DCT Implementation on GPU

There has been a great progress in the field of graphics processors. Since, there is no rise in the speed of the normal CPU processors; Designers are coming up with multi-core, parallel processors. Because of their popularity in parallel processing, GPUs are becoming more and more attractive for many applications. With the increasing demand in utilizing GPUs, there is a great need to develop operating systems that handle the GPU to full capacity. GPUs offer a very efficient environment for many image processing applications. This thesis explores the processing power of GPUs for digital image compression using Discrete cosine transform

Social Media, Digital Activism, and Online Collective Action:_x000D_ A Tale of Two Overlapping Women\u27s Rights Movements

Research on collective action (CA) dates back to at least the 1960s. However, the plethora of Internet-driven CAs warrants the need to revisit the theory of CA. By analyzing blog and Twitter postings for the two movements, “Women to Drive” and “Sexual Harassment”, we - (1) develop novel methodologies to model online CAs by utilizing existing CA theories and computational approaches for social network analysis, sentiment analysis, text mining, and content analysis, (2) establish a rigorous and fundamental analytical framework to understand the emergence, evolution, development and trajectory of CAs in complex online environments, and (3) study coalition formation, interorganizational communication, and transnational support of the two online CAs. The study also identifies cross-cultural aspects of the campaign network, where Arabic hashtags relate to the local factors and English hashtags connect with transnational and interorganizational support from various organizations such as human rights and women’s rights

DIGITAL COMPRESSION ON GPU

There has been a great progress in the field of graphics processors. Since, there is no rise in the speed of the normal CPU processors; Designers are coming up with multi-core, parallel processors. Because of their popularity in parallel processing, GPUs are becoming more and more attractive for many applications. With the increasing demand in utilizing GPUs, there is a great need to develop operating systems that handle the GPU to full capacity. GPUs offer a very efficient environment for many image processing applications. This thesis explores the processing power of GPUs for digital image compression using discrete cosine transform