• The Journal of Korean Association of Computer Education
• /
• v.20 no.4
• /
• pp.37-46
• /
• 2017

Since 2018, the level of informatics education that is mandatory in junior high schools depends on the subject matter expertise of Informatics & Computer teachers. The purpose of this study is to analyze whether secondary teacher training institutes provide curriculum that guarantees the subjectivity of Informatics & Computer teachers. In order to achieve the goal, this study first compares curriculum courses for educating Informatics & Computer teachers of Korea secondary teacher training institutes with subjects based on the content system of J07-CS, the informatics education in Japan. Second, we compare the basic subjects offered by the Ministry of Education with the vocational subjects. Third, we analyzed the basic subjects of each university. As a result of the study, the number of informatics-related courses opened by Korean secondary teacher training institutions was insufficient compared to the number of subjects in J07-CS. Even though the standard of comparison was limited to basic subjects, the content elements were insufficient, and the ratio of the basic subjects of each university was low. In order to achieve the goal of informatics education from 2018, it is urgent to improve the curriculum of secondary education teachers.

• Korean Management Science Review
• /
• v.14 no.2
• /
• pp.161-184
• /
• 1997

This research examines the importance of IT training/education, present situation and possible suggestion for the successful training/education. The research method adopts a comparative analytical approach based on questionnaire survey responses from three work groups - managers, employees, and union representatives - drawn from five sample Korean banks. The evidence indicates that all three groups agree that IT improves banking efficiency and reduces job repetitiveness, but their job satisfaction level with IT-based work is surprisingly very low. The main reasons are mainly lack of training/education and poor user manuals. Also the research shows that most respondents would like to get further training/education to more adequately fit them for their jobs. Those from banks which invested in continuing training/education revealed more positive work attitudes and higher job satisfaction.

• Journal of Korea Multimedia Society
• /
• v.22 no.1
• /
• pp.44-54
• /
• 2019

Recently, image-based object detection has made great progress with the introduction of Convolutional Neural Network (CNN). Many trials such as Region-based CNN, Fast R-CNN, and Faster R-CNN, have been proposed for achieving better performance in object detection. YOLO has showed the best performance under consideration of both accuracy and computational complexity. However, these data-driven detection methods including YOLO have the fundamental problem is that they can not guarantee the good performance without a large number of training database. In this paper, we propose a data sampling method using CycleGAN to solve this problem, which can convert styles while retaining the characteristics of a given input image. We will generate the insufficient data samples for training more robust object detection without efforts of collecting more database. We make extensive experimental results using the day-time and night-time road images and we validate the proposed method can improve the object detection accuracy of the night-time without training night-time object databases, because we converts the day-time training images into the synthesized night-time images and we train the detection model with the real day-time images and the synthesized night-time images.

• The Journal of Information Systems
• /
• v.31 no.1
• /
• pp.1-24
• /
• 2022

Purpose The purpose of this study is to investigate the factors that affect the user satisfaction and continuous use intention of the improved ATCIS in the Korean Army. Design/methodology/approach Based on the various theories in relation to IT continuance, user satisfaction was identified as the main factor with regard to the continuous use intention of the improved ATCIS. In addition, computer self-efficacy, education-training, and system quality were hypothesized as antecedent variables to user satisfaction, and information security stress was set as a moderating variable for these relationships. Findings Survey results show that computer self-efficacy, education and training, and system quality had a positive effect on user satisfaction, and information security stress was found to moderate these relationships. The effects of computer self-efficacy and education-training on user satisfaction were higher in the group with low information security stress. However, the relationship between system quality and user satisfaction was higher in the group with high information security stress. User satisfaction is found to have a positive effect on the continuous use intention even with habit considered as a control variable.

• Journal of the Korean Society for Computer Game
• /
• v.31 no.4
• /
• pp.111-119
• /
• 2018

National agencies and corporations are making a lot of efforts to educate mechanics from high school to university and enterprise training center to train as skilled mechanic. but the theoretical training using textbooks and the training using equipment not used in the field did not provide proper maintenance training. And education using special equipment or assuming dangerous situation was very dangerous, so we were carrying out education with video or photo. In recent, there have been a number of cases in which effective training simulations have been researched and developed in order to experience situations and solve problems safely through simulation from simple maintenance to special maintenance by combining VR and AR. This paper describes the comparative study of the existing APIs such as Danuri VR, DisTi Engine and Remote AR for general purpose AR/VR contents. We also proposed a AR/VR API based on Unity 3D Engine for AR/VR maintenance contents. The API can be used for maintenance contents developers efficiently.

• International Journal of Computer Science & Network Security
• /
• v.22 no.4
• /
• pp.387-393
• /
• 2022

The article reflects short-term perspectives on the use of information and communication technologies in the training of teachers for higher education. Education is characterized by conservatism, so aspects of systematic development of the industry are relevant to this cluster of social activity. Therefore, forecasting the introduction of innovative elements of ICT training is in demand for the educational environment. Forecasting educational trends are most relevant exactly in the issues of training future teachers of higher education because these specialists are actually the first to implement the acquired professional skills in pedagogical activities. The article aims to consider the existing potential of ICT-based learning, its implementation in the coming years, and promising innovative educational elements that may become relevant for the educational space in the future. The tasks of scientific exploration are to show the optimal formats of synergy between traditional and innovative models of learning. Based on already existing experience, extrapolation of conditions of educational process organization with modeling realities of using information and communication technologies in various learning dimensions should be carried out. Educational trends for the next 3 years are a rather tentative forecast because, as demonstrated by the events associated with the COVID-19 pandemic, the socio-cultural space is very changeable. Consequently, the dynamism of the educational environment dictates the need for a value-based awareness of the information society and the practical use of technological advances. Thus, information and communication technologies are a manifestation of innovative educational strategies of today and become an important component along with traditional aspects of educational process organization. Future higher education teachers should develop a training strategy taking into account the expediency of the ICT component.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.11
• /
• pp.9-16
• /
• 2020

The TA-50 aircraft is conducting simulated training on various situations, including air-to-air and air-to-ground fire training, in preparation for air warfare. It is also used for pilot training before actual deployment. However, the TA-50 does not have the ability to operate smart weapon forces, limiting training. Therefore, the purpose of this study is to implement the TA-50 aircraft to enable virtual training of one of the smart weapons, the Point Direct Attack Munition (JDAM). First, JDAM functions implemented in FA-50 aircraft, a model similar to TA-50 aircraft, were analyzed. In addition, since functions implemented in FA-50 aircraft cannot be directly utilized by source code, algorithms were extracted using machine learning techniques(TensorFlow). The implementation of this function is expected to enable realistic training without actually having to be armed. Finally, based on the results of this study, we would like to propose ways to supplement the limitations of the research so that it can be implemented in the same way as it is.

• Journal of Information Processing Systems
• /
• v.14 no.6
• /
• pp.1464-1479
• /
• 2018

In face recognition, sometimes the number of available training samples for single category is insufficient. Therefore, the performances of models trained by convolutional neural network are not ideal. The small sample face recognition algorithm based on novel Siamese network is proposed in this paper, which doesn't need rich samples for training. The algorithm designs and realizes a new Siamese network model, SiameseFacel, which uses pairs of face images as inputs and maps them to target space so that the $L_2$ norm distance in target space can represent the semantic distance in input space. The mapping is represented by the neural network in supervised learning. Moreover, a more lightweight Siamese network model, SiameseFace2, is designed to reduce the network parameters without losing accuracy. We also present a new method to generate training data and expand the number of training samples for single category in AR and labeled faces in the wild (LFW) datasets, which improves the recognition accuracy of the models. Four loss functions are adopted to carry out experiments on AR and LFW datasets. The results show that the contrastive loss function combined with new Siamese network model in this paper can effectively improve the accuracy of face recognition.

• Proceedings of the Korean Society for Bioinformatics Conference
• /
• 2003.10a
• /
• pp.53-60
• /
• 2003

생명과학 관련 문서에서의 이벤트 추출은 관련 연구자들의 연구에 많은 도움을 줄 수 있다. 기존의 연구에서는 주로 이벤트 동사에 대해 패턴을 정의한 후에 정의된 패턴에 의해서만 이벤트를 추출하고자하였다. 그러나 모든 패턴을 수동으로 정의하는 것은 너무 많은 비용이 들기 때문에 패턴을 자동 추출 또는 확장하는 방법이 필요하다. 또한 학습을 하기 위해서는 상당수의 학습 말뭉치가 있어야 하는데 그것 또한 충분하지 않은 실정이다. 본 논문에서는 초기 패턴에 의해 생성된 소량의 정답 이벤트로부터 학습한 후 공기정보와 패턴정보를 이용한 Co-training방법으로 패턴 확장 및 이벤트 추출을 시도하였다. 실험 결과, 이벤트 동사의 패턴 정보가 유용한 정보라는 것을 확인할 수 있었고, 후보 이벤트 내의 개체간 공기정보와 문법관계정보 또한 매우 중요한 정보라는 것을 새롭게 보일 수 있었다. GENIA 말뭉치에서 162개의 이벤트 동사에 대해 실험한 결과, 88.02%의 정확률, 79.25%의 재현율을 얻었다.

• The Journal of the Acoustical Society of Korea
• /
• v.16 no.1E
• /
• pp.64-74
• /
• 1997

In many decision making systems, rule-based approaches are used to solve complex problems in the areas of pattern analysis and computer vision. In this paper, we present methods for generating fuzzy IF-THEN rules automatically from training data for pattern classification and high-level computer vision. The rules are generated by construction minimal approximate fuzzy aggregation networks and then training the networks using gradient descent methods. The training data that represent features are treated as linguistic variables that appear in the antecedent clauses of the rules. Methods to generate the corresponding linguistic labels(values) and their membership functions are presented. In addition, an inference procedure is employed to deduce conclusions from information presented to our rule-base. Two experimental results involving synthetic and real are given.