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检索条件"任意字段=Conference on Systems of Signals Generating and Processing in the Field of on Board Communications"

共 537 条记录，以下是61-70 订阅

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On the Performance of Specialized Distributed Computing systems Using Multiple Parallel Task Queues

On the Performance of Specialized Distributed Computing Syst...

引用

systems of signals generating and processing in the field of on board communications

作者： I. M. Gostev S. V. Bolovtsov Russian Scientific and Technical Society of Radio Engineering Electronics and Communications named after A.S. Popov Moscow Russia Russian Presidential Academy of National Economy and Public Administration (RANEPA) Moscow Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

Three variants of models of specialized distributed computing systems containing one, two and four parallel task queues are considered. Such systems are characterized by continuous non-stationary internal task flows. In these systems, the input tasks are parallelized into an a priori unknown number of data-independent subtasks. And when a certain subtask containing a solution is completed, all other branches of this task are deleted. The aim of the work was to study the behavior of such systems when they are organized with several parallel queues. The issues of changing the efficiency and performance of such systems with an increase in the number of queues are considered. Studies have shown that the use of several queues makes it possible to increase productivity without increasing computing resources.

关键词： Productivity Computational modeling System performance Planning Distributed computing

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Influence of Energy Efficiency on Location Accuracy in systems Using Spatio- Temporal Signal processing

Influence of Energy Efficiency on Location Accuracy in Syste...

引用

systems of signals generating and processing in the field of on board communications

作者： Evgeny Glushankov Andrey Khrenov Zakhar Kondrashov Department of Radio Engineering University of Telecommunications Saint-Petersburg Russia Department of Design Radioelectronic Devices University of Telecommunications Saint-Petersburg Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

The article is devoted to study of influence of changing energy parameter on estimation of accuracy of measuring position parameters of drones by time difference of arrival (TDOA) system through use of spatial-temporal signal processing. In MATLAB modeling of dependences of mean square deviation of radio emission source (RES) position error on signal-to-noise ratio in TDOA system when spatial-temporal signal processing is applied. The description of methodology of building maps of levels of standard deviation of RES position error depending on energy parameter for a system of five receiving points is presented. This approach can be useful in design of TDOA system with spatial-temporal signal processing, since it allows predicting errors received in coverage area. The distinctive feature of technique is that standard deviation of difference-distance measurement depends on mutual location of RES and receiving points.

关键词： Antenna measurements Accuracy Estimation Energy measurement Interference Signal processing Position measurement Energy efficiency Standards Signal to noise ratio

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Research of Methods for Modeling User Assessments of 3D Content for Extended Reality systems

Research of Methods for Modeling User Assessments of 3D Cont...

引用

systems of signals generating and processing in the field of on board communications

作者： Igor V. Vlasyuk Gleb A. Voronkov Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

In this article, we will analyze methods for modeling user ratings of a video sequence and their potential application to extended reality systems. The main approaches and algorithms used to evaluate the quality of a video sequence are considered, their advantages and disadvantages for 2D and 3D content are revealed. The aim of the work is to develop our own method for evaluating the quality of 3D models to improve relevance and efficiency, taking into account the features of 3D content, since most of the metrics were created to meet the needs of two-dimensional systems. The research results can be used in the development and optimization of augmented reality systems, as well as in other areas where it is necessary to evaluate the quality of 3D models based on user preferences.

关键词： Measurement Solid modeling Three-dimensional displays Accuracy Extended reality Shape Computational modeling Video sequences Predictive models Augmented reality

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Research and Optimization of the Algorithm for License Plate Recognition Under the Conditions of Edge Computations

Research and Optimization of the Algorithm for License Plate...

引用

systems of signals generating and processing in the field of on board communications

作者： Kamil R. Kharrasov Konstantin A. Kudriavtsev Ilya V. Ablyazov Mikhail G. Gorodnichev Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

Purpose of this paper is to develop a license plate detection and recognition module optimized to work under constraint of edge computing. Existing methods of license plate recognition are analyzed. Dataset with images of rectangular and square license plates is collected. Detector is trained, methods of processing detected license plate frame and checking combination of symbols are implemented. Pipeline using convolutional recurrent network for character recognition adapted for license plates is developed. Influence of hyperparameters on speed and accuracy of license plate character recognition has been investigated. Experiments have demonstrated obtaining an optimal configuration for module inference with sufficiently high accuracy rates and possibility of operation under conditions of limited computational resources in real time.

关键词： Accuracy Pipelines Symbols Detectors Real-time systems Character recognition License plate recognition Optimization Tuning Edge computing

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Analysis of the Earth's Ionosphere Influence on the Parameters of High-Frequency Radio signals Using the Bicharacteristics Method

Analysis of the Earth's Ionosphere Influence on the Paramete...

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systems of signals generating and processing in the field of on board communications

作者： Andrew S. Kryukovsky Boris G. Kutuza Dmitry V. Rastyagaev Institute of Information System and Engineer-Computer Technology Russian New University Moscow Russia Kotelnikov Institute of Radioengineering and Electronics Moscow Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

The propagation of a radio signal emitted by a spacecraft through the Earth's ionosphere is considered. The influence of the ionosphere and traveling ionospheric disturbances on the propagation of a radio signal of the decimeter and meter ranges is studied. The following are calculated: deviations of rays from rectilinear propagation, changes in delay time, phase lag, and phase deviation. The total electron concentration and Faraday rotation are calculated in the presence of ionospheric inhomogeneities. The influence of the ionosphere on the absorption of a radio signal, its amplitude, and polarization is analyzed.

关键词： Meters Earth Spaceborne radar Faraday effect Mathematical models Numerical models Trajectory Delays Ionosphere Electrons

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On the Applicability of Reinforcement Learning in the Traffic Flow Control Problem

On the Applicability of Reinforcement Learning in the Traffi...

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systems of signals generating and processing in the field of on board communications

作者： Mikhail Gorodnichev Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

This article presents the development of a traffic flow regulation method based on an adaptive approach that accounts for changing characteristics of traffic conditions. The study explores key reinforcement learning techniques utilizing Q-Learning to enhance traffic management. Simulations of traffic flow control were conducted in the SUMO simulation environment, focusing on cyclic switching methods. The article outlines the implementation of an environment management strategy and the application of reinforcement learning algorithms via the SUMO API. Two reinforcement learning techniques were selected for traffic flow regulation, and extensive training was conducted with various hyperparameters to identify optimal configurations. A comparative analysis of traditional cyclic switching methods and data-driven approaches is provided, highlighting the potential advantages of adaptive methods for improving traffic efficiency and safety in urban environments. The findings suggest that reinforcement learning can significantly enhance traffic management systems in real-time applications.

关键词： Training Adaptation models Flow production systems Urban areas Transportation Reinforcement learning Switches Traffic control Regulation Safety

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Research Information Security System in Event-Based Security and Reliability Management

Research Information Security System in Event-Based Security...

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systems of signals generating and processing in the field of on board communications

作者： M. Y. Orujova S. R. Ismaylova B. G. Ibrahimov Azerbaijan Technical University Baku Azerbaijan

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

Some indicators of the effectiveness management based on security and reliability events of the information security system are analyzed. Network services and applications active monitoring security and reliability events are considered, where the main management tools are the composition of events, their effectiveness indicators used to indicate an incident, and their parameters. Based on the study, a new approach to creating a mathematical model has been developed. Taking into account the features of the model, this paper considers the tasks studying the communication quality indicators of the information security system and assessing their effectiveness in managing based on security and reliability events. Using the model, analytical expressions have been obtained for assessing the performance indicators managing based on security and reliability events hardware and software complexes communication systems.

关键词： Analytical models Event detection Communication systems Information security Software systems Mathematical models Hardware Software reliability Management Monitoring

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Influence of Primary and Secondary Path Estimation Accuracy on Active Noise Control Performance

Influence of Primary and Secondary Path Estimation Accuracy ...

引用

systems of signals generating and processing in the field of on board communications

作者： Victor I. Djigan Institute of Microdevices and Control Systems National Research University of Electronic Technology Moscow Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

An Active Noise Control (ANC) system based on a modified architecture is considered. This architecture allows to accelerate the convergence of the adaptive filtering algorithms in use. Besides, it allows to use the most efficient Recursive Least Squares adaptive filtering algorithms which provide the fastest convergence comparing to the gradient search-based adaptive algorithms. The architecture of the ANC system and its mathematic description are presented. The simulation results demonstrate the ANC system performance. It is shown, that the number of the adaptive filter weighs can be decreased about 30% of the theoretically required value without any observable loss of the ANC performance. This is possible because of fading shape of the primary and secondary path acoustic impulse responses. As the result, the contribution of the impulse response “tails” to the signals at the error microphone of the ANC system is comparable with that of the ambient noise. This also allows to decrease the required number of the adaptive filter weights and to decrease the computational resources required to the implementation of the ANC system.

关键词： Shape System performance Simulation Noise Adaptive filters Computer architecture Tail Filtering algorithms Control systems Convergence

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On the Automated Selection of Neural Network Architectures in the Task of Pattern Recognition for Intelligent Transportation systems

On the Automated Selection of Neural Network Architectures i...

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systems of signals generating and processing in the field of on board communications

作者： Alesya Moseva Mikhail Gorodnichev Marina Moseva Kamil Kharrasov Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

Exponential growth in the number of computing resources, their cheapening, and the wide availability of large data sets have ensured a great demand for information systems based on neural networks. Such systems are widely used in many spheres of life: in medicine, detecting diseases at early stages and helping to design new drugs; in the financial sector, detecting fraudulent transactions and calculating risks, including the development of intelligent transportation systems. Intelligent transportation systems (ITS) actively use computer vision technologies to solve such tasks as object recognition, traffic analysis, traffic forecasting and road safety. However, the development of effective neural network models for these tasks requires significant resources and high qualification of specialists. The system of automated training and selection of neural network architecture can significantly simplify and speed up this process. Data collection, selection of the necessary model and tuning of hyperparameters requires specialized knowledge and skills. This work is aimed at developing a tool for automated selection of neural network architecture, which will accelerate the development and implementation of models, reduce development costs, improve the quality and reliability of solutions, provide scalability and adaptability to changing conditions.

关键词： Adaptation models Annotations Scalability Neural networks Computer architecture Libraries Data models Servers Intelligent transportation systems Tuning

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Survey of LLMs and AI Agents in V2X: Simulation, Analysis & Architectures

Survey of LLMs and AI Agents in V2X: Simulation, Analysis & ...

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systems of signals generating and processing in the field of on board communications

作者： Sriram Panyam Anujkumarsinh Donvir Gunjan Paliwal Praveen Gujar Cloud Computing Data Engineering AI Platforms Sunnyvale United States Application Development Wayne NJ USA Product Marketing & Development Seattle USA Enterprise Data Products in Digital Advertising Saratoga USA

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

In this paper, a comprehensive survey of the integration of large language models (LLMs) and AI agents in (Vehicle-to-Everything) V2X systems is presented. Their application in simulation, analysis, and architectural design is examined, highlighting the enhancement of realistic scenario generation, adaptive data processing, and real-time decision-making. Interdisciplinary perspectives, including cloud computing and data engineering, are explored to demonstrate scalable simulation frameworks and efficient analytics. Comparative analyses of existing platforms illustrate significant improvements in safety, efficiency, and reliability in modern transportation networks. Emerging trends and future research directions, such as scalable deployment, privacy preservation, and standardization, are discussed. The findings underscore the transformative potential of integrating AI technologies in V2X infrastructures, paving the way for smarter, safer, and more resilient transportation systems. These advances offer promising avenues for further innovation in mobility.

关键词： Surveys Cloud computing Large language models Decision making Transportation Data engineering Real-time systems Reliability Artificial intelligence Vehicle-to-everything

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