The National Innovation System (NIS) and the automobile industry in South Korea

Since Freeman (1988) suggested the concept of National Innovation System (NIS), NIS has provided a foundation for understanding the organizational interactions that engendered innovations in industry. The definition of NIS varies with the context in which innovation activities are performed and evaluated. The multiple definitions of NIS can be classified by their scopes (Chung 2002). In a broad sense, NIS encompasses all the interrelated institutional actors that create, diffuse, and exploit innovations. On the contrary, according to the narrow definition, NIS is a complex of innovation actors that are only directly associated with the generation, diffusion, and appropriation of technological innovation. Research and Development (R&D) departments, universities, and public research institutes can be taken as examples. In this report, primarily the narrow definition of NIS will be adopted, and the role of NIS in the South Korean automotive industry will be accordingly discussed. --

How to Compare the Scientific Contributions between Research Groups

We present a method to analyse the scientific contributions between research groups. Given multiple research groups, we construct their journal/proceeding graphs and then compute the similarity/gap between them using network analysis. This analysis can be used for measuring similarity/gap of the topics/qualities between research groups' scientific contributions. We demonstrate the practicality of our method by comparing the scientific contributions by Korean researchers with those by the global researchers for information security in 2006 - 2008. The empirical analysis shows that the current security research in South Korea has been isolated from the global research trend

Hybrid Spam Filtering for Mobile Communication

Spam messages are an increasing threat to mobile communication. Several mitigation techniques have been proposed, including white and black listing, challenge-response and content-based filtering. However, none are perfect and it makes sense to use a combination rather than just one. We propose an anti-spam framework based on the hybrid of content-based filtering and challenge-response. There is the trade-offs between accuracy of anti-spam classifiers and the communication overhead. Experimental results show how, depending on the proportion of spam messages, different filtering %%@ parameters should be set.Comment: 6 pages, 5 figures, 1 tabl

Memory

School of Art and Design: Integrative Project ThesisArt and Design, School ofUniversity of MichiganUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/60493/1/IPThesis_Lee.pd