Multilevel algorithm for color clustering of images

The fast multilevel algorithm to cluster color images (MACC – Multilevel Algorithm for Color Clustering) is presented. Currently, several well-known algorithms of image clustering, including the k‑means algorithm (which is one of the most commonly used in data mining) and its fuzzy versions, watershed, region growing ones, as well as a number of new more complex neural network and other algorithms are actively used for image processing. However, they cannot be applied for clustering large color images in real time. Fast clustering is required, for example, to process frames of video streams shot by various video cameras or when working with large image databases. The developed algorithm MACC allows the clustering of large images, for example, FullHD size, on a personal computer with an average deviation from the original color values of about five units in less than 20 milliseconds, while a parallel version of the classical k‑means algorithm performs the clustering of the same images with an average error of more than 12 units for a time exceeding 2 seconds. The proposed algorithm of multilevel color clustering of images is quite simple to implement. It has been extensively tested on a large number of color images.

METHODOLOGICAL PRINCIPLES OF THE TERRITORIES’ CLASSIFICATION WITH PARAMETERS OF THE RECREATIONAL NATURE USE

The article presents theoretical and methodological principles of researching the system of recreational nature resources use on different areas. Definition of the system, assessment of the resources, the territories’ recreational potential and their following differentiation are the paper’s tasks. Several academician and scientific methods have been applied: the structural analysis (composition of recreational resources), generalization (assessment of the industry’s status), mathematical (evaluation of the territories’ recreational potential), statistical analysis (classification of the territories by economic indicators), grouping the territories, and synthesis (elaboration of the multilevel algorithm of their differentiation). Recreational natural resources use is the part of the general system of the nature use. It is broader term than the recreational industry, since it includes protection and restoration of the resources. The multiplicative economic effect and joint use of recreational resources with other users are key features of the industry. Significant discrepancy between the scope of available recreational resources and intensity of their use are inherent for all Ukraine’s regions. The multilevel algorithm of the complex classification of the territories according to models of recreational nature use is to differentiate territories by type of settlements (urban, rural, intermediate), their proximity to urban centres (urbanized and peripheral), recreational potential (high, medium, low), and economic efficiency of industry (effective, moderately effective, inefficient). Accordingly three types of a territory’s development strategy have been identified: recreational specialization, major recreational industry, and internal recreations. The novelty of the research are the approach to determine essence, structure and functions of the system of recreational nature use, the set of criteria and indicators to evaluate recreational potential of the regions, and multilevel algorithm to classify territories and define models of their recreational use.

Multilevel Algorithm Feedback Queue for Restaurant Order System

The purpose of writing this paper is to advance a restaurant that is have started out or even developing, with this business process will be make it easy and integrated to be as simple as possible so that customers who come to a restaurant no longer need to queue. In order to improve the quality of education on an ongoing basis both input, process and output in a study program, applications are needed that can support business processes[1]. The author makes the analysis of the system running using the UML (Unified Model Language), Multilevel Algorithm method used for analyzing the running system. The author designed this application so that the data that will be managed is integrated with the database, can be connected directly to the restaurant website and provide notifications to orders so that it makes will easy for customer to know the order process. The author focuses on combination scheduling order food and multilevel algorithm for queue restaurant order system