Comparative Study between Discrete Stochastic Arithmetic and Floating-Point Arithmetic to Validate the Results of Fractional Order Model of Malaria Infection
S. Noeiaghdam, A. Dreglea, et al.
Mathematics 2021, 9, 1435.

Deep Reinforcement Learning Based Energy Storage Management Strategy Considering Prediction Intervals of Wind Power
Liu F., Tao Q., Yang D., Sidorov D.N.
SSRN Electronic Journal 2021

Deep Learning Methods for Classification of Road Defects
Nguyen T. Huong, Nguyen T. Long
International Journal of Artificial Intelligence (Q2) 2021, 19(1)

Error Estimation of the Homotopy Perturbation Method to Solve Second Kind Volterra Integral Equations with Piecewise Smooth Kernels: Application of the CADNA Library
Samad Noeiaghdam, Aliona Dreglea, Jihuan He, Zakieh Avazzadeh, Muhammad Suleman, Mohammad Ali Fariborzi Araghi, Denis Sidorov, and Nikolai Sidorov
Symmetry (MDPI) 2020, 12(10), 1730

Optimal Operation Control of PV-Biomass Gasifier-Diesel-Hybrid Systems using Reinforcement Learning Techniques
А. Kozlov, N. Tomin, D. Sidorov et al.
Energies (MDPI) 2020, 13(10), 2632

Mode Identification of Broad-band Oscillation Signal Based on Improved VMD Method
S. Lin, F. Liu and A. Dreglea
2020 39th Chinese Control Conference (IEEE CCC), Shenyang, China, 2020, pp. 6162-6167

A robust approach to detect gas bubbles through images analysis
H. Nguyen, L. Nguyen, D. Sidorov and A. Dreglea.
IDT (IOS Press) 2020, DOI: 10.3233/IDT-180130

Block Chain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application (review article)
Z. Zeng, Y. Li, Y. Cao, Y. Zhao, J. Zhong and D. Sidorov
Energies (MDPI) 2020, 13(4)

Basins of attraction and stability of nonlinear systems equilibrium points
N. Sidorov, D. Sidorov and Y. Li,
Differential Equations and Dynamical Systems Dec. 2019

Hybrid intelligent technique for voltage/VAR control in power systems
N.V. Tomin et al IET Generation, Transmission & Distribution Vol. 13, Issue 20, Nov. 2019

Fingerprints Classification through Image Analysis and Machine Learning Method
T.H. Nguyen, T. L. Nguyen
Algorithms. Vol. 12, Issue 12, Dec. 2019 (accepted)

Control of accuracy on Taylor-collocation method for load leveling problem
S. Noeiaghdam, D. Sidorov, I. Muftahov and A. Zhukov
Известия Иркутского государственного университета. Серия математика. 2019 (submitted)

Recurrent Neural Networks Application to Forecasting with Two Cases: Load and Pollution Q. Tao, F. Liu, and D. Sidorov Advances in Intelligent Systems and Computing, Springer 2020 (to appear) Deep Reinforcement Learning for Energy Microgrids Management Considering Flexible Energy Sources N. Tomin, A. Zhukov, and A. Domyshev FREPS 2019, Vol. 117, DOI: 10.1051/epjconf/201921701016 Prediction of the power shortage in the electric power system by means of regression analysis by machine learning methods D. Boyarkin, D. Krupenev and D. Iakubobsky International Conference of Young Scientists on Energy Systems Research 2019, E3S Web of Conferences 114, 03003 (2019), DOI: 10.1051/e3sconf/201911403003 A Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations D. Sidorov, I. Muftahov, D. Karamov, N. Tomin, D. Panasetsky, A. Dreglea, F. Liu and A. Foley IEEE Transactions on Industrial Informatics, Aug. 2019, DOI:10.1109/TII.2019.2932453 Air Pollution Forecasting using a Deep Learning Model based on 1D Convnets and Bidirectional GRU Qing Tao, Fang Liu, Yong Li and Denis Sidorov IEEE Access, Vol. 7, 2019, DOI:10.1109/ACCESS.2019.2921578 Energy balancing using charge/discharge storages control and load forecasts in a renewable-energy-based grids D. Sidorov, Q. Tao, I. Muftahov, A. Zhukov, D. Karamov, A. Dreglea and F. Liu Proc. of 38th China Control Conference, Guangzhou, China 2019 Impacts of earthquakes on energy security in the Eurasian Economic Union: resilience of the electricity transmission networks in Russia, Kazakhstan, and Kyrgyzstan Dmitrii Iakubovskii, Nadejda Komendantova, Elena Rovenskaya, Dmitry Krupenev and Denis Boyarkin Geosciences, 2019, Vol. 9, No. 1, 54. ROC analysis for classification of road defects Huong Thu Nguyen and Long The Nguyen BRAIN Journal (SCI), 2019, Vol. 10, No. 2, pp. 65-73. A uniform fault identification and location method of integrated energy systems Junjie Zhong, Yong Li, Yijia Cao, Denis Sidorov and Daniil Panasetsky Energy Systems Research, 2018, Vol. 1, No. 2, pp.14-24. Integral equations in identification of external force and heat source density dynamics A.I. Dreglea and N.A. Sidorov Buletinul Academiei de Ştiinţe a Republicii Moldova. Matematica BASM n.3(88), 2018. Irregular linear systems of PDEs with the conditions on solutions’ projections N.A. Sidorov arXiv > Mathematics > Analysis of PDEs > arXiv:1812.09694 Non-cascade speed and current control of IPMSM for electrical vehicles based on model predictive control F. Gao, F. Liu and D.N. Sidorov ISCIIA and ITCA 2018 — 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and Control Applications Machine learning in electric power systems adequacy assessment using Monte-Carlo method D.A. Boyarkin, D.S. Krupenev and D.V. Iakubovskii Bulletin of the South Ural State University, Series: Mathematical Modelling, Programming and Computer Software, 2018, 11(4), pp. 146-153, DOI:10.14529/mmp180411 Random Forest, Support Vector Regression and Gradient Boosting Methods for Ionosphere Total Electron Content Nowcasting Problem at Mid-Latitudes A. Zhukov, D. Sidorov, A. Mylnikova and Y. Yasyukevich Proceedings of 2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC) 2018. DOI: 10.23919/URSI-AT-RASC.2018.8471588 Control of accuracy on Taylor-collocation method to solve the weakly regular Volterra integral equations of the first kind by using the CESTAC method Samad Noeiaghdam, Denis Sidorov, Valery Sizikov arXiv > Mathematics > Numerical Analysis > arXiv:1811.09802 Parameter estimation of electromechanical oscillation based on a constrained EKF and C&I-PSO Y. Sun, Y. Wang, L. Bai, Y. Hu, D. Sidorov, D. Panasetsky Energies. 2018. No. 11(8), p.1-15 Комплекс интеллектуальных средств раннего выявления и предотвращения возникновения системных аварий в энергообъединенияx Н.И. Воропай, Д.Н. Ефимов, А.В. Жуков, В.Г. Курбацкий, А.Б. Осак, Д.А. Панасецкий, Д.Н. Сидоров, Н.В. Томин Автоматика и телемеханика. 2018. No. 9, 16 p. The Charge and Discharge Integrated Management Mode of EVs with Financial Incentive Mechanism S. Zhai, Y. Sun, D. Sidorov and D. Panasetsky Proceedings of IEEE PES POWERCON Conference, 6-8 Nov. 2018, Guangzhou, China, pp. 1265-1261, DOI:10.1109/POWERCON.2018.8601685 Machine Learning Methodology for Ionosphere Total Electron Content Nowcasting Aleksei Zhukov, Denis Sidorov, Anna Mylnikova, Yury Yasyukevich International Journal of Artificial Intelligence. 2018. Vol. 16, No. 1, p. 144-157. Области притяжения точек равновесия нелинейных систем: устойчивость, ветвление и разрушение решений Н.А. Сидоров, Д.Н. Сидоров, Ю. Ли Изв. Иркутского гос. ун-та. Сер. Математика, 2018. Vol. 23, c. 46-63. Численный метод решения систем нелинейных интегральных уравнений Вольтерра I рода с разрывными ядрами А. Н. Тында, Д. Н. Сидоров, И. Р. Муфтахов Журнал Средневолжского математического общества. 2018. Vol. 20, No. 1/2, c. 55-63. Robust Approach to Detection of Bubbles Based on Images Analysis Huong T. Nguyen, Long T. Nguyen, Aliona I. Dreglea International Journal of Artificial Intelligence. 2018. Vol. 16, No. 1, p. 167-177. Numeric solution of Volterra integral equations of the first kind with discontinuous kernels I. Muftahov, A. Tynda, D. Sidorov Journal of Computational and Applied Mathematics. 2017. Vol. 313, p. 119-128. Определение положения источников на черенковской камере телескопа TAIGA-IACT по снимкам с CCD-камеры Д.П. Журов, О.А. Гресс, Д.Н. Сидоров Информационные технологии в моделировании и управлении: подходы, методы, решения. Сборник научных статей I Всероссийской научной конференции : 12-14 декабря 2017 г., Тольятти, ТГУ, В двух частях. Ч.1 – Тольятти : ТГУ ПМиИ, 2017. – с.100-109. Machine Learning in Electric Power Systems Adequacy Assessment Using Monte-Carlo Method D. Boyarkin, D. Krupenev, D. Iakubovskiy, D. Sidorov Proceedings of International IEEE Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON 2017), Novosibirsk, Russia, 18-22 Sept. 2017), 201 – 205 Ensemble Methods of Classification for Power Systems Security Assessment A. Zhukov, N. Tomin, V. Kurbatsky, D. Sidorov, D. Panasetsky, A.Foley, Applied Computing and Informatics (Elsevier), 2017, 1 – 23 On-Line Power Systems Security Assessment Using Data Stream Random Forest Algorithm Modification A. Zhukov, N. Tomin, D. Sidorov, V. Kurbatsky, D. Panasetsky Innovative Computing, Optimization and Its Applications: Modelling and Simulations, v. 741, Studies in Computational Intelligence, eds. Zelinka, I., Vasant, P., Duy, V.H., Dao, T.T., Springer Ac. Publ. AG, Berlin/Heidelberg, 2018, 20-37 Российско-Китайский семинар «Математическое моделирование электроэнергетических систем на возобновляемых источниках энергии и изолированные гибридные системы электроснабжения» Д.Н. Сидоров, Ю. Ли Изв. ИГУ. Сер. математика. 2017. Т. 21, с. 121-126. Machine Learning Algorithms Application to Road Defects Classification T.H. Nguyen, T.L. Nguyen, D.N. Sidorov, A.I. Dreglea International journal on Intelligent Decision Technologies accepted (2018) Скелетные разложения линейных операторов в теории нерегулярных систем с частными производными Н.А. Сидоров, Д.Н. Сидоров Изв. Иркутского гос. ун-та. Сер. Математика, 20 (2017), 75–95 Development of Automatic Intelligent System for On-Line Voltage Security Control of Power Systems N.Tomin, A.Zhukov, V. Kurbatsky, D. Sidorov, M. Negnevitsky Proc. of 12th IEEE PowerTech Conf. 8-22 June 2017, Manchester, UK, ind. IEEE Xplore Solution of irregular systems of partial differential equations using skeleton decomposition of linear operators D.N. Sidorov, N.A. Sidorov Vestn. YuUrGU. Ser. Matem. modelirovanie i programmirovanie 10:2 (2017), 63–73 Random Forest Based Approach for Concept Drift Handling A.V. Zhukov, D.N. Sidorov and A.M. Foley Communications in Computer and Information Science J. 2017, Vol. 661, pp. 1-9. DOI: 10.1007/978-3-319-52920-27 Идентификация динамики изменения внешней силы при моделировании колебаний струны с закрепленными концами А.И.Дрегля, Н.А.Сидоров Аналитические и численные методы моделирования естественно-научных и социальных проблем : материалы XI Междунар. науч.-техн. конф. (г. Пенза, Россия, 6–9 декабря 2016 г.) / под ред. д-ра физ.-мат. наук, проф. И. В. Бойкова. – Пенза : Изд-во ПГУ, 2016. – С. 125-129 Modeling and operating characteristic analysis of MMC-SST based shipboard power system Jiamin Xiong, Yong Li, Yijia Cao, Daniil Panasetsky and Denis Sidorov 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi’an, China, 2016, pp. 28-32. doi: 10.1109/APPEEC.2016.7779464 Development of computional intelligence-based algorithms of preventing voltage collapse in power systems with a complex multi-loop structure N. Voropai, N. Tomin, V. Kurbatsky, D. Panasetsky, D. Sidorov and A. Zhukov 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi’an, China, 2016, pp. 1-5. doi: 10.1109/APPEEC.2016.7827553 Decentralized multi-agent algorithm for voltage control D. Panasetsky, N. Tomin, D. Sidorov, V. Kurbatsky and A. Osak 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi’an, China, 2016, pp. 852-856. doi: 10.1109/APPEEC.2016.7779615 Short-term wind power forecasting based on T-S fuzzy model Fang Liu, Ranran Li, Yong Li, Yijia Cao, Daniil Panasetsky and Denis Sidorov 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi’an, China, 2016, pp. 414-418. doi: 10.1109/APPEEC.2016.7779537 Nonclassic boundary value problems in the theory of irregular systems of equations with partial derivatives N.A. Sidorov and D.N. Sidorov arXiv (Analysis of PDEs Subj.) 2016, arXiv:1610.02673 [math.AP] A Combined Work Optimization Technology under Resource Constraints with an Application to Road Repair A.A. Lempert, D.N. Sidorov, A.V. Zhukov and G.L. Nguyen Automation and Remote Control (Springer) 2016, Vol. 77, No. 11, pp.1883-1893. A Robust Approach for Road Pavement Defects Detection & Classification Huong Thu Nguyen, Long Nguyen, Denis Sidorov Journal of Computational and Engineering Mathematics 2016, Vol. 3, No. 3. DOI: 10.14529/jcem160305 A modular multilevel converter type solid state transformer with internal model control method Yong Li, Jiye Han, Yijia Cao, Yunxuan Li, Jiamin Xiong, Denis Sidorov, Daniil Panasetsky International Journal of Electrical Power & Energy Systems, 2017, Vol. 85, 153–163 DOI: 10.1016/j.ijepes.2016.09.001 A Controllably Inductive Filtering Method with Transformer-Integrated Linear Reactor for Power Quality Improvement of Shipboard Power System Y. Li, Y. Peng, D. Sidorov, D. Panasetsky, Ch. Liang, L. Luo and Y. Cao. IEEE Transaction on Power Delivery, 2016, Issue 99, DOI: 10.1109/TPWRD.2016.2574316 О регуляризации по Лаврентьеву интегральных уравнений первого рода в пространстве непрерывных функций И.Р. Муфтахов, Д.Н. Сидоров, Н.А. Сидоров Известия Иркутского государственного университета, Серия «Математика», т.15, с.62-77. (2016) Generalized quadrature for solving singular integral equations of Abel type in application to infrared tomography Valery Sizikov, Denis Sidorov Applied Numerical Mathematics, Volume 106, August 2016, Pages 69-78 (2016) A Controllably Inductive Filtering Method with Transformer-Integrated Linear Reactor for Power Quality Improvement of Shipboard Power System Y. Li, Y. Peng, D. Sidorov, D. Panasetsky, Ch. Liang, L. Luo and Y. Cao Submitted to IEEE Transaction on Power Delivery (2016) О роли уравнений Вольтерра в обратной задаче теплопроводности с нелокальным граничным условием И.Р. Муфтахов, Д.Н. Сидоров, А.И. Дрегля. Математическое и компьютерное моделирование естественно-научных и социальных проблем материалы X Международной научно-технической конференции молодых специалистов, аспирантов и студентов. Ред. И. В. Бойков. 2016. С. 15-19. DOI: 10.13140/RG.2.1.3897.6888. On road defects detection and classification Thu Huong Nguyen and Aleksei Zhukov Presented to 5th AIST Conference (2016) Random Forest Based Approach for Concept Drift Handling Aleksei Zhukov, Denis Sidorov, Aoife Foley, and Adele Marshall Submitted to 5th AIST Conference (2016) arXiv Version Solvability and Numerical Solutions of Systems of Nonlinear Volterra Integral Equations of 1st kind with Piecewise Continuous Kernels Denis Sidorov, Ildar Muftahov Vestnik YuUrGU. Ser. Mat. Model. Progr. DOI: 10.13140/RG.2.1.4942.3447 (2016) Ensemble Methods of Classification for Power Systems Security Assessment Alexei Zhukov, Victor Kurbatsky, Nikita Tomin, Denis Sidorov, Daniil Panasetsky, Aoife Foley arXiv: Artificial Intelligence (cs.AI); Learning (cs.LG), arXiv:1601.01675 [cs.AI] (2016) Perturbation Theory and the Banach – Steinhaus Theorem for Regularization of the Linear Equations of the First Kind N. A. Sidorov, D. N. Sidorov, I. R. Muftahov The Bul. of ISU. Ser. Maths., Vol. 14. P. 82—99 (2015) Numerical Solution of Volterra Integral Equations of the First Kind with Discontinuous Kernels I. Muftahov, A. Tynda, D. Sidorov arXiv: Numerical Analysis (math.NA), arXiv:1507.06484 [math.NA] (2015) Generalized Quadrature for Solving Singular Integral Equations of Abel Type in Application to Infrared Tomography Valery Sizikov, Denis Sidorov arXiv: Numerical Analysis (math.NA), arXiv:1509.02586 [math.NA] (2015) Random Forest Based Model for Preventing Large-Scale Emergencies in Power Systems N. Tomin, A. Zhukov, D. Sidorov, V. Kurbatsky, D. Panasetsky, V. Spiryaev Intl. Journal of Artificial Intelligence, 13:1 (2015),  221–228 On Perturbation Method for the First Kind Equations: Regularization & Application I. R. Muftahov, D. N. Sidorov, N. A. Sidorov Vestnik YuUrGU. Ser. Mat. Model. Progr., 8:2 (2015),  69–80 Forecasting Nonstationary Time Series Based on Hilbert–Huang Transform and Machine Learning V. G. Kurbatsky, D. N. Sidorov, V. A. Spiryaev, N. V. Tomin Avtomat. i Telemekh., 2014, no. 5,  143–158 On one Integral Volterra Model of Developing Dynamical Systems E. V. Markova, D. N. Sidorov Automation and Remote Control, 2014, no. 3,  3–13 Power System Parameters Forecasting Using Hilbert–Huang Transform and Machine Learning V. G. Kurbatsky, V. A. Spiryaev, N. V. Tomin, P. Leahy, D. N. Sidorov, A. V. Zhukov IIGU Ser. Matematika, 9 (2014),  75–90 On the Solvability of a Class of Volterra Operator Equations of the First Kind with Piecewise Continuous Kernels N. A. Sidorov, D. N. Sidorov Mat. Zametki, 96:5 (2014),  773–789 A Hybrid Wind Speed Forecasting Strategy Based on Hilbert-Huang Transform and Machine Learning Algorithms N. Tomin, D. Sidorov, V. Kurbatsky, V. Spiryaev, A. Zhukov, P. Leahy  Power System Technology (POWERCON), 2014 IEEE International Conference on, vol. 1 (2014), 2980–2986 Numerical Solution of Volterra Integral Equations of the First Kind with Piecewise Continuous Kernel D. N. Sidorov, A. N. Tynda, I. R. Muftahov Vestnik YuUrGU. Ser. Mat. Model. Progr., 7:3 (2014),  107–115 Generalized solution to the Volterra equations with piecewise continuous kernels D.N. Sidorov    Bull. Malays. Math. Sci. Soc.(2), 2014 Solvability of systems of integral Volterra equations of the first kind with piecewise continuous kernels D. N. Sidorov Izv. Vyssh. Uchebn. Zaved. Mat., 2013, no. 1,  62–72 Volterra Integral Equations of the First Kind with Piecewise Continuous Kernels in the Theory of Evolving Systems Modeling E. V. Markova, D. N. Sidorov IIGU Ser. Matematika, 5:2 (2012),  31–45 Solution to the Volterra equations of the 1st kind with discontinuous kernels in the class of generalized functions D. N. Sidorov IIGU Ser. Matematika, 5:1 (2012),  80–95 Successive approximations to solutions of nonlinear equations with vector parameter in the irregular case N. A. Sidorov, D. N. Sidorov, R. Yu. Leont’ev Sib. Zh. Ind. Mat., 15:1 (2012),  132–137 On successive approximations of solutions of a singular Cauchy problem N. A. Sidorov, D. N. Sidorov Trudy Inst. Mat. i Mekh. UrO RAN, 18:2 (2012),  238–244 Solution to the Volterra Integral Equations of the First Kind with Discontinuous Kernels D. N. Sidorov Vestnik YuUrGU. Ser. Mat. Model. Progr., 2012, no. 12,  44–52 On the neural network approach for forecasting of nonstationary time series on the basis of the Hilbert–Huang transform V. G. Kurbatskii, D. N. Sidorov, V. A. Spiryaev, N. V. Tomin Avtomat. i Telemekh., 2011, no. 7,  58–68 Generalized solutions in the problem of dynamical systems modeling by Volterra polynomials D. N. Sidorov, N. A. Sidorov Avtomat. i Telemekh., 2011, no. 6,  127–132 Hybrid model for short-term forecasting in electric power system V. Kurbatsky, D. Sidorov, N. Tomin, V. Spiryaev International Journal of Machine Learning and Computing 1 (2), 2011, 138-147 Method of monotone majorants of the theory of nonlinear Volterra equations D. N. Sidorov IIGU Ser. Matematika, 4:1 (2011),  109–117 Non-stationary Autoregressive Model for On-line Detection of Inter-area Oscillations in Power Systems V. Smidl, D. Sidorov, D. Panasetsky IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), IEEE, NY, 2010 Small solutions of nonlinear differential equations near branching points N. A. Sidorov, D. N. Sidorov Izv. Vyssh. Uchebn. Zaved. Mat., 2011, no. 5,  53–61 Branching solutions of nonlinear differential equations of n-th order N. A. Sidorov, D. N. Sidorov IIGU Ser. Matematika, 3:1 (2010),  92–103 Solving the Hammerstein integral equation in the irregular case by successive approximations N. A. Sidorov, D. N. Sidorov Sibirsk. Mat. Zh., 51:2 (2010),  404–409 Melt spinning process modeling: existence of nonlinear PDE systems’ analytical solution A. Dreglea, D.N. Sidorov Thermal Processes in Engineering 11, (2009), 500-512 Generalized solutions to integral equations in the problem of identification of nonlinear dynamic models N. A. Sidorov, D. N. Sidorov Avtomat. i Telemekh., (2009), no. 4,  41–47 Automatic defects classification with p-median clustering technique D. Sidorov,  W. S. Wei, I. Vasilyev, S. Salerno Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on (2008), 775 — 780 Cluster analysis application to automatic flaw detection I. L. Vasiliev, D. N. Sidorov Probl. Upr., 2007, no. 4,  36–42 Generalized solutions of Volterra integral equations of the first kind M. V. Falaleev, N. A. Sidorov, D. N. Sidorov Lobachevskii J. Math., 20 (2005),  47–57 Removing Moiré from Degraded Video Archives D. N. Sidorov, A. C. Kokaram In XIth European Conference in Signal Processing (EUSIPCO 2002). September, Vol. 1, 24-26 Modelling of nonlinear dynamic systems by Volterra series approach method: Identification and applications. D. N. Sidorov.  In the monograph Attractors, signals, and synergetics, edt. W. Klonowski, Pabst. Sci., (2002), 276–281 Suppression of Moiré Patterns via Spectral Analysis D. N. Sidorov, A. C. Kokaram In SPIE Proc. Visual Communications and Image Processing., Vol. 4671 (2002), 895–906 Modeling of Nonlinear Time-dependent Dynamical Systems by Volterra Series: Identification and Applications D. N. Sidorov Sib. Zh. Ind. Mat., 3:1 (2000),  182–194 Наши статьи индексированы   , , , , . Добавить комментарий Отменить ответ Ваш e-mail не будет опубликован. Обязательные поля помечены * Комментарий Имя * E-mail * Сайт × Поиск по сайту Найти: