• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.107-112
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• 2022

Nowadays clusters are recognized as an important instrument for promoting industrial development, innovation, competitiveness and growth. An educational cluster is a set of interrelated vocational educational institutions of various levels that are united by industry with each other and are connected by partnership with industry enterprises. This article attempts to develop and describe cluster model of university students' multilingual training. The purpose of this study is to describe multilingual training of university students and their polycultural competencies formation and to define the process of multilingual training in form of a cluster. The authors consider clusters as an integral part of the educational campus within the concept framework of Shadrinsk State Pedagogical University. To determine the essence of the concept of a cluster model of university students' multilingual training, theoretical, empirical, observational, and diagnostic methods were implemented, such as a review of scientific literature, a compilation of best practices, observation, statistical methods, etc. The authors analyzed the programs of partner universities and organized international webinars and internships for bachelors and masters abroad and developed online courses "Foreign language for undergraduate students and masters". Experimental data obtained during the implementation of cluster training show the effectiveness of the formation of students' polycultural competencies.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.549-551
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• 2003

본 논문은 점점 증가되고 있는 SPAM 메일 문제를 해결하기 위한 방법으로써, 특정 속성에 기반을 둔 학습 알고리즘의 co-training을 통한 전자메일 분류 기법을 제안한다. 전자메일 분류는 결국 문서 분류 기술과 다르지 않다. 이미 많은 연구에서 학습 알고리즘을 이용한 문서 분류 기법은 많이 제안되고 검증되었다. 본 논문에서는 이러한 학습 알고리즘들을 co-training을 통하여 해당 메일이 SPAM인지 아닌지 구분하며, 학습의 효율성을 높이기 위하여 전자메일의 특정한 속성들, 예를 들면, 핵심문구나 기타 특정한 문구 및 전자메일의 헤더 정보 등을 학습 기반으로 이용하였다.

• Journal of National Security and Military Science
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• s.7
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• pp.233-270
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• 2009

Serious game played with a computer in accordance with specific rules, that uses entertainment to further government or corporate training, education, health, public policy, and strategic communication objectives. The main goal of a serious game is usually to train or educate users while giving them an enjoyable experience. Serous games are video games with serious purposes such as teaching or training and whose principal aim is education. The major characteristics of serious games involve pedagogy which are all of the activities that educate, train, or instruct the player. Other characteristics of serious games are that they use entertainment principles, creativity and technology to build games that carry out serious purposes. This study is to introduce a serious game for the military training and to describe the elements of game design for developing it.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.143-148
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• 2021

The article considers the training of specialists in education in the conditions of distance learning. It is lights up the advantages of distance learning and determined the characteristic features of distance learning of students training in the implementation of these technologies in the educational process. The article focuses on the main aspects of computerization of studies as a technological breach in methodology, organization and practical realization of educational process and informative culture of a teacher. Information technologies are intensive involved in life of humanity, educational process of schools and higher educational establishments. Intercommunication is examined between the processes of informatization of the society and education.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.123-124
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• 2019

This paper proposes an improved deep learning method based on small data sets for animal image classification. Firstly, we use a CNN to build a training model for small data sets, and use data augmentation to expand the data samples of the training set. Secondly, using the pre-trained network on large-scale datasets, such as VGG16, the bottleneck features in the small dataset are extracted and to be stored in two NumPy files as new training datasets and test datasets. Finally, training a fully connected network with the new datasets. In this paper, we use Kaggle famous Dogs vs Cats dataset as the experimental dataset, which is a two-category classification dataset.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.11-20
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• 2021

The aim of this paper is to examine the factors that could influence leadership development and employee retention in private sector organizations. In this research, we will seek to determine the nature and extent of the impact of professional training on leadership development. This research project is one of the new topics that some researchers have started in recent years. the novelty of this subject is the inclusion of the vocational training factor. This factor is likely to have a positive impact on leadership development. Some of the factors already known for their impact on leadership development such as personality, power, and material and moral incentives will be adopted. It is assumed that the results of this research will have a positive impact on the development of leadership within companies.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.262-268
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• 2022

The main purpose of the study is to determine information and communication technologies for the innovative development of tourism training in higher education institutions in the context of COVID-19. Innovative development is associated with the rejection of well-known cliches, stereotypes in teaching, upbringing and personal development, creates new standards for personal-creative, individually directed tourism activities, develops pedagogical technologies implemented in this activity. As a result, the main aspects of information and communication technologies for the innovative development of tourist training in higher education institutions in the context of COVID-19 were characterized.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.424-427
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• 2022

본 연구는 도메인 특성이 강한 HR 평가문장을 BERT PLM 모델을통해 4 가지 class 로 구분하는 문제를 다룬다. 다양한 PLM 모델 적용과 training data 수에 따른 모델 성능 비교를 통해 특정 도메인에 언어모델을 적용하기 위해서 필요한 기준을 확인하였다. 또한 Unlabeled 된 HR 분야 corpus 를 활용하여 BERT 모델을 post-training 한 HR-BERT 가 PLM 분석모델 정확도 향상에 미치는 결과를 탐구한다. 위와 같은 연구를 통해 HR 이 가지고 있는 가장 큰 text data 에 대한 활용 기반을 마련하고, 특수한 도메인 분야에 PLM 을 적용하기 위한 가이드를 제시하고자 한다

• Journal of Acupuncture Research
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• v.40 no.1
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• pp.44-52
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• 2023

Background: Previous studies have investigated technology-aided needling training systems for acupuncture on phantom models using various measurement techniques. In this study, we developed and validated a vision-based needling training system (noncontact measurement) and compared its training effectiveness with that of the traditional training method. Methods: Needle displacements during manipulation were analyzed using OpenCV to derive three parameters, i.e., needle insertion speed, needle insertion angle (needle tip direction), and needle insertion length. The system was validated in a laboratory setting and a needling training course. The performances of the novices (students) before and after training were compared with the experts. The technology-aided training method was also compared with the traditional training method. Results: Before the training, a significant difference in needle insertion speed was found between experts and novices. After the training, the novices approached the speed of the experts. Both training methods could improve the insertion speed of the novices after 10 training sessions. However, the technology-aided training group already showed improvement after five training sessions. Students and teachers showed positive attitudes toward the system. Conclusion: The results suggest that the technology-aided method using computer vision has similar training effectiveness to the traditional one and can potentially be used to speed up needling training.

• Journal of Biomedical Engineering Research
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• v.28 no.1
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• pp.117-126
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• 2007

In this paper, we propose an early rehabilitation training system for the improvement of postural balance with multi-modality on a tilting bed. The integration of the visual, somatosensory and vestibular functions is significant to for maintaining the postural control of the human body. However, conventional rehabilitation systems do not provide multi-modality to trainees. We analyzed the characterization of postural control at different tilt angles of an early rehabilitation training system, which consists of a tilting bed, a visual feedback, a computer interface, a computer, and a force plate. The software that we developed for the system consists of the training programs and the analysis programs. To evaluate the characterization of postural control, we conducted the first evaluation before the beginning of the training. In the following four weeks, 12 healthy young and 5 healthy elderly subjects were trained to improve postural control using the training programs with the tilting bed. After four weeks of training, we conducted the second evaluation. The analysis programs assess (center of pressure) COP moving time, COP maintaining time, and mean absolute deviation of the trace before and after training at different tilt angles on the bed. After 4 weeks, the COP moving time was reduced, the COP maintaining time was lengthened, and the mean absolute deviation of the trace was lowered through the repeated use of vertical, horizontal, dynamic circle movement training programs. These results show that this system improves postural balance and could be applied to clinical use as an effective training system.