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Nowadays the processing power of mobile phones, Smart phones and PDA is increasing, as well as the transmission bandwidth. Nevertheless there is still the need to reduce the content and the need of processing the data. Proposals and solutions for dynamic reduction of the transmitted content will be discussed. For that, device specific properties will be taken into account, aiming at reducing the need of processing power at the client side to display the 3D Virtual Reality data. Therefore, well known technologies like data compression are combined with new approaches to achieve the goal of adaptive content transmission. For device dependant reduction of processing power the data has to be pre-processed at the server side or the server itself has to take over functionality of weak mobile devices.
We propose a new streaming media service development environment comprising of a streaming media service model, a XML based service specification language and several implementation and configuration management tools. In our project, the described approach is used for integration of streaming based eLearning services in manufacturing processes of a subcontractor to the automotive industry. The key components of our approach are 1) an xml based streaming service specification language, 2) a set of web services for searching, registration, and creation of streaming services, 3) caching and replication policies based on timing information derived from the service specifications.
The establishment of a software tool chain among requirements management tools, black box test approach tool CTE XL and RTRT is proposed in this paper. The use of Classification Tree Method ensures the reduction in the number of test cases and promises an increased efficiency when testing. The traceability of test cases and requirements is guaranteed by the established software tool chain with well defined interfaces. As the experimental results point out, a better test coverage can be achieved. Future work can be based on automatic generation of init and expected values for testing, requiring no interference from a software quality engineer. In conclusion, the tasks that need to be performed by the software quality engineers is to define the black box test cases using CTM/CTE XL, import the requirements from the requirements management tools, import the XML file to test tool RTRT. By giving the initial and expected values the testing can be performed in a comfortable way.
In thin-layer chromatography the development step distributes the sample throughout the layer, a process which strongly affects the reflection signals. The essential requirement for quantitative thinlayer chromatography is not a constant sample concentration but constant sample distribution in each sample spot. This makes evaporation of the mobile phase extremely important, because all tracks of a TLC plate must be dried uniformly. This paper shows that quantitative TLC is possible even if the concentration of the sample is not constant throughout the layer or if the distribution of the sample is not known. With uniform sample distribution, classical Kubelka-Munk theory is valid for isotropic scattering only. In the absence of this constraint classical Kubelka-Munk theory must be extended to situations where scattering is asymmetric. This can be achieved by modification of the original Kubelka-Munk equation. Extended theory is presented which is not only capable of describing asymmetrical scattering in TLC layers but also includes a formula for absorption and fluorescence in diode-array TLC. With this new theory all different formulas for diode-array thin-layer chromatographic evaluation are combined in one expression.