• Journal of Drive and Control
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• v.18 no.4
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• pp.9-18
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• 2021

This study proposes a method for creating learning datasets to recognize obstacles using deep learning algorithms in automated construction machinery or an autonomous vehicle. Recently, many researchers and engineers have developed various recognition algorithms based on deep learning following an increase in computing power. In particular, the image classification technology and image segmentation technology represent deep learning recognition algorithms. They are used to identify obstacles that interfere with the driving situation of an autonomous vehicle. Therefore, various organizations and companies have started distributing open datasets, but there is a remote possibility that they will perfectly match the user's desired environment. In this study, we created an interface of the virtual simulator such that users can easily create their desired training dataset. In addition, the customized dataset was further advanced by using the RDBMS system, and the recognition rate was improved.

• International Commerce and Information Review
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• v.13 no.2
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• pp.121-148
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• 2011

Korean small and medium sized firms are dramatically expanding during the past two decades. Since small and medium sized firms begun to invest overseas to cope with the external and internal business environment. the influencing factors should defined for the successful foreign investment. This paper presents the research model explaining successful knowledge transfer between Korean small and medium sized firms and partners for foreign investment. This model examines investing companies' organizational characteristics, partners' learning capability and relational characteristics between two partners. Detail variables include the learning culture and codifiability of investing companies, and absorptive capability of partners, and communication and trust as a relational factors between investing companies and partners. The result of empirical analysis of sample companies shows that knowledge culture and codifiability of investing companies, and communication from the relational factors are important for knowledge transfer. These results provide some implications for the successful foreign investment of small and medium sized firms. Firstly the investing company should develop its own learning culture and internal procedure for the successful foreign investment. And frequent communication channel is necessary for knowledge transfer and the trustful relationship between investors and partner.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.293-294
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• 2015

본 논문에서는 컴퓨터 프로그래밍 학습을 하는 학습자들을 대상으로 프로그래밍 학습 영역별로 학습자들의 프로그래밍 능력에 대한 자기효능감과 실제 능력을 실험을 통해 측정하여 비교해보고 능력에 비해 과한 자기효능감을 가질 경우 프로그래밍 학습에 어떠한 영향을 미치는지에 대해 연구해보고자 한다.

• The Mathematical Education
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• v.53 no.1
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• pp.57-73
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• 2014

This study investigated the connections of mathematical thinking of students at the second, fourth, and sixth grades with regard to multiplication, fraction, and proportion, all of which have multiplicative structures. A paper-and-pencil test and subsequent interviews were conducted. The results showed that mathematical thinking including vertical thinking and relational thinking was commonly involved in multiplication, fraction, and proportion. On one hand, the insufficient understanding of preceding concepts had negative impact on learning subsequent concepts. On the other hand, learning the succeeding concepts helped students solve the problems related to the preceding concepts. By analyzing the connections between the preceding concepts and the succeeding concepts, this study provides instructional implications of teaching multiplication, fraction, and proportion.

• Journal of the Korean Home Economics Association
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• v.48 no.8
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• pp.51-65
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• 2010

This research explored the importance of conflict resolution in communication between adolescents and their parents. A teaching and learning plan on communication using the Active listening, I-message method and no-lose conflict resolution method was developed and applied to teaching the 'Communication among Family Members' unit in the middle school home economics and technology textbook. The experimental class of 203 students using the active listening, I message and no-lose conflict resolution method in communication was compared with a comparative class of 163 students using only the active listening and I message method, investigating the amounts of communication, conflicts, functional communication and degree of satisfaction the students perceived regarding relationships with their parents via pre and post tests. Both groups showed significant increases in their amounts of communication and functional communication. However, only the experimental class showed an increase in their degree of relationship satisfaction with their parents. Both groups evaluated the lesson positively.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.3
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• pp.455-464
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• 2020

With a variety of data types and high utilization of data, non-relational databases are a popular data storage because it supports better availability and scalability. The increasing use of this technology also brings the risk of NoSQL injection attacks. Existing works mostly discuss the rule-based detection of NoSQL injection attacks that it is hard to deal with NoSQL queries beyond the coverage of the rules. In this paper, we propose a model for detecting NoSQL injection attacks. Our model is based on deep learning algorithms that select features from NoSQL queries using CNN, and classify NoSQL queries using RNN. Also, we experiment the proposed model to compare with existing models, and find that our model outperforms traditional models in terms of detection rate.

• Journal of the Korean association of regional geographers
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• v.22 no.4
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• pp.912-930
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• 2016

This paper suggests to bring the idea of social construction of nature or social nature discussed in social science including geography to geographical and environmental education for breaking traditional divide of people(or society) and nature. And this paper analyzed relationship between people and nature, meaning of environment and the concepts of social nature represented in the geography curriculum and textbook of England, Australia and Korea. Recently in terms of focusing disciplines or education on integration or convergence, introduction of social nature in teaching and learning geography and environment has an important implication. With rapid growth of capitalism, nature is constructed socially by the political, economical, social and cultural practice. Thus geography education reduces the distance between human geography and physical geography and needs to focus on exploring not just the relationship between people and nature but social construction of nature. Another implication of the introduction of social nature in teaching and learning geography and environment is that students can develop the relational sensitivity about the relationship people and nature or people and place.

• Journal of the Korean School Mathematics Society
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• v.8 no.2
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• pp.273-289
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• 2005

This research was implemented to know how mathematics education is performed both in a school and in the private institute based on Skemp' Theory that strongly takes an emphasis on understanding of mathematics principle. On this study, I compare the method of a teacher in a school with in a private institute accompanying the analysis of textbook in teaching. The results are the followings: First, textbooks used in a school and an institute are not helpful for relational understanding of students, and the textbook used in school was more suitable for students than that in institute. Second, in the case of teaching methods, school teacher has focused more relational schema with the students than an private institute institutor, As we said, in school mathematics education is implemented focusing on the understanding of mathematics. According to this, students should to trust public education more than private institute in constructing schema in mathematics learning.

• Korea Journal of Hospital Management
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• v.17 no.2
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• pp.52-72
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• 2012

In this study, we examined the effect of customer satisfaction and switching cost on continuous use intention to suggest how organizations can retain their customers when market growth slows down and competition becomes stronger. We carefully developed and modified survey instruments through a pre-test, and subsequently surveyed 432 dental care users in Seoul and Busan areas. As a result of regression analysis, higher procedural learning switching cost, relational switching cost, and customer satisfaction were manifested in the increased continuous use intention. In contrast, higher financial switching cost and customer satisfaction with insufficient effort for information acquisition led to decreased switching intention. In addition, procedural initial switching cost and residents in Seoul led to increased switching intention. Understanding continuous use intention and switching intention is important for healthcare institutions striving to maintain market position. The findings of this study suggest a paradigm shift from conventional transactional marketing to strategic relational marketing to be effective in the healthcare environment today.

• Communications for Statistical Applications and Methods
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• v.30 no.5
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• pp.501-516
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• 2023

Knowledge distillation (KD) refers to extracting knowledge from a large and complex model (teacher) and transferring it to a relatively small model (student). This can be done by training the teacher model to obtain the activation function values of the hidden or the output layers and then retraining the student model using the same training data with the obtained values. Recently, relational KD (RKD) has been proposed to extract knowledge about relative differences in training data. This method improved the performance of the student model compared to conventional KDs. In this paper, we propose a new method for RKD by introducing a new loss function for RKD. The proposed loss function is defined using the area difference between the teacher model and the student model in a specific hidden layer, and it is shown that the model can be successfully compressed, and the generalization performance of the model can be improved. We demonstrate that the accuracy of the model applying the method proposed in the study of model compression of audio data is up to 1.8% higher than that of the existing method. For the study of model generalization, we demonstrate that the model has up to 0.5% better performance in accuracy when introducing the RKD method to self-KD using image data.