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Traffic data collection and analysis is essential for designing roundabouts and improving safety at roundabouts. One of the main interested traffic data for roundabouts is often gap size. However, manual collection of gaps size by human operators is extremely laborious. In this work, we developed a system/tool to allow data mining of the recorded videos for automated extraction of gap size. The developed...
In order to increase the effective length of spillway crest and to reduce the spillway crest' s sediment concentration, the traditional sand basin has been improved by adding spillway trough on spillway crest site of sand basin. Based on the model test, the influence of spillway trough on spillway crest length has been analyzed; the quantitative equation is derived between the length of spillway trough...
Liposomal hydrogel formulations of lidocaine hydrochloride(LDH)have been prepared and drug percutaneous permeation and release properties in vitro have been evaluated. An optimal hydrogel prescription with carbopol as base involved permeation enhancers as polyethylene glycol (PEG-400), Azone, poloxamer and propylene glycol was screened in vitro. Percutaneous permeation kinetic models of LDH in three...
The inclusion complex formation of irisquinone with hydroxypropyl-beta-cyclodextrin(HP-beta-CD) and the physico- chemical properties were studied. Complex of host molecules with irisquinoe was studied by x-ray diffraction (XRD) and differential scanning calorimetry(DSC). The quantitative analysis with uv-vis indicated that HP-beta-CD could increase the solubility of irisquinone, where the best results...
Forest resource planning systems provide the infrastructure and tools needed to establish effective forest management. The present resource planning system only provides past records for decision making. In this paper, the Web-based data mining technique is applied to the decision making of forest resource planning. The proposed system makes use of the three-tier Web service architecture, gives employees...
This paper proposes a data mining algorithm based on genetic algorithm and entropy for rule discovery called Genetic-Miner. The goal of Genetic-Miner is to discover classification rules in data sets. We have compared the performance of Genetic-Miner with other two well-known algorithms in six public domain data sets. The results showed that, Genetic-Miner is particularly advantageous when it is important...
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