Pregnancy care is a topic of interest for both academia and practitioners. Novel pervasive technologies and applications, such as mobile technologies, wearables and IoT, open a wide corpus of possibilities for fostering pregnancy care management, and reducing risks and problems, improving communication among stakeholders and society development. This article introduces a model of a pregnancy care IT ecosystem based on the integration of various services in a semantically enriched e-health ecosystem. As proof of concept, both the web and mobile applications that aim to help pregnant women and gynaecologists were designed and employed in a real environment. An evaluation of the developed ecosystem was performed on a sample of 500 pregnant women and 100 doctors. After pilot usage, a survey was used to collect the data from participants, and assess the acceptance of the developed system. Results show that quality, usability and usefulness are on a high level, and that both pregnant women and doctors are ready for more extensive use of the system. In addition, research findings imply that employing pervasive technologies could bring significant benefits to all the parties in pregnancy care systems.

In GPS, correlation function distortion of the received signal due to multipath propagation can gravely degrade the position estimation. The positioning accuracy is strongly affected by the quality of the signal propagation time estimations. This paper presents an approach to the Sequential Monte Carlo filtering for the time delay estimation of direct and multipath signals. Filtering is done approximating posterior density function for time delays. Through comparative analysis, using simulated GPS signal, advantages of this method are presented.

The transport of dangerous goods by road represents a specific problem, considering that these vehicles can have great negative effects on people and the environment in the event of an accident. In the last few decades, various methods have been defined for risk management in this area. Most of these methods are based on reducing the probability and the consequences of an accident. In a large number of cases, the probability of the occurrence is in much greater focus than the consequences. To fill this gap, we created a new model for assessing the consequences on the population in the event of a fire during gasoline transportation. The model is based on the hypothesis that hazard intensity is directly proportional to the intensity of the heat generated by the fire and inversely proportional to the distance from the accident. The model was implemented through a Belgrade case study with multi-agent simulation. The results of the paper show that there is a 43% probability that there would be between 11 and 28 casualties in the observed location in the event of an accident. This confirms the initial hypothesis and shows that the model can be successfully used to assess the consequences.

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Rezime:Efikasan tarifni koncept podrazumeva da cena odražava kvalitet servisa. Osim tarifnog koncepta, za provajdera Internet servisa značajan je i izbor odgovarajućeg scenarija naplate. U ovom radu razmatrani su različiti scenariji naplate za tarifni koncept zasnovan na kvalitetu servisa, koji je usredsređen na zahteve korisnika. Radi analize varijacija prihoda provajdera Internet servisa u zavisnosti od primenjenog scenarija naplate primenjen je model simulacije diskretnih događaja koji može biti koristan provajderima Internet servisa u procesu izbora scenarija naplate sa ciljem maksimiziranja prihoda. Analiziran je prihod provajdera Internet servisa za različite scenarije naplate.