An Introduction to Integrated Optics for Computing

Sluss, James J.; Veasey,; Batchman,; Parrish,

doi:10.1109/mc.1987.1663443

Cited by 9 publications

(2 citation statements)

References 9 publications

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“…According to Bland and Altman (1997) and DeVellis (2003), a Cronbach's alpha value close to or above 0.70 would suggest acceptable internal consistencies among indicators. The Structural Equation Modeling (SEM), which had been widely used in behavioral sciences based on a combination of factor analysis and path analysis (Hox and Bechger 1998), was adopted in this study to test these correlations among safety investment, safety cognition, and behavioral safety performance described in Fig.1 and Fig.2. The sample size for SEM was suggested to be not lower than 10 times the number of variables (Bentler and Chou 1987;Bollen 2014;Nunnally 1967).…”

Section: Structural Equation Modeling Approachmentioning

confidence: 99%

Structural Equation Modeling Approach to Studying the Relationships among Safety Investment, Construction Employees’ Safety Cognition, and Behavioral Performance

Han

Cao

et al. 2020

J. Constr. Eng. Manage.

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This study aimed to investigate the internal relationships between safety investments and construction employees' behavioral performance with safety cognition as the mediating factor. A comprehensive methodology was adopted, including theoretical modeling of safety investments, questionnaire survey, and Structural Equation Modeling (SEM). In the theoretical model, four factors (i.e., personal protection equipment (PPE), safety education, insurance purchased for site employees, and safety incentives) were adopted as safety investment categories. These four categories were studied of their correlation to the overall safety investment, which was tested of its contribution to employees' behavioral safety performance in both direct and indirect ways. Indirectly, safety cognition was introduced as a mediator to bridge safety investments and behavioral performance. A questionnaire consisting of 28 indicators was adopted to describe safety investment, safety cognition, and behavioral performance. A random sampling approach and the top-down method were implemented to recruit construction site employees from the southeastern region of China. The follow-up SEM analysis revealed that all the four investment categories positively contributed to the overall safety investment, which was found significantly correlated to employees' safety cognition and behavioral performance. Safety incentive was identified as the most significant factor contributing to the overall investment. The current study extends

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Section: Structural Equation Modeling Approachmentioning

confidence: 99%

Structural Equation Modeling Approach to Studying the Relationships among Safety Investment, Construction Employees’ Safety Cognition, and Behavioral Performance

Han

Cao

et al. 2020

J. Constr. Eng. Manage.

View full text Add to dashboard Cite

show abstract

“…Most of them operate in a high contrast mode, producing a two-dimensional hght modulation that is proportional to a thresholded version of an image, thereby simulating the action of neurons [151]. Although several other approaches have been investigated to simulate an array of neurons [174], the research in optoelectronics [89,169] is probably the most important, in which two-dimensional arrays of detectors and light emitters (using light emitting diodes -LEDs) are integrated onto a single substrate. A proposal for such an optoelectronic neural system has been reported in [101].…”

Section: Optical Neurocomputersmentioning

confidence: 99%