Human error is cited as the predominant cause of transportation accidents. This paper describes the modeling of human error related accident event sequences in a risk assessment of maritime oil transportation in Prince William Sound, Alaska. The risk analysts were confronted with incomplete and misleading data that made it dicult to use theoretical frameworks. They were required, therefore, to...

The research in the field of Advanced Driving Assistance Systems (ADAS) is oriented towards improving the safety, quality, mobility, and efficiency of driving. The first generation of ADAS was limited to mere passive assistance through warnings; for such systems the perception of the environment through various, complementary sensors was the main objective. As the ADAS evolve and incorporate ac...

This study aimed at investigating the effect of Dynamic Assessment on vocabulary learning of Iranian EFL learners. Although it is widely acknowledged that this type of assessment can prove to be very effective for different aspects of language instruction, not much consideration has been given to DA of vocabulary. This study was an attempt to determine if DA procedures would improve students’ v...

The present study reports on the thematic analysis of Iranian EFL teachers' perceptions of dynamic assessment in relation to their academic degree and length of service. To this end, 42 Iranian EFL teachers participated in the study. Of these teachers, 22 held BA and 20 held MA degrees in ELT-related subjects, with varying lengths of service. Semistructured interviews were used to inquire into ...

An artificial neural network can be used as an intelligent controller to control non-linear, dynamic system through learning. It can easily accommodate non-linearities and time dependencies. Most common multi-layer feed-forward neural networks have the drawbacks of large number of neurons and hidden layers required to deal with complex problems and require large training time. To overcome these...