A GPU-based method of multi-volume rendering is described. the analytic results are supported by simulations of volume rendering on a number of scenes with function-based surfaces. our method supports a large number of volumes, complex translucent functional objects as well as constructive solid geometry intersections of volumes and function-based surfaces.
This work considers the issue of optimizing the water discharge monitoring network in order to increase the accuracy of computing a river water balance, thereby optimizing the water use within such water basin based on the sustainable development and river basin integrated management principles. The authors hereof have developed the multi-criteria method for ranking the river water discharge monitoring stations; such method is to be applied to determine the priorities of their location, under the limited funding conditions, based on a systemic analysis of the water (water management) balance components with due regard to the river network topology and the specifics of water use within such network. The method offered herein differs from the existing methods inasmuch as it discriminates between the phase of the evaluation of the weight of the ranking criteria and the phases of data processing related to the potential water flow gauging stations according to such criteria, thus ensuring complete automation of such data processing and high speed and efficiency of such method. The functionability of the method has been demonstrated in practice. The method is an omni-purpose tool applicable also for optimization of other types of monitoring networks.
The work improves the indirect measurement of the parameters of inhomogeneous natural media by a multispectral method and using fuzzy logic. To solve the inverse problem of indirect measurement of damage parameters, fuzzy logic and MATLAB software were used. The proposed approach ensures the completeness of the relational fuzzy knowledge base and allows reducing the tuning time of the fuzzy model due to the reduced representation of the IF-THAT rules in the form of matrices of fuzzy relationships.
In the paper the SPICE model of functionally dependent voltage and current sources is proposed, which is used in the process of schematic simulation of impedance signal converters. This simulation allows analyzing the signal conversion parameters, functional analysis of circuit decisions, optimization of operating modes, etc. The results of model research give an opportunity to calculate the influence of interferences of harmonic signals of activating sources used in signal converters of impedance
In this paper, the results of the development and modeling measurement of impedance converters are presented. The main nodes, the parameters of which are decisive in terms of operation accuracy of the impedance measuring converters, are quadrature synchronous detectors and integrators of the detected signal.
There are a number of problems in the manufacture of precision instruments related to the accuracy of the size of details, which affects the quality of the product. Therefore, it is necessary to take into account those distortions of the geometry of the element of details, which are machining, for example, on CNC machines. At work the main possible variants of deviation from geometric sizes, which lead to loss of accuracy of the detail are considered
A scheme of an immittance modulo-2 adder (XOR logical gate) and its mathematical model are developed and described in the paper. Influence of destabilizing factors: instability of the transmission line wave resistance, Q-factor of the input impedance resistances and frequency instability of the reference oscillator on characteristics of the immittance modulo-2 adder is considered.
Cu6PS5I-based thin films were deposited onto silicate glass substrates by magnetron sputtering. Chemical composition of the thin films was determined by energy-dispersive X-ray spectroscopy. With increasing Cu content, a red shift of the exponential absorption edge energy position as well as a decrease of the Urbach energy are observed. Optical transmission spectra of Cu8.05P0.68S3.54I0.73 thin film were investigated in the temperature interval 77–300 K; the temperature behaviour of the optical absorption spectra and the refractive index dispersion was studied. Temperature dependences of the energy position of the absorption edge, the Urbach energy, and the refractive index of the Cu8.05P0.68S3.54I0.73 thin film were analysed. The influence of structural disorder on the optical properties of the Cu6PS5Ibased thin films is discussed.
The paper discusses questions of human auditory state evaluation with technical means. It considers the disadvantages of existing clinical audiometry methods and systems. It is proposed to use method for evaluating of auditory analyzer state by means of pulsometry to get the medical study more objective and efficient. It provides for use of two optoelectronic sensors located on the carotid artery and ear lobe, Using this method the biotechnical system for evaluation and stimulation of human auditory analyzer stare wad developed. Its hardware and software were substantiated. Different modes of simulation in the designed system were tested and the influence of the procedure on a patient was studied.
This paper is devoted to describing the basic principles of operation, modeling and possibilities of application of high voltage glow discharge electron guns for realising of different technological operations in the different branches industry. Both diode and triode electrodes systems and particularities of its’ simulation are considered and examples of realizing different technological operations are given.
The paper presents a method of parallel-hierarchical transformations for rapid recognition of dynamic images using GPU technology. Direct parallel-hierarchical transformations based on cluster CPU-and GPU-oriented hardware platform. Mathematic models of training of the parallel hierarchical (PH) network for the transformation are developed, as well as a training method of the PH network for recognition of dynamic images. This research is most topical for problems on organizing high-performance computations of super large arrays of information designed to implement multi-stage sensing and processing as well as compaction and recognition of data in the informational structures and computer devices. This method has such advantages as high performance through the use of recent advances in parallelization, possibility to work with images of ultra dimension, ease of scaling in case of changing the number of nodes in the cluster, auto scan of local network to detect compute nodes.
In this paper a method for solving stereo matching problem is presented. It is based on minimization of some energy functional by coarse-to-fine methods with using Habor filters. The solution such task, where presents of occlusions, weakly or periodic textured regions provides some ambiguity for optimization process, using coarse-to-fine method speed up matching process and reduces ambiguity. However due to using low-frequency filtration in coarse-to-fine method blurring of disparity function is appeared exceptionally near objects boundaries. To reduce this luck proposed method based on spatial Habor filtration is used.
The paper presents a method of noise reduction in CT images by the curvelet transform. Noise affects the ability to visualize pathologic qualities and the living tissues structure in CT. Noise in CT images depends on the amount of discrete x-ray photons reaching the detector. In the CT images, noise is responsible for visibility reduction the low contrast areas and objects. Noisy picture may not be properly interpreted by a physician, especially for the case of detection of pathological changes in tissues. The tests were performed with the Shepp-Logan test image with additive Gaussian noise.
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