• Journal of The Korean Association of Information Education
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• v.19 no.3
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• pp.261-270
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• 2015

In this paper, a strategy of cooperation activities was conducted to analyze on the impact of what effect appears in teacher training. We classified with satisfaction, effectiveness and academic achievement as effects of teacher training. We were divided into three groups that are cooperative-reflection activity group using the SNS, self-reflection activity group and general training group. Depending on the type of reflection activity, we have one-way ANOVA analysis for the effectiveness of teacher training. By the results of the analysis, we found to have a positive impact that cooperative reflection activity group were more an academic achievement, satisfaction and effectiveness of training. Accordingly, we have found the SNS-based collaborative reflection activity is very effective in teacher training.

• Journal of the Korea Society of Computer and Information
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• v.18 no.10
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• pp.217-223
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• 2013

This research tries to study the effect that the welfare field training the course selection. Because of being the important place where the welfare field training trains the expert, the knowledge, value, and practical lodging tries to be identify instructed. In this aspect, we try to analyze about the extend of satisfaction of the actual training, that is the extent of desiring the link including the class of school subject extend of satisfaction of the department of social welfare engine, and etc. and factor about the actual training of the department of social welfare, because the welfare field training the technique is connected directly with the route. First, the individual characteristic of the social welfare and trainees is grasped. Second, the relationship of the social welfare and factor and course selection is investigated. Third, the social welfare and university (circle) lives look into whether the social welfare field training has an effect on the course selection or not.

• Journal of Korea Game Society
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• v.13 no.1
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• pp.19-30
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• 2013

This paper proposes a serious game for rehabilitation training targeting old persons and patients for rehabilitation. The serious game suggested for rehabilitation training provides the whole body movement recognition-based interface using the 3D depth camera. When the user stands before the camera, it distinguishes the user from the background and then recognizes the user's whole body with 15 joints. By analyzing the changes of location and direction of each joint, it recognizes gestures needed for the game. The game contents consist of the games for upper limb training, lower limb training, whole body training, and balance training, and it was realized in both 2D and 3D games. The system suggested in this article works robustly even with the environmental changes using the 3D depth camera. Even with no separate device, the game recognizes the gestures only using the whole body movement, and this enhances the effect of rehabilitation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.665-667
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• 2014

Wellness is IT fused with the user manage and maintain the health of a service can help you. If you are using an existing Fitness Center to yourself by choosing appliances that fit with the risk of injury in order to learn how the efficient movement had existed for a long time was needed. To resolve, use the personal training but more expensive cost of people's problems, and shown again in the habit of exercising alone will have difficulty. This paper provides a variety of smart phones based on a hybrid app with compatibility with the platform and personalized training market system. Users of the Fitness Center is built into smart phones in the history of their movement sensors or transmits to the Web by typing directly. This is based on exercise programs tailored to users via the training market. Personal training marketplace has a variety of users, check the history of this movement he can recommend an exercise program for themselves can be applied by selecting the. This provides users with the right exercise program can do long-term exercise habits can be proactive and goal setting.

• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.277-286
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• 2019

The aim of this study was to investigate the effects of computer-based cognitive rehabilitation and traditional cognitive training on the working memory and executive function of patients with mild traumatic brain injury. The sample consisted of 20 patients with mild traumatic brain injury who had received rehabilitation treatment in a rehabilitation unit. The subjects were assigned to either the experimental (n = 10) or control group (n = 10). The experimental group received computer-based cognitive rehabilitation and traditional cognitive training for 60 minutes, whereas the control group received only traditional cognitive training for 60 minutes. Both the groups received their respective interventions for 60 minutes a day and 5 times per week across a period of 4 weeks. Working memory and executive function were assessed using the digit span test (forward and backward), visual memory 1 and 2 of the Motor-free Visual Perception Test-3, trail making test, and Stroop test (A and B) both before and after the intervention. The experimental group showed a significantly greater improvement in visual memory and performance on the Stroop test A than the control group. These findings suggest that computer-based cognitive rehabilitation and traditional cognitive training are more effective in promoting positive changes in the working memory and executive function of individuals with mild traumatic brain injury than traditional cognitive training.

• Journal of the Korean Society of Marine Environment & Safety
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• v.1 no.1
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• pp.63-82
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• 1995

In recent years, through the rapid development in personal computer technology, it has become possible to make a radar simulator based on the personal computer. The advantage of the personal Computer aidd radar simulator lies in its cost effectiveness, when comparing with that using the real radar. Although there have been studies carried out to develop radar simulator using PC and the products of thi kind is in the commercial market already, they are all using the mockup of the real radar, and therefore, the price of the simulator is still rather expensive. In this respect, this thesis aims to develop a ARPA radar simulator which is running on the sole PC, so that the students of the maritime educational institution may get ARPA radar training easily and cheaply. The simulator developed in this thesis using Visual Basic is found to run successfully on the 486PC, and it is expected that this new simulator system designed first time in Korea would be used as an easily accessible ARPA radar training equipment.

• Journal of Korea Multimedia Society
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• v.17 no.1
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• pp.1-7
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• 2014

Hippocampus is an important part of brain which is related with early memory storage and spatial navigation. By observing the anatomy of hippocampus, some brain diseases effecting human memory (e.g. Alzheimer, schizophrenia, etc.) can be diagnosed and predicted earlier. The diagnosis process is highly related with hippocampus segmentation. In this paper, hippocampus segmentation using Active Shape Model, which not only works based on image intensity, but also by using prior knowledge of hippocampus shape and intensity from the training images, is proposed. The results show that ASM is applicable in segmenting hippocampus from whole brain MR image. It also shows that adding more images in the training set results in better accuracy of hippocampus segmentation.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.1193-1194
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• 2008

In this paper, we propose application training kit using parallel port circuit of standard architecture in computer system. The proposed training kit is verified through the design of hardware board and a virtual driving test using GUI method in VC++ under window XP operating system.

• Journal of the Korea Society of Computer and Information
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• v.22 no.7
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• pp.31-37
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• 2017

There are lots of combined battlefield elements which complete the war. It looks problematic when collecting and analyzing these elements and then predicting the situation of war. Commander's experience and military power assessment have widely been used to come up with these problems, then simulated combat training program recently supplements the war-game models through recording real-time simulated combat data. Nevertheless, there are challenges to assess winning factors of combat. In this paper, we characterize the combat element (ce) by clustering simulated combat data, and then suggest multi-layered artificial neural network (ANN) model, which can comprehend non-linear, cross-connected effects among ces to assess mission completion degree (MCD). Through our ANN model, we have the chance of analyzing and predicting winning factors. Experimental results show that our ANN model can explain MCDs through networking ces which overperform multiple linear regression model. Moreover, sensitivity analysis of ces will be the basis of predicting combat situation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.271-272
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• 2018

제4차 산업혁명시대에서 강조하는 SW교육은 컴퓨팅 관련 교과 뿐만 아니라 타 교과에서도 그 중요성이 대두되고 있으며, 따라서 정보과 교사가 아닌 비 정보과 교사들에게도 SW 교사 연수의 필요성이 높아지고 있다. 따라서 본 연구에서는 선행 연구들의 고찰을 통하여 비 정보과 교사를 위한 햄스터로봇을 활용한 SW 교사 연수 프로그램을 개발하였다.