Download Advances in Intelligent Systems and Computing: Selected by Natalya Shakhovska PDF

By Natalya Shakhovska

The e-book experiences on new theories and purposes within the box of clever structures and computing. It covers computational and synthetic intelligence tools, in addition to advances in machine imaginative and prescient, present factor in enormous info and cloud computing, computation linguistics, cyber-physical structures in addition to issues in clever info administration. Written through energetic researchers, the several chapters are in line with contributions provided on the workshop in clever platforms and computing (ISC), held in the course of CSIT 2016, September 6-9, and together geared up by means of the Lviv Polytechnic nationwide collage, Ukraine, the Kharkiv nationwide college of Radio Electronics, Ukraine, and the Technical collage of Lodz, Poland, less than patronage of Ministry of schooling and technological know-how of Ukraine. All in all, the e-book presents teachers and pros with wide details and a well timed picture of the sphere of clever structures, and it really is anticipated to foster new discussions and collaborations between diversified groups.

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Fin. 7(1), 77–91 (1952) 11. : Operational risk management using a fuzzy logic inference system. Borradores de Economia. 574, 9–24 (2009) 12. : A multicriteria decision support system for competence-driven project portfolio selection. Int. J. Inf. Technol. Decis. Mak. 8, 379–401 (2009) 13. : Induction of fuzzy decision trees and its refinement using gradient projected-neuro-fuzzy decision tree. Int. J. Adv. Intell. Paradig. 6, 346–369 (2014) 14. : A fuzzy set approach for R&D portfolio selection using a real options valuation model.

Written in C++. Database operated sets JSON-like documents stored in binary format BSON. 32 I. Shvorob Fig. 1 Schematic representation of the document-oriented database There are six basic concepts for document-oriented databases, the example MongoDB [4]. 1. MongoDB—conceptually the same thing as usual, familiar to us database. Inside MongoDB can be zero or more databases, each of which is a container for other entities. 2. The database may have zero or more “collections” (Fig. 1). The collection is so similar to the traditional “table” that can safely consider them the same.

The structure of the control object is represented by a set of PMs, each of which is characterized by the hardware and operating platform and has a fixed capacity of resources. Each PM enables a multiple virtual machine allocation. PMs are connected using some form of topology and constitute the data center. Switching equipment that provides the connection and interaction of the PMs is functioning at L2 and L3 levels with the OpenFlow support. PMs are grouped into racks and are connected to the top of the rack switch (ToR switch).

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