Software & Systems

Articles of journal № 3 at 2014 year.

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1. Adaptive control system for silicon oxide concentration in slags at processing copper-nickel ores [№3 за 2014 год]
Authors: Fomicheva S.G., Konev A.V.
Visitors: 7294
The article presents the results of designing self-adaptive regulators based on the fuzzy-neural networks. Such networks are used to balance the content of silicon oxide in slags when processing copper-nickel ores to copper and nickel cathodes. The paper shows that these metallurgical processes are highly inertial and demand two-level regulation system: rough and exact adjustment. Thus, an exact adjustment can adequately be carried out in completely automatic mode reducing operational loading for actions of a technologist-dispatcher. Operating influences of an independent adaptive regulator provide higher balancing accuracy comparing to manual management. There is a structure of a hybrid fuzzy-neural network which is a base for an adaptive regulator development. The paper shows revealed fuzzy tendencies for dependences of the silicon oxide content in slags from operated parameters of high orders of nonlinearity. They are experimentally proved. The configuration of an author's hybrid network structure includes five interlocked fuzzy-neural subnets with feedback coupling and delay elements. Delay elements simulate the time lag displaying processes iteration depth. The lag in turn also is a fuzzy variable. The given configuration allowed realizing adequately soft operating influences on such parameters as the general sand content; a dust flow; a blasting enrichment; Ni+Cu in a concentrate; S in a concentrate; Fe in a concentrate; SiO2 in a concentrate. Also it is correct to consider a number of retrospecti ve parameters at fo

2. Diagrams classification algorithm with consequent enlarging of features [№3 за 2014 год]
Authors: Filatova N.N., Khaneev D.M., Sidorov K.V.
Visitors: 12853
In order to solve a number of applied tasks the classifiers for samples of two -dimensional graphic dependen-cies could be useful. The paper discusses a new approach to solving the problem of graphic dependences classification co m-bining it with the segmentation problem. The article also describes an algorithm of interval consequently enlarged features al-location when the classifier works based on neuron-like hierarchical structure. This classifier is based on the idea of growing pyramidal network that is adapted for work with fuzzy objects descriptions. While learning, the classes models are being formed in the classifier hierarchical structure. The models are interpreted to fuzzy expressions (rules) for fuzzy inference sys-tem. The fuzzy expressions reflect the major characteristics of all objects of training set and are presented in a form unde r-standable for an expert. Features enlarging intervals are obtained by analyzing the rules after training the classifier on prima-ry data. The algorithm of interval features automatic generation allows localizing areas with the same values of fuzzy features. This actually results in investigated graphic dependences segmentation on areas with similar structural properties e s-timation. The operational peculiarities of consequentially enlarged features allocation algorithm are discussed in detail on the example of an artificially generated data. The algorithm software implementation is tested on artificially generated data and on real clinical data (recordings of respiratory sounds, voice and electroencephalograms). The paper studies consistently en-larged features application influence on success of the examined data classification results.

3. The algorithm for determination of group air objects resolution probability by radars in an airfield [№3 за 2014 год]
Authors: Berdyshev V.P., Kordyukov R.Yu., Pomazuev O.N., Mironov A.M., Stuchilin A.I.
Visitors: 16769
The work is devoted to the development of the algorithm of aircraft groups resolution probability determina-tion by radars in an airfield area. It considers tactical requirements for survey airfield radars resolution. The requirements are related to air objects density in an airfield and the need to ensure safety. There are analytical expressions to assess radar resolution on range and azimuth. The paper shows the ways to improve it. Estimating the probability of group air objects resolution is based on analytical expressions. These expressions are ob-tained for possible values of the resolving power in range and azimuth using a resolution probability geometric interpretation and Equiprobable laws of values distribution between aircraft objects and their mutual angular location. The paper considers 6 cases. They are different in range resolving power and a linear resolving power on azimuth with minimum and maximum distances between aircraft objects. The authors obtained analytical expressions to determine resolution probabilities for these cases. The formulas for 3th and 4th cases are new with improved resolution on azimuth in inverse radio synthetic aperture ra-dars. The authors has developed an algorithm to determine group air objects resolution probability and a program in MATLAB 6.5. It is based on the obtained analytical expressions. The authors has obtained dependencies of group air objects resolution probability by a sentinel 5N84AM radar without using and using inverse radar synthetic aperture on distance and observation angle for given parameters: maximum and min-imum distances between aircraft objects, tangential velocity, range resolution and wave length. The article shows that the i n-verse radar synthetic aperture can significantly improve group targets range resolution for low-speed and high-speed air ob-jects at different resolution parameters in range and azimuth as well as observation conditions. The article also shows similar dependencies of group air objects resolution probability for centimeter-wave radars using inverse radio synthetic aperture. There is a comparison of features of centimeter -wave and meter-wave radars depending on group air objects resolution. The developed algorithm can be used to evaluate the capabilities of existing and future radars for group air objects resolution with different resolving power in range and azimuth. It also can be used for proving their parameters to get range and azimuthal portraits for recognition air objects classes and types by a decision -maker when selecting a radar sample comparing alternatives.

4. Ellipsis recovery as a problem of automatic text processing [№3 за 2014 год]
Authors: Malkovskiy M.G., Minyaylov V.S., Starostin A.S.
Visitors: 9685
Nowadays the importance of automatic syntactic analysis of natural language texts is obvious. Phenomenon of homonymy is a feature of any natural language. It is the main reason which explains complexity of the task of automatic syn-tactic analysis: the same language signs placed into different contexts can be interpreted differently. Note that in a natural languages there is one more phenomenon besides homonymy. Its potential ambiguity is shown also well. This phenomenon is ellipsis. Despite common nature of both phenomena and the fact that homonymy is studied by computer linguistics during decades, the ellipsis is mentioned in some papers only in passing. Nowadays even the simplest ellipsis cases are a hard obsta-cle for syntactic analysis algorithms. An approach to solve the problem of automatic syntactic analysis is proposed in the paper. Correct processing of elliptic constructions is a natural element of a general scheme of syntactic analysis including three parallel functioning mechanisms (mechanisms of predictions, mechanism of mergers and estimation mechanism) is the main feature of the approach.

5. Modular SOM for dynamic object identification [№3 за 2014 год]
Authors: A.N. Averkin, I.S. Povidalo
Visitors: 9746
Object identification is complicated if noises are present in the source data, some of the object parameters change according to unknown laws or the exact number of the object parameters is unknown. In such cases neural network can be applied for dynamic object identification. There are a lot of different types of neural networks that can be used for dy-namic object identification. Among different neural network architectures applicable for dynamic object identification a class of neural networks based on self-organizing maps (SOM) can be noted. In this article, a number of neural networks based on self-organizing maps that can be successfully used for dynamic object identification are described. Unique SOM-based mod-ular neural networks, inspired by mammal's brain cortex studies, with vector quantized associative memory and recurrent self-organizing maps as modules are presented. The structure and algorithms of learning and operation of such SOM-based neural networks are described in details. Some experimental results and comparison with some other neural networks are giv-en.

6. Computing and research algorithm for ambiguity function of broadband coherent multifrequency probe signals used for portraits of range surveillance radars [№3 за 2014 год]
Authors: Berdyshev V.P., Talalaev A.B., Platonov A.Yu., Mironov A.M.
Visitors: 21402
The work is devoted to development of an algorithm for computing and studying an ambiguity function of broadband coherent multifrequency probe signals used for portraits of range surveillance radars. To estimate the radar resolution along the radial distance, the authors has obtained a universal analytical expression for an ambiguity function of broadband coherent multifrequency sounding signals. There are two types of these signals: "open" and "serried". For this purpose the authors use a general symmetrical expression of complex mismatch functions for coherent sig-nals with united energy. The authors developed an algorithm and software for calculating an ambiguity function of multifrequency sounding sig-nals using MATLAB 6.5 (the language of engineering and mathematical calculations) to investigate the ambiguity function of a rectangular pulses set with different frequencies normalized to the maximum value of the uncertainty body. The article gives the results of the ambiguity function investigation with different parameters of multifrequency sound ing signals. For special cases this expression coincides with the known. The algorithm allows getting a the ambiguity function and its section s with different parameters of multifrequency sounding signals (pulse width, pulse repetition period in a pack, the duty cycle, the number of pulses in a small pack (one frequency), the number of small packets (number of frequencies), the change in frequency from one subpack to another subpack (from one small pack to another small pack), the pulse spectrum width ). The computing and research algorithm for the ambiguity function differs from the known because of new relations that take into account parameters variations of multifrequency sounding signals within their duration, and new numerical dete r-mination procedures for the ambiguity function that reduce computing costs. Obtained expressions can be used for modeling and evaluating the ambiguity function at different parameters of multifrequency probe signals. That signals are used for making range portraits recognition of classes and types of air objects by a decision maker when selecting radar recognition system and comparing alternatives.

7. Multidimensional data visualizing cognitive technologies for decision-making intelligent support [№3 за 2014 год]
Authors: Тsaplin V.V., Gorokhov V.L., Vitkovskiy V.V.
Visitors: 14246
The article describes principles and examples of cognitive machine graphics for developing Decision Support Systems (DSS). The cognitive machine graphics phenomenon is displaying graphic representations which create spectacular images in the human operator brain. These images stimulate its descriptive impressions, closely related to the intuitive mec h-anisms of thinking. The cognitive effect is in the fact that man perceives the moving projection as three-dimensional picture characterized by multidimensional data properties in the multidimensional space. After the multidimensional data visual as-pects study there appears the possibility for a user to paint interesting separate objects or groups of objects by standard ma-chine drawing. Next user can return to the image rotation procedure to check the intuitive user’s ideas about the clusters an d the relationship in multidimensional data. It is possible to develop the cognitive machine drawing methods in combination with other information technologies. They are the packets of digital images processing and multidimensional statistical analy-sis. The proposed method was based on the idea of possibility to assemble a cognitive image as object in hyperbolic space. In special sense it is possible to say that new kind of DSS – Cognitive Decision Support Systems (CDSS) appear.

8. A combined approach to the ship means (systems) survivability estimation at battle damage considering damage accumulation [№3 за 2014 год]
Authors: Sorokin V.E., Reut E.V.
Visitors: 9296
Means (systems) (MS) of the modern ship are complex systems. Their survivability estimation remains as one of the important scientific and technical tasks. Existing general purpose methods of complex systems survivability estimation require detailed initial data, specific knowledge and skills of users, are labour-consuming and estimate survivability during long operation. The authors consider ship MS survivability as providing a minimal necessary level of the MS functioning to perform a battle task. When performing a fighting task, the influence of various weapons causing MS elements failure is d e-termining. This influence can be considered as one-stage and clear by result and accompanying by secondary damage effects. Comparing to general purpose methods, it allows offering simplier determined approach to the ship MS survivability estima-tion. It is based on the ship electronic model integrated database that contains a structure, communications, characteristics and location of MS and other necessary data to perform calculations. This database also contains calculating results of vari-ous structure variants, location and constructive protection of MS elements using external (determined or probabilistic) battle damage models and emergency processes development. The offered approach consists in forming target logic functions in the aspect of MS survivability estimation; constructing a basic mathematical model using initial data as a focused acyclic graph with functional estimating dependences; and calculating estimating parameters. Combined using of expert systems for ana-lysing MS functions partial performance in certain situations and iterative initial data corrections (including external models operating results) allow taking into account ship MS damage accumulation and investigating both structural and functional components of survivability at the same time. The article gives a general description of the offered approach and its algo-rithms.

9. Program complex for identification of float glass spot defects [№3 за 2014 год]
Authors: Petrov D.Yu., Ivashchenko V.A., Efimov I.V., Meshalkin V.P
Visitors: 14652
The article focuses on a general interaction scheme of hard- and software of the automation control system for float glass manufacturing process. It proposes a set of programs to identify float glass spot defects using object -oriented pro-gramming environment. Mathematical algorithms of the set implement methods based on the wavelet theory of signal pro-cessing and theory of neural network for localization and identification of float glass spot defects. The article also provid es a structure of the software set to identify float glass spot defects. It describes a software embedding approach as well as the procedure of software deployment in hardware. The authors prove the use of the programs set for identification of float glass spot defects in the control system for high-quality float glass manufacturing process. The software is written in C++ using MS Visual Studio. It is run on an industrial computer based on the fail-safe dual-processor server Fastwel AdvantiX IS-4U-SYS5 with PC_WinRTXEngine real-time operation system.

10. The quality control software environment within the paperboard products manufacturing process [№3 за 2014 год]
Authors: Emelyanova, I.I., B.V. Palyukh, I.A. Egereva
Visitors: 8662
This paper presents approaches to organization of quality control system customized to the process of paperboard manufacturing, using the recycled raw fibers on the basis of the software environment. It introduces an execution algorithm of quality control system in the context of the controlling the process of the starch glue pasting, where the most common quality estimation parameters are taken into account. It explains the expedience of reducing the problem of management of starch glue pasting process to the problem of fuzzy multistage manufacturing process management, where the state evolution of each stage is characterized by a fuzzy relation. Solution of the problem is reduced to the solution of t he functional Bellman equation. For the purposes of the knowledge bases development in connection with the considered subject area the algorithm for constructing of a set of preferred states is applied. Search and choice of optimal solution of the problem as a service is performed by applying a multi-step search alternatives algorithm. Software environment of manufacturing process quality control of paperboard products allows to monitor violations of technological regulations, to identify the causes of actual quality value deviations from value standards, to search and select the optimal variant for the process supporting solution in accordance with the process requirements.

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