Explicit temporal representation and reasoning (TRR) in medical decision-support systems (MDSS) is generally considered to be a useful but often neglected aspect of system design and implementation. Given the great burden of explicit TRR both in knowledge acquisition and computational efficiency, developers of general-purpose large-scale systems typically utilize implicit (i.e., abstracted) for...

In this paper, we present user pattern learning algorithm based MDSS (Medical Decision support system) under ubiquitous. Most of researches are focus on hardware system, hospital management and whole concept of ubiquitous environment even though it is hard to implement. Our objective of this paper is to design a MDSS framework. It helps to patient for medical treatment and prevention of the hig...

Winter road maintenance practitioners have expressed a strong interest in obtaining weather and road condition forecasts and treatment recommendations specific to winter road maintenance routes. These user needs led the Federal Highway Administration (FHWA) Office of Transportation Operations Road Weather Management Program to support the development of a prototype winter road Maintenance Decis...

OBJECTIVE To assess the reliability of maternal deaths surveillance system (MDSS) and to determine the factors that influence its completeness in one region of Morocco. METHODS We conducted a retrospective survey in "Gharb Chrarda Bni Hssen" region (GCBH) between January the 1st, 2013 and September the 30th, 2014 using multiple sources approach. All deaths of women of reproductive age (WRA) w...

Information technology may be able to help people become better ethical decision makers. This paper explores philosophical and psychological issues underlying the design of a moral dilemma support system (MDSS). The effects of schemas, decision strategies, social information, and emotions on dilemma analysis are considered. MDSS features that would help people understand moral dilemmas, choose ...

Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly accelerated deploying Connected Automated Vehicles (CAVs). Integrating V2X with 5G has enabled Ultra-Reliable Low Latency Communications (URLLC) to CAVs. However, while communication performance been enhanced, security privacy issues increased. Attacks become more aggressive, attackers strategic. Public Ke...