• Title/Summary/Keyword: 훈련자료

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Offshore Diver 관련 자격인증 및 교육현황에 관한 연구

  • Kim, Jae-Ho;Gu, Ik-Hoe;Choe, Jin-Ho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2011.06a
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    • pp.385-387
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    • 2011
  • 최근 우리나라의 해양플랜트 산업 성장과 관련하여 이 같은 산업에 종사하는 필수 인력 가운데 각종 수중작업을 수행하는 고도의 기술을 가진 인적 자원의 확보가 필수적이다. 따라서 본 연구는 우리나라의 산업잠수 종사자 교육 및 훈련실태 그리고 자격요건 등을 조사하고, 선진국에서의 Offshore Diver 종사자를 위한 교육 및 훈련과정과 자격인증 제도 현황을 조사 비교하여 향후 우리나라의 Offshore Diver 인력양성 및 교육의 제반여건을 마련하는데 기초 자료를 제공하기 위한 목적으로 수행하였다.

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Unsupervised Classification of Landsat-8 OLI Satellite Imagery Based on Iterative Spectral Mixture Model (자동화된 훈련 자료를 활용한 Landsat-8 OLI 위성영상의 반복적 분광혼합모델 기반 무감독 분류)

  • Choi, Jae Wan;Noh, Sin Taek;Choi, Seok Keun
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.53-61
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    • 2014
  • Landsat OLI satellite imagery can be applied to various remote sensing applications, such as generation of land cover map, urban area analysis, extraction of vegetation index and change detection, because it includes various multispectral bands. In addition, land cover map is an important information to monitor and analyze land cover using GIS. In this paper, land cover map is generated by using Landsat OLI and existing land cover map. First, training dataset is obtained using correlation between existing land cover map and unsupervised classification result by K-means, automatically. And then, spectral signatures corresponding to each class are determined based on training data. Finally, abundance map and land cover map are generated by using iterative spectral mixture model. The experiment is accomplished by Landsat OLI of Cheongju area. It shows that result by our method can produce land cover map without manual training dataset, compared to existing land cover map and result by supervised classification result by SVM, quantitatively and visually.

Synthetic Training Data Generation for Fault Detection Based on Deep Learning (딥러닝 기반 탄성파 단층 해석을 위한 합성 학습 자료 생성)

  • Choi, Woochang;Pyun, Sukjoon
    • Geophysics and Geophysical Exploration
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    • v.24 no.3
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    • pp.89-97
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    • 2021
  • Fault detection in seismic data is well suited to the application of machine learning algorithms. Accordingly, various machine learning techniques are being developed. In recent studies, machine learning models, which utilize synthetic data, are the particular focus when training with deep learning. The use of synthetic training data has many advantages; Securing massive data for training becomes easy and generating exact fault labels is possible with the help of synthetic training data. To interpret real data with the model trained by synthetic data, the synthetic data used for training should be geologically realistic. In this study, we introduce a method to generate realistic synthetic seismic data. Initially, reflectivity models are generated to include realistic fault structures, and then, a one-way wave equation is applied to efficiently generate seismic stack sections. Next, a migration algorithm is used to remove diffraction artifacts and random noise is added to mimic actual field data. A convolutional neural network model based on the U-Net structure is used to verify the generated synthetic data set. From the results of the experiment, we confirm that realistic synthetic data effectively creates a deep learning model that can be applied to field data.

Subjectivity Study on Broadcasting of Civil Defense Exercise in Nation : Focused on Fire-fighting Officers (국가 민방위 훈련 방송에 대한 주관성 연구 : 소방공무원을 중심으로)

  • Lee, Jei-Young;Kim, Jee-Hee
    • Journal of Convergence for Information Technology
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    • v.9 no.12
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    • pp.216-226
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    • 2019
  • The purpose of this study was to provide basic data for developing strategic programs based on broadcasting of civil defense exercise in nation focused on fire-fighting officers. 33 Q-population (concourse) was selected based on the media related literature review described above, and interviews targeting the general public. As the next step representative statements were chosen randomly and reduced in number to a final 25 statement samples for the purposes of this study. The methodology of a Q-study does not infer the characteristics of the population sample from the sample, selecting of the P-sample is likewise not governed probabilistic sampling methods. Finally, in this research, 41 people were selected as the P-sample.

The Suggest for improving the operation process of vocational education and training institutions (a beauty major of the vocational college) (직업교육 훈련기관 운영과정 개선에 대한 제안 (전문대 미용계열 중심으로))

  • Kim, Yun-Jung;Hong, Mi-Sook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.368-377
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    • 2019
  • The purpose of this study is to examine the present operation process and to suggest the points of improvement so that vocational education and training institutions can be activated more effectively. The subjects of this study were 250 college students who completed or attended the vocational education and training course in Seoul and Gyeonggi-do, and collected 230 data, excluding inappropriate responses. Data analysis was performed by using the statistical package program SPSS Statistics (Ver. 24: IBM, USA). In this study, frequency analysis was conducted to examine the characteristics of data, and crossover analysis was conducted mainly to investigate the correlation between categorical data. The results of this study are as follows: First, it provides information about vocational education and training course to all general high school students at the beginning of the first year of high school, and then, from the first semester of the second grade, do. Second, it is to open four major courses in beauty education at the same time. This makes it possible to acquire qualifications according to four beauty courses during the training period at the training institute rather than the private education institute where private education expenses are incurred. By training all major courses in skin, hair, make-up, and nail art, you will be given the opportunity to carefully determine the major course that fits your aptitude. Based on the results of this research, we propose a plan to improve the vocational education system for vocational high school students who are majoring in cosmetology.

An Analysis of Return on Investment of Corporate e-Learning Program (기업 전자교육훈련프로그램의 교육투자수익률(ROI) 분석)

  • Lee, Hyun-Kyung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2010.07a
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    • pp.479-483
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    • 2010
  • 본 논문에서는 기업의 전자교육훈련프로그램(e-learning program)의 교육투자수익률(ROI)을 산출하여 전자교육훈련프로그램의 효과성을 분석하는 방법을 제안한다. ROI 모델을 통해 전자교육훈련프로그램의 교육투자수익률을 산출하는 것은 결코 쉬운 일이 아니다. 그러나 투자 대비 수익을 중시하는 기업에 있어서 교육투자수익률을 분석하는 것은 교육훈련프로그램의 효과성을 검증하고 투자여부를 결정하는데 있어 매우 중요한 근거가 된다. 본 연구는 특정 회사의 전자교육훈련프로그램의 투자수익률을 산출하여 전자교육훈련프로그램을 운용하는 모든 기업의 전자교육훈련프로그램의 투자수익률을 규명하는 데에 시사점을 제공하고 향후 전자교육훈련프로그램의 투자 및 운용에 있어 중요한 기초 자료를 제공하는 데 목적이 있다.

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A Literature Review of the Influence of Education and Training on Organizational Performance: Focusing on Studies Using the Human Capital Enterprise Panel (HCCP) (교육훈련과 조직성과 간의 영향관계 문헌분석: 인적자본기업패널 (HCCP) 활용 논문을 중심으로)

  • Moon, Dongchul;Han, Jiyoung;Park, Jiwon
    • Journal of Practical Engineering Education
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    • v.14 no.2
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    • pp.393-404
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    • 2022
  • This study attempted to examine the effect of education and training on organizational performance based on HCCP research through the systematic review of previous studies. For this, 29 papers used HCCP data were selected and analyzed, and the research results are as follows. First, the research results showed that education and training had a positive effect on non-financial performance such as organizational commitment and job satisfaction, and financial performance such as sales and operating profit. Second, in order for education and training to affect organizational performance, job satisfaction, organizational culture, and education transfer were found to be important factors. Third, for effective transfer of education and training, it is necessary to establish a system that can be applied to the field after education and training, finally, it suggested the need for research to be conducted to reveal the practical effectiveness of education and training by measuring the degree to which education and training contributed to financial performance more closely.

A Study on Modeling Instruction And Training Program for Korean Private Security Guard (한국 민간경호원 교육프로그램 방향에 관한 연구)

  • Lee, Sang-Chul;Shin, Sang-Min
    • Korean Security Journal
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    • no.9
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    • pp.201-235
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    • 2005
  • This study is designed to contribute for development of Private Security Business by fact-finding in instruction and training of private security guard serviced in this realm and domestic and foreign guard service and modeling effective and rational instruction and training program based on drawn problem. For this study, basically I collected and analyzed documents, theses, and papers of the inside and outside of the country. For practical use of data, I used materials of private security related institutes and police agency. And for private security educating training programs of the inside and outside of the country, I collected materials on internet, and with the help of police agency and interpol. For korean private security company's educating training programs, I made a study with the interview of private security company's businessmen. This study's conclusion is as follows. In a domestic private security enterprise, when set theory instruction minimize instruction and training program and must set up instruction and training program as practical affairs center enemy instruction, and theory instruction must be composed for instruction me that it is connected to practical affairs instruction too. The instruction course of private security guard instruction and training program composed with a security outline, a security plan, an information-gathering, civilian expenses, a security way, terror and terrorism, a related law, security trial, electronic security, a security analysis technique, company introduction, instruction and training program about a professional tube with theory instruction. Practical affairs instruction composed with the selection and a preventive security, close contact attendance security, vehicle security, security driving the security martial arts and self-protection liquor, first aid, security equipment, a gun and shooting, a security protocol, customer satisfaction, facilities security and expenses, a fire fighting instruction, teamwork training, explosive and a dangerous substance, physical strength, a documentation practical affairs, service, instruction and training program about foreigh language instruction.

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A Comparative Study on Institutional Influence Factors of Firm's Motivation of Participating and Investing in Apprenticeship in Germany and Korea (기업의 도제훈련 참여 및 투자 동기의 제도적 영향요인: 독일-한국 비교 연구)

  • LEE, Hanbyul
    • Korean Journal of Comparative Education
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    • v.27 no.1
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    • pp.247-284
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    • 2017
  • The purpose of this study is to analyze firm's motivation of participating and investing in apprenticeship in Germany and Korea, and to investigate institutional factors influencing firm's motivation. By comparing institutional factors of the two countries, it aims to drawing out policy implications for improving Korean apprenticeship. The main method for data collection was comprehensive literature review on international organizations, each countries' government and research institutes' policy materials, statistical data, research outputs and media resources related to each countries' apprenticeship. Considering whether firm's motivation for participating and investing in apprenticeship is production-oriented or investment-oriented, Germany is more inclined to investment motivation with firm's covering net cost during apprenticeship period. On the other hand, Korea is more inclined toward production orientation with firm's expectation of gaining net profit during the training period. Why is firm's training motivation different in these two countries? The author tried to find the reason from the difference of institutional factors of the countries by dividing institutional factors into 4 categories: context(tripartite relations, legal framework), input (flexibility of the system, government incentive), process(training contents, training duration, quality assurance), and output(completion/retention rate, apprentice's productivity). The key implication from the comparative analysis of institutional factors is that it is necessary to enforce companies to have "accountability" on the minimum critical elements, but also to ensure them to have "autonomy" on the rest of the elements.

Trace-based Interpolation Using Machine Learning for Irregularly Missing Seismic Data (불규칙한 빠짐을 포함한 탄성파 탐사 자료의 머신러닝을 이용한 트레이스 기반 내삽)

  • Zeu Yeeh;Jiho Park;Soon Jee Seol;Daeung Yoon;Joongmoo Byun
    • Geophysics and Geophysical Exploration
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    • v.26 no.2
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    • pp.62-76
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    • 2023
  • Recently, machine learning (ML) techniques have been actively applied for seismic trace interpolation. However, because most research is based on training-inference strategies that treat missing trace gather data as a 2D image with a blank area, a sufficient number of fully sampled data are required for training. This study proposes trace interpolation using ML, which uses only irregularly sampled field data, both in training and inference, by modifying the training-inference strategies of trace-based interpolation techniques. In this study, we describe a method for constructing networks that vary depending on the maximum number of consecutive gaps in seismic field data and the training method. To verify the applicability of the proposed method to field data, we applied our method to time-migrated seismic data acquired from the Vincent oilfield in the Exmouth Sub-basin area of Western Australia and compared the results with those of the conventional trace interpolation method. Both methods showed high interpolation performance, as confirmed by quantitative indicators, and the interpolation performance was uniformly good at all frequencies.