• Economic and Environmental Geology
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• v.52 no.2
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• pp.199-212
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• 2019

In the machine learning techniques, the sampling strategy of the training data affects a performance of the prediction model such as generalizing ability as well as prediction accuracy. Especially, in landslide susceptibility analysis, the data sampling procedure is the essential step for setting the training data because the number of non-landslide points is much bigger than the number of landslide points. However, the previous researches did not consider the various sampling methods for the training data. That is, the previous studies selected the training data randomly. Therefore, in this study the authors proposed several different sampling methods and assessed the effect of the sampling strategies of the training data in landslide susceptibility analysis. For that, total six different scenarios were set up based on the sampling strategies of landslide points and non-landslide points. Then Random Forest technique was trained on the basis of six different scenarios and the attribute importance for each input variable was evaluated. Subsequently, the landslide susceptibility maps were produced using the input variables and their attribute importances. In the analysis results, the AUC values of the landslide susceptibility maps, obtained from six different sampling strategies, showed high prediction rates, ranges from 70 % to 80 %. It means that the Random Forest technique shows appropriate predictive performance and the attribute importance for the input variables obtained from Random Forest can be used as the weight of landslide conditioning factors in the susceptibility analysis. In addition, the analysis results obtained using specific sampling strategies for training data show higher prediction accuracy than the analysis results using the previous random sampling method.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1993.10a
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• pp.3-13
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• 1993

• Proceedings of the Korean Nuclear Society Conference
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• 2005.10a
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• pp.1017-1018
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• 2005

• Journal of Digital Convergence
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• v.14 no.5
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• pp.1-10
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• 2016

New systems and management strategies have been successfully settled in order to be linked to enhancing organizational performance internalization process. The most successful methods for internalization are training and communication strategies. However, the organization must be supported by trust and cooperation cultures for successful education and communication. In this study, we measured the degree of internalization of organized vision, and core values. And then, a successful convergence business strategy internalization plan was presented. Strengthening training plan, communication strategies and management strategies must be internalized in parallel with seeking a change of organizational culture. First, iterative learning is very effective in order to strengthen education and management strategies through talking frequently. Second, chief executive officer should pay attention to communication with employees for the internalization. Finally, in order to change the organizational culture, organizational leaders will establish strategic plan to build open and collaborative culture among colleagues and quantitative and qualitative expansion of the human network.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.127-138
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• 2016

The Korean government has implemented various policies such as establishing new major/department and operating a variety of education programs related with cybersecurity. However, it has not yet been constructed virtuous cycle that can provide appropriate education and training to professionals with the high level and quality. In this study, by surveying and analyzing satisfaction about education and training program aimed at employees in public sector who are in charge of cybersecurity, we suggest the direction of education and training for cybersecurity experts required at the national level.

• Journal of Information Technology Applications and Management
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• v.27 no.2
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• pp.1-21
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• 2020

The purpose of this study is to investigate the behavioral factors affecting the security attitude and intention to use biometrics password based on the protection motivation theory. This study also investigates security awareness training to understand trust, privacy, and security vulnerability regarding biometric authentication password. This empirical analysis reveals security awareness training boosts the protection motivational factors that affect on the behavior and intention of using biometric authentication passwords. This study also indicates that biometric authentication passwords can be used when the overall belief in a biometric system is present. After all, security awareness training enhances the belief of biometric passwords and increase the motivation to protect security threats. The study will provide insights into protecting security vulnerability with security awareness training.

• Journal of Information Science Theory and Practice
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• v.1 no.1
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• pp.10-26
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• 2013

Domain transfer is a widely recognized problem for machine learning algorithms because models built upon one data domain generally do not perform well in another data domain. This is especially a challenge for tasks such as opinion classification, which often has to deal with insufficient quantities of labeled data. This study investigates the feasibility of self-training in dealing with the domain transfer problem in opinion classification via leveraging labeled data in non-target data domain(s) and unlabeled data in the target-domain. Specifically, self-training is evaluated for effectiveness in sparse data situations and feasibility for domain adaptation in opinion classification. Three types of Web content are tested: edited news articles, semi-structured movie reviews, and the informal and unstructured content of the blogosphere. Findings of this study suggest that, when there are limited labeled data, self-training is a promising approach for opinion classification, although the contributions vary across data domains. Significant improvement was demonstrated for the most challenging data domain-the blogosphere-when a domain transfer-based self-training strategy was implemented.

• Journal of The Korean Association of Information Education
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• v.4 no.1
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• pp.98-108
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• 2000

Recently, web based virtual trainings in the teacher training are on the increase. However, we have evaluated only about hardware systems of virtual training systems and considered a question in their good aspects. Now, it is time we evaluate the problems of virtual training systems and search the solutions of them. However, we have no chance to evaluate of problems of each virtual training systems. Therefore, we will analysis management aspects some web based virtual training courses and propose the solutions of them.

• Journal of Navigation and Port Research
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• v.30 no.6 s.112
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• pp.427-432
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• 2006

The purpose of the present study was to investigate the effect of mariner's situation awareness(SA) training on navigation performance using a full mission ship-handling simulator. For this purpose, the mariners were trained in terms of various aspects of SA. Independent variables such as risk levels of ship-to-ship collision, navigational route types of 'target ship(TS)', and number of ships around the own ship(OS) were systematically varied, and dependent variables of closest point of approach(CPA) between TS and OS, number of collision, types of collision-avoidance strategy were measured The results can be summarized as followings. First, training on mariner's SA appeared to induce improved performances in various aspects of ship handling. Second, mariners in the routine navigation situation where TS had priority following maritime rules seemed to suffer to prepare collision avoidance when the TS altered its route. However, this tendency greatly reduced after the training These results suggest the benefit of mariner's SA training on maritime safety.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.6
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• pp.1419-1428
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• 2013

This Study is to suggest marine tourism development strategy of Yeosu city using a A'WOT analysis technique. Main findings of this study are summarized as following. First, SO(strength-opportunity) strategy is considered as the most important strategy and followed by ST(strength-threat), WO(weakness-opportunity) and WT(weakness-threat) strategy. Second, it can be concluded that marine tourism facility and contents development is considered as the most important factor and followed by marine sport-related marine training program development and so on. For further research, more concrete and empirical study is to be performed by each strategy in the future.