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The pyrolysis oil from lignocellulosic biomass as a renewable resource has been exploited and utilized. Microbial degradation of the pyrolysis oil by several fungi strains was investigated. The results showed that Trichoderma viride, Aspergillus niger, Trichoderma harzianum, Penicillium oxalium and Phanerochaete chrysosporium could grow well using the pyrolysis oil as carbon source, while the growth of plant pathogen Cladosporium cucumerinum and Botrytis cinerea was inhibit by the pyrolysis oil. HPLC analysis showed that some water-soluble compounds in pyrolysis oil are biodegradable.

Meta search engine which can provide rich information is obviously an ideal source of answers to many types of questions. This paper describes a question answering system based on web, and puts forward to a new method to search information based on Meta search engine and new word discovery. In the information retrieval module, N-gram model and web pages which get from search engine are used to find new words. Experiments show that the addition of new words discovery not only greatly improves the precision of documents retrieval in the module of information retrieval, but also improves the accuracy of answer extraction.

In this paper, ONS (Object Naming System) architecture is studied, and the necessity of high performance RFID code resolving service is discussed. Then, ONS distributed network architecture is proposed, along with ONS-based distributed database, synchronous query, storage and calculation using ID as a primary key. High performance RFID coding resolving service system is designed and implemented. The simulation is done for the testing. The experimental results show that our model gained significant performance improvement and achieved millisecond-level time–consuming in resolution

For the existing disadvantage of Word Sense Disambiguation(WSD) research methods, we have analyzed the computability and computational complexity of knowledge Dictionaries with different structure, and chosen “The Grammatical knowledge-base of Contemporary Chinese” and “the Semantic Knowledge-base of Contemporary Chinese” which written by Institute of Computational Linguistics of Peking University, and combined the People’s Daily corpus, which has been tagged word sense on, as knowledge sources for WSD. We obtained statistical knowledge and rules knowledge, which are needed by the Chinese Word Sense Disambiguation, from the selected knowledge sources, and adopted a approach of combining rule and statistics to construct the model of Word Sense Disambiguation. It has achieved a satisfactory effect of WSD.