Reconstruction Models for Attractors in the Technical and Economic Processes
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2013, Vol 6, Issue 3
Abstract
The article discusses building models based on the reconstructed attractors of the time series. Discusses the use of the properties of dynamical chaos, namely to identify the strange attractors structure models. Here is used the group properties of differential equations, which consist in the symmetry of particular solutions. Examples of modeling engineering systems are given.
Authors and Affiliations
E. V. Nikulchev
Journey from Data Mining to Web Mining to Big Data
This paper describes the journey of big data starting from data mining to web mining to big data. It discusses each of this method in brief and also provides their applications. It states the importance of mining big dat...
Requirement and Result of Verifying the Program Code
The verification of Java/C++ codes is critical, especially for special projects where human life will be at stake. A system is required that uses integrated reasoning to split each verification condition into a conjuncti...
Microblogging Service to Report about Earthquake
Data Mining is the extraction of hidden predictive information from large Database set. The huge amount of data is a key resource to be processed and analyzed for knowledge extraction. Volcanic action Reporting system is...
Efficient Data Gathering and Improving Network Lifetime in Wireless Sensor Networks
In large-scale wireless sensor networks the data-gathering mechanism to introducing mobility into the network. . We consider the location service in a WSN, where each sensor needs to maintain its location information by...
Identity Management issues in Cloud Computing
Cloud computing is providing a low cost on demand services to the users, omnipresent network, large storage capacity due to these features of cloud computing web applications are moving towards the cloud and due to this...