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Aiming at the limitation of retrieving and extracting the most satisfying components in the component library, data mining technology was applied to retrieve component in the paper. Firstly, how to use the application of classification method decision-tree-based to the component reuse was discussed. Secondly, we the idea to apply data mining technology to the management of software component was proposed, which provided auxiliary decision support to the relevant personnel of the component library. Thirdly, an applied model of software component retrieval management by data mining technology was built. Lastly, the model had been verified through experiment, thus the feasibility and validity of this strategy had been verified.

The white organic light-emitting diodes (WOLED) using, phosphorescent dopant, iridium (III) bis[(4,6-di-fluorophenyl)-pyridinato-N, C2] picolinate (Firpic) and fluorescent dopant, 4-(dicyanomethylene)-2-t-butyl-6(1,1,7,7- tetramethyliul-olidyl-9-enyl)-4H-pyran (DCJTB) were fabricated by employing two different types of inducer-layer such as N, N′-dicarbazoly-3,5-benzene (mCP) and 4,7-diphenyl-1,10-phenanthroline (Bphen). Luminous efficiency, max luminance, and Commission Internationale de l'Eclairage (CIE x,y ) coordinates of the WOLED using Bphen as inducer layer were 8.72 cd/A at 5.61mA/cm2, CIE x,y (x=0.27, Y=0.37) at 11.11mA/cm2, and 12330cd/m2 at 205.82mA/cm2, respectively. These results demonstrated that Bphen attributed hole-electron recombination zone controlling electron injection through 3.2eV lowest unoccupied molecular orbital (LUMO) energy level and hole blocking by 6.4eV highest occupied molecular orbital (HOMO) energy level.

Under the background of knowledge-based economy, technological innovation capability has become the source of obtaining the enterprise's profit and development. Based on the existing theoretical literatures and statistical literatures, the connotation, the classification and the measure of technology innovation ability are clarified, and the relationship between technology innovation ability and enterprise performance are also completed. At last, the shortcomings and the future direction of this dissertation are described.

In this paper, we propose a method for modeling and analysis of fault detection in real-time systems. This approach is based on the model of time petri net (TPN), which derives from the timing analysis of the TPN models with guarded transitions. With the reachability analysis of each mark of TPN model, some finite length of test sequences are generated through computing the shortest path from the initial mark to each leaf node. Then we carry out input in the proper time intervals and check out whether the system satisfies the requirements for real time and the functions of software that according to the output results. This approach is well illustrated by means of modeling and analysis of a safety-critical system: Interlock Logic System.