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4th International Conference on Electrical, computer, Communications and Mechatronics Engineering, ICECCME 2024

作者： Gancheva, Veska Popov, George Nakov, Ognyan Raynova, Kamelia Popova, Antoaneta Technical University of Sofia Dept. of Programming and Computer Technologies Sofia Bulgaria Technical University of Sofia Dept. of Cybersecurity Sofia Bulgaria University of Sofia Dept. of Computer Systems Technical Sofia Bulgaria Technical University of Sofia Dept. of Information Technologies in Industry Sofia Bulgaria

ISBN: (纸本)9798350391183

Because of the increased market opening and massive data collection brought about by globalization, the need of maintaining control over customs procedures has increased. However, the integration and processing of customs data are complicated by its extreme imbalance. Finding autonomous, computationally sophisticated solutions for customs handling is therefore crucial. The study described in this paper aims to propose an artificial intelligence-based method for customs fraud detection through data analytics. A machine learning-based approach for detecting customs fraud is proposed. The research methodology includes data preprocessing, data analytics, combining results, and deriving precise solutions from results obtained. The aim is to extract meaningful information from a dataset. For the purpose of classifying customs fraud, seven algorithms for machine-learning-kNN, SGD, Constant, Logistic Regression, Random Forest, Neural Network, and Naive Bayes-Are chosen and empirically assessed. © 2024 IEEE.

关键词： Adversarial machine learning

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Customs Fraud Detection Method Based on Artificial Intelligence and Data Analytics

Customs Fraud Detection Method Based on Artificial Intellige...

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Electrical, computer, Communications and Mechatronics Engineering (ICECCME), International Conference on

作者： Veska Gancheva George Popov Ognyan Nakov Kamelia Raynova Antoaneta Popova dept. of Programming and Computer Technologies Technical University of Sofia Sofia Bulgaria dept. of Cybersecurity Technical University of Sofia Sofia Bulgaria dept. of Computer Systems Technical University of Sofia Sofia Bulgaria dept. of Information Technologies in Industry Technical University of Sofia Sofia Bulgaria

ISBN: (数字)9798350391183

ISBN: (纸本)9798350391190

关键词： Training Analytical models Logistic regression Data analysis Neural networks Data models Fraud Bayes methods Data mining Random forests

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Workload Balancing Model for Heterogeneous IoT Nodes Architectures

Workload Balancing Model for Heterogeneous IoT Nodes Archite...

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Electrical Engineering and Automatic Control (ICEEAC), International Conference on

作者： Mustafa Kh Aswad Fozia Al-Badree Beetro Ayad Ali Keshlaf Sintific commtiee Research Dept. Libyan Center for Electronic Systems Programming and Aviation Research Tripoli Libya Faculty Of Engineering University of Zawia Zawia Libya Computer Engineering and IT Dept. Faculty of Engneering Sabrahta Univeristy Sabrahta Libya

ISBN: (数字)9798350349740

ISBN: (纸本)9798350349757

Heterogeneous IoT architectures are evolving rapidly and different challenged are faced with the traditional IoT architectures including the performance time of real-time IoT application. Parallel computing programming technique could enhance the performance and efficiency for distributed systems and multicore processors as well as the IoT systems. However, parallel computing, presents certain difficulties and constraints, including synchronization, communication, security concerns, and load balancing. In this regard, a novel IoT workload balancing model for heterogeneous IoT architectures is presented in this paper. This model is intended to reduce the execution time of large systems by redistributing part of their functions to other involved IoT nodes. An experiment has been conducted to evaluate the actual real load for each IoT node and tried to rebalance the load using the proposed model. The results were encouraging as the performance time was reduced by about one third on two cores.

关键词： Program processors Computational modeling computer architecture Parallel processing programming Real-time systems Internet of Things

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WAM systems: Comparative Analysis of Information Support Quality

WAM Systems: Comparative Analysis of Information Support Qua...

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2020 IEEE International Conference on Problems of Infocommunications Science and Technology, PIC S and T 2020

作者： Obod, Ivan Svyd, Iryna Maltsev, Oleksandr Zavolodko, Ganna Leonov, Sergiy Kharkiv National University of Radio Electronics Dept. of Microprocessor Technologies and Systems Kharkiv Ukraine National Technical University khPI Dept. of Information Systems Kharkiv Ukraine National Technical University khPI Dept. of Computer Engineering and Programming Kharkiv Ukraine

ISBN: (纸本)9781728191775

The paper considers ways to improve the quality of information support for airspace control systems and air traffic control with the help of wide-area multi-position monitoring systems. A comparative analysis has shown that the accuracy of estimating air object coordinates by the wide area multilateration system under consideration is significantly higher than that provided by currently available wide area multilateration systems. It is shown that the introduction of active and passive methods for creating wide-area multi-position observation systems significantly broadens the number of available air object coordinate estimation techniques and, as a result, enhances the quality of information support by providing its users with the opportunity of choosing an optimal estimation method for various primary measurements of received signal parameters. Active wide area multilateration systems significantly expand the number of methods available for solving the problem of adequate information support to airspace control system users;use of secondary surveillance radar aircraft responders allows estimating air object coordinates by both single-position and multi-position method. © 2020 IEEE.

关键词： Air traffic control

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Speaker's Emotions Recognition Module Based on the GoogleLeNet Neural Network

Speaker's Emotions Recognition Module Based on the GoogleLeN...

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2022 International Conference on Smart Information systems and Technologies, SIST 2022

作者： Tereikovskyi, Ihor Tereikovska, Liudmyla Kryvoruchko, Olena Tereikovskyi, Oleh Tyshchenko, Dmytro Franchuk, Tamara National Technical University Of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Dept. Of System Programming And Specialized Computer Systems Kyiv Ukraine Kyiv National University Of Construction And Architecture Dept. Of Information Technology For Design And Applied Mathematics Kyiv Ukraine Kyiv National University Of Trade And Economics Dept. Of Software Engineering And Cyber Security Kyiv Ukraine National Technical University Of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Dept. Of Department Of Computer Engineering Kyiv Ukraine

ISBN: (数字)9781665467902

ISBN: (纸本)9781665467902

The article is devoted to the development of means for recognition of the emotions of the speaker, based on the neural network analysis of fixed fragments of the voice signal. The possibility of improving recognition tools through the use of a convolutional neural network of the GoogLeNet type is shown. The expediency of training the network on the examples of the TESS database is determined. A procedure for representing a voice signal in the form of a square grayscale image has been developed. Based on the use of the specified database, the modification of the GoogLeNet network was carried out. The architecture and software implementation of the recognition module have been developed. With the help of computer experiments, it has been established that after 150 epochs of training on a fairly limited training sample, the modified GoogLeNet makes it possible to achieve an accuracy of recognition of the speaker's emotions of approximately 0.97 on test examples. The obtained accuracy is comparable to the accuracy of the best modern systems of this purpose and confirms the promise of using neural network models like GoogLeNet for emotion recognition based on voice signal analysis. The need for further research aimed at reducing the resource intensity of the neural network model is shown. © 2022 IEEE.

关键词： Emotion Recognition

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Algorithmic Support for Building a Distributed IoT System in a Cloud Service

Algorithmic Support for Building a Distributed IoT System in...

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Advanced Technology (KhPIWeek), IEEE KhPI Week on

作者： Mykola Zamkovyi Svitlana Gavrylenko Kyrylo Khatsko Nataliia Khatsko dept. Information Systems and Technologies National Technical University «Kharkiv Polytechnic Institute» Kharkiv Ukraine Department of Computer Engineering and Programming National Technical University “Kharkiv Polytechnic Institute” Kharkiv Ukraine

The Internet of Things (IoT) today already connects billions of different IoT devices with the Internet. With the advent of new services and services, new challenges arise: how to make a cloud service publicly available, and reliable, how and where to store data. The article considers an example of the implementation of an IoT application with cloud components, considers the implementation of connecting IoT components to a cloud provider, and presents the IoT architecture. The focus is on the architecture and implementation of data exchange protocols, the implementation of protocols? for data collection and management of remote system components Given the large amount of data transmitted by IoT devices to the cloud, data compression and interaction with cloud services is a very relevant topic. Therefore, the article also offers recommendations for managing the traffic of IoT devices. The purpose of this article is to provide a description and algorithm for connecting IoT devices to the cloud, to bring together disparate information, and make it open and understandable to beginners and academic researchers.

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Complexity Reduced IIR Filter Design for FPGA 2

Complexity Reduced IIR Filter Design for FPGA

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2nd IEEE International Conference on System Analysis and Intelligent Computing, SAIC 2020

作者： Sergiyenko, Anatoliy Serhienko, Anastasia Igor Sikorsky Kyiv Polytechnic Institute Dept. of Computer Engineering Kyiv Ukraine Igor Sikorsky Kyiv Polytechnic Institute Dept. of System Programming and Specialized Computer Systems Kyiv Ukraine

ISBN: (纸本)9781728190822

In this paper, a method of high order IIR filter design is proposed in which the coefficients in the canonical binary number system representation are searched by the simulated annealing algorithm. The high-quality IIR filters are designed using the all-pass filter stages, methods of masking filters and multiplied delays. It was proven, that if the coefficients of the multiplierless filter have no more than three summands in their representation, then its pipelined implementation in FPGA has the highest clock frequency. The use of the VHDL language in all the steps of the filter design helps to speed-up and improve the filter optimization. © 2020 IEEE.

关键词： IIR filters

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Development of a visual programming tool called SmrAI for function testing to mitigate the shortage of programming personnel in the manufacturing

Computer Software

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computer Software 2022年第4期39卷 61-74页

作者： Sugiyama, Ko-Ichiro Okuda, Satsuki Tanabe, Tsubasa Takao, Kouji Higashi, Hirohito Tanaka, Kazuaki Dept. of Information Engineering National Institute of Technology Matsue College Japan NIPPO Co. Ltd. Japan Ruby Programming Shounendan Japan Shimane IT Open-innovation Center Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Japan

We have developed a visual programming tool called SmrAI for function testing, and investigated whether wrapping existing source code with Scratch Blocks is an effective means of mitigating the shortage of programming personnel in the manufacturing. SmrAI is based on Smalruby, which can convert Scratch Blocks into Ruby code. In addition, SmrAI introduces two new sets of Blocks that wrap existing Ruby libraries for function testing. Since existing tools and libraries were utilized, the cost of developing SmrAI was low, and there were no changes in the function testing procedure. We conducted a verification test using staff members who were familiar with the function testing process but had little or no programming experience, and confirmed that they were able to program using SmrAI and that they had confidence in its business applications. These results are expected to contribute to the diversification and increase of programming personnel responsible for function test programming. © 2022 Japan Society for Software Science and Technology. All rights reserved.

关键词： Application programs

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Impact of fluctuation interferences to the responders performance of secondary surveillance radar system

Impact of fluctuation interferences to the responders perfor...

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2018 International Conference on Information and Telecommunication Technologies and Radio Electronics, UkrMiCo 2018

作者： Svyd, I.V. Goriushkina, A.E. Zavolodko, G.E. Maltsev, O.S. Kharkiv National University of Radio Electronics KNURE Dept. Radiotechnologies Information and Communication Systems Kharkiv Ukraine National Technical University KhPI NTU KhPI Department of Computer Science and Programming Kharkiv Ukraine National Technical University KhPI NTU KhPI Department of Information Systems Kharkiv Ukraine

ISBN: (纸本)9781538652640

The principle of network construction and the principle of request signals service of Secondary surveillance radar systems predetermined the work of the respondents of the considered systems in conditions of intra-system and intentional correlated and uncorrelated interferences. The article estimates the impact of masking fluctuation interferences on the quality of the request signals detection. It is shown that the choice of time-interval codes as the request signals predetermined the low noise immunity of the considered systems when a channel is exposed by the fluctuation interference. © 2018 IEEE.

关键词： Signal detection

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Comparative analysis of signal processing methods secondary surveillance radar

Comparative analysis of signal processing methods secondary ...

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2018 International Conference on Information and Telecommunication Technologies and Radio Electronics, UkrMiCo 2018

作者： Goriushkina, A.E. Svyd, I.V. Zavolodko, G.E. Maistrenko, G.V. National Technical University KhPI NTU KhPI Department of Computer Science and Programming Kharkiv Ukraine Kharkiv National University of Radio Electronics KNURE Dept. Radiotechnologies Information and Communication Systems Kharkiv Ukraine National Technical University KhPI NTU KhPI Department of Information Systems Kharkiv Ukraine Kharkiv National University of Radio Electronics KNURE Department of Electronic Computers Kharkiv Ukraine

ISBN: (纸本)9781538652640

In the paper, based on a comparative analysis of the methods of processing time-interval codes used as secondary surveillance radar information signals consisting of a different sequence of performing joint decoding operations, selecting signals by duration and time position, it is shown that the most effective is the signal processing method in which first the signals are decoded, then the signals are selected in accordance with the duration and in the future with the selection according to the time position, which provides the lowest probability of a false alarm of the first kind. © 2018 IEEE.

关键词： Errors

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