• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.440-447
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• 2021

The purpose of this study is to verify the effectiveness of non-face-to-face lectures conducted at universities in Korea under the influence of COVID-19. So this study analyzed the satisfaction level of the students according to the type of class operation, such as face-to-face classes and remote video classes. To this end, this study compared the differences in class satisfaction by class type and class size for a total of 8,707 courses operated by a university between 2019 and 2020. The study found that the satisfaction level of the remote video class was significantly high. In addition, the combination of remote video classes and face-to-face was more satisfactory than other cases. On the other hand, the satisfaction level of small classes in both face-to-face and remote video classes was higher than that of medium or large classes. This means that even remote video classes are highly satisfactory in small-scale classes. Based on the findings, the study proposes a paradigm for new college classes.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.51-57
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• 2022

The purpose of this study is to explore the future direction of university liberal arts classes at a time when many educational institutions have returned to face-to-face instruction as social distancing related to COVID-19 has been eliminated. A survey was conducted with 187 college students who took a liberal arts class that included a combination of online and in-person classes. The results found that learners were generally satisfied with remote learning (87.8%). The reasons for this high level of satisfaction included sufficient comprehension of class content, systematic class progress, and the efficiency and convenience of learning in a remote environment. Satisfaction levels for in-person classes (66%) were relatively lower than those for remote classes, and this is reflected in the preference for class type. Among wholly in-person, wholly remote, and a combination of both, it was found that learners preferred remote classes the most (54.4%). When conducting in-person classes, instructors must devise a class plan that incorporates the advantages of online remote classes.

• Journal of Korean Elementary Science Education
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• v.39 no.4
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• pp.522-532
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• 2020

The aims of this study were to do a survey on teachers' perception and operational state for elementary science online remote classes and suggest ways to improve the elementary science online remote classes. The survey was based on responses from 100 teachers who have taught elementary science online remote classes for the first semester of 2020 for COVID-19. The questionnaire used in this study consisted of four parts: general informations of participants, the operation status of elementary science online remote classes, teachers' perceptions on the operation of elementary science online remote classes, ways to improve elementary science online remote classes. As a result of this study, elementary teachers taught elementary science online remote classes on the main use of content utilization type. And they had a difficulty in conducting elementary science online remote classes because of lack of contents, absence of elementary science online remote classes teaching methods, learner management and heavy workload. Therefore, to improve elementary science online remote classes the Ministry of Education and regional offices of education have to develop and provide high-quality contents reflect the characteristics of elementary science subjects, introduce a rent-an-experiment equipment system, and build a science class platform providing frequent real-time interaction between teacher and student.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.355-360
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• 2021

COVID-19 has brought major changes to school education. Although it was attempted to guarantee students' right to learn through romote learning, the limitations of remote learning compared to face-to-face classes were clear. Nevertheless, the method of remote learning is undoubtedly a learning method that needs to be continuously developed in terms of being able to consider separated time and space and enabling learners to learn individually and autonomously. Therefore, in this study, real-time romote learning cases were analyzed at the elementary school stage, and problems in real-time remote classes were discovered and improved through teacher interviews. The problems with real-time remote classes in elementary school unit classes examined through examples are: First, that the proportion of teacher activity is high due to the anxiety of the unfamiliar environment of remote classes, and second, even though it is a real-time interactive class, it It was impossible to provide feedback. As a solution to this, it is necessary to consider the basic class steps (introduction-deployment-organization) and the use of class tools to provide appropriate communication and feedback was suggested.

• Journal of the Korean Society of Radiology
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• v.14 no.4
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• pp.405-413
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• 2020

Expectations and interests in blended learning are increasing as universities respond to the educational flow of transition to e-learning. This study analyzed the difference between the satisfaction of students in the first grade of radiology and the general characteristics of the subjects when applying blended learning. First, the satisfaction according to the class type was the highest in blended learning classes at 47.2%, followed by lecture room classes at 30.6% and remote classes at 22.2%. Second, the place where the remote lecture was watched by viewing the remote class according to the general characteristics was the highest at 94.4%. The most common medium for attending the remote class was using a PC, with 72.2%, and there was no significant difference in the remote class viewing method (p>0.05). Third, the appropriateness of the blended learning, "Remote lectures and lecture room lectures were properly conducted," had the highest score of 4.27±0.70. In addition, there was no significant difference in response to the teaching method according to gender and age (p>0.05). Fourth, the technology and system support,'Technical support and system support must be done when taking a remote lecture,' showed the highest score of 3.41±0.96. The lack of communication between professors and students,'In the remote class, communication between professors and students is insufficient' was the lowest with 2.88±1.00. In addition, there was no significant difference in the improvement of class according to gender and age (p>0.05). Through this study, it was intended to serve as a basis for the plans of blended classes and the policies of schools that introduced blended classes.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.5
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• pp.412-418
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• 2011

The scale of wind turbines has continuously increased over the last decade. Especially, the rapid growth of the rotor diameter has brought about the increase of the tower height and the load on the rotor blade, as can be seen in the case of a 5MW class wind turbine with 126m rotor diameter. This trend means the increasing possibility of system failure. In addition to that, it is impossible for human operators to stay and manage all the turbines in the case of a large-scale wind farm. For these reasons, the operation and maintenance technology is getting more importance. In this paper, we present an unmanned remote monitoring system for MW class wind turbines and its application to YeungHeung wind test bed.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.324-336
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• 2022

The purpose of this study is to comparatively analyze academic achievement and class satisfaction in college general mathematics between face-to-face classes and remote classes. For this study, we selected 97 first-year students from three departments of an engineering college at M University. Among the subjects of the study, 39 students in Department A and 36 students in Department B took remote classes using pre-recorded class videos, and 22 students in Department C took face-to-face classes. The subjects of this study were evaluated by one professor as the same type of problem with the same content for the same textbook. Among the subjects of the study, 35 students in department A, 34 students in department B, and 17 students in department C who entered through rolling admissions were collected and homogeneity tests were conducted. And then we analyzed the scores of these students' midterm and final exams for general mathematics in the first semester of 2021. Also, we compared and analyzed the academic achievement and class satisfaction of general mathematics subjects for face-to-face classes and remote classes for all study subjects. The results of this study are as follows. First, there is a significant difference in students' academic achievement of general mathematics between face-to-face classes and remote classes. Second, there is a significant difference in class satisfaction between face-to-face classes and non- face-to-face remote classes.

• Korean Journal of Remote Sensing
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• v.36 no.1
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• pp.55-65
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• 2020

Image classification needs the spectral similarity comparison between spectral features of each pixel and the representative spectral features of each class. The spectral similarity is obtained by computing the spectral feature vector distance between the pixel and the class. Each spectral feature contributes differently in the image classification depending on the class separability of the spectral feature, which is computed using a suitable vector distance measure such as the Bhattacharyya distance. We propose a method to determine the weight value of each spectral feature in the computation of feature vector distance for the similarity measurement. The weight value is determined by the ratio between each feature separability value to the total separability values of all the spectral features. We created ten spectral features consisting of seven bands of Landsat-8 OLI image and three indices, NDVI, NDWI and NDBI. For three experimental test sites, we obtained the overall accuracies between 95.0% and 97.5% and the kappa coefficients between 90.43% and 94.47%.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.2
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• pp.347-353
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• 2012

In this paper, authors will develop the quick and precise remote controller of automatic fire detection equipment (P-type one-class receiver) based on information communication technology (IT). The remote controller detects the fire and disaster in the building automatically and quickly and then activates the facilities to extinguish the fire and disaster, monitoring such situation in a real time through wire-wireless communication network. The proposed remote controller is applied a programmable logic device (PLD) micom. of one-chip type which is small size and lightweight and also has highly sensitive-precise reliabilities. The one-chip type PLD micom. analyzes digital signals from sensors, then activates fire extinguishing facilities for alarm and rapid suppression in a case of fire and disaster. The detected data is also transferred to a remote situation room through wire-wireless network of RS232c and bluetooth communication, and then the situation room sends an emergency alarm signal. The automatic fire detection equipment (AFDE) based on IT will minimize the life and wealth loss while prevents fire and disaster.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.47-49
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• 2003

Automatic land use and land cover change (LUCC) detection via remotely sensed imagery has a wide application in the area of LUCC research, nature resource and environment monitoring and protection. Under the condition that one time (T1) data is existed land use and land cover maps, and another time (T2) data is remotely sensed imagery, how to detect change automatically is still an unresolved issue. This paper developed a land use and land cover class knowledge guided method for automatic change detection under this situation. Firstly, the land use and land cover map in T1 and remote sensing images in T2 were registered and superimposed precisely. Secondly, the remotely sensed knowledge database of all land use and land cover classes was constructed based on the unchanged parcels in T1 map. Thirdly, guided by T1 land use and land cover map, feature statistics for each parcel or pixel in RS images were extracted. Finally, land use and land cover changes were found and the change class was recognized through the automatic matching between the knowledge database of remote sensing information of land use & land cover classes and the extracted statistics in that parcel or pixel. Experimental results and some actual applications show the efficiency of this method.