Zobrazeno 1 - 9
of 9
pro vyhledávání: '"SEPIDEH NOURIAN"'
Publikováno v:
بهداشت و ایمنی کار, Vol 12, Iss 4, Pp 784-799 (2022)
Introduction: Affinity for Technology Interaction (ATI) refers to the users’ tendency to actively interact with a digital system. ATI is a personal characteristic affecting many aspects of human-technology interaction. The present study aimed to as
Externí odkaz:
https://doaj.org/article/d109cd15669b404eadeae288a670e914
Publikováno v:
International Journal of Occupational Hygiene, Vol 5, Iss 4 (2015)
Anthropometry is the study of human body dimensions and proportions among different races. In work environments, poorly designed workstations and tools reduce productivity and can lead to fatigue and musculoskeletal injuries. This study aimed to dete
Externí odkaz:
https://doaj.org/article/56a4eace9cb449f3a581e39b437b765f
Autor:
Stavros Avramidis, Sepideh Nourian
Publikováno v:
Wood Material Science & Engineering. 16:221-228
This research focuses on exploring commercial heat treatment on western hemlock product quality for potentially new applications and markets for this abundant Pacific Northwest coast softwood speci...
Publikováno v:
Wood Science and Technology. 53:1093-1109
Visible and near-infrared (VIS–NIR) spectroscopy was used for classifying and predicting the properties of thermally modified Western hemlock wood. The specimens were treated at 170 °C, 212 °C, and 230 °C. The dimensional reduction was performed
Publikováno v:
Holzforschung. 73:827-838
This study investigated using the stress wave method to predict the properties of thermally modified wood by means of an adaptive neuro-fuzzy inference system (ANFIS) and neural network (NN) modeling. The stress wave was detected using a pair of acce
Publikováno v:
Holzforschung. 73:381-392
The effect of thermal modification (TM) on the color of western hemlock wood and its physical and mechanical properties were investigated. The focus of this study was the prediction of material properties of thermally modified wood based on the color
Publikováno v:
Wood Science and Technology. 53:275-288
Classification of thermally modified wood is a critical assessment and control task that assures the quality of thermally treated wood. Machine learning methods can be used for identifying the optimal feature(s) for wood classification. In this study
Publikováno v:
European Journal of Wood and Wood Products. 77:45-55
Classification of thermally modified wood (TMW) allowing the distinction between different processing temperatures and the corresponding changes in wood properties is a crucial task in TMW grading. In this study, stress wave evaluation technique was
Publikováno v:
Journal of Environmental Health Science and Engineering
Background As a well-known, physical carcinogen, ambient X-ray pollution assessment would be of great importance in today’s modern world. Accordingly, the present study was done to measure the exposure level of ambient X-ray at inspection gates of