Comparison of discriminant analysis methods: Application to occupational exposure to particulate matter

2016 ◽  
Author(s):  
M. Rosário Ramos ◽  
E. Carolino ◽  
Carla Viegas ◽  
Sandra Viegas
Keyword(s):  
Particulate Matter ◽  
Discriminant Analysis ◽  
Occupational Exposure ◽  
Analysis Methods

scholarly journals Occupational Exposure to Fine Particulate Matter (PM4 and PM2.5) during Hand-Made Cookware Operation: Personal, Indoor and Outdoor Levels

2020 ◽  
Vol 17 (20) ◽  
pp. 7522
Author(s):  
Busisiwe Shezi ◽  
Angela Mathee ◽  
Nokulunga Cele ◽  
Sipho Ndabandaba ◽  
Renee A. Street
Keyword(s):  
Particulate Matter ◽  
Occupational Exposure ◽  
Fine Particles ◽  
Fine Particulate Matter ◽  
Health And Safety ◽  
Chemical Characterization ◽  
Personal Exposure ◽  
Targeted Prevention ◽  
Fine Particulate ◽  
Indoor And Outdoor

(1) Exposure of informal artisanal cookware makers to fine particles has not yet been characterized. The aim of this study was to characterize occupational exposure to fine particulate matter (PM4 and PM2.5) levels and fine particulate matter (PM2.5) elemental components; (2) Artisanal cookware makers were recruited from five cookware making sites. Exposure to fine particulate matter was measured for 17 male participants. SidePak personal aerosol monitors (AM520) were used to measure personal exposure to PM4, while a DustTrak monitor and an E-sampler were used to assess indoor and outdoor PM2.5 levels, respectively. A questionnaire was administered to capture information on demographic characteristics. The chemical characterization of indoor and outdoor PM2.5 filter mass was conducted using Wavelength Dispersive X-ray Fluorescence. Time series record of 15-min averages for indoor and outdoor PM2.5 levels were assessed; (3) The median (range) was 124 µg/m3 (23−100,000), 64 µg/m3 (1−6097) and 12 µg/m3 (4−1178), respectively, for personal PM4, indoor and outdoor PM2.5. The highest levels for many of the elemental components of PM2.5 were found in the outdoor PM2.5 filter mass and (4). The information generated during this study may assist in extending occupational health and safety strategies to artisanal cookware makers and developing targeted prevention initiatives.

Parameterized Discriminant Analysis Methods

2011 ◽  
pp. 78-105
Author(s):  
David Zhang ◽  
Fengxi Song ◽  
Yong Xu ◽  
Zhizhen Liang
Keyword(s):  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Scatter Matrix ◽  
Linear Discriminant ◽  
Analysis Methods

In this chapter, we mainly present three kinds of weighted LDA methods. In Sections 5.1, 5.2 and 5.3, we respectively present parameterized direct linear discriminant analysis, weighted nullspace linear discriminant analysis and weighted LDA in the range of within-class scatter matrix. We offer a brief summery of the chapter in Section 5.4.

scholarly journals Classification: Astronomical and Mathematical Overview

1994 ◽  
Vol 161 ◽  
pp. 227-233
Author(s):  
F. Murtagh
Keyword(s):  
Feature Selection ◽  
Discriminant Analysis ◽  
Uncertainty Principle ◽  
User Choice ◽  
Short Overview ◽  
Analysis Methods ◽  
Guide Star

A short overview is presented of a number of different discriminant analysis methods. An ‘uncertainty principle’ is presented in regard to the issue of user choice of appropriate method. The discriminant analysis methods described are then used in the important problem of feature selection. A hand-classified set of HST Guide Star plate data is used, with star/galaxy/fault classes.

Occupational exposure to particulate matter from three agricultural crops in California

2014 ◽  
Vol 217 (2-3) ◽  
pp. 226-230 ◽  
Author(s):  
Rebecca E. Moran ◽  
Deborah H. Bennett ◽  
John Garcia ◽  
Marc B. Schenker
Keyword(s):  
Particulate Matter ◽  
Occupational Exposure ◽  
Agricultural Crops
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