Re-imagining Yerevan in the post-Soviet era: Urban symbolism and narratives of the nation in the landscape of Armenia's capital

The urban landscape of Yerevan has experienced tremendous changes since the collapse of the Soviet Union and Armenia’s independence in 1991. Domestic and foreign investments have poured into Yerevan’s building sector, converting many downtown neighborhoods into sleek modern districts that now cater to foreign investors, tourists, and the newly rich Armenian nationals. Large portions of the city’s green parks and other public spaces have been commercialized for private and exclusive use, creating zones that are accessible only to the affluent. In this dissertation I explore the rapidly transforming landscape of Yerevan and its connections to the development of contemporary Armenian national identity. This research was guided by principles of ethnographic inquiry, and I employed diverse methods, including document and archival research, structured and semi-structured interviews and content analysis of news media. I also used geographic information systems (GIS) and satellite images to represent and visualize the stark transformations of spaces in Yerevan. Informed by and contributing to three literatures—on the relationship between landscape and identity formation, on the construction of national identity, and on Soviet and post-Soviet cities—this dissertation investigates how messages about contemporary Armenian national identity are being expressed via the transforming landscape of Armenia’s national capital. In it I describe the ways in which abrupt transformations have resulted in the physical and symbolic eviction of residents, introducing fierce public debates about belonging and exclusion within the changing urban context. I demonstrate that the new additions to Yerevan’s landscape and the symbolic messages that they carry are hotly contested by many long-time residents, who struggle for inclusion of their opinions and interests in the process of re-imagining their national capital. This dissertation illustrates many of the trends that are apparent in post-Soviet and post-Socialist space, while at the same time exposing some unique characteristics of the Armenian case.

Context -aware data caching for mobile computing environments

The deployment of wireless communications coupled with the popularity of portable devices has led to significant research in the area of mobile data caching. Prior research has focused on the development of solutions that allow applications to run in wireless environments using proxy based techniques. Most of these approaches are semantic based and do not provide adequate support for representing the context of a user (i.e., the interpreted human intention.). Although the context may be treated implicitly it is still crucial to data management. In order to address this challenge this dissertation focuses on two characteristics: how to predict (i) the future location of the user and (ii) locations of the fetched data where the queried data item has valid answers. Using this approach, more complete information about the dynamics of an application environment is maintained. ^ The contribution of this dissertation is a novel data caching mechanism for pervasive computing environments that can adapt dynamically to a mobile user's context. In this dissertation, we design and develop a conceptual model and context aware protocols for wireless data caching management. Our replacement policy uses the validity of the data fetched from the server and the neighboring locations to decide which of the cache entries is less likely to be needed in the future, and therefore a good candidate for eviction when cache space is needed. The context aware driven prefetching algorithm exploits the query context to effectively guide the prefetching process. The query context is defined using a mobile user's movement pattern and requested information context. Numerical results and simulations show that the proposed prefetching and replacement policies significantly outperform conventional ones. ^ Anticipated applications of these solutions include biomedical engineering, tele-health, medical information systems and business. ^