Computer Science Journal (AGH University of Science and Technology, Krakow)
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Retrieval and interpretation of textual geolocalized information based on semantic geolocalized relations
Get PDFThis paper describes a method for geolocalized information retrieval from natural language text and its interpretation by assigning them geographic coordinates. A proof-of-concept implementation is discussed, along with geolocalized dictionary stored in PostGIS/PostgreSQL spatial relational database. Discussed research focuses on strongly inflectional Polish language, hence additional complexity had to be taken into account. Presented method has been evaluated with the use of diverse metrics
The MCB code for numerical modeling of Fourth Generation nuclear reactors
Get PDFR&D in the nuclear reactor physics demands state-of-the-art numerical tools that are able to characterize investigated nuclear systems with high accuracy. In this paper, we present the Monte Carlo Continuous Energy Burnup Code (MCB) developed at AGH University’s Department of Nuclear Energy. The code is a versatile numerical tool dedicated to simulations of radiation transport and radiation-induced changes in matter in advanced nuclear systems like Fourth Generation nuclear reactors. We present the general characteristics of the code and its application for modeling of Very-High-Temperature Reactors and Lead-Cooled Fast Rectors. Currently, the code is being implemented on the supercomputers of the Academic Computer Center (CYFRONET) of AGH University and will soon be available to the international scientific community
Usability Engineering in the Prototyping Process of Software User Interfaces for Mobile Medical Ultrasound Devices
Get PDFThis paper presents new trends in interface design of medical ultrasound devices and explains the basics of implementing usability engineering in accordance with international standards. Methods for determining the initial requirements, design guidelines, processes of prototyping, verification, and validation of software user interfaces for medical devices are discussed. The article also presents a preliminary plan of a methodology for prototyping touch-based and standard-control interfaces for mobile ultrasonic devices
Looking for big money in the grey zone. Simulation of High Yield Investment Programs strategies
Get PDFHigh Yield Investment Programs (HYIPs) are online versions of a Ponzi scheme, a fraud that offers extremely high interest rates to attract investors – and pays them up to the moment when HYIP owner decides to run away with the money accumulated in the account. This article presents a simulation focused on the connections between investments in appealing websites, advertising, and runaway strategies to explore and describe one of the grey zone areas. The model is based to a large extent on real-life data acquired from HYIP monitors. In this paper, we have proven that advertising and layout have a great impact on an HYIP’s balance. Moreover, most HYIPs are capable of gaining similar balance; however, there are also conservative strategies that significantly reduce profits
Confronting theoretical predictions with experimental data; fitting strategy for multi-dimensional distributions
Get PDFAfter developing a Resonance Chiral Lagrangian (RχL) model to describe hadronic τ lepton decays [18], the model was confronted with experimental data. This was accomplished using a fitting framework which was developed to take into account the complexity of the model and to ensure the numerical stability for the algorithms used in the fitting. Since the model used in the fit contained 15 parameters and there were only three 1-dimensional distributions available, we could expect multiple local minima or even whole regions of equal potential to appear. Our methods had to thoroughly explore the whole parameter space and ensure, as well as possible, that the result is a global minimum. This paper is focused on the technical aspects of the fitting strategy used. The first approach was based on re-weighting algorithm published in [17] and produced results in around two weeks. Later approach, with improved theoretical model and simple parallelization algorithm based on Inter-Process Communication (IPC) methods of UNIX system, reduced computation time down to 2-3 days. Additional approximations were introduced to the model decreasing time to obtain the preliminary results down to 8 hours. This allowed to better validate the results leading to a more robust analysis published in [12]
Noisy-parallel and comparable corpora filtering methodology for the extraction of bi-lingual equivalent data at sentence level
Get PDFText alignment and text quality are critical to the accuracy of Machine Translation (MT) systems, some NLP tools, and any other text processing tasks requiring bilingual data. This research proposes a language-independent bisentence filtering approach based on Polish (not a position-sensitive language) to English experiments. This cleaning approach was developed on the TED Talks corpus and also initially tested on the Wikipedia comparable corpus, but it can be used for any text domain or language pair. The proposed approach implements various heuristics for sentence comparison. Some of the heuristics leverage synonyms as well as semantic and structural analysis of text as additional information. Minimization of data loss has been ensured. An improvement in MT system scores with text processed using this tool is discussed
Model of reconfiguration in component environments
Get PDFThe significance of the component-based software and component platforms has increased in the last 20 years. To achieve full flexibility there is a need of reconfiguration process, which allows to change parameters of system without rebuilding or restarting it. In terms of components such a process should be executed with extraordinary care as contracts between components have to be preserved. In this article model of reconfiguration and roles of the components, which are used in the process, are proposed. Provided solution is quite general and could be applied to many of component platforms
Application of the Complex Event Processing system for anomaly detection and network monitoring
Get PDFProtection of infrastructures for e-science, including grid environments and NREN facilities, requires the use of novel techniques for anomaly detection and network monitoring. The aim is to raise situational awareness and provide early warning capabilities. The main operational problem that most network operators face is integrating and processing data from multiple sensors and systems placed at critical points of the infrastructure. From a scientific point of view, there is a need for the efficient analysis of large data volumes and automatic reasoning while minimizing detection errors. In this article, we describe two approaches to Complex Event Processing used for network monitoring and anomaly detection and introduce the ongoing SECOR project (Sensor Data Correlation Engine for Attack Detection and Support of Decision Process), supported by examples and test results. The aim is to develop methodology that allows for the construction of next-generation IDS systems with artificial intelligence, capable of performing signature-less intrusion detection
Decision Support System For Search & Rescue Operations
Get PDFSAR (Search and Rescue) operation is a complex process, often carried out in the absence of resources and time. Every single minute matters, as it puts the lost person in more danger. Therefore, it is really crucial to plan and coordinate SAR operation effectively. Because the search area is often very extensive, any leads about where to look first are invaluable. This can be achieved by modelling lost person’s behaviour based on the data from past operations. Generated results present probabilities of finding a subject in different segments of the search area, which might benefit the planning and the execution phases of the operation. The authors evaluate one of the commonly used modelling methods and propose several ways to improve it, together with some preliminary evaluation results and an already implemented system, which incorporates the described methodology
MEASUREMENT OF THE HEAVY-ION COLLISION EVENT CHARACTERISTICS WITH THE ATLAS EXPERIMENT AT THE LHC
Get PDFHeavy-ion collisions at extreme energies can reproduce conditionspresent in the early Universe. The new state of very dense and hotmatter of deconfined quarks and gluons, called the Quark GluonPlasma~(QGP), is observed. This state is characterised by very lowviscosity resembling the properties of a perfect fluid. In suchmedium, the density fluctuations can be easily spread. In experimentalpractice, the size of these fluctuations is estimated by measuring theangular correlation of produced particles. The aim of this paper isto present measurements of the azimuthal anisotropy of chargedparticles produced in heavy-ion collisions using the ATLAS detector atthe LHC. Two measurement techniques are presented and compared