Water environment pollution is an acute problem, especially in developing countries, so water quality monitoring is crucial for water protection. This paper presents an intelligent three-dimensional wide-area water quality monitoring and online analysis system. The proposed system is composed of an automatic cruise intelligent unmanned surface vehicle (USV), a water quality monitoring system (WQMS), and a water quality analysis algorithm. An automatic positioning cruising system is constructed for the USV. The WQMS consists of a series of low-power water quality detecting sensors and a lifting device that can collect the water quality monitoring data at different water depths. These data are analyzed by the proposed water quality analysis algorithm based on the ensemble learning method to estimate the water quality level. Then, a real experiment is conducted in a lake to verify the feasibility of the proposed design. The experimental results obtained in real application demonstrate good performance and feasibility of the proposed monitoring system.
-To develop antiobese food materials from medicinal plants, isolation of antiobese active compounds in Yukeuigambitang of which activity was already proved in the previous study by animal experiments was performed. Antiobese effect of stepwise solvent fractions from 70% ethanol extract of Yukeuigambitang was determined by the differentiation inhibition activity on 3T3-L1 preadipocytes. CH2Cl2 fraction had significant antiobese activity, and n-Hexane and EtOAc fractions were the next. Three phenolic compounds from CH2Cl2 fraction were identified by GC/MS analysis and one compound was finally isolated by HPLC. It was revealed as a new compound presumed to be one of the derivatives produced from the medicinal plants mixture in Yukeuigambitang.
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