All articles - Remote Sensing

Earlier 20 century, sociologist Pitirim Sorokin suggested a theory of socio-cultural dynamics as follows: development of social systems and their transition from one state into another occurred under the influence of values prevailing in society. Note that social and cultural values are generating one or another type of society (even civilization) while evolution of values leads society to a turning point of development where these values compulsorily disintegrate or go to a new level of functioning. Cited as example may be the collapse of the USSR and radical transformation of the Chinese economy.

The topicality and significance of the subject of dissertation. Experts by Synergy Research noted that the total market volume of neural networks by 2005 exceeded 10 billion, dollars, in 2014 the volume of cloud services amounted to more than 17 bln. dollars, an increase of 45% year of calculus1. Also, in the first quarter of 2015 the market volume of services designed to deploy cloud infrastructures, exceeded $ 5 billion., where the share of Amazon Web Services was 29%. Due to the dynamic increase in sales of cloud services in January-March 2015 Google's revenue increased by 74%, IBM - by 56%, while revenues Salesforce.com rose by 34%. Thus, in 2018 the market of public cloud services will take place an investment of $ 127.5 billion., And their size by this time will be increased by an average of 22.8% per year, which is six times greater than the projected growth of global IT-market2.
Determination of hidden patterns, data classification, prediction of processes, as well as analysis of the studied process for large volumes of data and in terms of their uncertainty arc the main tasks of data mining. For complex, weakly formalized processes with fuzzy nestohastichnostyu and incompleteness in the source of information and situations of internal and external environment, not usually given the opportunity to build simple adequate mathematical models. Information about the parameters of such processes is usually expressed by experts in the form of words and sentences, ie, in linguistic form. In such cases, the simulation, decision-making and management tools appropriate to use the technology of soft computing (Soft Computing).
The hybrid system obtained by combining the components of soft computing technologies - fuzzy logic, neural networks and evolutionary algorithms, will have the same intellectual property as the application of knowledge in natural language. In this regard, the development of algorithms and software for generation of fuzzy models of classification tasks, assessment, forecasting and decision-making based on fuzzy inference rules, neural networks and evolutionary algorithms is an actual problem.
Therefore, there is a need to develop methods and algorithms for solving data mining, ie the tasks of building fuzzy models classification, estimation and forecasting on the basis of fuzzy clustering, configuration parameters of the model using neural networks and evolutionary algorithms and fuzzy multi-criteria optimization that occurs when building the model.
This dissertation research is aimed at solving the tasks set by the Law of the Republic of Uzbekistan «On electronic government » for the № LRU-395 of December 9, 2015, Decrees of the President of the Republic of Uzbekistan «On measures to further the implementation of information and communication technologies in the real economy» for the № DP-2158 of April 3, 2014, «On measures for further development of national information and communication system of the Republic of Uzbekistan» for the № DP-1989 of June 27, 2013, and the Resolution of the Cabinet of Ministers «On measures for the formation of the central database of individuals and legal persons and implementation of a unified information system to identify users of the system «Electronic Govcmmcnt»»for № 365 of December 17, 2015.
The purpose of research is to develop hybrid methods and algorithms for building models intelligent analysis of weakly formalized processes based on the method of fuzzy clustering, setting the parameters of these models with the help neural networks and evolutionary algorithm of a bee swarm.
Scientific novelty of the results of the dissertation is as follows:
proposed hybrid the methods of construction of fuzzy models intelligent analysis of weakly formalized processes;
an algorithm for constructing a fuzzy logic model intellectual analysis -classification, estimation and forecasting of weakly formalized processes based on the method of fuzzy clustering;
the possibility of obtaining fuzzy solutions in the construction of the fuzzy logic model classification, evaluation and forecasting of weakly formalized processes based on the settings parameters of the model neural networks for different membership functions;
the possibility of obtaining fuzzy solutions in the construction of the fuzzy logic model classification, evaluation and forecasting of weakly formalized processes based on the settings parameters of the model of algorithm of a bee swarm for different membership functions;
it formed a multicritcria optimization problem in the conditions fuzzy information and developed an algorithm to solve this problem;
develop criteria and algorithms for solving optimization problems and decision-making with fuzzy initial information, proved several assertions about the properties be improved solutions in terms of membership functions;
developed the technology constructing adequate fuzzy model based on hybrid methods of intellectual analysis of weakly formalized processes
CONCLUSION
Analysis of the main results of the thesis allowed us to make several conclusions.
1. A systematic analysis of the problem of constructing models of fuzzy classification problems, estimation and forecasting in weakly formalized systems, as well as the urgency of the development of methods for their solution.
2. On the basis of mathematical analysis shows that important to ensure the adequacy of the model, that is, how to properly use the current information about the subject of research in the modeling process.
3. Analysis of the fuzzy multi-criteria optimization problems generated by the construction of fuzzy model predictive analysis of poorly formalized processes, allows us to solve the problem of multicritcria optimization, resulting in the construction of classification models, estimation and forecasting processes in a fuzzy information.
4. An algorithm for constructing a fuzzy model predictive analysis of the process allows us to solve the problem of classification, estimation and forecasting processes in weakly formalized and the nature of the uncertainty of information about them.
5. The experimental studies have shown a higher efficiency of the developed algorithms in comparison with known algorithms for solving model problems classification, estimation and forecasting.
6. Analysis of the results obtained in the construction of classification models, estimation and forecasting of mining processes in the states of fuzzy information based on fuzzy clustering method showed that the fuzzy approach makes it possible to obtain adequate fuzzy decision based on any a priori information and the level of certainty.
7. Determine the properties be improved for solving the problem of fuzzy multi-criteria optimization, formed by the construction of fuzzy model, and this property contributes to obtaining effective results in addressing a number of practical problems.
8. The possibility of obtaining effective solutions for solving practical problems of classification, estimation and forecasting based on the development of algorithms for constructing models of mining state weakly formalized processes.

Subjects of the inquiry: Disscrtational work is directed on the decision of a problem of creation of theoretical bases of complex processing of tomatoes. The basic attention is given to a problem (task) - to modeling and optimization bioprocesses and hot processes of food technology.
Aim of the inquiry: Development of scientific bases of an intensification of processes of reception tomato product’s, by mathematical modeling and optimization of processes and creation of highly effective technology and the equipment.
Method of inquiry: Mathematical modeling. Reception of the mathematical description of object of research, algorithmization and the software, computer research, experimental check of adequacy of the mathematical description to real process, optimization of process.
The results achieved and their novelty: The received results and their novelty of work consists in the following:
- theoretical bases of intensification HMR of processes of processing agrccultural products on an example tomato products, including the structural -system analysis of processes at various levels of hierarchy and use of methods of mathematical modeling arc developed;
- the theoretical results promoting development of a science about processes and devices of food technology, suitable arc received at research of similar processes of food technology;
- the experimental, methodically proved installations for reception of analytical and experimental mathematical descriptions of researched processes and establishments of their adequacy to real processes arc developed and prepared;
- ways of sterilization of container and finished goods arc offered by IR-processing of tomatoes of the whole in exchange hoting mixed weights in tubular devices, system centrifugation-evaporation (S-E) for conscntratcd, drying of seeds in warmed with IR-bcams pnevmomashin;
- mathematical models of the top levels of hierarchy for system conscntratcd under circuit S-E, reflecting quantitative and qualitative essence of division in a field of centrifugal forces and evaporation fugate arc offered;
- the optimum mode of IR-processing of tomatoes for their clearing of a thin skin is experimentally found, processes centrifugation a tomato pulp and evaporation fugate arc investigated depending on entrance parameters, such as initial concentration dry water-soluble (S), not soluble (NS) components, their parity ratio, value of vacuum in the device, the set concentration of tomato - paste, etc.; the structure of temperature on time for the set temperature of sterilization in periodic autoclaves is received; influence of temperature of the working agent, an initial moisture, a parity ratio of charges of tomato seeds and air, density of a thermal stream, on course of process of drying of tomato seeds is investigated. By reception of statistical mathematical model optimum values of the factors influencing process of drying of tomato seeds arc determined;
- it is received nomogram for conscntratcd food solutions in technological system S-E, the technique of two-level optimization of process of drying of a loose material is developed.
Practical value: the practical importance of results of research of disscrtational work consists in the following:
- the software of the received analytic and experimental models it is suitable for research similar HMR processes;
- optimum parameters arc revealed at processing tomatoes in an offered (a suggested) line;
- installation for pneumo drying seeds is included in a technological line of processing of tomatoes, short-term electro physical influence is used, the choice of rational regime parameters of process is proved;
- the design procedure of hydromcchanical process - divisions of a pulp in a field of centrifugal forces, evaporation fugate in the two-case device, HMR processes of drying of tomato seeds is developed, arc investigated modes of exploitation of effective installations;
- algorithms and programs of calculation hydromcchanical and HMR processes are developed.
Degree of embed and economical effectivity: the developed circuit of installation tritment a tomato pulp, drying of tomato seeds, use of the activated water at sterilization of container and the equipment arc introduced and have passed industrial tests in shop of processing agrccultural products collective farm "Tashkent" (the Tashkent area). The centrifugal-evaporation technological scheme for production the concentrated tomato juice realized on the Gazalkent’s canned plant. The technological scheme of drying tomato seed, and for example, seed’s fruit’s of apple, pomegranate and the groundotypc product’s realized on the production line of the Uzbek-Turkey trading-production firm “El Koi”.
Economic benefit collects for the account:
-decrease in losses and increases in concentration of an end-product;
-reduction of expenses of energy by unit of finished goods;
- increases of food value of finished goods as a result of decrease in influence of high temperature, preservation of biologically valuable components: vitamins, microcells, etc.;
- transformations into industrial raw material of tomato seeds;
- simplifications of a design of the equipment and controllability of a line.
Sphere of usage: the canning industry.

The aim of the research work. The aim of this dissertation is to study the causes of caving during drilling and the development of measures for quality completion of wells in the complicated caving areas.
Scientific novelty' of the research work is as follows:
experimentally obtained dependence of the strength of the rock on the number and speed of round-trip operations;
theoretically established the influence of "launch" of the pump pressure in the process of recovery of fluid circulation to the occurrence of fatigue stress on the rock;
theoretically determined that the teeth of roller cone bit under certain specific heaviness causes the ultimate stress in the rock that goes well beyond the loop, which is the reason for the reduction of its strength and collapse;
it was established that the roller bits cause deformation of rocks in the array, whereby the macro- and micro cracks arise where mud filtrate penetrates;
the method is developed for caving forecasting technique based on zones of geophysical studies and research drilled solids (sludge) by comparing the actual density of rocks with a density of normally compacted rock (theoretical density of the breed).