a detector, school science teachers who practice it as an instructional material, and students who benefit from it for their self-directed learning). The web-based testing system is based on a review of the instructional development strategies of ADDIE (Gustafson, Branch, 2002; Rha, Chung, 2001). Results showed that WEBSYSTEM could work effectively as a multi-purposed tool for the three target groups with a further partial revision, providing educational researchers with resourceful data to study students' misconceptions in physics. Issues of administrative strategies, reexamination of questionnaires, and international collaboration via WEBSYSTEM are discussed.

• Journal of the Korean Institute of Landscape Architecture
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• v.28 no.2
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• pp.49-60
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• 2000

The purpose of this study is to overview domestic and foreign trends in the study of the landscape evaluation through new framework of landscape evaluation studies. 108 studies on the landscape evaluation are summarized and categorized into theoretical studies, verification of theories, development of evaluation methods and applications in physical planning. Major theories in the landscape evaluation came from the psycho-physics, the evolutionary theory ann the cultural-learning theory, and were verified and applied into physical planning. Early experimental researches on landscape evaluation, based on psycho-physics, were focused on relatively simple responses to landscapes. But many studies have been gradually related to the evolutionary theory and the cultural learning theory, emphasizing biological and cultural effects on landscape evaluation. Especially, Appleton's Prospect-Refuge theory' and Kaplans' 'Information Processing model' have very strong influence in landscape evaluation. Relatively there have been many application researches in Korea, which tells there have been strong needs to solve pending practical problems caused by the rapid economic and social growth for several decades. Almost of applications in physical planning are focused on physical features of landscapes, but for more comprehensive landscape evaluation, many other factors such as cognitive and sociocultural variables should be integrated into the whole evaluation system. As a result of reviewing of landscape evaluation studies, I found the overall domestic and foreign trends and the necessity of more research on the applications in physical planning. Because this study mainly focused on academic researches, for more appropriate landscape evaluation and management there should be more practical researches including various approaches.

• Journal of The Korean Association For Science Education
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• v.14 no.3
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• pp.379-392
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• 1994

One of the historical origins of the modern science education was investigated in this paper. From the view point of the pansophistic educational philosophy which emphasized "man should teach completely all things to all mankind(Omnes, Omnia, omnino)", J.A.Comenius proposed in his book "Didactica magna"(1658) that 'physica' should be learned as one of the most important school subjects. He suggested the completion of human being as a wholeness of the universe could be achieved through the physics teaching. His ideas of science education was, however, directed not to the 'rational konwledge' about the natural world, but to the 'divine wisdom'. His main thoughts and influences on science education can be summarized as follows: 1) The human being as a God's image should know the divinely created nature, because the invisible God's existence can be sensorially recognized in the nature. 2) Physics or science should be regarded as more important objects than verbal learning in general school education. 3) The cognitive union between the words('representative' or 'das Dargestellte') and things('presentative' or 'das Dargebotene') can be achieved through the objects lesson ('Anschauungsunterricht') 4) The realistic and sensor-cognitive learning theory of the object lesson is yet very important especially in the science education of elementary school, even though the inquiry learning process has became more important in the last years. 5) The religious aspect of his idea could not satisfy the social needs of industrialization and the development of professonal technics in the 18 to 19th century.

• Journal of The Korean Astronomical Society
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• v.55 no.4
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• pp.131-138
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• 2022

We report the discovery of four quasars with M₁₄₅₀ ≳ -25.0 mag at z ~ 5 and supermassive black hole mass measurement for one of the quasars. They were selected as promising high-redshift quasar candidates via deep learning and Bayesian information criterion, which are expected to be effective in discriminating quasars from the late-type stars and high-redshift galaxies. The candidates were observed by the Double Spectrograph on the Palomar 200-inch Hale Telescope. They show clear Lyα breaks at about 7000-8000 Å, indicating they are quasars at 4.7 < z < 5.6. For HSC J233107-001014, we measure the mass of its supermassive black hole (SMBH) using its C _IV λ1549 emission line. The SMBH mass and Eddington ratio of the quasar are found to be ~10⁸ M_⊙ and ~0.6, respectively. This suggests that this quasar possibly harbors a fast growing SMBH near the Eddington limit despite its faintness (L_Bol < 10⁴⁶ erg s^-1). Our 100% quasar identification rate supports high efficiency of our deep learning and Bayesian information criterion selection method, which can be applied to future surveys to increase high-redshift quasar sample.

• Progress in Medical Physics
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• v.32 no.4
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• pp.172-178
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• 2021

Purpose: This study aimed to develop a deep learning architecture combining two task models to generate synthetic computed tomography (sCT) images from low-tesla magnetic resonance (MR) images to improve metallic marker visibility. Methods: Twenty-three patients with cervical cancer treated with intracavitary radiotherapy (ICR) were retrospectively enrolled, and images were acquired using both a computed tomography (CT) scanner and a low-tesla MR machine. The CT images were aligned to the corresponding MR images using a deformable registration, and the metallic dummy source markers were delineated using threshold-based segmentation followed by manual modification. The deformed CT (dCT), MR, and segmentation mask pairs were used for training and testing. The sCT generation model has a cascaded three-dimensional (3D) U-Net-based architecture that converts MR images to CT images and segments the metallic marker. The performance of the model was evaluated with intensity-based comparison metrics. Results: The proposed model with segmentation loss outperformed the 3D U-Net in terms of errors between the sCT and dCT. The structural similarity score difference was not significant. Conclusions: Our study shows the two-task-based deep learning models for generating the sCT images using low-tesla MR images for 3D ICR. This approach will be useful to the MR-only workflow in high-dose-rate brachytherapy.