Vegetation classification of Braun-Blanquet approach of vegetation ecology is widely accepted as a method to establish formal classification system. However, the measuring parameter commomly used by Taiwan ecologists is important value index (IVI) of Wisconsin school. The purpose of this paper is to study whether the different measuring parameters (IVI vs. cover-abundance scales) result in different vegetation classifications or not. Jhuokou River Basin was used as the studied area. Vegetation sampling data based on different parameters were analyzed by nonmetric multdimesional scaling¡]NMDS¡^and two-way indicator species analysis¡]TWINSAPN¡^and the resulted associations and alliances compared with their member plots, character species and dominant species. The results indicated that these attributes of alliances from both methods were higher regularity than associations, but further research is still needed to clarify these regularity patterns.

The target of this master's thesis were the known methods for testing the quality of transfer parameters of data networks. I have studied the RFC 2544 document to analyze these tests. From that information and by studying other existing web-based applications I was able to design a concept of my own application that will allow to measure basic quality parameters of transfers made through the Internet (the parameters: downstream, upstream, latency, variance of these and a traced route). My application doesn't require any modifications on the user's system. It's built on the server-based programming language PHP and uses the relational database engine MySQL to store measurement and user data. On the client side, it's assisted by the JavaScript scripting language. Both registered users and visitors are allowed to perform the listed measurements. Registered users are able to browse the history of their own benchmark results and also to send messages to others. There is an administrative account to oversee the operations. Another part of my thesis work is an application for Windows that performs the same measurements but does not use JavaScript.