05.00.00 Technical science
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MEANS OF SHAPING AND FORMSERIALIZE IN MODERN FUR CLOTHES
DescriptionIn the article, we perform an analysis of the means of shaping and formserialize in fur clothes taken in the production of domestic and foreign fur companies. The spatial form of fur garments is solved, in the main, constructive. The type, direction and amount of articulation were determined by the design of the product and the properties of the fur: the height of the hairline, the size of fur semi-finished product. The proposed positioning of the shaping of articulation in fur clothes has to be performed in the environment of 3D CAD. It is established that in modern models of the silhouette of a fur product may be formed not only by design divisions but also by a combination of the product of different types of fur. We have performed studies on the use of funds of formation in models of industrial collections fur coat 2015-16 presented on the trading spots of Moscow. We have conducted a monitoring of consumer preferences on the types of fur among women and determined the causes of loss of fur, clothing of spatial forms under adverse conditions of wearing. We have also proposed innovative means of formserialize in a fur garment of solid and perforated fur
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RESEARCH METHODOLOGY OF THE SPRAY ALIGNMENT EFFECT ON QUALITY INDICATORS OF THE SPRAYER WORK
DescriptionThe article discusses the methodology of the study of influence of the angles of the spray nozzles on the quality indicators. The authors considered three options for placement of dispensers with preset angles. To determine the quality indicators we used a special technique based on the use of a personal computer equipped with a scanner with high resolution for entering information directly to the trapping surfaces
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HARDENING AND SOFTENING OF CLAY SOIL
DescriptionHardening of clay soil manifests in the form of increase of the resistance of sample to shear deformation. The shear tests of normally compacted and overcompacted soils give values of peak strength at small strains and long-term strength at high. A shear test with constant strain rate of deformation (CRD) with continuous recording of resistance encounters uneven resistance change and the cyclical rate of change of resistance (RCR). The identification of cycles of the SIS allowed us to divide the deformation in each cycle for elastic and inelastic, corresponding to the ascending and descending branches of cycle. On an interval of the total resistance, the increases of the increment of inelastic strain are positive up to some critical value of the total deformation of the sample at which their sum reaches a maximum. This maximum is adopted as a measure of hardening. With further shearing of the sample, inelastic increments are negative, and their sum is monotonously decreases and reaches negative values for the total destruction of the sample. This value is taken as the softening. A symptom of total failure of the sample is the decline of absolute values of inelastic increments of resistance to zero. In general, the trend of the increments of inelastic and elastic increments of the resistance of the sample indicates the development of the destruction of the soil sample on the sliding surfaces and, in particular, yielding of the total surface. The sum of elastic increments of the resistance monotonically increases throughout the shear
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RESEARCH THE FILLING PILE’S SETTLEMENT IN CLAY SOILS DURING REPEATED STATIC LOADING
DescriptionThe object of the study is bored piles and their joint work with clay soils. The analysis of the field of static tests of bored piles, arranged by continuous flight auger technology (CFA), was carried out by repeated loading. Curve of settlement and the rate of its development from the applied force was obtained. Linear relationship reducing the amount of settlement in the second cycle from residual displacements after unloading pile on the first cycle was found. There was a relationship increment of settlements in the second cycle from the involvement of the bottom end in the work
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Description
Waterflooding helps in the recovery of great amount of oil that would have otherwise been abandoned in the reservoir that is depleted. A reservoir in the Niger Delta, Reservoir X has been used to illustrate this. Reservoir X had oil initially in place as 7.345 MMSTB and was produced for some time with the reservoir natural energy. The remaining oil in the reservoir as at the time that the natural energy of the reservoir was no more sufficient to produce oil was 2.96MMSTB. The reservoir has been left as depleted reservoir with the remaining oil in it. But from the analysis conducted in this work it is seen that if secondary oil recovery project by waterflooding is embarked on the reservoir, part of the remaining abandoned oil would be recovered. With the specifications given, about 1.22MMSTB of the 2.96MMSTB of oil in reservoir X would be produced as at the breakthrough time of 580 days. Moreover, considering the economic aspect of the project, reservoir X and is good to be invested in. From the NPV calculations performed, it is seen that the NPV of reservoir X at discount rate of 10% is $4.13 million
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Description
Car license plates recognition problem is one of the typical tasks of computer vision. Video surveillance software usually provides license plates recognition function. Meanwhile, there are many approaches to solve this problem, where template-based methods are the most common. Such methods providing predictable and short enough execution time, and little percent of mistakes. However, such methods are far less effective in case there is a need to recognize car’s license plate, which may be located in unpredictable place, typed in undefined font and on non-standard background, or without strict formatting. For example, USA car license plates. One of the methods to increase effectiveness and quality of such license plates recognition is to use neural networks. It is assumed, that neural networks usage can significantly increase recognition quality. Nevertheless, neural networks usage entails difficulties of it’s training, and often becomes less efficient as template-based methods usage. This article discusses probability of usage of convolutional neural network, which was trained using MNIST (Mixed National Institute of Standards and Technology) database. This article is a review of usage of templates and neural networks for car’s license plate recognition in terms of quality, performance and complexity of the usage
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Description
A determination system of the population health is a big complex hierarchical system. The current level of management of such systems involves the use of mathematical models and corresponding software tools for the accumulation of baseline data (monitoring), identification, prediction and decision-making. However, when modeling such large complex systems, we face a number of problems. The main problem is that in one model it is necessary to process a very large number of factors in a proper and comparable way, that are measured in different units, and different types of scales (numeric and text). Traditionally, to solve this problem and determine the values of individual criteria we use expert evaluation and desirability functions, and the integral criterion is the geometric mean. However, the traditional approach, currently applied in this field, has several disadvantages. First, in the traditional model it is defined in an expert way, which factors influence the decision of different problems in a positive way, which ones are negative and which ones do not affect. Second, for the numerical evaluation of influence factors on the solution of the problem we use different algorithms for calculating values of the desirability function for positively and negatively influencing factors which, when used as an integral criterion of the geometric average, leads to comparable results. Third, the use of normalized utility functions leads to the leveling force of the impact factors resulting in weak impact and the influencing factors are given the same variation in numeric values and have similar influence on integral criteria. All of the mentioned problems of the traditional approach have been resolved using Automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – Universal cognitive analytical system called "Eidos". In the proposed systemic cognitive model, for the values of environmental and economic factors, without the participation of the experts, we have calculated the amount and the sign of the information contained there about some values of indicators of population health
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Description
In complex multiparameter technical systems there are numerous and varied physical processes which, on the one hand, have a significant impact on the performance of those systems, and on the other hand, it is extremely difficult amenable to description in the form of meaningful analytical models based on equations, because these models must take into account the specific features of the systems. As a consequence, the development of conceptual analytical models is a "hand-made work" and it is associated with a large number of simplifying assumptions that reduce their versatility and reliability. But there is also another principle of modeling: the construction of phenomenological information models, i.e. models that do not have analytical forms of representation that describes the simulated system superficially as a "black box". Such models can be built directly based on empirical data and with the appropriate software it can be a standard technology much faster and much less time consuming than developing meaningful analytical models. On the other hand, the phenomenological information model can be sufficient to determine the rational design features and parameters of the modes of operation of complex technical systems. Besides, such phenomenological models can be viewed as the first stage in the development of meaningful analytical models. It is proposed to use a new universal innovative method of artificial intelligence for creating phenomenological models of complex technical systems: automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit which is a universal cognitive analytical system called "Eidos". In the system of "Eidos" we have implemented a software interface that provides direct input into the system large amounts of empirical data from an Excel file. The system of "Eidos" can directly (based on empirical (experimental) data) calculate how much information about the results of the technical systems is contained in the facts of possessing certain specific structural elements and certain values of the parameters modes of its work. On this basis, the system provides research-based and appropriate recommendations for the rational choice of design features and parameters of the operation modes of the simulated system
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Description
It is well known that genetics studies the mechanisms of variation/heredity and widely uses the concept of "genetic information". While genetics considers the information as the content of the genetic code - structure of DNA and RNA included in the cell of a living organism. Genetics examines the mechanisms of recording, copying, readout of genetic information, the possibility of its modification and its influence on the characteristics and properties of the organism. In conversational and scientific language we know phrases, such as "Genes contain information about the characteristics/properties of the body." Paradoxically, we see no attempts to determine the amount of information contained in specific genes on specific characteristics or phenotypic properties of the organism. It would seem that the application of information theory in genetics is a completely natural and suggests itself. More strange that there are practically no works devoted to the application of information theory for solving problems of genetics. This article is intended, to some extent, to fill this gap on the example of calculating the amount of information in the genes of the characteristics or properties of different grape varieties. It examines the application of automated system-cognitive analysis (ASC-analysis), its mathematical model – system of information theory and software tools – intellectual system called "Eidos" for solving one of the important tasks of genetics: determine the amount of information contained in the genes on various phenotypic characteristics/properties of the grapes. To solve this problem, we perform the following steps: 1) cognitive-targeted structuring of the subject area; 2) the formalization of the subject area, i.e. development of classification and descriptive dials and graduations and training samples; 3) synthesis and verification of information model, reflecting the amount of information in the genes on the phenotypic characteristics/properties (multiparameter typing); 4) displaying the information about the genetic determination system of phenotypic characteristics/properties (SWOT analysis of Fennovoima); 5) displaying the information about the strength and direction of influence of a specific gene on phenotypic characteristics/properties (SWOT-diagrams of genes); 6) the solution to the problem of system identification phenotypic characteristics/properties by the presence of certain genes; 7) quantification of the similarities-differences of the various phenotypic characteristics/properties, upon determination system genes. A specific phenotypic property (or characteristic) is regarded as a noisy genetic text, including genetic information about the true gene property (clean signal) and the noise that distorts this information due to the random effects of the environment. The software tool of the ask-analysis which is "Eidos" intellectual system provides the noise suppression and the selection of true signal
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Description
From a huge number of the organisms inhabiting our planet, insects make 70%, being the most numerous of the invertebrate animal classes numbering more than 2 million types. It is difficult to find such place where it would be impossible to meet representatives of this huge class. They completely took over the entire environment - water, the land, air. For them, it is the common characteristic: complex instincts, omnivorous, high fecundity, and for some of them – a public way of life. Insects can be found at tremendous heights, reaching the level of 5000 meters, and they inhabit the desert where it practically never rains, not to mention the absence of any vegetation. Deep caves where no sunlight, nor the conditions for food and existence of living organisms — it is also the habitat of insects, they can be found far beyond the Arctic circle, and even on many Islands of Antarctica, where in addition to lifeless rock, it would seem that there is nothing else. Among insects, one of the largest and most numerous families are the ground beetles (Carabidae). They subtly respond to changes in soil and vegetation, hydrothermal and micro-climatic conditions of the environment, which makes them a convenient model subject to various environmental and Zoological researches. Ground beetles belong to a large number of genera and species, often difficult to see, in this regard, we use many different signs to diagnose. We have taken into consideration the coloration, body shape, external structure, surface structure, size, and arrangement of the genitals and chaetotaxy. Due to the fact, that the number of ground beetles is enormous, and, using their appearance, it is very difficult to determine their generic identity, there is a need of automation of the identification process, due to which we require a special mechanism that would increase the accuracy of these insects. In the previous work of the authors (http://ej.kubagro.ru/2016/05/pdf/01.pdf) we considered the further possibility of using the method of ASC- analysis to classify insects, not only in species but also in genera, orders, thereby increasing the reliability of determination of ground beetles, which will be done in this article. A numerical example is given. We also have gained a successful experience of solving such problems in other subject areas. This article can be considered as a continuation of the series of works dedicated to governmental use of the automated system-cognitive analysis (ASC-analysis) and its software tools – the system of "Eidos"