• KEPCO Journal on Electric Power and Energy
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• v.5 no.3
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• pp.149-156
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• 2019

In the field of maintenance of power transmission lines, drones have been used for their patrol and inspection by KEPCO since 2017. This drone technology was originally developed by KEPCO Research Institute, and now workers from four regional offices of KEPCO have directly applied this technology to the drone patrol and inspection tasks. In the drone inspection system, a drone with an optical zooming camera and a thermal camera can fly automatically along the transmission lines by the ground control system developed by KEPCO Research Institute, but its camera gimbal has been remotely controlled by a field worker. Especially the drone patrol and inspection has been mainly applied for the transmission lines in the inaccessible areas such as regions with river-crossings, sea-crossings and mountains. There are often communication disruptions between the drone and its remote controller in such extreme fields of mountain areas with many barriers. This problem may cause the camera gimbal be out of control, even though the inspection drone flies along the flight path well. In addition, interference with the reception of real-time transmitted videos makes the field worker unable to operate it. To solve these problems, we have developed the auto-tracking camera gimbal system with deep learning method. The camera gimbal can track the transmission line automatically, even when the transmitted video on a remote controller is intermittently unavailable. To show the effectiveness of our camera gimbal system, its field test results will be presented in this paper.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.2
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• pp.109-118
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• 2014

The purpose of this study was to compare the effectiveness of rehabilitation therapy with natural recovery in patients who had dysphagia due to stroke. Swallowing functions were examined on a total of 98 patients with stroke-caused dysphagia based on a videofluoroscopic swallowing study (VFSS) for 8 weeks. The each group was evaluated with DOSS, DSS and FOSS to assess swallowing ability in the first week and re-evaluated in the $8^{th}$ week during the session for investigating the recovery status. The author compared the above initial data and follow-up data using a Mann-Whitney U test, Kruskal-Wallis test and Wilcoxon's Signed Rank test, ANCOVA to confirm statistically controlling for the effects of other continuous variables, performed by IBM SPSS Statistics 20.0 for windows. There was statistically significant recovery in the experimental group except measure of DOSS (p>0.05). In the control group, it showed improvement in all the scales(p<0.05). After terminating each session, the comparison of the two group of patients showed statistical significant differences in DSS and FOSS(p<0.05). These results suggest that possibility of natural neurologic recovery has positive effects on early stage of dysphagia caused by stroke.

• Journal of the Korean Applied Science and Technology
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• v.38 no.2
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• pp.389-398
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• 2021

The purpose of this study is aimed to analyze the changes in major commitment and satisfaction of the 1^st and 2^nd grades university students in health-related departments through the application of un-contact lecture during COVID-19 pandemic. Study subjects were a total of 181 students in the 1^st and 2^nd grades in health-related departments. They participated in the un-contact lectures for 15 weeks through COVID-19 pandemic and the lectures consisted of real-time online lectures and the lectures using video contents based on the guidelines of Ministry of Education. Assessment of major commitment was performed using the major commitment scale and the major satisfaction was performed using the major satisfaction scale. As the results, the statistically significant decrease of major commitment and satisfaction showed after the application of un-contact lectures. Based on these, the application of un-contact lectures acts the students to decrease major commitment and satisfaction. Therefore, in the application of un-contact lectures, appropriate consideration should be needed for the increase of major commitment and satisfaction of 1^st and 2^nd grades university students in health-related departments.

• Journal of the Korea Computer Graphics Society
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• v.27 no.3
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• pp.65-74
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• 2021

3D reconstruction means that reconstructing the 3D shape of the object in an image and a video. We proposed a progressive occupancy network architecture that can recover not only the overall shape of the object but also the local details. Unlike the original occupancy network, which uses a feature vector embedding information of the whole image, we extract and utilize the different levels of image features depending on the receptive field size. We also propose a novel network architecture that applies the image features sequentially to the decoder blocks in the decoder and improves the quality of the reconstructed 3D shape progressively. In addition, we design a novel decoder block structure that combines the different levels of image features properly and uses them for updating the input point feature. We trained our progressive occupancy network with ShapeNet. We compare its representation power with two prior methods, including prior occupancy network(ONet) and the recent work(DISN) that used different levels of image features like ours. From the perspective of evaluation metrics, our network shows better performance than ONet for all the metrics, and it achieved a little better or a compatible score with DISN. For visualization results, we found that our method successfully reconstructs the local details that ONet misses. Also, compare with DISN that fails to reconstruct the thin parts or occluded parts of the object, our progressive occupancy network successfully catches the parts. These results validate the usefulness of the proposed network architecture.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.63-71
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• 2020

In this paper, we propose a fire detection technology using YOLOv3 and EfficientDet, the most reliable artificial intelligence detection algorithm recently, an alert service that simultaneously transmits four kinds of notifications: text, web, app and e-mail, and an AWS system that links fire detection and notification service. There are two types of our highly accurate fire detection algorithms; the fire detection model based on YOLOv3, which operates locally, used more than 2000 fire data and learned through data augmentation, and the EfficientDet, which operates in the cloud, has conducted transfer learning on the pretrained model. Four types of notification services were established using AWS service and FCM service; in the case of the web, app, and mail, notifications were received immediately after notification transmission, and in the case of the text messaging system through the base station, the delay time was fast enough within one second. We proved the accuracy of our fire detection technology through fire detection experiments using the fire video, and we also measured the time of fire detection and notification service to check detecting time and notification time. Our AI fire detection and notification service system in this paper is expected to be more accurate and faster than past fire detection systems, which will greatly help secure golden time in the event of fire accidents.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.179-185
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• 2021

We performed to explore the applicability of protocol to improve the curriculum literacy for special education pre-teachers. For this, protocol of Park et al (2018), which can be used in the educational field, was partially modified and applied to enhance the special education curriculum expertise of pre-teachers. The literacy protocol of the special education curriculum was applied as Protocols 1 and 2, and Protocol 1 was focused on adaptation the 2015 special education curriculum and understanding literacy. Protocol 2 consisted of reorganizing the subject level centering on the five subjects presented in the special education curriculum, and establishing an integrated theme setting and reorganization plan. We applied the research design during a total of 15 weeks of special education curriculum subjects. The class format was flipped learning (e.g, pre-video lectures, theory lectures (E-Sheets), and learner-led activities (W-Sheets) for each topic was carried out. We found that pre-teachers' thought that the academic achievement and satisfaction of students with disabilities could be increased by adaptation the curriculum. Pre-teachers reported that the experience of reorganizing each subject/intersection helped improve their literacy but found it difficult.

• Journal of Cadastre & Land InformatiX
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• v.51 no.1
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• pp.53-65
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• 2021

C-ITS(Cooperative Intelligent Transport System) that pursues traffic safety and convenience uses various sensors to generate traffic information. Therefore, it is necessary to improve the sensor-related technology to increase the efficiency and reliability of the traffic information. Recently, the role of CCTV in collecting video information has become more important due to advances in AI(Artificial Intelligence) technology. In this study, we propose to identify and track dynamic objects(vehicles, people, etc.) in CCTV images, and to analyze and provide information about them in various environments. To this end, we conducted identification and tracking of dynamic objects using the Yolov4 and Deepsort algorithms, establishment of real-time multi-user support servers based on Kafka, defining transformation matrices between images and spatial coordinate systems, and map-based dynamic object visualization. In addition, a positional consistency evaluation was performed to confirm its usefulness. Through the proposed scheme, we confirmed that CCTVs can serve as important sensors to provide relevant information by analyzing road conditions in real time in terms of road infrastructure beyond a simple monitoring role.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.336-344
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• 2021

The purpose of this study was to identify the self-awareness of smartphone dependence among undergraduate students and their response to the same. The data was drawn from a survey on smartphone overdependence conducted by the Ministry of Science and information and communications technology (ICT) and the National Information Society Agency in 2017. The responses of 1,735 undergraduate students were analyzed by frequency, percentage, mean, standard deviation, minimum-maximum value, ��2-test, independent t-test, Pearson's correlation coefficient, and stepwise multiple regression analysis. The results indicated that 22.3% of participants were at risk of smartphone dependence, and 63.6% of them were unaware of their dependence on smartphones. The perception of smartphone dependence was significantly associated with a higher risk of smartphone dependence (��=.35, p=.000) and the increasing use of applications such as games (��=.19, p=.000), television/video (��=.11, p=.000), and learning (��=.11, p=.000). Of the participants with dependence awareness, only a few knew about the existence of centers to prevent smartphone and internet dependence. Moreover, they rarely utilized these centers. However, the participants felt the need for more counseling agencies (26.8%), programs for dealing with oneself (23.2%), information about smartphone dependence (14.9%), and help to overcome dependence (10.9%). These findings show the need to establish public services so that students can easily access correct information on smartphone dependence and address this problem.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.300-308
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• 2021

The epidemic of COVID19 caused a big change in design collaboration, which has been conducting using face-to-face interaction. Designers actively used video conferencing and online document tools in situations where face-to-face meetings were difficult, and this gave them an opportunity to experience that non-face-to-face collaboration can be more effective in a specific design process. In this regard, this study attempted to find out which activities during the design process are more compelling in face-to-face collaboration or non-face-to-face collaboration. To do this, three user experience design projects conducted after the COVID19 epidemic were analyzed through a retrospective interview method. As a result, during four design stages, 'Discover, Define, Develop, Deliver', face-to-face collaboration is necessary for the areas that require creative problem solving through active interaction. In contrast, non-face-to-face collaboration is preferred and more effective when designers need their own space and proceed their design work. In addition, the aspects of design tools supporting non-face-to-face collaboration were also illustrated. Findings discovered through this study are expected to contribute to research on the design process later.

• Journal of the Korean Applied Science and Technology
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• v.37 no.6
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• pp.1659-1668
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• 2020

The purpose of this study is to analyze the effect of the application of hand washing education program for the children with intellectual disability on hand washing frequency and methods during COVID-19 Pandemic. Subjects were 14 children with intellectual disability and they participated in the program using visual video materials. Hand washing education program was consisted of introduction, theory education, and practice and it performed 2 times a week, total 16 sessions during 8 weeks. Hand washing theory education was consisted about the importance and application of hand washing, proper hand washing steps and methods, use of hand washing tools, use of hand sanitizers including characteristics, and prevention of skin damage from hand washing. Hand washing assessment was used by hand washing frequence and methods observation report. Hand washing frequency was measured by the hand washing frequency during the daily routine and it was analyzed by the items divided into day and month units. Hand washing methods was measured by the items divided into use of hand washing tools, time, areas, drying methods after hand washing. As the results, after hand washing education program, the hand washing frequence was increased and hand washing methods were improved. Hand washing is much important as a active method to prevent the infection during the COVID-19 Pandemic. Thus, based on this findings, the application of hand washing education program should be considered to increase the hand washing frequency and improve the hand washing methods of the children with intellectual disability.