In this paper we test two approaches to reduce littering in urban parks that potentially reinforce each other: Relocating waste receptacles and the presence of watching eyes. Moving from interior exits a park makes collection more efficient, but can have opposing effects: Decreased because greater care inspired by perception natural beauty without artifacts like receptacles, or increased distan...

Moving range queries over mobile objects are important in many location management applications. There have been quite a few research works in this area. However, all existing solutions assume an open space environment, which are either not applicable to spatial network environment or require nontrivial extensions. In this paper, we consider a new class of query called Dynamic Range Query. A dy...

A novel damage detection approach based on Auto-encoder neural network is proposed to identify in beam-like bridges subjected a moving mass. In this approach, several sensors are used measure structural vibration responses during mass across the bridge. An auto-encoder (AE) designed extract features from measured responses. fixed window cut out time-domain generate inputs of AE network. Moreove...

Robust and effective real-time visual tracking is realized by combining the first order differential invariants with the stochastic filtering. The Kaltnan filler as an optimal stochastic filter is used to estimate the motion parameters, narnely the plant state vector of the moving object with the unknown dynamics in successive image frames. Using the fact that the relative motion between the mo...

Accurate daily peak load forecasts are important for secure and profitable operation of modern power utilities, with deregulation and competition demanding ever-increasing accuracies. Machine learning techniques including neural and abductive networks have been used for this purpose. Network committees have been proposed for improving regression and classification accuracy in many disciplines, ...

In this paper we aim at exploiting the temporal coherence among successive phases of a computation, in order to implement a load-balancing technique in mesh-like computations to be mapped on a cluster of processors. A key concept, on which the load balancing schema is built on, is the use of a Predictor component that is in charge of providing an estimation of the unbalancing between successive...