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Today, the IT-infrastructures are widely used in various spheres of life. The advent of large Data Center(DC) has caused a problem of there resources management. One of this problem aspect is to allocate the DCs virtual machines(VMs) and load. Migration opportunity have added to the complexity of this problem. In this paper, the most used forecasting models are estimated with the aim of instrument...
This article is devoted to the developed method of development Smart-House-Systems Models, based on Petri-Markov Nets, and extended by functional components (sensors and actuators).
The methodological principles model of fuzzy expert system of assessing the impact of environmental pollution on mortality in Ukraine was developed in the work. The approach, which allows to determine the proportion of the total deaths caused by destructive influence continuous pollution (emissions, discharges and waste) and social and natural and economic conditions have been proposed. On the basis...
In this paper we present the report on the design and development of a platform for the inter-generational exchange of favors. This platform was designed using participatory design approach during a 24-hour hackathon by a team consisting of younger programmers and older adults. The findings of this report show that inter-generational cooperation in which the older adults serve as representatives of...
The article introduces the pioneered concept of the strict line hypergraph and proves that the function of its formation is an involution. This background forms the basis for specifying the duality relation between the vertex separators and cuts in hypergraphs. All significant considerations are presented in the form of theorems accompanied with their rigorous proofs and discussions of the specific...
The article reviews current research issues concerning the latest information technologies for effective virtual representation of a Higher Educational Institution, which serve to create its positive informational image in the global world community. The information activities of the university departments and offices are analyzed. The methods identifying university departments with low production...
In the article information technologies of optimization of structures of the technical systems are examined at numerical bundles as comfortable mathematical models with a non-uniform structure on the example of development of models of quasibarker and pseudocasual sequences, development of optimal charts of renewal for the up-diffused calculations, development of effective filters of images, development...
The current state of the development of education in Ukraine in the field of information technology is analyzed. The ways of improving the efficiency of the educational training in the field of information technology are suggested.
Methods, algorithms and structures of neural networks were analyzed. Basic components of neural networks were defined and the principles of their development were chosen. It was shown that use of vertical-parallel method for implementation of work algorithms of neural networks basic components provides increased performance, reduce hardware costs and efficient VLSI implementation. Parallel-consequent...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Method for clustering and interval analysis of heterogeneous data sample is considered in the paper and it is shown an algorithm for method implementation. An example of applying of the developed method and the algorithm is represented.
The paper presents a new mechanism to apply evolutionary complication of models in the previously introduced hybrid COMBI-GA sorting-out algorithm to find optimal model structure. The mechanism is based on generation of model structures using binomial random number generator with low probability and specific mutation operator. The presented experimental results demonstrate that this algorithm performs...
The paper presents theoretical grounds of recurrent-and-parallel computing applying in combinatorial GMDH algorithm for modeling and prediction of complex multidimensional interrelated processes in the class of vector autoregressive models. The effectiveness of the constructed algorithm is demonstrated by modeling of interrelated processes in the field of Ukraine energy sphere with the purpose of...
The paper considers the constructing issue of ontology for the GMDH-based inductive modeling domain. It examines the main components of the GMDH algorithms in terms of their synthesis for designing the domain ontology. Such ontology significantly expands opportunities for construction of inductive modeling tools for model building and forecast of complex processes of different nature.
An architecture and learning methods for a growing neuro-fuzzy system that enlarges an amount of layers and tunes their synaptic weights in an online way are introduced in the paper. A structure of the hybrid system is built with the help of extended neo-fuzzy neurons which are characterized by improved approximating capabilities. The main peculiar feature of the introduced system is a learning method...
The paper presents the results of the research of the clustering algorithm DBSCAN practical implementation within the framework of the objective clustering inductive technology. As experimental, the data Aggregation and Compound of the Computing school of the East Finland University and the gene expression sequences of lung cancer patients of the database ArrayExpres were used. The architecture of...
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