2016, volume 20, №4

Yu Shunin^{1, 2}, D Fink², A Kiv³, L Alfonta³, A Mansharipova⁴, R Muhamediyev⁴, Yu Zhukovskii¹, T Lobanova-Shunina⁵, N Burlutskaya⁶, V Gopeyenko⁶, S Bellucci⁷
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(4) 7-17

¹Institute of Solid State Physics, University of Latvia, Kengaraga Str. 8, LV-1063 Riga, Latvia
²Departamento de Fisica, Universidad Autónoma Metropolitana-Iztapalapa, PO Box 55-534, 09340 México, D.F., México
³Ben-Gurion University, PO Box 653, Beer-Sheva 84105, Israel
⁴Almaty University, Kazakhstan
⁵Riga Technical University, Faculty of Mechanical Engineering, Transport and Aeronautics, Latvia
⁶ISMA University, 1 Lomonosova Str., Bld 6, LV-1019, Riga, Latvia
⁷INFN-Laboratori Nazionali di Frascati, Via Enrico Fermi 40, I-00044, Frascati-Rome, Italy

Our research pursues two important directions of real-time control nanosystems addressed to ecological monitoring and medical applications. We develop physical nanosensors (pressure and temperature) based on functionalized CNTs and GNRs nanostructures. The model of nanocomposite materials based on carbon nanoсluster suspension in dielectric polymer environments (epoxy resins) is regarded as a disordered system of fragments of nanocarbon inclusions with different morphologies. Using the effective media cluster approach, disordered systems theory and conductivity mechanisms analysis we have formulated the approach of conductivity calculations for carbon-based polymer nanocomposites and obtained the calibration dependences. We also develop bio-nanosensors based on polymer nanotracks with various enzymes, which provide the corresponding biocatalytic reactions and give reliably controlled ion currents. Particularly, we describe a glucose biosensor based on the enzyme glucose oxidase (GOx) covalently linked to nanopores of etched nuclear track membranes. Using simulation of chemical kinetics glucose oxidation with GOx, we have obtained theoretical calibration dependences. Our objective is to demonstrate the implementation of advanced simulation models providing a proper description of electric responses in nanosensoring systems suitable for real time control nanosystems. Comparisons with experimental calibration dependences are discussed. Prospective ways of developing the proposed physical and bio- nanosensor models and prototypes are considered.

Yersain Chinibayev, Tolganay Temirbolatova
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(4) 18-22

International IT University, Manas Str. 34A/8A, 050040 Almaty, Kazakhstan

This article presents an analysis of the existing popular libraries for the development of augmented reality applications. Based on the analysis we propose a universal technology of construction of augmented reality applications using ontology. The technology is based on the geolocation using GPS and communicates with the resource through Linked Open Data.

Ghania Khensous^{1, 2}, Belhadri Messabih², Abdellah Chouarfia², Bernard Maigret³
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(4) 23-29

¹Université des Sciences et de la Technologie d’Oran USTO-MB, Oran, Algérie
²Ecole Normale Supérieure d’Oran ENSO, Oran, Algérie
³CNRS, LORIA, Vandoeuvre-Les-Nancy, France

Metaheuristics Algorithms are widely recognized as one of the most practical approaches for Global Optimization Problems. This paper presents a comparison between two metaheuristics to optimize a set of eight standard benchmark functions. Among the most representative single solution metaheuristics, we selected Tabu Search Algorithm (TSA), to compare with a novel population-based metaheuristic: Cuckoo Search Algorithm (CSA). Empirical results reveal that the problem solving success of the TSA was better than the CSA. However, the run-time complexity for acquiring global minimizer by the Cuckoo Search was generally smaller than the Tabu Search. Besides, the hybrid TSA-Simplex Algorithm gave superior results in term of efficiency and run-time complexity compared to CSA or TSA tested alone.

Dayashankar Singh¹, J P Saini², D S Chauhan³
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(4) 30-36

¹Assistant Professor, Deptt. of CSE MMMUT, Gorakhpur (UP), India
²Professor, Deptt of ECE BIET, Jhansi, India
³Vice-Chancellor GLA University Mathura (UP), India

Feature extraction technique plays an important role in character recognition since last so many years. In this paper, two advanced feature extraction techniques namely 16-Directional Gradient Feature Extraction Technique (16-DGFET) and 24-Directional Gradient Feature Extraction Technique (24- DGFET) have been proposed and implemented. This paper demonstrates the concept of Handwritten Hindi Character Recognition (HCR), feature extraction mechanisms adopted for character recognition starting from Conventional Feature Extraction Technique (CFET), Gradient Feature Extraction Technique (GFET), and Directional Gradient Feature Extraction Technique (DGFET). In DGFET, few techniques have been initiated which involve dividing the gradient values to 8/16 directional values, these techniques attained recognition accuracy of around 94%. We have aimed at further splitting of the gradient values in 24 parts in order to find if it achieves the objective of increasing the performance of character recognition with more accurate analysis and acceptable training time. An experimental evaluation and comparative analysis have been made at the end of the paper to prove the result whether further splitting is providing a better result in comparison to 8 or 16 parts division taking in account the training time, the accuracy of recognition and performance appraisal. The network used here is Multilayer Perceptron (MLP) with Error Back Propagation (EBP) algorithm to train the network.
A sample of count 1000 has been taken for experimentation including the personnel of different age groups involving both male and female handwriting. A comparative synthesis is made for 8/16-Directional and 24-Directional input values comparing the recognition performance and training time.

Jalal K Jamalov, Daniyar B Nurseitov, Kairat A Bostanbekov
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(4) 37-43

National Open Research Laboratory of Information and Space Technologies, Kazakh National Research Technical University named after K.I. Satpayev., Satpayev Str. 22a, Almaty, Kazakhstan

The results of pollution transport simulation for the Charyn river (the Republic of Kazakhstan, Central Asia) obtained using software package BASINS 4.1 are shown in this article [1]. Modules created in the process of the study as well as the method of adaptation of the model of pollution transport are described. The calculations include the modeling of the hydrology of the river basin and the calculation of the concentration of non-point sources of pollution. The comparison with the data of natural hydrological observation post.

O Kochetkova¹, A Kaznacheeva², A Kochetkov
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(4) 44-47

¹Volgograd State Agricultural University, 26 Universitetskiy prospekt, 400002, Volgograd, Russia
²National Institute of Financial Markets and Management, 14 Bolshaya gruzinskaya Str, 123242, Moscow, Russia

The article represents the original approach to computer-aided warp knit fabrics on the base of universal algorithms and modern methodology which allows to apply the methods of projecting with the given technologies. The ontological approach is represented for development and improvement of knowledge model which provides the description of object domain of computer-aided warp knit fabrics and its formalized presentation. The elaborated software allows to perform fully the proceedings of art and technological and parametric projecting of warp knit fabrics. The performance evaluation of computer-aided warp knit fabrics on the basis of algorithmical and ontological approach is elaborated. To solve this problem we used the method of hierarchy analysis of Thomas Saati. The results of the evaluation represent that software grounded on ontological approach in totality of functional means is more effective than CAD on the base of algorithmical approach.

E Dragomeretskaya
COMPUTER MODELLING & NEW TECHNOLOGIES 2016 20(4) 48-51

South Ukrainian National Pedagogical University named after K.D. Ushinsky, 26 Staroportofrankovskaya Street, Odessa 65020, Ukraine

Texture, mechanical properties and coercive force of steel 09G2S from the column fragment of petroleum distillation after prolonged use studied. Anisotropy of mechanical properties and coercive force take place. Significant pair wise linear correlations and appropriate regression equations with coefficients reliability of approximation not less than 0.90 were found between magnitudes of the coercive force, tensile strength, yield strength, elongation and texture characteristics. Found correlations may be used for nondestructive mechanical properties control of investigated steel by means of monitoring of coercive force.