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Method of Algorithm Building for Modular Reducing by Irreducible Polynomial
Andrew Okhrimenko,Maria Kovtun,Tomasz Gancarczyk,Volodymyr Karpinskyi,Sergiy Gnatyuk 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
In modern cryptosystems, there are many well-proven often used constructions, such as operations in binary fields. In this paper method of algorithm construction for modular reduction by fixed irreducible polynomial (trinomial or pentanomial) was proposed. This method applying allows to get a high performance algorithm of modular reduction for specified fixed polynomial and target platform while cryptosystems develop, for example elliptic curve cryptosystem.
Bovine Serum Albumin stability in the context of biosensors
Aleksandra Kłos-Witkowska,Bakhytzhan Akhmetov,Nazym Zhumangalieva,Volodymyr Karpinskyi,Tomasz Gancarczyk 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
The paper presents the impact of external conditions such as: reduced temperature (L), microwave radiation (P), on the stability of Bovine Serum Albumin . As comparison controlled sample was kept in room condition (WP) . The protein beyond the wide application in pharmacokinetics and pharmacodynamics drug study, is also widely used in the biosensors construction. In order to study UV-Vis spectroscopy, absorption spectra was taken. The changes with time of the protein in different concentrations (0.25, 0.5, 1, 2, 3, 4) ㎎ / mL was observed. Base on the study, BSA (2mg/mL) was chosen and exposed to different factors (L, P, WP). Absorption spectra monitoring revealed protein changes with time after exposition to different factors. The results showed an increase in absorption, associated with the conformational changes of BSA with time. This effect was more visible for samples with high concentrations (4, 3, 2 ㎎ / mL) than for lower one (0, 25, 0.5, 1㎎/mL). Investigation on the protein stability influenced by external factors with time, showed tendency to maintain stability of BSA in low temperature (L) and the trend to accelerate aging of proteins under the influence of microwave radiation. The observed trend of change, under the influence of external factors was more evident with time.
On Multivariate Method of Qualitative Analysis of Hodgkin-Huxley Model with Decision Tree Induction
Vasyl Martsenyuk,Kornel Warwas,Krzysztof Augustynek,Aleksandra Kłos-Witkowska,Volodymyr Karpinskyi,Natalya Klymuk,Zoryana Mayhruk 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
This paper presents a data mining technique for qualitative analysis of Hodgkin-Huxley model of cell excitability. Such problem cannot be solved analytically. Therefore we apply Monte-Carlo techniques for the generation of model parameters, and use data mining algorithm for classification of learning tuples obtained. As a result we attain a decision tree capable of classifying the excitability depending on the relationship between initial conditions and between rate constants. Details of software development and issues of computational complexity are presented. The software includes the package of Java-classes. An example for classification of excitability of three types is presented
Kornel Warwas,Krzysztof Augustynek,Vasyl Martsenyuk,Oleksandr Korchenko,Volodymyr Karpinskyi 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
In many cases, solving optimisation problems, in particular a dynamic optimisation problem, is time-consuming. This is due to the long time of calculation of the objective function value. For example, during optimisation of the articulated vehicle it is necessary to integrate dynamic equations of motion in the whole time interval. The paper presents an application of own algorithm (EVCA) for reduction optimisation calculations time. This algorithm can be applied to any optimisation methods both stochastic and classical in order to speed up the optimization process. In this paper, articulated vehicle control task has been formulated as dynamic optimisation problem. During this process appropriate braking torques acting on wheels have been determined in order to restore stability of the vehicle. Results obtained from dynamic optimisation using EVCA algorithm have been presented and discussed.