INFORMATİON TECHNOLOGİES

A relational database is a collection of data items organized as a set of formally-described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. NoSQL is a relational database that has a very specifc organizational philosophy, including the SQL query language, the transaction integrity principle (ACID), and the standardization laws.

Value is characteristic is the added value that the analysis of the data represents and the usages that can be made of it.

Big Data requires unmatched hardware capacity, both for storage and for processor resources needed for processing. This requirement is related to cloud computing.

Active objects can be equipped with several sensors, have greater storage capacity, have a processing capacity or be able to communicate over a network. Those are the devices for collecting, storing, transmitting and processing data from the physical world. The most common hardware for those active objects are embedded systems. An embedded system is a complex system that integrates software and hardware designed together to provide specific functionality.

Environmental Solutions: Distributed information system which gathers data from multiple points provide control such as air pollution, rainfall situation, dam infestation, forest fire. The system warns the authorities to intervene in an emergency.

The “private cloud” is a computer infrastructure (network of connected computers to provide services) mainly dedicated to the needs of a single organization. They are located and controlled either by companies’ IT department or third party services (in the traditional form of hosting server), to have a precise control on data. The private clouds can be compared to traditional data centers.

The advantages of the cloud technologies:

Control and Reliability: The biggest fear of cloud computing lies in its main advantage - the ability to outsource the IT power to a specialized provider.

The machine learning is one of the core areas of artificial intelligence (AI) and deals with the implementation of systems and algorithms that are based on observations as data for the synthesis of new knowledge (inductive reasoning). Learning can take place by capturing characteristics of interest from examples, data structures or sensors, to analyze and evaluate the relationships between the observed variables.

The process of interaction with virtual objects actually happens, but obviously can not be compared to what happens in the real world. In order to achieve certain results must be provided with a graphical user interface (representing the virtual world) and, in particular, three main variables should be handled:

Space: This element can be changed at will. This possibility is the fact that it is a simulated environment and not the real space.
Time: the perception of this magnitude can be very different depending on the situations in which a person is to find and what is happening around the observer.
Interaction: environments and situations are not static but are generated depending on the user behavior, which is a protagonist of the events.

Immersive Virtual Reality (IVR): It defines immersive when it is able to create a sense of sensory immersion in three-dimensional computer generated. This feeling is enhanced by the ability to interact in real time with the objects depicted in the virtual space.