• Journal of The Korean Association of Information Education
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• v.6 no.1
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• pp.53-63
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• 2002

The purpose of this thesis is to design and implement an efficient Web- based Project Learning System(WPLS) in particular for the interactive of an elementary school children. The WPLS in this paper has four main parts ; user interface, learner module, administrator module and database. This system was implemented in accordance with the project themes solving learning processes. So the learner module consists of five steps ; project theme proposal, project plan, project execution, web-publishing, and project test. WPLS can improve student`s ICT using ability and academic achievement.

• Women's Health Nursing
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• v.12 no.4
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• pp.326-337
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• 2006

Purpose: This study was done to apply a PBL module for students' practice in maternity nursing. Method: Two PBL module scenarios were made for clinical cases in antepartum, intrapartum, and postpartum nursing care. A total of 70 senior nursing students of S university were enrolled in this module for their scheduled 3 weeks of practice. A structured questionnaire and subjective statements were collected for evaluation. Result: The students' perceptions of PBL were found to be effective in encouraging motivation and interest in studying, absorbing practical knowledge better, and learning through interaction with tutors. They became more confident, active, and positive throughout the PBL experiences while a lack of time for learning was a limitation. Conclusion: PBL is considered a method that can strengthen nursing students' abilities to adjust to clinical situations in maternity areas. It is recommended to expand PBL in nursing practice courses and develop various scenarios and qualified tutors.

• Journal of Advanced Navigation Technology
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• v.14 no.6
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• pp.874-881
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• 2010

A automatic flight control system(AFCS) of UAS needs to control its flight path along target path exactly as adjusts flight coefficient itself depending on static or dynamic changes of airplane's features such as type, size or weight. In this paper, we propose system which tunes control gain autonomously depending on change of airplane's feature in flight as adding MLM(Machine Learning Module) on AFCS. MLM is designed with Linear Regression algorithm and Reinforcement Learning and it includes EvM(Evaluation Module) which evaluates learned control gain from MLM and verified system. This system is tested on beaver FDC simulator and we present its analysed result.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.6
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• pp.1545-1559
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• 2023

In the cloud environment, microservices are implemented through Kubernetes, and these services can be expanded or reduced through the autoscaling function under Kubernetes, depending on the service request or resource usage. However, the increase in the number of nodes or distributed microservices in Kubernetes and the unpredictable autoscaling function make it very difficult for system administrators to conduct operations. Artificial Intelligence for IT Operations (AIOps) supports resource management for cloud services through AI and has attracted attention as a solution to these problems. For example, after the AI model learns the metric or log data collected in the microservice units, failures can be inferred by predicting the resources in future data. However, it is difficult to construct data sets for generating learning models because many microservices used for autoscaling generate different metrics or logs in the same timestamp. In this study, we propose a cloud data refining module and structure that collects metric or log data in a microservice environment implemented by Kubernetes; and arranges it into computing resources corresponding to each service so that AI models can learn and analogize service-specific failures. We obtained Kubernetes-based AIOps learning data through this module, and after learning the built dataset through the AI model, we verified the prediction result through the differences between the obtained and actual data.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.1
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• pp.1-11
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• 2001

This paper presents a learning-based approach for the construction of license Plate recognition system. The system consist of three modules. They are respectively, car detection module, license plate recognition module and recognition module. Car detection module detects a car in the given image sequence obtained from the camera with simple color-based approach. Segmentation module extracts the license plate in detect car image using neural network as filters for analyzing the color and texture properties of license plate. Recognition module then reads characters in detected license plate with support vector machine (SVM)-based characters recognizer. The system has been tested from parking lot and tollgate, etc. and have show the following performances on average: Car detect rate 100%, segmentation rate 97.5%, and character recognition rate about 97.2%. Overall system performances is 94.7% and processing time is one sec. Then our propose system does well using real world.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.4
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• pp.603-613
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• 2017

The purpose of this study was to develop an scientific inquiry learning module by applying ESD and to verify its effect so that students could understand sustainable development and geology concepts by reconstructing the contents of the geology related unit. For this purpose, the "Volcanoes and Earthquakes" unit in the 3-4 grade group of the Korea national curriculum was selected and the scientific inquiry learning module was developed. The developed inquiry learning module consisted of one textbook and one teacher 's guidebook, and it was put into one class of elementary school to verify the effect. As a result, the teacher said that it was good to be taught contents of ESD and it was useful because of the concreteness of inquiry activities. The students responded that they were interesting because developed textbook is more often the interesting picture and activity than traditional textbook. And the students responded that 'ESD' has been an opportunity to be interested in science.

• Journal of The Korean Association For Science Education
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• v.21 no.2
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• pp.264-278
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• 2001

The purpose of this study was to develop the web based instruction(WBI) program, to examine its effects on the science achievement, the attitude toward science, and students' perceptions on the WBI learning. The WBI program on the content of oceanography unit in Earth Science for high schools was developed using Namo 4.0, JAVA-script, Flash 4, Video Capture of SnagIt, Animation Shop graphic tools. The treatment group consisted of students who participated in the WBI program developed in this study, and the control group consisted of students who participated in the module instruction using self-learning materials. The results from this study were as follows: First, the scores of science achievement of WBI group were significantly higher than those of module group. There was not interaction effect of treatment and students' learning ability. Second, there were no significant difference in the scores of the attitude towards science learning between WBI group and module group, and there was not interaction effect of treatment and students' learning ability. Third, in the perception questionnaire of WBI learning, many students showed the WBI learning were good in terms of causing interaction between learners and web based learning materials including various images and animations. However there are several students who showed learning difficulties. For example they wonder which part is more important and what order is proper to study in hypertext environment.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.513-521
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• 2014

The purpose of this research is to develope and implement a convergent educational contents based on theoretical background of integrated education using agent based modeling in the ubiquitous learning environment. The structure of this contents consists of three modules that were designed by trans-disciplinary concept and situated learning theory. These three modules are: convergent problem presenting module, resource of knowledge module and learning of agent based modeling and IT tools module. After the satisfaction survey of the implemented content, out of 5 total value, the average value was 3.86 for effectiveness, 4.13 for convenience and 3.86 for design. The result of the survey shows that the users are generally satisfied. By using this u-learning contents, learners can experience and learn how to solve the convergent problem by utilizing IT tools without any limitation of device, time and space. At the same time, the proposal of structural design of contents can be a good guideline to the researchers to develop the convergent educational contents in the future.

• Journal of Service Research and Studies
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• v.1 no.1
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• pp.113-122
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• 2011

In this research, we developed an practical service module as a application which operating on the smart phones based on the Android operating system. The service module supports on the voice processing function and inquiry windows also. After some documents and screens related on system analysis, service module are designed and implemented. The details about these modules are explained. We can expect to enhance the learning effects of english words memorizing competence for smart-phone users.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1091-1100
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• 2022

As deep learning technology advances and various high-resolution remote sensing images are available, interest in using deep learning technology and remote sensing big data to detect buildings and change in urban areas is increasing significantly. In this paper, for semantic building segmentation of high-resolution remote sensing images, we propose a new building segmentation model, Convolutional Block Attention Module (CBAM)-DRUNet that uses the DeepResUNet model, which has excellent performance in building segmentation, as the basic structure, improves the residual learning unit and combines a CBAM with the basic structure. In the performance evaluation using WHU dataset and INRIA dataset, the proposed building segmentation model showed excellent performance in terms of F1 score, accuracy and recall compared to ResUNet and DeepResUNet including UNet.