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Wyszukujesz frazę "control of information" wg kryterium: Temat


Wyświetlanie 1-5 z 5
Tytuł:
Modeling and design of role engineering in development of access control for dynamic information systems
Autorzy:
Poniszewska-Marańda, A.
Powiązania:
https://bibliotekanauki.pl/articles/200307.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
access control of information systems
access control models
role engineering
usage control
Opis:
Nowadays, the growth and complexity of functionalities of current information systems, especially dynamic, distributed and heterogeneous information systems, makes the design and creation of such systems a difficult task and at the same time, strategic for businesses. A very important stage of data protection in an information system is the creation of a high level model, independent of the software, satisfying the needs of system protection and security. The process of role engineering, i.e. the identification of roles and setting up in an organization is a complex task. The paper presents the modeling and design stages in the process of role engineering in the aspect of security schema development for information systems, in particular for dynamic, distributed information systems, based on the role concept and the usage concept. Such a schema is created first of all during the design phase of a system. Two actors should cooperate with each other in this creation process, the application developer and the security administrator, to determine the minimal set of user’s roles in agreement with the security constraints that guarantee the global security coherence of the system.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2013, 61, 3; 569-579
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automated Self-trained System of Functional Control and State Detection of Railway Transport Nodes
Autorzy:
Akhmetov, Bakhytzhan
Lakhno, Valeriy
Oralbekova, Ayaulym
Kaskatayev, Zhanat
Mussayeva, Gulmira
Powiązania:
https://bibliotekanauki.pl/articles/227158.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
information intellectual technology of failure detection
functional control
learning matrix
learning algorithm
operator effectiveness criterion
nodes and aggregates
railway transport
Opis:
Automation of data processing of contactless diagnostics (detection) of the technical condition of the majority of nodes and aggregates of railway transport (RWT) minimizes the damage from failures of these systems in operating modes. This becomes possible due to the rapid detection of serious defects at the stage of their origin. Basically, in practice, the control of the technical condition of the nodes and aggregates of the RWT is carried out during scheduled repairs. It is not always possible to identify incipient defects. Consequently, it is not always possible to warn personnel (machinists, repairmen, etc.) of significant damage to the RWT systems until their complete failure. The difficulties of obtaining diagnostic information is that there is interdependence between the main nodes of the RWT. This means that if physical damage occurs at any of the RWT nodes, in other nodes there can also occur malfunctions. As the main way to improve the efficiency of state detection of the nodes and aggregates of RWT, we see the direction of giving the adaptability property for an automated data processing system from various contactless diagnostic information removal systems. The global purpose can be achieved, in particular, through the use of machine learning methods and failure recognition (recognition objects). In order to improve the operational reliability and service life of the main nodes and aggregates of RWT, there are proposed an appropriate model and algorithm of machine learning of the operator control system of nodes and aggregates. It is proposed to use the Shannon normalized entropy measure and the Kullback-Leibler distance information criterion as a criterion of the learning effectiveness of the automated detection system and operator node state control of RWT. The article describes the application of the proposed method on the example of an automatic detection system (ADS) of the state of a traction motor of an electric locomotive. There are given the test data of the model and algorithm in the MATLAB environment.
Źródło:
International Journal of Electronics and Telecommunications; 2019, 65, 3; 491-496
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of IQT on research in ICT
Autorzy:
Bednarski, Bogdan J.
Lepak, Łukasz E.
Łyskawa, Jakub J.
Pieńczuk, Paweł
Rosoł, Maciej
Romaniuk, Ryszard S.
Powiązania:
https://bibliotekanauki.pl/articles/2055259.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
ICT
control theory
IQT
Information Quantum Technologies
Quantum 2.0
applications of IQT
quantum systems
qubit neural networks
quantum time series forecasting;
Quantum Reinforcement Learning
Opis:
This paper is written by a group of Ph.D. students pursuing their work in different areas of ICT, outside the direct area of Information Quantum Technologies IQT. An ambitious task was undertaken to research, by each co-author, a potential practical influence of the current IQT development on their current work. The research of co-authors span the following areas of ICT: CMOS for IQT, QEC, quantum time series forecasting, IQT in biomedicine. The intention of the authors is to show how quickly the quantum techniques can penetrate in the nearest future other, i.e. their own, areas of ICT.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 2; 259--266
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Introducing Advanced Data Analytics in Perspective of Industry 4.0 in a Die Casting Foundry
Autorzy:
Perzyk, M.
Dybowski, B.
Kozłowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/381424.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
application of information technology
foundry industry
mechanical properties
die casting
process control
data analytics
zastosowanie technologii informatycznych
przemysł odlewniczy
właściwości mechaniczne
odlewanie
kontrola procesu
analityka danych
Opis:
The paper presents some aspects of a development project related to Industry 4.0 that was executed at Nemak, a leading manufacturer of the aluminium castings for the automotive industry, in its high pressure die casting foundry in Poland. The developed data analytics system aims at predicting the casting quality basing on the production data. The objective is to use these data for optimizing process parameters to raise the products’ quality as well as to improve the productivity. Characterization of the production data including the recorded process parameters and the role of mechanical properties of the castings as the process outputs is presented. The system incorporates advanced data analytics and computation tools based on the analysis of variance (ANOVA) and applying an MS Excel platform. It enables the foundry engineers and operators finding the most efficient process variables to ensure high mechanical properties of the aluminium engine block castings. The main features of the system are explained and illustrated by appropriate graphs. Chances and threats connected with applications of the data-driven modelling in die casting are discussed.
Źródło:
Archives of Foundry Engineering; 2019, 1; 53-57
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Methodology for Diagnosing the Causes of Die-Casting Defects, Based on Advanced Big Data Modelling
Autorzy:
Okuniewska, A.
Perzyk, M. A.
Kozłowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/2126910.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
foundry industry
die casting
castings defects
process control
data analytics
application of information technology
przemysł odlewniczy
odlewanie ciśnieniowe
wady odlewów
kontrola procesu
analiza danych
zastosowanie technologii informatycznych
Opis:
The purpose of this paper was to develop a methodology for diagnosing the causes of die-casting defects based on advanced modelling, to correctly diagnose and identify process parameters that have a significant impact on product defect generation, optimize the process parameters and rise the products’ quality, thereby improving the manufacturing process efficiency. The industrial data used for modelling came from foundry being a leading manufacturer of the high-pressure die-casting production process of aluminum cylinder blocks for the world's leading automotive brands. The paper presents some aspects related to data analytics in the era of Industry 4.0. and Smart Factory concepts. The methodology includes computation tools for advanced data analysis and modelling, such as ANOVA (analysis of variance), ANN (artificial neural networks) both applied on the Statistica platform, then gradient and evolutionary optimization methods applied in MS Excel program’s Solver add-in. The main features of the presented methodology are explained and presented in tables and illustrated with appropriate graphs. All opportunities and risks of implementing data-driven modelling systems in high-pressure die-casting processes have been considered.
Źródło:
Archives of Foundry Engineering; 2021, 21, 4; 103--109
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-5 z 5

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