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Aiming at the problem of multi point (32 and above) EFPI optical fiber gas sensing system in processing data, for instance, weak ability of parallel data processing, low computational efficiency, slow system response etc., this paper utilizing the advantage like maximum concurrent and distributed of membrane computing system studied a method of parallel data processing. This method adopted a algorithm called Bio-inspired Algorithm based on Membrane Computing-BIAMC compared to the commonly used Genetic Algorithm (GA) has less computational cost and higher computational efficiency. Firstly,4 Standard constrained functions was used as test and contrast function and then the improved algorithm is applied to the parallel data processing, to validate the quantitative analysis and effectiveness, in the end, through the simulation to verify the superiority of the algorithm in robustness and accuracy. The experimental results showed that with taking the parallel feature of data input into consideration the BIAMC which applying to EFPI optical fiber gas sensing system have improved the speed of data processing and the utilization rate of hardware system and the response time of whole system compared to the traditional serial processing method, which provided a new method of parallel data processing in multi-channel sensor system.

The water-ways were complicated and intertwined in the Hongze Lake section of South-to-North Water Transfer Project. A complex natural environment and multitudinous chemical enterprises here result in environmental risk sources in this region.This study, with the Hongze Lake as center, aims to investigate information of pollution sources about 22 plants in the surrounding cities.We construct recognition evaluation index system for watershed risk sources, calculate risk coefficient about the risk sources by R-AHP Comprehensive Evaluation and finally determine the 4 risk levels. The results can help to make identification mark taking the grading alert colors and it is significant for decreasing the probability of major environmental pollution accidents.

Message mapping is useful for communications which should be easy to understand and reflect the concerns of stakeholders when abrupt trans-boundary environmental pollution occurs in river basin. This paper describes the process undertaken to develop the message maps, and lessons learned thus far. The working group developed a message map for one part of east route of the South-to-North Water Diversion Project (from Yangtze River to Hongze Lake).The message map can help give clear and concise information for stakeholders communication in a crisis where emotions are high, and provides information support for information map visualization in the near future.

This paper summarizes the basic principle of flow velocity measurement, analysis of the structure of the polarity correlation algorithm, the circuit implementation, and the peak point determination, then introduced the LMS(Least mean square) algorithm in flow velocity measurement , thereafter,the simulation experiment of the two algorithms are performed. Experimental results show that with a noisy environment, the measurement accuracy of the polarity correlation algorithm reduced, since the LMS algorithm can automatically adjust its parameters to the external factors, so it can still have a accurate date in flow velocity measurement.

The composite materials are composed by Z-type hexaferrite and Bi2O3 by solid-state reaction method. Crystalline phase, microstructure and magnetic properties were measured by XRD, SEM, and VNA. The results showed that the sintering temperature and the content of Bi2O3 can effectively affected both uniformity and densification. What's more, Z-type hexaferrite mixed with proper content of Bi2O3 and sintered at a low temperature presented a high Q-factor in a high frequency.

Soybean-peptide, sugar, citric acid and concentrated orange juice as the raw material, orthogonal design and fuzzy logical sensory evaluation were applied together to obtain the best formulation of the soybean-peptide beverages. A L9(34) orthogonal array design (OAD) was adopted to prepare nine soybean-peptide beverages. By using fuzzy logical sensory evaluation, the acceptability of these samples was studied. The results indicated that the ranking of sensory attributes for the beverage as follows: Taste > Color > Odor > Appearance; the order of the influence of the raw materials to the acceptability for the beverage as follows: Concentrated orange juice > Soybean-peptide > Citric acid > Sugar; and the best formulation of the soybean-peptide beverages is 5% Peptide-powder, 8% sugar, 0.05% citric acid and 5% concentrated orange juice.

Flake-shape Sendust particles with high microwave magnetic permeability and permittivity were prepared with the method of wet ball milling, and then mixed with the polymer to get a sheet-type composite as an effective EMW absorber. It was found that the composite has a very high shape factor owing to the flaky Sendust particles, which can break through the traditional Snoeks limit, and achieve a high effective magnetic permeability. HFSS simulation results show the sheet-type composite can be used on the patch antenna for improving the front-to-back ratio of the hand-held patch antenna and reducing the EMW pollution around antenna operators.

Synthetic nanomaterials have the disadvantages of large-scale investment, high energy consumption, complex production process and heavy environmental load. Mineral nanomaterials such as sepiolite group mineral nanomaterials are characterized by small size effect, quantum size effect and surface effect. Water treatment application of sepiolite group mineral nanomaterials has become an active research area and showed good development and application prospects. Based on the above reasons, this paper systematically summarizes the water treatment application of sepiolite group mineral nanomaterials, and development trend related to water treatment application of sepiolite group mineral nanomaterials were also proposed.

Elastic tube bundles are universally used in heat transfer enhancement via the flow-induced vibration in heat exchangers, and the study of the tube vibration characteristic is essential. The natural vibration of multiple conical spiral tube bundles was discussed in this paper based on numerical simulation. The substructures of ten conical spiral tubes, the inlet and the outlet branch were set up individually. Then the mass matrix and the stiffness matrix of these substructures were calculated. The general matrices were obtained and the vibration equation of the overall structure was founded. The results show that the natural frequencies of the multiple conical spiral tube bundles are smaller than the traditional planar elastic tube bundles and each natural vibration mode has a frequency band, which contains several natural frequencies.