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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31-40 订阅

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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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2025 systems of signals generating and processing in the field of on board communications, SOSG 2025

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

ISBN: (纸本)9798331532635

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. © 2025 IEEE.

关键词： Ionosphere

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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

2025 systems of signals generating and processing in the field of on board communications, SOSG 2025

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

ISBN: (纸本)9798331532635

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. © 2025 IEEE.

关键词： Adaptive filtering

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Application of Linear Filtering Techniques to the Design of Rating systems for Mobility Services

Application of Linear Filtering Techniques to the Design of ...

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2025 systems of signals generating and processing in the field of on board communications, SOSG 2025

作者： Vavilova, Zhanna Moscow Russia

ISBN: (纸本)9798331532635

The objective of the research is to formalize the customer service quality assessment system, which allows using digital signal processing methods in developing of the rating systems for the operator of the joint mobility market. At the moment, each company uses its own rating system for mobility services, the calculation of which is based on classical time series analysis approaches, which prevents the formation of a common accessible transport system of the city. This problem is insufficiently covered in scientific publications due to its novelty, but it is key to achieving the same level of satisfaction with services for users on each type of transport. The problem of constructing a rating system model is solved using linear digital filtering methods based on the driver's state graph, where, after fulfilling uniquely specified conditions, movement from one vertex to another occurs. The model opens the way to the formalization of the improvement applied to the rating system and determine the optimal parameters of the model. The effectiveness assessment of the new rating system confirmed its positive impact on the metric evaluating provided service quality and its high sensitivity to the change in parameters, which in turn will serve the long-term goals of creating a comfortable urban environment and reducing the negative environmental consequences from the use of individual vehicles. © 2025 IEEE.

关键词： Wiener filtering

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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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2025 systems of signals generating and processing in the field of on board communications, SOSG 2025

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

ISBN: (纸本)9798331532635

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. © 2025 IEEE.

关键词： Intelligent systems

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The Balance Model for V2X System with Variable Infrastructure

The Balance Model for V2X System with Variable Infrastructur...

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2025 systems of signals generating and processing in the field of on board communications, SOSG 2025

作者： Plotnikov, Pavel V. Tambovtsev, Gleb I. Vladyko, Andrei G. The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Faculty of Information Technology and Software Engineering Saint Petersburg Russia The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Faculty of Radioelectronic Systems and Robotics Saint Petersburg Russia

ISBN: (纸本)9798331532635

This paper addresses the optimization problem and seeks a balance equation between key performance-influencing parameters in a Vehicle-to-Everything (V2X) network. A novel mathematical optimization model is proposed, focusing on the interaction between On-board Units (OBUs) and both stationary and mobile Roadside Units (RSUs/mRSUs). The optimization problem is expressed through a multi-objective function considering critical parameters such as data transmission latency, energy consumption, and resource availability. The study demonstrates how RSU density and mobility impact key network performance indicators, including system stability and data loss percentage during peak hours. This work provides a structured analytical approach to optimizing Intelligent Transportation System (ITS) infrastructure, ensuring more reliable and efficient communication between vehicles. © 2025 IEEE.

关键词： Motor transportation

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Analysis of Explainable Artificial Intelligence Methods in Security Information and Event Management systems

Analysis of Explainable Artificial Intelligence Methods in S...

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2025 systems of signals generating and processing in the field of on board communications, SOSG 2025

作者： Bulgakova, Elena V. Vasilevskiy, Pavel A. Doynikov, Daniil S. Kubankov, Alexander N. Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (纸本)9798331532635

The present article engages with the ongoing discourse surrounding the implementation of artificial intelligence and explainable artificial intelligence within the domain of information security systems. In the context of escalating cyber threats and mounting data volumes, conventional defense methodologies are proving to be inadequate. Consequently, the integration of artificial intelligence has emerged as a pivotal strategy to enhance the efficacy of threat detection and response processes. The article delves into the intricacies of explainability in artificial intelligence decision-making, exploring explainable artificial intelligence techniques such as local interpretable model-agnostic explanations, shapley additive explanations, gradient-weighted class activation mapping, and layer-wise relevance propagation. These techniques facilitate a more profound comprehension of the rationale behind artificial intelligence models' decisions, thereby enhancing the interpretability of these models. The discourse further encompasses the trade-offs between the accuracy and explainability of artificial intelligence models, along with their potential applications in security information management systems to enhance the efficiency and quality of incident analysis. The integration of explainable artificial intelligence into information security systems has the potential to enhance user confidence in artificial intelligence technologies and optimize human-machine interaction. © 2025 IEEE.

关键词： Cyber attacks

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Joint Optimization of Reconfigurable Intelligent Surface Phase Shifts and Power Allocation in LEO-NOMA systems Using Soft Actor-Critic

Joint Optimization of Reconfigurable Intelligent Surface Pha...

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2025 systems of signals generating and processing in the field of on board communications, SOSG 2025

作者： Yahia, Khalil M. Wahbi, Ibrahim S. Klimov, Dmitry A. Dawood, Tammam Z. Moscow Technical University of Communications and Informatics Moscow Russia Damascus University Department of Electronics and Communication Engineering Damascus Syria

ISBN: (纸本)9798331532635

Combining Reconfigurable Intelligent Surfaces (RIS) with Non-Orthogonal Multiple Access (NOMA) offers a promising way to improve spectral efficiency and energy utilization in Low Earth Orbit (LEO) satellite networks. However, the highly dynamic nature of LEO environments make it challenging to optimize RIS phase shifts and power allocation in real time. This paper introduces a reinforcement learning-based framework that applies the Soft Actor-Critic (SAC) algorithm to jointly optimize RIS configurations and power allocation among users. The proposed method works in two stages: first, SAC fine-tunes RIS phase shifts while keeping power allocation fixed;then, it dynamically adjusts power levels to enhance overall system performance. This method, in contrast to traditional strategies that depend on perfect channel state information (CSI), focuses on adaptive decision-making aimed at maximizing rewards, effectively mitigating the impact of channel estimation errors during training. Simulation results confirm that the SAC-based framework effectively boosts channel capacity without requiring additional transmission power. Furthermore, integrating RIS with NOMA further enhances performance, making it a strong candidate for next-generation satellite communications. © 2025 IEEE.

关键词： Energy utilization

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Traffic Flow Forecasting Taking Into Account Spatio-Temporal Dynamics: Modernization of Existing Approaches Based on Data from ITS Detectors

Traffic Flow Forecasting Taking Into Account Spatio-Temporal...

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2025 systems of signals generating and processing in the field of on board communications, SOSG 2025

作者： Karelina, Ekaterina A. Smirnov, Petr I. Subbotin, Boris S. Popov, Nikolay V. Vasilyev, Andrey V. The State University of Management World Economy and International Economic Relations Department Moscow Russia Institute of Mechanical Engineering Energy and Transport Vologda State University Vogu Vologda Russia The Kosygin State University of Russia Moscow Russia Moscow Russia

ISBN: (纸本)9798331532635

This paper presents an upgraded traffic flow forecasting technique based on adaptive spatial temporal learning with prompts. The improved model aims to increase the accuracy of forecasts and robustness to data changes by optimizing the mechanisms for processing temporal and spatial characteristics. To evaluate the effectiveness of the proposed approach, experiments were conducted on the PEMS03, PEMS04, PEMS07M and Chengdu Didi datasets. The results showed that the proposed model reduces MAE by 5.4% and RMSE by 4.8% compared to baseline methods, demonstrating faster convergence and robustness to changes in data distribution. The improvements were achieved through the implementation of adaptive prompts that allow dynamic consideration of traffic features. Additionally, the model uses data from intelligent transport systems (ITS) detectors, which ensures accurate and timely forecasting of the traffic situation. The developed approach helps to improve the efficiency of urban transport management, allowing to optimize flow regulation and minimize congestion. © 2025 IEEE.

关键词： Intelligent systems

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Simulation of the Functioning of Self-Adjusting systems with Additive and Parametric Feedback

Simulation of the Functioning of Self-Adjusting Systems with...

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2025 systems of signals generating and processing in the field of on board communications, SOSG 2025

作者： Yablochnikov, S.L. Yablochnikova, I.O. Dzobelova, V.B. Abrosimova, I.A. Avdeeva, E.A. Plekhanov Russian University of Economics National Research University Moscow Power Engineering Institute Moscow Russia Plekhanov Russian University of Economics National University of Science and Technology «misis» Moscow Russia North Ossetian State University Named after Kosta Levanovich Khetagurov Vladikavkaz Russia Moscow State University of Civil Engineering Moscow Russia Saint Petersburg Mining University Jsc 'Central Design Bureau 'Lazurit' St. Petersburg Russia

ISBN: (纸本)9798331532635

For processes implemented in various control systems, it is often necessary to ensure the presence of selfadaptation (self-learning) properties, in particular, this is important when the control object is characterized by a wide range of transmission coefficient changes, as well as if it is necessary to ensure the stability of the quality of the object's control processes when exposed to a set of parametric disturbances. The successful operation of control systems in such conditions must be ensured so that the system's response to this signal is adequate and effectively formed in accordance with the quality criterion, for example, the minimum error. One of the ways to solve such problems is to integrate additive parametric feedback circuits into the control system. At the same time, it is necessary to ensure that the condition regarding the independence of the error value from the values of the object parameters is fulfilled. This, in turn, ensures that errors are minimized. The authors of this scientific study have developed and substantiated a way to ensure such a condition for minimizing control errors by forming a parametric feedback subsystem. Other means are also proposed and justified to minimize errors in the management of systems and processes of various types. © 2025 IEEE.

关键词： Control system synthesis

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Setting and Checking Availability Requirements for Communication Networks and systems

Setting and Checking Availability Requirements for Communica...

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

作者： Victor Netes Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

Dependability requirements are increasing with each new generation of communication networks and systems. Availability is one of the core dependability attributes and dependability requirements are often set as requirements specifically for availability. Therefore, it is very important correctly specify such requirements and validate compliance with them. These issues are studied in this paper. A parametric approach with a time over threshold is proposed to determine failure and restoration criteria. The choice of availability measures for communication networks is considered. The features and difficulties of applying the calculation method and tests to validate compliance with requirements at the design and commissioning stages are discussed.

关键词： Redundancy Packet loss Time measurement Communication networks Reliability

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