The approach to the development of intelligent decision support systems using ontology knowledge bases consisting of such systems in the article is considered. The classification of such systems in terms of their operation based on ontologies is carried out. The mathematical functioning of intelligent decision support systems and intelligent search system based on ontology is developed. The notion of adaptive ontologies is introduced. An adaptive ontology is proposed to define as an ontology with concepts and relations weighted according to its importance for a given subject domain. This model of ontology defines not only explicit, but also implicit knowledge. The mathematical functioning of intelligent decision support systems using adaptive ontologies formalizes decision making of such a system. Semantic metric based on adaptive ontologies was built, unlike other metrics, takes into account the causal relation between the concepts, not just their taxonomy. For feature problems mathematical software based on automated determination of properties of set concepts was developed, according to the values which the process of decision support was carried out.
A method of choosing swarm optimization algorithms and using swarm intelligence for solving a certain class of optimization tasks in industry-specific geographic information systems was developed considering the stationarity characteristic of such systems. The method consists of 8 stages. Classes of swarm algorithms were studied. It is shown which classes of swarm algorithms should be used depending on the stationarity, quasi-stationarity or dynamics of the task solved by an industry geographic information system. An information model of geodata that consists in a formalized combination of their spatial and attributive components, which allows considering the relational, semantic and frame models of knowledge representation of the attributive component, was developed. A method of choosing optimization methods designed to work as part of a decision support system within an industry-specific geographic information system was developed. It includes conceptual information modeling, optimization criteria selection, and objective function analysis and modeling. This method allows choosing the most suitable swarm optimization method (or a set of methods).
Context. The problem of accessibility of video content is one of the most pressing problem for people with visual impairments. To solve this problem, the methods and means of construction, editing and adaptation of video content for visually impaired persons are development.Objective. The goal of the work is to develop the method of searching silent areas in the scale for the imposition of typhlocomments and improve the search modules in the software-algorithmic complex of adaptation of video content for visually impaired persons.Method. The method of searching for places that free from dialogues and other important sounds in video content is implemented. These places of video content are used for inserting typhlocomments. The algorithms of scanning and filtration modules for arrays and searching places available for the imposition of the typhlocomments are developed. This will allow for additional smoothing of the spectrum. Smoothing runs in the forward direction, then in reverse. After calculating the correlation of these two smoothed arrays, we see that almost all the short signals are deleted. For the useful signal, the values that smoothed in the forward and reverse direction overlap and therefore remain in the array. Next, the correlation between the smoothed arrays is compared with the set threshold, and if it does not match the set value, then this element of the array is 0. As a result of the algorithm, we have a list of places. For each item in the list, the beginning of the silence place and its length are specified.Results. On the basis of the developed method of finding places to insert typhlocomments and improved modules, the testing of software-algorithmic complex was performed in standard configuration, and with the additional smoothing module. The first version of the software-algorithmic complex gave the next result: 120 useful pauses. Version with the additional module found 140 useful pauses.Conclusions. The results of the experiment make it possible to evaluate the developed method and improved modules of scanning, filtration and smoothing. These modules giving a significant gain of results (about 13%), searching for the places for the imposition of typhlocomments, which improves the adapted video content for people with visual impairments.
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