• 항공우주기술
• /
• 제1권2호
• /
• pp.75-82
• /
• 2002

본 연구에서는 인공위성의 정현파 가진시험을 위한 여러 입력, 요구조건 그리고 노치예측 해석에 대한 내용을 정리하였다. 노치예측 해석에서는 인공위성의 가진위치 하중 및 중요 내부연결점의 하중을 구하였고, 이 값들을 이용하여 각 부위의 한계하중 및 안전여유를 검토한 후 정현파 가진시험에 이용할 입력을 생성하였다.

• 한국기계가공학회지
• /
• 제18권10호
• /
• pp.42-47
• /
• 2019

Helical machining is an efficient method for machining holes using an endmill. In this study, a surface roughness prediction model was constructed for improving the productivity of hole machining. Experiments were conducted to form holes by the helical machining of AL6061-T4 aluminum sheets and correlation analysis was performed to examine the relationships between the variables based on the measured results. Meanwhile, a regression analysis technique was used to construct and evaluate the prediction model. Through these analyses, the parameter which has the greatest influence on the surface roughness when the hole is formed by the helical machining is the feed, followed by the number of revolutions of the endmill. Moreover, for the axial feed of the endmill, it was concluded that the influence of the surface roughness is small compared to the other two parameters but it is a factor worth considering to improve the accuracy when constructing the predictive model.

• 한국멀티미디어학회논문지
• /
• 제25권2호
• /
• pp.157-165
• /
• 2022

As the stock market is affected by various circumstances including economic and political variables, predicting the stock market is considered a still open problem. When combined with corporate financial statement data analysis, which is used as fundamental analysis, and technical analysis with a short data generation cycle, there is a problem that the time domain does not match. Our proposed method, LSTE the operating profit and market outlook of a petrochemical company and estimates the sales and operating profit of the company, it was possible to solve the above-mentioned problems and improve the accuracy of stock price prediction. Extensive experiments on real-world stock data show that our method outperforms the 8.58% relative improvements on average w.r.t. accuracy.

• International Journal of Advanced Culture Technology
• /
• 제11권3호
• /
• pp.190-198
• /
• 2023

Sentiment analysis can be applied to all texts generated from websites, blogs, messengers, etc. The study fulfills an artificial intelligence sentiment analysis estimating visiting evaluation opinions (reviews) and visitor ratings, and suggests a deep learning model which foretells either an affirmative or a negative inclination for new reviews. This study operates review big data about Jeju tourist attractions which are extracted from Google from October 1st, 2021 to November 30th, 2021. The normalization data used in the propensity prediction modeling of this study were divided into training data and test data at a 7.5:2.5 ratio, and the CNN classification neural network was used for learning. The predictive model of the research indicates an accuracy of approximately 84.72%, which shows that it can upgrade performance in the future as evaluating its error rate and learning precision.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
• /
• pp.1206-1208
• /
• 2003

The extraction of earthquake damage from remote sensed imagery requires high spatial resolution and temporal effectiveness of acquisition of imagery. The analog photographs and visual interpretation were taken traditionally. Now it is possible to acquire damage information from many commercial high resolution RS satellites. The key techniques are processing velocity and precision. The authors developed the automatic / semiautomatic image process techniques including feature enhancement, and classification, designed the emergency Earthquake Damage and Losses Evaluate System based on Remote Sensing (RSEDLES). The paper introduced the functions of RSEDLES as well as its application to the earthquakes occurred recently.

• 국제학술발표논문집
• /
• The 6th International Conference on Construction Engineering and Project Management
• /
• pp.702-703
• /
• 2015

Currently, according to the climate change, serious damage by Typhoon has been occurred in the world. In this respect, the research on the damage prediction model to minimize the damage from various natural disaster has been conducted in several developed countries. In the case of U.S, various damage prediction models of buildings from natural disasters have been used widely in many organizations such as insurance companies and governments. In South Korea, although studies regarding damage prediction model of hurricane have been conducted, the scope has been only limited to consider the property of hurricane. However, it is necessary to consider various factors such as socio-economic, physical, geographical, and built environmental factors to predict the damages. Therefore, to address this issue, correlation analysis is conducted between various variables based on the data of hurricane from 2003 to 2012. The findings of this study can be utilized to develop for predicting the damage of hurricane on buildings.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제14권2호
• /
• pp.907-923
• /
• 2020

For the severe haze situation in the Beijing-Tianjin-Hebei region, conventional fine particulate matter (PM2.5) concentration prediction methods based on pollutant data face problems such as incomplete data, which may lead to poor prediction performance. Therefore, this paper proposes a method of predicting the PM2.5 concentration based on image analysis technology that combines image data, which can reflect the original weather conditions, with currently popular machine learning methods. First, based on local parameter estimation, autoregressive (AR) model analysis and local estimation of the increase in image blur, we extract features from the weather images using an approach inspired by free energy and a no-reference robust metric model. Next, we compare the coefficient energy and contrast difference of each pixel in the AR model and then use the percentages to calculate the image sharpness to derive the overall mass fraction. Furthermore, the results are compared. The relationship between residual value and PM2.5 concentration is fitted by generalized Gauss distribution (GGD) model. Finally, nonlinear mapping is performed via the wavelet neural network (WNN) method to obtain the PM2.5 concentration. Experimental results obtained on real data show that the proposed method offers an improved prediction accuracy and lower root mean square error (RMSE).

• 설비공학논문집
• /
• 제23권9호
• /
• pp.587-594
• /
• 2011

This paper describes the investigation on current state of cold storage facilities, and analysis on the demand prediction in the near future. And based on the analysis results, we prospect the scale of cold storage facilities in the near future. The main analysis results are summarized by the followings ; The present circumstances of cold storage facility are determined by investigating actual loading capacity, average stock amounts, and return number of cold storage facility. From the results, the present situation for cold storage facility is about 3% over. It is found that the average stock amounts increase gradually, and accordingly that the demand of cold storage facility is predicted to be increased, resulting that the capacity of cold storage facilities in 2013 expects to reach up to 5,250,000 ton. It is considered that the results of demand prediction has significant implications on the management of cold storage facility in the near future.

• 한국산학기술학회논문지
• /
• 제9권4호
• /
• pp.871-877
• /
• 2008

Adaptive 아크 로봇 용접을 위한 용접 공정 변수와 용접 부 형상 사이에 상관관계를 조사하는 것은 중요한 일이다. 하지만 맞대기 용접의 공정에 있어 갭으로 인해 정확한 이면비드를 예측하는 것은 어려운 일이다. 본 연구에서는, 먼저 맞대기 용접을 통해 외부 용접 조건과 용접 비드 형상사이 상관관계가 규명되었고, 이를 응용하여 적절한 이면비드를 얻기 위한 개발이 이루어졌고, 이 연구결과는 산업 전 분야에 폭넓게 사용될 수도 있다. 다중회귀분석법이 공정변수 예측을 위한 연구방법으로 적용되었다. 예측방법의 결과들 또한 비교 및 분석이 이루어졌다.

• 대한조선학회논문집
• /
• 제39권1호
• /
• pp.90-99
• /
• 2002

선체에 존재하는 균열의 전파거동을 해석하기 위해서는 응력강도계수의 추정이 그 전제조건이 되지만 현재까지 이러한 복잡 구조물에서 응력강도계수를 간편하게 계산하는 방법이 확립되어 있지 못하다는 점이 가장 큰 걸림돌이 되고 있다. 본 연구에서는 선체와 같이 부정정도가 매우 큰 복잡 구조물에서의 균열전파 거동을 추정하기 위한 전 단계로서 다양한 형태의 균열에 대한 응력강도계수를 용이하게 계산하기 위하여 무균열 상태에서의 응력해석 결과에 기초한 응력강도계수의 간이 추정법을 유도하고, 다른 연구자들의 실험 및 해석 결과와 비교하여 제안된 방법의 유용성을 검증하였다.