Computer Science
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ISSN 1508-2806
e-ISSN: 2300-7036
Issue Date
2014
Volume
Vol. 15
Number
No. 4
Description
Reviewed by: Christopher Roderick, Marian Babik, Pedro dos Santos Teixeira, Luca Magnoni, Tomasz Arodz, Manuj Darbari, Júlio Nievola, Milton Ramos, Andre Pinz Borges, Emmanuel Adam, Jiuchuan Jiang, Klaus-Dieter Althoff, Tufan Kumbasar, Włodzimierz Funika, Manuj Darbari, Jacek Kitowski
Journal Volume
Computer Science
Vol. 15 (2014)
Projects
Pages
Articles
Complex Event Processing approach to automated monitoring of a particle accelerator and its control system
(Wydawnictwa AGH, 2014) Grzegorczyk, Karol; Baggiolini, Vito; Zieliński, Krzysztof
This article presents the design and implementation of a software component for automated monitoring and diagnostic information analysis of a particle accelerator and its control system. The information that is analyzed can be seen as streams of events. A Complex Event Processing (CEP) approach to event processing was selected. The main advantage of this approach is the ability to continuously query data coming from several streams. The presented software component is based on Esper, the most popular open-source implementation of CEP. As a test bed, the control system of the accelerator complex located at CERN, the European Organization for Nuclear Research, was chosen. The complex includes the Large Hadron Collider, the world’s most powerful accelerator. The main contribution to knowledge is by showing that the CEP approach can successfully address many of the challenges associated with automated monitoring of the accelerator and its control system that were previously unsolved. Test results, performance analysis, and a proposal for further works are also presented.
The cryptanalysis of the Enigma cipher - the plugboard and the cryptologic bomb
(Wydawnictwa AGH, 2014) Borowska, Anna; Rzeszutko, Elżbieta
We study the problem of decoding secret messages encrypted by the German Army with the M3 Enigma machine after September 15, 1938. We focused our attention on the algorithmization and programming of this problem. A completion and optimization of Zygalski’s sheets method were presented previously. We describe below the missing algorithm solving the problem of the plugboard settings with an algebraic justification. This method is the original idea of the authors, and we can use it for cryptanalysis together with both Zygalski’s sheets method and Rejewski’s bomb method. Next, we present a reconstruction of the cryptologic bomb. We enclose an implementation of both algorithms in Cpp language.
Agent-based data integration framework
(Wydawnictwa AGH, 2014) Faber, Łukasz
Combining data from diverse, heterogeneous sources while facilitating a unified access to it is an important (albeit difficult) task. There are various possibilities of performing it. In this publication, we propose and describe an agent-based framework dedicated to acquiring and processing distributed, heterogeneous data collected from diverse sources (e.g., the Internet, external software, relational, and document databases). Using this multi-agent-based approach in the aspects of the general architecture (the organization and management of the framework), we create a proof-of-concept implementation. The approach is presented using a sample scenario in which the system is used to search for personal and professional profiles of scientists.
Agents modeling experience applied to control of semi-continuous production process
(Wydawnictwa AGH, 2014) Rojek, Gabriel
The lack of proper analytical models of some production processes prevents us from obtaining proper values of process parameters by simply computing optimal values. Possible solutions of control problems in such areas of industrial processes can be found using certain methods from the domain of artificial intelligence: neural networks, fuzzy logic, expert systems, or evolutionary algorithms. Presented in this work, a solution to such a control problem is an alternative approach that combines control of the industrial process with learning based on production results. By formulating the main assumptions of the proposed methodology, decision processes of a human operator using his experience are taken into consideration. The researched model of using and gathering experience of human beings is designed with the contribution of agent technology. The presented solution of the control problem coincides with case-based reasoning (CBR) methodology.
Comparison of incomplete data handling techniques for neuro-fuzzy systems
(Wydawnictwa AGH, 2014) Sikora, Marcin; Simiński Krzysztof
Real-life data sets sometimes miss some values. The incomplete data needs specialized algorithms or preprocessing that allows the use of the algorithms for complete data. The paper presents a comparison of various techniques for handling incomplete data in the neuro-fuzzy system ANNBFIS. The crucial procedure in the creation of a fuzzy model for the neuro-fuzzy system is the partition of the input domain. The most popular approach (also used in the ANNBFIS) is clustering. The analyzed approaches for clustering incomplete data are: preprocessing (marginalization and imputation) and specialized clustering algorithms (PDS, IFCM, OCS, NPS). The objective of our research is the comparison of the preprocessing techniques and specialized clustering algorithms to find the the most-advantageous technique for handling incomplete data with a neuro-fuzzy system. This approach is also the indirect validation of clustering.