Advances in active 3D range sensors have enabled the recording of depth maps at video frame rates. Unfortunately, the captured depth data is often noticeably contaminated with noise. We present a series of statistical analyses and denoising techniques to improve the raw output of depth sensors. Unifying our investigations is the concept that in the presence of high sensor noise, the ability to ...

We consider noisy, non–local unitary operations or interactions, i.e. the corresponding evolutions are described by completely positive maps or master equations of Lindblad form. We show that by random local operations the completely positive maps can be depolarized to a standard form with a reduced number of parameters describing the noise process in such a way that the noiseless (unitary) par...

GIS is an effective tool to accumulate various kinds of numerical maps and the attribute data relating to road traffic noise and to analyze the correlations between the data. In addition, combining prediction method of the road traffic noise with the benefits of GIS allows us to evaluate the noise field, from the past to the future, at areas facing roads concerned. Since propagation of road tra...

This paper develops a computational acoustic beamforming (CAB) methodology for identification of sources of small wind turbine noise. This methodology is validated using the case of the NACA 0012 airfoil trailing edge noise. For this validation case, the predicted acoustic maps were in excellent conformance with the results of the measurements obtained from the acoustic beamforming experiment. ...

A teacher must consider many details when planning and organizing a course. This paper shows how the new Topic Map computer technology can help in this process. The developed Topic Map for the CS knowledge domain is used for the analysis of introductory CS courses, but it can be also applied to other courses, including in noncomputer disciplines. Well-structured Topic Maps may become a solid ba...

As Topic Maps allow a structural representation of knowledge, this structure often needs to be visually presented to end-users. Issues, often contradictory, such as representation and navigation re-

Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel approach to monitor noise pollution involving the general public. Using their mobile phones as noise sensors, we ...

In this contribution, we address exploratory search where a user is faced with an information need concerning a domain he lacks specific knowledge. Based on the work of Delbru et al., which introduced metrics to measure the navigational quality of automatically selected facets for RDF data, we apply those findings to the semantically richer TMDM and show how exploratory search functionality can...