METHOD OF PROCESSING EXPERIMENTAL DATA BY LINEAR FUNCTIONS OF VARIABLE LENGTH

The paper covers the prospects to use industrial wastes from machine-building enterprises, appearing while machining various steel grades, as packing materials for industrial absorbers for environmental cleaning processes of gas emissions. The article provides obtained and processed in the criterial way experimental data in hydrodynamics of a packing material sample from metal working machines wastes appearing while treating Aisi 316Ti steel bars; packing material according to the classification method for processing experimental data λ=f(Rem) is oriented to the absorption process during selective gas cleaning in environmental equipment. The authors have compared the studied packing material to the packing that are widely used in industries. The authors have studied the main experimentally confirmed hydrodynamic effects indicating the high efficiency of the proposed packing material. The authors have made calculations for a small-sized industrial absorber for cleaning gas emissions with the use of the studied packing material.

Introduction. The method of processing experimental data obtained in the form of a timevarying non-stationary signal is described. In the experimental study of transients associated with changes in the heart rate of schoolchildren during a proof-reading test, it became necessary to develop a new effective method for processing the results of dynamic measurements. Purpose of the study. Consider the main points of this methodology, which is based on the Prony method, and the possibility of its use in the field of studies of changes in heart rate variability (HRV) in response to various functional test influences. Materials and methods. Traditional approaches related to the calculation of power spectral density (PSD) and based on classical spectral methods are currently very widespread. The model of constant rhythm is not applicable for non-stationary dependencies of HRV. For spectral analysis of time dependences of HRV reflecting transient processes (nonstationary processes) it is proposed to apply spectral analysis on the plane of complex frequencies (PCF). PCF is a generalization of the usual spectrum. The calculation of the PCF is based on the Prony procedure, based on parametric modeling. Results. PCF reflects the frequency structure of oscillations of unsteady physiological signals, therefore, can be used to classify them. It is shown that the use of spectral analysis on the plane of complex frequencies for transient processes of the heart rhythm makes it possible (according to the parameters of the PCF) to calculate, for diagnostic purposes, the numerical values of the parameters characterizing the reactions of various regulatory mechanisms of the heart rhythm in response to various functional test influences. Conclusion. The best results, as compared with the methods of classical spectral analysis, for the analysis of transients in the form of a HRV signal were given by approaches based on the use of spectral analysis on the plane of complex frequencies.

The possibility of recovering the particle distribution function at any point of the four-dimensional transverse phase volume “x, x′, y, y′” using the results of measurements with the pepper-pot method is demonstrated. The proposed method for processing experimental data is based on the assumption that the one-to-one correspondence between holes in the mask and their images on the screen is established. Such a preliminary calibration should be experimentally performed on the measured ion beam. The method of moments is used for the recovery of the distribution function. Using Legendre polynomials for processing experimental results reduces the problem to a sequence of recurrence relations. A numerical simulation of the measurement process demonstrated that the recovery accuracy of the particle distribution function is about ±10%.

The article analyzes the essence of the social-pedagogical technology for development of student youth’s social culture by means of animation activities in information society, which becomes topical in terms of education space at higher education institution, student extracurricular activities and within open social space of information age. Topicality is determined by the necessity to find new means for social education of contemporary intellectuals in order to develop social creativity and positive social interaction. The aim is to characterize this technology and to analyze its effectiveness. Research methods are: designing for development of social-pedagogical technology for developing student youth’s social culture by means of animation activities; observation, questionnaires, document analysis and mathematical statistic methods for processing experimental data, quantitive and qualitative analysis of empirical materials and interpretation of acquired results. The study defined that student youth’s social culture is a level of sociality that facilitates increase in effectiveness of social interaction in professional, civic and informational areas, manifests itself in social values, in formation of social qualities and pro-social behavior, which ensures improvement of socioprofessional space, social integration of various social groups and initiation of new interaction models in society. The social-pedagogical technology for development of student youth’s social culture by means of animation activities as a totality of actions aimed at a specific result turned out to be effective, as indicated by mathematical statistics. Pearson’s chi-squared test was used to compare the formation level of student youth’s social culture in experimental and control groups, and the average value comparison method was used to verify the effectiveness of experiment according to Student’s t-test. Further research aim at scientific substantiation and implementation of the technology for development of student youth’s social creativity by means of art.

Resonance acoustic spectroscopy (RAS) is known as an efficient tool for determining the elastic and dissipative parameters of materials. However, its use for diagnostics of a variety of materials with a low quality factor (including materials with defects) is often impeded by overlapping of resonance responses at different modes. Here, a method of processing experimental data is suggested which enables one to determine resonance frequencies and Q-factors in cases of broad and overlapping resonances. In experiments, both undamaged and cracked samples were studied. A swept-frequency excitation was used for polycarbonate samples, whereas an impulse method with impact excitation was used for concrete samples. Signal processing was performed with the use of the suggested algorithm. In particular, the decrease of the Q-factor and splitting of resonance frequencies due to crack formation were registered. This method, which demonstrates a high efficiency even at a significant resonance overlapping, can be used for nondestructive testing of a broad class of materials.

This paper proposes an approach to the problems of simulation and description of tribosystems, based on an investigation of various fundamental aspects of tribosystem operation. A complex of parameters to be measured in testing, and characteristics analysed after the tests, are selected, using the authors' experience in tribotesting. Methods of processing experimental data and their interpretation are discussed. The approach described here has been successfully used for solution of various practical problems.

The research was conducted as part of the project of Erasmus + (Module Jean Monnet) “EU experience of soft skills development of preschool and primary school age children by theatre activities in teacher training”.The purpose of the article is to find out the educational value of theatrical activities, to reveal the methodological aspects of preparing teachers for theatrical activities with pupils. The study used theoretical methods: analysis of psychological and pedagogical literature, synthesis, comparison, method of modeling and generalization of research results; diagnostic methods: interview, survey, observation, interview: methods of processing experimental data for quantitative and qualitative analysis of the results of diagnostic tests.The concept of “theatrical activity” is specified, the educational and developmental potential of theatrical activity is revealed, the technique of introduction of theatrical activity in practice of modern school is developed, methodical bases of preparation of teachers for theatrical activity with schoolchildren are opened.The results of empirical research have shown that most teachers do not use theatrical activities in their own pedagogical practice. Only certain elements are introduced in art and language lessons: staging of literary works or songs. We are convinced that theatrical activities are a powerful effective means of moral, aesthetic, promotes the development of social skills (soft skils), because it allows to involve students in various types of artistic creativity: literary, musical, visual, stage, choreographic. Through participation in theatrical performances, creative potential is revealed, high moral values are formed, sufficient communication skills are needed to model social behavior in the children's team, in the family and society as a whole. The study allowed to confirm the importance and practical feasibility of using theatrical activities as a means of education and development of youth

The mathematical description of hysteresis makes it possible to understand the behavior of magnetic substances, which allows, by controlling their size, shape and composition, to develop magnetic materials with unique properties. The experimental data on the dependence of the magnetization on the external magnetic field for different types of hysteresis were approximated by the Langevin and Brillouin functions. It is shown that these functions can be used to approximate both the hysteresis loop and the entire range of magnetization. The values of magnetic parameters such as saturation magnetization, coercive force and average moment of the magnetic domain are obtained. Graphs of the dependence of the magnetization on the external magnetic field are plotted and studied, taking into account self-polarization in the internal field.

The article considers the solution of the urgent problem of creating a micro-sized turbojet engine using 3D printing. The article describes one of the ways to cool the walls of the heat pipe of a small combustion chamber made of heat-resistant material 08KhN53BMTYu. One of the acceptable ways to cool the walls of a small-sized chamber heat pipe is convective heat exchange of the outer side of the heat pipe due to intense vortex formation in the boundary layer of the flow. This effect is achieved by the device of projections on the outer wall of the heat pipe. The article highlights the peculiarity of the shape of the protrusions, which must be carried out taking into account the technological limitations of 3D printing. The article presents a description of an experimental stand for the study of the thermal state of the heat pipe of micro turbojet engines, the method of processing experimental data and the results of experiments on the heat transfer of the heat pipe shell with and without them.

Methods for mathematical modelling of the processes of cell proliferation and differentiation in normal and tumour tissues and their practical utilization are the subject of a considerable body of works. The theory of cell population dynamics and its applications has now become a full-fledged division of mathematical biology. The fundamentals of the mathematical theory of cell systems have been more comprehensively covered in monographs [13, 25, 70]. According to some authors [12, 13, 20, 67] the following are among the currently central problems of mathematical modelling in that field: (1) development of effective methods for processing experimental data on the dynamic behaviour of normal cell populations. These activities aim at identifying parameters essential for understanding and interpreting specific properties of a given cell system; (2) quantitative description of changes in the dynamics of cell populations due to the effect of damaging agents; (3) optimization of the regimens of therapeutic action on cell systems. KeywordsCell PopulationCell SystemIrradiate CellMitotic CycleCell KineticThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Translating a novel becomes popular nowadays. Meanwhile, there are four technical tools in the translation procedures which are ordinaryly used by the translator; addition, subtraction, elimination and adaptation. Thus, the purpose of this research is to find the four technical tools in Listiana Srisanti’s translation result appeared in the first novel of Harry Potter. Library research is considered as the method of collecting data. The data in the novel that have been collected are analyzed by using the four technical tools. Based on the classification, it is discovered that there are ten data of addition, thirteen data of subtraction, twelve data of adaptation and nine data of elimination. Those data found are representative enough from the whole data in the novel, because the author takes the data by its part from the translated sentences contained the technical tools. In conclusion, the result indicates that the technical tool of subtraction is the most considerable data (13) applied in the novel.

Noise reduction algorithms are widely used to mitigate noise effects on speech to improve the robustness of speech technology applications. However, they inevitably cause speech distortion. The tradeoff between noise reduction and speech distortion is a key concern in designing noise reduction algorithms. This study proposes a novel framework for noise reduction by considering this tradeoff. We regard speech estimation as a function approximation problem in a regularized reproducing kernel Hilbert space (RKHS). In the estimation, the objective function is formulated to find an approximation function by controlling the tradeoff between approximation accuracy and function complexity. For noisy observations, this is equivalent to controlling the tradeoff between noise reduction and speech distortion. Since the target function is approximated in an RKHS, either a linear or nonlinear mapping function can be naturally incorporated in the estimation by a “kernel trick”. Traditional signal subspace and Wiener filtering based noise reduction can be derived as special cases when a linear kernel function is applied in this framework. We first provided a theoretical analysis of the tradeoff property of the framework in noise reduction. Then we applied our proposed noise reduction method in speech enhancement and noisy robust speech recognition experiments. Compared to several classical noise reduction methods, our proposed method showed promising advantages.

In this research, an integrated framework on the big Earth data analysis has been developed in the context of the geomorphology of Jordan. The research explores the correlation between several thematic datasets, including machine learning and multidisciplinary geospatial data. GIS mapping is widely used in geological mapping as the most adequate technical tool for data visualization and analysis. GIS applications encourage geological prospective modeling by visualizing data aimed at the prognosis of mineral resources. However, automatization using machine learning for big Earth data processing provides the speed and accurate processing of multisource massive datasets. This is enabled by the application of scripting and programming in cartographic techniques. This study presents the combined machine learning methods of cartographic analysis and big Earth data modeling. The objective is to analyze a correlation between the factors affecting the geomorphological shape of Jordan with respects to the Dead Sea Fault and geological evolution. The technical methodology includes the following three independent tools: 1) Generic Mapping Tools (GMT); 2) Selected libraries of R programming language; 3) QGIS. Specifically, the GMT scripting program was used for topographic, seismic and geophysical mapping, while QGIS was used for geologic mapping and R language for geomorphometric modeling. Accordingly, the workflow is logically structured through these three technical tools, representing different cartographic approaches for data processing. Data and materials include multisource datasets of the various resolution, spatial extent, origin and formats. The results presented cartographic layouts of qualitative and quantitative maps with statistical summaries (histograms). The novelty of this approach is explained by the need to close a technical gap between the traditional GIS and scripting mapping, which is wider for big data mapping and where the crucial factors are speed and precision of data handling, as well as effective visualization achieved by the machine graphics. The paper analyzes the underlying geologic processes affecting the formation of geomorphological landforms in Jordan with a 3D visualization of the selected fragment of the Dead Sea Fault zone. The research presents an extended description in methodology, including the explanations of code snippets from the GMT modules and examples of the use of R libraries ‘raster’ and ‘tmap’. The results revealed strong correlation between the geological and geophysical settings which affect geomorphological patterns. Integrated study of the geomorphology of Jordan was based on multisource datasets processed by scripting. A thorough analysis presented regional correlations between the geomorphological, geological and tectonic settings in Jordan. The paper contributed both to the development of cartographic engineering by introducing scripting techniques and to the regional studies of Jordan including the Dead Sea Fault as a special region of Jordan. The results include 12 new thematic maps including a 3D model.

Cloud computing provides distributed computing resources such as servers, storage and applications to the end users through data centers. The data centers are geographically located at different locations. The client applications or requests being serviced by cloud service providers on “pay per use”. So, different pricing models are adapted to compute the cost and revenue of the data centers. The cost of VM is computed depending on its placement in the data centers through broker policies. So, the broker policies have a significant role in evaluating the cost of the VM which directly impacts on revenue of the service provider. In the computing competition, the VM cost should be minimized by which service demand will be maximized. Moreover, the response time and processing time of the data centers need to be minimized to posses commendatory Quality of Service. In this work, we propose a new service broker policy to minimize the total cost. The total cost considers the VM cost and the data transfer cost. The proposed mechanism also reduces the response time and data processing time of the data centers. The proposed policy is simulated in Cloud Analyst. We examine the performance of the proposed mechanism with ten different scenarios. Finally, we compare performance results with respect to VM cost, data transfer cost, total cost, processing time and response time of data centers with the existing policies and observe better than these.

Decision Support Systems in action: Integrated application in a multicriteria decision aid process