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检索条件"任意字段=2018 Systems of Signals Generating and Processing in the Field of on Board Communications"

共 514 条记录，以下是221-230 订阅

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Improving the Efficiency of Information systems Management Through the Introduction of the Authority Criticality Matrix

Improving the Efficiency of Information Systems Management T...

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

作者： E. G. Kukharenko A. S. Novikova V. V. Voskobovich A. M. Kukharenko Moscow Technical University of Communications and Informatics Moscow Russia RANEPA Moscow Russia

The organization of information processes management, as well as information systems of a large retail company, is influenced by many factors. One of the fundamental factors is risk management. The desire to minimize risks is often accompanied by the use of additional methods at the design stage of complex information systems, which will later be used to automate the company's information processes. Management of organizational systems requires automation of many processes to reduce possible errors. The authority criticality matrix allows you to predict risks before the implementation stage. Using this method allows you to maintain a balance of security and efficiency of a complex system, which in the final stage significantly improves its operation and simplifies the management process.

关键词： Access control Automation Design methodology Companies Risk management Indexes Computer security

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Dynamic Measurements Accuracy Increasing of Digital Measuring Device for On-board Radio Electronic Equipment

Dynamic Measurements Accuracy Increasing of Digital Measurin...

引用

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

作者： E. P. Stroganova S. E. Grychkin Moscow Technical University of Communications and Informatics Moscow Russia

In this paper we discuss the problem of dynamic measurements of digital measuring device for on-board radio electronic equipment. For such a measuring device, when a moving object moves under conditions of influencing noise, the accuracy of measurements decreases. The problem of increasing the accuracy of such dynamic measurements is considered. This article proposes the method for increasing accuracy for on-board radio electronic digital device applied at the moving object with on-board electronic equipment. Theoretical consideration of the accuracy of navigational determinations of the onboard measuring device under noise conditions and taking into account the object's movement dynamics is carried out. The article provides a theoretical analysis and computer simulation of the considered digital measuring device for on-board radio electronic equipment. It has been found that when combining on-board navigation and radio communication facilities are usually used to improve the accuracy of navigation determinations by implementing differential operating modes, it is possible to improve the accuracy of dynamic measurements.

关键词： Electronic equipment Computer simulation Radio navigation Personal digital devices Noise measurement Radio communication

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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 & ...

引用

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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The Balance Model for V2X System with Variable Infrastructure

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

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

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

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

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.

关键词： Energy consumption Computational modeling Throughput Energy efficiency Data models Vehicle-to-everything Optimization Intelligent transportation systems Load modeling Edge computing

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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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Analysis of Power Spectrums in Heart signals to Detect the Presence of Low-Amplitude High-Frequency Components

Analysis of Power Spectrums in Heart Signals to Detect the P...

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

作者： D. Yu. Ryabov O. A. Mukhametzyanov S. S. Sedov T. F. Shcherbakova Department of Radio-Electronic and Telecommunication Systems Kazan National Research Technical University Named After A. N. Tupolev - KAI Kazan Russia

Purpose of this study is effective registration of low-amplitude high-frequency components with predictive value - ventricular late potentials (VLPs) - in electrocardiosignals (ECS) by Ist standard lead. 232 signals were preliminary evaluated to detect VLPs by Simson’s method. VLPs were detected in 34 signals. Modification of signal-averaged approach was applicated to analyzed signals. Power spectrums of heartbeat signals’ terminal part were analyzed in this study. Designed algorithm showed 82.75% of correct decisions. Originality: new parameter to detect VLPs by Ist standard lead lead was proposed. Parameter’s threshold value is calculated. Threshold frequencies with maximal percentage of correct decisions were determined. Opportunity to detect VLPs in signals by Ist standard was evaluated: it is possible to detect VLPs using spectral analysis. Practical significance: results will be useful for ECS analysis block in telemedicine systems and onboard communications.

关键词： Heart Electric potential Heart beat Telemedicine Signal processing algorithms Lead Standards

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Analysis of Electrocardiosignals by Z Lead on Presence of Low-Amplitude High-Frequency Components

Analysis of Electrocardiosignals by Z Lead on Presence of Lo...

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

作者： O. A. Mukhametzyanov T. F. Shcherbakova D. V. Libina S. S. Sedov Department of Radio-Electronic and Telecommunication Systems Kazan National Research Technical University Named After A. N. Tupolev - KAI Kazan Russia

Purpose of this study is effective registration of low-amplitude high-frequency components with predictive value - ventricular late potentials (VLPs) - in heart signals (ECS) by single Z lead. 206 signals were preliminary evaluated to detect VLPs by Simson’s method. VLPs were detected in 30 signals. In this study Simson’s algorithm was applicated to signals by Z lead. To realize that algorithm R-peak of heartbeat signal was used as synchronization point. VLPs were detected in 52 signals using designed algorithm. Originality: new approach to detect VLPs by single Z lead was designed. Opportunity to detect VLPs in signals by Z lead was evaluated: it is possible to register VLPs by single Z lead. Results of this research are practically significant: they can be integrated in onboard communication equipment related with telemedicine.

关键词： Heart Communication equipment Heart beat Telemedicine Signal processing algorithms Lead Prediction algorithms

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Artificial Intelligence for Cyber Security Goals

Artificial Intelligence for Cyber Security Goals

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

作者： D. F. Amirov ITCOM Group of Companies Moscow Technical University of Communications and Informatics Moscow Russia

This paper aims at the interconnection between cyber security and artificial intelligence systems. In modern parlance, artificial intelligence systems are machine learning systems, the interpretation sometimes narrowed further to artificial neural networks. While machine learning increasingly penetrates into various spheres of information technology application, its intersection with cyber security is naturally to occur. The problem is that this intersection cannot be described by any single model. Combination of artificial intelligence and cyber security has a wide range of application. The common factor is obviously the use of machine learning techniques, but the objectives as well as the results achieved to date differ a lot. For example, with machine learning used to detect attacks and intrusions, real progress is made if compared to previous approaches; however, attacks on machine learning systems themselves cannot be combated by the system protection. The classification of models for applying machine learning to cyber security is the focus of this paper.

关键词： Graphics Machine learning Artificial neural networks Data models Real-time systems Security Computer crime

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The Impact of Heterogeneity on Network Resource Allocation Process for Managing Education in Real Time

The Impact of Heterogeneity on Network Resource Allocation P...

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

作者： Tammam Z. Dawood Artwell R. Muzata Mikhail S. Stepanov Ghanshyam Singh Margarita G. Kanishcheva Moscow Technical University of Communications and Informatics Moscow Russia Department of Electrical and Electronic Engineering Science University of Johannesburg Johannesburg South Africa

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

The use of technology in education has increased In recent years, especially after the emergence of the COVID-19 pandemic and the trend towards digital learning. Solutions such as e-learning, blended learning, and game-based learning are being used. Virtual Reality (VR) and Augmented Reality (AR) can help significantly change the style of education towards making it more interesting, useful, and possible. Of course, this type of application requires specific traffic characteristics that must be taken into account when allocating resources in the network in order to obtain an acceptable quality of service. The article provides a numerical study of the influence of the heterogeneity property on the characteristics of the joint servicing of information flows of various types in modern networks. To conduct the study, a generalized mathematical model of a network access node is used, and parameters and characteristics are discussed.

关键词： Solid modeling Pandemics Education Process control Quality of service Real-time systems Mathematical models Telecommunications Resource management Augmented reality

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Monitoring of RF-field Strength in the Environment by Mobile Telecommunications in the Moscow

Monitoring of RF-Field Strength in the Environment by Mobile...

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

作者： A. A. Yelizarov D. M. Ikonnikova A. I. Katsnelson P. I. Gromova D. S. Ilyanova National Research University «Higher School of Economics» Moscow Russia

The growing popularity and use of the wireless Internet of Things and cyber-physical systems increase the demand for "green" technologies in the field of mobile telecommunications. To be completely wireless, such devices need an integrated RF energy harvesting system that ensures efficient recharging of the batteries and accumulators used in them. This article provides an assessment of the coverage areas of mobile operators in Moscow and the Moscow region by the frequency ranges used, taking into account the power distribution. An experimental study of the RF-field strength of telecommunication equipment was carried out using a log periodic antenna (KM6-600/6000) with linear polarization and a portable spectrum analyzer with an Arinst SSA-TG R2 tracking generator. The results of attenuation of electromagnetic waves of GSM and Wi-Fi bands under various environmental conditions are obtained, which is of interest for the development of effective intelligent harvesting systems.

关键词： Radio frequency GSM Electromagnetic scattering Power distribution Mobile antennas Attenuation Generators

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