Anti-ADSL monoclonal antibody, clone FQS21857(C)

In order to standardize the electronic payments within and between the member states of the European Union, SEPA (Single Euro Payments Area) an XML based standard format was introduced. As the financial institutes have to store and process huge amounts of SEPA data each day, the verbose structure of XML leads to a bottleneck. In this paper, we propose a compressed format for SEPA data that removes that data from a SEPA document that is already defined by the given SEPA schema. The compressed format allows all operations that have to be performed on SEPA data to be executed on the compressed data directly, i.e., without prior decompression. Even more, the queries being used in our evaluation can be processed on compressed SEPA data with a speed that is comparable to ADSL2+, the fastest ADSL standard. In addition, our tests show that the compressed format reduces the data size to 11% of the original SEPA messages on average, i.e., it compresses SEPA data 3 times stronger than other compressors like gzip, bzip2 or XMill - although these compressors do not allow the direct query processing of the compressed data.

Many images you see on the Internet today have undergone compression for various reasons. Image compression can benefit users by having pictures load faster and webpages use up less space on a Web host. Image compression does not reduce the physical size of an image but instead compresses the data that makes up the image into a smaller size. In case of image transmission the noise will decrease the quality of recivide image which obliges us to use channel coding techniques to protect our data against the channel noise. The Reed-Solomon code is one of the most popular channel coding techniques used to correct errors in many systems ((Wireless or mobile communications, Satellite communications, Digital television / DVB, High-speed modems such as ADSL, xDSL, etc.). Since there is lot of possibilities to select the input parameters of RS code this will make us concerned about the optimum input that can protect our data with minimum number of redundant bits. In this paper we are going to use the genetic algorithm to optimize in the selction of input parameters of RS code acording to the channel conditions wich reduce the number of bits needed to protect our data with hight quality of received image.