This paper describes three diierent methods for visualization of vector elds: selective visualization, statistical visualization, and turbulent particles. The rst method enables the user to focus on the interesting parts of a data set by creation, processing, and display of selected parts. The second technique visualizes statistical quantities about a region of interest rather than raw data. Fo...

Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...

A technique is developed to reduce the investigation of Nichols algebras of integrable Uq(g)-modules to the investigation of Nichols algebras of braided vector spaces with diagonal braiding. The results are applied to obtain information on the Gelfan’dKirillov dimension of these Nichols algebras and their defining relations if the braiding is of a special type and q is not a root of unity. For ...

A Geometric programming (GP) is a type of mathematical problem characterized by objective and constraint functions that have a special form. Many methods have been developed to solve large scale engineering design GP problems. In this paper GP technique has been used to solve multi-objective GP problem as a vector optimization problem. The duality theory for lexicographic geometric programming ...

This paper proposes an object recognition and detection method by a combination of Support Vector Machine Classifier (SVM) and Rotation Invariant Phase Only Correlation (RIPOC). SVM is a learning technique that is well founded in statistical learning theory. RIPOC is a position and rotation invariant pattern matching technique. We combined these two techniques to develop an augmented reality sy...

We consider a new approach to approximate stability analysis for tri-additive functional inequality and obtain the optimal approximation permuting tri-derivations tri-homomorphisms in unital matrix algebras via vector-valued alternative fixed-point theorem, which is popular technique of proving equations. also present small list aggregation functions on classical, well-known special investigate...

Our first aim is to clarify the results obtained by Lidskii devoted decomposition on root vector system of non-selfadjoint operator. We use a technique entire function theory and introduce so-called Schatten–von Neumann class convergence exponent. Considering strictly accretive operators satisfying special conditions formulated in terms norm, we construct sequence contours power type that contr...

Coding algorithms seek to minimize the bit rate in the digital representation of a signal without an objectionable loss of signal quality in the process. Speech enhancement means improvement in intelligibility and/or quality of a speech signal. This paper deals with multistage vector quantization technique used for coding of narrow band speech signals. The parameter used for coding of speech si...