Please use this identifier to cite or link to this item:
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.
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)

Files in This Item:
File Description SizeFormat 
  Restricted Access
Comfort and living environment analysis in smart living environment4.04 MBAdobe PDFView/Open

Page view(s)

Updated on Jun 17, 2024


Updated on Jun 17, 2024

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.