• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.467-474
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• 2023

Disaster safety education that can respond when a disaster occurs is very important in Korea, where many human resources are generated due to safety insensitivity. Recently, with the development of virtual reality devices and manufacturing technology, the possibility of using a training system incorporating virtual reality technology in the field of safety education is attracting attention. The virtual training system is very effective for training and education because it has an excellent sense of immersion and allows you to experience various disaster situations without time and space limitations. In this study, cases of disaster safety virtual training contents in Korea are collected and investigated, and the current status of domestic disaster safety virtual training contents is identified and analyzed to identify problems and suggest improvement plans.

• 한국항공운항학회:학술대회논문집
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• 2015.11a
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• pp.286-288
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• 2015

국내 전체 조종사 배출 인원은 연 평균 1,200여명을 훌쩍 넘긴 가운데, 이 중 항공기사용업체를 통해 배출된 조종사 인원은 최근 5년 사이 2~3.5배 이상의 증가추세를 보이며 약 650여명 이상을 배출함으로써 전체 인원의 반 이상을 차지하고 있다. 그러나 현행 법령은 비행훈련과정을 운영하는 대학을 포함하여 항공기사용사업의 업무영역을 고려한 등록 요건 및 안전 고려가 부족하며, 비행훈련은 미래의 조종사를 양성하는 중요한 영역임에도 불구하고 훈련프로그램에 관한 요건이 규정되지 않아 비행안전은 물론, 양질의 조종사 인력양성을 위한 제도적 장치가 부족한 상황이다. 본 연구는 최근 발생한 항공기 사고/준사고 및 안전장애 유형을 토대로 항공기사용사업체에 대해 분석하고, 시행중인 비행훈련에 대한 법과 제도, 안전관련 개선방안에 대해 살펴보고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.79-81
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• 2003

본 논문에서는 위성영상의 강독 분류에 대한 성능 개선을 위하여 ISODATA와 퍼지 C-Means 클러스터링 기법을 이용한 베이시안 최대우도 분류방법을 제안하였다. 본 연구에서는 ISODATA 클러스터링 기법을 이용하여 각각의 분류항목별로 분광특징에 따라 분석가가 선정한 훈련 데이터를 분할하여 새로운 훈련 데이터를 선정함으로써 분류항목별 훈련데이터의 분광적인 특징에 관계없이 분류를 수행할 수 있도록 하였다. 그리고 새롭게 선정된 훈련 데이터를 이용하여 퍼지 C-Means 클러스터링을 수행하고 그 결과를 베이시안 최대우도 분류기법의 사전확률로 이용함으로써 위성영상의 감독 분류에 대한 성능을 개선할 수 있는 방법을 제안한다. 제안된 기법은 Landset TM 위성영상을 이용하여 그 적용성을 시험하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1462-1464
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• 2008

본 논문에서는 정보시스템 운영시 발생하는 사용자 취약성(Human Vulnerability) 문제의 심각성에 대해 알아보고 이를 개선하기 위한 교육 및 훈련 프로그램을 다루고 있는 기존 관련 연구들을 조사 분석 한다. 아울러 기존 연구에서 보완되어야 할 개선 요구사항 들을 도출하여 향후 효과적인 취약성 개선 프로그램 제공을 위한 가상머신에 기반한 보안 훈련장 시스템 아키텍쳐를 제안한다.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.702-712
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• 2014

This article aims to analyse the overview and issues of current disaster management training and exercise program for local government officials who is currently in charge of the disaster management tasks by surveying and interviewing. Main issues that raised in the survey and interview are that current disaster management training and exercise program is not practically related with the current work tasks. Furthermore, the organizational issues including lack of awareness in disaster management from upper and middle management are derived. In order to solve such issues, this article suggests to establish regulations to force local government officials completing certain hours of training and exercise programmes and integrated system that can manages local government officials' training records and to improve awareness of senior officials towards importance of training and exercise in disaster management.

• Journal of Practical Engineering Education
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• v.11 no.2
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• pp.251-258
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• 2019

In order to establish the NIVTPD which is only one qualification training institute for vocational training teachers in Cameroon, the research team taught such as curriculum development methods, course materials development, and lecturing methodology for master teachers of NIVTPD. Also we prepared actual operation of NIVTPD by conducting actual lecture through Pilot training. This paper also includes two different surveys (Base-line and End-line surveys) results and two different tests (pre and post-test) results to assess the impact of training gained in NIVTPD on classroom performance. The results of the survey will be used for the improvement of NIVTPD's educational program through identifying the current state of the vocational training interface and integration, modification and improvement of the curriculum. Examination results can also be used as indicators for vocational training teachers' pedagogical knowledge and for future certification.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.166-171
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• 2008

The present study purposed to analyze factors affecting the effect of cyber education and training in local civil servants focused on the perception of civil servants in Chungcheongnam-do, and to make suggestions for improving cyber education and training for local civil servants. According to the results of analysis in this study, many of the respondents replied that the effect of cyber education was moderate in general (3.0726 on the average). In addition, the effect of cyber education was significantly different according to age and position. That is, the older civil servants were and the higher their position was, the more highly they perceived the effect of cyber education and training. In addition, the result of cyber education and training was affected most by the community of teachers and learners, and next by the contents of education. In order to improve the effect of cyber education, most of all, the contents of education should be diversified, and furthermore, it is keenly required to expand accessibility to cyber education and to deploy personnel exclusive for cyber education.

• Journal of Advanced Navigation Technology
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• v.6 no.3
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• pp.203-210
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• 2002

In this paper, the BER performance of IEEE 802.11a OFDM WLAN system is obtained by simulation and it is shown that the proposed modified channel estimation algorithm improves the channel estimation performance of the system. The wireless channel used in channel simulation includes AWGN and delay spread channel implemented by TDL model. At first, the performance of OFDM WLAN system according to data rate and coding rate defined in standard is evaluated in AWGN channel. Then, imperfect channel estimation in indoor wireless channel is considered. After the performance of conventional channel estimation scheme using only two long training symbols is evaluated, and that of proposed modified channel estimation scheme using additional 8 short training symbol is compared with it. From the simulation results, it is shown that modified channel estimation scheme provides reduced channel estimation error and improves the channel estimation performance due to noise averaging effect with the same preamble format as defined in specification.

• Journal of the Korea Society of Computer and Information
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• v.17 no.5
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• pp.147-155
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• 2012

Police education has shown a pronounced improvement during three eras in American police history. as the Reform Era arrived, the police academy was invented. With it, citizen expectations for the police expanded, and the level of competence exhibited by police grew. After the 1960s came the invention of the FTO and the creation of ongoing, in-service training requirements. in recent years, academics in many places-but by no means everywhere-are taking a more collegial approach to training, aimed especially at COP- style policing and the achievement of genuine professionalism. The Korean police training system is less efficient in education methodology, more inappropriate in the switch system of school education and practice, and poorer in educational environment, among others. Based on my findings, this paper recommends several improvement tips. First, legal stipulations on police training should be integrated and detailed. Second, active participation by preliminary police officers should be emphasized in the class of police training. Third, contents and hours for practice should be emphasized to maximize effects of the "switch system." Fourth, the educational environment of the Academy should be improved.

• Journal of the Korea Society of Computer and Information
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• v.17 no.12
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• pp.71-82
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• 2012

In this paper, we propose a license plate detection method with improved Adaboost learning and MCT (Modified Census Transform). The MCT represents the local structure patterns as integer numbered feature values which has robustness to illumination change and memory efficiency. However, since these integer values are discrete, a lookup table is needed to design a weak classifier for Adaboost learning. Some previous research efforts have focused on minimization of exponential criterion for Adaboost optimization. In this paper, a method that uses MCT and improved Adaboost learning based on Newton's optimization to exponential criterion is proposed for license plate detection. Experimental results on license patch images and field images demonstrate that the proposed method yields higher performance of detection rates with low false positives than the conventional method using the original Adaboost learning.