Begell House Inc.
Journal of Automation and Information Sciences
JAI(S)
1064-2315
44
5
2012
Symmetry of the Proteins Synthesized by DNA Strands
1-9
10.1615/JAutomatInfScien.v44.i5.10
Ivan V.
Sergienko
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kyiv, Ukraine
Anatoliy M.
Gupal
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine
Alexey V.
Ostrovskiy
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev
proteins synthesized by DNA strands
symmetry
the simple and complicate structure of a genome
hypothesis about the symmetry
computing experiments
For organisms with a simple structure of the genome it is confirmed experimentally that the symmetry of the sequence of bases in DNA implies the symmetry of the amino acids in proteins, synthesized by DNA strands.
Identification of Systems Parameters of Autoregression Equations for Known Covariance Matrixes
10-27
10.1615/JAutomatInfScien.v44.i5.20
Alexander P.
Sarychev
Institute of Technical Mechanics of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Dnepropetrovsk, Ukraine
estimation of parameters
systems of autoregression equations
statistically dependent input variables
model of functioning
observation model
covariance matrixes
additive random components
iteration procedure
method of statistical testing.
The problem of estimation of parameters of system of autoregression equations, in which the sets of input variables can be various and random additive components in output variables can be statistically dependent both in model of functioning and in observation model is under consideration. We assume that covariance matrixes of additive random components in functioning and observation models are specified. Iteration procedure of estimation of coefficients, which is investigated by the method of statistical testing, is proposed.
Slow and Fast Motion Control Coordination in Multirate Systems
28-37
10.1615/JAutomatInfScien.v44.i5.30
Victor D.
Romanenko
Educational-Scientific Complex of Institute
for Applied System Analysis of National
Technical University of Ukraine "Igor
Sikorsky Kiev Polytechnic Institute", Kiev
Yuriy L.
Milyavskiy
National Technical University of Ukraine
"Igor Sikorsky Kiev Polytechnic Institute",
Kiev
problem of stabilization and coordination
slow and fast varying components
vector of output coordinates
two scales of time
slow-acting and fast-acting controllers
multirate discretization
relation of slow and
The problem of stabilization and coordination of slow and fast varying components of the vector of output coordinates in systems, which operate in two scales of time, is stated and solved. Slow-acting and fast-acting controllers were synthesized with multirate discretization while relation of slow and fast motions is satisfied.
Model of Dynamics and Control of Tracking-Searching Head, Placed on a Moving Object
38-47
10.1615/JAutomatInfScien.v44.i5.40
I.
Krzysztofik
Kielce University of Technology (Poland)
Z.
Koruba
Kielce University of Technology (Poland)
mathematical model
dynamics
control algorithm
tracking- searching head
moving object
numerical analysis
kinematic excitations.
We stated mathematical model of dynamics and control algorithm of tracking-searching head, placed on a ground moving object. Numerical analysis was performed for investigation of head dynamics under effect of kinematic excitations from moving object.
Approximation of Discontinuous Function of Two Variables by Approximating Discontinuous Bilinear Spline Using the Least Squares Method (Rectangular Elements)
48-56
10.1615/JAutomatInfScien.v44.i5.50
Oleg N.
Lytvyn
Ukrainian Engineering and Pedagogical Academy, Kharkov
Yu.I.
Pershina
Ukrainian Engineering and Pedagogical Academy, Kharkov
discontinuous bilinear approximating spline
least squares method
approximation of discontinuous function of two variables
definition domain
rectangular elements.
We constructed discontinuous bilinear approximating spline, which coefficients are determined by the least squares method, for approximation of discontinuous function of two variables with definition domain, which can be partitioned into rectangular elements. The constructed discontinuous splines include, in particular, classical continuous splines of the first degree.
Simulation of Automata over a Finite Ring by the Automata with a Finite Memory
57-66
10.1615/JAutomatInfScien.v44.i5.60
V.V.
Skobelev
Institute of Applied Mathematics and Mechanics, National Academy of Sciences of Ukraine, Donetsk
automata
parametric identification
finite commutative associative ring with unity
asymptotically exact simulation models.
An approach to solving the problem of parametric identification of the automaton, determined by the system of equations with parameters over a finite commutative associative ring with unit, based on the use of automata with a finite memory, is studied. The accuracy of identification on the suffixes of input words, obtained by dropping the prefixes of a fixed length, is characterized. The class of asymptotically exact simulation models is picked out and characterized.
Efficiency Assessment of Different Approaches to Crop Classification Based on Satellite and Ground Observations
67-80
10.1615/JAutomatInfScien.v44.i5.70
Javier
Gallego
European Commission Joint Research Center (JRC), Ispra (Italy)
Alexey N.
Kravchenko
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev
Nataliya N.
Kussul
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev, Ukraine
Sergey V.
Skakun
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine
Andrey Yu.
Shelestov
National University of Life and Environmental Sciences of Ukraine, Kiev
Yulia A.
Grypych
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev
crop classification
satellite and ground observations
efficiency assessment
different approaches to crop classification
different data levels
extremely large data.
A problem of crop plants classification for three regions of Ukraine with an area of 78.500 km2 is considered. Classification is carried out using not a single satellite but a time series of satellite images. The used satellite data are characterized by different spatial resolution and temporal characteristics. By example of this problem we assessed the efficiency of different classification algorithms (neural networks, decision trees and support vector machines) for substantially different data levels (of training and testing samples) both for extremely large data sets and under the condition of their lack (absence).