Ben Xiong

Publications (2) View all

• Article: [Isolation, screening nd characterization of hydrogen-oxidizing bacteria in soybean rhizosphere].

  Xin-Du Chen, Wei-Wei Wang, Li-Wei Guo, Ben-Tao Xiong, Bo Fu
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  ABSTRACT: Soil hydrogen-oxidizing bacteria can utilize soil gaseous hydrogen as an energy source to assimilate carbon dioxide. In this paper, a gas-cycle incubation system (H2 treatment system) which can provide stable H2 flow (41.6-125 micromol x L(-1)) via H2O electrolysis was developed, and a mineral salt agar medium (MSA) was used to separate the hydrogen-oxidizing bacteria in soybean rhizosphere. A total of 40 bacterial strains were isolated from the incubation system, and their hydrogen uptake was measured. 20 of the strains could utilize hydrogen and grow autotrophically, which were preliminarily identified as hydrogen-oxidizing bacteria. Their colony form and physiological-biochemical characteristics were studied.
  Ying yong sheng tai xue bao = The journal of applied ecology / Zhongguo sheng tai xue xue hui, Zhongguo ke xue yuan Shenyang ying yong sheng tai yan jiu suo zhu ban 10/2007; 18(9):2069-74.
• Conference Proceeding: A highly accurate method for parameter estimation

  Huang Ben Xiong, Xu Zheng Guang, Xu Shu Hua
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  ABSTRACT: The problems of signal detection and parameter estimation are of fundamental importance in detection and recognition of weak target. The typical problem is the measurement of the harmonic signal parameter in the noise. In traditional theory, the processing method is based on uniformly sampling and all the data have the same effect. This paper presents a novel theory to deal with the problem, which treats the data in a different way. The novel method is based on the sub-sampling technique. The position of the new sampling data is not regular in source sequence, but they have the same feature that they are affected by noise less seriously than those that are deserted. Since the new data is not uniformly sampled, the traditional estimation algorithm will be modified and a novel algorithm is discussed to deal with the sub-sampling data. The method presented in the paper offer the higher accuracy of the estimation, because the sub-sampling data have higher SNR. Computer simulations are used to obtain the parameter estimation performance results. Results obtained by this new method are compared with traditional FFT method, and the parameters obtained by new method are more accurate
  Military Communications Conference, 2005. MILCOM 2005. IEEE; 11/2005