In this paper a nonlinear MISO model is built up as a combination of a pre-specified dynamical term and an unknown static nonlinear component, where the nonlinear subsystem is realized by a region-wise base point driv...
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In this paper a nonlinear MISO model is built up as a combination of a pre-specified dynamical term and an unknown static nonlinear component, where the nonlinear subsystem is realized by a region-wise base point driven interpolation. A model using noisy observations (errors-in-variables) is considered. The paper presents the identification algorithm of this model and shows the application of the elaborated method for load forecasting.
The expansion of the World Wide Web (Web for short) has resulted in a large amount of data that is now in general freely available for user access. The different types of data have to be managed and organized in such ...
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The expansion of the World Wide Web (Web for short) has resulted in a large amount of data that is now in general freely available for user access. The different types of data have to be managed and organized in such a way that they can be accessed by different users efficiently. Therefore, the application of data mining techniques on the Web is now the focus of an increasing number of researchers. Clustering is one of the various type of methods that can be applied on Web data in order to provide more dynamic and user friendly Web-based service. Because the amount of data stored in such Web systems is great in this case the data mining aspects of clustering should be used. This paper deals with the different aspects of Web data mining and provides an overview about the various techniques used in this field.
The paper presents the interim results of our research on the developing methodological procedure which could be used for assessment of a thermal stability of buildings with regards to its thermal accumulative paramet...
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An increasing number of applications require the integration of data from various disciplines, which leads to problems with the fusion of multi-source information. In this paper, a special information structure formal...
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Sequential pattern mining is a heavily researched area in the field of data mining with wide variety of applications. The task of discovering frequent sequences is challenging, because the algorithm needs to process a...
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Sequential pattern mining is a heavily researched area in the field of data mining with wide variety of applications. The task of discovering frequent sequences is challenging, because the algorithm needs to process a combinatorially explosive number of possible sequences. Most of the methods dealing with the sequential pattern mining problem are based on the approach of the traditional task of itemset mining, because the former can be interpreted as the generalization of the latter. Several algorithms use a level-wise "candidate generate and test" approach, while others use projected databases to discover the frequent sequences. In this paper a classification of the well-known sequence mining algorithm is presented. Because each algorithm has its own advantages and drawbacks regarding the execution time and the memory requirements, and the exact aim of the algorithms differs as well, thus an exact ranking of the methods is omitted. A basic level-wise algorithm, the GSP is described in detail. Because the level-wise algorithms need less memory in general than the projection-based ones, ah efficient implementation of the GSP algorithm is also suggested. Two novel methods, the Bitmap-based GSP (BGSP) and the SM-Tree (State Machine-Tree) algorithms are presented as an enhancement of the GSP-based sequential pattern mining approach.
The paper is devoted for a systematic discussion on the subspace based identification methods. The structure of the noise components acting additively at various system signals is considered as the guiding principle f...
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The paper is devoted for a systematic discussion on the subspace based identification methods. The structure of the noise components acting additively at various system signals is considered as the guiding principle for the analysis of the estimation algorithms. It is shown that replacing the state space approach typically applied in this field by a discrete time transfer function system realization the highly involved machinery of the subspace algorithms can be handled in a clearly ordered framework exhibited by a set of over-determined equations to be solved.
This paper deals with direction of sound wave arrival determination using time-delay estimation and beamforming methods with utilization of static microphone array with fixed geometry configuration. Theoretical part d...
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This paper deals with direction of sound wave arrival determination using time-delay estimation and beamforming methods with utilization of static microphone array with fixed geometry configuration. Theoretical part describes main principle of both methods and possibility of program implementation. Experimental part proposes hardware design of the sensory systems separately for time-delay estimation and beamforming evaluation methods due to different requirements on microphone array structure. Developed localization system is based on standard personal computer equipped with Advantech PCI-1716 multichannel data acquisition device.
Paper deals with design and implementation of portable data acquisition unit based on 8-bit microcontroller Freescale 68HC908GP32 in process control and supervision applications. Its hardware design is adopted to fulf...
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Paper deals with design and implementation of portable data acquisition unit based on 8-bit microcontroller Freescale 68HC908GP32 in process control and supervision applications. Its hardware design is adopted to fulfill high reliability and immunity against industrial environment, high precision and compact dimensions. Communication with supervision system is performed via standard RS232 interface utilizing universal ASCII-based communication protocol which is supported by number of software environments. In order to improve development of new software applications with this device a support program libraries for Visual C++, control Web and Matlab/Simulink was created. Correct function of the data acquisition device and support software libraries were tested on educational model of heating plant with time delay in Matlab 6.5 and control Web environments.
This contribution aims a revision and extension of the ring of retarded quasipolynomial meromorphic functions (RMS) for description and control of time-delay systems (TDS). The original definition has some significant...
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This contribution aims a revision and extension of the ring of retarded quasipolynomial meromorphic functions (RMS) for description and control of time-delay systems (TDS). The original definition has some significant drawbacks - especially, it does not constitute a ring. Our new definition extends the usability to neutral TDS and to those with distributed delays. As first, basic algebraic notions useful for this paper are introduced. A concise overview of algebraic methods for TDS follows. The original and the revised definitions of the ring together with some its properties finish the contribution. There are many illustrative examples that explain introduced terms and findings throughout the paper.
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