DSpace Community:
http://dspace.wunu.edu.ua/handle/316497/14894
2024-03-29T01:13:00ZПро фазову взаємозалежність і можливість редукції системи функцій Уолша
http://dspace.wunu.edu.ua/handle/316497/30932
Title: Про фазову взаємозалежність і можливість редукції системи функцій Уолша
Authors: Петришин, Любомир
Abstract: Система функцій Уолша є мультиплікативною групою систем функцій Радемахера і Грея. В своєму
складі вміщує дискретно-гармонічні sin-складові функцій Радемахера, cos-складові функцій Грея, а також
дискретно-негармонічні складові функцій Уолша. Встановлено попарну фазову взаємозалежність повної
системи функцій Уолша. Побудовано підсистеми непарних (sin-складових) та парних (cos-складових) функцій
Уолша як базиси теоретико-числових перетворень. Визначено перспективу наступних досліджень
ефективності перетворень цифрової обробки сигналів у запропонованих системах функцій.2013-01-01T00:00:00ZFoundation Fieldbus: From Theory to Practice
http://dspace.wunu.edu.ua/handle/316497/30931
Title: Foundation Fieldbus: From Theory to Practice
Authors: Viegas, Vítor; Dias Pereira, J. M.
Abstract: This paper describes the main characteristics of the Foundation Fieldbus (FF) technology considering both
communication levels, namely H1 and H2, which have bit rates of 31.25 K and 100 Mbit/s, respectively. Several details
about the physical layer, communication stack and user layer will be highlighted. Topics related with the configuration
of instruments, as well as the design and implementation of supervision software, based on a LabVIEW interface, will
be presented. A pilot plant that includes temperature, pressure, level and flow variables will be used to test and validate
the capabilities of FF systems. Experimental results will be analyzed, their meaning discussed and the overall
performance evaluated.2013-01-01T00:00:00ZReasoning Under Uncertainty with Bayesian Belief Networks Enhanced with Rough Sets
http://dspace.wunu.edu.ua/handle/316497/30930
Title: Reasoning Under Uncertainty with Bayesian Belief Networks Enhanced with Rough Sets
Authors: Kornecki, Andrew J.; Wierzchon, Slawomir T.; Zalewski, Janusz
Abstract: The objective of this paper is to present a new approach to reasoning under uncertainty, based on the use of
Bayesian belief networks (BBN’s) enhanced with rough sets. The role of rough sets is to provide additional reasoning to
assist a BBN in the inference process, in cases of missing data or difficulties with assessing the values of related
probabilities. The basic concepts of both theories, BBN’s and rough sets, are briefly introduced, with examples showing
how they have been traditionally used to reason under uncertainty. Two case studies from the authors’ own research
are discussed: one based on the evaluation of software tool quality for use in real-time safety-critical applications, and
another based on assisting the decision maker in taking the right course of action, in real time, in the naval military
exercise. The use of corresponding public domain software packages based on BBN’s and rough sets is outlined, and
their application for real-time reasoning in processes under uncertainty is presented.2013-01-01T00:00:00ZIntegration of BACNET OPC UA-Devices Using a JAVA OPC UA SDK Server with BACNET Open Source Library Implementation
http://dspace.wunu.edu.ua/handle/316497/30929
Title: Integration of BACNET OPC UA-Devices Using a JAVA OPC UA SDK Server with BACNET Open Source Library Implementation
Authors: Anantalapochai, Naksit; Sikora, Axel; Eberlein, David; Kunz, Dominique-Stephan
Abstract: The variety of technologies used in modern Building Automation Systems (BAS) calls for methods to support
interoperability of the devices from different technologies and vendors. OLE for Process Control Unified Architecture
(=OPC UA) provides the possibility to enable secure interoperability of devices with platform independence and
efficient information model features. However, OPC has not found broad space in the world of building automation, yet. In this paper, results and experiences from a project are presented, where BACnet devices are mapped to OPC UA
standard models. The values and controls are presented by the OPC UA server running on an embedded device. In this
paper, we map the BACnet information models into the corresponding OPC UA information models. The actual data
(in OPC UA form) of the BACnet devices can be accessed by connecting an OPC UA Clients to the OPC UA Server.
This objective was be pursued by using as many available open-source projects as possible.2013-01-01T00:00:00Z