Threat Assessment Method for Intelligent Disaster Decision Support System

Zharikova, Maryna; Sherstjuk, Volodymyr

doi:10.1007/978-3-319-45991-2_6

Cited by 16 publications

(4 citation statements)

References 7 publications

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“…The natural disaster spreads within a certain terrain (ter ritory), the model of which is represented as territorial system (TS) Ξ. TS model is represented in the form of subspace Х of twodimensional Euclidean space with given norm, metric and overlapped lattice of square cells of equal area [10,11].…”

Section: Methods Of Researchmentioning

confidence: 99%

“…Incomplete ness and inaccuracy of defining the different events char acteristics, common to natural disasters, allow softening demands to the accuracy of input information representa tion. In consequence, the required system response speed can be achieved using some roughening (blurring) of the spatial model, which allow decreasing the requirements as to natural disaster model in terms of accuracy [10,11].…”

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

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Developing the model of ecosystem in natural disasters conditions

Zharikova

2017

TAPR

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На основі проведених експериментальних досліджень встановлено, що при словесній розбірливості менш 20-30 % важко встановити навіть предмет ведення розмови, а при розбірливості мови менше 10 % -це неможливо. Надійне маскування досягається в тому випадку, коли отримана зашумлена мова має словесну розбірливість не більше 20 % (на практиці це відповідає сприйняттю окремих вигуків і окремих «знайомих» слів). влияние осоБенностей каналов утечки информации на раЗБорчивость перехваченных речевых сооБщенийИсследована защищенность акустических каналов утечки информации. Построена зависимость словесной разборчивости речи от отношения сигнал/помеха и сигнал/белый шум. В ка честве помех выступали характерные для офисного помещения акустические сигналы. Выявлено влияние на разборчивость речи семантической составляющей в сообщении и возмож ность её многократного прослушивания. Установлено, что для гарантированной защиты речевой информации должно быть реализовано отношение сигнал/белый шум не более 20 дБ.ключевые слова: разборчивость речи, семантический текст, утечка информации.Ликов Юрій Володимирович, кандидат технічних наук, кафедра основ радіотехніки, Харківський національний університет радіоелектроніки, Україна, Морозова Ганна Дмитрівна, кафедра основ радіотехніки, Україна, ORCID: http Zharikova m.

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Section: Methods Of Researchmentioning

confidence: 99%

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

Developing the model of ecosystem in natural disasters conditions

Zharikova

2017

TAPR

Self Cite

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“…Zharikova and Sherstjuk propose a qualitative danger and threat assessment method based on the principle of the maximal allowable limits for an intelligent disaster decision support system. Their method employs the rough set based plausible disaster spreading model and the formal model of the territorial system.…”

Section: Related Workmentioning

confidence: 99%

A Dempster‐Shafer theory and uninorm‐based framework of reasoning and multiattribute decision‐making for surveillance system

Liu

Luo

et al. 2019

Int J Intell Syst

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Closed-circuit television and sensor-based intelligent surveillance systems have attracted considerable attentions in the field of public security affairs. To provide real-time reaction in the case of a huge volume of the surveillance data, researchers have proposed eventreasoning frameworks for modeling and inferring events of interest. However, they do not support decisionmaking, which is very important for surveillance operators. To this end, this paper incorporate a function of decision-making in an event-reasoning framework, so that our model not only can perform event-reasoning but also can predict, rank, and alarm threats according to uncertain information from multiple heterogeneous sources. In particular, we propose a multiattribute decision-making model, in which an object being watched is modeled as a multiattribute event, where each attribute corresponds to a specific source, and the information from each source can be used to elicit a local threat degree of different malicious situations with respect to the corresponding attribute. Moreover, to assess an overall threat degree of an object being observed, we also propose a method to fuse the conflict threat degrees regarding all the relevant attributes.

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“…Based on this, we can use soft topological spaces to build a spatial model of the destructive process, as well as the fuzzy rough method for its blurring [21,22]. The aim of this work is to develop the approximate spatial model of the destructive process within GETS in disaster conditions [14]. To overcome the computational complexity problem, we build a topological spatial model and soften the effects of discretization using the fuzzy rough sets.…”

Section: Introductionmentioning

confidence: 99%

A model of destructive processes based on interval fuzzy rough soft sets

Zharikova

Sherstjuk

Wójcik

et al. 2019

ELECTROTECHNICAL REVIEW

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This work presents a spatial model of destructive processes for the real-time GIS-based decision support systems. A dynamic fuzzy rough soft topology represents a structure of a geoecotechnogenic system that contains a multitude of interacting processes, which evolve in space and time. In disaster conditions, some of the interacting processes can be destructive. Their dynamics are modeled using the spread model. The area of interest is represented as an approximation by a grid of cubic cells. This allows taking into account the peculiarities of the initial information obtained from drones using remote sensing techniques and having a significant uncertainty. The proposed model reduces the computational complexity and provides the acceptable performance of real-time DSS. Streszczenie. W niniejszej pracy przedstawiono przestrzenny model destrukcyjnych procesów dla systemów wspomagania decyzji opartych na GIS w czasie rzeczywistym. Dynamicznie rozmyta topologia przybliżona reprezentuje strukturę geo-eko-techno-gennego systemu, który zawiera wiele interakcji procesów, które ewoluują w przestrzeni i czasie. W warunkach katastrofy niektóre z oddziałujących procesów mogą być destrukcyjne. Ich dynamika jest modelowana przy użyciu modelu spreadu. Obszar zainteresowania jest reprezentowany jako przybliżenie przez siatkę komórek sześciennych. Pozwala to na uwzględnienie specyfiki początkowej informacji uzyskanej z dronów za pomocą technik teledetekcji i posiadającej znaczną niepewność. Proponowany model zmniejsza złożoność obliczeniową i zapewnia akceptowalną wydajność DSS w czasie rzeczywistym. (Model procesów destrukcyjnych opartych na interwałowych rozmytych zbiorach przybliżonych).

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Threat Assessment Method for Intelligent Disaster Decision Support System

Cited by 16 publications

References 7 publications

Developing the model of ecosystem in natural disasters conditions

Developing the model of ecosystem in natural disasters conditions

A Dempster‐Shafer theory and uninorm‐based framework of reasoning and multiattribute decision‐making for surveillance system

A model of destructive processes based on interval fuzzy rough soft sets

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