Другие журналы

scientific edition of Bauman MSTUSCIENCE & EDUCATIONBauman Moscow State Technical University. El № FS 77  48211. ISSN 19940408
Informatics, Computer Science and Management
On Collision Resistance of Generalized Cellular Automata
# 09, September 2014 DOI: 10.7463/0914.0727086 pp.194202
Analysis and Comparison of Objective Methods for Image Quality Assessment
# 09, September 2014 DOI: 10.7463/0914.0726368 pp.203215
Parametric Optimization of Control Systems Pumping Station by the Genetic Algorithms
# 08, August 2014 DOI: 10.7463/0814.0721172 pp.194205
The PARETO RATING Software System for the Paretoapproximation Quality Assessment in Multicriteria Optimization Problem
# 07, July 2014 DOI: 10.7463/0714.0720253 pp. 193214
Global Optimization Based on the Hybridization of Harmony Search and Particle Swarm Optimization Methods
# 07, July 2014 DOI: 10.7463/0714.0717653 pp. 215242
Workspace of Parallel Mechanism of Dodekapod Type
# 10, October 2014 DOI: 10.7463/1014.0712404 pp.347358
A Scale for Estimating the Ergonomics of Information Display Methods
# 05, May 2014 DOI: 10.7463/0514.0711864 The article offers a new scale for estimating the ergonomics of information display methods. Such methods are utilized in automated control and information processing systems. Special attention was paid to a smart housetype class of systems. This scale contains six points and allows one to estimate two aspects of the ergonomics i.e. usability and involvement. An empirical study to confirm reliability and high sensitivity of the proposed scale was carried out. The reliability was evaluated using a Cronbach’s coefficient while the analysisofvariance methods were used to estimate sensitivity.
Rational Orderliness of Study Course Modules
# 05, May 2014 DOI: 10.7463/0514.0710096 This paper considers the problem of appropriate orderliness of the electronic course modules. To solve this problem, we use the information that is specified by the structure of expert preferences or hypertext structure using a set of modules. For expert structure processing the theory of binary relations is applied. We propose a mathematical model to process the strongly linked fragments of expert structure. This model is based on a partition of a set of modules into tolerance classes. The task of searching an ordinal approximation of the hypertext structure is reduced to a problem of the least coverage matrix.
A Mathematical Model of Urban Distribution ElectroNetwork Considering Its Future Development
# 05, May 2014 DOI: 10.7463/0514.0709781 The paper aims to present a developed mathematical model of the distribution urban power supply network taking into account its future development. Based on this model the task is set to optimize the prospective power supply network development through the solving a problem of multicriteria structural and parametrical optimization. Expediency is proved to use a method of reduction to the onecriteria task, which represents a problem of continuousdiscreteinteger programming to solve this task. Representation of this task is proved as a problem of discrete programming based on the discrete approximation of possible regions to construct new transforming and distributional substations.
The Comparison of Methods for Genetic and Variational Genetic Programming Using a Control Synthesis Problem for the Model "PredatorVictim" as an Example
# 05, May 2014 DOI: 10.7463/0514.0709252 The paper compares two methods of symbolic regression, namely a method of genetic programming and a variational method of genetic programming. The comparison is based on the computing experiment, which solves a problem of control system synthesis for a model of nonlinear control object, describing the interaction of the two systems i.e. "predator" and "victim". For the purity of the experiment the genetic algorithms parameters in both methods were identical. For variational genetic programming there was selected a trivial basic solution in the form of the sum of input variables products for custom settings. This basic solution is always chosen with a lack of meaningful task analysis. The methods are compared both in terms of the speed for problem solving and in terms of the quality of the achieved control.
Estimate the ParetoApproximation Quality in the Problem of MultiCriteria Optimization. A Review of Programme Systems.
# 04, April 2014 DOI: 10.7463/0414.0709198 The paper makes a statement of the multicriteria optimization problem, gives a brief review of techniques to solve it using its Paretoapproximation, and presents mainly known approximation quality indicators. Principally, the paper gives a review of known programme systems orientated to the Paretoapproximation problem solution, which implement various algorithms to estimate the quality of this approximation.
Program Complex of Pretreatment Imaging for Detection and Image Recognition
# 04, April 2014 DOI: 10.7463/0414.0707888 This article describes a workstation designed to create programs of pretreatment images for subsequent detection and recognition. It considers the methods and algorithms for solving the inverse problem of image processing, which arise, for example, with aerial drones being not equipped with a gyro stabilization system of aerial cameras. These include a problem of defocus and blurring recovery in the resulting images. A developed image processing software includes: defocusing and blurring recovery (an inverse problem solution); filtration; "joining frames" for the synthesis of the frame (merging into panorama) from the fragments. The article presents the interface of software support for most of the above algorithms and the results of studies using the numerical experiment.
Solving a Molecular Docking Problem by the Modified PSO Method
# 04, April 2014 DOI: 10.7463/0414.0707258 The paper presents a canonical method of the swarm particles in two modifications to raise this method efficiency in solving multiextreme problems of high dimension optimization. The method efficiency and its abovementioned modifications have been investigated in solving the test problems of optimization. One of the offered modifications has been used to solve the 28dimensional molecular docking problem of proteases HIV1and darunaviry 3U7S as the molecules of receptor and a ligand, respectively.
Lossless Compression of Telemetry Information using Adaptive Linear Prediction
# 04, April 2014 DOI: 10.7463/0414.0707364 The paper presents main outcome of lossless compression of telemetry information study. Proposed algorithm for lossless telemetry compression is divided in two main steps: decorrelation and entropy coding. We use Normalized Least Mean square (NLMS) adaptive filter as decorrelator and experimented with two different adaptive decorrelation strategies. A comparison of the effectiveness of these different adaptive strategies are performed based on variances and entropy of the resulting prediction errors after decorrelation. In the experiments, data from automatic control system with different parameters are examined, including temperature, pressure and positioning data. These data form a stream of telemetry information conform to IRIG106 standard. The standard is widely used in the aerospace industry. Different frame structures of that standard (with or without subframes) are studied. During the experiments, several algorithms for entropy coding, including Arithmetic, Huffman and Rice codes are also studied as core algorithms at the second step of lossless compression. Comparison of algorithms’ effectiveness and recommendations for development of lossless telemetry compression systems are provided based on acquired results of experiments.
Developing Methods and Means to Improve the Sensitivity and Stability Characteristics of Microwave Sensors.
# 04, April 2014 DOI: 10.7463/0414.0704976 The existing analog circuitbased microwave sensors for car alarm systems have high power consumption and high level of intrinsic noise, causing "false" alarm of response sensors; nonstable temperature characteristics that require readjusting the sensor during the transition from the summer season to the winter one; adjusting the nonlinear characteristics and uneasy adjusting with variable resistors.The paper concerns the issues of designing the twozone digital microwave sensors. It proposes a circuitry and algorithms for digital signals processing. This allows the 68 times reduction of power consumption, cut of noise level in half thereby increasing the sensor sensitivity and implementing a remote setting of warning and alarm zones (16 levels of sensitivity) and an algorithm of selfadaption to the repetitive external actions. The paper proposes a method for generating the reference levels of digital comparators at each gradation of sensitivity to linearize the output characteristic of the sensor.
Harmonic Linearization Method in the Identification of Nonlinear Dynamical Systems
# 04, April 2014 DOI: 10.7463/0414.0704613 The article concerns the harmonic linearization method in the identification of nonlinear dynamical systems problem by the example of a system with dry friction. It describes an algorithm for the systems identification with a known transfer function for an experimental frequency hodograph that contains random measurement accuracy. The transfer function of the system was adopted as a model. The authors suggested finding a solution of the identification problem in the hodograph class, defined by system model. The unknown coefficients transfer function is searched, according to authors’ proposal, by the minimizing a proximity measure of the experimental system hodograph and the hodograph of system model. As a result, the solution of the identification problem was reduced to solving a system of linear equations. An illustrative numerical simulation for the secondorder system has shown that the accuracy of determining the values of the transfer function coefficients is comparable with the range of measurement accuracy of experimental samples of this system hodograph.
Stability of Nonlinear Repetitive Processes with Possible Failures
# 04, April 2014 DOI: 10.7463/0414.0704664 This paper considers the nonlinear discretetime repetitive processes with possible failures. For such systems a new notion of pass profile exponential stability is defined, that generalizes a well known notion of stability along the pass, used for linear processes. Based on vector Lyapunov function approach sufficient conditions of this type of stability are obtained. This stability conditions are applied to iterative learning control design of linear systems with possible transmission failures. The effectiveness of proposed algorithm is demonstrated on simplified model of vertical channel dynamics of gantry robot.
Feature analysis for closed queuing system with nonpreemptive priorities
# 03, March 2014 DOI: 10.7463/0314.0702664 This article deals with the method to determine average residence time, average waiting time and utilization in nodes of multiclass closed queuing system with nonpreemptive priorities and general distribution function of service time MrGIr1N. The method uses the embedded Markov’s chainbased design, which is linked to the regenerations points i.e. moments when the service time is over. The formula for unknown elements of transition matrix for this chain is proved. The solution for probability distribution of this chain is proved. The next step is to define the states probability of closed queuing system in a stationary mode on the basis of system of equations of global balance for such system. The formula to determine an average residence time, average waiting time and utilization of server facility is proved. Generally, the proposed method is very efficient.
A technique for choosing an option for SDH network upgrade
# 03, March 2014 DOI: 10.7463/0314.0702849 Due to sharp growth of information sources from time to time a demand arises to upgrade a network of the tributaries based on synchronous digital hierarchy (SDH) thereby increasing its capacity. At the heart of an offered upgrading technique lies the method of expert evaluations, and the developed software complex serves as the tool for obtaining characteristics of a network. The complex allows us to analyse rather large number of options, being unevident even for some technical specialists owing to rather large amount of works in a network for their introduction. Approbation of the technique and complex showed their efficiency.
A global optimization hybrid algorithm based on the algorithm of artificial immune system and swarm of particles
# 03, March 2014 DOI: 10.7463/0314.0700457 The paper proposes an AIS_PSO algorithm (Artificial Immune System_ Particle Swarm Optimization), which represents a modification of the hybrid algorithm based on the CLONALG immune algorithm and the algorithm of the particles of swarm (PSO). The modification is to replace the CLONALG algorithm with the same, but the modified algorithm. The AIS_PSO algorithm has been realized by MatLab software package. An efficiency of developed algorithm and software has been examined using Rosenbrock's, Himmelblau’s, and Rastrigin’s test functions. The AIS_PSO software allows a problem solution for the optimal control of vibration robot movement. The paper applies a known method to solve the problem of the optimal control of dynamic system based on reduction of this task to a task of nonlinear programming of high dimension. The study results have shown that a developed algorithm and software are high efficient.



