The Experts below are selected from a list of 13842 Experts worldwide ranked by ideXlab platform
Fernando And Álvarez - One of the best experts on this subject based on the ideXlab platform.
-
Wireless Sensor Network For Indoor Air Quality Monitoring
Chemical Engineering, 2012Co-Authors: Jesus Lozano, Patricia Arroyo, José Manuel Ordiales, Jose I. Suarez, Fernando And ÁlvarezAbstract:A home-made and home-developed sensor network was proposed and developed in this paper for indoor Air Quality Monitoring. The network consists of a base station connected to internet and several autonomous nodes equipped with different sensors to measure temperature, humidity, light and Air Quality. A specific program made with Labview is created to configure and supervise the operation and the measurements of the network. The communication between nodes and host is based on the standard IEEE 802.15.4 (Zig-Bee protocol) using the XBee module of Maxstream and the communication between host and PC is performed through an USB interface.
Joe-air Jiang - One of the best experts on this subject based on the ideXlab platform.
-
SOCA - A self sustainable Air Quality Monitoring system using WSN
2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2012Co-Authors: Chien-hao Wang, Yu-kai Huang, Xiang-yao Zheng, Cheng-long Chuang, Joe-air JiangAbstract:In recent years, urban Air Quality Monitoring is increasingly important. To monitor Air Quality in urban areas, wireless sensor networks (WSNs) might be a great tool, because they can automatically collect Air-Quality data. WSNs are able to provide data with spatiotemporal continuity, so researchers can analyze the data in detail. This paper proposes a self-sustainable Air Quality Monitoring system based on the WSN technology to collect Air Quality parameters in an urban area. The proposed system uses carbon monoxide (CO) and particulate matter (PM) sensors to monitor CO and PM, and the readings from the two sensors are viewed as Air Quality indices. The proposed system combines a solar cell and a lead-acid battery as its power supply devices, so the system has the long-tern Monitoring capability.
-
A self sustainable Air Quality Monitoring system using WSN
2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2012Co-Authors: Chien-hao Wang, Yu-kai Huang, Xiang-yao Zheng, Cheng-long Chuang, Joe-air JiangAbstract:In recent years, urban Air Quality Monitoring is increasingly important. To monitor Air Quality in urban areas, wireless sensor networks (WSNs) might be a great tool, because they can automatically collect Air-Quality data. WSNs are able to provide data with spatiotemporal continuity, so researchers can analyze the data in detail. This paper proposes a self-sustainable Air Quality Monitoring system based on the WSN technology to collect Air Quality parameters in an urban area. The proposed system uses carbon monoxide (CO) and particulate matter (PM) sensors to monitor CO and PM, and the readings from the two sensors are viewed as Air Quality indices. The proposed system combines a solar cell and a lead-acid battery as its power supply devices, so the system has the long-tern Monitoring capability.
-
Developed urban Air Quality Monitoring system based on wireless sensor networks
2011 Fifth International Conference on Sensing Technology, 2011Co-Authors: Yu-fan Chen, Jehn-yih Juang, Joe-air JiangAbstract:Air pollution is one of environmental issues that have been often discussed. The fast-growing population and urbanization result in the population concentrated in certain areas. Heavy transportation may lead to poor Air Quality, and inhaling pollutants for a long time also causes damages in human health. A traditional Air Quality Monitoring method is to build Air Quality Monitoring stations, but this method is expensive and provides low resolution sensing data. In addition, Monitoring stations are generally less densely deployed. This paper proposed an urban Air Quality Monitoring system based on the wireless sensor network (WSN) technology and integrated with the global system for mobile communications. The system consists of sensor node, a gateway, and a back-end platform controlled by the LabVIEW program through which sensing data can be stored in a database. This system is deployed to the main roads in the Taipei city to monitor the carbon monoxide (CO) concentration caused by vehicle emissions. The experimental results show that the proposed system can provide micro-scale Air Quality Monitoring in real-time through the WSN technology.
Jesus Lozano - One of the best experts on this subject based on the ideXlab platform.
-
Wireless Sensor Network For Indoor Air Quality Monitoring
Chemical Engineering, 2012Co-Authors: Jesus Lozano, Patricia Arroyo, José Manuel Ordiales, Jose I. Suarez, Fernando And ÁlvarezAbstract:A home-made and home-developed sensor network was proposed and developed in this paper for indoor Air Quality Monitoring. The network consists of a base station connected to internet and several autonomous nodes equipped with different sensors to measure temperature, humidity, light and Air Quality. A specific program made with Labview is created to configure and supervise the operation and the measurements of the network. The communication between nodes and host is based on the standard IEEE 802.15.4 (Zig-Bee protocol) using the XBee module of Maxstream and the communication between host and PC is performed through an USB interface.
Chiahsing Chen - One of the best experts on this subject based on the ideXlab platform.
-
development of a multiple objective planning theory and system for sustainable Air Quality Monitoring networks
Science of The Total Environment, 2006Co-Authors: Chingho Chen, Chiahsing ChenAbstract:Air Quality Monitoring data are important bases for Air Quality management strategies planning and performance assessment. Therefore, the environmental protection authorities need to plan the Air Quality Monitoring network effectively. However, in Taiwan, the national Environmental Protection Administration (EPA) and some county environmental protection bureaus (EPB) separately installed their own Monitoring stations. This study developed an integrated methodology and computer system for planning Air Quality Monitoring networks. The environmental, social, and economic objectives and sub-objectives, and their weights were identified using system analysis and multiple objective planning, based on the principles of sustainable development. A multiple objective optimization model and procedure for sustainable Air Quality Monitoring networks planning are developed in this study. According to the procedure, a multiple objective planning system for sustainable Air Quality Monitoring networks (MOPSSAQMN) is developed using computer software based on the modified bounded implicit enumeration algorithm with the constraint arrangement method. The Air Quality Monitoring network of Taoyuan County, in northern Taiwan, was used as a case study to demonstrate the proposed method. Two satisfactory alternatives based on different conditions were generated using MOPSSAQMN. The compared results show that this study generated better alternatives than the current Monitoring network. An installation schedule for the alternative was proposed, and its first step is now being implemented by the EPB of Taoyuan County Government. The procedure and computer system developed in this study can be used to assist the competent authorities to devise good and different alternatives for Air Quality Monitoring networks planning.
Victoria Beltran - One of the best experts on this subject based on the ideXlab platform.
-
CCNC - AirQ: A Smart IoT Platform for Air Quality Monitoring
2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), 2020Co-Authors: Vishal Choudhary, Victoria BeltranAbstract:Urban Air pollution is a major problem in many cities globally. Prolonged exposure to particulate matter in the Air is harmful to health. Government agencies and industries use expensive EPA-rated Air Quality Monitoring Systems (AQMS) with specialized and expensive instruments. However, the Air Quality data provided by agencies is based on delayed averages and is region-based. The AirQ platform is a smart and cost-effective solution for Air Quality Monitoring. The AirQ device is portable, low-cost and provides real-time and location-specific Air Quality data. It supports wireless data communication technologies including WiFi, 4G, Bluetooth, LoRa, etc. We have developed an ontology-based backend to support data management and the implementation of smart data analytics algorithms. The real-time Air Quality data and alerts are provided by the AirQ Dashboard and Smartphone App. The AirQ platform can be used to build large-scale and high-density Air Quality Monitoring networks for Smart Cities, with devices deployed at many locations such as schools, childcare centers, hospitals, community centers, bus stops, parks, etc.
-
AirQ: A Smart IoT Platform for Air Quality Monitoring
2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), 2020Co-Authors: Vishal Choudhary, Victoria BeltranAbstract:Urban Air pollution is a major problem in many cities globally. Prolonged exposure to particulate matter in the Air is harmful to health. Government agencies and industries use expensive EPA-rated Air Quality Monitoring Systems (AQMS) with specialized and expensive instruments. However, the Air Quality data provided by agencies is based on delayed averages and is region-based. The AirQ platform is a smart and cost-effective solution for Air Quality Monitoring. The AirQ device is portable, low-cost and provides real-time and location-specific Air Quality data. It supports wireless data communication technologies including WiFi, 4G, Bluetooth, LoRa, etc. We have developed an ontology-based backend to support data management and the implementation of smart data analytics algorithms. The real-time Air Quality data and alerts are provided by the AirQ Dashboard and Smartphone App. The AirQ platform can be used to build large-scale and high-density Air Quality Monitoring networks for Smart Cities, with devices deployed at many locations such as schools, childcare centers, hospitals, community centers, bus stops, parks, etc.
