Indoor air quality prediction systems for smart environments: A systematic review

[1]  Mikkel Baun Kjærgaard,et al.  Anonymizing building data for data analytics in cross-organizational settings , 2019, IoTDI.

[2]  Viktor K. Prasanna,et al.  Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation , 2019, BuildSys@SenSys.

[3]  V. Fthenakis,et al.  Nanoparticle emissions from residential wood combustion: A critical literature review, characterization, and recommendations , 2019, Renewable and Sustainable Energy Reviews.

[4]  Sergio Trilles,et al.  Air Quality Prediction in Smart Cities Using Machine Learning Technologies based on Sensor Data: A Review , 2020, Applied Sciences.

[5]  Alberto Cerpa,et al.  OCTOPUS: Deep Reinforcement Learning for Holistic Smart Building Control , 2019, BuildSys.

[6]  Avinash Chandra,et al.  Household Air Pollution from Cooking Fuels: An Environmental and Public Health Challenge , 2016 .

[7]  Jocelyn Kaiser,et al.  How Dirty Air Hurts the Heart , 2005, Science.

[8]  Daniel Pope,et al.  WHO indoor air quality guidelines on household fuel combustion: Strategy implications of new evidence on interventions and exposure–risk functions , 2015 .

[9]  Fardin Ahmadizar,et al.  A novel multivariate filter method for feature selection in text classification problems , 2018, Eng. Appl. Artif. Intell..

[10]  Afamia Elnakat,et al.  The flame dilemma: A data analytics study of fireplace influence on winter energy consumption at the residential household level , 2016 .

[11]  Sherry Everett Jones,et al.  Association of School District Policies for Radon Testing and Radon-Resistant New Construction Practices with Indoor Radon Zones , 2016, International journal of environmental research and public health.

[12]  Juan C. Granda,et al.  Indoor Air Quality Monitoring Sensor for the Web of Things , 2018 .

[13]  Maitreyee Dutta,et al.  Indoor Air Quality Monitoring Systems Based on Internet of Things: A Systematic Review , 2020, International journal of environmental research and public health.

[14]  Robert C. Klein,et al.  Laboratory air quality and room ventilation rates: An update , 2011 .

[15]  M G Apte,et al.  Comparison of predicted and derived measures of volatile organic compounds inside four new relocatable classrooms. , 2004, Indoor air.

[16]  S S Huang,et al.  Forecasts Using Neural Network versus Box-Jenkins Methodology for Ambient Air Quality Monitoring Data , 2000, Journal of the Air & Waste Management Association.

[17]  Diane J. Cook,et al.  Predicting air quality in smart environments , 2010, J. Ambient Intell. Smart Environ..

[18]  Olivier Ramalho,et al.  Machine learning and statistical models for predicting indoor air quality. , 2019, Indoor air.

[19]  H. Alaei,et al.  Selection of the most important features affecting pistachio endocarp lesion problem using artificial intelligence techniques , 2019, Scientia Horticulturae.

[20]  G. Graudenz,et al.  Association of air-conditioning with respiratory symptoms in office workers in tropical climate. , 2005, Indoor air.

[21]  William G. Griswold,et al.  CitiSense: improving geospatial environmental assessment of air quality using a wireless personal exposure monitoring system , 2012, Wireless Health.

[22]  Lothar Thiele,et al.  W-Air , 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

[23]  S. Mishra,et al.  Geographic and socio-economic variation in markers of indoor air pollution in Nepal: evidence from nationally-representative data , 2019, BMC Public Health.

[24]  S. Tao,et al.  Air pollution and inhalation exposure to particulate matter of different sizes in rural households using improved stoves in central China. , 2017, Journal of environmental sciences.

[25]  Kees de Hoogh,et al.  Effects of travel mode on exposures to particulate air pollution. , 2008, Environment international.

[26]  P. Wargocki,et al.  Towards the definition of indicators for assessment of indoor air quality and energy performance in low-energy residential buildings , 2017 .

[27]  F. C. Tian,et al.  A Novel Cost-Effective Portable Electronic Nose for Indoor-/In-Car Air Quality Monitoring , 2012, 2012 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring.

[28]  Peder Wolkoff,et al.  Re-evaluation of the WHO (2010) formaldehyde indoor air quality guideline for cancer risk assessment , 2016, Archives of Toxicology.

[29]  M. Andamon,et al.  Indoor Environmental Quality of Preparatory to Year 12 (P-12) Educational Facilities in Australia: Challenges and Prospects , 2018, Energy Performance in the Australian Built Environment.

[30]  P. Tchounwou,et al.  Spatio-Temporal Variation of Particulate Matter(PM2.5) Concentrations and Its Health Impacts in a Mega City, Delhi in India , 2018, Environmental health insights.

[31]  Kalyan Veeramachaneni,et al.  Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems , 2014, J. Ambient Intell. Smart Environ..

[32]  Tsang-Chu Yu,et al.  Wireless sensing system for prediction indoor air quality , 2012, 2012 4th International High Speed Intelligent Communication Forum.

[33]  Daniel Krewski,et al.  Comparing the Health Effects of Ambient Particulate Matter Estimated Using Ground-Based versus Remote Sensing Exposure Estimates , 2016, Environmental health perspectives.

[34]  Chao Hu,et al.  Power System Transient Stability Prediction Algorithm Based on ReliefF and LSTM , 2019, ICAIS.

[35]  Radek Martinek,et al.  New method for accurate prediction of CO2 in the Smart Home , 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[36]  Joshua P. Keller,et al.  Long‐Term Coarse Particulate Matter Exposure Is Associated with Asthma among Children in Medicaid , 2017, American journal of respiratory and critical care medicine.

[37]  Mark Thurber,et al.  Government Policy, Clean Fuel Access, and Persistent Fuel Stacking in Ecuador. , 2018, Energy for sustainable development : the journal of the International Energy Initiative.

[38]  António M. Lopes,et al.  Temperature time series: Pattern analysis and forecasting , 2017, 2017 4th Experiment@International Conference (exp.at'17).

[39]  C. Wild.  Complementing the Genome with an “Exposome”: The Outstanding Challenge of Environmental Exposure Measurement in Molecular Epidemiology , 2005, Cancer Epidemiology Biomarkers & Prevention.

[40]  Wei-Chiang Hong,et al.  Indoor Air Quality Monitoring Systems for Enhanced Living Environments: A Review toward Sustainable Smart Cities , 2020, Sustainability.

[41]  Mi Zhang,et al.  AirSense: an intelligent home-based sensing system for indoor air quality analytics , 2016, UbiComp.

[42]  Lingfeng Wang,et al.  Intelligent Control of Ventilation System for Energy-Efficient Buildings With ${\rm CO}_{2}$ Predictive Model , 2013, IEEE Transactions on Smart Grid.

[43]  M. Tutino,et al.  Discontinuous and Continuous Indoor Air Quality Monitoring in Homes with Fireplaces or Wood Stoves as Heating System , 2015, International journal of environmental research and public health.

[44]  J. Saini,et al.  A comprehensive review on indoor air quality monitoring systems for enhanced public health , 2020 .

[45]  Wen-Tien Tsai,et al.  Overview of Green Building Material (GBM) Policies and Guidelines with Relevance to Indoor Air Quality Management in Taiwan , 2017 .

[46]  Maedot S. Andargie,et al.  A review of factors affecting occupant comfort in multi-unit residential buildings , 2019, Building and Environment.

[47]  Z. Allam,et al.  On big data, artificial intelligence and smart cities , 2019, Cities.

[48]  Aderemi Oluyinka Adewumi,et al.  Integrating Statistical Machine Learning in a Semantic Sensor Web for Proactive Monitoring and Control , 2017, Sensors.

[49]  Tsang-Jung Chang,et al.  Quantitative Prediction of Traffic Pollutant Transmission into Buildings , 2003, Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering.

[50]  Yan Wang,et al.  Health and wellness monitoring using ambient sensor networks , 2020, J. Ambient Intell. Smart Environ..

[51]  M. Huxham,et al.  Firewood usage and indoor air pollution from traditional cooking fires in Gazi Bay, Kenya , 2018 .

[52]  Manh Duong Phung,et al.  Sensing Data Fusion for Enhanced Indoor Air Quality Monitoring , 2020, IEEE Sensors Journal.

[53]  Steinar K. Nilsen,et al.  Do Carpets Impair Indoor Air Quality and Cause Adverse Health Outcomes: A Review , 2018, International journal of environmental research and public health.

[54]  Joel Schwartz,et al.  Exposure to particulate air pollution and cognitive decline in older women. , 2011, Archives of internal medicine.

[55]  Fang Fang,et al.  Gaussian process based IAQ distribution mapping using an interactive service robot , 2016, J. Ambient Intell. Smart Environ..

[56]  William F. Ryan,et al.  The air quality forecast rote: Recent changes and future challenges , 2016, Journal of the Air & Waste Management Association.

[57]  Sanjiban Sekhar Roy,et al.  Prediction of air-pollutant concentrations using hybrid model of regression and genetic algorithm , 2020, J. Intell. Fuzzy Syst..

[58]  S. Ahmad,et al.  Air Pollution Monitoring and Prediction , 2015 .

[59]  Thanos G. Stavropoulos,et al.  A smart university platform for building energy monitoring and savings , 2016, J. Ambient Intell. Smart Environ..

[60]  Gonçalo Marques,et al.  Monitoring Indoor Air Quality for Enhanced Occupational Health , 2017, Journal of Medical Systems.

[61]  Weiwei Sun,et al.  Indoor air quality monitoring system for smart buildings , 2014, UbiComp.

[62]  M. Lawrence,et al.  Indoor levels of black carbon and particulate matters in relation to cooking activities using different cook stove-fuels in rural Nepal , 2019, Energy for Sustainable Development.

[63]  Allahbakhsh Javid,et al.  Towards the Application of Fuzzy Logic for Developing a Novel Indoor Air Quality Index (FIAQI) , 2016, Iranian journal of public health.

[64]  Jen-Wei Huang,et al.  Adaptive Deep Learning-Based Air Quality Prediction Model Using the Most Relevant Spatial-Temporal Relations , 2018, IEEE Access.

[65]  Joaquin Ordieres-Mere,et al.  The Use of the Internet of Things for Estimating Personal Pollution Exposure , 2019, International journal of environmental research and public health.

[66]  Alok Gupta,et al.  Noise Pollution and Impact on Children Health , 2018, The Indian Journal of Pediatrics.

[67]  Nicholas J Schork,et al.  Artificial Intelligence and Personalized Medicine. , 2019, Cancer treatment and research.

[68]  Tomasz Grychowski,et al.  Fuzzy inference system for the assessment of indoor environmental quality in a room , 2017 .

[69]  Steve Bonino.  Carbon Dioxide Detection and Indoor Air Quality Control. , 2016, Occupational health & safety.

[70]  Liang He,et al.  Indoor Air Monitoring System Based on Internet of Things and Its Prediction Model , 2019, ICNSER2019.

[71]  A. Melikov,et al.  Measurement and prediction of indoor air quality using a breathing thermal manikin. , 2007, Indoor air.

[72]  S. Vesper,et al.  Indoor particulate matter and lung function in children. , 2019, The Science of the total environment.

[73]  Li Shang,et al.  A Hybrid Sensor System for Indoor Air Quality Monitoring , 2013, 2013 IEEE International Conference on Distributed Computing in Sensor Systems.

[74]  Zeki Argunhan,et al.  Statistical Evaluation of Indoor Air Quality Parameters in Classrooms of a University , 2018 .

[75]  Amy Loutfi,et al.  Reasoning for sensor data interpretation: An application to air quality monitoring , 2015, J. Ambient Intell. Smart Environ..

[76]  Ji-Qin Ni,et al.  A prediction model of ammonia emission from a fattening pig room based on the indoor concentration using adaptive neuro fuzzy inference system. , 2017, Journal of hazardous materials.

[77]  Xinrong Li,et al.  A Cost-effective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications , 2014, FNC/MobiSPC.

[78]  Nikolaos M. Avouris,et al.  Feature selection for air quality forecasting: a genetic algorithm approach , 2003, AI Commun..

[79]  Bianca Zadrozny,et al.  Categorizing feature selection methods for multi-label classification , 2016, Artificial Intelligence Review.

[80]  Hui Xie,et al.  Prediction of Indoor Air Quality Using Artificial Neural Networks , 2009, 2009 Fifth International Conference on Natural Computation.

[81]  S. Capolongo,et al.  Indoor Air Quality in Healing Environments: Impacts of Physical, Chemical, and Biological Environmental Factors on Users , 2017 .

[82]  Francesco Pilla,et al.  Prediction of Indoor Air Exposure from Outdoor Air Quality Using an Artificial Neural Network Model for Inner City Commercial Buildings , 2015, International journal of environmental research and public health.

[83]  Itai Kloog,et al.  A review of AirQ Models and their applications for forecasting the air pollution health outcomes , 2017, Environmental Science and Pollution Research.

[84]  P. Giungato,et al.  Indoor air quality in schools , 2014, Environmental Chemistry Letters.

[85]  ChangKyoo Yoo,et al.  Data-driven prediction model of indoor air quality by the preprocessed recurrent neural networks , 2009, 2009 ICCAS-SICE.

[86]  Dennis Y. C. Leung,et al.  Outdoor-indoor air pollution in urban environment: challenges and opportunity , 2015, Front. Environ. Sci..

[87]  Abdullah Kadri,et al.  A Modular IoT Platform for Real-Time Indoor Air Quality Monitoring , 2018, Sensors.

[88]  Jang-Young Lee,et al.  How does indoor environmental quality in green refurbished office buildings compare with the one in new certified buildings? , 2020 .

[89]  W R Ott,et al.  Mathematical models for predicting indoor air quality from smoking activity. , 1999, Environmental health perspectives.

[90]  B. R. Gurjar,et al.  Low-Cost Sensors for Air Quality Monitoring in Developing Countries – A Critical View , 2019, Asian Journal of Water, Environment and Pollution.

[91]  Tong Ruan,et al.  A Multiple Kernel Learning Approach for Air Quality Prediction , 2018, Advances in Meteorology.

[92]  Zhiyuan Li,et al.  Prediction model for air particulate matter levels in the households of elderly individuals in Hong Kong. , 2019, The Science of the total environment.

[93]  Sujoy Saha,et al.  IoT based indoor environment data modelling and prediction , 2018, 2018 10th International Conference on Communication Systems & Networks (COMSNETS).

[94]  Anastasios I. Dounis,et al.  Comparison of Conventional and Fuzzy Control of Indoor Air Quality in Buildings , 1996, J. Intell. Fuzzy Syst..

[95]  Haiyan Lu,et al.  Air Pollution Forecasts: An Overview , 2018, International journal of environmental research and public health.

[96]  David E. Campbell,et al.  Linking Air Quality and Human Health Effects Models: An Application to the Los Angeles Air Basin , 2017, Environmental health insights.

[97]  Jihoon Yang,et al.  Indoor Air Quality Analysis Using Deep Learning with Sensor Data , 2017, Sensors.

[98]  ChangKyoo Yoo,et al.  Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks. , 2019, Ecotoxicology and environmental safety.

[99]  Bowen Li,et al.  Natural gas and electricity: Two perspective technologies of substituting coal‐burning stoves for rural heating and cooking in Hebei Province of China , 2018, Energy Science & Engineering.

[100]  Thinagaran Perumal,et al.  Fuzzy logic predictive method for indoor environment parametric dataset , 2017, 2017 IEEE International Symposium on Consumer Electronics (ISCE).

[101]  Robert D. Retherford,et al.  Biomass cooking fuels and prevalence of blindness in India. , 1999 .

[102]  Thanos G. Stavropoulos,et al.  BOnSAI: a smart building ontology for ambient intelligence , 2012, WIMS '12.

[103]  Stefano Chessa,et al.  Internet of Things for enabling smart environments: A technology-centric perspective , 2019, J. Ambient Intell. Smart Environ..

[104]  Hao Li,et al.  Exploring the potential relationship between indoor air quality and the concentration of airborne culturable fungi: a combined experimental and neural network modeling study , 2018, Environmental Science and Pollution Research.

[105]  Zhijun Li,et al.  AirCloud: a cloud-based air-quality monitoring system for everyone , 2014, SenSys.

[106]  Rui Li,et al.  Smart control of indoor thermal environment based on online learned thermal comfort model using infrared thermal imaging , 2017, 2017 13th IEEE Conference on Automation Science and Engineering (CASE).

[107]  Wang-Kun Chen,et al.  An experimental study on fuzzy control for indoor air quality and the energy consumption in a building , 2015, 2015 International Conference on Machine Learning and Cybernetics (ICMLC).

[108]  Abdellatif Kobbane,et al.  MoreAir: A Low-Cost Urban Air Pollution Monitoring System , 2020, Sensors.

[109]  S. Hoff,et al.  Forecasting Daily Source Air Quality Using Multivariate Statistical Analysis and Radial Basis Function Networks , 2008, Journal of the Air & Waste Management Association.

[110]  Tianbao Yang,et al.  A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization , 2018, Big Data Cogn. Comput..

[111]  João Varajão,et al.  An exploratory study on the influence of socio-demographic characteristics on water end uses inside buildings. , 2014, The Science of the total environment.

[112]  Shereen A. Taie,et al.  H-Ahead Multivariate microclimate Forecasting System Based on Deep Learning , 2019, 2019 International Conference on Innovative Trends in Computer Engineering (ITCE).

[113]  Debopam Acharya,et al.  SmartVent: A Context Aware IoT System to Measure Indoor Air Quality and Ventilation Rate , 2016, 2016 17th IEEE International Conference on Mobile Data Management (MDM).

[114]  Ivan Miguel Pires,et al.  Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things , 2019, Electronics.

[115]  Sheikh Ahmad Zaki,et al.  A review on windcatcher for passive cooling and natural ventilation in buildings, Part 1: Indoor air quality and thermal comfort assessment , 2017 .

[116]  A. Persily.  Field measurement of ventilation rates. , 2016, Indoor air.

[117]  J. Beringer,et al.  Changing Urban Climate and CO2 Emissions: Implications for the Development of Policies for Sustainable Cities , 2010 .

[118]  Massano Cardoso,et al.  Indoor air quality and health in schools , 2014, Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia.

[119]  Nikolas Vidakis,et al.  Recodify: an intelligent environment and space hazard condition monitoring system based on WSN and IoT technology , 2018, PCI.

[120]  Kok-Leong Ong,et al.  Feature selection for high dimensional imbalanced class data using harmony search , 2017, Eng. Appl. Artif. Intell..

[121]  Chung-Chih Lin,et al.  An Intelligent Wireless Sensing and Control System to Improve Indoor Air Quality: Monitoring, Prediction, and Preaction , 2015, Int. J. Distributed Sens. Networks.

[122]  Yun Zhao,et al.  Health Risk Assessment of Indoor Air Quality, Socioeconomic and House Characteristics on Respiratory Health among Women and Children of Tirupur, South India , 2017, International journal of environmental research and public health.

[123]  A. Sheikh,et al.  Muslim Communities Learning About Second-hand Smoke in Bangladesh (MCLASS II): study protocol for a cluster randomised controlled trial of a community-based smoke-free homes intervention, with or without Indoor Air Quality feedback , 2019, Trials.

[124]  I. Mäkeläinen,et al.  Indoor occupancy and radon exposure in Finland , 2005 .