OBJECTIVE The objective of this study was to assess relationships between body mass index (BMI) and comorbid conditions within a large sample of truck drivers. METHODS Commercial driver medical examination data from 88,246 commercial drivers between 2005 and 2012 were analyzed for associations between BMI, medical disorders, and driver certification. RESULTS Most drivers were obese (53.3%, ...

PSPICE modeling of a commercial LED driver IC (TOP245P) and PC817A optocoupler is proposed for the switch-mode power supply (SMPS) (applicable to LED driver) design and simulation. An analog behavioral model of the TOP245P IC including the shunt regulator, undervoltage(UV) detection, over-voltage(OV) shut-down and SR flip-flop is developed by using PSPICE. The empirical equation of PC817A curre...

We present research in progress to develop an “Aware” vehicle concept to improve operator performance, mobility and safety. The Aware Vehicle project, in part, seeks to develop systems that communicate with the infrastructure, monitor the operating environment and detect operator state. A further component of this system is informational feedback to the driver that will inform the driver of the...

Face orientation can be used to derive vigilance cues about the vehicle driver. In this paper, a face pose estimation model based on visual features is presented. The face orientation is estimated through SVM with features detection such as eyes, mouth, facial outlines and so on. Innovative point of this research is the utilization of the features triangle, which composed with eyes and mouth lo...

The rise of peer-to-peer marketplaces has led to many previously unrated commercial transactions being rated. Of course, online rating systems can lead, on occasion, to reviews that are unfair or unrepresentative of the true quality provided. On the one hand, receiving an unfairly low rating once, might induce participants to exert more effort and receive a better rating the next time. On the o...

Multivariate classification models play an increasingly important role in human factors research. In the past, these models have been based primarily on discriminant analysis and logistic regression. Models developed from machine learning research offer the human factors professional a viable alternative to these traditional statistical classification methods. To illustrate this point, two mach...

evidence from the early and late industrializes shows that technology, as the commercial application of scientific knowledge, has been a major driver of industrial and economic development. international technology transfer is now being recognized as having played an important role in the development of the most successful late industrializes of the second half of the 20th century. our society ...

Equine transportation research has largely focused on the commercial land movement of horses. Data on the incidence and factors associated with horse injuries during non-commercial transportation (privately owned horse trucks and trailers) is scant. This study surveyed 223 drivers transporting horses to 12 equestrian events in southeastern Australia. Data collected encompassed driver demographi...