Computer Science
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ISSN 1508-2806
e-ISSN: 2300-7036
Issue Date
2018
Volume
Vol. 19
Number
No. 2
Description
Reviewed by: Piotr Bala, Sebastian Polak, Boguslaw Cyganek, Uriel Haile Hernandez Belmonte, Aleksander Mendyk, Dorota Studzinska, Leonid Stoimenov, Tamas Kozsik, Adam Barwell, Carlos Cotta, Ladislav Hluchy, Jerzy Proficz, Damian Fernandez
Journal Volume
Computer Science
Vol. 19 (2018)
Projects
Pages
Articles
Hand posture recognition using modified Ensemble of Shape Functions and Global Radius-based Surface Descriptor
(Wydawnictwa AGH, 2018) Warchoł, Dawid
This paper presents an approach to the recognition of static hand gestures based on data acquired from 3D cameras and point cloud descriptors: Ensemble of Shape Functions and Global Radius-based Surface Descriptor. We describe a recognition algorithm consisting of hand segmentation, noise removal and downsampling of point clouds, dividing point cloud bounding boxes to cells, feature extraction and normalization, and gesture classification. Modifications to the descriptors are proposed in order to increase the hand posture recognition rates while decreasing the quantity of used features as well as the computational cost of the algorithm. Experiments performed on four challenging datasets using cross-validation tests prove the usefulness of our approach.
Analysis of distributed systems dynamics with Erlang Performance Lab
(Wydawnictwa AGH, 2018) Ślaski, Michał; Turek, Wojciech; Gil, Arkadiusz; Szafran, Bartosz; Paciorek, Mateusz; Byrski, Aleksander
Modern, highly concurrent, and large-scale systems require new methods for design, testing, and monitoring. Their dynamics and scale require real-time tools that provide a holistic view of the whole system and the ability to show a more detailed view when needed. Such tools can help identify the causes of unwanted states, which is hardly possible with a static analysis or metrics-based approach. In this paper, a new tool for the analysis of distributed systems in Erlang is presented. It provides the real-time monitoring of system dynamics on diferent levels of abstraction. The tool has been used for analyzing a large-scale urban trafic simulation system running on a cluster of 20 computing nodes.
Misfit landforms imposed by ill-conditioned inverse parametric problems
(Wydawnictwa AGH, 2018) Łoś, Marcin Mateusz; Smołka, Maciej; Schaefer, Robert; Sawicki, Jakub
In this paper, we put forward a new topological taxonomy that allows us to distinguish and separate multiple solutions to ill-conditioned parametric inverse problems appearing in engineering, geophysics, medicine, etc. This taxonomy distinguishes the areas of insensitivity to parameters called the landforms of the misfit landscape, be it around minima (lowlands), maxima (uplands), or stationary points (shelves). We have proven their important separability and completeness conditions. In particular, lowlands, uplands, and shelves are pairwise disjoint, and there are no other subsets of the positive measure in the admissible domain on which the misfit function takes a constant value. The topological taxonomy is related to the second, »local« one, which characterizes the types of ill-conditioning of the particular solutions. We hope that the proposed results will be helpful for a better and more precise formulation of ill-conditioned inverse problems and for selecting and profiling complex optimization strategies used in solving these problems.
Semantic-enabled hybrid genetic disease diagnostics in Next-Generation Sequenced data
(Wydawnictwa AGH, 2018) Zawadzka-Gosk, Emilia; Wołk, Krzysztof
Next Generation Sequencing is a technology for genome sequencing used in genetics for the diagnosis of disease. NGS provides a list of all mutations in a genome, so identifying the one that causes a disease is not trivial. A number of applications for variant prioritization were developed, but the data they provide is a suggestion rather than a diagnosis, moreover, they sufer from issues such as identifying a nonpathogenic variant as a causal one or the inability to identify a causal gene. These issues inspired us to create a strategy for variant prioritization, which includes the use of the Exomiser and OMIM Explorer result sets improved by semantic analysis of abstracts and articles freely available from the PubMed and PubMed Central databases. For the wider scope of scientific articles, the Google Scholar repository will be used. The described approach enables us to present the latest and most accurate information about potential pathogenic variants.
Towards transparent data access with context awareness
(Wydawnictwa AGH, 2018) Wrzeszcz, Michał; Słota, Renata; Kitowski, Jacek
Open-data research is an important factor accelerating the production and analysis of scientific results as well as worldwide collaboration, still, very little data is being shared at scale. The aim of this article is to analyze existing data-access solutions along with their usage limitations. After analyzing the existing solutions and data-access stakeholder needs, the authors propose their own vision of a data-access model.