Analysis of the Error Propagation Phenomenon in Network Structures

The analysis of error propagation is of fundamental importance to assure safe operation and management of abnormal situations in any distributed information system. In this paper, the quantitative and qualitative methods are proposed to analyze possible error propagation scenarios based on different topologies, error types and probability distributions. The most interesting from our point of view is the course of error propagation in simple structures that are contained in more complex ones. These complex structures, which have attracted the attention of scientists for many decades, are traditionally analyzed with the use of formalisms from graph theory. Certain types of graphs are often used to model naturally occurring complex structures, such as social networks. Graph-theoretic approach proved successful when applied to social networks and other naturally occurring complex networks. The research was verified based on the experiments conducted on simulation model. The results provide some ideas of robustness -- the knowledge how to design the most error resistant architectures in complex environments

Otwartość na dialog międzyreligijny ‒ psychologiczne uwarunkowania i procesy

The aim of this article is to examine psychological antecedents and processes that play a crucial role in building and developing openness to interreligious dialogue. Two factors turn out to determine the ways in which interreligious dialogue is led: personality traits (agreeableness and openness to experience) and religious attitudes (intrinsic religiosity). They create an atmosphere of tolerance, which is especially important in dialogue as it promotes the religious freedom that is a necessary condition for interreligious dialogue. The effectiveness of interreligious dialogue depends on the presence of personal and group factors which all contribute to the final outcome, e.g. genuine autonomy of religious motivation, the ability to differentiate between essential and peripheral elements in religion, or authenticity of religious beliefs connected with commitment. They frequently interact with each other in influencing the final forms of interreligious dialogue.Celem niniejszego artykułu jest określenie psychologicznych uwarunkowań i procesów, które odgrywają kluczową rolę w budowaniu i rozwijaniu otwartości na dialog międzyreligijny. Dwa czynniki decydują o stylu prowadzenia dialogu międzyreligijnego: cechy osobowości (ugodowość i otwartość na doświadczenie) oraz postawy religijne (dojrzała religijność). Formują one atmosferę tolerancji, która jest szczególnie ważna w dialogu, gdyż tworzy wolność religijną, która jest niezbędnym warunkiem dialogu międzyreligijnego. Skuteczność dialogu międzyreligijnego zależy od obecności czynników osobistych i grupowych, które określają jego ostateczny charakter, np. prawdziwa autonomia motywacji religijnej, umiejętność różnicowania zasadniczych i peryferyjnych elementów religii lub autentyczność przekonań religijnych związana z zaangażowaniem. W wielu sytuacjach wymienione czynniki wchodzą we wzajemne interakcje, które wpływają na finalne formy dialogu międzyreligijnego

Navigational Entitlements in the Vistula/Kaliningrad Lagoon in the Light of Comparative Cases. Case study

The thesis provides for information regarding the navigational entitlement in the Vistula Lagoon. To explain the matter, it examines other cases with similar problem. These include 1) the Curonian Lagoon, the Kerch Strait and the Sea of Azov and the Great Lakes. Also, the thesis examines the duty to cooperate of the states bordering the bodies of water with a single-access route. It describes the duty to facilitate the navigation and the passage in the Vistula Lagoon

NOWY ALGORYTM HYBRYDOWY WYKORZYSTUJĄCY AUTOENKODER KONWOLUCYJNY Z SVM DLA ELEKTRYCZNEJ TOMOGRTAFII IMPEDANCYJNEJ I TOMOGRAFII ULTRADŹWIĘKOWEJ

This paper presents a new hybrid algorithm using multiple Support Vector Machines models with convolutional autoencoder to Electrical Impedance Tomography, and Ultrasound Computed Tomography image reconstruction. The ultimate hybrid solution uses multiple SVM models to convert input measurements to individual autoencoder codes representing a given scene then the decoder part of the autoencoder can reconstruct the sceneArtykuł przedstawia nowy hybrydowy algorytm który używa modeli maszyn wektorów nośnych wraz z autoenkoderem konwolucyjnym do rekonstrukcji obrazu z Elektrycznej Tomografii Impedancyjnej oraz Ultrasonograficznej Tomografii Transmisyjnej. Ostateczne rozwiązanie hybrydowe używa wielu modeli SVM do konwersji pomiarów wejściowych do pojedynczych kodów autoenkodera reprezentujących daną scenę a wtedy dekoder wycięty z autoenkodera może zrekonstruować daną scen

Semantic-Oriented Performance Monitoring of Distributed Applications

Monitoring services are an essential component of large-scale computing infrastructures due to providing information which can be used by humans as well as applications to closely follow the progress of computations, to evaluate the performance of ongoing computing, etc. However, the users are usually left alone with performance measurements as to the interpreting and detecting of execution flaws. In this paper we present an approach to the performance monitoring of distributed applications based on semantic information about the monitored objects involved in the application execution. This allows to automate the guidance on what to measure further to come to a source of performance flaws as well to enable reacting on interesting events, e.g. on exceeding SLA parameters. Our research comprises the implementation of a robust system with semantics, which is not biased to an underlying ``physical'' monitoring system, giving the end user the power of intelligent monitoring functionality as well as the independence of the heterogeneity of distributed infrastructures

Comparative analysis of reporting mechanisms based on XML technology

Comparative analysis of reporting mechanisms based on XML technology is presented in the paper. The analysis was carried out as the part of the process of selecting and implementing of reporting mechanisms for a cadastre information system. The reports were designed for two versions of the system, i.e. for the internet system based on PHP technology and the fat client system in two-layer client-server architecture. The reports for the internet system were prepared using XSLT for HTML output and using XML-FO for PDF output and compared with reports implemented using Free PDF library. Each solution was tested by means of the Web Application Stress Tool in order to determine what limits in scalability and efficiency could be observed. As far as the desktop system is concerned three versions of reporting mechanisms based on Crystal Reports, Microsoft Reporting Services and XML technology were accomplished and compared with the mean execution time as the main criterion

INTERACTIVE CLOUD DATA FARMING ENVIRONMENT FOR MILITARY MISSION PLANNING SUPPORT

In a modern globalised world, military and peace keeping forces often face situations which require very subtle and well planned operations taking into account cultural and social aspects of a given region and its population as well as dynamic psychological awareness related to recent events which can have impact on the attitude of the civilians. The goal of the EUSAS project is to develop a prototype of a system enabling mission planning support and training capabilities for soldiers and police forces dealing with asymmetric threat situations, such as crowd control in urban territory. In this paper, we discuss the data-farming infrastructure developed for this project, allowing generation of large amount of data from agent based simulations for further analysis allowing soldier training and evaluation of possible outcomes of different rules of engagement

FiVO/QStorMan Semantic Toolkit for Supporting Data-Intensive Applications in Distributed Environments

In this paper we present a semantic-based approach for supporting data-intensive applications in distributed environments. The approach is characterized by usage of explicit definition of non-functional quality parameters regarding storage systems, semantic descriptions of the available storage infrastructre and monitoring data concering the infrastructure workload and users operation, along with an implementation of the approach in the form of a toolkit called FiVO/QStorMan. In particular, we describe semantic descriptions, which are exploited in the storage resource provisioning process. In addition, the paper describes results of the performed experimental evaluation of the toolkit, which confirm the effectiveness of the proposed approach for the storage resource provisioning

SLA-ORIENTED SEMI-AUTOMATIC MANAGEMENT OF DATA STORAGE AND APPLICATIONS IN DISTRIBUTED ENVIRONMENTS

In this paper we describe a semi-automatic programming framework for supporting userswith managing the deployment of distributed applications along with storing large amountsof data in order to maintain Quality of Service in highly dynamic and distributed environments,e.g., Grid. The Polish national PL-GRID project aims to provide Polish science withboth hardware and software infrastructures which will allow scientists to perform complexsimulations and in-silico experiments on a scale greater than ever before. We highlight theissues and challenges related to data storage strategies that arise at the analysis stage ofuser requirements coming from different areas of science. Next we present a solution to thediscussed issues along with a description of sample usage scenarios. At the end we provideremarks on the current status of the implementation work and some results from the testsperformed