A decision tree in a classification of fire hazard factors

Pashynska, Nataliia; Snytyuk, Vitaliy; Putrenko, Viktor; Musienko, Andriy

doi:10.15587/1729-4061.2016.79868

Cited by 18 publications

(7 citation statements)

References 6 publications

(7 reference statements)

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“…To analyze the changes that occur in forests due to forest fires, unauthorized and sanitary felling, and reproduction of forests, various mathematical methods are used [30][31][32][33]. If statistical information is represented in the form of time series, then it is possible to build trend lines based on known data.…”

Section: Methods For Analyzing Time Changes In Forest Plantationsmentioning

confidence: 99%

Development of the information system for monitoring time changes in forest plantations based on the analysis of space images

Svynchuk

Bandurka

Барабаш

et al. 2022

EEJET

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This study considers the issue of assessing the time changes in forest plantations and constructing an algorithmic and software system for monitoring these changes. Modern systems that study vegetation changes do not have the necessary functionality and do not cover the range of observations discussed in this paper. Existing research methods are intended only to record changes that occur in forest ecosystems and take into consideration the peculiarities of a certain natural zone, which limits their use. At the same time, it should be understood that the requirements for modern systems should include additional components that could make the system universal and mobile. A comparative analysis of satellite images acquired from remote sensing by the Landsat 8 satellite system has been carried out to determine the areas affected by forest fires. During the classification, spectral analysis was used, and an index of fires was determined to indicate the burned areas. To analyze the changes that occur in forests due to fires, correlation-regression analysis is used. It has been proven that the area of sanitary felling after fires and the area of forest land traversed by fires demonstrated the greatest interconnection. The extrapolation and forecasting were carried out using a regression data model, the effectiveness of which is confirmed by a coefficient of determination of 0.87. The dependences built make it possible to conclude that by 2030 the number of forest fires will increase while the area of burned forests will not decrease. The developed mobile application could be popular among a significant group of users to monitor fire events. The practical result is the introduction of the built system, which makes it possible to quickly monitor forest plantations after fires and assess the areas that were affected.

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Section: Methods For Analyzing Time Changes In Forest Plantationsmentioning

confidence: 99%

Development of the information system for monitoring time changes in forest plantations based on the analysis of space images

Svynchuk

Bandurka

Барабаш

et al. 2022

EEJET

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“…The key provisions of the theory of functional stability were later developed in O. V. Barabash [13][14][15], Yu. V. Kravchenko, V. A. Savchenko and others [8][9][10][11][12]. At the same time, the dependence of models and methods of the theory of functional stability on the scope of their application is obvious/ Problem statement However, despite the significant number of publications on addressing various aspects of functional stability to date, the problem of functional stability of wireless sensor networks remains unresolved.…”

mentioning

confidence: 99%

The Methodology for Evaluating the Functional Stability of the Protection System of Special Networks

Tolupa

Laptіev²

2022

SBT

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Information systems function under the influence of external and internal destabilizing factors. Under negative influence, system modules may fail. However, the systems must function offline for a specified time. Such a condition of functioning can be fulfilled by ensuring the property of functional stability. The property of functional stability was introduced due to the observation of the behavior of biological systems, organisms with the inherent property to fulfill given goals with physical damage due to biological redundancy: sets of sense organs, physiological analyzers, nerve fibers, the configuration of the brain as a control and information processing system, as well as symmetry body The main feature of functionally stable systems is their ability to degrade at the structural level until the system completely fails, that is, to exclude defective elements from the structure, to rebuild the structure, to adjust the system parameters. adapt to new operating conditions. The main means of ensuring functional stability is the introduction of redundancy (structural, software, time, etc.) during their design. The paper analyzes the existing scientifically based approaches to increasing the efficiency of complex technical systems, which include an intelligent automated control system. A technique for determining the features and indicators of the functional stability of the special purpose network structure, which provides communication between the UAV group and the operator, is proposed. Quantitative methods for assessing functional stability based on the above indicators are proposed. On the basis of these assessments, recommendations can be made on the construction of the structure or reasonable requirements for the structure of the wireless sensor network that will be designed and operated can be formulated. the main feature of functionally stable systems. It has been established that this is their ability to degrade at the structural level until the complete failure of the system, that is, to exclude defective elements from the structure, rebuild the structure, and adjust the system parameters to adapt to new operating conditions. It has been proven that the main means of ensuring functional stability is the introduction of excesses into their construction: structural, program, time, etc.

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“…У бездротових сенсорних мережах використовується алгоритм взаємної інформаційної узгодженості і його модифікації [4]. У поєднанні з алгоритмом парирування постійних несправностей з [5] дозволяє побудувати комбіновану процедуру діагностування майже усіх постійних (за винятком тих, що проявилися тільки в другому раунді міжсенсорного обміну) і частини прихованих несправностей. Поведінка сенсорного вузла при постійній відмові може бути довільною, але обов'язково однаковою по відношенню до всіх сенсорних вузлів з якими даний сенсорний вузол взаємодіє.…”

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Methods for diagnosing hidden and persistent failures in enterprise wireless sensor networks

Барабаш¹,

Sobchuk²,

Musienko³

et al. 2019

SEND

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Анотація. В роботі розглядається одна з основних властивостей складних технічних систем-функціональна стійкість. Побудова методики для діагностування несправностей в сенсорних вузлах бездротових сенсорних мережах підприємств. Дана методика дозволить бездротовим сенсорним мережам підприємств зберігати упродовж заданого часу виконання своїх основних функцій в межах, встановлених нормативними вимогами, в умовах впливу потоків відмов, несправностей, збоїв. Ключові слова: функціональна стійкість, бездротові сенсорні мережі.

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A decision tree in a classification of fire hazard factors

Cited by 18 publications

References 6 publications

Development of the information system for monitoring time changes in forest plantations based on the analysis of space images

Development of the information system for monitoring time changes in forest plantations based on the analysis of space images

The Methodology for Evaluating the Functional Stability of the Protection System of Special Networks

Methods for diagnosing hidden and persistent failures in enterprise wireless sensor networks

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