Heat wave hazard classification and risk assessment using artificial intelligence fuzzy logic.

The average summer temperatures as well as the frequency and intensity of hot days and heat waves are expected to increase due to climate change. Motivated by this consequence, we propose a methodology to evaluate the monthly heat wave hazard and risk and its spatial distribution within large cities. A simple urban climate model with assimilated satellite-derived land surface temperature images was used to generate a historic database of urban air temperature fields.

Automated skin lesion assessment using mobile technologies and cloud platforms.

This paper presents a smart phone based system for storing digital images of skin areas depicting regions of interest (lesions) and performing self-assessment of these skin lesions within these areas. The system consists of a mobile application that can acquire and identify moles in skin images and classify them according their severity into melanoma, nevus and benign lesions. The proposed system includes also a cloud infrastructure exploiting computational and storage resources.

Multi-objective evolutionary emergency response optimization for major accidents.

Emergency response planning in case of a major accident (hazardous material event, nuclear accident) is very important for the protection of the public and workers' safety and health. In this context, several protective actions can be performed, such as, evacuation of an area; protection of the population in buildings; and use of personal protective equipment. The best solution is not unique when multiple criteria are taken into consideration (e.

Statistical analysis of incidents reported in the Greek Petrochemical Industry for the period 1997-2003.

This paper makes an analysis of all reported accidents and incidents in the Greek Petrochemical Industry for the period spanning from 1997 to 2003. The work performed is related to the analysis of important parameters of the incidents, their inclusion in a database adequately designed for the purposes of this analysis and an importance assessment of this reporting scheme. Indeed, various stakeholders have highlighted the importance of a reporting system for industrial accidents and incidents.

A multidisciplinary decision support system for forest fire crisis management.

A wildland fire is a serious threat for forest ecosystems in Southern Europe affecting severely and irreversibly regions of significant ecological value as well as human communities. To support decision makers during large-scale forest fire incidents, a multidisciplinary system has been developed that provides rational and quantitative information based on the site-specific circumstances and the possible consequences. The system's architecture consists of several distinct supplementary modules of near real-time satellite monitoring and fire forecast using an integrated framework of satellite Remote Sensing, GIS, and RDBMS technologies equipped with interactive communication capabilities.