Quantitative Indexes of Streetscape Visual Evaluation and Validity Analysis

To establish valid indexes for streetscape visual evaluation, this paper proposed 6 quantitative indexes to refl ect objective visual properties of streetscapes based on the image processing concept, and took real digital images of 10 pedestrian streets to verify the validity. Mathematical analysis of subjective and objective indexes showed that street width/height ratio, street width, sky openness index, visual entropy and color richness index could refl ect objective visual properties of streetscape(correlation coeffi cient r > 0.633, signifi cance P < 0.05); visual complexity accounted for the highest percentage in the evaluation conclusion(22.6%), so it was the most signifi cant infl uence factor.

Quantitative Analysis of Mineralization-Alteration Index about the Huize Lead-zinc district in Northeast Yunnan, China

1 Introduction The super-large Huize lead-zinc ore district is one of the most representative lead-zinc deposits in Northeastern Yunnan poly-metallic deposit concentration district.So far,studies(Liu and Lin,1999;Han et al.,2007)on the type of deposits like the Huize lead-zinc deposit,focused on deposit genesis,the sources of metallogenic materials,

The clinical study of solute rem oval index( SRI) asan index to quantitate the adequcacy of hemodialysi

The clinical study of solute removal index (SRI) was performed in 20 stable maintenance hemodialysis patients in order to find a proper hemodialydsis dosage and improve the life quality of the patients.Plasma BUN levels were tested pre-hemodialysis and 0, 1 hr post-hemodialysis. Urea generation rate (G)、protein catabolic rate(PCR)、solute removal amount(R)、SRI were calculated by double pools urea kinetic model . The result showed that urea rebound rate was 18.5±3.35 % 1 hr after hemodialysis,R was 13.82±5.48 g, G was 4.85±1.39 g, PCR was 0.94±0.29 g/kg.d, SRI was 71.33±6.8% respectively, which indicated that SRI was a better index to quantitate the adequacy of hemodialysis.

Progress in quantitative research on the relationship between atmospheric oxidation and air quality

Atmospheric oxidizing capacity(AOC)is an essential driving force of troposphere chemistry and self-cleaning,but the definition of AOC and its quantitative representation remain uncertain.Driven by national demand for air pollution control in recent years,Chinese scholars have carried out studies on theories of atmospheric chemistry and have made considerable progress in AOC research.This paper will give a brief review of these developments.First,AOC indexes were established that represent apparent atmospheric oxidizing ability(AOIe)and potential atmospheric oxidizing ability(AOIp)based on aspects of macrothermodynamics and microdynamics,respectively.A closed study refined the quantitative contributions of heterogeneous chemistry to AOC in Beijing,and these AOC methods were further applied in Beijing-Tianjin-Hebei and key areas across the country.In addition,the detection of ground or vertical profiles for atmospheric OH·,HO_(2)·,NO_(3)·radicals and reservoir molecules can now be obtained with domestic instruments in diverse environments.Moreover,laboratory smoke chamber simulations revealed heterogeneous processes involving reactions of O_(3)and NO_(2),which are typical oxidants in the surface/interface atmosphere,and the evolutionary and budgetary implications of atmospheric oxidants reacting under multispecies,multiphase and multi-interface conditions were obtained.Finally,based on the GRAPES-CUACE adjoint model improved by Chinese scholars,simulations of key substances affecting atmospheric oxidation and secondary organic and inorganic aerosol formation have been optimized.Normalized numerical simulations of AOIe and AOIp were performed,and regional coordination of AOC was adjusted.An optimized plan for controlling O_(3)and PM2.5was analyzed by scenario simulation.

A local spectrum enhancement-based method and its application in incipient fault diagnosis of rotating machinery

Incipient faults of gears and rolling bearings in rotating machineries are very difficult to identify using traditional envelope analysis methods.To address this challenge,this paper proposes an effective local spectrum enhancement‐based diagnostic method that can identify weak fault frequencies in the original complicated raw signals.For this purpose,a traversal frequency band segmentation technique is first proposed for dividing the raw signal into a series of subfrequency bands.Then,the proposed synthetic quantitative index is constructed for selecting the most informative local frequency band(ILFB)containing fault features from the divided subfrequency bands.Furthermore,an improved grasshopper optimization algorithmbased stochastic resonance(SR)system is developed for enhancing weak fault features contained in the selected most ILFB with less computation cost.Finally,the enhanced weak fault frequencies are extracted from the output of the SR system using a common spectrum analysis.Two experiments on a laboratory planetary gearbox and an open bearing data set are used to verify the effectuality of the proposed method.The diagnostic results demonstrate that the proposed method can identify incipient faults of gears and bearings in an effective and accurate manner.Furthermore,the advantages of the proposed method are highlighted by comparison with other methods.