Tampere University of Technology

About: Tampere University of Technology is a based out in . It is known for research contribution in the topics: Laser & Context (language use). The organization has 6802 authors who have published 19787 publications receiving 431793 citations. The organization is also known as: Tampereen teknillinen yliopisto.

Noise estimation and removal in MR imaging: The variance-stabilization approach

Abstract: We develop optimal forward and inverse variance-stabilizing transformations for the Rice distribution, in order to approach the problem of magnetic resonance (MR) image filtering by means of standard denoising algorithms designed for homoskedastic observations.

Blur Identification by Multilayer Neural Network Based on Multivalued Neurons

Abstract: A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of specific different features. Its backpropagation learning algorithm is derivative-free. The functionality of MLMVN is superior to that of the traditional feedforward neural networks and of a variety kernel-based networks. Its higher flexibility and faster adaptation to the target mapping enables to model complex problems using simpler networks. In this paper, the MLMVN is used to identify both type and parameters of the point spread function, whose precise identification is of crucial importance for the image deblurring. The simulation results show the high efficiency of the proposed approach. It is confirmed that the MLMVN is a powerful tool for solving classification problems, especially multiclass ones.

Pilot spacing in orthogonal frequency division multiplexing systems on practical channels

Abstract: The performance of two different channel interpolation methods to be used with orthogonal frequency division multiplexing systems are investigated. The considered schemes use constant pilot frequencies for channel response estimation. The interpolation techniques are piecewise-constant and piecewise-linear methods which due to their inherent simplicity are straightforward to implement. The results are given as error probability vs. pilot separation for a channel with exponential type power-delay profile and M-ary quadrature amplitude (MQAM) submodulation with M=4, 16 and 64.

On the Definition of Microservice Bad Smells

Abstract: Code smells and architectural smells (also called bad smells) are symptoms of poor design that can hinder code understandability and decrease maintainability. Several bad smells have been defined in the literature for both generic architectures and specific architectures. However, cloud-native applications based on microservices can be affected by other types of issues. In order to identify a set of microservice-specific bad smells, researchers collected evidence of bad practices by interviewing 72 developers with experience in developing systems based on microservices. Then, they classified the bad practices into a catalog of 11 microservice-specific bad smells frequently considered harmful by practitioners. The results can be used by practitioners and researchers as a guideline to avoid experiencing the same difficult situations in the systems they develop.

Applications of supercritical carbon dioxide in materials processing and synthesis

Abstract: Supercritical carbon dioxide (scCO2) is carbon dioxide that is held beyond supercritical conditions of 311 °C and 74 MPa As a non-toxic and environmentally benign green solvent, it has been widely used in the food and pharmaceutical industries for extraction However, scCO2 also has many unique properties and thus has great potential for advanced, green materials processing This concise review focuses on its use as a solvent and an anti-solvent in materials processing and synthesis Different experimental routes are described that are used to synthesize bulk materials, thin films, coatings, particle suspensions and powders Examples from the literature are highlighted to illustrate the different experimental set-ups and applications of the resulting materials This review endeavours to reveal the potential and versatility of scCO2 in materials processing and synthesis, aiming to encourage a wider application of scCO2 to open more opportunities in innovative green processing of both traditional and functional materials