A local blur estimation method is proposed, based on the difference between the gradient and the residue of the toggle mapping. This method is able to compare the quality of images with different content and does not require a contour detection step. Qualitative results are shown in the context of the LINX project. Then, quantitative results are given on DIQA database, outperforming the combina...

A fluorescence resonance energy transfer (FRET) platform for the detection of ozone was developed by combining the overlap of the fluorescence spectrum of Ru(bpy)3(2+)-doped silica nanoparticles with the absorption spectrum of indigo carmine at around 600 nm. This FRET system can be used to detect ozone simply within 10 min. Simple qualitative ozone detection methods using cotton swabs or paper...

The STSM took place from May 25 th 2010 to June 25 th 2010. The purpose was to evaluate different sensors, locations and algorithms for real-time step detection for use in sonic interaction, using both quantitative and qualitative evaluation. For the quantitative evaluation, we compare the results with a Ground Truth derived from pressure sensors in the shoes. The qualitative evaluation is done...

This paper presents a systematic methodology for building causal models that can be used for fault detection and isolation. The aim of a causal model is to capture the influences between the variables of a continuous process and to generate qualitative and quantitative knowledge that is interpreted by a diagnostic module. Following a model-based approach for fault detection, the diagnostic modu...

Three psychoactive arylcyclohexylamines, advertised as "research chemicals," were obtained from an online retailer and characterized by gas chromatography ion trap electron and chemical ionization mass spectrometry, nuclear magnetic resonance spectroscopy and diode array detection. The three phencyclidines were identified as 2-(ethylamino)-2-(3-methoxyphenyl)cyclohexanone (methoxetamine), N-eth...

Up to now model-based online fault detection and diagnosis is rarely applied in process automation and chemical industries. The main reason is the big effort, which is necessary to develop a comprehensive model for a technical system under various circumstances. However the growing complexity of plants and facilities requires increasingly the use of formal methods to analyse and monitor the sys...