Data Acquisition on a Virtual Machine: Three Scenarios

Identification Psychological Disorders Based on Data in Virtual Environments Using Machine Learning

Introduction: Psychological disorders is one of the most problematic and important issue in today's society. Early prognosis of these disorders matters because receiving professional help at the appropriate time could improve the quality of life of these patients. Recently, researches use social media as a form of new tools in identifying psychological disorder. It seems that through the use of...

A Virtual Machine Data Communication Mechanism on Openstack

Development of Virtual Data Acquisition Systems based on Multimedia Internetworking

This paper proposes a novel approach centered on multimedia internetworking for the development of distributed virtual instruments. Multimedia internetworking refers to network infrastructures, protocols, models, applications and techniques being currently deployed over the Internet to support multimedia applications, e.g., videoconferencing, video-on-demand, shared workspaces. It is applied to...

Data Acquisition for VIRTUAL OLD PRAGUE

The paper describes main principles and guidelines for creation of realistically looking virtual town. It is focused mainly on the work on the project “Virtual Old Prague” and usage of original authoring tools and additional third party applications. It depicts special procedures and shows pit-falls and advices within the work. Methods and procedures described here can be successfully applied o...

Selective Data Acquisition for Machine Learning

In many applications, one must invest effort or money to acquire the data and other information required for machine learning and data mining. Careful selection of the information to acquire can substantially improve generalization performance per unit cost. The costly information scenario that has received the most research attention (see Chapter X) has come to be called ”active learning,” and...