Metabolic rate and clothing insulation data of children and adolescents during various school activities

Havenith, George

doi:10.1080/00140130701587574

Cited by 83 publications

(35 citation statements)

References 18 publications

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“…From these findings, it can be suggested that cloths weight is the most significant and very effective factor in school wear children. All findings of this study are consistent with Garson equation relative effect analysis and Havenith [4] and Al-Rashidi et al [10] studies.…”

Section: Variables Sensitivity Analysissupporting

confidence: 82%

“…These inputs variables were used in McCullough et al [8] regression equation, with Havenith [4] corrections to fit adult sizes, for calculating the intrinsic clothing insulation:…”

Section: Neural Network Designmentioning

confidence: 99%

“…All thermal comfort field studies were conducted in classrooms, except those of Havenith [4] and Al-Rashidi et al [5][6][7], in which the estimation of children's clothing insulation values from the standard tables was based on adult measurements. McCullough et al ' study [8], which itself was based on adult clothing, was adapted by Havenith [4] to fit the children's sizes by scaling the measurements of the equation's input parameters.…”

Section: Introductionmentioning

confidence: 99%

“…McCullough et al ' study [8], which itself was based on adult clothing, was adapted by Havenith [4] to fit the children's sizes by scaling the measurements of the equation's input parameters. In McCullough et al [9] and Al-Rashidi et al [5][6][7] studies, the children's clothing insulation values were measured using adult-sized thermal manikins using children's clothing manufactured in adult's sizes.…”

Section: Introductionmentioning

confidence: 99%

“…The insulation of the different clothing ensembles was determined by measurement using adult-sized versions of the clothing on thermal manikins, estimations from adult clothing data obtained from the standards tables in [3,11], and calculations using a regression equation from McCullough et al [8] that was adapted by Havenith [4] to accommodate children's sizes.…”

Section: Introductionmentioning

confidence: 99%

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Artificial Neural Network Estimation of Thermal Insulation Value of Children’s School Wear in Kuwait Classroom

Al-Rashidi¹,

Alazmi

2015

Advances in Artificial Neural Systems

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Artificial neural network (ANN) was utilized to predict the thermal insulation values of children's school wear in Kuwait. The input thermal insulation data of the different children's school wear used in Kuwait classrooms were obtained from study using thermal manikins. The lowest mean squared error (MSE) value for the validation data was 1.5 × 10 −5 using one hidden layer of six neurons and one output layer. The R 2 values for the training, validation, and testing data were almost equal to 1. The values from ANN prediction were compared with McCullough's equation and the standard tables' methods. Results suggested that the ANN is able to give more accurate prediction of the clothing thermal insulation values than the regression equation and the standard tables methods. The effect of the different input variables on the thermal insulation value was examined using Garson algorithm and sensitivity analysis and it was found that the cloths weight, the body surface area nude (BSA 0 ), and body surface area covered by one layer of clothing (BSAC 1 ) have the highest effect on the thermal insulation value with about 29%, 27%, and 23%, respectively.

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Section: Variables Sensitivity Analysissupporting

confidence: 82%

“…These inputs variables were used in McCullough et al [8] regression equation, with Havenith [4] corrections to fit adult sizes, for calculating the intrinsic clothing insulation:…”

Section: Neural Network Designmentioning

confidence: 99%