Digital cinema diagnostic system based on spectral analysis and artificial intelligence methods

In this paper digital cinema diagnostic complex is described. Its working algorithms are based on wavelet preprocessing, statistic analysis and neural network classification. Considered methods were practically incarnated using modern systems of computer modeling

DISTRIBUTED GENERATION OF COMPUTER MUSIC IN THE INTERNET OF THINGS

Problem Statement. The paper deals with distributed intelligent multi-agent system for computer music generation. A mathematical model for data extraction from the environment and their application in the music generation process is proposed. Methods. We use Resource Description Framework for representation of timbre data. A special musical programming language Csound is used for subsystem of synthesis and sound processing. Sound generation occurs according to the parameters of compositional model, getting data from the outworld. Results. We propose architecture of a potential distributed system for computer music generation. An example of core sound synthesis is presented. We also propose a method for mapping real world parameters to the plane of compositional model, in an attempt to imitate elements and aspects of creative inspiration. Music generation system has been represented as an artifact in the Central Museum of Communication n.a. A.S. Popov in the framework of «Night of Museums» action. In the course of public experiment it was stated that, in the whole, the system tends to a quick settling of neutral state with no musical events generation. This proves the necessity of algorithms design for active condition support of agents’ network, in the whole. Practical Relevance. Realization of the proposed system will give the possibility for creation of a technological platform for a whole new class of applications, including augmented acoustic reality and algorithmic composition