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2024 systems of Signals Generating and processing in the Field of on Board Communications, SOSG 2024

作者： Dymkova, S.S. varlamov, Oleg v. Vienna Austria Moscow Technical University of Communications and Informatics Moscow Russia Institute of Radio and Information Systems Vienna Austria

ISBN: (纸本)9798350383614

The article discusses the main topics and results of the scientific conference "systems of signals generating and processing in the field of on board communications", in which leading industry experts annually exchange experience in the areas of: antennas and radio waves propagation, navigation and mathematical algorithms of an object Space orientation, radiofrequency applications, wire and optical communication and control systems, intelligent transport systems and digital signal processing in on-board radio systems. ©2024 IEEE.

关键词： Intelligent systems

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Analysis of data from biomedical multisensor optical systems

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JOURNAL OF optical TECHNOLOGY 2024年第7期91卷 509-514页

作者： Mazing, Mariia s. Zaitceva, A. N. N. A. Yu. Novikov, Lev, v Russian Acad Sci Inst Analyt Instrumentat St Petersburg Russia

Subject of study. This study investigates multisensor optical systems developed for biomedical research, focusing on methodologies for applying a multisensor approach to optical biomedical diagnostics. Aim of study. The study aims to design and perform a comprehensive analysis of a multichannel optical system for collecting, transmitting, and analyzing diagnostic data. Additionally, it seeks to develop an effective algorithm for preprocessing large volumes of optical signals that characterize the state of biological objects using data mining techniques. Method. The study applies multidimensional data mining techniques to implement a multisensor approach to ranking optical spectroscopy signals. Main results. A compact optical multisensor system designed for biomedical diagnostics is introduced. This system features an array of 18 photodiode-sensitive elements with selective sensitivity to optical radiation in the visible and infrared ranges (410-940 nm). The study outlines the analytical stages for processing multidimensional information obtained from the system, incorporating principal component analysis and cluster analysis algorithms. Experimental studies involving human participants validated the efficacy of the proposed methodologies. Using data mining techniques, the study visualized ranked subject data, uncovering hidden patterns in the functional states of microcirculatory tissue systems based on sensor array readings. Practical significance. The findings have significant practical implications for the development of automated systems incorporating optical multisensor technologies. These systems can address challenges associated with identifying and analyzing the functional states of complex multicomponent biological tissues and fluids in the human body. (c) 2024 Optica Publishing Group

关键词： Laser Doppler velocimetry Medical fields optical diagnostics optical signals optical systems systems design

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Creation of Adaptive algorithms for Determining the Brillouin Frequency Shift and Tension of optical Fiber

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INSTRUMENTS AND EXPERIMENTAL TECHNIQUES 2023年第5期66卷 769-774页

作者： Bogachkov, I. v. Omsk State Tech Univ Omsk 644050 Russia

Early detection of potentially unreliable areas in optical fibers makes it possible to detect degradation of optical fibers of fiber-optic communication lines at an early stage. Early diagnostics of the physical state of optical fibers located in the laid optical cables of telecommunication systems is an important topical task. The paper presents adaptive algorithms that allow one to determine the maximum of the Mandelstam-Brillouin scattering spectrum (Brillouin frequency shift), and then the degree of tension of optical fibers. The process of determining the Brillouin frequency shift, whose values at wavelengths of laser radiation used in telecommunication systems belong to the microwave range, can be significantly accelerated if adaptive algorithms for obtaining and processing data are implemented due to a special choice of the step for the scanning frequency and the time of accumulation of measurement results. The adaptive algorithms considered in this paper make it possible to speed up the process of obtaining output results in Brillouin reflectometers by ignoring readings that do not significantly affect the final characteristics. The construction of approximate graphs of the distribution of the spectrum and tension along the length of the fiber allows the trained user of the Brillouin reflectometer to stop the analysis process in order to make corrections to the measuring process (selection of the scanning range in frequency, change in the scanning step in frequency, choice of the accuracy of the presentation of output results, change in spatial resolution, etc.), which also speeds up the testing of the selected fiber. The measurement process can also be accelerated by adaptively changing the number of averages. With a database of measured Mandelstam-Brillouin scattering characteristics of optical fibers of various types and manufacturers, the speed of obtaining tension plots can also be increased. Since the approximate value of the Brillouin frequency shift

关键词： optical fibers

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optical technologies and the visual picture of the world: iconics and neuroiconics

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JOURNAL OF optical TECHNOLOGY 2022年第8期89卷 434-436页

作者： Shelepin, Yu E. Lutsiv, v. R. Korotaev, v. v. Russian Acad Sci Pavlov Inst Physiol St Petersburg Russia St Petersburg State Univ Aerosp Instrumentat St Petersburg Russia ITMO Univ St Petersburg Russia

A definition of neuroiconics is proposed as a branch of science at the intersection of human and animal physiology and iconics that studies neurophysiological processes and algorithms for processing video information ... 详细信息

关键词： algorithms Image processing Neural networks Pattern recognition Thermal imaging visual system

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Using Wavelet Analysis for Signal processing of information Transmission systems

Using Wavelet Analysis for Signal Processing of Information ...

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2024 systems of Signal Synchronization, Generating and processing in Telecommunications, SYNCHROINFO 2024

作者： Manonina, I.v. Shestakov, v.v. Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (纸本)9798350373448

Currently, the use of wavelet analysis makes it possible to solve various problems in the formation and processing of information, perform measurement tasks, and perform compression and regeneration of signals with low distortion. For example, with of wavelet processing it is possible to carry out effective pattern recognition with better performance than with multivariate statistical analysis;for digital information processing systems allows you to develop modern methods and algorithms for signal processing to solve radar and hydroacoustic problems;for infocommunication systems, wavelet analysis allows solving problems of generating, transmitting, receiving and processing information in real time, being a relevant and necessary solution for digital information transmission systems;performing basic algorithms for spectral analysis, filtering and signal synthesis, which allows for more economical use of technical resources;obtain more efficient methods of processing, compression and regeneration of signals transmitted over digital communication channels with low distortion. The article discusses methods of threshold wavelet signal processing using various threshold functions. A subsequent comparative analysis was also carried out for the selected communication signal by determining the risk assessment. © 2024 IEEE.

关键词： Noise component Risk assessment Threshold functions Thresholding method Wavelet analysis

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Experimental Estimation of the Calibration Accuracy of Intrinsic Parameters for Digital video Cameras

Experimental Estimation of the Calibration Accuracy of Intri...

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2024 Wave Electronics and its Application in information and Telecommunication systems, WECONF 2024

作者： Eremin, D.v. Poroykov, A.Y. Pechinskaya, O.v. Shmatko, E.v. Shashkova, I.A. National Research University 'Moscow Power Engineering Institute' Department Of Physics Named After V.A. Fabrikant Moscow Russia

ISBN: (纸本)9798350364989

A large number of computer vision algorithms in their work use information about geometric parameters of objects in images. For such algorithms, an important element of their performance and efficiency is the calibration process. It consists of determining camera and lens parameters on the basis of which further image processing, including correction of optical distortions, is performed. This paper presents an attempt to estimate the accuracy of a standard algorithm for calibrating digital cameras by comparing its results with those of direct measurements. A series of measurements and calibrations were performed on six camera-lens pairs. The analysis of the obtained data showed that the results of calibration and direct measurements can be very different, even if the final reprojection error is small. Therefore, using calibration results with a small reprojection error does not guarantee a low measurement error due to incorrect determination of the physical parameters of the camera. © 2024 IEEE.

关键词： Parameter estimation

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Effective Estimation of Motion Parameters of Mobile Robotic Complexes Based on information processing of Technical vision systems

Effective Estimation of Motion Parameters of Mobile Robotic ...

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2025 systems of Signals Generating and processing in the Field of on Board Communications, SOSG 2025

作者： Sokolov, S.v. Shvidchenko, S.A. Reshetnikova, I.v. vavilova, E.v. Rostov State University of Economics Rostov-on-Don Russia Moscow Technical University of Communications and Informatics Moscow Russia Don State Technical University Rostov-on-Don Russia

ISBN: (纸本)9798331532635

The accuracy of positioning and determining the spatial orientation of mobile robotic systems (MRS) that monitor traffic conditions, urban infrastructure, assess emergency situations and their consequences, etc., directly depends on the efficiency of processing information received from machine vision systems (MvS). Some of the most effective methods for assessing the navigation parameters of MRS using MvS are methods based on calculating the velocity field of the optical flow reflected from the surface. At the same time, direct calculation of the velocity field is a very complex computational task. In the practical use of existing methods for processing optical flow based on various assumptions, the computational costs are often unrealizable for on-board computers, which makes it impossible to solve the navigation problem in real time. Due to the relevance of this problem, the article considers one of the possible options for its solution, based on solving a system of linear equations and providing minimal computational costs when determining the linear and angular velocities of MRS, easily implemented in the on-board computer in real time. A natural experiment was conducted to illustrate the effectiveness of the proposed approach. © 2025 IEEE.

关键词： optical flows

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Frequency-domain diffusion adaptation with quantized communication 16

Frequency-domain diffusion adaptation with quantized communi...

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16th International conference on Signal processing systems, ICSPS 2024

作者： Peng, Yishu Zhang, Sheng Zhou, Zhengchun Han, Hongyu School of Information Science and Technology Southwest Jiaotong University Chengdu China School of Computer Science Sichuan Normal University Chengdu China

ISBN: (纸本)9781510689251

In energy- and bandwidth-limited networks, frequency-domain diffusion algorithms based on periodic communication are attractive candidates because of their low computational complexity and communication overhead. Nevertheless, these algorithms assume that intermediate estimates are transmitted exactly in each communication round, which is not realistic in practice. To this end, this paper proposes novel frequency-domain diffusion algorithms with quantized communication. Using the randomized quantizer to compress the shared information, we first develop the quantized frequency-domain diffusion least mean square (Q-FDLMS) algorithm. To mitigate the performance degradation incurred by quantization errors, the improved Q-FDLMS (IQ-FDLMS) algorithm is also designed. This enhanced version modifies the combination step and incorporates the moving-average scheme. Additionally, the mean-square stability conditions and steady-state error bound of the IQ-FDLMS algorithm are derived. Experiment results indicate that our proposed algorithms are superior to other competing algorithms. © 2025 SPIE.

关键词： Frequency domain analysis

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A Rule-Based Expert System for Automated Document Editing 1

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20th International conference on Computing and information Technology (IC2IT2)

作者： varma, Sandeep Shivam, Shivam Roy, Soumya Deep Ray, Biswarup ZS Associates Pune Pune Maharashtra India

ISBN: (数字)9783031585616

ISBN: (纸本)9783031585609;9783031585616

This research paper introduces a Rule-Based Expert System designed for the automated editing of documents in PDF and PPT formats. The system employs a set of predefined rules, extracted from guideline documents using a Large Language Model (LLM), to execute tasks such as redaction of sensitive text/logo detection and annotation of text elements that deviate from prescribed font size guidelines. Following the detection and annotation process, the system further enhances documents by resizing the detected text elements based on the predefined rules. To achieve these editing tasks, the system integrates advanced image processing techniques, leveraging fine-tuned optical Character Recognition (OCR) for accurate text extraction from document images. Furthermore, Natural Language processing (NLP) algorithms are utilized to analyze and interpret textual content. The combination of image processing, OCR, NLP, and rule extraction using LLM ensures a comprehensive approach to document editing, enhancing efficiency and accuracy. The proposed system addresses the need for automated and rule-driven document editing, contributing to advancements in information security and document standardization.

关键词： Rule-based Expert System Image processing optical Character Recognition Document Sanitization Natural Language processing

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Research on the design of multi-source and multi-granularity educational information system based on deep learning

Research on the design of multi-source and multi-granularity...

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2024 International conference on algorithms, High Performance Computing, and Artificial Intelligence, AHPCAI 2024

作者： Wang, Li Shandong Institute of Commerce and Technology Shandong Jinan China

ISBN: (纸本)9781510685840

In the surge of the digital era, the role of educational information systems is increasingly prominent, serving as essential tools to enhance teaching quality and management efficiency. This paper addresses the limitations of traditional educational information systems in handling complex, multi-source data, particularly the challenges in data integration and information correlation, proposing an innovative design approach. Through deep learning technologies, notably a multi-source information correlation method based on convolutional neural networks (CNNs), this study aims to develop a system capable of effectively processing multi-source and multi-granular data within the educational domain. The system design encompasses the entire process from data collection and information correlation to system construction, striving to provide the educational sector with an efficient, intelligent information processing platform. Experimental results demonstrate significant advantages of the system in terms of educational information accuracy and processing speed, promising innovative changes for educational management and pedagogical research. © 2024 SPIE.

关键词： Data modeling Data acquisition Data processing Machine learning Neurons Convolutional neural networks

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