• Journal of Broadcast Engineering
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• v.21 no.2
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• pp.180-191
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• 2016

When up-scaling algorithms for visible light images are applied to infrared (IR) images, they rarely work because IR images are usually blurred. In order to solve such a problem, this paper proposes an up-scaling algorithm for IR images. We employ adaptive dynamic range encoding (ADRC) as a simple classifier based on the observation that IR images have weak details. Also, since human visual systems are more sensitive to edges, our algorithm focuses on edges. Then, we add pre-processing in learning phase. As a result, we can improve visibility of IR images without increasing computational cost. Comparing with Anchored neighborhood regression (A+), the proposed algorithm provides better results. In terms of just noticeable blur, the proposed algorithm shows higher values by 0.0201 than the A+, respectively.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.19-26
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• 2020

This paper proposes a framework for creating acrobatic scenes such as soccer ball lifting using various users' videos. The proposed method can generate a desired result within a few seconds using a general video of user recorded with a mobile phone. The framework of this paper is largely divided into three parts. The first is to analyze the posture by receiving the user's video. To do this, the user can calculate the pose of the user by analyzing the video using a deep learning technique, and track the movement of a selected body part. The second is to analyze the movement trajectory of the selected body part and calculate the location and time of hitting the object. Finally, the trajectory of the object is generated using the analyzed hitting information. Then, a natural object lifting scenes synchronized with the input user's video can be generated. Physical-based optimization was used to generate a realistic moving object. Using the method of this paper, we can produce various augmented reality applications.

• Hwankyungkyoyuk
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• v.23 no.1
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• pp.99-111
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• 2010

The purpose of this study was to investigate high school students' perceptions of biotechnology. Participants in this study were 9th and 10th grade students who were enrolled in high schools in Gyeonggi Province. The survey instrument used in this study was a 26-item questionnaire that was designed to measure students' perceptions regarding biotechnology. The study revealed that students' perceptions were positive toward the use of biotechnology on biological objects such as plant, grain and microbes. However, their perceptions were negative toward the use of biotechnology on humans and animals. Male students' perceptions were more positive than female students and there were significant differences between male and female students(p<.01). The study also revealed that male and female students had positive perceptions about the use of biotechnology in the development of beneficial products. However, male students' perceptions were more positive than female students(p<.01). Female students' perceptions were slightly more negative than males and they indicated a measure of caution in the development of beneficial products using biotechnology. Regarding the reliability of biotechnological information acquired from food companies, TV broadcasters, and entertainers, male and female students tended to be highly negative. Students perceived that environmental, religious and ethical issues did not affect the use of biotechnology when asked the effect of these factors on the use of biotechnology. They perceived that food safety and genetic factors of microbes did affect the use of biotechnology. Thus, the study findings suggest that teaching and learning strategies based on the differences of perceptions between male and female students of this study be established and the use of media, development of teaching method and materials be promoted in order to enhance student's performance in environmental education.

• The Journal of Korean Association of Computer Education
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• v.12 no.3
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• pp.75-83
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• 2009

Moving picture has become the important media in education with expanded e-learning paradigm, but Korea Educational Metadata has limitation about representing information of lots of events and objects in moving picture. Announcing the MPEG-7 specification the information of lots of events and objects in it can be presented in terms of semantic and structural description of moving pictures. In this paper moving picture searching system model that integrates two metadata specifications, such as KEM and MPEG-7, is proposed. In this model one ontology to combine two metadata specifications is designed, and the other ontology about knowledge of a subject matter is added to search efficiently in searching system. As some moving picture data from Edunet were selected and stored in our server, our prototype of searching system using MPEG-7 and KEM shows the results that we are expected.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.317-322
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• 2020

The purpose of this study is to lay the groundwork for the operation method for correctly operating remote lectures at universities. Among the universities that started non-face-to-face classes due to 'COVID-19', college students and graduate students from some universities who conducted remote lectures through Cisco's Webex meeting were studied on how to operate the remote lecture platform. First, the requirements for lectures for remote lectures were established through the literature survey, and effective operation measures were proposed through the survey. The research method was conducted on a total of 45 college and graduate students from April 21 to May 15, 2020. The results of the study showed that the operation plan for the basic and meeting elements. Based on this study, we expect it to be used in disaster situations or classes that may occur after COVID-19. In the future, the usability evaluation of the remote class platform and the direction in which the domestic remote lecture platform should move should be presented.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.2
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• pp.349-356
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• 2020

This paper introduces the implementation of a driver's condition warning system using eye aspect ratio to prevent a car accident. The proposed driver's condition warning system using eye aspect ratio consists of a camera, that is required to detect eyes, the Raspberrypie that processes information on eyes from the camera, buzzer and vibrator, that are required to warn the driver. In order to detect and recognize driver's eyes, the histogram of oriented gradients and face landmark estimation based on deep-learning are used. Initially the system calculates the eye aspect ratio of the driver from 6 coordinates around the eye and then gets each eye aspect ratio values when the eyes are opened and closed. These two different eye aspect ratio values are used to calculate the threshold value that is necessary to determine the eye state. Because the threshold value is adaptively determined according to the driver's eye aspect ratio, the system can use the optimal threshold value to determine the driver's condition. In addition, the system synthesizes an input image from the gray-scaled and LAB model images to operate in low lighting conditions.

• Journal of Korean Academy of Nursing
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• v.38 no.3
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• pp.393-402
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• 2008

Purpose: The purpose of this study was to evaluate the effect of an On-line health promotion program connected with a hospital health examination center. Methods: Based on contents developed, the www.kmwellbeing.comhomepagewas developed. The research design was a one group pretest-posttest design. Seventy-three clients participated in this study. The data were collected from January 3 to June 30, 2005. As a way of utilizing the homepage, this paper attempted to measure the change of pre and post program health promotion behavior and health status (perceived health status, objective health index-blood pressure, pulse, total cholesterol, blood sugar, waist flexibility, grip strength and lower extremity strength). Data were analyzed by descriptive statistics and paired t-test with the SPSS/Win 12.0 program. Results: There were significant differences of perceived health status, systolic BP, waist flexibility and grip strength. However, there were no significant differences in health promotion behavior, diastolic BP, pulse, lower extremity strength, blood sugar and total cholesterol between pre program and post program. Conclusion: It is expected that an on-line health promotion program connected with a hospital health examination center will provide an effective learning media for health education and partially contribute to client's health promotion. A strategy, however, is needed to facilitate the continuous use of the on-line health promotion program for adult clients.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.1-10
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• 2018

This study is to seek to find the importance of next digital marketing factors by using AHP method and analyze comparison between an advertising expert and a non-advertising expert. In results, the relative importance ranking is as follows; combination (0.26), transformation (0.259), optimization (0.243), and technology (0.238). The relative importance ranking of sub-factors is as follows: artificial intelligence and maching learning (0.086), big data (0.085), and contents curation (0.060). While the relative importance of combination and optimization for an advertising expert is higher than for non-advertising expert, the relative importance of transformation and technology for non-advertising is higher than for an advertising expert. This study provides managerial implication to build digital strategy based on these result.

• Journal of the Korean Society of Earth Science Education
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• v.9 no.1
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• pp.27-38
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• 2016

Through the systematic analysis on articles about the environment in newspapers, the news reports were considered as effective materials, so after being reconstructed, they were used as learning materials in a lesson on environment contamination which is newly introduced in Earth Science I from the 2009 curriculum revision. To examine students' attitude toward science, before and after NIE application to the students, Test of Science Related Attitudes(TOSRA) as a test tool was carried out which was composed of 7 categories - four optional questionnaires for each category, 28 in total were used. The result was as follows: in a pretest, based upon the average scores by factors the factors ranked from the highest to the lowest as follows: the social meaning of science, the acceptance of the scientific attitude, the commonness of a scientist, the attitude to scientific exploration, the pleasure in science class, the vocational interest in science, the concern over science as a hobby, and in posttest, their ranking as follows: the acceptance of the scientific attitude, the pleasure in science class, the commonness of a scientist, the social meaning of science, the attitude to scientific exploration, the vocational interest in science, the concern over science as a hobby. Also they were all statistically significant at a significant level p<0.05. However, the test revealed that there were some negative effects on the social meaning of science and the attitude to scientific exploration and therefore it is judged that in order to overcome those influences, some bright articles about solving the environment contamination should be applied to the lessons and be complemented effectively by experiments and various media: NIE as well as science magazines, data from Internet search and treatises on science.

• Review of Culture and Economy
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• v.21 no.2
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• pp.111-139
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• 2018

This study is about classical music lovers who write a lengthy concert review on instagram. The intention and objective of writing a review is discussed in addition to inter-communication between those reviewers. For the analysis, an interview with 8 reviewers are mainly analyzed with their reviews. As a result, it is found that some affordances of Instagram, easiness, randomness, and friendliness affects them to use Instagram more than other social media. Hence, since Instagram is image-based platform, it helps writers to keep their reviews from getting an attention by other users. Because of their sense of inferiority that they are lacking in classical music knowledge, continuous writing and reading of reviews help them accumulating some amount of cultural capital needed for understanding classical music in a proper way.