Aiming at the difficulty of decolorization of printing and dyeing wastewater, using PbO2 electrode as anode, and electro-catalytic oxidation for a certain concentration of active red 2 simulated dye wastewater was studied. The effects of current density, initial pH, electrolyte concentration and reactive red 2 initial concentrations on the treatment effect were investigated. The following optimal processing conditions for electrical catalytic oxidation of reactive red 2 was obtained: current density is 10 mA/cm2, initial pH is 7, electrolyte concentration is 15 g/L, reactive red 2 initial concentration is 100 mg/L.
A novel macroporous photocatalyst Au@Pd@TiO2has been reported and showed excellent catalytic activity and stability in the aerobic oxidation of alcohols in water at ambient temperature when using air as the oxidizing agent under visible light irradiation.
Dangerous signal mining method of dangerous goods transport vehicles and how to improve the accuracy of the mining are studied in the paper.There are many dangerous conditions such as high temperature, high pressure and other dangerous condition caused by the influence of the external factors such as friction in the transportation process of dangerous goods.If people can discover these dangerous condition signals as soon as possible, they can deal with them as soon as possible, which can effectively reduce the transport accidents and loss.The dangerous condition signals change as the interference of different nonlinear random mutation is present.The traditional signal mining methods have not a good solution to properly capture abnormal signal nonlinear changes, which causing flammable signal detection in the transport of dangerous goods inaccurate.The paper proposes a dangerous signal mining model based on the characteristics association mining algorithm for dangerous goods transport vehicles.First, the paper studies Cluster analysis theory and present the model for dangerous signal mining for dangerous goods transport vehicles.Second, the paper present wavelet transform model for the data extraction from transport vehicle status signal feature, and present a new mining model based the characteristics association data mining algorithm for dangerous signal mining, which can improve the accuracy of the mining.Finally, the experiment was done and shown that the new mining model for dangerous goods transport vehicles dangerous signal mining, can greatly improve the accuracy of the excavation.
Information-Centric Networking(ICN) is a paradigm shift from traditional TCP/IP's host-centric approaches, which relies on self-certifiable content, built-in pervasive in-network caching and flexible request routing to provide native support for efficient and scalable content distribution from the architectural layer. Caching in ICN diverts from traditional Web Caching due to its arbitrary network topology and the requirement for line-rate operation, which makes cache coordination a crucial task. However, most of the cache coordination schemes proposed to date use uniform caching coordination policies within the same cache network, which is either hard to achieve good balance between user QoE and resource utilization or hard to scale. This paper proposes a hybrid cache coordination scheme that bases on cache node role separation. The cache network is divided into a core area and several edge areas. The core area applies an explicit and off- path cache coordination policy such as the HASH-based cache coordination to improve cache diversity within the cache network, whereas the edge areas can apply any implicit and on-path cache coordination policies such as LCE and LCD. The separation allows this scheme to be easily extended to large networks, and simulation results show that the hybrid schemes can achieve good balance between user QoE and network resource utilization.
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