• Transactions of the Korean Society of Mechanical Engineers A
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• v.23 no.11 s.170
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• pp.1929-1939
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• 1999

This paper presents a neural network approach, which was named PRONET, to 3D object recognition and pose calculation. 3D objects are represented using a set of centroidal profile patterns that describe the boundary of the 2D views taken from evenly distributed view points. PRONET consists of the training stage and the execution stage. In the training stage, a three-layer feed-forward neural network is trained with the centroidal profile patterns using an error back-propagation method. In the execution stage, by matching a centroidal profile pattern of the given image with the best fitting centroidal profile pattern using the neural network, the identity and approximate orientation of the real object, such as a workpiece in arbitrary pose, are obtained. In the matching procedure, line-to-line correspondence between image features and 3D CAD features are also obtained. An iterative model posing method then calculates the more exact pose of the object based on initial orientation and correspondence.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.299-309
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• 2023

This study examines the paradigm shift in vocational training with the introduction of remote training, which has been conducted fragmentarily by project, to respond to the COVID-19 pandemic. It analyzes the operation's problems and limitations by dividing the remote training process from assessment to budget execution by subject, stage, and procedure. Additionally, it collects various stakeholders' opinions to propose improvement plans for the vocational training support system to effectively respond to the paradigm shift in vocational training in the digital and non-face-to-face era. The study assumes that the assessment of training institutions and the training process should be innovated in a way that can accommodate the direction of vocational training in the digital and non-face-to-face era instead of focusing on traditional collective training. Based on this premise, it suggests ways to enhance the pre-approval screening system and the training institution assessment system.

• International Journal of Railway
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• v.2 no.2
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• pp.50-59
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• 2009

Numerous train operating companies provide training by means of driving simulators. A detailed analysis in the course of the rail research project 2TRAIN has shown that the simulation technology, the purposes of training and the overall concept of simulator-based training are rather diverse (Schmitz & Maag, 2008). A joint factor however are weak assessment capabilities and the fact that the simulator training is often not embedded into the overall competence management. This fact hinders an optimal use of the simulators. Therefore, 2TRAIN aims at the development of enhanced training and assessment tools. Taking into account that several simulators are already in use, the focus lays on the extension of existing simulation technology instead of developing entirely new systems. This extension comprises (1) a common data simulation interface (CDSI), (2) a rule-based expert system (ExSys), (3) a virtual instructor (VI), and (4) an _assessment database (AssDB). The foundation of this technical development is an assessment concept (PERMA concept) that is based on performance markers. The first part of the paper presents this assessment concept and a process model for the two major steps of driver performance assessment, i.e. (1) the specification of exercise and assessment and (2) the assessment algorithm and execution of the assessment. The second part describes the rationale and the functionalities of the simulator add-on tools. Finally, recommendations for further technical improvement and appropriate usage are given. based on the results of a pilot study.

• The Journal of Korean Physical Therapy
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• v.32 no.2
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• pp.70-74
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• 2020

Purpose: This study examined whether 1) the motor inhibition response as cognitive-behavioral component is learning though a stop signal task using stop-signal paradigm, and 2) whether there is a difference in the learning degree according to imagery training and actual practice training. Methods: Twenty young adults (males: 9, females: 11) volunteered to participate in this study, and were divided randomly into motor imagery training (IT, n=10) and practice training (PT, n=10) groups. The PT group performed an actual practice stop-signal task, while the IT group performed imagery training, which showed a stop-signal task on a monitor of a personal computer. The non-signal reaction time and stop-signal reaction time of both groups were assessed during the stop-signal task. Results: In the non-signal reaction time, there were no significant intra-group and inter-group differences between pre- and post-intervention in both groups (p>0.05). The stop-signal reaction time showed a significant difference in the PT group in the intra-group analysis (p<0.05). On the other hand, there was no significant intra-group difference in the IT group and inter-group difference between pre- and post-intervention (p>0.05). Conclusion: These results showed that the motor inhibition response could be learned through a stop-signal task. Moreover, these findings suggest that actual practice is a more effective method for learning the motor inhibition response.

• Journal of the Society of Disaster Information
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• v.14 no.2
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• pp.211-218
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• 2018

Purpose: The purpose of this study is to find a way to use the disaster drill system that can be used in the training in the required situation in the safety training situation in the safety industry to prepare for the disaster in the energy industry field by utilizing the developed system. Method: In order to accomplish the purpose of the research, I investigated the papers, reports, statistical data, and visited the site to investigate the training situation. Results: Disaster response safety Korean training is not only responding to disasters but also cooperating activities with local governments and related organizations. The contents are complex, diverse, and multifaceted. Conclusion: The disaster training system should be applied to the self training of the organization to prepare for the disaster and the safety training for disaster response in Korea.

• Journal of Physiology & Pathology in Korean Medicine
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• v.22 no.5
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• pp.1047-1056
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• 2008

If we can evaluate the training results more appropriately and analyze the psychological changes in more objectively, the training can be more efficient and it can help to solve the problems during the training. This research analyzed the similarity and differences of Yangseng Qigong and psychological skill training's components and measurement methods. Also, the research further studied psychological skill training's measurement method. Results : The measurement type of Yangseng Qigong are Sagong, a record of Sagong, Damgong, IIgi, and Sogyeol. Similarly, the measurement type of psychological skills training are questionnaire, interview, personal profile, and observation of a single subject. Despite the similarities between the measurement type of Yangsaeng Qigong and psychological skills training, unfortunately there are differences in the contents. Thus, If we introduce strengths of each method to the other, we may have better measurement methods. The questionnaire method of psychological skills training is the most commonly used method, because it gives concrete, objective, reliable and highly reproducible results. If we refer to the questionnaire development process in psychological skills training, we can have objective and concrete measurement tool for Yangsaeng Qigong training. In the psychological skills training measurement tool development process, there are 5 stages; test conception, test preparation, test execution, question analysis, and test modification. Furthermore, the requirements for the good survey are reliability, validity, practicality, and cultural appropriateness. Through this study, we reached the conclusion that we need to combine two methods together to develop a better method because Yangsaeng Qigong places importance on comprehensive method and realization while psychological skills training places importance on analytical method and objective evaluation. And It seems that a practical study is needed to resolve the concerete problems of Yansaeng Qigong through these concrete cases.

• Journal of the Korean Institute of Educational Facilities
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• v.19 no.2
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• pp.13-19
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• 2012

Under the WTO, UIA asks professional degree programs such as B.Arch program, practical experience, and an examination to meet the international requirements. In this context, we are started professional degree programs. Following the foundation of KAAB, Korean architectural education sectors have made substantial changes throughout the nation. There was lots of discussions about education system, however, we are lack of discussing about internship program in Korea. Therefore, this research was intended to review the professional practice program in other countries for the purpose of propose our education program. The specific content deals with various issues, like CPD and foreign architect legislations, and the recent korean legislation reform of 'Architect Law' centered upon Professional Training System. The aim is to identify the examples of forms and contents regarding the execution of new Professional Training System in current conditions.

• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.6
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• pp.797-805
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• 2019

Threats targeting cyberspace are becoming more intelligent and increasing day by day. To cope with such cyber threats, it is essential to improve the coping ability of system security officers. In this paper, we propose a simulated threat generator that automatically generates cyber threats for cyber defense training. The proposed Simulated Threat Generator is designed with MITRE ATT & CK(Adversarial Tactics, Techniques and Common Knowledge) framework to easily add an evolving cyber threat and select the next threat based on the threat execution result.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.143-152
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• 2021

It is very important to learn behavioral policies that allow multiple agents to work together organically for common goals in various real-world applications. In this multi-agent reinforcement learning (MARL) environment, most existing studies have adopted centralized training with decentralized execution (CTDE) methods as in effect standard frameworks. However, this multi-agent reinforcement learning method is difficult to effectively cope with in a dynamic environment in which new environmental changes that are not experienced during training time may constantly occur in real life situations. In order to effectively cope with this dynamic environment, this paper proposes a novel multi-agent reinforcement learning system, C-COMA. C-COMA is a continual learning model that assumes actual situations from the beginning and continuously learns the cooperative behavior policies of agents without dividing the training time and execution time of the agents separately. In this paper, we demonstrate the effectiveness and excellence of the proposed model C-COMA by implementing a dynamic mini-game based on Starcraft II, a representative real-time strategy game, and conducting various experiments using this environment.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.674-684
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• 2023

In this paper, a real-time prediction technique for gravity disturbances is proposed using a multi-layer perceptron (MLP) model. To select a suitable MLP model, 4 models with different network sizes were designed to compare the training accuracy and execution time. The MLP models were trained using the data of vehicle moving along the surface of the sea or land, including their positions and gravity disturbance. The gravity disturbances were calculated using the 2160^th degree and order EGM2008 with SHM. Among the models, MLP4 demonstrated the highest training accuracy. After training, the weights and biases of the 4 models were stored in the embedded computer of the INS to implement the MLP network. MLP4 was found to have the shortest execution time among the 4 models. These research results are expected to contribute to improving the navigation accuracy of INS through gravity disturbance compensation in the future.