Conveners
Stochastic monitoring systems
- Jiří Franc (Czech Technical University (CZ))
Stochastic monitoring systems
- Václav Kůs (Department of Mathematics, FNSPE Czech Technical University in Prague)
Stochastic monitoring systems
- Tomáš Hobza (Department of Mathematics, FNSPE Czech Technical University in Prague)
Stochastic monitoring systems
- Tomáš Hobza (Department of Mathematics, FNSPE Czech Technical University in Prague)
The paper presents a new theory of invariants to Gaussian blur. Unlike earlier methods, the blur kernel may be arbitrary oriented, scaled and elongated. Such blurring is a semi-group action in the image space, where the orbits are classes of blur-equivalent images. We propose a non-linear projection operator which extracts blur-insensitive component of the image. The invariants are then...
Variational Bayes method has been previously used for analysis of scintigraphic image sequences. The aim of the analysis is to extract time-activity curves of radiotracer in different regions of scanned body part. This problem may be viewed as a nonnegative matrix factorization, the sequence can be decomposed into a matrix of factor curves and a matrix of factor images. Modelling factor curves...
General introduction of Mechatronics department of Porsche Engineering Services. Areas of intrest of our organisational units with some examples of finished or ongoing projects. There is growing activity in ADAS development in Prague, which provides some oportunities for advanced signal processing, signal fusion, picture processing and so on. We also cooperate with academic partners, mainly...
Independent Component Extraction (ICE) is a novel approach based on fundamentals of Independent Component Analysis that deals with the blind source separation. The model assumes a linear mixutre of indepent sources of interest (SOIs) and aims to restore them from the mixture. In ICE, only one SOI is extracted and the rest is considered as a background.
Most of the applications of ICA/ICE are...
Accurate and effective assessment of individual and collective behaviour as well as team dynamics is a key managerial task. Current methods, including annual employee reports and direct observations, are dependent on either manager's emotional capacity or employee's ability to assess his overall affective state. Therefore, we present method allowing continuous stream of information and...
The purpose of this work is to show some aspects of developing higher-order numerical schemes for the flow in porous medium. Gentel introduction to Mixed-Hybrid FEM method is involved. Particularly we show the development of the second-order scheme both in space and time . Also, we verify the validity of the scheme on the 1D problem consisting of single porous medium equation by means of the...
In most automobile factories, the quality inspection process is mainly performed by human vision, which is often insufficient and unstable. The artificial intelligence can improve some parts of this control process. The aim of our project was to develop the "Proof-of-concept" of such an automated visual inspection system. We focused on the level of cooling liquid and mismatching wheel rims....
Our main goal is to develop a system detecting faulty parts of assembled products, such as the low level of cooling liquid or mismatching wheel rims for a large automotive company. We installed two cameras to collect data of a car engine space and wheel rims. So far we analyzed data of a car engine space by several methods of image recognition. In the future we will recognize the low level of...
This presentation will be focusing on analyzing data about failures of a product for a company from automotive industry. The exploratory data analysis shows how different factors of a product can influence the failure rates. Secondly the failure rates will be analyzed as a time series. What we are hoping for is to explain the seasonalities and trends for different failures depending on...
Many well-known problems like ranking problems or hypothesis testing, fall into the class of tasks in which the goal is to classify only a specific amount of the most relevant samples. In our previous work, we investigated the properties of such problems and showed that each of them falls into our general formulation.
This paper describes three main problems which fall into our formulation,...
