• Journal of the Korea Society of Computer and Information
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• v.20 no.11
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• pp.55-62
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• 2015

In this paper we propose a method to analyze user's motion as a game command, and implement a sports serious game applied the motion analysis method as a command interpreter. Recently, various contents platforms appear in industrial market, the computer game contents plays an important role in these emerging platforms as a killer contents. The computer game has enough values as an independent major cultural product, moreover it has the potential to be applied in various other fields such as education, healthcare, training, and so on. It could motivate users to do something continuously, and it could also support an immersive environment in a certain special game contents such as VR game. The Serious game 'ChoDeungGangHo', implemented in this paper, is the sensory healthcare serious game based on 3D run game and fitness game. It is designed for user to train the various exercise element by just playing the game, and it also supports the user management system and the linkage of social media. We proposes the sensory serious game 'ChoDeungGangHo' as a model of commercial serious game.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.526-538
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• 2021

Machine and deep learning-based models are emerging techniques that are being used to address prediction problems in biomedical data analysis. DNA sequence prediction is a critical problem that has attracted a great deal of attention in the biomedical domain. Machine and deep learning-based models have been shown to provide more accurate results when compared to conventional regression-based models. The prediction of the gene sequence that leads to cancerous diseases, such as prostate cancer, is crucial. Identifying the most important features in a gene sequence is a challenging task. Extracting the components of the gene sequence that can provide an insight into the types of mutation in the gene is of great importance as it will lead to effective drug design and the promotion of the new concept of personalised medicine. In this work, we extracted the exons in the prostate gene sequences that were used in the experiment. We built a Deep Neural Network (DNN) and Bi-directional Long-Short Term Memory (Bi-LSTM) model using a k-mer encoding for the DNA sequence and one-hot encoding for the class label. The models were evaluated using different classification metrics. Our experimental results show that DNN model prediction offers a training accuracy of 99 percent and validation accuracy of 96 percent. The bi-LSTM model also has a training accuracy of 95 percent and validation accuracy of 91 percent.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.11-14
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• 2020

The importance of data in the development of deep learning is very high. Data with high morphological features are usually utilized in the domains where careful lens calibrations are needed by a human to capture those data. Synthesis of high morphological data for that domain can be a great asset to improve the classification accuracy of systems in the field. Unsupervised learning can be employed for this task. Generating photo-realistic objects of interest has been massively studied after Generative Adversarial Network (GAN) was introduced. In this paper, we propose Morpho-GAN, a method that unifies several GAN techniques to generate quality data of high morphology. Our method introduces a new suitable training objective in the discriminator of GAN to synthesize images that follow the distribution of the original dataset. The results demonstrate that the proposed method can generate plausible data as good as other modern baseline models while taking a less complex during training.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.51-56
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• 2012

Nowadays, For that reason, the tactical training system that were applied to recruit training center and police training, a real-life survivor game place is a drill using conventional training methods that there is no special training system at open terrain and field, there is no training accomplishment in conformity with battlefield situation portrayal. Therefore, this paper developed the tactical training evaluation system and real-time monitoring system that is compensated the defect and controlled sensing, interlock with PC as wireless a way of GUI using PCB mounted MICOM. This system evaluate drill that regulate sensor control module, tactical training system remotely according to what they should do, is installed to fit the occasion as to be reflected or transmission choosingly and is a 24V H/W drive module.

• Journal of the HCI Society of Korea
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• v.11 no.3
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• pp.13-22
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• 2016

Vocal and instrument apprenticeship in applied music has been accepted without significant changes since the introduction of applied music education to South Korea. Few discussions or suggestions about other types of teaching than 'one-to-one lessons' or 'education of apprentices by assigned specialists' have been made. Since the introduction of applied music education to South Korea late in the 1980s, the CAI(Computer Aided Instruction) courseware development for applied music education has not actively been under way. The area of applied music has also made rapid progress in terms of music producing or music videos using computers. Actually, the improved computer program is not positively applied to applied music education. This study aimed to present learning methods using the improved functions of music production softwares to improve the traditional apprenticeship system in the area of vocal training in applied music. In particular, it used the technique of auto tune-pitch shift developed for interval correction in sound sources. By giving real-time feedbacks concerning intervals or monitors visually after recording, it intended to present a learning method to induce improvement in accuracy of intervals in vocal training. This study is expected to present a method that allows vocal trainers to overcome temporal and spatial limitations in applied music and make their vocal training more efficient.

• Journal of The Korean Association of Information Education
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• v.15 no.3
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• pp.327-334
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• 2011

In this paper, we investigated the information gifted teachers' recognition about the copyright and developed a copyright education. Firstly, we compared the copyright-related knowledge, affective, and attitude with the information gifted teachers and regular classroom teachers. As a result of survey, we found that a copyright education in the teacher training for the information gifted was needed, because it was not different between two groups. Accordingly, we developed the copyright education program in the teacher training for the information gifted. We also verified an effectiveness of proposed copyright education program by expert group testing. We expect that this study will contribute the spread of copyright cognition in the information gifted education.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.4
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• pp.433-440
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• 2016

In order to construct a system for big data processing, one needs to configure the node by using network equipments to connect multiple computers or establish cloud environments through virtual hosts on a single computer. However, there are many restrictions on constructing the big data analysis system including complex system configuration and cost. These constraints are becoming a major obstacle to professional manpower training for big data areas which is emerging as one of the most important national competitiveness. As a result, for professional manpower training of big data areas, this paper proposes a Raspberry Pi Board based educational big data processing system which is capable of practical training at an affordable price.

• The Journal of the Korea Contents Association
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• v.3 no.3
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• pp.19-33
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• 2003

Computer simulation has used to a area of military training from about several years ago. War game mode(or computer simulation) endow a military man with lied training such as combat experience without operating combat strength or capabilities. To sanely construct simulation environment against actual combat environment associate among federates on network. us construct virtual combat environment enabling to efficiently manage network traffic among federates(or active nodes) by using active network technique on virtual military training space such as urgent combat field needed to rapidly transfer combat information including image and video, verify its validity by the help of simulation

• Journal of the Korea Computer Graphics Society
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• v.24 no.4
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• pp.1-9
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• 2018

We propose an emotional training framework that can determine the initial symptom of schizophrenia by using emotional analysis method through facial expression change. We use Emotion API in Microsoft to obtain facial expressions and emotion values at the present time. We analyzed these values and recognized subtle facial expressions that change with time. The emotion states were classified according to the peak analysis-based variance method in order to measure the emotions appearing in facial expressions according to time. The proposed method analyzes the lack of emotional recognition and expressive ability by using characteristics that are different from the emotional state changes classified according to the six basic emotions proposed by Ekman. As a result, the analyzed values are integrated into the image color transfer framework so that users can easily recognize and train their own emotional changes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.1
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• pp.17-23
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• 2005

According to the trend that knowledge information and technology become resource of international competitiveness in industrial development, some countries of world are improving national human resource development system through National Occupational Standards, which is inseparable link system of work-education and training-qualification. National Occupational Standards have been developed fur over all industries by Human Resource Development Korea since 2002. Purpose of this study is to develop a competency based curriculum of computer mechanical design department in junior college or polytechnic college by systematic curriculum and instructional development model based on Korean National Occupational Standards. A guide line how to develop education and training program is presented also.