• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2000.10a
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• pp.81-821
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• 2000

No Abstract.See Full-text

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2001.02a
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• pp.8-1-8-21
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• 2001

• Journal of the Korean Society of Costume
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• v.60 no.7
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• pp.31-46
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• 2010

Fashion industry is faced with issues of raising the competitiveness of established designers recently. As well as the change of business system, the specialization of professionals in design team increases the needs of in-service training of fashion designers. But, the education programs of enterprise are generally focused on adaptability to the organization and harmony among men as an introduction level. Furthermore, there are few professional institutions that give an education to the working-level designers. Thus, this study aimed at development of specialized in-service training program that could educate established designers for more integrated thought to cope with rapid changes in the fashion field. Firstly, the theoretical study on the in-service training and changes of fashion environment had been studied through literature review. Then, the current state of in-service training of fashion enterprises and the courses for established designers in fashion institutions were analysed. Finally, a comprehensive framework of in-service training program for fashion designers has been established as a result of this study. The program was designed in accordance with the previous research which reached 4 different educational needs for in-service training: brand planning and management, understanding production, understanding practical fabrics & colors, computer program. The study went further to apply the program to each design group divided by career: new designer, junior designer, senior designer, design leader. This study also suggested evaluation process to confirm the effects.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.7
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• pp.1379-1385
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• 2017

Virtual training is a kind of training that proceeds as if it were a real situation. In recent years, there has been a growing demand for experiencing a situation in which a virtual reality technology has not been experienced directly in the real world due to the rapid development of the technology. Especially, safety education is very necessary in Korea where safety accidents are caused by many disasters. Therefore, simulation of disaster response training using virtual reality is more urgent than ever. Although the automatic defibrillator is the medical device that is most needed to rescue patients with cardiac arrest, few people know how to use it. Therefore, there are very few cases where the use of automatic defibrillators has saved the patient's life in Korea. The proposed Automated External Defibrillator virtual training system enables immersive and experiential training in real situations and effective training at low cost.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.3
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• pp.651-656
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• 2017

Virtual Training generates virtual situation or environment with specific goals in order to instruct trainees as if they are in the real-world. Recently, the demand of experiencing certain incident, which we are not able to experience in real life, has been increased along with the fast developing Virtual Reality (VR) technology. Particularly, Virtual Training(VT) enables us to learn various fields those require high risk and high cost. The system of VT provides interaction and allows us absorb these learning materials better which augments learning effect. Based on the demand of Virtual Training system, this research analyzes current education paradigm National Competency Standards (NCS) in Korea and suggests possible education that utilizes Virtual Training system. At the end of the day, our future goal is to apply suggested Virtual Training contents to universities that reflect NCS curriculum like polytechnic university.

• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.4
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• pp.545-554
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• 2019

The purpose of this study is to develop a method of applying AR(Augmented Reality)/VR(Virtual Reality) to educational and training systems from a comprehensive perspective, rather than applying AR/VR technology to specific education and training systems. We suggested whether to apply AR or VR technology to education and training system, the level of application of technology when constructing using AR/VR technology, and the criteria of priority among many education and training systems. To do this, we presented the framework of application of AR/VR technology, the evaluation criteria for selecting priority of education and training system applying AR/VR, and the systematic procedure for utilization of developed method. This study is significant in that it has developed a method to determine the direction of systematic AR/VR technology application for all education and training systems operated by the military or organization. This is expected to contribute to the overall efficiency of the organization in terms of economical utilization of the limited budget as well as the various benefits of utilizing basic AR/VR technology.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.269-271
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• 2019

우리에겐 익숙하고 쉽게 느껴지지만, 누군가에겐 어려운 것들이 존재한다. 예로 시각 장애인에게는 거리를 돌아다니는 것, 거리를 달린다는 것은 상당한 용기가 필요한 일이다. 경북대학교 재학 중인 시각 장애인 김경훈 학우는 자신의 유튜브 채널에 등교하는 거리에 익숙해지도록 여러 번 걸어 다니며 연습하는 모습의 영상을 올린 적이 있다. 또 다른 시각장애인은 국민 청원에 트레이닝에 대한 지원 요청을 한 적이 있다. 우리는 이런 사례들을 조사하여 거리에 나가지 않아도, 위험요소를 생각하지 않아도 할 수 있는, 그 누구도 차별 받지 않고 모두가 자연스럽게 운동에 집중할 수 있는 홈 트레이닝 시스템을 구현하였다.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.260-269
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• 2022

In this paper, We propose an anomaly detection model using deep neural network to automate the identification of outliers of the national air pollution measurement network data that is previously performed by experts. We generated training data by analyzing missing values and outliers of weather data provided by the Institute of Environmental Research and based on the BeatGAN model of the unsupervised learning method, we propose a new model by changing the kernel structure, adding the convolutional filter layer and the transposed convolutional filter layer to improve anomaly detection performance. In addition, by utilizing the generative features of the proposed model to implement and apply a retraining algorithm that generates new data and uses it for training, it was confirmed that the proposed model had the highest performance compared to the original BeatGAN models and other unsupervised learning model like Iforest and One Class SVM. Through this study, it was possible to suggest a method to improve the anomaly detection performance of proposed model while avoiding overfitting without additional cost in situations where training data are insufficient due to various factors such as sensor abnormalities and inspections in actual industrial sites.

• Journal of the Korea Society of Computer and Information
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• v.19 no.10
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• pp.35-42
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• 2014

It is possible to improve the obstacle avoidance capability by training and recognizing the obstacles which is in certain indoor environment. We propose the technique that use underlying intensity value along with intensity map from RGB-D image which is derived from stereo vision Kinect sensor and recognize an obstacle within constant distance. We test and experiment the accuracy and execution time of the pattern recognition algorithms like PCA, ICA, LDA, SVM to show the recognition possibility of it. From the comparison experiment between RGB-D data and intensity data, RGB-D data got 4.2% better accuracy rate than intensity data but intensity data got 29% and 31% faster than RGB-D in terms of training time and intensity data got 70% and 33% faster than RGB-D in terms of testing time for LDA and SVM, respectively. So, LDA, SVM have good accuracy and better training/testing time to use for obstacle avoidance based on intensity dataset of mobile robot.

• Journal of the Ergonomics Society of Korea
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• v.34 no.5
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• pp.401-410
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• 2015

Objective: The present study was to improve the graphic user interface (GUI) of a military computer-based training (CBT) system in terms of usability. Background: Existing studies have focused on usability evaluation of a particular GUI type such as sequence, hierarchy, or context type; however, few research has been conducted which identifies preferred GUI features based on a comparative analysis of different GUI types. Method: A comparative evaluation was conducted by 9 CBT design experts using a 7-point scale (1: very low, 4: neutral, and 7: very high) on hierarchy and context GUI types of a military CBT system in terms of 10 usability criteria. Then, preferred features of the hierarchy and context types being accommodated, a new GUI was developed and validated by 22 CBT users. Results: While the hierarchy type was found preferred by 1.6 times in terms of controllability to the context type, the opposite was found in terms of attractiveness, simplicity, and responsiveness by 0.6, 0.8, and 0.8 times, respectively. The proposed GUI was found superior to the hierarchy and context types in terms of accessibility and informativeness by more than 1.5 times, but inferior to the hierarchy and context type in terms of simplicity by 0.6 and 0.9 times, respectively. Conclusion: The new GUI developed by accommodating the preferred features of the hierarchy and context types improves usability in terms of accessibility and informativeness except simplicity. Application: The comparative analysis of various GUIs can be applied to develop an improved GUI in a systematic manner based on preferred features of the existing GUIs.