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The implementation of any project requires not only the development of project documents: the criteria for the project success, WBS-structure, the Matrix of Responsibilities, the budget, the Gantt diagram, etc., but also an integrated understanding of all these documents by all participants in the project process: stakeholders, project manager and movable context. As practice shows, this integrated...
In view of textual remote sensing image classification, a classification approach based on Extreme Learning Machine (ELM) in introduced. As the performance of ELM is mainly affected by the value of input weights and hidden biases genetic algorithm (GA) and particle swarm optimization algorithm (PSO) have been used to learn these parameters for ELM in order to improve the stability of extreme learning...
Mathematical modelling of the salt movement process under filtration salt transfer considering infiltration process in unsaturated-non-saturated layered soil has been carried out. The solution of this problem was received with a finite difference method. As a result of program implementation of the problem, numerical experiments have been performed and an analysis of the results has been done.
The paper is devoted to development of the computer-based specialized processing the meteorological data in order to analyze and visualize changes in local climate dynamics. In particular, we focus on local seasonal temperature evolution. The peculiarity of the discussed viewpoint is connected with the attempt to take into account variability of seasonal temperature compositions in correlation with...
Software for simulation of large networks of coupled non-linear oscillators in clusters, grids and clouds using graphical processing units (GPU) was designed, developed, tested and applied for scientific simulations. The software provides easy integration of new oscillators' models support, dynamic load distribution between hosts' central processing units (CPU) and several GPU devices. Different GPU...
The DCT is widely used in compression algorithms and image decompression. Perhaps decline their resource consumption by optimizing DCT. In article descried optimization by means of decomposition the DCT matrix (dimension n = 4, 8 and 16) into dolled up multipliers especially for minimization multiplication. Moreover, it is will allow lower cost for storage matrix in memory. Obtained by decomposition...
The paper presents and discusses a novel method for reconstructing of surface topology from only one white light interferogram picture. The main idea of the proposed method is reversal of an interferometry channel transform function and applying computationally simple methods of polynomial approximation for single segments of the white light interferogram. The polynomial coefficients are computed...
The influence of ultrasonic radiation in the cavitation regime on the properties of wood activated carbon has been studied. The impedance dependence for the supercapacitors made both of the original and the modified carbon have been analysed. The equivalent electrical circuits modelling the impedance hodographs have been constructed. It has been shown that ultrasonic radiation changes the properties...
In this paper the boundary value problem for heat conduction of an isotropic piecewise homogeneous plate with a through foreign inclusions, heated by a heat flow concentrated at one of its boundary surfaces is considered. Coefficient of thermal conductivity for the system as a whole is described by asymmetric unit functions. The result is a heat conduction equation with discontinuous and singular...
With increased work load and unsuitable work shifts to survive in the fast paced world of today, people tend to lose sleep. Irregular sleep patterns and lack of sleep leads to drowsiness and fatigue. Drowsiness is perilous for the driver himself and for other drivers on the road and must be avoided for example by noise alerts in the car. This paper describes a method to detect drowsiness after implementing...
The development of a deep (stacked) convolutional auto-encoder in the Caffe deep learning framework is presented in this paper. We describe simple principles which we used to create this model in Caffe. The proposed model of convolutional auto-encoder does not have pooling/unpooling layers yet. The results of our experimental research show comparable accuracy of dimensionality reduction in comparison...
Nowadays there is a big interest in applying natural gesture communication language to various systems. There are several techniques on how to detect willed hand motion or recognize gestures by using different kind of sensors. RGB cameras can be used to detect hand, but it has a limited application. For example, hand detection can be particularly hard in some lighting conditions or in different skin...
A new method of constructing nonparametric dynamic model of the human oculomotor system on the basis of experimental data “input-output” is developed, considering nonlinear and inertial properties of the rectus muscles of the eye. A technology for tracking eye movement is based on the videos. It is possible to determine the dynamic characteristics of the oculomotor system functions as a transition...
A good management of consumption by reactive power control reveals economical aspects. The current European scheme is intended to encourage consumers to minimize reactive power consumption. Energy providers usually request additional costs for business customers who have a power factor lower than a certain limit. Engineers have a lot of interest in the power factor of a load as one of the factors...
Grey Wolf Optimizer (GWO) is a new meta-heuristic optimization. It is inspired by the unique predator strategy and organization system of grey wolves. Since the GWO algorithm is easy to fall into local optimum especially when it is used in the high-dimensional data, an improved GWO algorithm combined with Cuckoo Search (CS) is proposed in this paper. By introducing the global-search ability of CS...
In order to expand the class of control objects that require executing the complex regulation law, the author proposes a new method of organizing computing activities on the basis of the principle of non-use of the half-adder, the method implies the formation of all the digits of the result during one cycle of machine time. Mathematical models, which organize computations of methodically maximum speed,...
The paper presents the system architecture, development and prototype implementation of a new integrated system for simulation of automated industrial processes using advanced technologies, in accordance with CPS/Industry 4.0 principles. The need to develop such a system is underscored by the interest of the educational stakeholders: students, faculty members, high-level industry partners, for an...
In the course of the scheduling of a project we always have to face uncertainties in the planned durations of the individual activities. The most frequently used method to handle this situation, is PERT. But PERT offers some detriments like the systematic underestimation of the real risk. Therefore a further development led to the “critical field” approach, which implies the use of Monte Carlo simulation...
Cloud computing and cloud storage systems are being used more and more in a variety of domains, from everyday user applications like healthcare monitoring systems and intelligent buildings to military devices. The deployment of these frameworks also enables modern control and automation paradigms found in cyber-physical systems and Industry 4.0. Driven by exponential decreases in computing and storage...
The paper concerns one of the practical applications of advanced IT in the field of present-day climatology. In particular, we discuss the problem of “missing data” on weather and climate in local urban areas, where “missing data” represent the difference between the available and desired data which seem to be necessary in the context of coming climate changes. Then integration of open-access data...
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