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6th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2024

作者： Ali, Salman Hamed, Ahmad Spasenov, Alexey Y. Berezkin, Dmitry V. Hamdoun, Omar Bauman Moscow State Technical University 'BMSTU' Computer-aided Design Systems Department Moscow Russia Bauman Moscow State Technical University 'BMSTU' Computer Systems and Networks Department Moscow Russia Higher Institute for Applied Sciences and Technology Informatics Department Damascus Syria

ISBN: (纸本)9798350382891

The growing dependence on personal vehicles has intensified challenges in traffic management, violation monitoring, and locating stolen cars. Addressing these issues, this study introduces a real-time, smart system for detecting and recognizing Syrian car license plates using surveillance camera image processing. The system is built on a decentralized architecture with edge computers, notably the Khadas Vim3 equipped with Neural Processing Units (NPUs). It utilizes two YoloV4-tiny networks trained on a dataset of over 1100 images of Syrian license plate. The first network detects cars and plates with high accuracy, while the second recognizes numbers on the plates with 87% accuracy. Adhering to Internet of Things (IoT) principles, the system processes up to 16 frames per second for detection and 8 frames per second for broadcasting results, maintaining uninterrupted operation even if an edge computer is offline, thereby providing a consistent and efficient solution for traffic management challenges. © 2024 IEEE.

关键词： License plates (automobile)

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Discrete Dynamics of Extremely Multistable Piecewise Chaotic System

Discrete Dynamics of Extremely Multistable Piecewise Chaotic...

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2023 Seminar on Information Computing and Processing, ICP 2023

作者： Vybornov, Nikita A. Rybin, Vyacheslav G. Wafubwa, Jeff L. Kamal, Owais St. Petersburg State University of Aerospace Instrumentation 'SUAI' Department of Computing Systems and Networks Saint Petersburg Russia St. Petersburg Electrotechnical University 'LETI' Youth Research Institute Saint Petersburg Russia St. Petersburg Electrotechnical University 'LETI' Department of Computer-Aided Design Saint Petersburg Russia

ISBN: (纸本)9798350369830

In this paper we consider the discretization effects appearing in discrete models of the extremely multistable system while simulated by various numerical methods. In our study, we investigate the following set of methods: explicit, implicit, and semi-implicit Euler methods, composition diagonally implicit (CD) methods, explicit and implicit midpoint integrators. We use bifurcation diagrams for highlighting the features of dynamics under investigation introduced by various numerical methods. Significant discrepancies between the nonlinear behavior of discrete models obtained by different integration operators are observed and explained. © 2023 IEEE.

关键词： Numerical methods

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Software Complex and Mathematical Models for Technological design of Ozone-safe Chladones Synthesis Processes

Software Complex and Mathematical Models for Technological D...

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International Conference on Control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Tamara Balabekovna Chistyakova Inna Vasilievna Novozhilova Dmitriy Vsevolodovich Doctorov Anastasia Valerievna Egorova Olga Evgenievna Bezdudnaya Computer-Aided Design and Control Systems Department World-class Laboratory Saint-Petersburg State Institute of Technology Saint-Petersburg Russia Russian Research Center Applied Chemistry (GIPH) JSC Design Institute Saint-Petersburg Russia World-class Laboratory Saint-Petersburg State Institute of Technology Saint-Petersburg Russia Computer-Aided Design and Control Systems Department Saint-Petersburg State Institute of Technology Saint-Petersburg Russia

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

The functional structure of the problem-oriented software complex for solving the problem of designing a technological scheme for the multi-product processes for the synthesis of ozone-safe chladones is presented in the article. The inclusion of a customizable relational database of chladone characteristics in the software complex allows selecting equipment (working volumes of reactors) to form a production flow chart based on specified criteria (productivity, energy consumption, output concentrations of the target and by-products, etc.). The mathematical models library is the basis of the software complex. Mathematical models allow performing verification calculations of various reactors for the synthesis of a wide range of chladones in accordance with the technical specification. The advantage of the software complex is the ability to analyze the effect of contact time and process temperature on the output concentrations of by-products and target products with different compositions of the initial reaction mixture. The use of the software complex allows increasing the efficiency of designing chladones synthesis processes by reducing the time spent on selecting the hardware design of processes that ensure high conversion of raw materials and the required selectivity of processes for the target component.

关键词： Productivity Relational databases Software Mathematical models Raw materials Libraries Hardware Energy efficiency Kinetic theory Inductors

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Decentralized Edge-AI System for Real-Time Syrian License Plate Recognition Using Khadas Vim3

Decentralized Edge-AI System for Real-Time Syrian License Pl...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Salman Ali Ahmad Hamed Alexey Y. Spasenov Dmitry V. Berezkin Omar Hamdoun Computer-aided Design Systems Department Bauman Moscow State Technical University “BMSTU” Moscow Russian Federation Computer systems and networks Department Bauman Moscow State Technical University “BMSTU” Moscow Russian Federation Informatics Department Higher Institute for Applied Sciences and Technology Damascus Syria

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CNsum:Automatic Summarization for Chinese News Text

arXiv

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arXiv 2025年

作者： Zhao, Yu Huang, Songping Zhou, Dongsheng Ding, Zhaoyun Wang, Fei Nian, Aixin Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Changsha410000 China National and Local Joint Engineering Laboratory of Computer Aided Design School of Software Engineering Dalian University Dalian116000 China

Obtaining valuable information from massive data efficiently has become our research goal in the era of Big Data. Text summarization technology has been continuously developed to meet this demand. Recent work has also shown that transformer-based pre-trained language models have achieved great success on various tasks in Natural Language Processing (NLP). Aiming at the problem of Chinese news text summary generation and the application of Transformer structure on Chinese, this paper proposes a Chinese news text summarization model (CNsum) based on Transformer structure, and tests it on Chinese datasets such as THUCNews. The results of the conducted experiments show that CNsum achieves better ROUGE score than the baseline models, which verifies the outperformance of the model. © 2025, CC BY.

关键词： Big data

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Exploring Multimodal Data Approach in Natural Language Processing Based on Speech Recognition Algorithms

Exploring Multimodal Data Approach in Natural Language Proce...

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International Conference on CAD systems in Microelectronics (CADSM)

作者： Basystiuk Oleh Farmaha Ihor Rybchak Zoriana Artificial Intelligence Department Lviv Polytechnic National University Lviv Ukraine Department of Computer-Aided Design Lviv Polytechnic National University Lviv Ukraine Information Systems and Networks Department Lviv Polytechnic National University Lviv Ukraine

Speech-to-text systems work as an interpreter today. Since each domain has its own terminology and constraints, its effectiveness depends on the language's capacity to comprehend grammar, spot patterns, and relate to the intended domain frequently. The primary aspect units in audio-to-text conversion are complete sentences or phraseological units that explain the overall idea of the process rather than a single word.

关键词： Solid modeling Sentiment analysis Terminology Software algorithms Speech recognition Feature extraction Software

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Enabling Real-time Computing and Transmission Services in Large-Scale LEO Satellite networks

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IEEE Transactions on Vehicular Technology 2025年

作者： Guo, Binquan Zhang, Zhou Atapattu, Saman Pan, Miao Yan, Ye Xiong, Zehui Li, Hongyan Xidian University State Key Laboratory of Integrated Services Networks Xi'an710071 China Tianjin300457 China Singapore University of Technology and Design Pillar of Information Systems Technology and Design 487372 Singapore Hunan University College of Computer Science and Electronic Engineering Changsha410012 China University School of Engineering MelbourneVIC3000 Australia University of Houston Department of Electrical and Computer Engineering HoustonTX77204 United States Tianjin Artificial Intelligence Innovation Center Tianjin300387 China

Enhanced by onboard computing resources and inter-satellite links (ISLs), large-scale satellite networks (SNs) can supplement terrestrial networks, facilitating real-time edge computing and transmission in remote areas at low latency. This capability benefits applications such as real-time remote object tracking, vehicular edge computing, and environmental monitoring. However, different from terrestrial vehicular networks, satellite mobility and the intermittent nature of ISLs often render many computing satellites inaccessible, necessitating efficient scheduling scheme for joint computing and communication resource allocation. To meet this requirement, we investigate joint computing and transmission strategy for real-time computing applications over SNs to reduce end-to-end delays. We formulate the real-time computing and transmission problem over time-varying SNs as an integer linear programming problem. The mathematical optimization method has an exponential time complexity of O(2|L⫟| . (4 |V⫟| + 4∣ L⫟|)2|L∣) in the worst case, which grows rapidly with the growth of network sizes. Here, |V⫟| and |L⫟| denote the number of nodes and links, respectively, within the time window {\tau }. Resorting to the designed k-shortest path-based method yields a worst-case complexity of O(|V⫟|! . |V⫟|3). While efficient under common scenarios, its running time is still relatively unstable and may become tens of times longer when computing resources become scarce. To enhance efficiency, we further design a graph-based algorithm that leverages the solution space's unique structure, thereby achieving optimal solutions with polynomial time complexity O(3|L⫟| + (2\log |V⫟|+1) |V⫟|). Extensive evaluations conducted on the world's largest Starlink system validate the efficacy of the designed methods and highlight their potential synergy. © 1967-2012 IEEE.

关键词： Satellite links

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Discrete Dynamics of Extremely Multistable Piecewise Chaotic System

Discrete Dynamics of Extremely Multistable Piecewise Chaotic...

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Information Computing and Processing (ICP), Seminar on

作者： Nikita A. Vybornov Vyacheslav G. Rybin Jeff L. Wafubwa Owais Kamal Department of Computing Systems and Networks Instrumentation “SUAI” St. Petersburg State University of Aerospace Saint Petersburg Russia Youth Research Institute St. Petersburg Electrotechnical University “LETI” Saint Petersburg Russia Department of Computer-Aided Design St. Petersburg Electrotechnical University “LETI” Saint Petersburg Russia

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Expert group decision-making in corporate identity restyling

Expert group decision-making in corporate identity restyling

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International computer Sciences and Information Technologies (CSIT)

作者： Tetiana Shestakevych Mykola Logoyda Uliana Marikutsa Information systems and networks department Lviv Polytechnic National University Lviv Ukraine Department of Publishing Information Technologies Lviv Polytechnic National University Lviv Ukraine Department of Computer-Aided Design Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9798350334326

Although the scientific event organization in Ukraine in 2022 as a reality has guidance on how to perform when the rocket strike alarm, the CSIT organizing committee does its best to support our scientists at risk. To draw even more attention, the conference organization committee took an opportunity to improve the overall style of the conference. First, we began by identifying a set of tools for organizing and supporting the conference, which are or can be carriers of the visual components of the corporate style of the conference. From them, relevant corporate identity attributes were selected for the conference taking place in online mode. Among the developed series of the visual components of the conference, identity elements were chosen that will determine the general stylistics. The difficulty in deciding on corporate identity attributes is many experts, i.e., participants of the organizational and program committees of the conference, which led to the use of a group expert approach.

关键词： Visualization Rockets Decision making Organizations Task analysis Information technology

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Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models

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IEEE Transactions on Vehicular Technology 2025年

作者： Liu, Chuanhong Guo, Caili Yang, Yang Chen, Mingzhe Quek, Tony Q. S. Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL United States Singapore University of Technology and Design Dept. of Information Systems Technology and Design 487372 Singapore

Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial computational demands of LAI models pose significant challenges for real-time communication scenarios. To address this, this paper proposes utilizing knowledge distillation (KD) techniques to extract and condense knowledge from LAI models, effectively reducing model complexity and computation latency. Nevertheless, the inherent complexity of LAI models leads to prolonged inference times during distillation, while their lack of channel awareness compromises the distillation performance. These limitations make standard KD methods unsuitable for task-oriented semantic communication scenarios. To address these issues, we propose a fast distillation method featuring a pre-stored compression mechanism that eliminates the need for repetitive inference, significantly improving efficiency. Furthermore, a channel adaptive module is incorporated to dynamically adjust the transmitted semantic information based on varying channel conditions, enhancing communication reliability and adaptability. In addition, an information bottleneck-based loss function is derived to guide the fast distillation process. Simulation results verify that the proposed scheme outperform baselines in term of task accuracy, model size, computation latency, and training data requirements. © 1967-2012 IEEE.

关键词： NP-hard

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