Intelligent Monitoring System for Solving Large-Scale Scientific Problems in Cloud Computing Environments

Skatkov, A. V.; Brjuhoveckij, A. A.; Moiseev, D.V.; Abramov, T. A.

doi:10.15217/issn1684-8853.2017.2.19

Cited by 9 publications

(3 citation statements)

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“…At this stage it is assumed to use the principal component and multidimensional scaling methods. At the stage of "data analysis", hidden insights are supposed to be identified by the mutual correlation (quantitative and qualitative) of the user's characteristics of the media environment [13][14]. To do this, we plan to use the canonical correlation method.…”

Section: Figure 1: Classification Of Influence Modelsmentioning

confidence: 99%

Models of the threat of virus idea dissemination in information-telecommunication networks

2021

Proceedings of the III International Workshop on Modeling, Information Processing and Computing (MIP: Computing-2021)

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The work is devoted to solving the problems associated with the spread of viruses and ideas in the field of research on the processes of reintegration of post-conflict societies. As you know, information and telecommunication networks currently include all kinds of means of switching subscribers, the most common and popular are social networks, which in fact provide an almost complete set of opportunities for exchanging multimedia information between users. The virus must be aware that some «information networks" and "are instantly perceived by active participants in social networks». Effective protection of subscribers from the threat of spreading the virus idea is a serious problem, especially for the development and reintegration of post-conflict societies, since the modern Internet provides not only mobilization and technological opportunities, but also has an informational and psychological impact on individual and mass consciousness. The virus idea, in turn, should be understood as a certain information message, which is often "thrown in" by the media and instantly picked up by the active part of social network subscribers.

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Section: Figure 1: Classification Of Influence Modelsmentioning

confidence: 99%

Models of the threat of virus idea dissemination in information-telecommunication networks

2021

Proceedings of the III International Workshop on Modeling, Information Processing and Computing (MIP: Computing-2021)

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“…Ensuring industrial and environmental safety in the development of mineral deposits is one of the most important tasks in our time [1][2][3]. In the current century, with the rapid development of digital technologies, issues of monitoring the state of mining naturaltechnical systems have moved to another plane [4][5][6]. Two decades ago, hardware for collecting and transmitting real-time information was not available, and the cost was too high.…”

Section: Introductionmentioning

confidence: 99%

Slope Monitoring Systems Design for Mining Enterprises

et al. 2020

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The fast development of technologies for the collection, processing and interpretation of information, as well as significant complication of mining natural-technical systems, leads to the emergence of a need to revise the principles of monitoring mining facilities. The operation of modern sloping structures in mining enterprises is associated with high industrial and environmental risks, since the possibility of emergencies remains, and the scope of the accident consequences can be continental. The current conditions of mining require the development of new principles to assess and forecast the status of dumps, open pit slopes, tailings dams, and hydraulic dumps. The developed typification of mining and geological phenomena and factors that affect the stability of sloping structures allows the design of monitoring systems of their state with consideration to each object’s specifics. Besides, this approach is formalized and allows its implementation in conditions of digital technologies progress. The development of detailed models of slope structures, which should become their digital twins, at last, enables to evaluate the current state of the observed object at all stages of its life cycle, based on received surveying, engineering-geological and hydrogeological information, and predict the slope structure behavior in the short term and medium term. The main task to be solved is the creation of principles for the organization of monitoring at mining enterprises that will enhance environmental and industrial safety in conditions of significant complication of mining and geological conditions of operated mineral deposits.

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“…In [3], an approach to developing an intelligent monitoring system for solving large-scale scientific problems in cloud computing environments in the context of a lack of a priori information about the state of the environment is considered. A set of models for the classification of information situations is presented, allowing cloud brokers to support the decision-making process for choosing the optimal strategy for solving monitoring tasks.…”

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confidence: 99%

Detection of anomalies of the aquatorium ecosystems of Sevastopol on the basis of the markov model

2019

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This paper is devoted to the development of the Markov model for the detection of anomalies of ecosystems of the waters of the city of Sevastopol. The states of the objects under study, the algorithm for constructing the matrix of transition probabilities and determining the final probabilities are presented. Some of the important applications of anomaly detection based on the Markov model are the prediction and recognition of anomalies.

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Intelligent Monitoring System for Solving Large-Scale Scientific Problems in Cloud Computing Environments

Cited by 9 publications

References 0 publications

Models of the threat of virus idea dissemination in information-telecommunication networks

Models of the threat of virus idea dissemination in information-telecommunication networks

Slope Monitoring Systems Design for Mining Enterprises

Detection of anomalies of the aquatorium ecosystems of Sevastopol on the basis of the markov model

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