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Selection of Optimal Quality Water for Specific Uses by ANN-MCDM based Auto-Selector

Project Idea :
Selection of Optimal Quality Water for Specific Uses by ANN-MCDM based Auto-Selector

Requirement :
Knowledge of photo-sensors,Artifiicial Neural Network,Multi-Criteria Decision Making.

Justification of the Study :
The change in the climate pattern,pollution concentration in the air and water,ever growing demand and lastly the uncontrolled extraction of natural resources has induced a situation where the amount of water demanded,available and usable has noticeable level of difference.That is why day by day water is becoming scarce and consumers has to ensure proper measures for optimal utilization of the resource.An automatic selector which can seperate water based on its quality specific uses may help to control misuse of the resource.

Brief Methodology :
Relationship between water quality and its uses must be determined first.The MCDM techniques can be devised to decide about the quality of water for specific use.After correlation is determined some sensors may be used to detect few of the major quality parameters of water : BOD, DO, TDS , TSS and pH.The weightage of importance of each of the parameter can be estimated by MCDM with the help of experts,literatures and consumers in aspect of deciding the intended us of the same.A weight function can be prepared to determine the selectability of the water for a specific use as inputted by the user.

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