• KIPS Transactions on Software and Data Engineering
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• v.8 no.12
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• pp.491-498
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• 2019

Digital twin is a technology that virtualizes physical objects of the real world on a computer. It is used by collecting sensor data through IoT, and using the collected data to connect physical objects and virtual objects in both directions. It has an advantage of minimizing risk by tuning an operation of virtual model through simulation and responding to varying environment by exploiting experiments in advance. Recently, artificial intelligence and machine learning technologies have been attracting attention, so that tendency to virtualize a behavior of physical objects, observe virtual models, and apply various scenarios is increasing. In particular, recognition of each robot's motion is needed to build digital twin for co-robot which is a heart of industry 4.0 factory automation. Compared with modeling based research for recognizing motion of co-robot, there are few attempts to predict motion based on sensor data. Therefore, in this paper, an experimental environment for collecting current and inertia data in co-robot to detect the motion of the robot is built, and a motion prediction model based on the collected sensor data is proposed. The proposed method classifies the co-robot's motion commands into 9 types based on joint position and uses current and inertial sensor values to predict them by accumulated learning. The data used for accumulating learning is the sensor values that are collected when the co-robot operates with margin in input parameters of the motion commands. Through this, the model is constructed to predict not only the nine movements along the same path but also the movements along the similar path. As a result of learning using SVM, the accuracy, precision, and recall factors of the model were evaluated as 97% on average.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.5
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• pp.473-481
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• 2017

Seafarer sea survival training, such as basic safety refresher training and advanced safety refresher training, in accordance with the STCW Convention, is an indispensable program that can increase the crew survival rate during emergency situations at sea. It is important for crew members to carry out theoretical and practical training with various safety equipment in order to effectively train according to IMO model courses. Therefore, this study suggests the following measures to improve safety training facilities for seafarers by reviewing survival training requirements based on the IMO model course and comparing and analyzing related facilities based on operating cases from domestic and overseas training institutes. First, it is necessary to establish a training environment where seafarers can practice utilizing various, updated safety equipment such as marine evacuation equipment (slides, chutes, etc.). Second, it is necessary to construct an educational environment in which learners can directly or indirectly experience realistic emergency situations by installing marine environment simulation facilities with such equipment as a wave generator, rain fall device, wind generating device, etc. Third, it is also necessary to develop and expand customized training using virtual reality equipment in addition to experiential training, audiovisual training and simulation training.

• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.97-103
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• 2001

We developed a Web courseware using multimedia based on STS(Science-Technology-Society) and constructivism on fossil of fourth grade natural science in Primary school, which is recognized to be hard to simulate and watch the phenomena in real life. At present, there are several researches manifesting the effectiveness of the theory with off-line instructional materials. However, there are few results which demonstrate its ability on the Web. The main objective of the paper is to apply the STS theory on a Web courseware and to observe its efficacy. The Web courseware based on the theory allows students to observe and experiment in the Web environment and to have diverse experiences and thoughts through communication via Web. The paper shows that Web courseware based on STS theory can improve its effectiveness in a collaborative learning environment by providing Web facilities such as E-mail, Web search, information sharing, chatting, and so on.

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.3-14
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• 2022

Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.5
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• pp.162-177
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• 2020

The perception of traffic environment based on various sensors in autonomous driving system has a direct relationship with driving safety. Recently, as the perception model based on deep neural network is used due to the development of machine learning/in-depth neural network technology, a the perception model training and high quality of a training dataset are required. However, there are several realistic difficulties to collect data on all situations that may occur in self-driving. The performance of the perception model may be deteriorated due to the difference between the overseas and domestic traffic environments, and data on bad weather where the sensors can not operate normally can not guarantee the qualitative part. Therefore, it is necessary to build a virtual road environment in the simulator rather than the actual road to collect the traning data. In this paper, a training dataset collection process is suggested by diversifying the weather, illumination, sensor position, type and counts of vehicles in the simulator environment that simulates the domestic road situation according to the domestic situation. In order to achieve better performance, the authors changed the domain of image to be closer to due diligence and diversified. And the performance evaluation was conducted on the test data collected in the actual road environment, and the performance was similar to that of the model learned only by the actual environmental data.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.235-238
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• 2006

최근 컴퓨터는 학습의 도구가 아닌 단순한 오락의 도구 정도로 전락하고, 사용자는 컴퓨터 게임에 중독되어 현실 세계와 게임의 가상 세계와의 구분이 모호하여져 학교 공부에 소홀하는 경우, 현실 세계에서 실제 다툼이 일어나는 경우 등 여러 가지 부작용이 발생하고 있다. 본 논문에서는 식물의 성장 과정에 게임의 요소를 더하여 컴퓨터 게임 사용자에게 생명의 소중함을 일깨워 줄 수 있으며 교육적인 효과 또한 거둘 수 있는 교육적 요소가 포함된 게임기의 설계를 제안한다.

• Cartoon and Animation Studies
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• s.50
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• pp.239-273
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• 2018

There have been many topics in gamer research on gamers' game addiction, education, and psychological interest. This paper investigates how to perceive the virtual environment of gamers based on James Gibson 's theories of cognitive science. Gibson's theory is not a stimulus input through individual sensory receptors, but rather a learning process such as establishing a cognitive relationship between perceptual systems, external invariant property separation, behavioral learning, invariant property separation of events, selectiveism development. Based on this analysis tool, I collected and verified gamers' perception of game environment of by FGI survey method. The results of the analysis showed that Gibson 's perceptual learning process was perceived as a virtual environment as in reality, and there was also perceptual difference found only in games. Patterned perception develops in the direction of classifying invariant properties appearing in the game based on the purpose of the game. In this study, it can be seen as a result of the research that FGI interview can be summarized as patterning (typification) perception process based on the goal consciousness of gamers. But,The results of the study suggest that the psychological analysis of the gamer can not be presented by the FGI results alone. In the future, we need a model study to confirm the causality and the verification through statistical analysis.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.2
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• pp.355-361
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• 2013

Various study for technology of agmented reality by using mobile has been progressed in aspect of advantages for mobility and popularity, recently as technology of agmented reality is developing day by day. Mobile agmented reality is technology imaginary informations are grafted into reality by using mobile. That can induce new learning experience showing high interest and interesting for infant education. This thesis is a fishes encyclopedia for infant that was made by displaying pictures as 3D fish model. 3D fish model is possible to turn on the six axis and enlarge and reduce by demand of users. Furthermore, it was made for inducing interesting about book for infant by inserting various sound effect. The resort of using system for infant shows interest and interesting over four times in case infant will learn with fishes encylopedia not previous books.

• Journal of Korea Game Society
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• v.20 no.4
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• pp.101-110
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• 2020

In this study I divided the development history of educational serious games into three periods. from 1995 to 2020 in Korea. I drew out some characteristics of each period. And I analyzed the correlation between the level of technology and learning effects or fun. so I found out some results. According to my analysis, the level of technology and learning effects and fun are not related to successful factors. While play style which is familiar and accessible to students like casual game has been commercially successful. It also confirmed that well-balanced games between fun and learning effects are a key factor in commercial success.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.5
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• pp.31-39
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• 2018

Recently, there has been active studies to provide a user-friendly interface in a virtual reality environment by recognizing user hand gestures based on deep learning. However, most studies use separate sensors to obtain hand information or go through pre-process for efficient learning. It also fails to take into account changes in the external environment, such as changes in lighting or some of its hands being obscured. This paper proposes a hand gesture recognition method based on deep learning that is strong in external environments without the need for pre-process of RGB images obtained from general webcam. In this paper we improve the VGGNet and the GoogLeNet structures and compared the performance of each structure. The VGGNet and the GoogLeNet structures presented in this paper showed a recognition rate of 93.88% and 93.75%, respectively, based on data containing dim, partially obscured, or partially out-of-sight hand images. In terms of memory and speed, the GoogLeNet used about 3 times less memory than the VGGNet, and its processing speed was 10 times better. The results of this paper can be processed in real-time and used as a hand gesture interface in various areas such as games, education, and medical services in a virtual reality environment.