Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/75032
Title: Comfort and living environment analysis in smart living environment
Authors: Khine, Wint Wah
Keywords: DRNTU::Engineering
Issue Date: 2018
Abstract: This project will be focus on achieving the integrative sensor-enabled information system for indoor environment. PMV model is used as a standard model for analyzing the relationship between six input parameters; Air Temperature, Air Velocity, Humidity, Mean Radiant Temperature, Clothing Level and Metabolic Rate. By applying this understanding of each input parameter correlation, thermal comfort model is implemented by using machine learning techniques and Neural Net Fitting Tool in MATLAB software application. Using most persistent and reliable thermal comfort model for integrative sensor-enabled information system, real time quality of indoor environment can be evaluated for better smart living indoor environment.
URI: http://hdl.handle.net/10356/75032
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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