• The Journal of Korean Association of Computer Education
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• v.8 no.1
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• pp.1-12
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• 2005

In this paper, we analyze the course 'computer' on middle and high schools. and propose new organization of the course to enhance the ability of self-directed learning. We also develop a learning system for new organization, based on self-directed teaching and learning principles. The developed learning system makes students choose the topics according to their interest and advance learning by the schedule they set by themselves. To promote students' participation, the teacher also gives students various learning tasks. Through e-board and Q&A, we also accelerate mutual communication among teachers and students, to do teaching-learning activities vigorously.

• Earthquakes and Structures
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• v.25 no.5
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• pp.325-342
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• 2023

The damping modification factor (DMF) is used to modify the 5%-damped response spectrum to produce spectral values that correspond to other necessary damping ratios for seismic design. The DMF has been the subject of numerous studies, and it has been discovered that seismological parameters like magnitude and distance can have an impact on it. However, DMF formulations incorporating these seismological parameters cannot be directly applied to seismic design because these parameters are not specified in the present seismic codes. The goal of this study is to develop a formulation for the DMF that can be directly applied in seismic design and that takes the effects of magnitude, distance, and site conditions into account. To achieve this goal, 16660 ground motions with magnitudes ranging from 4 to 9 and epicentral distances ranging from 10 to 200 km are used to systematically study the effects of magnitude, distance, and site conditions on the DMF. Furthermore, according to the knowledge that magnitude and distance affect the DMF primarily by changing the spectral shape, a spectral shape factor is adopted to reflect influences of magnitude and distance, and a new formulation for the DMF incorporating the spectral shape factor is developed. In comparison to the current formulations, the proposed formulation provides a more accurate prediction of the DMF and can be employed directly in seismic design.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.468-476
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• 2010

Since the Media law recently passed, the media's influence has further enhanced than before. However, in reality, systematic media education can't catch up a trend of the fast growing media culture development. The new paradigm is much needed in getting rid of utilizing previous ICT training tool but rather using a creative and critical new role model. This study, media education in schools outside the school, as well as to the proper education of the active and systematic media education system as a way to create a top integrated media that is responsible for training new teachers to offer courses to train professionals. To change fragmentary and unsystematic media education system having been implemented to more professional, systematic and concrete, it is proposed that 3 systematic courses media literacy course, media story telling course and media production course should be implemented.

• The Journal of Korean Association of Computer Education
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• v.3 no.1
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• pp.143-150
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• 2000

As the society evolves into information age, new teaching and learning methods are proposed. In this paper, we design and implement an on-line quiz program for the formative evaluation of Distance Computer Education. The computer studies include many difficult concepts and those are hard to learn and the distance learning has the advantage of overcoming time and spatial limitations but it needs learner's strong motivations to study. Also, the formative evaluation may guide teachers and learners to studying course and it is necessary to prevent both users from too much load. Therefore, presenting quiz and solving it may be a better way for the formative evaluation and we design and implement a Quiz Program for the formative evaluation of Distance Computer Education. We believe that our program will improve motivation of students in Distance Computer Education

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.3
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• pp.952-957
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• 2017

In the course of survey of marine algal flora in Korea, a red algal species was collected from Pohang located in the eastern coast of Korea. This shares features of Hypnea, and is characterized by more or less percurrent axis and numerous and short branchlets densely covering axis and branches with basal constrictions, and absence of lenticular thickenings in medullary cell walls. In a phylogenetic tree based on rbcL sequences, this species nests in the same clade as Hypnea esperi. Genetic distance between this Korean entity and H. esperi was in intraspecific range as 0.6%. This alga is identified as Hypnea esperi based on the morphological and molecular data. This is the first record of H. esperi in Korea.

• Journal of Engineering Education Research
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• v.13 no.4
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• pp.109-121
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• 2010

They have been indicating that they cannot make their new employees to be committed immediately to working and suggesting the need for development of the program for improving the undergraduate students' practical ability in the business of architectural engineering. Specifically, in case of local colleges and universities, it is relatively difficult to establish the relationship with local industries or institutes and get a chance to visit various construction sites and meet with experienced professionals. In this study, a new course in the business of architectural engineering is developed for improving the undergraduate students' practical ability. In addition, the class website is developed to provide multimedia educational materials for distance education. Surveys on the programs and course materials developed through this research study will be conducted periodically to improve them continuously. It will encourage their sustainable use.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.79-86
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• 2019

This paper is an overview of key elements of Korea National Open University's smart mobile learning system, and an attempt to evaluate its main services relative to the FRAME model and the Mobile Learning Development Model for distance learning in higher education. KNOU improved its system architecture to one based on xMOOC e-learning content delivery while also upgrading its PC-based online/mobile learning services to facilitate an easier and more convenient access to lectures and for better interactivity. From the users' viewpoint, the upgraded 'U-KNOU Campus' allows for a more integrated search capability coupled with better course recommendations and a customized notification service. Using the new system, the students can access not only the school- and peer-issued messages via online bulletin boards but also share information and pose questions to others including to the school faculty/officials and system administrators. Additionally, a new mobile payment method has been incorporated into the system so that the students can select and pay for additional courses from anywhere. In spite of these advances, the issue of device usability and content development remain; specifically U-KNOU Campus needs to improve its instructor-learner and learner-to-learner interactivity and mobile evaluation interface.

• Journal of Korean Neurosurgical Society
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• v.63 no.2
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• pp.248-260
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• 2020

Objective : To investigate the efficiency of diffusion tensor imaging (DTI) fiber-tracking based neuronavigation and assess its usefulness in the preoperative surgical planning, prognostic prediction, intraoperative course and outcome improvement. Methods : Seventeen patients with cerebral masses adjacent to corticospinal tract (CST) were given standard magnetic resonance imaging and DTI examination. By incorporation of DTI data, the relation between tumor and adjacent white matter tracts was reconstructed and assessed in the neuronavigation system. Distance from tumor border to CST was measured. Results : The sub-portion of CST in closest proximity to tumor was found displaced in all patients. The chief disruptive changes were classified as follows : complete interruption, partial interruption, or simple displacement. Partial interruption was evident in seven patients (41.2%) whose lesions were close to cortex. In the other 10 patients (58.8%), delineated CSTs were intact but distorted. No complete CST interruption was identified. Overall, the mean distance from resection border to CST was 6.12 mm (range, 0-21), as opposed to 8.18 mm (range, 2-21) with simple displacement and 2.33 mm (range, 0-5) with partial interruption. The clinical outcomes were analyzed in groups stratified by intervening distances (close, <5 mm; moderated, 5-10 mm; far, >10 mm). For the primary brain tumor patients, the proportion of completely resected tumors increased progressively from close to far grouping (42.9%, 50%, and 100%, respectively). Five patients out of seven (71.4%) experienced new neurologic deficits postoperatively in the close group. At meantime, motor deterioration was found in six cases in the close group. All patients in the far and moderate groups received excellent (modified Rankin Scale [mRS] score, 0-1) or good (mRS score, 2-3) rankings, but only 57.1% of patients in the close group earned good outcome scores. Conclusion : DTI fiber tracking based neuronavigation has merit in assessing the relation between lesions and adjacent white matter tracts, allowing prediction of patient outcomes based on lesion-CST distance. It has also proven beneficial in formulating surgical strategies.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.2 no.4
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• pp.298-304
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• 2021

This study aimed to determine the applicability of drones and air quality sensors in environmental monitoring of air pollutant emissions by developing and testing two new methods. The first method used orthoimagery for precise monitoring of pollutant-emitting facilities. The second method used atmospheric sensors for monitoring air pollutants in emissions. Results showed that ground sample distance could be established within 5 cm during the creation of orthoimagery for monitoring emissions, which allowed for detailed examination of facilities with naked eyes. For air quality monitoring, drones were flown on a fixed course and measured the air quality in point units, thus enabling mapping of air quality through spatial analysis. Sensors that could measure various substances were used during this process. Data on particulate matter were compared with data from the National Air Pollution Measurement Network to determine its future potential to leverage. However, technical development and applications for environmental monitoring of pollution-emitting facilities are still in their early stages. They could be limited by meteorological conditions and sensitivity of the sensor technology. This research is expected to provide guidelines for environmental monitoring of pollutant-emitting facilities using drones.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.53-54
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• 2015

The maritime industry is expanding at an alarming rate and as such there is a perpetual need to improve situation awareness in the maritime environment using new and emerging technology. Tracking is one of the numerous ways of enhancing situation awareness by providing information that may be useful to the operator. The tracking system described herein comprises determining existing states of own ship, state prediction and state compensation caused by random noise. The purpose of this paper is to analyze the process of tracking and develop a tracking algorithm by using ${\alpha}-{\beta}-{\gamma}$ tracking filter under a random noise or irregular motion for use in a warship. The algorithm involves initializing the input parameters of position, velocity and course. The actual positions are then computed for each time interval. In addition, a weighted difference of the observed and predicted position at the nth observation is added to the predicted position to obtain the smoothed position. This estimation is subsequently employed to determine the predicted position at (n+1). The smoothed values, predicted values and the observed values are used to compute the twice distance root mean square (2drms) error as a measure of accuracy of the tracking module.