Decision Support in Management of Hardware-Software Complex Functional Safety on the Basis of Ontological Engineering

Gvozdev, Vladimir; Chernyakhovskaya, Liliya; Davlieva, Aliya

doi:10.1109/rusautocon.2018.8501741

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The study of the compensating possibility for the efficiency loss in one of the system nodes at the expense of its other nodes is described in detail in [34][35]. The algorithm is described in detail in the work [36].…”

Section: The Formal Statement Of the Problemmentioning

confidence: 99%

Information Support to Provision Efficiency of the System with the Multi-functioning

Gvozdev¹,

Galimov²,

Davlieva³

2019

Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019)

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In this paper, an approach to building a system is proposed, the basis of which target efficiency management is use of people's psychological characteristics, and not hardware redundancy. The special case is considered on the example of the telephone conversations registration, where, as a solution to the problem of loss efficiency, this is ensured by a time limit for conducting negotiations. The paper considers cases when the system has 16, 32 or 48 channels. An example is given under what conditions it is necessary to limit the duration of telephone conversations. The case of using a proactive approach as a prediction for estimating a range of requests is described, which will allow solving the problem of managing the flow of requests. The novelty of the proposed approach to improving the efficiency of systems, in contrast to the classical approaches, consists in taking into account the psychological characteristics of people interacting with the technical system. Keywords-target efficiency, hardware and software complex, system survivabilityI.

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Section: The Formal Statement Of the Problemmentioning

confidence: 99%

Information Support to Provision Efficiency of the System with the Multi-functioning

Gvozdev¹,

Galimov²,

Davlieva³

2019

Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019)

Self Cite

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“…This leads to the impossibility of forming a correlation table. In addition, the volume of data characterizing the complexity and time of defect elimination are definitely different as various types of defects can be revealed in one software [20]. However, the defects belonging to one class can be considered to be homogeneous in statistical terms as they are obtained in one organization.…”

Section: Formal Problem Statementmentioning

confidence: 99%

Providing Functional Safety of Hardware-Software Complexes as Mandatory Condition of Forming Digital Eco-Environment at Innovative Project Implementation

Gvozdev¹,

Levkov²,

Blinova³

et al. 2019

Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)

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A key part digital eco-environment plays at the implementation of innovative projects brings about qualitative changes of requirements towards the functional safety of hardware-software complexes. The paper dwells upon the issues of increasing the functional safety of hardware-software complexes by means of reasonable resource allocation for locating and eliminating defects. The purpose of the research is the development of the information support of planning resources for defect elimination in software modules. The scientific idea is the development of the method of building linear regression dependencies on the basis of common use of expert assessments and measuring data. The approach novelty consists in the transformation of expert assessments and measuring data towards a single form of the random value distribution law.

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“…In [5][6][7][8][9][10][11][12][13] is described the method for construction of assessments of the random variables distribution laws based on various forms of expert assessments. The conceptual basis of the method is made the well-known entropy maximization principle [14,15].…”

Section: Assessments Construction Of the Random Variables Distrimentioning

confidence: 99%

The Method for Linear Regression Models Constructing Based on the Sharing of Measured Data and Expert Assessments

Gvozdev¹,

Bezhaeva²,

Akhmetova³

et al. 2019

Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)

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The paper discusses the classical approaches to the construction of regression models on the basis of independent and dependent random variables distribution laws. Regression dependencies are one of the main tools for constructing empirical descriptive models, at present moment the theoretical apparatus for constructing regression models has been developed. In the paper analysis of approaches to the construction of the one-dimensional regression dependencies is carried out The analysis allows to conclude that the known methods for constructing of regression models focused on the processing of jointly observed measured data. The authors of the paper propose the method for constructing linear based on the sharing of measured data and expert assessments. Methodological basis for ensuring the comparability of measured data and expert analysis is to convert it to a form of random variables distribution laws. Transformation of expert assessments to the form of continuous random variables distribution laws allows to developed the formal procedure for the construction of linear regression based on the sharing of measured data and expert assessments. Due to the proposed method for constructing of linear regression dependencies in the paper is shown an example of the assessments calculating of paired correlation coefficient and parameters of linear regression dependencies Keywords-regression models, jointly observed measured data, the sharing of measured data and expert assessments, random variables distribution law, linear regression dependencies, paired correlation coefficient I. In [3], a method for constructing non-parametric onedimensional regression dependencies is described, based on

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Decision Support in Management of Hardware-Software Complex Functional Safety on the Basis of Ontological Engineering

Cited by 3 publications

References 5 publications

Information Support to Provision Efficiency of the System with the Multi-functioning

Information Support to Provision Efficiency of the System with the Multi-functioning

Providing Functional Safety of Hardware-Software Complexes as Mandatory Condition of Forming Digital Eco-Environment at Innovative Project Implementation

The Method for Linear Regression Models Constructing Based on the Sharing of Measured Data and Expert Assessments

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