Наведено алгоритм побудови сенсорної мережі кластерної структури на основі триколірної евристики. Описано програмний продукт, який реалізує вказаний алгоритм та дає змогу досліджувати сенсорні мережі цього класу. Наведено результати досліджень життєвого циклу сенсорної мережі при виході з ладу сенсорів у результаті їх відмови.
Purpose of the article is the research of the modern trends of global innovation clusters development in Canada that based on public-private partnership model, and to identify their features during last years. The hypothesis is that it is possible to formulate the hypothesis that at the postwar period, Ukraine would form a new innovation strategy that will push country to become global competitively and innovatively.
Recommender systems play a vital role in the marketing of various goods and services. Despite the intensive growth of the theory of recommendation algorithms and a large number of their implementations, many issues remain unresolved; in particular, scalability, quality of recommendations in conditions of sparse data, and cold start. A modified collaborative filtering algorithm based on data clustering with the dynamic determination of the number of clusters and initial centroids has been developed.
A critical analysis of globalization processes in the economy is considered and conducted, with an emphasis on the factors of increasing competition. It is established that due to the development of scientific and technological progress of new approaches to socio- economic development requires the formulation of a new type of institutional environment. It is argued that an important tool for increasing the competitiveness of the economy are the processes of adaptive clustering.
In wireless sensor networks, the clustering method is often used to transmit information, which is one of the most energy efficient approaches. Since the master cluster node interacts with other nodes in the network, a node with a high residual energy is selected to perform its functions. The technology of selecting the main node based on fuzzy logic, which involves the use of a number of input parameters, the effect of which is demonstrated in the article, is proposed.
There are various approaches to describing, comparing and converting data nowadays, but there are challenges that require new methods. This article describes the combination of some cluster comparison approaches for the flexibility of design systems. This approach can reduce the impact of missing data when comparing clusters. This method is used in the system of comparison of partner employment schedules, where there is no constant flow of data from the user and the data itself has big differences.
The algorithmic approach to the evaluation optimality of clustering results by distance criterion is proposed. The approach is based on solving two-criterion optimization by building and evaluating the optimality criteria in the form of index functions.
Theoretical framework and methodological approaches to clustering mountain spruce stands Ukrainian Carpathians in the group with regard exposition-orographic characteristics include their location and types of site conditions. According to the research groups of the combined effect types site conditions and exposition-orographic characteristics slopes the peculiarities of growth and established trends and patterns of the dynamics of the main assessments indicators of mountain spruce forests stands of Ukrainian Carpathians.
The transition to building Smart City, Smart House and other places using M2M imposes tight network requirements. This includes delays, bandwidth, transmission duration. When introducing M2M, an important feature is reducing the sensor’s power consumption when transmitting information and the amount of signaling information to the 4G/5G mobile heterogeneous network base station. To do this, the paper proposes to combine sensors into clusters in which the main sensor acts as a gateway for all others.
This article deals with the principles of organization of hybrid architecture of cluster computing based on the use of computing opportunities of the CPU and GPU with support for GPGPU. The advantages and disadvantages of this method of calculation have been analyzed, and the feasibility of realization of parallel programs based on the use of a hybrid architecture of cluster computing has been demonstrated. A software framework that can be used to develop the applications has been implemented on the basis of the proposed programming model.