• 한국안전학회지
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• 제32권3호
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• pp.130-135
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• 2017

This study deal with the traffic accident. The purpose of this study is to develop the accident density models reflecting the transportation and socioeconomic characteristics based on 230 zones of Korea. In this study, The models which are tested to be statistically significant are developed through multiple linear regression analysis. The main research results are as follows. First, in the transportation-based model, road length, avenue ratio, number of intersections and tunnels are analyzed to be positive to the model, however, school zone is analyzed to be negative to the model. Second, in the socioeconomic-based model, population density, transportation vulnerable ratio, children and truck ratio are analyzed to be positive to the model. Finally, in the integrated models, road ratio, population density, transportation vulnerable ratio, children ratio, truck ratio and number of companies are analyzed to be positive, however, school zone is analyzed to be negative to the model. This results could be expected to give good implications to accident-reduction policy-making.

• 한국보건간호학회지
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• 제29권2호
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• pp.165-176
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• 2015

Purpose: This study was conducted to examine the relationships of depression symptom, self-esteem, and stress with health-related quality of life(HRQOL) in patients with hypertension registered to a community health center. Methods: This study was a correlational survey using a convenience sampling. A total of 110 patients diagnosed with hypertension were recruited from a health center in Gyeonggi-do. The questionnaires used were the Cardiovascular Disease Specific-HRQOL questionnaire, Center for Epidemiologic Studies Depression, Rosenberg Self-Esteem Scale, and Perceived Stress Scale. The acquired data were analyzed using IBM SPSS version 22.0. Multiple linear regression analysis was performed. Results: Moderate depression symptom(${\beta}=-.368$, p<.001), severe depression symptom (${\beta}=-.450$, p<.001), stress(${\beta}=-.339$, p=.001), and gender(${\beta}=-.148$, p=.049) were significant predictors for the HRQOL. Multiple linear regression showed that 51.8% ($R^2=.518$) of the variance in the HRQOL was explained. Conclusion: Based on these results, development of an intervention or education program, to decrease depression symptoms and stress is recommended. This may improve the HRQOL in patients with hypertension registered to a community health center.

• Near Infrared Analysis
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• 제1권2호
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• pp.35-39
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• 2000

The purpose of this research was to find out suitable soil sample preparation and sample holding tools for NIR reflection radiation for estimating soil components. NIR reflectance was scanned at 2nm intervals from 1,100 to 2,500nm with an InfraAlyzer 500(Bran+Luebbe Co.). Coarse(2.0mm) and fine(0.5mm) soil sample and various sample holding tools were used to obtain mean diffuse reflection of the soil for the calibration and validation of the calibration set in estimating moisture, organic matter and total nitrogen of the soils. Multiple linear regression was used to obtain the best correlation of NIR spectroscopy method. Correlation of NIR spectroscopy method. Correlation of NIR spectra for finely and coarsely sized soil did not show much difference. The standard errors of prediction(SE) using different types of sample holding tools for organic matter, total nitrogen and soil moisture were better than 0.765, 0.041 and 0.63% respectively. From the results it can be concluded that NIR spectroscopy with flow type cell could be used as a fast routine testing method in quantitative determination of organic matter, total nitrogen and soil moisture.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.33-40
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• 2020

The main aim of the study is to test a house pricing model by combining hedonic and asset-based pricing models. An understanding of the relationship between house pricing and its return (the rental income) helps to establish houses as a significant asset class. The model tested the relationship between house pricing (dependent variable) and the house attributes (independent variables) derived from Freeman's framework of housing attributes. This study uses a large data-set of 1,899 sample of new, high-end houses purchased between 2016 and 2019 collected from the national capital region of India (Delhi-NCR). The algorithm was built in R-Script, and stepwise multiple linear regression was used to analyze the model. The analysis of the model proves that the three significant variables, namely, carpet area, pay-off, and annual maintenance charges explain the price function. Further, the model is statistically fit. The major contribution of the study is to understand the key factors and their influence on the house pricing. The model will be helpful in risk assessment in the housing investment and enhance the chances of investment. Policy-makers can use information about the underlying valuation drivers of the house prices to stabilize the market and also in framing the tax policies.

• 반도체디스플레이기술학회지
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• 제9권3호
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• pp.17-21
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• 2010

As the compact and easily accessible handheld devices, such as cellular phones and MP3 players equipped with image acquisition functionality, are becoming widely available among common users, various applications of images are rapidly increasing. Image related services and software such as web-based image presentation and image manipulation for personal or commercial purpose enable users to view contents of remote image archive and to manipulate enormous amount of images in local or network based storage as well. It is necessary for users to identify the images efficiently so that the same images are perceived as one physical entity instead of recognizing them as different images as the trends are getting stronger. In order to support this environment, we propose a method that generates image identifiers or indexing for images within a solid and efficient manner. The proposed image identifier utilizes multiple index values. The integration of component index values creates a unique composite value that can be used as a file name, file system identifier, or database index. Our experimental results on generation of constituent index values have shown favorable results.

• Journal of Information Processing Systems
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• 제14권6호
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• pp.1508-1520
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• 2018

In this paper, we propose an improved model to provide users with a better long-term prediction of waterworks operation data. The existing prediction models have been studied in various types of models such as multiple linear regression model while considering time, days and seasonal characteristics. But the existing model shows the rate of prediction for demand fluctuation and long-term prediction is insufficient. Particularly in the deep running model, the long-short-term memory (LSTM) model has been applied to predict data of water purification plant because its time series prediction is highly reliable. However, it is necessary to reflect the correlation among various related factors, and a supplementary model is needed to improve the long-term predictability. In this paper, convolutional neural network (CNN) model is introduced to select various input variables that have a necessary correlation and to improve long term prediction rate, thus increasing the prediction rate through the LSTM predictive value and the combined structure. In addition, a multiple linear regression model is applied to compile the predicted data of CNN and LSTM, which then confirms the data as the final predicted outcome.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.93-102
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• 2021

This study aims is to determine the factors that influence Indonesian rubber export supply based on the export destination countries. Indonesian rubber export supply is thought to be influenced by the variables like the volume of Indonesia rubber exports, the price of Indonesian natural rubber, the volume of domestic rubber production, the export volume of the previous period, the rupiah exchange rate against US$, the interest rate and real Gross Domestic Product (GDP). The data used is the annual time series from 1995-2015 based on export countries encompassing the United States, China, and Japan. Multiple linear regression with the Ordinary Least Square (OLS) method is applied to analyse the data. The results showed that the volume of Indonesian rubber exports to China is not influenced by domestic natural rubber prices and the Rupiah exchange rate against the Chinese Yuan. The volume of Indonesian rubber exports to Japan is influenced by the volume of domestic rubber production. The volume of Indonesian rubber exports to the three destination countries is influenced by the volume of domestic rubber production, interest rate, and real GDP.

• 문화기술의 융합
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• 제8권2호
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• pp.149-155
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• 2022

본 연구는 간호·간병통합서비스 병동 간호사의 직무만족의 영향요인을 파악하기 위해 시도한 서술적 조사연구이다. 연구대상자는 간호·간병통합서비스 병동 근무 간호사 114명이였으며, 수집된 자료는 기술통계, t-test, ANOVA, Pearson's correlation coefficients, multiple linear regression analysis을 이용하여 분석하였다. 연구결과 직무만족의 주요 영향요인은 전문직 자아개념 및 팀워크로 나타났으며, 직무만족에 대한 두 변수의 설명력은 66.0%로 나타났다. 따라서 간호·간병통합서비스 병동 간호사의 직무만족을 높이기 위해서는 전문직 자아개념과 간호 조직의 팀워크를 향상시킬 수 있는 교육과 정책적 지원이 필요할 것으로 생각된다.

• 한국조경학회지
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• 제30권3호
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• pp.73-85
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• 2002

The purpose of this study was to develop prediction models for plant species abundance by stream restoration. Generally the stream plant is affected by stream gemophology. So in this study, the relationship between the vegetation abundance and stream gemophology was developed by multiple regression analysis. The stream characteristics utilized in this study were longitudinal slope, transectional slope, micro-landforms through the longitudinal direction, riparian width and geometric mean diameter and biggest diameter of bed material, and cumulated coarse and fine sand weight portion. The Pyungchang River with mountainous watershed and the Kyungan stream and the Bokha stream in the agricultural region were selected and vegetation species abundance and stream characteristics were documented from the site at 2~3km intervals from the upper stream to the lower. The Models for predicting the vegetation abundance were developed by multiple regression analysis using SPSS statistics package. The linear relationship between the dependant(species abundance) and independant(stream characteristics) variables was tested by a graphical method. Longitudinal and transectional slope had a nonlinear relationship with species abundance. In the next step, the independance between the independant variables was tested and the correlation between independant and dependant variables was tested by the Pearson bivariate correlation test. The selected independant variables were transectional slope, riparian width, and cumulated fine sand weight portion. From the multiple regression analysis, the $R^2$for the Pyungchang river, Kyungan stream, Bokga stream were 0.651, 0.512 and 0.240 respectively. The natural stream configuration in the Pyungchang river had the best result and the lower $R^2$for Kyunan and Bokha stream were due to human impact which disturbed the natural ecosystem. The lowest $R^2$for the Bokha stream was due to the shifting sandy bed. If the stream bed is fugitive, the prediction model may not be valid. Using the multiple regression models, the vegetation abundance could be predicted with stream characteristics such as, transection slope, riaparian width, cumulated fine sand weigth portion, after stream restoration.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 추계 학술발표회 제20권2호
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• pp.221-224
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• 2008

할선강성을 이용하여 모멘트저항골조의 모멘트재분배를 수행하는 선형해석법을 연구하였다. 제안된 방법에서는 모멘트재분배가 요구되는 부재의 소성힌지에 회전스프링을 모델링한 후, 이 스프링의 할선 강성을 조정하여 비탄성변형으로 인해 저감된 부재의 휨강성을 반영한다. 회전스프링의 할선강성을 조정하여 선형해석한 결과, 해당 부재와 전체 구조물에서 힘의 평형이 만족될 때까지 계산을 반복한다. 할선강성해석을 통해, 소성힌지의 비탄성변형에 의한 하중의 재분배가 고려될 수 있으며, 해당 소성힌지에서의 요구회전변형이 변형능력을 초과하지 않는지 비교함으로써 안전성을 평가할 수 있다. 검증을 위해, 제안된 방법은 기존의 연속보에 대한 실험연구와 비교되었으며, 기존건물의 평가에 적용되었다.