Journal of Korean Home Economics Education Association
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v.32
no.2
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pp.99-115
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2020
The purpose of this study is to analyze the relationship between home economics curriculum and media literacy education. For this purpose, 12 kinds = types of learning materials for middle school 'Technology·Home Economics 2' textbooks were analyzed. After selecting 'Media Literacy Performance Goals(MLPG)' as the basis for analysis, the distribution of media data and reflection of MLPG were analyzed by frequency and content analysis. The results of this study are as follows. First, 39.6% of the learning materials using media materials out of the total learning materials of 12 textbooks, and there were differences in the frequency and weight of learning materials using media materials by publishers. Depending on the type of media, 68.3% of 'printing', 16.7% of 'images, video', 13.5% of 'digital', and 86.5% of the use of unidirectional media. Second, there was a difference in frequency and weight of learning materials reflecting the MLPG by publishers, and it was necessary to supplement the learning content to improve overall media literacy. Among the MLPG reflected in the learning materials, 'meaning and communication' was the most reflected performance goal, with 58.8%, but there was no two-way communication through the media. Based on the results of these textbook analysis, MLPG in Home Economics are revised as follows. 'Understanding the meaning and self-expression', 'Communication and social participation', 'Use of responsible media', 'Appreciation and enjoyment', 'Use of media technology', 'Information search and selection', 'Creation and production', 'Critical understanding and evaluation'.
The purpose of this study is to analyze the teaching behaviors and visual attention according to teacher's career in Elementary Science Inquire-based Class. Participants were four elementary school teachers in Seoul. They were all in grade 5 and taught science. According to the experience of elementary science education, two novice teachers and two expert teachers were identified. Participants taught Respiration in the 'Structure and Function of our Body' in the elementary science fifth grade. The mobile eye tracker used in this study is SMI's ETG 2w, which is a binocular tracking system. In addition, a video camera was installed behind the classroom to record the entire class. We recorded all the contents of the recorded video and analyzed the results. In this study, the actual practice time, participant's visual attention, and decentralized attention ability were analyzed by class phase. The results of the study are as follows. First, there was a difference between planned class time and actual practice time. The novice teachers were having difficulty in reconstructing the contents of education, and the expert teachers were reconstructing the curriculum and interacting with the students with high understanding and application of the curriculum. There were many differences between the novice teachers and the expert teachers in the tour guidance to confirm student activities. Second, if we look at the visual attention on the area related to teaching and learning by class phase, the novice teacher concentrates all the steps in a specific area, expert teachers showed an equal visual attention to meaningful areas of teaching and learning activities. Third, there was a statistically significant difference in activities 1-1, 1-2, 2-1, and 2-2 when the participants' decentralized attention ability. Expert teachers frequently checked students' understanding and interests. There was a lot of interaction with students. It is also shown through the decentralized attention ability that the novice teachers concentrate on a specific area, and the expert teachers have a high degree of decentralized attention ability and visual attention evenly.
Journal of The Korean Association of Information Education
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v.17
no.4
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pp.421-432
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2013
The purpose of this study is to develop contents and an instructional model that support children's dramatic play by integrating the robot and augmented reality technology. In order to support the dramatic play, the robot shows various facial expressions and actions, serves as a narrator and a sound manager, supports the simultaneous interaction by using the camera and recognizing the markers and children's motions, records children's activities as a photo and a video that can be used for further activities. The robot also uses a projector to allow children to directly interact with the video object. On the other hand, augmented reality offers a variety of character changes and props, and allows various effects of background and foreground. Also it allows natural interaction between the contents and children through the real-type interface, and provides the opportunities for the interaction between actors and audiences. Along with these, augmented reality provides an experience-based learning environment that induces a sensory immersion by allowing children to manipulate or choose the learning situation and experience the results. In addition, the instructional model supporting dramatic play consists of 4 stages(i.e., teachers' preparation, introducing and understanding a story, action plan and play, evaluation and wrapping up). At each stage, detailed activities to decide or proceed are suggested.
Kim, Seong Kyu;Choi, Woo Bin;Lee, Jong Se;Lee, Won Gok;Choi, Gun Oh;Bae, You Suk
KIPS Transactions on Software and Data Engineering
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v.11
no.6
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pp.255-266
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2022
The quality control of coarse aggregate among aggregates, which are the main ingredients of concrete, is currently carried out by SPC(Statistical Process Control) method through sampling. We construct a smart factory for manufacturing innovation by changing the quality control of coarse aggregates to inspect the coarse aggregates based on this image by acquired images through the camera instead of the current sieve analysis. First, obtained images were preprocessed, and HED(Hollistically-nested Edge Detection) which is the filter learned by deep learning segment each object. After analyzing each aggregate by image processing the segmentation result, fineness modulus and the aggregate shape rate are determined by analyzing result. The quality of aggregate obtained through the video was examined by calculate fineness modulus and aggregate shape rate and the accuracy of the algorithm was more than 90% accurate compared to that of aggregates through the sieve analysis. Furthermore, the aggregate shape rate could not be examined by conventional methods, but the content of this paper also allowed the measurement of the aggregate shape rate. For the aggregate shape rate, it was verified with the length of models, which showed a difference of ±4.5%. In the case of measuring the length of the aggregate, the algorithm result and actual length of the aggregate showed a ±6% difference. Analyzing the actual three-dimensional data in a two-dimensional video made a difference from the actual data, which requires further research.
When culture took large part in industrial area, every country has tried to utilize own cultural contents for educational or commercial purpose and the various cultures and histories are recognized as a main concept or subject so that a number of scholars who study history increase. In video game field, special characteristics of interface that audiences participate in the game to complete story-telling is considered as efficient material for learning process. As observed above, it is important to analyze the games that every country makes and export to the world in which the video games is understood as a play of human in general. This Paper has firstly analyzed the most favorite historical games developed in Korea, the USA, Japan, Taiwan and Germany from 1980 to 2005 and secondly, compared that wars and historical origin appears in game scenario, a world view and background story and finally after point out the preferable era and genre of the countries then propose the promising way of design for historical video games. In the process of analysis of a view and heroes in historical games, we compared the real persons, the real historical events and novel in which 11.8% only employed the real persons in 8 out of 68 games. Also the real history and background story are appeared in 37 games which is 54.4% of them. We discovered that the main material that is popular for each country is the historical backing rather than real persons where the favorite historical background is chosen at which they are proud of; 3-Throne era with strong ancient Gogurye for Korea, the 1st and 2nd World Wars and the Independence War for the USA, the tide of war around Middle age for Japan, ancient history of Europe for Germany. The favorite age for video games is Ancient times with 37 games for 54.4%, Middle Age with 7 games fer 10.3%, the prehistoric age with 5 games for 7.35%, remote age with 1 for 1.47%, while current historical games favor Ancient or Modern Age.
Currently, The Internet has been imported in many fields and it's development prompted accordingly. The field of education also has been developed as 'Learners Centered Environment' by combining the existing educational method, so called distance learning, with internet. Learners have become able to adopt the appropriate level of educational service anywhere and anytime they want. In this paper, we propose a EOD system based on SIP. The EOD system is a new conferencing type system in the distance learning field. Using SIP (Session Initial Protocol) for EOD system is more efficient than using H.323, also the more the number of its is increased, and as improvement of its QoS. The EOD system is scalable and provides conferencing service using SIP which suits with web environment. And, the EOD system supports multicast efficiently to utilize bandwidth of networks.
Detection of moving objects is a fundamental task in most of the computer vision applications, such as video surveillance, activity recognition and human motion analysis. This is a difficult task due to many challenges in realistic scenarios which include irregular motion in background, illumination changes, objects cast shadows, changes in scene geometry and noise, etc. In this paper, we propose an foreground extraction algorithm based on codebook, a database of information about background pixel obtained from input image sequence. Initially, we suppose a first frame as a background image and calculate difference between next input image and it to detect moving objects. The resulting difference image may contain noises as well as pure moving objects. Second, we investigate a codebook with color and brightness of a foreground pixel in the difference image. If it is matched, it is decided as a fault detected pixel and deleted from foreground. Finally, a background image is updated to process next input frame iteratively. Some pixels are estimated by input image if they are detected as background pixels. The others are duplicated from the previous background image. We apply out algorithm to PETS2009 data and compare the results with those of GMM and standard codebook algorithms.
The start of the Fourth Industrial Revolution has brought about various changes in the domestic industry in general, and smart factories have spread to companies in the fields of production, manufacturing and logistics, and they are using automation equipment. Especially in the field of logistics automation, AGVs are widely used, and most of them use the line guidance system, which is the traditional AGV drive system. In addition, the demand for AGV system developers, system operators and managers, and maintenance personnel is increasing, and the installation of systems for education is expensive and requires a large space to utilize. It is a situation where systematic education is difficult. In this paper, we propose a virtual simulation-based AGV distance education model for smooth practice of trainees. The proposed model consisted of a model that can drive the AGV by analyzing video information, instead of the line guidance method that is the conventional technology. As a result of self-diagnosis evaluation, it was confirmed that the experimental group through online education had an average satisfaction level of 0.65 higher than the control group using existing equipment, and that it could be used in an online education environment.
The Journal of Korean Academic Society of Nursing Education
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v.6
no.2
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pp.327-344
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2000
The purpose of this survey study is to guide the direction of the RN-BSN program in Korea by analyzing (1) the philosophy and objectives (2) curriculum (3) and appraisal method, achievement test and self-directed learning. In this study, subjects consisted of 20 department of nursing in University and 20 RN-BSN programs in Korea. The Survey was conducted from September 1999 through May 2000 by mail and FAX. 1) Educational philosophy and objectives of 5 RN-BSN programs have curricular based philosophy. Most popular philosophies were revealed that nursing is oriented role function, human relation, and integrated application. 9 RN-BSN programs have curricular based objectives. There are including of knowledge, applying the new technology, under-standing of human being family community, application of nursing process, leadership, nursing ethics, and participation in research. 2) In RN-BSN programs, total mean credits through general college courses for earning the degree of BSN is 21.5 and total mean credits through the nursing area for earning the degree of BSN is 71.4. In RN-BSN programs, total mean credits through clinical practice for earning the degree of BSN is 5.94. 25.00 of mean credits was earned through achievement test(6.00~37.00). Therefore, this research suggests some recommendation for the development of curriculum of RN-BSN program that was required to do some alterations. And the various and other methods of earning credit should be developed. That is, the students will earn credits, accredited examination of University, advanced placement examination, case study, self-report, self-directed learning and achievement tests, portfolio review session and so on. And the RN-BSN courses are delivered to many areas by teleconferencing system, computer network(EdNet or Internet etc), CD-ROM Title, VOD (video on demand) and other methods.
Journal of the Korea Institute of Information and Communication Engineering
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v.19
no.10
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pp.2380-2388
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2015
A hardware implementation of MOD(moving object detection) algorithm using EGML(effective Gaussian mixture learning)- based background subtraction to detect moving objects in video is described. Some approximations of EGML calculations are applied to reduce hardware complexity, and pipelining technique is adopted to improve operating speed. The MOD processor designed in Verilog-HDL has been verified by FPGA-in-the-loop verification using MATLAB/Simulink. The MOD processor has 2,218 slices on the Virtex5-XC5VSX95T FPGA device and its throughput is 102 MSamples/s at 102 MHz clock frequency. Evaluation results of the MOD processor for 12 images in the IEEE CDW-2012 dataset show that the average recall value is 0.7631, the average precision value is 0.7778 and the average F-measure value is 0.7535.
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