Air Quality Assessment of Ontario Using an Open Source Decision Support System

2012 ◽  
Author(s):  
Samira Muhammad
Keyword(s):  
Decision Support ◽  
Air Quality ◽  
Decision Support System ◽  
Quality Assessment ◽  
Open Source ◽  
Support System ◽  
Air Quality Assessment

A fast and robust decision support system for in-line quality assessment of resistance seam welds in the steelmaking industry

2012 ◽  
Vol 63 (3) ◽  
pp. 222-230 ◽  
Author(s):  
Julio Molleda ◽  
Juan L. Carús ◽  
Rubén Usamentiaga ◽  
Daniel F. García ◽  
Juan C. Granda ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Quality Assessment ◽  
Support System

Individual Exposure Modelling in an Integrated Decision Support System for Air Quality Management

Epidemiology ◽  
2009 ◽  
Vol 20 ◽  
pp. S21-S22
Author(s):  
Alexandra Kuhn ◽  
Miranda Loh ◽  
Lydia Gerharz ◽  
Sandra Torras Ortiz ◽  
Aileen Yang ◽  
...  
Keyword(s):  
Decision Support ◽  
Air Quality ◽  
Quality Management ◽  
Decision Support System ◽  
Support System ◽  
Air Quality Management ◽  
Individual Exposure

<i>Design, Development and Evaluation of an Open Source Gateway for the SmartFarm Decision Support System.</i>

2018 ◽  
Author(s):  
Caleb Fink ◽  
Bo Liu ◽  
Fletcher Easton ◽  
Chandra Krintz ◽  
Rich Wolski ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Open Source ◽  
Support System ◽  
Design Development

scholarly journals A Statistical Model for Shutdowns due to Air Quality Control for a Copper Production Decision Support System

Organizacija ◽  
2015 ◽  
Vol 48 (3) ◽  
pp. 198-202
Author(s):  
Khalid Aboura
Keyword(s):  
Quality Control ◽  
Decision Support ◽  
Air Quality ◽  
Decision Support System ◽  
Statistical Model ◽  
Support System ◽  
Copper Production ◽  
Production Facility ◽  
Air Quality Control ◽  
High Level

Abstract Background: In the mid-1990s, a decision support system for copper production was developed for one of the largest mining companies in Australia. The research was conducted by scientists from the largest Australian research center and involved the use of simulation to analyze options to increase production of a copper production facility. Objectives: We describe a statistical model for shutdowns due to air quality control and some of the data analysis conducted during the simulation project. We point to the fact that the simulation was a sophisticated exercise that consisted of many modules and the statistical model for shutdowns was essential for valid simulation runs. Method: The statistical model made use of a full year of data on daily downtimes and used a combination of techniques to generate replications of the data. Results: The study was conducted with a high level of cooperation between the scientists and the mining company. This contributed to the development of accurate estimates for input into a support system with an EXCEL based interface. Conclusion: The environmental conditions affected greatly the operations of the production facility. A good statistical model was essential for the successful simulation and the high budget expansion decision that ensued.

scholarly journals Design of an open source framework for oil spill decision support system

2016 ◽  
Author(s):  
Sahar Mokhtari ◽  
Jiri Kadlec
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Open Source ◽  
Oil Spill ◽  
Support System ◽  
Oil Pollution ◽  
Long Term Effects ◽  
Economic Activities ◽  
Software Application

Oil spill in marine ecosystems have serious short term and long term effects on aquatics lifecycle and on social and economic activities. A Decision Support System (DSS) can assist environmental managers to visualize the distribution of oil pollution, identify sensitive areas that are likely to be exposed to oil pollutions, and assess vulnerable resources. This paper describes the design of an open source software framework and a prototype desktop software application of a DSS for oil spill management. This system can be connected to an open source oil spill simulation model. We also present a user interface for selecting the properties, time and location of a potential oil spill and for visualizing the oil spill affected area and its impact on coastal zone.

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