This article broaches the sample implementation of the WWW Module for Intelligent Housing system, based on a single-chip, 8-bit microcomputer, which was scope of the master diploma thesis of one of the authors. It des...
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This article broaches the sample implementation of the WWW Module for Intelligent Housing system, based on a single-chip, 8-bit microcomputer, which was scope of the master diploma thesis of one of the authors. It describes both the hardware and software part of the module with special focus on the solution of pseudo-parallel processing of network data, including the way of handling many network connections to the server at the same time. The authors consider the use of embedded interrupt system as a base of a time-division multiplexing (TDM) software layer developed and describe the developed version of minimal TCP/IP stack (so called microstack), with an overview of all protocols implemented. Also the implementation of a simple WWW server with capability to interact with module inputs and outputs is being discussed, as well as the possibility of interaction with other Intelligent Housing modules connected to the Module. The article shows exemplary applications of the mentioned Web Module and delivers information about ways of extending the Web Modulepsilas functionality.
The common approach for the design of an error correction system is first to construct a code and then to define the hardware structure of the encoder and decoder. However, in the case of LDPC codes (low-density parit...
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ISBN:
(纸本)9781424421336
The common approach for the design of an error correction system is first to construct a code and then to define the hardware structure of the encoder and decoder. However, in the case of LDPC codes (low-density parity-check) such a constructed code is generally not well suited for a hardware implementation. It has been recognized that the code construction and hardware design must be considered jointly to facilitate LDPC decoder and encoder implementation. In this paper, an efficient decoder structure for regular and irregular LDPC codes, based on TDMP (turbo-decoding message passing) scheme is designed first. The decoder has been implemented and verified in an FPGA device. Constraints for the parity check matrix of a code to be suitable for the decoder architecture are defined. Then an algorithm for LDPC parity check matrix construction subject to these constraints is presented. The algorithm aims at improving performance of the code in the low SNR region by employing irregular codes as well as in high SNR region by reducing the number of small Stopping Sets and Trapping Sets in the Tanner graph of the code making use of a computer search technique.
Repetitive processes propagate information propagation in two independent directions and are of both systems theoretic and applications *** cannot be controlled by direct extension of existing techniques from either s...
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ISBN:
(纸本)9787900719706
Repetitive processes propagate information propagation in two independent directions and are of both systems theoretic and applications *** cannot be controlled by direct extension of existing techniques from either standard(termed 1D here) or(often) 2D systems *** this paper we propose,motivated by critical features in the dynamics of some examples a model which has non-causal elements and then develop new results on the stability and control of examples which it represents.
作者：
Maciej NiedzwieckiFaculty of Electronics
Telecommunications and Computer Science Department of Automatic Control Gdańsk University of Technology GdaDsk Poland
The problem of extraction/elimination of nonstationary sinusoidal signals from noisy measurements is considered. This problem is usually solved using adaptive notch filtering (ANF) algorithms. It is shown that the acc...
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The problem of extraction/elimination of nonstationary sinusoidal signals from noisy measurements is considered. This problem is usually solved using adaptive notch filtering (ANF) algorithms. It is shown that the accuracy of frequency estimates can be significantly increased if the results obtained from ANF are backward-time filtered by an appropriately designed lowpass filter. The resulting adaptive notch smoothing (ANS) algorithm can be employed to perform many off-line signal processing tasks, such as elimination of sinusoidal interference from a prerecorded signal. In the single sinusoid case, we show that when the unknown signal frequency drifts according to the random-walk model, the optimally tuned ANS algorithm is, under Gaussian assumptions, statistically efficient, i.e., it attains the Cramer-Rao type lower smoothing bound, which limits accuracy of any frequency estimation scheme.
Content-based filters (e.g. Keyword filters, heuristics filters, statistical learning filters, pattern recognition neural networks, and so on) use tokens, which are found during message content analysis, to separate s...
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Content-based filters (e.g. Keyword filters, heuristics filters, statistical learning filters, pattern recognition neural networks, and so on) use tokens, which are found during message content analysis, to separate spam from legitimate messages. The effectiveness of these token-based filters is due to the presence of token signatures (e.g. tokens that are invariant for the many variants of spam messages). In our research, we discovered a new trend of spam messages that have a low frequency of token signatures, thus making them significantly more difficult to identify. Further on, we will describe this new type of spam and also suggest a few modalities to combat the spread of this prototype of the future spam trend.
The problem of rejection of a sinusoidal disturbance of known frequency, acting at the output of a discrete-time complex-valued linear stable plant with unknown dynamics, is considered. It is assumed that output signa...
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The problem of rejection of a sinusoidal disturbance of known frequency, acting at the output of a discrete-time complex-valued linear stable plant with unknown dynamics, is considered. It is assumed that output signal is contaminated with wideband measurement noise. The paper presents convergence and tracking analysis of a new narrow-band disturbance elimination scheme described recently. It is shown that the proposed adaptive feedback regulator converges locally in the mean to the optimal (minimum-variance) regulator. It is also shown that it has very good robustness properties.
The paper presents a new approach to rejection of sinusoidal disturbances acting at the output of a discrete-time linear stable plant with unknown dynamics. It is assumed that frequency of the sinusoidal disturbance i...
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The paper presents a new approach to rejection of sinusoidal disturbances acting at the output of a discrete-time linear stable plant with unknown dynamics. It is assumed that frequency of the sinusoidal disturbance is known, and that the output signal is contaminated with wideband measurement noise. It is not assumed that a reference signal, correlated with the disturbance, is available. The proposed solution combines the coefficient fixing technique, used to ¿robustify¿ self-tuning minimum-variance regulators, with automatic adaptation gain tuning. Simulation experiments confirm that, under Gaussian assumptions, the closed-loop system converges in the mean to the optimal one.
作者：
Zdanowski, M.Opole University of Technology
Faculty of Electrical Engineering Automatic Control and Computer Science Electrical Power Engineering Prószkowska 76 B2 45-748 Opole Poland
The paper presents research results on ECT (Electrostatic Charge Tendency) of cyclohexane and hexane mixtures, that is dielectric liquids of a simple chemical structure and high purity (Pro analysi). The research test...
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ISBN:
(纸本)1424415853
The paper presents research results on ECT (Electrostatic Charge Tendency) of cyclohexane and hexane mixtures, that is dielectric liquids of a simple chemical structure and high purity (Pro analysi). The research tests are carried out in a spinning disk system, where the factors affecting the value of the electrification current registered are a varying composition of the mixture and the rotational speed of the disk. In the next stage physicochemical parameters are measured in order to determine the relationship between the properties of the mixtures under study and the electrification current generated. The research results show that the ECT of the mixture depends, to a large extent, on the proper selection of particular components.
作者：
Wolny, S.Zdanowski, M.Opole University of Technology
Faculty of Electrical Engineering Automatic Control and Computer Science Department of Electrical Power Engineering Prószkowska 76 B2 45-748 Opole Poland
The paper presents the application of the Cole-Cole model for determining the runs of the return voltage of the paper-oil insulation sample through a computer simulation. Different insulation conditions were simulated...
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ISBN:
(纸本)1424415853
The paper presents the application of the Cole-Cole model for determining the runs of the return voltage of the paper-oil insulation sample through a computer simulation. Different insulation conditions were simulated through an adequate selection of parameters α and τ of the Cole-Cole model. For calculation purposes, a series - parallel substitute scheme, obtained through approximation of a discrete characteristic operator impedance Za of the model applied, was used. The diagnostics of the simulated insulation condition was based on the analysis of a few selected parameters of the return voltage, obtained from time characteristics.
This paper proposes a robust algorithm for detecting interest points based on the NonsubSampled Contourlet Transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermo...
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ISBN:
(纸本)9780769534404
This paper proposes a robust algorithm for detecting interest points based on the NonsubSampled Contourlet Transform (NSCT). The NSCT provides multiscale decomposition with directional filters at each scale. Furthermore, NSCT is very efficient in extracting the geometric information of images and therefore it has very good feature localization. The NSCT-based point detector is compared to the widely used Harris and Difference of Gaussian (DoG) interest point detectors. The experimental results reveal the robustness of the proposed algorithm to rotation, scale and viewpoint changes.
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