The main indicators of efficiency of a cultivation machine are the following: productiveness and fuel consumption, which depend on complexity of work, operating depth and structure of the machine (type of the tractor and plough). The optimal structure of cultivation aggregate for the needs of each exact farm is complicated to do due to different determined and stochastic factors. In this case, Monte Carlo imitation modeling is proposed to use. As a result of models’ analysis, it is defined that all aggregates could be divided onto 4 groups of efficiency. Curves demonstrating dependence of fuel costs, compensation of losses caused by breakdown of agricultural terms and soil compaction caused by quantity of aggregates are built. After integration of the whole amount of aggregates into a common traditional technology of cultivation and after selection of its characteristics (quantity of aggregates, general fuel costs and losses costs, including fuel costs) it was proposed to split it onto 3 category modes: hard (according to technological mode – 2 or 5 shifts), normal (4-10 shifts), mild (6-15 shifts). The obtained models can be successfully applied in software of on-board computers in tractors and PCs of the engineers as well. Dynamical models for other technological processes in plant breeding could be obtained in the same way. All developed models allow us to make one more step towards precision farming and reduce costs for manufacture of end products
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
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
The problem of acquisition of computer attacks is considered. It is demonstrated that it is a solution of combinatorial problems, and their solution is bound to fork of solving processes, with search of alternatives that grows fast at thickening of system of regularities. Such search is foregone, but it can be reduced to the reasonable magnitude, allowing solving problems of acquisition of computer attacks. Application of inductive forecasting of statuses will allow to inoculate knowledge base in an automatic mode, to shape the new rules and to delete the old ones
In the article the experience of application of the rolled concrete at building of constructions is described and bases of modeling of manufacture of plates from rigid concrete mixes are given
The paper describes methods to increase the economic and technical aspects of high-rise projects located on sites with week subsoil conditions and low-sized site plan. Proposed and applied construction elements let us achieve high efficiency for realized project situated on a site with limited square. Advantages of CFA technology have been shown
The article analyzes the current state of virtualization technology, development trends, changes in approaches to the provision of IT services using virtualization technologies, and shows the ways and areas of virtualization technologies application in economic IT environments
The results of operating conditions of harvesting forest machines by means of optimization harvesting forest process with application of the queueing theory are considered
The modern level of development of the industry requires
creation of more difficult and high-precision
systems of an electric actuator allowing executing precisely
and correctly the given technological processes.
As these devices, we may consider hybrid or cascade
systems of an electric actuator. However, for creation
of such devices we require new design approaches, or
specification and improving of the existing theories and
methods of design of classical systems. The main difficulty
in calculation consists in determination of parameters
of electromagnetic system. In this article, new
approach is given in finding of electromagnetic parameters
of components of an asynchronous controlled
cascade electric actuator taking into account real geometry.
This approach was formed during creation of
the program complex, which is a part of a system of
automatic design
The current state of the industry and high level of development
of technologies dictates the requirements to
various electromechanical converters of energy and
electric drives. Constantly there are new requirements
to these types of devices and their characteristics that
lead to creation of more and more difficult devices of
the electric drive and control systems which example is
cascade systems of electric drives. This type of drives
solves part of problems of the modern industry. However,
creation of such devices requires development of
new approaches to design and creation of cascade systems
of the electric drive and its components where one
of the most complex challenges is determination of
parameters of electromagnetic system. In the article, a
new approach is given, in finding electromagnetic parameters
of components of the operated cascade asynchronous
electric drive, proceeding from the applied
types of the electric windings distributed in space. This
approach is realized at creation of the program complex,
which is part of system of automatic design