作者： Zhengbing Hu;Ihor Tereikovskyi;Oleksandr Korystin;Victor Mihaylenko;Liudmyla Tereikovska

期刊： Advances in Intelligent Systems and Computing,2021年 1247: 508-517 ISSN：2194-5357

通讯作者： Tereikovskyi, I.

作者机构： [Hu Z.] School of Educational Information Technology, Central China Normal University, Wuhan, China;[Tereikovskyi I.] National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kiev, Ukraine;[Korystin O.] Scientifically Research Institute of the Ministry of Internal Affairs, Kiev, Ukraine;[Mihaylenko V.; Tereikovska L.] Kyiv National University of Construction and Architecture, Kiev, Ukraine

通讯机构： [Tereikovskyi, I.] N;National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine

会议名称： 3rd International Conference on Computer Science, Engineering and Education Applications, ICCSEEA 2020

会议时间： 21 January 2020 through 22 January 2020

会议论文集名称： Advances in Computer Science for Engineering and Education III

关键词： Cepstral coefficients;Neural network model;Speaker recognition;Two-layer perceptron;Voice signal

摘要： The article is devoted to the problem of ensuring reliable authentication of users of information systems for various purposes. The prospects of solving this problem through the use of voice signal analysis tools to recognize the speaker’s personality are shown. The main advantages of such tools include the increased durability of the biometric access code, the use of common registration tools, as well as the possibility of implementation of hidden monitoring of the user’s identity. The relevance of research in the direction of developing low-resource means of recognizing the speaker’s personality by voice fragments of a fixed duration, using only available computing power on the spot, is substantiated. Based on the analysis of literary works, the prospects of using neural network solutions are shown, the creation of which is complicated by the existing uncertainty in choosing the type of neural network model, as well as in determining the set of input parameters. As a result of the studies, it was determined that in the task of recognizing the speaker’s identity by voice fragments of a fixed duration, it is advisable to use a type of neural network model such as a two-layer perceptron, the input parameters of which are associated with small-cepstral coefficients characterizing each of the quasi-stationary fragments of the analyzed voice signal, and the output parameters match of recognizable speakers. By computing experiments, it is proved that each of the quasistationary fragments should be described using 20 chalk-cepstral coefficients. At the same time, the recognition accuracy of the speaker using a two-layer perceptron is at the level of the best modern means of this purpose and is 8% higher than the recognition accuracy using a convolutional neural network such as LeNet. The need for further research in the direction of adapting the parameters of the two-layer perceptron to the recognition conditions under the influence of various kinds of interference was also established. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

语种： 英文

作者： Zhengbing Hu;Oleksii K. Tyshchenko

期刊： Advances in Intelligent Systems and Computing,2021年 1247: 419-428 ISSN：2194-5357

通讯作者： Tyshchenko, O.K.

作者机构： [Hu Z.] School of Educational Information Technology, Central China Normal University, 152 Louyu Road, Wuhan, 430079, China;[Tyshchenko O.K.] Institute for Research and Applications of Fuzzy Modeling, CE IT4Innovations, University of Ostrava, 30. dubna 22, Ostrava, 701 03, Czech Republic

通讯机构： [Tyshchenko, O.K.] I;Institute for Research and Applications of Fuzzy Modeling, 30. dubna 22, Czech Republic

会议名称： 3rd International Conference on Computer Science, Engineering and Education Applications, ICCSEEA 2020

会议时间： 21 January 2020 through 22 January 2020

会议论文集名称： Advances in Computer Science for Engineering and Education III

关键词： Distance measure;Ellipsoidal cluster;Fuzzifier;Fuzzy clustering;Goal function;Hypersphere;Membership function

摘要： The script is engaged in the intricacy of clustering data streams. The advised plan considers the possibilistic fuzzy clustering on the grounds of the Gustafson and Kessel techniques for the case when data should be grouped in the following manner. Another aspect should also be considered, which has to do with the fact that classes possess a random configuration (which cannot typically be classified linearly) and are mutually intersecting. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

语种： 英文

作者： He, Matthew*;Hu, Z. B.;Petoukhov, Sergey V.

期刊： Advances in Intelligent Systems and Computing,2020年902:25-36 ISSN：2194-5357

通讯作者： He, Matthew

作者机构： [He, Matthew] Nova Southeastern Univ, Halmos Coll Nat Sci & Oceanog, Ft Lauderdale, FL 33314 USA.;[Hu, Z. B.] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.;[Petoukhov, Sergey V.] Russian Acad Sci, Mech Engn Res Inst, Moscow 101830, Russia.

通讯机构： [He, Matthew] N;Nova Southeastern Univ, Halmos Coll Nat Sci & Oceanog, Ft Lauderdale, FL 33314 USA.

会议名称： 2nd International Conference of Artificial Intelligence, Medical Engineering, Education, AIMEE 2018

会议时间： 6 October 2018 through 8 October 2018

会议地点： Moscow, RUSSIA

会议主办单位： [He, Matthew] Nova Southeastern Univ, Halmos Coll Nat Sci & Oceanog, Ft Lauderdale, FL 33314 USA.^[Hu, Z. B.] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.^[Petoukhov, Sergey V.] Russian Acad Sci, Mech Engn Res Inst, Moscow 101830, Russia.

会议论文集名称： Advances in Artificial Systems for Medicine and Education II

关键词： Genetic code;Golden ratio in artificial intelligence;Hydrogen bonds

摘要： The well-known golden ratio and knowledge about genetic coding systems are useful for artificial intelligence systems, engineering, and education. The golden ratio has been recently suggested for an expansion to the field of probabilistic and artificial intelligence in Tanackov et al. (Tehni ki vjesnikč 18:641–647, 2011) [1], in brain research (Conte et al. in Chaos, Solitons Fractals 41:2790–2800, 2009; Pletzer et al. in Brain Res. 1335:91–102) [2, 3], and in human facial proportion (Mizumoto et al. in Am. J. Orthod. Dentofac. Orthop. 136:168–74; Petoukhov in Binary sub-alphabets of genetic language and problem of unification bases of biological languages. Dubna, Russia, p. 191, 2002) [4, 5]. In this paper, we consider the number of hydrogen bonds of genetic code matrix and establish a relation with golden ratio matrix. We construct three-dimensional cubes from two-dimensional matrices. Furthermore, we revealed some numerical patterns of golden ratios under basic addition operation. The relationship data about the genetic stochastic matrices/cubes associated with the genetic codes play important roles on our new understanding of genetic code systems and can lead to new effective algorithms of information processing for modeling mutual communication among different parts of the genetic ensemble. © 2020, Springer Nature Switzerland AG.

语种： 英文

作者： Hu, Zhengbing*;Beshley, Mykola;Vitalii, Vrublevskyi;Jun, Su;Volodymyr, Taras

作者机构： [Hu, Zhengbing] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Peoples R China.;[Volodymyr, Taras; Beshley, Mykola; Vitalii, Vrublevskyi] Lviv Polytech Natl Univ, Dept Telecommun, 12 Bandery Str, Lvov, Ukraine.;[Jun, Su] Hubei Univ Technol, Sch Comp Sci, Wuhan, Peoples R China.

会议名称： 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)

会议时间： FEB 25-29, 2020

会议地点： Lviv, UKRAINE

会议主办单位： [Hu, Zhengbing] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Peoples R China.^[Beshley, Mykola;Vitalii, Vrublevskyi;Volodymyr, Taras] Lviv Polytech Natl Univ, Dept Telecommun, 12 Bandery Str, Lvov, Ukraine.^[Jun, Su] Hubei Univ Technol, Sch Comp Sci, Wuhan, Peoples R China.

关键词： EIGRP;Load balancing;Routing algorithm;Traffic;Wireless Sensor Networks

摘要： Wireless Multimedia Sensor Networks (WMSNs) are increasingly penetrating into all areas of human life and activity. According to forecasts of leading experts in the field of telecommunications, sensor networks as a component of Internet of Things (IoT) in the medium term will take an important place among communication networks. QoS routing protocols for WMSN have been a growing topic of research for many years. In this paper we present a new approach called M-EIGRP (Modified-Enhanced Interior Gateway Routing Protocol) with load balancing. This modification of the routing protocol is offered for low losses in the WMSN backbone infrastructure. The new protocol also offers a new flexible, multi-limited objective function that can integrate multiple metrics, including delay, load traffic and bandwidth to determine the end-to-end path.

语种： 英文

作者： Hu, Zhengbing*;Vovkotrub, Bohdan;Buriachok, Volodymyr;Zotkin, Yevhen;Sokolov, Volodymyr

作者机构： [Hu, Zhengbing] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Peoples R China.;[Vovkotrub, Bohdan; Zotkin, Yevhen; Buriachok, Volodymyr; Sokolov, Volodymyr] Borys Grinchenko Kyiv Univ, Dept Informat & Cyber Secur, Kiev, Ukraine.

会议名称： 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)

会议时间： FEB 25-29, 2020

会议地点： Lviv, UKRAINE

会议主办单位： [Hu, Zhengbing] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Peoples R China.^[Vovkotrub, Bohdan;Buriachok, Volodymyr;Zotkin, Yevhen;Sokolov, Volodymyr] Borys Grinchenko Kyiv Univ, Dept Informat & Cyber Secur, Kiev, Ukraine.

会议论文集名称： 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)

关键词： wireless network;bandwidth;network load;IoT;Raspberry Pi;RPi

摘要： The paper presents the research and comparative analysis of the bandwidth of low-power wireless IoT devices as wireless switches. Investigated and analyzed sensors the dependence of FTP multimedia data transmission speed on wireless Wi-Fi network on the temperature of the switch processor. To get temperature indicators sufficiently built into Python libraries to read temperature files. The paper focuses on the synchronicity of measurement results records for more accurate analysis. As a result, the dependence of the measured factors was calculated using the Pearson correlation formula. These measurement factors affect the autonomy and energy consumption, which is important for IoT devices, and therefore, among the devices tested, recommendations were made regarding their choice when used depending on the conditions.

语种： 英文

作者： Hu, Zhengbing*;Kahalo, Ihor;Shley, Halyna;Diachenko, Natalia;Jun, Su

作者机构： [Hu, Zhengbing] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Peoples R China.;[Kahalo, Ihor; Shley, Halyna] Lviv Polytech Natl Univ, Dept Telecommun, 12 Bandery Str, Lvov, Ukraine.;[Diachenko, Natalia] Lviv Polytech Natl Univ, Dept Elect Power Engn & Control Syst, 12 Bandery Str, Lvov, Ukraine.;[Jun, Su] Hubei Univ Technol, Sch Comp Sci, Wuhan, Peoples R China.

会议名称： 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)

会议时间： FEB 25-29, 2020

会议地点： Lviv, UKRAINE

会议主办单位： [Hu, Zhengbing] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Peoples R China.^[Kahalo, Ihor;Shley, Halyna] Lviv Polytech Natl Univ, Dept Telecommun, 12 Bandery Str, Lvov, Ukraine.^[Diachenko, Natalia] Lviv Polytech Natl Univ, Dept Elect Power Engn & Control Syst, 12 Bandery Str, Lvov, Ukraine.^[Jun, Su] Hubei Univ Technol, Sch Comp Sci, Wuhan, Peoples R China.

关键词： Wi-Fi;Cisco 5500;IoT;Traffic;Network resources

摘要： In recent days, the wireless communication technology has become an integral part of several types of communication devices as it allows users to communicate even from remote areas. Wi-Fi is one of the main types of wireless communication used by many electronic devices such as laptops, smart phones and Internet of Things (IoT) devices. Using Wi-Fi infrastructure to provide quality multimedia services and deploying IoT services requires new approaches to network resource management. The method of adaptive size formation of a Wi-Fi network cell in the corporate infrastructure is proposed. The idea of the method is to adapt the size of a Wi-Fi cell coverage depending on the QoS requirements and load localization under conditions of insufficient bandwidth resources for network users and IoT devices. This method is implemented by writing a script file on the Cisco 5508 Wi-Fi controller that makes informed decisions on changing the cell coverage size in a centralized manner. Using this method allowed to provide high-speed wireless Internet access for users, provide a good QoS for IoT services and increase Wi-Fi network availability in high network-load conditions by effectively managing network resources depending on the actual operation scenario and requirements of individual users and IoT devices.

语种： 英文

作者： Zhengbing Hu;Ihor Tereikovskyi;Liudmyla Tereikovska;Mikola Tsiutsiura;Kostiantyn Radchenko

期刊： Advances in Intelligent Systems and Computing,2020年938:13-22 ISSN：2194-5357

通讯作者： Radchenko, K.

作者机构： [Hu Z.] School of Educational Information Technology, Central China Normal University, Wuhan, China;[Tereikovskyi I.; Radchenko K.] National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine;[Tereikovska L.; Tsiutsiura M.] Kyiv National University of Construction and Architecture, Kyiv, Ukraine

通讯机构： [Radchenko, K.] N;National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine

会议名称： 2nd International Conference on Computer Science, Engineering and Education Applications, ICCSEEA 2019

会议时间： 26 January 2019 through 27 January 2019

关键词： Forecasting;Load;Mother wavelet;Wavelet model;Web server

摘要： The study focuses on increasing the effectiveness of web server load forecasting systems, which are utilized for technical state diagnostics and ensuring data security of distributed computer systems and networks. The analysis of applied research papers has shown that a promising way of web server load forecasting systems development is improving their mathematical background by using modern frequency-time signal analysis methods based on the wavelet transformation theory. It has been established that the challenges of using the wavelet transformation theory are primarily related to the choice of basis wavelet type, parameters of which shall be adapted to the application conditions in a particular forecasting system. A new basis wavelet type selection method, which is most effective for web server load parameters forecasting, has been proposed. This method is based on a series of conditions and criteria to achieve significant effectiveness for the given forecasting task by choosing a basis wavelet type. Also, simulation modelling based on the web server request statistics collected by the authors in a Ukrainian university has shown that the method allows selecting the basis wavelet type, which ensures the approximation error level similar to that of the modern web server load forecasting systems. The possibility to avoid long-term simulation modelling typically used for basis wavelet type selection is a significant advantage of the proposed method for wavelet model development. Prospects for further research are related to the refinement of the effectiveness criteria calculation process and improvement of the proposed method by developing a basis wavelet parameters calculation procedure. © 2020, Springer Nature Switzerland AG.

语种： 英文

作者： Zhengbing Hu;Oleksii K. Tyshchenko

期刊： Advances in Intelligent Systems and Computing,2020年1127:364-374 ISSN：2194-5357

通讯作者： Tyshchenko, O.K.

作者机构： [Hu Z.] School of Educational Information Technology, Central China Normal University, 152 Louyu Road, Wuhan, 430079, China;[Tyshchenko O.K.] Institute for Research and Applications of Fuzzy Modeling, CE IT4Innovations, University of Ostrava, 30. dubna 22, Ostrava, 701 03, Czech Republic

通讯机构： [Tyshchenko, O.K.] I;Institute for Research and Applications of Fuzzy Modeling, 30. dubna 22, Czech Republic

会议名称： International Symposium on Computer Science, Digital Economy and Intelligent Systems, CSDEIS 2019

会议时间： 4 October 2019 through 6 October 2019

会议论文集名称： Advances in Intelligent Systems, Computer Science and Digital Economics

关键词： Computational intelligence;Distance measure;Fuzzifier;Fuzzy clustering;Membership function;Objective function

摘要： The manuscript gives consideration to the problem of fuzzy clustering data streams. The offered approach incorporates the concepts of the probabilistic fuzzy clustering based on the specific sort of distance metrics. The main emphasis of the study was put on the application of Mahalanobis measures in the fuzzy clustering algorithms that let design classes of a hyperellipsoidal shape which can change the orientation of their axes in a feature space. The substantial hallmark of the presented fuzzy clustering scheme is its aptitude to group data in a sequential style on the assumption of the fact that groups have an arbitrary shape (which cannot typically be classified linearly) and to be mutually intersecting. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

语种： 英文

作者： I. M. Yuriychuk;Zhengbing Hu;V. G. Deibuk

期刊： Advances in Intelligent Systems and Computing,2020年938:428-437 ISSN：2194-5357

通讯作者： Deibuk, V.G.

作者机构： [Deibuk V.G.; Yuriychuk I.M.] Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine;[Hu Z.] School of Educational Information Technology, Central China Normal University, Wuhan, China

通讯机构： [Deibuk, V.G.] Y;Yuriy Fedkovych Chernivtsi National UniversityUkraine

会议名称： 2nd International Conference on Computer Science, Engineering and Education Applications, ICCSEEA 2019

会议时间： 26 January 2019 through 27 January 2019

会议论文集名称： Advances in Computer Science for Engineering and Education II

关键词： Fidelity;Generalized Peres gate;Ising model;Quantum computing

摘要： The advantages of quantum computing may be lost due to the presence of various noises in real quantum devices. In this paper, generalized Peres gates are studied using a solid-state model of a linear chain of atoms with nuclear spin one half, which is implanted in a spin-free silicon matrix. The effect of frequency noise on the correctness of gates operation is investigated on the example of the one- and two-step algorithmic transitions. It is shown for the first time that an imbalance by the magnitude of the resonance control frequency leads to a significant decrease in the fidelity of correct gate operation on the digital states. While for the superposition input signals stabilization of the fidelity is observed to a level of 0.4–0.8 with an increase in the imbalance of the resonance frequency. A similar effect takes place at time deviation of the frequency around the resonant value. Minimum values of the frequency imbalance parameters, which ensure correctness of the generalized Peres gate operation, are proposed.

语种： 英文

作者： Zhengbing Hu;Yurii Koroliuk

期刊： Advances in Intelligent Systems and Computing,2020年 1126: 380-393 ISSN：2194-5357

通讯作者： Koroliuk, Y.

作者机构： [Hu Z.] School of Educational Information Technology, Central China Normal University, Wuhan, China;[Koroliuk Y.] Independent Researcher, Chernivtsi, Ukraine

通讯机构： [Koroliuk, Y.] I;Independent ResearcherUkraine

会议名称： 3rd International Conference of Artificial Intelligence, Medical Engineering, Education, AIMEE 2019

会议时间： 1 October 2019 through 3 October 2019

会议论文集名称： Advances in Artificial Systems for Medicine and Education III

关键词： Competency;Competency-centered curricula;Fuzzy logic;Fuzzy system;Students’ assessment

摘要： The aim of the study is to improve a system of competency’ assessment, described in the Educational Program of the specialty. This assessment is based on a hierarchical fuzzy model in the fuzzyTECH program. The adequacy of proposed elaborated model is confirmed by a statistic agreement with thesis attestation results of Master of Arts. Besides, the model showed that combining the competency in the course of writing and attestation the Master of Arts thesis shall result in synergy effects. The model input parameters consist of the data of academic assessment and the structure of the educational-professional program. These inputs simplify the process of assessing the competency while comparing with the existing approaches. Thus, stakeholders are able to assess the professional qualities of a graduate without requiring additional resources, because the model is built on the open source data such as the Educational Program of the specialty and the diploma supplement. The proposed model can assess the quality of educational-professional programs, and assist their comparative evaluation. The model’s uniqueness is that output results of competency assessment are described both by linguistic terms, more common for employers, and numeric assessment, using 100-point scale, more common for students and teaching staff. The main innovation of the model is its ability to assess adequately the obtained competency not only by the final learning outcomes, but also at any stage of the curriculum implementation. Therefore, the fuzzy model can also be utilized to predict the graduates’ final performance, which enables students to apply the model for self-assessing of their own competency in a learning process. Such self-assessment may help students promote learning scores in the courses which is relevant to determined competency. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

语种： 英文

作者： Zhengbing Hu;Ivan Dychka;Liubov Oleshchenko;Sergiy Kukharyev

期刊： Advances in Intelligent Systems and Computing,2020年938:68-77 ISSN：2194-5357

通讯作者： Oleshchenko, L.

作者机构： [Hu Z.] School of Educational Information Technology, Central China Normal University, Wuhan, China;[Kukharyev S.; Oleshchenko L.; Dychka I.] National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

通讯机构： [Oleshchenko, L.] N;National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine

会议名称： 2nd International Conference on Computer Science, Engineering and Education Applications, ICCSEEA 2019

会议时间： 26 January 2019 through 27 January 2019

关键词： Forecasting;Long Short-Term Memory;Motor transport enterprises;Neural network;Non-stationary time series;Passenger traffic;Recurrent neural networks

摘要： The article represents the analysis of neural networks that can be used to predict passenger traffic between cities. Passenger data nonstationary timetable is considered. A class of recurrent neural networks (RNN) have also been considered, among which the expediency of using the Long Short-Term Memory (LSTM) neural network for analysis and prediction of passenger traffic on the interurban route investigated is selected and substantiated. The stages of the research are represented. The data of the Ukrainian motor transport enterprise for 2007–2015 were used for the experiment. The study uses static methods for predicting the moving average, exponential smoothing of Holt-Winters, linear and logarithmic trends for verification and comparison of forecast accuracy with various methods. © 2020, Springer Nature Switzerland AG.

语种： 英文

作者： Hu, Zhengbing;Mukhin, Vadym*;Kornaga, Yaroslav;Herasymenko, Oksana;Mostoviy, Yevgenii

期刊： Journal of Network and Systems Management,2019年27(2):351-365 ISSN：1064-7570

通讯作者： Mukhin, Vadym

作者机构： [Hu, Zhengbing] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan, Hubei, Peoples R China.;[Mukhin, Vadym] Natl Tech Univ Ukraine, Dept Math Methods Syst Anal, Igor Sikorsky Kiev Polytech Inst, Kiev, Ukraine.;[Mostoviy, Yevgenii; Kornaga, Yaroslav] Natl Tech Univ Ukraine, Tech Cybernet Dept, Igor Sikorsky Kiev Polytech Inst, Kiev, Ukraine.;[Herasymenko, Oksana] Taras Shevchenko Natl Univ Kiev, Network & Internet Technol Dept, Kiev, Ukraine.

通讯机构： [Mukhin, Vadym] N;Natl Tech Univ Ukraine, Dept Math Methods Syst Anal, Igor Sikorsky Kiev Polytech Inst, Kiev, Ukraine.

关键词： System functioning;Complex analysis;Characteristics evaluation;Resources allocation

摘要： In this paper the approach and mechanisms for the complex analysis of the Distributed Computer System (DCS) parameters taking into account several criteria DCS functioning to select an efficient configuration of DCS resources are suggested. There are the analytical evaluations of DCS parameters such as: performance, security, reliability, data transfer rate, depending on the DCS dimension (number of nodes) taking into account the specific of their realization. The complex analytical model for the DCS parameters is suggested. The model allows estimate the parameters of DCS, depending on the number of nodes. The suggested model allows evaluate the impact of the number of nodes on the parameters of its functionality. In addition, this model on the design phase allows determine the DCS parameters for a certain number of DCS nodes. The suggested model allows set a certain level for the normalized DCS parameters, which should meet the all four parameters of the DCS, and to get the set of nodes, which should form the DCS cluster.

语种： 英文

作者： Zhengbing Hu;Igor Tereykovskiy;Yury Zorin;Lyudmila Tereykovska;Alibiyeva Zhibek

期刊： Advances in Intelligent Systems and Computing,2019年754:567-577 ISSN：2194-5357

通讯作者： Tereykovskiy, I.

作者机构： [Hu Z.] School of Educational Information Technology, Central China Normal University, Wuhan, China;[Tereykovskiy I.; Zorin Y.] National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine;[Tereykovska L.] Kyiv National University of Construction and Architecture, Kyiv, Ukraine;[Zhibek A.] Kazakh National Research Technical University named after K.I. Satpayev, Almaty, Kazakhstan

通讯机构： [Tereykovskiy, I.] N;National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine

关键词： Biometric authentication;Convolutional neural network;Facial geometry;Neural network model;Optimization;Recognition

摘要： The article presents development of the methodology of using a convolutional neural network for biometric authentication based on the analysis of the user face geometry. The need to create a method of the structural parameters of convolutional neural network adaptation to the expected conditions of its use in a biometric authentication system is postulated. It is proposed to adapt the convolutional neural network structural parameters based on the maximum similarity to the process of recognizing a human face image by an average user considering peculiar properties of computer input and display. A group of principles for optimization methods is formulated by combining this assumption with the generally accepted concept of a convolutional neural network constructing. The number of convolution layers should be equal to the number of the person image recognition levels by an average user. The number of feature maps in the n-th convolutional layer should be equal to the number of features at the n-th recognition level. The feature map in the n-th layer, corresponding to the j-th recognition feature, is associated only with those feature maps of the previous layer that are used to build the specified figure. The size of the convolution kernel for the n-th convolutional layer should be equal to the size of the recognizable feature on the n-th hierarchical level. Based on these principles, a method of the structural parameters optimization of a convolutional neural network has been developed. Advisability of these principles use has been proved experimentally. © Springer International Publishing AG, part of Springer Nature 2019.

语种： 英文

作者： Ye. I. Gabrousenko;A. G. Holubnychyi;Zhengbing Hu;A. G. Taranenko;F. J. Yanovsky

期刊： Telecommunications and Radio Engineering,2019年78(2):181-189 ISSN：0040-2508

通讯作者： Yanovsky, F.J.

作者机构： National Aviation University, 1 Kosmonavta Komarova Ave., Kyiv, 03058, Ukraine;School of Educational Information Technology, Central China Normal University, 152 Luoyu Road, Wuhan, Hubei, 430079, China

通讯机构： National Aviation University, 1 Kosmonavta Komarova Ave., Kyiv, Ukraine

关键词： microwave measurement;electromagnetic field attenuation;Pocklington equation;skin effect

摘要： The main approaches to estimate the electromagnetic shielding efficiency are considered in this article. We propose to estimate a shielding efficiency in terms of the depth of field penetration into the conductor material. Mathematical modeling and simulation of electromagnetic field penetration into a conductor depending on the operating frequency and properties of the conductor material is carried out, as well as experimental verification of the results obtained. Estimating the shielding efficiency by the depth of field penetration into the shield material, in contrast to known standard techniques, allows avoiding errors associated with conversion of the electric current into the field strength behind the screen. The results are useful for electromagnetic screens design for numerous applications including microelectronics. ©2019 by Begell House, Inc.

语种： 英文

作者： 胡征兵;贾琴琴

期刊： 世界教育信息,2018年31(4):31-34 ISSN：1672-3937

作者机构： 华中师范大学教育信息技术学院;[胡征兵; 贾琴琴] 华中师范大学

关键词： 来华留学生;教育技术学;教育管理

摘要： 发展留学生教育是我国综合国力、国际地位提高的重要标志,也是高等教育国际化的衡量标准之一。来华留学生教育管理则是发展留学生教育的关键,更是我国教育国际化、信息化的重要保障。文章以华中师范大学为例,探析了该校教育技术学专业来华留学生教育管理中存在的问题,并提出相关建议。

语种： 中文

作者： Hu, Zhengbing;Bodyanskiy, Yevgeniy V.;Tyshchenko, Oleksii K.*;Boiko, Olena O.

期刊： Applied Soft Computing,2018年68:710-718 ISSN：1568-4946

通讯作者： Tyshchenko, Oleksii K.

作者机构： [Hu, Zhengbing] Cent China Normal Univ, Sch Educ Informat Technol, 152 Louyu Rd, Wuhan 430079, Hubei, Peoples R China.;[Bodyanskiy, Yevgeniy V.; Tyshchenko, Oleksii K.; Boiko, Olena O.] Kharkiv Natl Univ Radio Elect, Control Syst Res Lab, 14 Nauky Ave, UA-61166 Kharkov, Ukraine.

通讯机构： [Tyshchenko, Oleksii K.] K;Kharkiv Natl Univ Radio Elect, Control Syst Res Lab, 14 Nauky Ave, UA-61166 Kharkov, Ukraine.

关键词： Evolving system;Possibilistic fuzzy clustering;Kohonen neural network;Self-learning procedure;Neighborhood function;Neuro-fuzzy network;Data stream

摘要： A task of Data Stream Fuzzy Clustering is considered when data is processed sequentially under a priori uncertainty conditions about both a number of clusters and a degree of clusters' overlapping. A modified two-layer neuro-fuzzy Kohonen network is used for solving the possibilistic fuzzy clustering tasks. This system tunes centers' coordinates and membership levels of every pattern to clusters during the self-learning procedure and automatically increases a number of neurons during data processing. A distinguishing feature of the proposed approach is its computational simplicity due to the fact that a recurrent modification of the possibilistic fuzzy clustering procedure is used for tuning the network's parameters. The proposed neuro-fuzzy system is based on the concepts of evolving systems of Computational Intelligence, the recurrent optimization, the possibilistic fuzzy clustering, and Data Stream Mining. (C) 2017 Elsevier B.V. All rights reserved.

语种： 英文

作者： Zhengbing Hu;Ivan Dychka;Yevgeniya Sulema;Yuliia Valchuk;Oksana Shkurat

期刊： International Journal of Intelligent Systems and Applications,2018年10(5):14-22 ISSN：2074-9058

作者机构： School of Educational Information Technology, Central China Normal University, Wuhan, China;National Technical University of Ukraine, 'Igor Sikorsky Kyiv Polytechnic Institute', Kyiv, Ukraine

关键词： Image feature extraction;Medical image processing

摘要： The paper presents the method of medical images similarity estimation based on feature extraction and analysis. The proposed method has been developed for and tested on rat brain histological images, however, it can be applied for other types of medical images, since the general approach is based on consideration of the shape of core components present in a given template image. The proposed method can be used in image analysis tools in a wide range of image-based medical investigations, in particular, in the brain researches. The theoretical background of the proposed method is presented in the paper. The expert evaluation approach used for assessment of the proposed method effectiveness is explained and illustrated by examples. The method of medical images similarity estimation based on feature analysis consists of several stages: colour model conversion, image normalization, anti-noise filtering, contours search, conversion, and feature analysis. The results of the proposed method algorithmic realization are demonstrated and discussed. © 2018 MECS.

语种： 英文

作者： Zhengbing Hu;Sergii V. Mashtalir;Oleksii K. Tyshchenko;Mykhailo I. Stolbovyi

期刊： International Journal of Intelligent Systems and Applications,2018年10(7):66-73 ISSN：2074-9058

作者机构： School of Educational Information Technology, Central China Normal University, Wuhan, China;Kharkiv National University of Radio Electronics, Kharkiv, Ukraine;Institute for Research and Applications of Fuzzy Modeling, CE IT4Innovations, University of Ostrava, Ostrava, Czech Republic

关键词： Clustering;Dynamic Time Warping;Proximity Measure;Segmentation;Time Series;Video Stream

摘要： The techniques of Dynamic Time Warping (DTW) have shown a great efficiency for clustering time series. On the other hand, it may lead to sufficiently high computational loads when it comes to processing long data sequences. For this reason, it may be appropriate to develop an iterative DTW procedure to be capable of shrinking time sequences. And later on, a clustering approach is proposed for the previously reduced data (by means of the iterative DTW). Experimental modeling tests were performed for proving its efficiency. © 2018 MECS.

语种： 英文

作者： Hu, Zhengbing;Petoukhov, Sergey V.;He, Matthew

期刊： Advances in Intelligent Systems and Computing,2018年658:v-vi ISSN：2194-5357

作者机构： [Hu, Zhengbing] School of Educational Information Technology, Central China Normal University, Wuhan, China;Mechanical Engineering Research Institute, Russian Academy of Sciences, Moscow, Russia;[Petoukhov, Sergey V.] Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Fort Lauderdale, FL, United States;[He, Matthew] Mechanical Engineering Research Institute, Russian Academy of Sciences, Moscow, Russian Federation

会议名称： 1st International Conference of Artificial Intelligence, Medical Engineering, and Education, AIMEE 2017

会议时间： 21 August 2017 through 23 August 2017

语种： 英文

作者： Zhengbing Hu;Yevgeniy V. Bodyanskiy;Oleksii K. Tyshchenko

期刊： Advances in Intelligent Systems and Computing,2018年 689: 186-203 ISSN：2194-5357

通讯作者： Tyshchenko, O.K.

作者机构： [Hu Z.] School of Educational Information Technology, Central China Normal University, 152 Louyu Road, Wuhan, 430079, China;[Bodyanskiy Y.V.; Tyshchenko O.K.] Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, 14 Nauky Ave., Kharkiv, 61166, Ukraine

通讯机构： [Tyshchenko, O.K.] C;Control Systems Research Laboratory, 14 Nauky Ave., Ukraine

会议名称： 12th International Scientific and Technical Conference Computer Science and Information Technologies, CSIT 2017

会议时间： 5 September 2017 through 8 September 2017

会议论文集名称： Advances in Intelligent Systems and Computing II

关键词： Adaptive neuro-fuzzy system;Cascade system;Computational intelligence;Ensemble of neurons;Learning method;Multidimensional neo-fuzzy neuron

摘要： The paper presents learning algorithms for a multidimensional adaptive growing neuro-fuzzy system with optimization of a neuron ensemble in every cascade. A building block for this architecture is a multidimensional neo-fuzzy neuron. The demonstrated system is distinguished from the well-recognized cascade systems in its ability to handle multidimensional data sequences in an online fashion, which makes it possible to treat non-stationary stochastic and chaotic data with the demanded accuracy. The most important privilege of the considered hybrid neuro-fuzzy system is its trait to accomplish a procedure of parallel computation for a data stream based on peculiar elements with upgraded approximating properties. The developed system turns out to be rather easy from the effectuation standpoint; it holds a high processing speed and approximating features. Compared to acclaimed countertypes, the developed system guarantees computational simpleness and owns both filtering and tracking aptitudes. The proposed system, which is ultimately a growing (evolving) system of computational intelligence, assures processing the incoming data in an online fashion just unlike the rest of conventional systems. © 2018, Springer International Publishing AG.

语种： 英文