background: the need for better healthcare has grown significantly in recent years. in addition, the rising healthcare costs in the u.s. and in many european countries have forced many patients to seek medical treatment abroad, which has created the demand for medical tourism. with little yet known as to the perception of a medical tourist's destination selection, this study aims to explore med...

Identifying information sources influential to travel decisions helps tourism planners strategically utilize resources to improve marketing efforts and create a strong destination image. An on-line survey (N=973) on destination brand image research was developed and implemented. The study examined image perceptions of Austria and what level of influence various information sources have on desti...

The advancements of GPS and GIS technologies provide new opportunities for investigating vehicle trip generation and destination choice at the microscopic level. This research models how land use and road network structure influence non-work, non-home vehicle trip generation and non-work destination choice in the context of trip chains, using the in-vehicle GPS travel data in the Minneapolis-St...

Safety and security are key aspects for the success of tourism in every destination. Rather than objective risks, it is rather the tourist's individual and subjective perception of these risks that mostly infl uence destination choice and in the long run tourism fl ows from one country to another. Th e concept of risk perception has been highly studied in tourism, however the literature remains...

--Performance degradation is an major problem in a relay based Decode-and-Forward (DF) receiving cooperative system. In the DF protocol , existing decoder performances have high decoding complexity, because destination require exact knowledge of the sourcerelay link along with the channel coefficient of source-destination and relay –destination links. In the proposed method, degradation can be ...

In this paper we are going to evaluate the efficacy of FEC coding. To evaluate it we are going to transfer data from Source to Destination. Before receiving the data in the Destination we create packet loss in Queue. Thus after creating packet loss, we receive the remaining packets in the Destination. Then we recover the lost Packets in the Destination and evaluate FEC’s performance.