Analyzing the Distribution of Moisture Content in Kiln-dried Lumber Using Goodness of Fit Techniques – with Procedures

2005 ◽  
Vol 17 (1) ◽  
pp. 11-23
Author(s):  
C Ristea ◽  
TC Maness
Keyword(s):  
Moisture Content ◽  
Goodness Of Fit

scholarly journals HANDY: a device for assessing resistance to mechanical crushing of maize kernel

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yuan Su ◽  
Yang Xu ◽  
Tao Cui ◽  
Xiaojun Gao ◽  
Guoyi Xia ◽  
...  
Keyword(s):  
Moisture Content ◽  
Goodness Of Fit ◽  
Function Analysis ◽  
Physical Damage ◽  
Maize Kernel ◽  
Rotating Speed ◽  
Maize Cultivars ◽  
Maize Varieties ◽  
New Perspective ◽  
Mechanical Crushing

Abstract Background How to control the physical damage during maize kernel harvesting is a major problem for both mechanical designers and plant breeders. A limitation of addressing this problem is lacking a reliable method for assessing the relation between kernel damage susceptibility and threshing quality. The design, construction, and testing of a portable tool called “HANDY”, which can assess the resistance to mechanical crushing in maize kernel. HANDY can impact the kernel with a special accelerator at a given rotating speed and then cause measurable damage to the kernel. These factors are varied to determine the ideal parameters for operating the HANDY. Results Breakage index (BI, target index of HANDY), decreased as the moisture content of kernel increased or the rotating speed decreased within the tested range. Furthermore, the HANDY exhibited a greater sensitivity in testing kernels at higher moisture level influence on the susceptibility of damage kernel than that in Breakage Susceptibility tests, particularly when the centrifugation speed is about 1800 r/min and the centrifugal disc type is curved. Considering that the mechanical properties of kernels vary greatly as the moisture content changes, a subsection linear (average goodness of fit is 0.9) to predict the threshing quality is built by piecewise function analysis, which is divided by kernel moisture. Specifically, threshing quality is regarded as a function of the measured result of the HANDY. Five maize cultivars are identified with higher damage resistance among 21 tested candidate varieties. Conclusions The HANDY provides a quantitative assessment of the mechanical crushing resistance of maize kernel. The BI is demonstrated to be a more robust index than breakage susceptibility (BS) when evaluating threshing quality in harvesting in terms of both reliability and accuracy. This study also offers a new perspective for evaluating the mechanical crushing resistance of grains and provides technical support for breeding and screening maize varieties that are suitable for mechanical harvesting.

Moisture Sorption Characteristics of Dakuwa (Nigerian Cereal/Groundnut Snack)

2013 ◽  
Vol 9 (4) ◽  
pp. 499-504 ◽  
Author(s):  
Ocheme Boniface Ocheme ◽  
Chukwuma Charles Ariahu ◽  
Emmanuel Kongo Ingbian
Keyword(s):  
Moisture Content ◽  
Equilibrium Moisture Content ◽  
Goodness Of Fit ◽  
Sorption Isotherms ◽  
Moisture Sorption ◽  
Sorption Data ◽  
Moisture Contents ◽  
Monolayer Moisture ◽  
Increasing Temperature ◽  
Sorption Characteristics

AbstractThe moisture sorption characteristics of dakuwa at 10, 20, 30 and 400°C were studied. The experimental sorption data obtained were applied to BET, GAB, Oswin and Henderson equations to test fitness of the equations to moisture sorption of dakuwa. The sorption isotherms of dakuwa were type III isotherms (J shaped), and the equilibrium moisture content increased with increasing water activity but decreased with increasing temperature. The BET and GAB monolayer moisture contents all decreased with increasing temperature. For adsorption, the BET monolayer was higher (3.163–4.158 g/100 g solid) than that of GAB (2.931–3.728 g/100 g solid), but for desorption, the GAB monolayer (4.792–7.741 g/100 g solid) was higher than that of BET (3.962–4.480 g/100 g solid). Evaluation of goodness of fit of models revealed that moisture sorption of dakuwa was best modelled by GAB equation.

scholarly journals HANDY: A Device for Assessing Resistance to Mechanical Crushing of Maize Kernel

2020 ◽  
Author(s):  
Yuan Su ◽  
Yang Xu ◽  
Tao Cui ◽  
Xiaojun Gao ◽  
Guoyi Xia ◽  
...  
Keyword(s):  
Moisture Content ◽  
Goodness Of Fit ◽  
Function Analysis ◽  
Optimum Number ◽  
Physical Damage ◽  
Maize Kernel ◽  
Rotating Speed ◽  
Maize Varieties ◽  
New Perspective ◽  
Mechanical Crushing

Abstract Background: How to reduce the physical damage during maize kernel harvesting is a major problem for both mechanical designers and plant breeders. A limitation of addressing this problem is the lack of a reliable method for assessing kernel damage susceptibility. Previous methods of testing kernel strength lack in make a comparative discussion from the viewpoint of threshing. The design, construction and testing of a portable tool called “HANDY”, which can assess the resistance to mechanical crushing in maize kernel. A device is designed and developed that can impact the kernel with a special accelerator at a given rotating speed and then cause measurable damage of maize kernel. These factors are varied to determine the ideal parameters for operating the HANDY. Results: Baseline testing of the HANDY is performed to determine the initial range of testing parameters. The result shows that the optimum number of test times is one for one group of maize kernels. Breakage index (BI, target index of HANDY), decreased as the moisture content of kernel increased or the rotating speed decreased within the tested range. Furthermore, the HANDY exhibited a greater sensitivity in testing kernels at higher moisture level influence on susceptibility of damage maize kernel than that in Breakage Susceptibility tests, particularly when the centrifugation speed is about 1800 rpm and the disc is curved type centrifugal disc. Considering that the mechanical properties of kernels vary greatly as the moisture content changes, a subsection linear (average goodness of fit is 0.87) to predict the threshing quality is built by piecewise function analysis, which is divided by kernel moisture. Specifically, threshing quality is regarded as a function of the measured result of the HANDY.Conclusions: The HANDY provides a quantitative assessment of mechanical crushing resistance of maize kernel. The BI is demonstrated to be a more robust index than breakage susceptibility (BS) when evaluating threshing quality in harvesting in terms of both reliability and accuracy. This study also offers a new perspective for evaluating the mechanical crushing resistance of grains, and provides technical support for breeding maize varieties which are suitable for mechanical harvesting.

scholarly journals HANDY: a device for assessing resistance to mechanical crushing of maize kernel

2020 ◽  
Author(s):  
Yuan Su ◽  
Yang Xu ◽  
Tao Cui ◽  
Xiaojun Gao ◽  
Guoyi Xia ◽  
...  
Keyword(s):  
Moisture Content ◽  
Goodness Of Fit ◽  
Function Analysis ◽  
Optimum Number ◽  
Physical Damage ◽  
Maize Kernel ◽  
Rotating Speed ◽  
Maize Cultivars ◽  
Maize Varieties ◽  
Mechanical Crushing

Abstract Background: How to control the physical damage during maize kernel harvesting is a major problem for both mechanical designers and plant breeders. A limitation of addressing this problem is lacking a reliable method and model for assessing the relation between kernel damage susceptibility and threshing quality. The design, construction, and testing of a portable tool called “HANDY”, which can assess the resistance to mechanical crushing in maize kernel. HANDY can impact the kernel with a special accelerator at a given rotating speed and then cause measurable damage to the kernel. These factors are varied to determine the ideal parameters for operating the HANDY. Results: Baseline testing of the HANDY is performed to determine the initial range of testing parameters. The result shows that the optimum number of test times is one. Breakage index (BI, target index of HANDY), decreased as the moisture content of kernel increased or the rotating speed decreased within the tested range. Furthermore, the HANDY exhibited a greater sensitivity in testing kernels at higher moisture level influence on the susceptibility of damage kernel than that in Breakage Susceptibility tests, particularly when the centrifugation speed is about 1800 r/min and the centrifugal disc type is curved. Considering that the mechanical properties of kernels vary greatly as the moisture content changes, a subsection linear (average goodness of fit is 0.9) to predict the threshing quality is built by piecewise function analysis, which is divided by kernel moisture. Specifically, threshing quality is regarded as a function of the measured result of the HANDY. Five maize cultivars are identified with higher damage resistance among 21 tested candidate varieties. Conclusions: The HANDY provides a quantitative assessment of the mechanical crushing resistance of maize kernel. The BI is demonstrated to be a more robust index than breakage susceptibility (BS) when evaluating threshing quality in harvesting in terms of both reliability and accuracy. This study also offers a new perspective for evaluating the mechanical crushing resistance of grains and provides technical support for breeding and screening maize varieties that are suitable for mechanical harvesting.

scholarly journals A method for describing equilibrium moisture content of forest fuels

1984 ◽  
Vol 14 (4) ◽  
pp. 597-600 ◽  
Author(s):  
Ralph M. Nelson Jr.
Keyword(s):  
Moisture Content ◽  
Equilibrium Moisture Content ◽  
Goodness Of Fit ◽  
Model Description ◽  
Data Sets ◽  
Temperature Hysteresis ◽  
Exponential Relationship ◽  
Isothermal Adsorption ◽  
Sorption Data ◽  
Forest Fuels

The isothermal adsorption and desorption of water vapor by forest fuels is represented with a two-parameter model based on an exponential relationship between Gibbs free energy change and equilibrium moisture content. The model is applied to five sets of sorption data in the literature to illustrate goodness of fit. Two of the data sets are well reproduced by the model; description of the remaining data is less satisfactory. Whether the deviations are due to experimental factors or a deficiency in the model is not determined. At constant temperature, hysteresis ratios tend to increase as percent relative humidity increases.

scholarly journals Statistical prediction of the drying behavior of blanched ginger rhizomes

2021 ◽  
Vol 4 (2) ◽  
pp. 98-107
Author(s):  
A. I. Gbasouzor ◽  
J. E. Dara ◽  
C. O. Mgbemena
Keyword(s):  
Linear Regression ◽  
Moisture Content ◽  
Thin Layer ◽  
Goodness Of Fit ◽  
Drying Time ◽  
Thin Layer Drying ◽  
Non Linear ◽  
Drying Behavior ◽  
Drying Models ◽  
Thin Layer Drying Models

ARS-680 environmental chamber was employed in this study to determine the drying behavior of sliced ginger rhizomes. Blanched and unblanched treated ginger rhizomes were considered at drying temperature of 40 °C for a period of 2 – 24 h. Linear and non-linear regression analyses were employed to establish the correlation that exits between the drying time and the moisture ratio. Correlation analysis, root mean square error (RMSE) and standard error of estimate (SEE) analysis were chosen in selecting the best thin layer drying models. Higher values of determination coefficient (R2) show goodness of fit and lower values of SEE implies better correlation; and RMSE values were also utilized in determining the goodness of fit. The drying data of the variously treated ginger samples were fitted into the twelve thin layer drying models and the data obtained were fitted by multiple non-linear regression technique. Blanched treated sample exhibited a better drying behavior losing about 82.87 % moisture content compared with unbleached sample that lost about 62.03 % of moisture content. Two-term exponential drying model proved to be the most suitable model for predicting the drying behavior of ginger rhizome. The model exhibited high R2 values of 0.9349-0.9792 (which are close to unity) for both blanched and unbleached samples. Also, it recorded relatively low values of RMSE and SEE (3.6865 - 2.0896 and 3.6564-2.7486 respectively) for both treatments.  

scholarly journals Application of probability decision system and particle swarm optimization for improving soil moisture content

2021 ◽  
Author(s):  
Panpan Zhu ◽  
Hossein Saadati ◽  
Majid Khayatnezhad
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Natural Disasters ◽  
Goodness Of Fit ◽  
Soil Moisture Content ◽  
Root Zone ◽  
Distribution Functions ◽  
Drought Duration ◽  
Groundwater Exploitation ◽  
The Impact

Abstract Drought is one of the natural disasters having the highest degrees in comparison to the other natural disasters in terms of rate, intensity, incident duration, region expansion, life losses, economic damages, and long-term effects. Hence, the prediction of drought as a meteorological phenomenon should be evaluated to determine the groundwater exploitation strategies in agriculture. The present study aims at investigating the impact of the drought duration and severity on soil moisture supplement for agricultural activities in Baghmalek plain, Khuzestan province, Iran. For this objective, a non-dimensional index of precipitation depth was defined for quantifying the drought characteristics. Furthermore, marginal distribution functions, correlation coefficients and joint functions were incorporated to a probabilistic decision-making framework to predict the variables in different return periods from 2-year to 100-year. Results showed that t copula was the best function for constructing the multivariate distribution in the study area based on the goodness-of-fit tests. Moreover, soil moisture content in the root zone achieved by the predetermined amounts of precipitation could be increased in the seasonal average.

Applying the Anderson-Darling Test to Suicide Clusters

Crisis ◽  
2013 ◽  
Vol 34 (6) ◽  
pp. 434-437 ◽  
Author(s):  
Donald W. MacKenzie
Keyword(s):  
Poisson Process ◽  
Goodness Of Fit ◽  
Small Samples ◽  
Massachusetts Institute Of Technology ◽  
Homogeneous Poisson Process ◽  
Cornell University ◽  
The Difference ◽  
Suicide Clusters ◽  
Institute Of Technology ◽  
Anderson Darling

Background: Suicide clusters at Cornell University and the Massachusetts Institute of Technology (MIT) prompted popular and expert speculation of suicide contagion. However, some clustering is to be expected in any random process. Aim: This work tested whether suicide clusters at these two universities differed significantly from those expected under a homogeneous Poisson process, in which suicides occur randomly and independently of one another. Method: Suicide dates were collected for MIT and Cornell for 1990–2012. The Anderson-Darling statistic was used to test the goodness-of-fit of the intervals between suicides to distribution expected under the Poisson process. Results: Suicides at MIT were consistent with the homogeneous Poisson process, while those at Cornell showed clustering inconsistent with such a process (p = .05). Conclusions: The Anderson-Darling test provides a statistically powerful means to identify suicide clustering in small samples. Practitioners can use this method to test for clustering in relevant communities. The difference in clustering behavior between the two institutions suggests that more institutions should be studied to determine the prevalence of suicide clustering in universities and its causes.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

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