Computer Science
Loading...
ISSN 1508-2806
e-ISSN: 2300-7036
Issue Date
2017
Volume
Vol. 18
Number
No. 2
Description
Reviewed by: Arnd Meyer, Pawel Matuszyk, Adam Jatowt, Tolga Yildiz, Xuemin Lin, Lu Chen, Thomas Schaaf, Milan Rusko, Miguel Lopez, Jose Sastre, Sashko Ristov, Marisa Gil
Journal Volume
Computer Science
Vol. 18 (2017)
Projects
Pages
Articles
Applications of alternating direction solver for simulations of time-dependent problems
(Wydawnictwa AGH, 2017) Łoś, Marcin Mateusz; Paszyński, Maciej
This paper deals with the application of an Alternating Direction Solver (ADS) to a non-stationary linear elasticity problem solved with the isogeometric finite element method (IGA-FEM). Employing a tensor product $B$-spline basis in isogeometric analysis under some restrictions leads to a system of linear equations with a matrix possessing a tensor product structure. The ADI algorithm is a direct method that exploits this Kronecker product structure to solve the system in $O (N)$, where $N$ is the number of degrees of freedom (basis functions). This is asymptotically faster than state-of-the-art, general-purpose, multi-frontal direct solvers when applied to explicit dynamics. In this paper, we also present a complexity analysis of the ADS incorporating dependence on the $B$-spline basis of order $p$.
Comparison and adaptation of automatic evaluation metrics for quality assessment of re-speaking
(Wydawnictwa AGH, 2017) Wołk, Krzysztof; Koržinek, Danijel
Re-speaking is a mechanism for obtaining high-quality subtitles for use in live broadcasts and other public events. Because it relies on humans to perform the actual re-speaking, the task of estimating the quality of the results is non- trivial. Most organizations rely on human effort to perform the actual quality assessment, but purely automatic methods have been developed for other similar problems (like Machine Translation). This paper will try to compare several of these methods: BLEU, EBLEU, NIST, METEOR, METEOR-PL, TER, and RIBES. These will then be matched to the human-derived NER metric, commonly used in re-speaking. The purpose of this paper is to assess whether the above automatic metrics normally used for MT system evaluation can be used in lieu of the manual NER metric to evaluate re-speaking transcripts.
Hardware-aware tiling optimization for multi-core systems
(Wydawnictwa AGH, 2017) Adamski, Dominik; Jabłoński, Grzegorz
This paper presents a proposal for a new tool that improves tiling efficiency for a given hardware architecture. This article also describes the correlation between the changing hardware architecture and methods of software optimization. The first chapter includes a short description of the change in hardware architecture that has occurred over the past ten years. The second chapter provides an overview of the tools that will be used in further research. The subsequent sections contain a description of the proposed hardware-aware tool for optimal tiling.
The influence of listener personality on music choices
(Wydawnictwa AGH, 2017) Kleć, Mariusz
To deliver better recommendations, music information systems need to go beyond standard methods for the prediction of musical taste. Tracking the listener’s emotions is one way to improve the quality of recommendations. This can be achieved explicitly by asking the listener to report his/her emotional state or implicitly by tracking the context in which the music is heard. However, the factors that induce particular emotions vary among individuals. This paper presents the initial research on the influence of an individual’s personality on his or her choice of music. The psychological profile of a group of 16 students was determined by a questionnaire. The participants were asked to label their own music collections, listen to the music, and mark their emotions using a custom application. Statistical analysis revealed correlations between low-level audio features, personality types, and the emotional states of the students.
Image acquisition system based on synchronized high-resolution gigabit ethernet cameras
(Wydawnictwa AGH, 2017) Włodarczyk, Michał; Kacperski, Damian; Płuciennik, Tomasz; Grabowski, Kamil
Over the past few years, a huge increase in the number of various computer vision applications can be observed. These are widely used in such areas as video surveillance, medical diagnostics, biometrics recognition, and the automotive and military industries. Most of these solutions take advantage of high-resolution cameras in order to obtain high-quality images. Surprisingly, little attention is paid in the literature to the practical implementation of off- the-shelf image acquisition systems. Most of the available solutions are composed of custom-developed electronic devices that use specialized multi-core DSPs and/or FPGA technology. Therefore, a novel realization of a scalable and comprehensive image acquisition system based on synchronized high-resolution Gigabit Ethernet cameras is presented in this paper. The proposed solution allows for the connection of multiple cameras along with any number of external illumination modules. The selected devices can be synchronized with each other in user-defined configurations. Hence, a designed solution can be easily integrated in both simple and complex applications. The authors describe the design and implementation processes of the proposed platform in detail. The performance issues that can occur in such systems are presented and discussed. The obtained results are encouraging and useful for the development of similar solutions.