Investigation and Study of the Law of Passenger Distribution in One Carriage of Subway in Beijing

2013 ◽  
Vol 361-363 ◽  
pp. 2083-2087
Author(s):  
Qi Bing Wu ◽  
Feng Chen ◽  
Ji Ping Fang ◽  
Ou Yang Liu ◽  
Chang Liu ◽  
...  
Keyword(s):  
Linear Regression ◽  
Standing Position ◽  
On Line ◽  
The Law ◽  
Predicted Values ◽  
Investigation And Study ◽  
Regression Theory ◽  
Beijing Subway

The characteristics of passengers standing-position choice and the factors that have effects on passenger distribution are analyzed. According to the investigation results, the disproportion of passenger distribution in one subway carriage is confirmed. The curves about the standing passenger density (from 0-6p/m2) and the passenger number that use different facilities on Line 4 and Line 13 of Beijing Subway are fitted by means of the linear regression theory. Then, the equations of the curves are able to predict the passenger distribution under the situations of different standing passenger densities. After comparing the predicted values with the investigated values, the feasibility of the model is validated accordingly.

Online estimation of VFA, alkalinity and bicarbonate concentrations by electrical conductivity measurement during anaerobic fermentation

2012 ◽  
Vol 65 (7) ◽  
pp. 1281-1289 ◽  
Author(s):  
Cesar-Arturo Aceves-Lara ◽  
Eric Latrille ◽  
T. Conte ◽  
Jean-Philippe Steyer
Keyword(s):  
Electrical Conductivity ◽  
Hydrogen Production ◽  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Anaerobic Fermentation ◽  
Simple Linear Regression ◽  
Conductivity Measurements ◽  
Bicarbonate Concentration ◽  
On Line

This paper describes the use of electrical conductivity for measurement of volatile fatty acids (VFA), alkalinity and bicarbonate concentrations, during the anaerobic fermentation process. Two anaerobic continuous processes were studied: the first was a laboratory reactor for hydrogen production from molasses and the second was a pilot process for anaerobic digestion (AD) of vinasses producing methane. In the hydrogen production process, the total VFA concentration, but not bicarbonate concentration, was well estimated from the on-line electrical conductivity measurements with a simple linear regression model. In the methane production process, the bicarbonate concentration and the VFA concentration were well estimated from the simultaneous on-line measurements of pH and electrical conductivity by means of non-linear regression with neural network models. Moreover, the total alkalinity concentration was well estimated from electrical conductivity measurements with a simple linear regression model. This demonstrates the use of electrical conductivity for monitoring the AD processes.

An Evaluation of the Kenz Calorie Counter during Progressive Treadmill Exercise in Adults and Children

1996 ◽  
Vol 8 (2) ◽  
pp. 156-165 ◽  
Author(s):  
Nicholas J. Walters ◽  
David A. Brodie
Keyword(s):  
Linear Regression ◽  
Energy Expenditure ◽  
Body Mass ◽  
Correction Factor ◽  
Treadmill Exercise ◽  
Gas Analysis ◽  
Age Group ◽  
Measured Energy ◽  
Adults And Children ◽  
On Line

The purpose of this study was to assess the validity of data derived from the Kenz calorie counter during progressive, incremental treadmill exercise. Direct comparisons were made with calories calculated from on-line gas analysis. The subjects were 18 adults, 18 postadolescent children, and 24 preadolescent children. Linear regression (r2 > .95) showed a progressive deviation away from a 1:1 relationship between Kenz data and V̇O2 data with increasing age of subject which remained when standardized to kcal · kg−1 body mass or kcal · m−2 · hour−1. The Kenz calorie counter, after applying an age group correction factor, can thus be used as a suitable analog for measured energy expenditure.

Statistical Methods

2010 ◽  
pp. 73-109
Author(s):  
Patricia Cerrito
Keyword(s):  
Logistic Regression ◽  
Linear Regression ◽  
Length Of Stay ◽  
Resource Utilization ◽  
Healthcare Providers ◽  
Severity Index ◽  
Actual Mortality ◽  
Actual Outcome ◽  
Predicted Values ◽  
Quality Ranking

Ultimately, a patient severity index is used to compare patient outcomes across healthcare providers. If the outcome is mortality, logistic regression is used. If the outcome is cost, length of stay, or some other resource utilization, then linear regression is used. A provider is ranked based upon the differential between predicted outcome and actual outcome. The greater this differential, the higher the quality ranking. There are two ways to increase this differential. The first is to improve care to decrease actual mortality or length of stay. The second is to improve coding to increase the predicted mortality or length of stay. Ultimately, it is cheaper to increase the predicted values than it is to decrease the actual values. Many providers take this approach.

scholarly journals Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process

2019 ◽  
Vol 33 (1) ◽  
pp. 141-151 ◽  
Author(s):  
Pavel Hrnčiřík ◽  
Tomáš Moucha ◽  
Jan Mareš ◽  
Jan Náhlík ◽  
Dagmar Janáčová
Keyword(s):  
Linear Regression ◽  
Heat Production ◽  
Process Model ◽  
Biomass Concentration ◽  
Main Process ◽  
Software Sensor ◽  
Enthalpy Balance ◽  
Filamentous Microorganisms ◽  
Software Sensors ◽  
On Line

In this study, the potential of two software sensors for on-line estimation of biomass concentration during cultivation of filamentous microorganisms is examined. The first sensor is based on common bioreactor off-gas analyses, and uses the assumption of the biomass concentration linear dependence on the square root of cumulative O2 consumption. Parameters of the semi-empirical data-driven software sensor based on off-gas analysis were calculated from experimental cultivation data using linear regression. The second sensor is based on biocalorimetry, i.e., the on-line calculation of metabolic heat flux from general enthalpy balance of the bioreactor. The software sensor based on biocalorimetry thus essentially represents a model-driven approach, making use of a fundamental process model based on the enthalpy balance around the bioreactor. This approach has been combined with the experimental identification of the specific biomass heat production, which represents the main process-specific parameter of the software sensor based on biocalorimetry. For this sensor, the accuracy requirements on the process variable on-line measurements were also analysed. The experimental data from the pilot-scale antibiotics Nystatin production by a bacterium Streptomyces noursei were used to calculate the specific bioprocess heat production value using linear regression. The achieved results enabled us to propose a new on-line indicator calculated as the ratio of the outputs of both sensors, which can serve as a timely warning of the risk of undesired nutritional conditions of a culture characterized as underfeeding.

Passing the Baton:

2003 ◽  
Vol 3 (3-4) ◽  
pp. 191-195
Author(s):  
Jerry Dupont
Keyword(s):  
Digital Library ◽  
The Past ◽  
Wide Range ◽  
The Us ◽  
On Line ◽  
The Law ◽  
The Uk ◽  
Law Library

I work for the Law Library Microform Consortium (LLMC), a cooperative with some 900 participating members. Most are in the US, with a fair number in Canada and some in Australia, the UK and sixteen other countries. For over a quarter of a century LLMC has provided its member libraries with a wide range of legal titles, including much Commonwealth material, on microfiche. We grew hoary in that task, but have been rejuvenated in a new role. We've just launched an on-line digital library, LLMC-Digital, which will provide vastly enhanced access to our materials. The foundation for this endeavour is our backfile of 92,000 volumes (some 49-million page images) filmed during the past 27 years. To that base will be added every new title acquired in LLMC's future filming or scanning.

Estimation of wind resources in the coast of Ceará, Brazil, using the linear regression theory

2014 ◽  
Vol 39 ◽  
pp. 509-529 ◽  
Author(s):  
Marcos Antonio Tavares Lira ◽  
Emerson Mariano Da Silva ◽  
José Maria Brabo Alves ◽  
Gielson Vitor Oliveira Veras
Keyword(s):  
Linear Regression ◽  
Regression Theory ◽  
Wind Resources
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