AQCI: An IoT Based Air Quality and Thermal Comfort Model using Fuzzy Inference

Rastogi, Krati; Barthwal, Anurag; Lohani, Divya

doi:10.1109/ants47819.2019.9118026

Cited by 12 publications

(5 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sérafin et al [97] present an original method for IAQ in office buildings by calculating a hazard quotient (HQ) and a hazard classification (CMRE). Based on the ventilation rate (VR) and on the Predicted Mean Vote (PMV), Rastogi et al [98] developed an indicator for IAQ and thermal comfort, the Air Quality and Comfort Indicator (AQCI), with a three level scale: 1) "good"; 2) "moderate; and 3) "poor".…”

Section: Methodology and Resultsmentioning

confidence: 99%

Filling the Health Gap in Energy Performance Certificates to Reduce Pulmonary Diseases Due to Bad Indoor Air Quality

Reis

Dias

Tavares

2022

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

show abstract

Section: Methodology and Resultsmentioning

confidence: 99%

Filling the Health Gap in Energy Performance Certificates to Reduce Pulmonary Diseases Due to Bad Indoor Air Quality

Reis

Dias

Tavares

2022

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…In an ROC curve, the sensitivity (true-positive rate) is displayed for various parameter threshold values, as a function of (1specificity) or the false alarm ratio. The points on the ROC curve [33] reflect a sensitivity/specificity pair according to a specific decision threshold. The area under the curve (AUC) is a measure of a parameter's ability to distinguish between different types of intrusion classes [34].…”

Section: Area Under Receiver Operating Characteristic (Roc)mentioning

confidence: 99%

“…The ROC curve provides insights into the trade-off between the true-positive rate in equation ( 9) [33] and the false-positive rate in equation (10) [33], allowing us to evaluate the classifier's performance at different classification thresholds.…”

Section: Area Under Receiver Operating Characteristic (Roc)mentioning

confidence: 99%

FSAS: An IoT-Based Security System for Crop Field Storage

Prakash

Barthwal

Avikal

et al. 2023

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

Internet of Things abstracts the ability to remotely associate and observe things or objects over the Internet. When it comes to agriculture, this idea has been incorporated to make agriculture-related tasks smart, secure, and automated. Agriculture is vital for economic growth and also for the survival of humans. Farmers living in rural areas of India face a common problem of the theft of equipment like induction motors from small storage houses meant for storing commodities in crop fields. In this study, we present a remote security management framework for monitoring the crop field storage house, known as the farm security alert system (FSAS). FSAS is a small, energy efficient, low cost, and accurate security management system that uses microcontroller-based passive infrared (PIR) sensor and global system for mobile communication (GSM) module to generate an alert to the farm owner if there is an intrusion event at the crop field store. The microcontroller board utilized in the proposed model is the Arduino Uno, and PIR motion sensor is used to recognize the intruder. In addition, FSAS also can be used for monitoring of induction motor by utilizing a similar arrangement of sensors. The sensor signal is transmitted to the cloud whenever the intruder is within the sensing range of the sensor node. Naive Bayes’ prediction model is used to identify the level of encroachment as no (green), mild (yellow), or high (red) threat. The status and the alarms can be received by the farm owners, either on their smartphones as application alerts or as a short message/phone call, at any distance, and independent of whether their cell phones are connected to the Internet.

show abstract

“…The world health organization (WHO)refers to indoor air pollution as being the biggest environmental health risk that has been linked with many adverse maternal and neonatal outcomes. Indoor air quality (IAQ) is an indicator for assessing air quality by evaluating the concentrations of pollutants in the indoor environment that directly affect air quality like NO2, HCHO, O3, CO, CO2, PM2.5 and volatile organic compoundsemitted from different sources such as paint, furniture, office equipment, trash, exhaled breath and/or sweating [5]. Numerous illnesses such as necrotizing enterocolitis (NEC), bronchopulmonary dysplasia (BPD) and late-onset newborn sepsis have been examined using fecal VOCs as biomarkers (LONS) [6].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Ambient Air Quality in Neonatal Incubators at Selected Sites of Baghdad Hospitals

Al Obaidi,

Al Easawi

2023

Iraqi Journal of Science

View full text Add to dashboard Cite

An infant incubator in the neonatal intensive care unit (NICU) is a medical instrument of care that provides oxygen, warmth and moisture to a newborn baby. Due to environmental conditions affecting the infants foster babies may experience discomfort and pain at some point. Thus, this study aimed to assess ambient air quality in neonatal incubators to improve the environmental quality of neonatal intensive care units and safety. Air pollutants concentrations consisting of particulate matter (pm2.5, pm10), hydrocarbons (HOCH), volatile organic compounds (VOC), air quality index (AQI), humidity and temperature, were measured at four selected Baghdad hospitals (Al-Karkh and Rusafa) . The results showed that the increase in relative humidity (RH%) measured in all baby incubators and in all locations during the summer and winter seasons contributed to an increase in polluting gases emission inside the incubators, which was the highest measurement that gave significant difference for the incubator.The highest recorded measurement with significant difference for pm2.5 was 73.78 ± 0.096 in site2 in winter, pm10 was 106.73 ± 0.05 in site1 in winter, HCHO was 0.148 ± 0.005 in site3 in winter, VOC was 673 ± 0.005mg/m3 in site2 in winter, AQIwas 177.25 ± 0.5 in site2 in winter, RH% was 53.887 in the site3 during the winter and temperature was 32.25°C in site3 in summer. It can be concluded that there is a relationship between relative humidity and temperature that affectedthe gases concentrations as it showed variations in gases and particle matters concentrations which affected the air quality inside the neonatal incubatorsthat in turn affected the health of the neonates, especially increased severity of asthma attacks and low Intelligence quotient (IQ) in children in the future.

show abstract

AQCI: An IoT Based Air Quality and Thermal Comfort Model using Fuzzy Inference

Cited by 12 publications

References 17 publications

Filling the Health Gap in Energy Performance Certificates to Reduce Pulmonary Diseases Due to Bad Indoor Air Quality

Filling the Health Gap in Energy Performance Certificates to Reduce Pulmonary Diseases Due to Bad Indoor Air Quality

FSAS: An IoT-Based Security System for Crop Field Storage

Assessment of Ambient Air Quality in Neonatal Incubators at Selected Sites of Baghdad Hospitals

Contact Info

Product

Resources

About