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 annual...
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Subject of study. This study investigates multisensor opticalsystems developed for biomedical research, focusing on methodologies for applying a multisensor approach to optical biomedical diagnostics. Aim of study. T...
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Subject of study. This study investigates multisensor opticalsystems 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
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...
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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
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 processingvideo information ...
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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 processingvideo information and evaluates the possibility of using these algorithms in technical systems. (c) 2022 Optica Publishing Group
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 lo...
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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 calibrat...
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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., dire...
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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. Neve...
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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 ...
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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.
In the surge of the digital era, the role of educational informationsystems is increasingly prominent, serving as essential tools to enhance teaching quality and management efficiency. This paper addresses the limita...
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