Social Risk Assessment Mechanism Based on the Neural Networks

Mukhin, Vadym; Komaga, Yaroslav; Zavgorodnii, Valerii; Zavgorodnya, Anna; Herasymenko, Oksana; Mukhin, Oleg

doi:10.1109/atit49449.2019.9030519

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…converts object-specific information; -forms a unified information space; -provides users with information about objects. There are known procedures for integrating automation systems with a unified information space [15][16][17] and semantic search [18][19][20][21]. The methods that identify an incoming object within the unified information space are much in demand, which is confirmed by works [22][23][24].…”

Section: The Study Materials and Methodsmentioning

confidence: 99%

Devising a method to identify an incoming object based on the combination of unified information spaces

Mukhin¹,

Zavgorodnii²,

Kornaga³

et al. 2021

EEJET

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This paper suggests a method to search for an incoming object in order to identify its unambiguously, based on the integration of information spaces into intermediate unified information space. At the same time, the incoming object identification process involves appropriate attributes. This paper describes the process of information object arrangement within a unified information space that forms for a set of dynamically changing objects. It should be noted that each subject in the set collects information about the environment, including interaction with other objects. In the process of forming a unified information space, the information system collects information from data sources that are represented in different formats. The system then converts this information and forms a unified information space, thereby providing users with information about objects. A two-tier system of connections at the global (cloud) and local (fog) levels of interactions has been considered. At the same time, it should be noted that a unified information space formation requires the implementation of tools to support the transformation of information objects; that necessitates the implementation of translators ‒ special converters at different levels. A method to combine information spaces into an intermediate unified information space has been proposed; analysis was performed to determine the time and efficiency of the search for incoming objects within it. It was experimentally established that the more parameters that describe an information object, the less the time to identify an object depends on the length of the interval. It has also been experimentally shown that the efficiency of finding incoming objects tends to be a directly proportional dependence while reducing the length of the interval and increasing the number of parameters, and vice versa

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Section: The Study Materials and Methodsmentioning

confidence: 99%

Devising a method to identify an incoming object based on the combination of unified information spaces

Mukhin¹,

Zavgorodnii²,

Kornaga³

et al. 2021

EEJET

Self Cite

View full text Add to dashboard Cite

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“…In the articles [8][9][10][11][12][13][14][15][16][17][18] are presented the different approaches to the analytical assessments of the parameters of distributed computer systems and of the information spaces.…”

Section: Literature Surveymentioning

confidence: 99%

Method of Parallel Information Object Search in Unified Information Spaces

Dodonov¹,

Mukhin²,

Zavgorodnii³

et al. 2021

IJCNIS

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The article describes the concept of a unified information space and an algorithm of its formation using a special information and computer system. The process of incoming object search in a unified information space is considered, which makes it possible to uniquely identify it by corresponding features. One of the main tasks of a unified information space is that each information object in it is uniquely identified. For this, the identification method was used, which is based on a step-by-step analysis of object characteristics. The method of parallel information object search in unified information spaces is proposed, when information object search will be conducted independently in all unified information spaces in parallel. Experimental studies of the method of parallel information object search in unified information spaces were conducted, on the basis of which the analysis of efficiency and incoming objects search time in unified information spaces was carried out. There was experimentally approved that the more parameters that describe the information object, the less the time of object identification depends on the length of the interval. Also, there was experimentally approved that the efficiency of the searching of the incoming objects in unified information spaces tends to a directly proportional relationship with a decrease in the length of the interval and an increase in the number of parameters, and vice versa.

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