An empirical study of the recreationalexpressive and referential roles of the cell phone among young students and their potential applications to advertising

The cell phone has become a means of finding persuasive content, making friends and accessing information. For this reason it is of great interest in analyzing is use by young people during their formative years. Regarding this point, the objectives of the research are: to obtain percentage data on the distraction call phones cause among students; to define their habits re fun activities and their study responsibility in their personal and academic lives; and to identify leisure-expressive and referential trends. It was decided to analyze the Spanish discourse found on Twitter. To do so, a quantitative and qualitative methodology was used, with a linguistic pattern extraction tool which allows us to obtain categories of meaning. The sample was 10,000 tweets in Spanish, with key words such as “cell” and “study” and all possible derivatives. The data were gathered between 30 May and the 6 June 2014, which coincides with the start of the exam period in Spain. Finally, the potential applications of the research to the specific field of publicity and advertising is discussed as a possible solution to the current needs of the brands, which have to find participative formats taking into account the students’ leisure trends.

A Mapping-Scheduling Algorithm for Hardware Acceleration on Reconfigurable Platforms

Reconfigurable platforms are a promising technology that offers an interesting trade-off between flexibility and performance, which many recent embedded system applications demand, especially in fields such as multimedia processing. These applications typically involve multiple ad-hoc tasks for hardware acceleration, which are usually represented using formalisms such as Data Flow Diagrams (DFDs), Data Flow Graphs (DFGs), Control and Data Flow Graphs (CDFGs) or Petri Nets. However, none of these models is able to capture at the same time the pipeline behavior between tasks (that therefore can coexist in order to minimize the application execution time), their communication patterns, and their data dependencies. This paper proves that the knowledge of all this information can be effectively exploited to reduce the resource requirements and the timing performance of modern reconfigurable systems, where a set of hardware accelerators is used to support the computation. For this purpose, this paper proposes a novel task representation model, named Temporal Constrained Data Flow Diagram (TCDFD), which includes all this information. This paper also presents a mapping-scheduling algorithm that is able to take advantage of the new TCDFD model. It aims at minimizing the dynamic reconfiguration overhead while meeting the communication requirements among the tasks. Experimental results show that the presented approach achieves up to 75% of resources saving and up to 89% of reconfiguration overhead reduction with respect to other state-of-the-art techniques for reconfigurable platforms.