Adopt solvent refining and chemical caustic washing method to enrich and extract phenolic compounds from Fushun shale oil, then analyzed and identified with gas chromatographymass spectrometry (GC-MS). Fushun shale oil is extracted with N, N-dimethyl formamide (DMF) solvent, and the extracted phase of oil the initially enriched phenolic compound is obtained. The phenolic compounds are converted into phenol sodium salt dissolved in the inorganic phase by chemical caustic washing method, then reverse extract via acidification after separation to obtain phenolic compounds. Through the analysis and identification, the relative mass fraction of phenolic compounds in Fushun shale oil will be increased from 4.06% to 73.74% after enrichment. 49 kinds of phenolic compounds are identified in the extracted products, mainly for phenol class, including C3 phenol compounds with the highest mass fraction at 27.69%, and followed by C2 and C4 phenols at 19.18% and 15.96%, respectively.

In this paper, ascorbic acid as combustion agent, composite oxides of nickel ferrite were prepared by combustion method. The optimal molar ratio of ferric nitrate to nickel nitrate was determined by XRD. The UV absorbance properties of composite were analyzed by UV spectra. The morphology of composites was characterized by scanning electron microscopy. The photocatalytic properties were studied using methylene blue as the degradation substrate and composite as catalyst. The experiment showed important effect of amount of catalyst, the pH value of the solution, the amount of hydrogen peroxide and irradiation time of the photocatalyst. The optimal photocatalytic condition is: dose of catalyst 20 mg, pH at 6, and hydrogen peroxide 6 mL. The results indicate that the nickel ferrite with molar ratio of nickel nitrate, ferric nitrateand ascorbic acid of 1:2:1 is photocatalytic effective under UV and visible light. Moreover, the nickel ferrite with molar ratio of nickel nitrate, ferric nitrateand ascorbic acid of 2:1:1 and 1:3:1 are photocatalytic effective under UV light.

The mass fraction of sulfur contained in the catalytic diesel was determined by microcoulometry measurement, the effects of the integral resistance and magnification to the measurement results were investigated, and in addition, the optimal conditions were confirmed. Under the optimized conditions，precision and recovery rate of the external standard samples on catalytic diesel were investigated, and showed that the sulfur content measured with pretty good accuracy and repeatability with a magnification of 200 times, integral resistance of 600 Ω. It was a simple, rapid and accurate method for measuring large quantities of samples.

The embedded database is a new database technology. It was created along with the development of Web technology, business intelligent technology and mobile computing technology. The reason why data mining system used embedded database was analyzed. Derby database was made into a separate Eclipse plug-in unit and the unit was applied to data mining system in order to meet the specific needs. The application of embedded database used in data mining system not only addresses the data management issues, but also ensures the portability of the system.

Multi-pattern matching algorithm is widely used in network intrusion detection system. At present, the research is mostly focused on how to improve the algorithm's matching speed but pays little attention to the memory consumption. It is a valuable problem to degrade the multi-pattern matching algorithm's memory consumption for embedded IDS based on hardware implementation. Aho-Corasick algorithm is based on finite state machine and has O(n) time complexity. Since the algorithm needs large memory to store the state table, it has great difficulty to be applied to memory restrained intrusion detection system. The Aho-Corasick algorithm's memory consumption and several feasible AC FSM storage strategies were deeply discussed. Finally an improved FSM storage strategy was present. The experiment shows that the strategy can effectively degrade the AC algorithm's memory consumption and has little affects on matching speed.