The following paper presents an innovative approach for dealing with complex capacity problems in aviation. We introduce a sliding window framework composed by an optimization method with a simulation component. By applying this framework in diverse problems that are dependent on time it is possible …

Dit werk is gericht op 3-D lokalisatie van sensormotes in massale zwermen, uitsluitend gebaseerd op 1-D relatieve afstandsmetingen tussen naburige motes. We richten ons op toepassingen in afgelegen en moeilijk toegankelijke omgevingen zoals de exploratie en het in kaart brengen van de binnenkant van …

Citizen participation is booming, especially the number of urban bottom-up initiatives where information and communication technologies (ICT) are deployed is increasing rapidly. This growth is good news for society as recent historical research shows that the more citizens actively and persistently interfere …

The storage of large amounts of network data is a challenging problem, in particular if it still needs to be actively consulted as for example in the case of network forensics. Here we propose a method to compress NetFlow data while simultaneously adding domain knowledge. Our method is based on a pattern …

une 2013 issue of IEEE Transactions on Professional Communication features a special section on 'Designing a Better User Experience for Self-Service Systems'. Self-service systems offers the users the benefit of 24/7 access to an ever-growing range of services and perhaps also a strong sense of autonomy …

In this paper we present a methodology to measure the energy consumption of software. The methodology is based on detailed monitoring of power usage of hardware components. We explain our lab setup after which we apply the methodology to different pieces of DNS resolver software. Through this case study …

Sensor systems can be deployed in the homes of older adults living alone for functional health assessments. Their information is very useful for health care specialists. The problem lies in developing person independent models while facing a large variability in behavior. We address this problem by, …

The performance of human-robot collaboration tasks can be improved by incorporating predictions of the human collaborator's movement intentions. These predictions allow a collaborative robot to both provide appropriate assistance and plan its own motion so it does not interfere with the human. In the …

We present a novel hierarchical model for human activity recognition. In contrast with approaches that successively recognize actions and activities, our approach jointly models actions and activities in a unified framework, and their labels are simultaneously predicted. The model is embedded with a …

The years ahead will see the creation of a global ecosystem of industrial production processes and products linked in networks. Within this ecosystem, industrial products will be developed, produced/manufactured, monitored and maintained using available data and information. The characteristic of this …