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IoT and big data technologies for monitoring and processing real-time healthcare data University of Antwerp
Recent advances in pervasive technologies, such as wireless, ad hoc networks, and wearable sensor devices, allow the connection of everyday things to the Internet, commonly denoted as the Internet of Things (IoT). The IoT is seen as an enabler to the development of intelligent and context-aware services and applications. However, handling dynamic and frequent context changes is a difficult task without a real-time event/data acquisition and ...
IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare Data Vrije Universiteit Brussel
Recent advances in pervasive technologies, such as wireless, ad hoc networks, and wearable sensor devices, allow the connection of everyday things to the Internet, commonly denoted as the Internet of Things(IoT). The IoT is seen as an enabler to the development of intelligent and context-aware services and applications. However, handling dynamic and frequent context changes is a difficult task without a real-time event/data acquisition and ...
On the use of IoT and big data technologies for real-time monitoring and data processing University of Antwerp
Recent advances in pervasive technologies, such as wireless ad hoc networks and wearable sensor devices, allow the connection of everyday things to the Internet, commonly denoted as Internet of Things (IoT). IoT is seen as an enabler to the development of intelligent and context-aware services and applications. These services could dynamically react to the environment changes and users preferences. The main aim is to make users life more ...
MOBI-AID: A Big Data Platform for Real-Time Analysis of OnBoard Unit Data Vrije Universiteit Brussel
Every day large amounts of goods are transported by heavy-goods vehicles over the road network. Being able to monitor and analyse heavy-goods vehicle traffic is essential to define policies able to minimize the impact of negative effects. However,this requires dealing with large amounts of data and often a dense road network, especially in an urban setting. This paper introduces a platform that makes use of state-of-the-art big data technologies ...
Real-Time Crash Risk Prediction Models using Loop Detector Data for Dynamic Safety Management System Applications Hasselt University
There is a growing trend in development and application of real-time crash risk prediction models within dynamic safety management systems. These real-time crash risk prediction models are constructed by associating crash data with the real-time traffic surveillance data, collected by loop detectors. The objective of this paper is to develop a real-time prediction model that will potentially be utilized within safety management systems. This ...
Continuously updating query results over real-time linked data Ghent University
Moving real-time linked data query evaluation to the client Ghent University
A scalable software framework for real-time data processing in the railway environment Ghent University
Application of a Rule-Based Approach in Real-Time Crash Risk Prediction Model Development using Loop Detector Data Hasselt University
Objectives: There is a growing trend in development and application of real-time crash risk prediction models within dynamic safety management systems. These real-time crash risk prediction models are constructed by associating crash data with the real-time traffic surveillance data (e.g. collected by loop detectors). The main objective of this paper is to develop a real-time risk model that will potentially be utilized within traffic management ...