Radim Lenort

Smart City 360

The rapid development of the Internet of Things (IoT) has provided innovative solutions to reduce traffic accidents caused by fatigue driving. When drivers are in bad mood or tired, their vigilance level decreases, which may prolong the reaction time to emergency situation and lead to serious accidents. With the help of mobile sensing and mood-fatigue detection, drivers’ moodfatigue status can be detected while driving, and then appropriate measures can be taken to eliminate the fatigue or negative mood to increase the level of vigi‐ lance. This paper presents the basic concepts and current solutions of moodfatigue detection and some common solutions like mobile sensing and cloud computing techniques. After that, we introduce some emerging platforms which designed to promote safe driving. Finally, we summarize the major challenges in mood-fatigue detection of drivers, and outline the future research directions.

Decision Support System for Flame-Cutting Machines Scheduling

The article presents Decision Support System for time scheduling of work orders in operations producing heavy plate cut shapes. The IPO (Input – Process – Output) diagram was used to design the mental model of the system. The heart of the system is based on Generalized Assignment Problem and Buffer Management. The mental model was programmed in MS Excel by means of Visual Basic for Applications (VBA) macros.