indoor-air-quality
There are 1 repository under indoor-air-quality topic.
simonom / PyCHAM
PyCHAM: CHemistry with Aerosol Microphysics in Python box model for Windows, Linux and Mac
Language:Python 48CedarGroveStudios / CircuitPython_AirQualityTools
A collection of CircuitPython helpers used for the calculation of PM2.5 and CO2 air quality levels.
Language:Python 3AmalKth / Control-Aire-1.0
HE1040 Electronics design, project course. KTH Royal Institute of Technology.
Language:C++ 2belbert / VCVTB
An EnergyPlus version 8 based Ventilation Controls Virtual Test Bed for accelerated modelling, testing and comparing of single and mixed-mode ventilation systems and their control strategies
Language:HTML 2- Language:C++ 2
- annex
IEA-EBC-Annex86 / annex
R package to process and store data for the IEA EBC - Annex 86 - Energy Efficient Indoor Air Quality Management in Residential Buildings project. For details visit https://annex86.iea-ebc.org/. Documentation and examples available on https://iea-ebc-annex86.github.io/annex/
Language:R 2 data-lao / tNrInstrument
Repository for code related to the Total Reactive Nitrogen (tNr) Instrument built by the VandenBoer research group
Language:LabVIEW 1gilbertclements / New_EIR_UVC
CSUS Senior Design Project 2021 Team members: Gil Clements | Aaron Costello | Alex Garcia | Max Repko | Richard Torres
Language:C++ 1azariahboyd23 / Cyprus-Research-Program
The following data and analysis was conducted at the Harvard T.H. Chan School of Public Health Environmental Health Department and Cyprus Research Program.
Language:HTML 0avsa242 / sgp30-spin
Parallax P8X32A/Propeller driver object for the Sensirion SGP30 Indoor Air Quality sensor
Language:Propeller Spinmarinimau / cooking_activity_recognition_new_attempt
The application classifies the minutes in which the user has cooked. The dataset contains one record per minute for approximately one month.
Language:Jupyter NotebookLo scopo dell'applicazione è quello di costruire un feature vector per la predizione dei pasti in base a valori registrati da sensori di qualità dell'aria. Le feature prodotte verranno automaticamente unite a feature statistiche già presenti in alcuni files. Per la classificazione utilizzare il Knowledge Flow Enviroment di Weka impostato nel file allegato.
Language:Pythonwsular / 2015-iaqcc-home-daq
Details on the whole-house air quality monitoring system used during the Indoor Air Quality & Climate Change study (2015-2018)
Low-cost wireless sensor node for environmental data (CO2, T, RH, P) used during the Indoor Air Quality & Climate Change study (2015-2018)
Language:Python
