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Journal of Telecommunications and Information Technology
2008 nr 4 32-39
EN A method of failure detection in telecommunication networks is presented. This is a meta-method that correlates alarms raised by failure-detection modules based on various philosophies. The correlation takes into account two main characteristics of each module and the whole metamethod: the percentag[...]
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Journal of Theoretical and Applied Computer Science
EN This work presents a constructive method to train the multilayer perceptron layer after layer successively and to accomplish the kernel used in the support vector machine. Data in different classes will be trained to map to distant points in each layer. This will ease the mapping of the next layer. [...]
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Theoretical and Applied Informatics
PL Związek pomiedzy maszynami wektorów podpierajacych i systemami neuronoworozmytymi jest bardzo interesujący. Została wykazana pełna odpowiedniość między tymi systemami dla klasyfikacji i częściowa dla regresji. Odpowiedność ta ma bardzo ważną konsekwencję. Jest podstawa do opracowania nowego sposobu [...]
EN The correspondence between support vector machines and neuro-fuzzy systems is very interesting. The full equivalence for classification and partial for regression has been formally shown. The equivalence has very interesting implication. It is a base for a new method of initialization of neurofuzzy [...]
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Studia Informatica
2013 Vol. 34, nr 2B 303--310
PL W niniejszym artykule opisano automatyczną klasyfikację komponentów elektronicznych, która pozwala m.in. na ocenę jakości produktu. Klasyfikację tę przeprowadzono przy użyciu maszyny wektorów wspierających (ang. support vector machine, SVM). Dzięki zastosowanemu klasyfikatorowi uzyskano 80% dokładno[...]
EN In this paper, we present a classification of electronic components in the electronic factory. This classification provides relevant information for correcting the manufacturing process, thereby enhancing the production fields and the quality of product. Our classification system based on the suppor[...]
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Studia Informatica : systems and information technology
2006 Vol. 1(7) 233--244
EN This paper addresses the problem of data sharing among multiple parties in the following scenario: without disclosing their private data to each other, multiple parties, each having a private data set, want to collaboratively construct support vector machines using a linear, polynomial or sigmoid ke[...]
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Optica Applicata
2014 Vol. 44, nr 2 285--298
EN Support vector machine and artificial neural network are widely used in classification applications. Extreme learning machine (ELM) is a novel and efficient learning algorithm based on the generalized single hidden layer feed forward networks, which performs well in classification applications. The [...]
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Machine Graphics and Vision
EN We examine the problem of discriminating between objects of more than two classes using "minimum information". Discrete Cosine Transforms (DCT) represents a computationally simple and efficient method that preserves the structure of the data without introducing significant distortion. In this paper,[...]
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Control and Cybernetics
EN A new linear Support Vector Machine algorithm and solver are presented. The algorithm is in a twofold way well-suited for problems with a large number of training examples. First, unlike many optimization algorithms, it does not simultaneously keep all the examples in RAM and thus does not exhaust t[...]
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Metrology and Measurement Systems
2015 Vol. 22, nr 3 383--392
EN This paper proposes a soft sensing method of least squares support vector machine (LS-SVM) using temperature time series for gas flow measurements. A heater unit has been installed on the external wall of a pipeline to generate heat pulses. Dynamic temperature signals have been collected upstream of[...]
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Metrology and Measurement Systems
2015 Vol. 22, nr 2 205--220
EN Power electronic circuits (PECs) are prone to various failures, whose classification is of paramount importance. This paper presents a data-driven based fault diagnosis technique, which employs a support vector data description (SVDD) method to perform fault classification of PECs. In the presented [...]
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Metrology and Measurement Systems
2015 Vol. 22, nr 2 303--314
EN This paper presents the design process and the results of a novel fall detector designed and constructed at the Faculty of Electronics, Military University of Technology. High sensitivity and low false alarm rates were achieved by using four independent sensors of varying physical quantities and sop[...]
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Physicochemical Problems of Mineral Processing
EN The present study aims to apply a least squares support vector model (LS–SVM) for predicting cleaning efficiency of an electromagnetic filtration process, also called quality factor, in order to remove corrosion particles (rust) of low concentrations from water media. For this purpose, three statist[...]
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Foundations of Computing and Decision Sciences
EN Bound-constrained Support Vector Machine(SVM) is one of the stateof- art model for binary classification. The decomposition method is currently one of the major methods for training SVMs, especially when the nonlinear kernel is used. In this paper, we proposed two new decomposition algorithms for tr[...]
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Measurement Automation Monitoring
EN : The aim of this study was to create a two-class brain-computer interface. As in the case of research on SSVEP stimuli flashing at different frequencies were presented to four subjects. Optimal SSVEP recognition results can be obtained from electrodes: O1, O2 and Oz. In this work SVM classifier wi[...]
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Image Processing & Communications
EN As a fundamental task in many applications, human face detection is one of the most active research field at present. Most of the research works are confined to visual light image. The potential for illumination invariant feature of the Infrared image has received little attention. The SARS epidemic[...]
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Metrology and Measurement Systems
EN In this paper, the application of the SVM (Support Vector Machine) algorithm has been used for diagnosis and tests of analog electronic circuits. The diagnosis procedure belongs to simulation-before-test techniques, where simulations of the circuit under test (CUT) are performed at the before-test s[...]
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Bio-Algorithms and Med-Systems
EN Predicting the three-dimensional (3D) structure of a protein is a key problem in molecular biology. It is also an interesting issue for statistical methods recognition. There are many approaches to this problem considering discriminative and generative classifiers. In this paper a classifier combini[...]
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Opto - Electronics Review
EN Fusion of multiple biometrics for human authentication performance improvement has received considerable attention. This paper presents a novel multimodal biometric authentication method integrating face and iris based on score level fusion. For score level fusion, support vector machine (SVM) based[...]
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Nukleonika
EN Two parameters, regularization parameter c, which determines the trade off cost between minimizing the training error and minimizing the complexity of the model and parameter sigma (σ) of the kernel function which defines the non-linear mapping from the input space to some high-dimensional feature s[...]
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Optica Applicata
EN To improve the recognition rate in different conditions, a multiscale face recognition method based on nonsubsampled contourlet transform and support vector machine is proposed in this paper. Firstly, all face images are decomposed by using nonsubsampled contourlet transform. The contourlet coeffici[...]
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