Hybrid Intelligent Models for Chest X-Ray Image Segmentation

Filist, S. A.; Tomakova, R. A.; Degtyarev, S. V.; Rybochkin, A. F.

doi:10.1007/s10527-018-9748-5

Cited by 6 publications

(1 citation statement)

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“…где H1высота подъема антенны НКУ, м; H2высота подъема БПЛА, м. Антенна НКУ, как правило, является мобильной и устанавливается на высоте от 1 до 3 м (типовые значения) [9]. Графики зависимости максимальной дальности прямой видимости от высоты подъема БПЛА для типовых значений подъема антенны мобильного НКУ приведены ниже (рис.).…”

Section: материалы и методыunclassified

Evaluation of the Transmission Range of Videoinformation of Various Quality when Monitoring Emergency Situations from an Unmanned Aerial Vehicle

Alempiev,

Koptev,

Dovbnya

et al. 2023

jour

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The purpose of research The aim of the study is to estimate the maximum transmission range of video information of various quality from an unmanned aerial vehicle to predict its capabilities when monitoring an emergency situation. Methods. Research methods are based on the concepts of the theory of radio electronics, the theory of diagnostics and prognostics of the technical condition of unmanned aerial vehicles. The methods of multicriteria analysis, parametric and structural synthesis were used. The principles of transmitting video information from unmanned aerial vehicles used to monitor emergency situations are analyzed. A critical assessment of the maximum transmission range of video information from unmanned aerial vehicles during emergency monitoring has been made. Results. Graphs of the dependence of the energy reserve in the radio communication line between the unmanned aerial vehicle and the ground control system have been obtained, allowing to estimate the maximum values of the transmission range of video information of various quality in the 2.4 and 5.8 GHz bands when monitoring emergencies. The maximum line-of-sight range between the UAV and the UAV slightly depends on the lifting height of the antenna of the mobile UAV and at the lifting height of the UAV from 100 to 500 m is from 40 to 85 km. The maximum range of HD quality video transmission with the FM-4 UAV using Turbo 7/8 turbocoding in the 2.4 and 5.8 GHz bands is 3 and 7 km, respectively, and when transmitting FHD quality video information with the CAM-16 UAV using Turbo 7/8 turbocoding in the 2.4 and 5.8 GHz bands is 1.4 and 3.3 km. Conclusion. The development of a method for determining the maximum transmission distance of video and command-telemetry information allows for a more accurate assessment of the energy reserve in the radio communication line with an unmanned aerial vehicle. Unmanned aerial vehicles for direction finding and detection of rescue beacons of victims during search and rescue operations should be considered as promising areas of research in the field of the use of unmanned aerial vehicles in emergency situations.

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Section: материалы и методыunclassified

Evaluation of the Transmission Range of Videoinformation of Various Quality when Monitoring Emergency Situations from an Unmanned Aerial Vehicle

Alempiev,

Koptev,

Dovbnya

et al. 2023

jour

View full text Add to dashboard Cite

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Pneumonia Identification in Chest X-Ray Images Using EMD

Khatri

Jain

Vashista

et al. 2020

Lecture Notes in Networks and Systems

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Analysis and classification of X-ray images on the basis of intelligent agents in distributed systems

Tomakova

Egorov

Tomakov

et al. 2021

J. Phys.: Conf. Ser.

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The purpose of the research is to create new informative Internet technologies that would provide creators of intellectual research systems with available information for constructing training and control samples. An information and diagnostic system based on the formation of a unified structured knowledge base, which is intended for the analysis and classification of X-ray images, is proposed. Research methods for the developed information technology for the synthesis of X-ray classifiers are “the Interior”. The Interior can be presented as a computer program, an autonomous Interior agent, which allows interactively carrying out research on meta-analysis of the classifiers efficiency. The function of the Interior is to build an X-ray classifier with the connection of many users with different databases. The result of the research is the formation of a unified structured knowledge base. The basis of the Interior is a DBMS containing: image files, files of marks of morphological formations, files of personal data, files of meta-analysis results, and files of classifiers. Integration into interiors-associates allows you to build a distributed system of intelligent agents. Based on this system, it becomes possible to form classifiers for global use, as well as to carry out a meta-analysis of the diagnostic procedures effectiveness.

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Hybrid Intelligent Models for Chest X-Ray Image Segmentation

Cited by 6 publications

References 0 publications

Evaluation of the Transmission Range of Videoinformation of Various Quality when Monitoring Emergency Situations from an Unmanned Aerial Vehicle

Evaluation of the Transmission Range of Videoinformation of Various Quality when Monitoring Emergency Situations from an Unmanned Aerial Vehicle

Pneumonia Identification in Chest X-Ray Images Using EMD

Analysis and classification of X-ray images on the basis of intelligent agents in distributed systems

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