Digital cinema (d-cinema) is the highest quality electronic motion imagery for entertainment. The cinema is presented in a theatrical environment, with high brightness projectors, high rate data transfer, and high resolution color imagery. The entertainment industry uses formats that are specific to film-based electronic imagery. This report describes software tools for viewing digital cinema s...

The history of British cinema is often approached from the perspective charting and analysing film production, taking in contribution made by directors, actors, writer...

BACKGROUND The content of the mass media is a suitable tool for making changes to the society. One of the most read news in the mass media is nutritional information. The goal of this study is to assess the scientific authenticity of such information published in Iranian popular magazines. MATERIALS AND METHODS This study is a qualitative study (content analysis) and uses bibliographic approa...

This article investigates the contexts, or "listening niches", in which people hear popular music. The study spanned a century of popular music, divided into 10 decades, with participants born between 1940 and 1999. It asks about whether they know and like the music in each decade, and their emotional reactions. It also asks whether the music is associated with personal memories and, if so, wit...

As far as the latest technological improvements are concerned, digital systems more become popular than the past. Despite this growing demand to the digital systems, content copy and attack against the digital cinema contents becomes a serious problem. To solve the above security problem, we propose “traceable watermarking using Hash functions for digital cinema system. Digital Cinema is a grea...

One of the most popular data mining areas, which estimate future trends of data, is classification. This research is dedicated to predict Iranian passenger train delay with high accuracy over Iranian railway network. A hybrid method based on neuro-fuzzy inference system and Two-step clustering is used for this purpose. The results indicate that the hybrid method is superior over the other commo...

One of the most popular data mining areas, which estimate future trends of data, is classification. This research is dedicated to predict Iranian passenger train delay with high accuracy over Iranian railway network. A hybrid method based on neuro-fuzzy inference system and Two-step clustering is used for this purpose. The results indicate that the hybrid method is superior over the other commo...

One of the most popular data mining areas, which estimate future trends of data, is classification. This research is dedicated to predict Iranian passenger train delay with high accuracy over Iranian railway network. A hybrid method based on neuro-fuzzy inference system and Two-step clustering is used for this purpose. The results indicate that the hybrid method is superior over the other commo...