This paper aims to analyze effective approaches waste management in agro-industrial cluster. It considers the studies confirming relevance and importance of development technologies for processing recycling from cluster, and, particular, pig farms. The methods system analysis, information synthesis, statistical data analysis were used identify existing problems. period 2000 2020 was considered....

Resource Management Systems (RMS) can be used to improve the utilization of a cluster of workstations or processors. In a system which has a mixture of interactive and batch work and a mixture of serial and parallel jobs there is no single measure which determines the effective utilization of the cluster. We propose a mathematically well-defined procedure for determining an ensemble of states “...

The efficient use of energy source in a sensor node is most desirable criteria for prolong the life time of wireless sensor network. In this paper, we propose a two layer hierarchical routing protocol called Cluster Based Hierarchical Routing Protocol (CBHRP). We introduce a new concept called head-set, consists of one active cluster head and some other associate cluster heads within a cluster....

Self-injurious behaviours (SIB) can provide useful criteria for subtyping heroin-dependent patients, since SIB have been related to an opioid system dysfunction and they hinder patient management. The frequency of nine varieties of moderate/superficial SIB during active heroin use was assessed retrospectively in 164 heroin-dependent patients. A principal component analysis of SIB episodes revea...

The robot soccer game, as a part of standard applications of distributed system control in real time, provides numerous opportunities for the application of AI. Real-time dynamic strategy description and strategy learning possibility based on game observation are important to discover opponent’s strategies, search tactical group movements and synthesize proper counter-strategies. In this paper,...

Although there are many excellent clustering algorithms, effective clustering remains very challenging for large datasets that contain many classes. Image clustering presents further problems because automatically computed image distances are often noisy. We address these challenges in two ways. First, we propose a new algorithm to cluster a subset of the images only (we call this subclustering...

At the beginning, each point is treated as an individual cluster. In each step, two clusters with the largest similarity are merged into a new one. The backward strategy is applied after the generation of a new cluster. In the example, in steps (b)–(f), no boundary document is found in the generated cluster and reallocation does not occur. In step (g), two documents located in the middle are me...

Popularity and complexity of cloud data management systems are increasing rapidly. Thus providing sophisticated features becomes more important. The focus of this paper is on (self-)tuning where we contribute the following: (1) we illustrate why (self-)tuning for cloud data management is necessary but yet a much more complex task than for traditional data management, and (2) propose an model to...