Article
Computer Science, Information Systems
Zhibin Liu, Guangwen Wang, Liang Zhao, Guangfei Yang
Summary: The study developed and tested an indoor air quality detector capable of measuring CO2, PM2.5, temperature, and humidity in residential environments. Seven detectors were deployed in a building, revealing significantly increased PM2.5 concentrations during cooking and elevated CO2 levels when doors were closed at night.
Article
Computer Science, Hardware & Architecture
Mohamed Saifeddine Hadj Sassi, Lamia Chaari Fourati
Summary: This paper explores emerging technologies related to indoor and outdoor air quality monitoring systems, focusing on communication protocols, networking systems, sensors, architectures, and technologies. A cognitive IoT architecture for air quality monitoring systems is proposed, and technical challenges and research issues are discussed.
Review
Environmental Sciences
Jagriti Saini, Maitreyee Dutta, Goncalo Marques
Summary: The increasing global population has led to rising levels of air pollution, impacting both outdoor and indoor air quality and ultimately affecting the health of individuals. Companies are developing low-cost sensors to monitor indoor air pollution, but selecting suitable sensors remains a challenge due to the close association of air pollution with mortality and morbidity rates.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Energy & Fuels
C. Bambang Dwi Kuncoro, Arvanida Feizal Permana, Moch Bilal Zaenal Asyikin, Cornelia Adristi
Summary: This paper presents a smart wireless climate sensor node for indoor temperature and humidity monitoring. The node has a low-power and compact design, and the data is sent to the cloud for monitoring and analysis using Internet of Things protocol.
Article
Computer Science, Information Systems
Julio H. Buelvas, Danny Munera, Natalia Gaviria
Summary: Air quality monitoring traditionally relies on expensive specialized systems, but optical sensors provide a lower-cost alternative. However, there are concerns about the quality of data from these systems.
INTERNET OF THINGS
(2023)
Article
Environmental Studies
Naser Hossein Motlagh, Martha A. Zaidan, Pak L. Fung, Eemil Lagerspetz, Kasimir Aula, Samu Varjonen, Matti Siekkinen, Andrew Rebeiro-Hargrave, Tuukka Petaja, Yutaka Matsumi, Markku Kulmala, Tareq Hussein, Petteri Nurmi, Sasu Tarkoma
Summary: Low-cost sensors can accurately capture the overall exposure of commuters and provide insights into variations within transport modalities. They can also capture subtle variations caused by factors such as different routes, passenger density, and location within a carriage.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Computer Science, Information Systems
Krati Rastogi, Divya Lohani, Debopam Acharya
Summary: This article discusses the challenge of maintaining good indoor air quality as humans spend more time indoors, and introduces an IoT-based system for real-time data collection and prediction of indoor air quality, which provides alerts and recommendations to users. The system is able to accurately identify poor ventilation states.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Environmental Sciences
Xilei Dai, Wenzhe Shang, Junjie Liu, Min Xue, Congcong Wang
Summary: This study provides a comprehensive review of the development and application of IoT-based indoor air quality (IAQ) monitoring platforms in different built environments. The findings suggest that these platforms can provide reliable IAQ monitoring information. It is recommended to replace sensors every 4-6 months for quality control. Integrating data-driven technology into the platform is crucial for IAQ prediction and efficient control of ventilation systems.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
P. Asha, L. Natrayan, B. T. Geetha, J. Rene Beulah, R. Sumathy, G. Varalakshmi, S. Neelakandan
Summary: In the past decades, rapid industrial and technological development has led to unsustainable utilization of non-renewable resources, prompting significant attention to the impact of toxic chemicals on human health in the environmental toxicology field. As a result, there is a need for an automated air pollution monitoring system to improve human health.
ENVIRONMENTAL RESEARCH
(2022)
Article
Chemistry, Analytical
Nikolaos Peladarinos, Vasileios Cheimaras, Dimitrios Piromalis, Konstantinos G. Arvanitis, Panagiotis Papageorgas, Nikolaos Monios, Ioannis Dogas, Milos Stojmenovic, Georgios Tsaramirsis
Summary: The COVID-19 pandemic has caused significant impact in many regions, with risk factors including indoor air pollution. Scientific research has linked particulate matter concentrations with COVID-19 infection risk. Internet of Things technology enables real-time monitoring of indoor air quality, with the development of an open-source platform architecture and LoRa sensor network for PM measurement.
Article
Computer Science, Information Systems
Gleiston Guerrero-Ulloa, Alex Andrango-Catota, Martin Abad-Alay, Miguel J. Hornos, Carlos Rodriguez-Dominguez
Summary: This paper presents IdeAir, a low-cost IoT-based air quality monitoring system that aims to reduce the drawbacks of existing indoor pollution monitoring systems. IdeAir is designed to capture and determine the concentrations of harmful gases in indoor environments and issue alarms and notifications, turn on the fan, and/or open the door based on their concentration levels. Preliminary results show a high level of acceptance by potential users.
Article
Chemistry, Analytical
Amer Hawchar, Solomon Ould, Nick S. S. Bennett
Summary: Maintaining high indoor air quality is crucial for human health, and craft breweries can contribute to poor IAQ due to venting of CO2 during fermentation and storage processes. Monitoring CO2 levels using IoT sensor nodes in a craft brewery revealed significant increases in indoor CO2 levels. The study suggests the need for a network of portable or wearable CO2 sensor nodes for adequate IAQ monitoring.
Article
Environmental Sciences
Chen-Jui Liang, Pei-Rong Yu
Summary: The study evaluated the performance of two low-cost PM2.5 sensor systems established by the government and community in Taiwan using interpolation data from air quality monitoring stations. Results showed that the government system had higher linearity while the community system had higher sensitivity. A proposed improvement platform involving monitoring operation and automatic correction loops was suggested to enhance the sensor systems' performance.
Article
Chemistry, Analytical
Claudio De Capua, Gaetano Fulco, Mariacarla Lugara, Filippo Ruffa
Summary: Air quality has a significant impact on comfort and health in different environments. Poor air quality and ventilation in buildings can lead to physical and psychological discomfort, respiratory diseases, and central nervous system issues. With increased time spent indoors and the transmission of respiratory diseases through close contact and contaminated surfaces, it becomes crucial to monitor and control environmental conditions. This paper proposes an innovative approach to indoor monitoring systems, aiming to improve occupant well-being by considering pollutant concentration and exposure time, and using decision-making algorithms to account for measurement uncertainty. This approach allows for better control of potentially harmful conditions and strikes a balance between well-being and energy efficiency objectives.
Article
Computer Science, Information Systems
Agustin Zuniga, Naser Hossein Motlagh, Huber Flores, Petteri Nurmi
Summary: This article introduces the idea of using smart plants as a solution for monitoring indoor environments. By integrating sensors into plants, they can serve as an alternative technology for monitoring and improving indoor spaces. A research roadmap is established for the use of smart plants in monitoring indoor environments.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Environmental Sciences
Jagriti Saini, Maitreyee Dutta, Goncalo Marques
Summary: The increasing global population has led to rising levels of air pollution, impacting both outdoor and indoor air quality and ultimately affecting the health of individuals. Companies are developing low-cost sensors to monitor indoor air pollution, but selecting suitable sensors remains a challenge due to the close association of air pollution with mortality and morbidity rates.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Biotechnology & Applied Microbiology
Amit Doegar, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa, Maitreyee Dutta
Summary: Cloud computing has played a crucial role in fields such as medical imaging and bioinformatics, raising concerns about privacy and image tampering. To efficiently detect image tampering, a sufficient number of features are required, which can be achieved through deep learning architecture-based models.
BIOMED RESEARCH INTERNATIONAL
(2021)
Review
Health Care Sciences & Services
Goncalo Marques, Rodrigo Santos Gil, Manuel Franco-Martin, Isabel de la Torre
Summary: This paper presents a comprehensive analysis of mobile applications aimed at addressing the critical needs of people with mental problems. The study identified 24 different needs for patients with mental disorders and analyzed 62 mobile applications that can meet these needs. Mobile health applications can effectively support the needs of patients with mental disorders, but future research should focus on developing independent applications.
INFORMATICS FOR HEALTH & SOCIAL CARE
(2022)
Article
Chemistry, Analytical
Jagriti Saini, Maitreyee Dutta, Goncalo Marques
Summary: Air quality has a significant impact on public health and wellbeing. This study assesses indoor air quality in a rural area of India using an Internet of Things-based sensor system. A model is proposed to predict pollutant concentrations, achieving good prediction performance.
Article
Computer Science, Artificial Intelligence
Jagriti Saini, Maitreyee Dutta, Goncalo Marques
Summary: Indoor air quality is crucial for occupant comfort, health, and well-being. This study proposes a novel method using a fuzzy inference system optimized with particle swarm optimization and genetic algorithm for PM10 concentration forecasting. The optimized model shows promising results and can be utilized for real-time indoor air quality prediction systems.
Article
Chemistry, Analytical
Susel Gongora Alonso, Goncalo Marques, Deevyankar Agarwal, Isabel De la Torre Diez, Manuel Franco-Martin
Summary: New computational methods have been developed to support the diagnosis of mental health disorders. This research compares the performance of different machine learning algorithms in predicting hospitalized patients with schizophrenia and finds that Random Forest algorithm has the highest accuracy and can help reduce hospitalization costs.
Article
Health Care Sciences & Services
Nidal Drissi, Sofia Ouhbi, Mohamed Adel Serhani, Goncalo Marques, Isabel de la Torre Diez
Summary: This study presents a synthesis of global attitudes toward connected mental health (CMH) use and the use of technology in mental care. It found that the investigated cohorts generally had positive attitudes towards CMH use and had high levels of technology use and ownership. Preferred criteria for CMH use were identified, and concerns related to technology access, digital divide, and lack of knowledge and reservations towards CMH were addressed.
TELEMEDICINE AND E-HEALTH
(2023)
Review
Computer Science, Artificial Intelligence
Dulani Meedeniya, Hashara Kumarasinghe, Shammi Kolonne, Chamodi Fernando, Isabel De la Torre Diez, Goncalo Marques
Summary: The use of deep learning techniques in analyzing chest X-ray images shows promising potential in medical image classification and prediction tasks. This systematic review provides a comprehensive analysis of related studies and outlines future research directions and challenges in this domain.
APPLIED SOFT COMPUTING
(2022)
Review
Chemistry, Analytical
Analucia Morales, Maria Barbosa, Laura Moras, Silvio Cesar Cazella, Livia F. Sgobbi, Iwens Sene, Goncalo Marques
Summary: This article systematically reviews scientific publications on wrist wearables for identifying stress levels, highlighting the use of technologies like heart rate variability and cortisol analysis as main biomarkers. Stress assessments still rely on standardized questionnaires, but developing a wrist wearable for stress identification using physiological and chemical sensors is challenging yet possible.
Article
Computer Science, Information Systems
Jagriti Saini, Maitreyee Dutta, Goncalo Marques
Summary: Indoor air pollution has a significant impact on human health and productivity levels. This paper proposes a reliable system for assessing indoor air quality using an Internet of Things-based sensor network. Additionally, a forecasting model for predicting PM2.5 conditions is designed. The system's performance is tested using multiple datasets and validated against benchmark datasets.
INTERNET OF THINGS
(2022)
