Safety Science and Technology
9781774696583
468 pages
Arcler Education Inc
Overview
In this book we present different topics from safety science and technology, including: safety-critical systems, safety simulation techniques, safety in transport and vehicles, and safety analysis in medicine (hospitals). Section 1 focuses on safety-critical systems, describing architecture level safety analyses for safety-critical systems, safety assessment of nuclear power plants for liquefaction consequences, the Fukushima nuclear accident: insights on the safety aspects, an augmented framework for formal analysis of safety critical systems, and concepts of safety critical systems unification approach & security assurance process. Section 2 focuses on safety simulation techniques, describing the marine safety simulation based electronic chart display and information system, improved modelling and assessment of the performance of firefighting means in the frame of a fire PSA, scenario grouping and classification methodology for postprocessing of data generated by integrated deterministic-probabilistic safety analysis, demonstration of emulator-based Bayesian calibration of safety analysis codes: theory and formulation, microscopic simulation-based high occupancy vehicle lane safety and operation assessment: a case study. Section 3 focuses on safety in transport and vehicles, describing safety of autonomous vehicles, studying the safety impact of autonomous vehicles using simulation-based surrogate safety measures, advanced modeling and simulation of vehicle active aerodynamic safety, and analyzing driving safety using vehicle-water-filled rutting dynamics model and simulation. Section 4 focuses on safety analysis in medicine (hospitals), describing establishing patient safety in intensive care - a grounded theory, analysis of critical incidents during anesthesia in a tertiary hospital, healthcare professional’s perception of patient safety measured by the hospital survey on patient safety culture: a systematic review and meta-analysis, and uncertainty of clinical thinking and patient safety.
Author Bio
Dr. Zoran Gacovski’s current position is a full professor at the Faculty of Technical Sciences, “Mother Tereza” University, Skopje, Macedonia. His teaching subjects include Software engineering and Intelligent systems, and his areas of research are: information systems, intelligent control, machine learning, graphical models (Petri, Neural and Bayesian networks), and human-computer interaction. Prof. Gacovski has earned his PhD degree at Faculty of Electrical engineering, UKIM, Skopje. In his career he was awarded by Fulbright postdoctoral fellowship (2002) for research stay at Rutgers University, USA. He has also earned best-paper award at the Baltic Olympiad for Automation control (2002), US NSF grant for conducting a specific research in the field of human-computer interaction at Rutgers University, USA (2003), and DAAD grant for research stay at University of Bremen, Germany (2008 and 2012). The projects he took an active participation in, are: “A multimodal human-computer interaction and modelling of the user behaviour" (for Rutgers University, 2002-2003) - sponsored by US Army and Ford; “Development and implementation of algorithms for guidance, navigation and control of mobile objects" (for Military Academy – Skopje, 1999-2002); “Analytical and non-analytical intelligent systems for deciding and control of uncertain complex processes" (for Macedonian Ministry of Science, 1995-1998). He is the author of 3 books (including international edition “Mobile Robots”), 20 journal papers, over 40 Conference papers, and he is also a reviewer/ editor for IEEE journals and Conferences.
