Internet of Things Sensor Data Analysis for Enhanced Living Environments: A Literature Review and a Case Study Results on Air Quality Sensing

2020 ◽  
pp. 397-414
Author(s):  
Gonçalo Marques
Keyword(s):  
Data Analysis ◽  
Air Quality ◽  
Internet Of Things ◽  
Literature Review ◽  
Sensor Data ◽  
Study Results ◽  
Living Environments

scholarly journals Examining Distance Learners in Hybrid Synchronous Instruction: Successes and Challenges

2017 ◽  
Vol 21 (4) ◽  
Author(s):  
Enilda Romero-Hall ◽  
Cristiane Rocha Vicentini
Keyword(s):  
Data Analysis ◽  
Focus Group ◽  
The Other ◽  
Distance Learners ◽  
Electronic Journals ◽  
Face To Face ◽  
Individual Interviews ◽  
Study Results ◽  
Successes And Challenges

This paper reports on a case study investigating distance learners participating in graduate-level hybrid synchronous instruction. This research helps inform the design of hybrid synchronous instruction in which face-to-face and distance learners engage in class sessions. Data were collected using electronic journals, individual interviews, and a focus group. The results of the data analysis provide evidence that in this case, hybrid synchronous instruction improved the study habits of distance learners. On the other hand, the case study results also revealed that there are challenging pedogogical aspects which the distance learners had to overcome during hybrid synchronous instruction. Among such challenges were the interactions, relationships, and communication exchanges between distance learners, their face-to-face counterparts, and the instructor.

scholarly journals A Multiscale Tiered Approach to Quantify Contributions: A Case Study of PM2.5 in South Korea During 2010–2017

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 141 ◽  
Author(s):  
Minah Bae ◽  
Byeong-Uk Kim ◽  
Hyun Cheol Kim ◽  
Soontae Kim
Keyword(s):  
Air Quality ◽  
South Korea ◽  
Sparse Matrix ◽  
Action Plan ◽  
Weather Research And Forecasting ◽  
Study Results ◽  
Simulation Based ◽  
Operator Kernel

We estimated long-term foreign contributions to the particulate matter of 2.5 μm or less in diameter (PM2.5) concentrations in South Korea with a set of air quality simulations. The Weather Research and Forecasting (WRF)-Sparse Matrix Operator Kernel Emissions (SMOKE)-Community Multiscale Air Quality (CMAQ) modeling system was used to simulate the base and sensitivity case after a 50% reduction of foreign emissions. The effects of horizontal modeling grid resolutions (27- and 9-km) was also investigated. For this study, we chose PM2.5 in South Korea during 2010–2017 for the case study and emissions from China as a representative foreign source. The 9-km simulation results show that the 8-year average contribution of the Chinese emissions in 17 provinces ranged from 40–65%, which is ~4% lower than that from the 27-km simulation for the high-tier government segments (particularly prominent in coastal areas). However, for the same comparison for low-tier government segments (i.e., 250 prefectures), the 9-km simulation presented lowered the foreign contribution by up to 10% compared to that from the 27-km simulation. Based on our study results, we recommend using high-resolution modeling results for regional contribution analyses to develop an air quality action plan as the receptor coverage decreases.

scholarly journals Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 720 ◽  
Author(s):  
Gonçalo Marques ◽  
Nuno Miranda ◽  
Akash Kumar Bhoi ◽  
Begonya Garcia-Zapirain ◽  
Sofiane Hamrioui ◽  
...  
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Mobile Computing ◽  
Real Time ◽  
Smart Cities ◽  
Cost Effective ◽  
Well Being ◽  
World Health ◽  
Computing Technologies ◽  
Living Environments

This paper presents a real-time air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and well-being. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality on public health and defined standards and policies to regulate and improve air quality. However, there is a significant need for cost-effective methods to monitor and control air quality which provide modularity, scalability, portability, easy installation and configuration features, and mobile computing technologies integration. The proposed method allows the measuring and mapping of air quality levels considering the spatial-temporal information. This system incorporates a cyber-physical system for data collection and mobile computing software for data consulting. Moreover, this method provides a cost-effective and efficient solution for air quality supervision and can be installed in vehicles to monitor air quality while travelling. The results obtained confirm the implementation of the system and present a relevant contribution to enhanced living environments in smart cities. This supervision solution provides real-time identification of unhealthy behaviours and supports the planning of possible interventions to increase air quality.

scholarly journals The Use of the Internet of Things for Estimating Personal Pollution Exposure

2019 ◽  
Vol 16 (17) ◽  
pp. 3130 ◽  
Author(s):  
Keith April G. Arano ◽  
Shengjing Sun ◽  
Joaquin Ordieres-Mere ◽  
and Bing Gong
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Internet Of Things ◽  
Policy Development ◽  
Prediction Models ◽  
Low Cost ◽  
Activity Patterns ◽  
Dynamic Feedback ◽  
Pollution Exposure

This paper proposes a framework for an Air Quality Decision Support System (AQDSS), and as a proof of concept, develops an Internet of Things (IoT) application based on this framework. This application was assessed by means of a case study in the City of Madrid. We employed different sensors and combined outdoor and indoor data with spatiotemporal activity patterns to estimate the Personal Air Pollution Exposure (PAPE) of an individual. This pilot case study presents evidence that PAPE can be estimated by employing indoor air quality monitors and e-beacon technology that have not previously been used in similar studies and have the advantages of being low-cost and unobtrusive to the individual. In future work, our IoT application can be extended to include prediction models, enabling dynamic feedback about PAPE risks. Furthermore, PAPE data from this type of application could be useful for air quality policy development as well as in epidemiological studies that explore the effects of air pollution on certain diseases.

scholarly journals Internet of Things for Smart Spaces: A University Campus Case Study

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3716
Author(s):  
Ekaterina Gilman ◽  
Satu Tamminen ◽  
Rumana Yasmin ◽  
Eemeli Ristimella ◽  
Ella Peltonen ◽  
...  
Keyword(s):  
Data Analysis ◽  
Internet Of Things ◽  
User Interfaces ◽  
Real World ◽  
Lessons Learned ◽  
University Campus ◽  
Smart Space ◽  
Smart Spaces

Advances in technology and data analysis provide rich opportunities for developing intelligent environments assisting their inhabitants, so-called smart environments or smart spaces. Enhanced with technology, sensors, user interfaces, and various applications, such smart spaces are capable of recognizing users and situations they are in, react accordingly, e.g., by providing certain services or changes to the environment itself. Therefore, smart space solutions are gradually coming to different application domains, each with corresponding specific characteristics. In this article, we discuss our experiences and explore the challenges of a long-term real-world Internet of Things (IoT) deployment at a University campus. We demonstrate the technical implementation and data quality issues. We conduct several studies, from data analysis to interaction with space, utilizing the developed infrastructure, and we also share our actions to open the data for education purposes and discuss their outcomes. With this article, we aim to share our experience and provide real-world lessons learned when building an open, multipurpose, publicly used smart space at a University campus.

Citizen Science, Air Quality, and the Internet of Things

2017 ◽  
pp. 137-160 ◽  
Author(s):  
Ilze Black ◽  
Graham White
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Citizen Science ◽  
Quality Measurement ◽  
The Internet ◽  
Health Issues ◽  
Collective Sensing ◽  
The Internet Of Things ◽  
Science Initiative

This chapter discusses the emergence of the Internet of Things, using a case study of a citizen science initiative, focusing in particular on issues involved in measuring air quality. The core of the citizen science initiative was formed by a world-wide network of early adaptors of the Internet of Things who, motivated by public health issues, set out to create widely available tools for air quality measuring. With these tools, they established a global, citizen-led, air quality measurement network. Besides highlighting a number of social and technological issues which are involve any such enterprise, this chapter engages with the discourse surrounding the use of IoT in collective sensing projects. Two questions are salient here. Firstly, can IoT technology be used in a citizen science context to monitor air quality? And secondly, does the construction of these devices lead to a successful mobilisation around issues of air quality?

Metode Sorogan Dalam Pembelajaran Membaca Al-Qur’an di Pondok Pesantren

2020 ◽  
Vol 19 (2) ◽  
pp. 164-181
Author(s):  
Chaerul Anwar
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Qualitative Analysis ◽  
Education System ◽  
Boarding School ◽  
Islamic Education ◽  
Learning To Read

This study aims to analyze the effectiveness of reading the Qur'an using the sorogan method at the Al-Falah Lulut Islamic Boarding School, Bogor. The method used is a deductive qualitative analysis research, with a case study at the Al-Falah Lulut Islamic Boarding School. Data collection is done by conducting interviews, observations, documentation, and literature review. The data analysis used is qualitative analysis. The results of the study show: The results of learning to read the Qur'an using the sorogan method for categories level one, two, and three are quite effective, in the processEven the children like learning, but the application of the sorogan method is largely determined by the abilities and skills of the tutor, because the sorogan system in teaching is the most difficult system of the entire Islamic education system.

scholarly journals Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1375 ◽  
Author(s):  
Gonçalo Marques ◽  
Ivan Miguel Pires ◽  
Nuno Miranda ◽  
Rui Pitarma
Keyword(s):  
Social Networks ◽  
Air Quality ◽  
Internet Of Things ◽  
Indoor Air ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Assistive Robot ◽  
Living Environments

This paper presents iAirBot, an assistive robot for indoor air quality monitoring based on Internet of Things. The system can communicate with occupants and triggers alerts automatically using social networks. The information can be accessed by the caregiver to plan interventions for enhanced living environments in a timely manner. The results are promising, as the proposed architecture presents a cost-effective assistive robot for indoor quality monitoring. It connects several technological fields and knowledge areas, such as ambient assisted living, Internet of Things, wireless sensor networks, social networks, and indoor air quality. When compared to other systems, iAirBot stands out for the modularity and scalability of its sensors network, as well as the use of social networks for information sharing. Therefore, iAirBot is a significant system for enhanced living environments, occupational health, and well-being.

Research and Application of SVG in the Feeder Data Analysis System Based on Ajax

2014 ◽  
Vol 1044-1045 ◽  
pp. 1441-1445
Author(s):  
Hai Yan Zheng ◽  
Rui Li Zhang ◽  
Wan Chun Gao
Keyword(s):  
Data Analysis ◽  
Creative Thinking ◽  
High Efficiency ◽  
Auxiliary Equipment ◽  
Key Technology ◽  
Study Results ◽  
Analysis System ◽  
Data Analysis System ◽  
Data Requirements

It researched key technology based on ajax of svg in feeder data analysis system, for the requirement of complicated circuit quick analysis and high efficiency in aviation arming ensure domain, combined with S1000D specification for interactive electronic technical manuals and data requirements of creative thinking, proposed feeder S1000D data modules and svg technology dynamic publishing model,and the application of research results, case study results show that: The design can be automatically and quickly analyze circuit through the auxiliary equipment, leads the list of inter-path, achieve troubleshooting.

Data-driven thinking for measuring the human experience in the built environment

2021 ◽  
pp. 147807712110251
Author(s):  
Bige Tunçer ◽  
Francisco Benita
Keyword(s):  
Data Analysis ◽  
Built Environment ◽  
Urban Design ◽  
Learning Experience ◽  
Landscape Design ◽  
Data Driven ◽  
Sensor Data ◽  
Experimental Setup ◽  
Collection Data

This article introduces a methodology to implement Data-driven Thinking in the context of urban design. We present the results of a case study based on a 7-day workshop with 10 participants with landscape design and architecture background. The goal of the workshop was to expose participants to Data-driven Thinking through experimental design, multi-sensor data collection, data analysis, visualization, and insight generation. We evaluate their learning experience in designing an experimental setup, collecting real-time immediate environmental and physiological body reactions data. Our results from the workshop show that participants increased their knowledge about measuring, visualizing and understanding data of the surrounding built environment.

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