Growing concerns regarding urban congestion, and the recent explosion of mobile devices able to provide real-time information to traffic users have motivated increasing reliance on real-time route guidance for the online management of traffic networks. However, while the theory of traffic equilibria is very well-known, fewer results exist on the stability of such equilibria, especially in the c...

In the literature on replacement/maintenance policies for systems of stochastically failing machines, it is generally assumed that the failure time parameters are known and the objective is to find a replacement policy that minimizes expected cost per unit of time. In practice, however, the variability of costs can be an important consideration. In addition, most managers would want to adapt to...

Modern distributed applications, such as distributed multi-media and mobile applications, face unpredictable operating conditions and load variations. Performance cannot be designed into such applications in advance; they have to be able to tune themselves into unexpected environments and to adapt to changes over time. We see many examples of single adaptations in applications and middleware, b...

Current convolutional neural networks algorithms for video object tracking spend the same amount of computation for each object and video frame. However, it is harder to track an object in some frames than others, due to the varying amount of clutter, scene complexity, amount of motion, and object’s distinctiveness against its background. We propose a depth-adaptive convolutional Siamese networ...

Real-time applications with high dependability requirements demand for fault tolerance strategies. While for small systems with static behaviour policies based on worst case execution times can be used, this is not true for more complex systems, in which worst case execution times are partially unknown or differ drastically from their average execution time. In such cases often only a minimum o...

We propose a novel adaptive reservation scheme designed to operate in association with the well-known Multiple Guard Channel (MGC) admission control policy. The scheme adjusts the MGC configuration parameters by continuously tracking the Quality of Service (QoS) perceived by users, adapting to any mix of aggregated traffic and enforcing a differentiated treatment among services during underload...

Planning a trip with an electric vehicle requires consideration of both battery dynamics and the availability of charging infrastructure. Recharging costs for an electric vehicle, which increase as the battery’s charge level increases, are fundamentally different than refueling costs for conventional vehicles, which do not depend on the amount of fuel already in the tank. Furthermore, the viabi...

In most of software systems, designers try to include some self-adaptation facilities to increase the reliability of their systems. However, despite of the new methods and technologies in software engineering such as CBSE, or AOP, it is still difficult to talk about adaptation since adaptation policies might impact the architecture, the configuration data, and some extra-functional features as ...

Though convolutional neural networks have made significant improvements to the task of video tracking, they come at the cost of being extremely computationally expensive. In this work, we make the observation that different frames in a video can require different levels of network complexity in order to track with high accuracy. To exploit this, we propose a fully convolutional Siamese network ...

Background. Viral load (VL) monitoring for patients receiving antiretroviral therapy (ART) is recommended worldwide. However, the costs of frequent monitoring are a barrier to implementation in resource-limited settings. The extent to which personalized monitoring frequencies may be cost-effective is unknown. Methods. We created a simulation model parameterized using person-level longitudinal...