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Distributed sensor networks for environmental monitoring and assessment, mathematical modeling of air pollutants, heterogeneous computer networks security, statistical methods for time series analysis and nonlinear modelling.
The problem of air pollution with fine particulate matter and aerosols is more than topical and extremely serious. There is a need to develop and build reliable geographically distributed air quality monitoring networks to enable real-time data collection. The analysis of such data would help identify the origin of the particles and timely operatio...
Modern approach to manage the control network in an easy and reliable manner is to separate it into clusters. In this paper the opportunities for realization of a low cost Ethernet Fault Tolerant architecture for management of network resources are discussed. It is designed and implemented on the basis of the Purdue Model for Control Hierarchy and...
The purpose of this paper is to discuss the opportunities for student training in control and modeling of technological plants using distributed control system with integrated data base. The initial configuration of the system comprises one programmable controller MIC 5000 Ce, two NETMASTER and server INTEL SR 2500. The latter contains the integrat...
The main objective of this paper is to investigate the diversity of blade and modular servers, produced by main world manufacturers, like HP, IBM, Sun, Dell, Intel. Another objective is to present general criteria for the comparison of server platforms, called Total Cost of Ownership.
The main objective of this paper is to consider the synthesis of Internet-based distributed control systems. For the purpose the main problems-time delays, timeout request, jitter and their sources and characteristics are considered, modelled and assessed. A methodology for design of robust controller is proposed. It is based on the internal-model...
The main goal of the Project is to design and build a distributed system for collecting and analyzing data from measurements of indoor air quality and living environment indicators with the application of low-cost sensors and open source software.