In order to enhancing the accuracy of fault diagnosis system, an improved method based on the probabilistic neural network (PNN) is proposed, in which the synthetic attribute weights of faults are introduced that are obtained by integrating algebra view and information theory view of rough set. The synthetic attribute weights are utilized to training the classical PNN and dealing with the classification of faults so as to improving the PNN model. The new model is more accurate and can represent expertise. This novel approach is applied in digital data network to diagnose failures, and the results of the experiment verify that the method is practical and effective in raising accuracy of diagnosis as well as avoiding misdirection in fault remedy.

Based on the biological purification technology combined with the engineering measures, the enhanced nitrogen purification biological experiment is implemented in Wenyu River in Beijing. The water in the river mainly is the outflow from the sewage treatment plant, in which the ammonium (NH4-N) has been effectively removed for the deeply nitrification, while treatment of the nitrate nitrogen (NO3-N) and total nitrogen (TN) is incomplete due to the denitrification. The water has low C/N value and has poor biodegradability. In this study, aiming at the water feature of low C/N and poor biodegradability, the effective way to strengthen denitrification by some enhanced techniques, such as increasing the microorganisms number and biodegradability (ie, improved nitrogen ratio), changing denitrification rates and so on, has been studied. The experimental results show that under the condition of water flow (Q) as 15 ~ 27L/hr, hydraulic detention time as (HRT) 10 ~ 18h, concentration of nitrate nitrogen (NO3-N) as 12.20 ~ 31.44mg / L, and total nitrogen (TN) as 14.50 ~ 34.71 mg / L, the removal rates of NO3-N and TN are over 30%.

Under the background of global climate change, the relationship of the construction of large reservoirs and the regional climate change became one of the hot research topics. Some researchers put forward the theory that the large reservoirs possibly emit considerable green house air, which might affect the regional climate. Three Gorges Reservoir (TGR) is one of large reservoirs in China, and its impacts on local climate are studied in this paper. The large scale long time series of hydrological and meteorological data in 1961~2008 is used to analyze the trend of the air temperature, precipitation, evaporation rate, rainstorm days, fog days, et. all in Yangtze River Basin and TGR area before and after the impoundment of TGR. The paper reveals that the consistency and specificity of the climate evolution in regional scale and country scale. In addition, the internal driving forces for the regional ecological environmental evolution are discussed.

To improve the usability and operability of the hybrid-identification reconnaissance radar for individual use, a voice identification System was designed. By using SPCE061A audio signal microprocessor as the core, a digital signal processing technology was used to obtain Doppler radar signals of audio segments by audio cable. Afterwards, the A/D acquisition was conducted to acquire digital signals, and then the data obtained were preprocessed and adaptively filtered to eliminate background noises. Moreover, segmented FFT transforming was used to identify the types of the signals. The overall design of radar voice recognition for an individual soldier was thereby fulfilled. The actual measurements showed that the design of the circuit improved radar resolution and the accuracy of the radar identification.

Enormous river basin information has been collected by for high resolution of the physically-based distributed hydrological model, while the scales of computational domain are often restricted by the intensive calculation. The parallel algorithms of physically-based regional hydrologic soil model (P-RHSM) in OpenGeoSys are brought forward in this paper. The object-oriented C++ programming in the model approaches the two objectives: one is data structure organizations including the spatial discretization of the computation domain with nodes density arrangement and solutions communication of temporal variables, the other is computational efficiency by parallel computing. The Message passing interface (MPI) communication is implemented in P-RHSM which is carried out on Linux supported symmetric multiprocessing computers. P-RHSM is applied to Heihe basin in the northwest China. The high-resolution results of temporal soil moisture content distribution, front movement and parallel performance is presented.