• 제목/요약/키워드: multi linear regression

검색결과 218건 처리시간 0.023초

강제 환기식 육계사 다중 입기 슬롯에서의 입기류 도달거리 분석 (Analysis of Jet-drop Distance from the Multi Opening Slots of Forced-ventilation Broiler House)

  • 권경석;하태환;이인복;홍세운;서일환
    • 한국농공학회논문집
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    • 제54권2호
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    • pp.55-65
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    • 2012
  • In the winter season, when the ventilation system is operating, the fresh cold air from the slot-type openings of broiler house which directly reached the animal zone can cause various problems such as thermal stress, decreasing of feed and water consumption, occurrence of respiratory disease, and etc. Therefore it is very important to control the trajectory of aero-flow from the slot openings to induce an efficient thermal heat change. Jet-drop distance model was proposed to predict and control the jet-trajectory. However their study was restricted due to the small scaled model and difficulties of measuring the Jet-drop distance. In this study, CFD was applied to analyze qualitatively and quantitatively the jet-drop distance in a real broiler house. The various variables were considered such as installed slot-angle, designed ventilation rate, and the outdoor ambient temperature. From the present study, two linear-regression models using the Jet-drop factor and corrected Archimedes number, and their R-squared values 0.744 and 0.736, respectively, were used. From this study, the applicability of CFD on the analysis of Jet-drop distance model was confirmed.

DYNAFLECT에 의한 아스팔트 콘크리트 포장도로의 분산도 특성에 관한 연구 (A Study on the Spreadability Characteristics of Asphalt Concrete Pavement using Dynaflect)

  • 김수일;최정훈;유지형
    • 한국지반공학회지:지반
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    • 제3권1호
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    • pp.53-64
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    • 1987
  • 도로포장의 구조평가 및 유지관리를 위하여 매우 효율적인 장비로 알려진 Dynaflect의 이용이 날 로 증가하고 있어, 이에 대한 연구가 절실하다. 따라서 본 연구에서는 도로포장에 사용되는 재료의 탄성계수에 따른 해석모질을 설정하고, 이를 다층토 이론에 근거한 콤퓨터 프로그램을 통하여 Dyn select의 처짐곡선을 산출함으로써 표층 두께와 탄성계수에 따른 분산도의 특성을 연구하였다.

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MEMS 기술로 제작된 가스 센서 어레이를 이용한 유해가스 분류를 위한 간단한 통계적 패턴인식방법의 구현 (Implementation of simple statistical pattern recognition methods for harmful gases classification using gas sensor array fabricated by MEMS technology)

  • 변형기;신정숙;이호준;이원배
    • 센서학회지
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    • 제17권6호
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    • pp.406-413
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    • 2008
  • We have been implemented simple statistical pattern recognition methods for harmful gases classification using gas sensors array fabricated by MEMS (Micro Electro Mechanical System) technology. The performance of pattern recognition method as a gas classifier is highly dependent on the choice of pre-processing techniques for sensor and sensors array signals and optimal classification algorithms among the various classification techniques. We carried out pre-processing for each sensor's signal as well as sensors array signals to extract features for each gas. We adapted simple statistical pattern recognition algorithms, which were PCA (Principal Component Analysis) for visualization of patterns clustering and MLR (Multi-Linear Regression) for real-time system implementation, to classify harmful gases. Experimental results of adapted pattern recognition methods with pre-processing techniques have been shown good clustering performance and expected easy implementation for real-time sensing system.

무인비행체 영상을 활용한 고랭지배추 정식시기 추정 (Estimating of Transplanting Period of Highland Kimchi Cabbage Using UAV Imagery)

  • 이경도;박찬원;소규호;김기덕;나상일
    • 한국농공학회논문집
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    • 제59권6호
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    • pp.39-50
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    • 2017
  • Growth monitoring of highland Kimchi cabbage is very important to respond the fluctuations in supply and demand from middle of August to early September in Korea. For evaluating Kimchi cabbage growth, it needs to classify the transplanting period of Kimchi cabbage, preferentially. This study was conducted to estimate the transplanting period of highland Kimchi cabbage from 2015 to 2016 in the main production area of highland Kimchi cabbage, Anbandegi, Maebongsan, and Gwinemi. Correlation between NDVI (Normalized Difference Vegetation Index) from UAV images and days after transplanting of Kimchi cabbage was high in early transplanting period. But because the growth curve of Kimchi cabbage showed S-type, joint use of multi-temporal linear regression equation for estimation of transplanting period was more suitable. Using application of these equations at Anbandegi, Maebongsan, and Gwinemi, we made the map of transplanting periods of highland Kimchi cabbage. Generally, highland Kimchi cabbage is harvested in sixty days later since transplanting. As a result, we could estimate the harvest time and area of highland Kimchi cabbage.

Shear behaviour of RC beams retrofitted using UHPFRC panels epoxied to the sides

  • Al-Osta, Mohammed A.
    • Computers and Concrete
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    • 제24권1호
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    • pp.37-49
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    • 2019
  • In this study, the shear behaviour of reinforced concrete (RC) beams that were retrofitted using precast panels of ultra-high performance fiber reinforced concrete (UHPFRC) is presented. The precast UHPFRC panels were glued to the side surfaces of RC beams using epoxy adhesive in two different configurations: (i) retrofitting two sides, and (ii) retrofitting three sides. Experimental tests on the adhesive bond were conducted to estimate the bond capacity between the UHPFRC and normal concrete. All the specimens were tested in shear under varying levels of shear span-to-depth ratio (a/d=1.0; 1.5). For both types of configuration, the retrofitted specimens exhibited a significant improvement in terms of stiffness, load carrying capacity and failure mode. In addition, the UHPFRC retrofitting panels glued in three-sides shifted the failure from brittle shear to a more ductile flexural failure with enhancing the shear capacity up to 70%. This was more noticeable in beams that were tested with a/d=1.5. An approach for the approximation of the failure capacity of the retrofitted RC beams was evolved using a multi-level regression of the data obtained from the experimental work. The predicted values of strength have been validated by comparing them with the available test data. In addition, a 3-D finite element model (FEM) was developed to estimate the failure load and overall behaviour of the retrofitted beams. The FEM of the retrofitted beams was conducted using the non-linear finite element software ABAQUS.

1인 가구 남성과 여성의 행복감 관련 요인: 2017년 지역사회건강조사 자료 활용 (Factors related to Happiness of Male and Female Individuals in One-Person Households: Using the 2017 Community Health Survey)

  • 김경숙
    • 한국학교ㆍ지역보건교육학회지
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    • 제20권2호
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    • pp.109-124
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    • 2019
  • Purpose: The purpose of this study was to compare the happiness level of one-person households according to gender in Korea and identify factors influencing householders' happiness. Methods: This was a descriptive correlational study design using the 2017 Community Health Survey data. The participants were 8,724 male and 16,810 female individuals in one-person households. Complex samples descriptive statistics, cross analysis, general linear model, and multi-order regression were conducted to identify the health status, health behavior, and factors influencing happiness. Results: The mean score of happiness was higher in female than male individuals. The main factors of happiness of male householders were suicide thought experience, subjective health level, and experience of having necessary medical services. The main factors of happiness of female householders were suicide thought experience, household income, depression experience. Conclusion: It is necessary to develop and implement nursing interventions and policies according to priorities for the happiness of one-person householders.

Customer Experience and Repurchase Intention in Multi-Channel: Customer Satisfaction as Mediating Variable

  • MUSTIKASARI, Anita;KRISNAWATI, Maria;SUTRISNO, Endro
    • 산경연구논집
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    • 제12권3호
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    • pp.7-19
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    • 2021
  • Purpose: This study aims to examine customer experience toward repurchase intention in offline and online stores and discuss customer satisfaction as a mediator variable. Research design, data, and methodology: This study investigates customer experience that consists of product, customer service, staff service, shopping environment and shopping procedure toward customer satisfaction using Regression Linear. This study also measures customer satisfaction as a mediated variable in the relationship between customer experience and repurchase intention using Sobel Test. Results: Almost all of the customer experience hypothesis is significant toward customer satisfaction, shopping process experience in the context of the online channel to customer satisfaction is not significant. We also found that customer satisfaction can be mediated variable in customer experience toward repurchase intention. Conclusions: Retails who want to make customers feel satisfied to have to make sure that have good resources in improving the product, the customer service is easy to contact to find the solution over customer problem in purchasing product, also develop the staff member skill in functional product knowledge, presentations, and communicating with customers online or offline, the retailer has to create enjoyment and pleasurable customer emotion through the shopping environment and also give seamless shopping experience to their customer in two-channel.

기계학습을 이용한 염화물 확산계수 예측모델 개발 (Development of Prediction Model of Chloride Diffusion Coefficient using Machine Learning)

  • 김현수
    • 한국공간구조학회논문집
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    • 제23권3호
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    • pp.87-94
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    • 2023
  • Chloride is one of the most common threats to reinforced concrete (RC) durability. Alkaline environment of concrete makes a passive layer on the surface of reinforcement bars that prevents the bar from corrosion. However, when the chloride concentration amount at the reinforcement bar reaches a certain level, deterioration of the passive protection layer occurs, causing corrosion and ultimately reducing the structure's safety and durability. Therefore, understanding the chloride diffusion and its prediction are important to evaluate the safety and durability of RC structure. In this study, the chloride diffusion coefficient is predicted by machine learning techniques. Various machine learning techniques such as multiple linear regression, decision tree, random forest, support vector machine, artificial neural networks, extreme gradient boosting annd k-nearest neighbor were used and accuracy of there models were compared. In order to evaluate the accuracy, root mean square error (RMSE), mean square error (MSE), mean absolute error (MAE) and coefficient of determination (R2) were used as prediction performance indices. The k-fold cross-validation procedure was used to estimate the performance of machine learning models when making predictions on data not used during training. Grid search was applied to hyperparameter optimization. It has been shown from numerical simulation that ensemble learning methods such as random forest and extreme gradient boosting successfully predicted the chloride diffusion coefficient and artificial neural networks also provided accurate result.

도시 규모 별 청소년의 건강생활 실천 차이와 관련 요인 (Analysis of the Differences in Healthy Behaviors of Adolescents by Regional Size and Related Factors)

  • 진영란;양선이
    • 한국농촌간호학회지
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    • 제18권1호
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    • pp.11-18
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    • 2023
  • Purpose: This study is to compare adolescents' health behaviors by city size and to propose regionally tailored health promotion. Methods: We analyzed the data from the 17th Youth Health Risk Behavior Online Survey, national widly performed in 2021. Multi-sample descriptive and linear regression analysis was performed by city size. Results: The frequency of fruit consumption in the last week was 2.88 in the rural area, which is lower than 2.98 and 3.05 in other cities (F=10.98, p<.001). The number of high-intensity physical activity days in the last week (7 days) was 2.90 days in the rural area, higher than 2.74 and 2.73 days in other cities (F=3.36, p=.038). The number of days smoking cigarettes in the last 30 days was 3.23 days in the rural area, higher than 3.08 and 3.02 days in other cities (F=3.41, p=.035). BMI was 22.01 in the rural area, which was higher than 21.57 and 21.61 in other cities (F=4.19, p=.015). Conclusion: School health offices in the rural area districts need to operate to manage lack of fruit intake, smoking, and weight management programs in association with local healthcare institutions.

MODIS 다중 위성영상 기반의 토양수분 및 가뭄지수 산정연구 (Estimation of Spatio-temporal soil moisture and drought index based on MODIS multi-satellite images)

  • 정지훈;김주연;김형석;정다은;김성준
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2022년도 학술발표회
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    • pp.446-446
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    • 2022
  • 본 연구에서는 MODIS(MODerate resolution Imaging Spectroradiometer) 다중 위성영상을 기반으로 전국 시공간 토양수분 및 토양수분 기반의 가뭄지수 SWDI(Soil Water Deficit Index)를 산정하였다. 시공간 토양수분의 산정을 위해 입력자료로 MODIS 위성의 지표면온도(Land Surface Temperature, LST), 증발산 및 식생(Enhanced Vegetation Index, EVI; Fraction of Photosynthetically Active Radiation, FPAR; Leaf Area Index, LAI; Normalized Difference Vegetation Index, NDVI) 관련 산출물 자료와 지상 관측자료인 일 단위 강수량 자료를 구축하였다. MODIS 위성영상은 산출물별로 제공되는 QC(Quality Control) 영상을 활용해 보정을 수행하였고, 공간 강수량 자료는 기상청에서 제공하는 전국 92개 지점의 종관기상관측자료를 구축하여 공간보간기법인 역거리가중법을 적용해 생성하였다. 실측 토양수분은 농촌진흥청에서 제공하는 76개 지점의 토양 깊이 10 cm에 설치된 TDR(Time Domain Reflectomerty) 센서에서 측정된 토양수분 자료를 활용하였으며, 토양수분 모의 시 토양 속성을 고려하기 위해 국립농업과학원에서 제공하는 토양도를 구축하여 활용하였다. 토양수분 산정 모형은 다중선형회귀모형(Multiple Linear Regression Model, MLRM)을 활용하였으며, 계절 및 토성에 따른 회귀식을 산정하였다. 회귀식 기반의 토양수분과 토성별 포장용수량 및 영구위조점 값을 이용하여 SWDI를 산정하고, 실제 가뭄 발생 시기 및 지역과의 비교하고자 한다.

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