Tags:automatic approximation, fatigue factor, human factor, support decision making and trajectory cadet behavior
Abstract:
Contemporary marine education tends to have been using navigation simulators enabling cadets to be trained for any unlikely event. These issues are sure to be in the sector with high demand focusing on safety and, thus, are considered to be extremely beneficial for marine industry. The proposed study aims to identify seafarer fatigue during the maneuver carrying out according to cir-cumstantial evidence and, as a result, the influence of this phenomenon on the trajectory formation of transition or maneuver experiences. In addition, the method of cadet posture identification is generally revealed applying exo - back spine and an automated system for having all information summarized. The study provides the mechanism formation of spatial trajectory taking into ac-count the identification of fatigue indicators. In particular, the spoken above method is reported to be an advantageous one enhancing the probability of hav-ing certain fragments of cadet behavior classification and, eventually, reducing risks of accidents. Furthermore, the study is emphasizing the idea of using clas-sical graphs for the qualitative approximation of the obtained experimental re-sults to be a complete failure. Besides, a formal description of perception and decision-making processes being performed by the cadet by means of modal logic and algebra of events, introduced in the preceding article, forms a basis for determining the stages and individual preferences in the formation of the trajectory transition (maneuver). To make ground, the experiment within the framework of analyses of the mooring operation carrying out is sure to be named an effective one proposing comprehensive approaches and providing the possibility to have models for the formation of the trajectory of the cadet in conditions of fatigue crack factors classified
Formal Approaches to Identify Cadet Fatigue Factors by Means of Marine Navigation Simulators