• Annual Conference of KIPS
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• 2024.05a
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• pp.788-791
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• 2024

온라인 교육의 보급이 증가함에 따라 온라인 학습자의 중도이탈율을 줄이기 위한 효과적인 전략이 필요해 졌다. 본 논문은 인공지능 기술을 온라인 학습 분야에 적용하여 온라인 학습 중도 이탈 문제를 해결하고자 한다. 특히 온라인 교육기관에서 중도이탈예측 시스템을 이미 운영 중인 온라인교육시스템(LMS)을 새롭게 구축하거나 크게 변경하지 않고도 개발 또는 도입이 가능한 방안을 제시한다. 운영 중인 온라인교육시스템(LMS)에 저장되고 있는 온라인 학습자들의 학습자정보 및 학습 이력 데이터를 활용하여 중도 이탈 위험이 있는 학생을 식별하고 맞춤형 관리가 가능하도록 온라인 교육 중도 이탈예측 시스템 개발하고 LMS와 연동하여 서비스는 방법을 제안한다. 이를 통해 온라인교육기관에서는 중도이탈이 있는 학생을 효과적으로 관리함으로써 온라인 교육의 질을 향상시킬 수 있고, 더 많은 수의 온라인 학습자가 성공적으로 과정을 이수할 수 있도록 하는 데 기여할 것이다.

• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.409-414
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• 2024

This paper utilizes artificial intelligence to analyze vocational training evaluation data for people with disabilities and selects the optimal prediction model using various machine learning algorithms. It predicts the job categories most likely to employ trainees based on data such as gender, age, education level, type of disability, and basic learning abilities. The goal is to design customized training programs based on these predictions to enhance training efficiency and employment success rates.

• Journal of Animal Environmental Science
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• v.6 no.2
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• pp.121-130
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• 2000

Pure voice characteristics of sow were analyzed to predict parturition time. These were analyzed by using oscilloscope and Sound Forge and the results showed that the voice frequency and amplitude of sow were in the range of 30∼2,500Hz and -35∼-75dB. According to the sound analysis results, the frequencies of sound appearance from farrowing sow in the farrowing pen for three days prior to delivery day and eight hours of prior to delivery day and eight hours of prior to time were around 85% and 46%, respectively of the total appearance during eight days to delivery. Forecasting of delivery time of farrowing sow using the number of sound occurrences showed a promising result such that those have been increased whenever the delivery time was approached. The forecasting success rates were 100% for both of one day and six hours prior to the actual delivery.

• Korean Journal of Agricultural Science
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• v.27 no.2
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• pp.107-116
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• 2000

Pure voice characteristics of sow were analyzed to predict parturition time. These were analyzed by using oscilloscope and Sound Forge and the results showed that the voice frequency and amplitude of sow were in the range of 30~2,500Hz and -35~-75dB. According to the sound analysis results, the frequencies of sound appearance from farrowing sow in the farrowing pen for three days prior to delivery day and eight hours of prior to time were around 85% and 46%, respectively of the total appearance during eight days to delivery. Forecasting of delivery time of farrowing sow using the number of sound occurrences showed a promising result such that those have been increased whenever the delivery time was approached. The forecasting success rates were 100% for both of one day and six hours prior to the actual delivery.

• Korean Journal of Poultry Science
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• v.39 no.3
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• pp.233-239
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• 2012

Public forecasts for broiler's prices such as Korea Rural Economic Institute (KREI) outlook information are important for producers and agribusiness decision makers in enhancing economic decision making. However, the KREI forecasts have not been fully evaluated so far. In this study agricultural outlook price forecasts for broiler are evaluated under accuracy-based measures and classification-based measures which test the ability to categorize price movements directionally or within a forecasted range. Agricultural outlook price forecasts for broiler are efficient but biased. In the aspect of the monthly direction of price change 59% of its forecasts over the sample period are correct, and actual prices fall within the forecasted range 32% of the time. Results suggest that it is necessary and meaningful for the agricultural outlook center to evaluate the current forecasting method and try to find an alternative method for improving the forecasting technique.

• Journal of the Korean Society for Nondestructive Testing
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• v.30 no.5
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• pp.497-502
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• 2010

Many forces are pressuring utilities to reduce operating and maintenance costs without cutting back on reliability or availability. Many utility managers are re-evaluating maintenance strategies to meet these demands. To utilities how to reduce maintenance costs and extent the effective operating life of equipment, predictive maintenance technique can be adapted. Predictive maintenance has three types program which arc in-house program, engineering company program and mixed program. We can approach successful predictive maintenance program with "smart trust" concept.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.46 no.11
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• pp.18-24
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• 2009

This paper proposes two novel prediction-based adaptive selection cooperation schemes combined with a new relay selection strategy. In the proposed schemes, the destination predicts whether the transmission will be successful or not before a single relay is selected to transmit source's decoded data. Depending on the prediction, the destination feeds back a command to the whole network. Numerical results show that the proposed schemes combined with the relay selection strategy successfully reduce its outage probability, improve its throughput, save transmitted power, and prolong the lifetime of the network.

• Journal of the Korean Society of Propulsion Engineers
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• v.16 no.6
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• pp.32-40
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• 2012

For predicting eigenfrequency and initial growth rate of combustion instabilities in lean premixed gas turbine combustor, linear thermoacoustic analysis model was developed in the current paper. A model combustor was selected for the model validation, which has well-defined inlet and outlet conditions and a relatively simple geometry, compared to the combustor in the previous works. Analytical linear equations for thermoacoustic waves were derived for a given combustion system. It was found that the prediction results showed a good agreement with the measurements, even though there was underestimation for instability frequencies. This underestimation was more obvious for a longer flame (i.e. wider temperature distribution) than for a shorter flame.

• Fire Science and Engineering
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• v.33 no.5
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• pp.48-54
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• 2019

A Large Eddy Simulation (LES), adopting the Eddy Dissipation Concept (EDC) 1-step model, was successfully performed for backdraft phenomena. The activation energy of the finite chemistry reaction in the EDC 1-step model was adjusted to simulate the backdraft. The prediction of the EDC 1-step model was similar to that of the Mixing-Controlled Fast Chemistry (MCFC) model, except when the backdraft occurred. The EDC 1-step model could be used to simulate the experimental peak pressure, but not the first peak pressure of the backdraft.

• Journal of Global Scholars of Marketing Science
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• v.16 no.4
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• pp.39-54
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• 2006

Marketing managers hope to maximize the success rate of new products by satisfying various needs of consumers. For this, an analysis called 'conjoint analysis' has been frequently applied in the process of new product development. This study was performed to compare the predictability of diverse conjoint analyses in choice of general hospitals. The comparison was performed among four models of traditional conjoint analysis and choice-based conjoint analysis. Results show that the hybrid conjoint analysis, which combined the traditional conjoint analysis and the choice-based conjoint model showed the highest predictive accuracy. Still two models show similar estimates of utility.