• 제목/요약/키워드: Multi linear regression analysis

검색결과 121건 처리시간 0.034초

Local joint flexibility equations for Y-T and K-type tubular joints

  • Asgarian, Behrouz;Mokarram, Vahid;Alanjari, Pejman
    • Ocean Systems Engineering
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    • 제4권2호
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    • pp.151-167
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    • 2014
  • It is common that analyses of offshore platforms being carried out with the assumption of rigid tubular joints. However, many researches have concluded that it is necessary that local joint flexibility (LJF) of tubular joints should be taken into account. Meanwhile, advanced analysis of old offshore platforms considering local joint flexibility leads to more accurate results. This paper presents an extensive finite-element (FE) based study on the flexibility of uni-planner multi-brace tubular Y-T and K-joints commonly found in offshore platforms. A wide range of geometric parameters of Y-T and K-joints in offshore practice is covered to generate reliable parametric equations for flexibility matrices. The formulas are obtained by non-linear regression analyses on the database. The proposed equations are verified against existing analytical and experimental formulations. The equations can be used reliably in global analyses of offshore structures to account for the LJF effects on overall behavior of the structure.

관능검사에 대한 Fuzzy추론 적용의 유효성 평가 (An Evaluation of Effectiveness for the Application of Fuzzy Reasoning to Sensory Test)

  • 김정만;이상도
    • 품질경영학회지
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    • 제24권3호
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    • pp.133-144
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    • 1996
  • In order to evaluate the effectiveness of fuzzy reasoning to sensory tests, in this paper, a non-linear fuzzy system model that can estimate the general evaluator obtained from a numerical example of test of taste is constructed. And the applicability of fuzzy reasoning to sensory test is discussed on the basis of errors occurred from the estimates in combination of attributes of objects and from the results of multi-regression analysis. This paper proved that fuzzy reasoning using fuzzy If-then rules is applicable to sensory test.

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Research on the Impact of Agricultural Mechanization Service on Wheat Planting Cost: A Case Study of Henan Province

  • Cheng, Zhang
    • Journal of Information Processing Systems
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    • 제17권6호
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    • pp.1127-1137
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    • 2021
  • Given the different effects of agricultural mechanization on various stages of wheat planting in Henan, this article selects 78 observation samples from Henan, a major wheat-growing province. It uses different research methods (multiple linear regression, social network analysis model, multi-layer sensory nerves network) to conduct a comparative study, and the calculation results of the model show that the experimental results have a strong convergence and consistency. Agricultural mechanization services have significant effects on the three stages of wheat planting: harvesting, plowing and sowing. A higher degree of mechanized service in several stages can reduce the cost of growing wheat on family farms.

민간 공동주택 하도급 낙찰률 예측모델 개발 (Development of Prediction Model of Subcontract's Bidding-Ratio for Private Apartment Projects)

  • 장기석;구교진
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 가을 학술논문 발표대회
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    • pp.250-251
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    • 2021
  • A subcontract work order is the basis of the construction process and consists of the root and trunk of the construction industry. The construction process through a subcontract work order is an important element of project success, and it is the basic unit of creating profit in the construction industry. Therefore, correct analysis and forecasting of subcontract work orders allow correct estimation of construction cost and profit which is the foundation of corporate decision making. This study has started to provide predictions of subcontractor's bidding-ratio for decision-making. Since the actual project data has been used in this study, the contribution level of the model is highly expected in actual field. The statistical confidential level of adjusted decision coefficient is concluded low because of limited sample numbers. However, its accuracy and confidence level can be increased through increasing sample numbers, considering more variables, and studying of reducing error.

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농촌관광 사업자의 경영성과에 영향을 미치는 요인 (Factors Affecting Business Performance of Rural Tourism Operators)

  • 김경희;황대용
    • 농촌지도와개발
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    • 제27권2호
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    • pp.65-74
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    • 2020
  • The study aims to identify the factors affecting business performance of rural tourism operators. For this study, 1,004 questionnaires were collected by field survey of rural tourism operators. The linear multiple regression analysis were used to identify factors affecting performance of rural tourism business. The result indicate that the factors influencing the sales of rural tourism business were in order of owning sales facilities, perception of multi-functional value of agriculture and rural, group promotion, number of rooms, and gender. In the case of gender, it was found that females had a high probability of positively affecting sales. The factors influencing the satisfaction of the rural tourism business were in the order of management strategy, number of days of operation, perception of multi-functional value of agriculture and rural, and business career. In the case of management strategy, it was found that the differentiation strategy have a positively affecting the satisfaction of the rural tourism business. As for the business career, the shorter the career, the higher the probability of positively affecting the satisfaction of the rural tourism business. The results of this study would be useful for establishing strategies to improve the management performance of the rural tourism business.

Assessment of Soil Compaction Related to the Bulk Density with Land use Types on Arable Land

  • Cho, Hee-Rae;Jung, Kang-Ho;Zhang, Yong-Seon;Han, Kyung-Hwa;Roh, Ahn-Sung;Cho, Kwang-Rae;Lim, Soo-Jeong;Choi, Seung-Chul;Lee, Jin-Il;Yun, Yeo-Uk;Ahn, Byoung-Gu;Kim, Byeong-Ho;Park, Jun-Hong;Kim, Chan-Yong;Park, Sang-Jo
    • 한국토양비료학회지
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    • 제46권5호
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    • pp.333-342
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    • 2013
  • Soil compaction is affected by soil texture, organic matter (OM), strength (ST) and soil moisture, which is difficult to understand the degree and effects of related factors. The purpose of the study is to assess the impact of them on the compaction with bulk density (BD). The analysis was conducted with data collected from national-wide monitoring sites including 105 upland soils, 246 orchard soils, and 408 paddy soils between 2009 and 2012. The distributions of soil physical properties were measured. The correlation and multi linear regression analysis were performed between soil physical properties using SAS. The regression equation of BD(y) includes ST, gravitational water contents (GWC), and OM as variables commonly, having additional factors, clay content and sand content in paddy soil and upland soil for only subsoil (p<0.001). Our results show that the BD could be explained about 40~50% by various physical properties. The regression was mainly determined by ST in orchard and upland soil and by the GWC in paddy soil. To mitigate soil compaction, it is important to maintain the proper level of OM in upland soil and to consider the moisture condition with soil texture in paddy soil when making work plan. Furthermore, it would be recommended the management criteria classified by soil texture for the paddy soils.

Effects of Physical Characteristics on a Nutrient-Chlorophyll Relationship in Korean Reservoirs

  • Hwang, Soon-Jin;Jeon, Ji-Hong;Ham, Jong-Hwa;Kim, Ho-Sub
    • 한국농공학회지
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    • 제44권7호
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    • pp.64-73
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    • 2002
  • This study was performed to evaluate effects of physical characteristics of both watershed and reservoir on nutrient-chlorophyll relationship in Korean reservoirs. Simple linear models were developed with published data in Korea including 415 reservoirs and 11 multi-purpose dams, and physico-chemical parameters of reservoirs and characteristics relationship of models were analyzed. Theoretical residence time in Korean reservoirs was strongly correlated with the ratio of TA/ST (drainage area + surface area / storage volume) in the logarithmic function. As a result of monthly nutrients-chlorophyll-a regression analysis, significant Chl-a-TP relationship appeared during May~July. The high Chl-a yields per total phosphorus appeared during this time (R$\^$2/=0.51, p<0.001, N= 1088). Chlorophyll-a demonstrated much stronger relationship with TP. than TN. Seasonal algal-nutrient coupling were closely related with N:P ratio in the reservoir water, and it was, in turn, dependent on the monsoon climatic condition (precipitation). Based on the results of regression analysis and high N:P ratio, a major limiting factor of algal growth appeared to be phosphorus during this time. Unlikely TA/ST ratio, DA/SA ratio (drainage area f surface area) was likely to influence directly on the nutrient-Chl-a relationship, indicating that if storage volume and inflowing water volume were the same, algal biomass could be developed more in reservoirs with large surface area. Thus, DA/SA ratio seemed to be an important factor to affect the development of algal biomass in Korean reservoirs. With low determination coefficient of TP-Chl-a relationship, our findings indicated not only nutrient (phosphorus) but also other physical factors, such as DA/SA ratio, may affect algal biomass development in Korean reservoirs, where actual residence time appears to be more closely related to reservoir surface area rather than storage volume.

퍼지 및 신경망 이론을 이용한 교통사고예측모형 개발에 관한 연구 (Development of Traffic Accidents Prediction Model With Fuzzy and Neural Network Theory)

  • 김장욱;남궁문;김정현;이수범
    • 대한교통학회지
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    • 제24권7호
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    • pp.81-90
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    • 2006
  • 교통사고를 줄이기 위한 방안으로써 교통사고와 다양한 요인과의 관계를 규명하는 것이 시급한 현실의 과제일 것이다. 본 연구에서는 전북권의 교통사고가 가장 많고, 치사율이 가장 높은 국도 17호선(전주-남원)를 대상으로 교통사고의 원인이 되는 다양한 요인들이 교통사고에 어느 정도 영향을 미치고 있는지에 대하여 교통안전분야에서 자주 사용되어오던 다중회귀이론, 수량화이론을 적용하여 교통사고예측모델을 구축하였다. 또한 데이터의 불확실성 상태를 합리적으로 처리할 수 있는 퍼지 추론이론 및 인간의 신경계를 수학적으로 모형화하여 학습에 의한 예측에 있어 뛰어난 것으로 알려져 있는 신경망이론을 적용한 교통사고예측모델을 구축하였다 이를 통해, 퍼지추론이론 및 신경망 이론의 유효성을 입증하고 교통사고분석 분야의 적용 타당성을 확인하는데 초점을 맞추고 있다.

Religious Coping and Quality of Life in Women with Breast Cancer

  • Zamanian, Hadi;Eftekhar-Ardebili, Hasan;Eftekhar-Ardebili, Mehrdad;Shojaeizadeh, Davood;Nedjat, Saharnaz;Taheri-Kharameh, Zahra;Daryaafzoon, Mona
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권17호
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    • pp.7721-7725
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    • 2015
  • Background: The aim of this study was to assess the predictive role of religious coping in quality of life of breast cancer patients. Materials and Methods: This multi-center cross-sectional study was conducted in Tehran, Iran, from October 2014 to May 2015. A total of 224 women with breast cancer completed measures of socio-demographic information, religious coping (brief RCOPE), and quality of life (FACT-B). Data were analyzed using descriptive statistics and the t-test, ANOVA, and linear regression analysis. Results: The mean age was 47.1 (SD=9.07) years and the majority were married (81.3%). The mean score for positive religious coping was 22.98 (SD=4.09) while it was 10.13 (SD=3.90) for negative religious coping. Multiple linear regression showed positive and negative religious coping as predictor variables explained a significant amount of variance in overall QOL score ($R^2=.22$, P=.001) after controlling for socio-demographic, and clinical variables. Positive religious coping was associated with improved QOL (${\beta}=0.29$; p=0.001). In contrast, negative religious coping was significantly associated with worse QOL (${\beta}=-0.26$; p=0.005). Conclusions: The results indicated the used types of religious coping strategies are related to better or poorer QOL and highlight the importance of religious support in breast cancer care.

전기 기관차 중수선 시설의 설계 변수 최적화 (Optimization for the Design Parameters of Electric Locomotive Overhaul Maintenance Facility)

  • 엄인섭;천현재;이홍철
    • 한국철도학회논문집
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    • 제13권2호
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    • pp.222-228
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    • 2010
  • 전기 기관차 중수선 시설과 같이 복잡한 시스템의 설계 변수와 중요 변수 최적화는 수리적인 형태로 분석하는 것이 매우 어려운 작업이 된다. 본 논문에서는 메타 모델의 개념을 시뮬레이션 근사 모델에 적용하여 설계 변수와 중요 변수의 최적화를 수행하였다. 시뮬레이션 설계를 위하여 Critical Path 분석과 민감도 분석 수행하여 설계 변수와 실험 횟수를 줄이기 위하여 노력을 하였다. 시뮬레이션 분석은 다 목적 비선형 계획법을 구성한 후 파레토 최적해 집합을 산출하여 설계자에게 다중 대안의 해 집합을 제시하여 실제 시스템의 적용에 대한 유동성을 제공하려고 노력하였다. 본 논문에서 제시 된 기법은 열차 중수선 시설의 설계 및 분석에 있어서 시뮬레이션과 메타 모델을 이용한 하나의 방법으로 이용이 가능 할 것이다.