An Optimal Chemigation(Acetochlor) Duration Model Based on the Crop and Environment Effects

2022 ◽  
Author(s):  
Hui Wang ◽  
Wenpeng Shi ◽  
Wene Wang ◽  
Xiaotao Hu ◽  
Gang Ling ◽  
...  
Keyword(s):  
Duration Model ◽  
Model Based ◽  
Environment Effects

scholarly journals DEVELOPING A CONSTRUCTION-DURATION MODEL BASED ON A HISTORICAL DATASET FOR BUILDING PROJECT / STATYBŲ PROJEKTO REALIZAVIMO TRUKMĖS MODELIO, PAGRĮSTO ISTORINIAIS DUOMENIMIS, KŪRIMAS

2011 ◽  
Vol 17 (4) ◽  
pp. 529-539 ◽  
Author(s):  
Ming-Chiao Lin ◽  
Hui Ping Tserng ◽  
Shih-Ping Ho ◽  
Der-Liang Young
Keyword(s):  
Regression Model ◽  
Construction Projects ◽  
Predictive Accuracy ◽  
Predictive Ability ◽  
Duration Model ◽  
Prediction Errors ◽  
Building Projects ◽  
Model Based ◽  
Contract Duration ◽  
Building Project

The delay of vast building projects is still a common problem. This situation is extraordinarily severe to steel reinforced concrete (SRC) building projects that keep going to promote a new structure system in Taiwan's construction industry. The aim of this study is to develop a feasible contract duration model based upon few SRC building cases. A logical approach is employed to select and assure the “good” regression model identified when project characteristics were known and external uncertainties were reasonably estimated. Different necessary diagnostics had been adopted to examine the aptness of the model before inference. The cross-validation is used to validate the appropriateness of the variables selected and magnitudes of the regression coefficients. The mean of the square prediction errors (MSPR) is selected to measure the predictive ability of the model proposed, and the result shows that the predictive ability of the selected regression model could be adequate. Finally, several cases are taken to test the predictive accuracy of the model proposed, and the result shows that the actually necessary construction duration is considerably closed to the duration predicted by the mode. It is concluded that the predictive duration model proposed could be applicable to the SRC construction projects with a reasonable reliability. Santrauka Vėlavimas realizuojant stambius statybų projektus tebėra dažna problema. Ši situacija ypač rimta dirbant su gelžbetoninių statybų projektais, kuriais populiarinama naujų konstrukcijų sistema Taivanio statybų sektoriuje. Šiuo tyrimu siekiama sukurti tinkamą sutarties trukmės modelį, pagrįstą keliais gelžbetoninės statybos atvejais. Atrenkant ir užtikrinant, kad būtų sudarytas ,,geras“ regresijos modelis, kai projekto savybės žinomos, o išoriniai neapibrėžtumai pakankamai įvertinti, taikytas loginis metodas. Prieš darant išvadas modelio tinkamumas buvo išnagrinėtas naudojant skirtingas būtinos diagnostikos priemones. Naudojant kryžminį patikrinimą pagrindžiamas pasirinktų kintamujų tinkamumas ir regresijos koeficientų vertės. Siekiant įvertinti siūlomo modelio tinkamumą prognozuoti, apskaičiuotos vidutinės kvadratinės prognozavimo paklaidos (angl. Mean of the Square Prediction Errors, MSPR). Rezultatas rodo, kad pasirinktasis regresijos modelis prognozuoja gana gerai. Pagaliau pasirinkus kelis atvejus išbandomas siūlomo modelio prognozių tikslumas. Rezultatas rodo, kad faktinė bū tina statybų trukmė gana artima modelio prognozuojamai trukmei. Daroma išvada, kad siūlomą trukmės prognozių modelį galima taikyti gelžbetoninės statybos projektuose, o jo rezultatai bus gana patikimi.

scholarly journals Estimation of Duration Model Based on Aggregated Distributions of Arrivals and Departures

2004 ◽  
Vol 21 ◽  
pp. 443-448
Author(s):  
Makoto TSUKAI ◽  
Hidehiko INOUE ◽  
Makoto OKUMURA
Keyword(s):  
Duration Model ◽  
Model Based

A Model Based on Single-Ion Theory II. Preferential Substitution and Local-Environment Effects at Different Rare-Earth Sites in Some (R, R′)2Fe14B Compounds

1990 ◽  
Vol 121 (2) ◽  
pp. 617-626 ◽  
Author(s):  
Zhi-Dong Zhang ◽  
X. K. Sun ◽  
Y. C. Chuang ◽  
F. R. de Boer ◽  
R. J. Radwański
Keyword(s):  
Rare Earth ◽  
Local Environment ◽  
Model Based ◽  
Environment Effects

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  
Keyword(s):  
Image Analysis ◽  
Mammary Epithelial Cells ◽  
Nuclear Organization ◽  
Critical Role ◽  
Quantitative Model ◽  
Mammary Epithelial ◽  
Cell Phenotype ◽  
Proliferating Cells ◽  
Mitotic Apparatus ◽  
Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

Model-Based Clustering and Classification for Data Science

2019 ◽  
Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery
Keyword(s):  
Data Science ◽  
Model Based Clustering ◽  
Model Based ◽  
Clustering And Classification
Sign in / Sign up

Export Citation Format

Share Document