Evaluation index system of green public open space based on internet of things and mental health
With the emergence of the IoT era, wireless sensor networks will be more and more widely used. In addition to collecting, transmitting and processing simple data such as humidity, temperature and density of the dome, they can also provide multimedia information services such as video and images. It...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MIT Press
2023
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/107765/ http://psasir.upm.edu.my/id/eprint/107765/1/dint_a_00219.pdf |
| _version_ | 1848864984084250624 |
|---|---|
| author | Li, Jiexu Abdul Aziz, Faziawati Zhang, Ning |
| author_facet | Li, Jiexu Abdul Aziz, Faziawati Zhang, Ning |
| author_sort | Li, Jiexu |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | With the emergence of the IoT era, wireless sensor networks will be more and more widely used. In addition to collecting, transmitting and processing simple data such as humidity, temperature and density of the dome, they can also provide multimedia information services such as video and images. It enables more comprehensive and accurate environmental monitoring. Therefore, MSDs have a huge demand in military, daily, forestry, biomedicine and other fields. The intensive city model has obvious advantages in meeting people's diverse needs and comfortable life. Most obviously, it speeds up the rhythm of life for residents, thereby increasing efficiency and saving time. Starting from this aspect, this paper conducts a research on the evaluation index system of public built on the following areas of open space IoT and mental health. In this paper, the GRNN neural network model is constructed, the mean condition is calculated, the density function can be estimated, the network output, and the schematic diagram of the generalized regression neural network is improved. Using the established system, the index in 2018 is selected as the base year, and after transformation, the standardized values of the past years are formed, which are substituted into the cells to form different matrices. The value of each cell is counted to obtain the subsystem coordination degree, and the global coordination degree is obtained through calculation. The evaluation results of ecological civilization construction and development in 2018 and 2019, 2020 and 2021 were compared. The experimental data shows that compared with 2018, economic development will change from 1 to 2.000, social harmony will change from 1 to 2.480, ecological health will decrease to 0.850, environmental friendliness will decrease to 0.750, and comprehensive evaluation will decrease to 0.513. This shows that while the economy is developing this year, the construction of ecological civilization has been gradually carried out, and good results have been achieved. This reflects the effectiveness of the system. The subject of the evaluation index system of green public open space based on the Internet of Things and mental health has been well completed. |
| first_indexed | 2025-11-15T13:57:29Z |
| format | Article |
| id | upm-107765 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T13:57:29Z |
| publishDate | 2023 |
| publisher | MIT Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1077652024-07-15T02:33:07Z http://psasir.upm.edu.my/id/eprint/107765/ Evaluation index system of green public open space based on internet of things and mental health Li, Jiexu Abdul Aziz, Faziawati Zhang, Ning With the emergence of the IoT era, wireless sensor networks will be more and more widely used. In addition to collecting, transmitting and processing simple data such as humidity, temperature and density of the dome, they can also provide multimedia information services such as video and images. It enables more comprehensive and accurate environmental monitoring. Therefore, MSDs have a huge demand in military, daily, forestry, biomedicine and other fields. The intensive city model has obvious advantages in meeting people's diverse needs and comfortable life. Most obviously, it speeds up the rhythm of life for residents, thereby increasing efficiency and saving time. Starting from this aspect, this paper conducts a research on the evaluation index system of public built on the following areas of open space IoT and mental health. In this paper, the GRNN neural network model is constructed, the mean condition is calculated, the density function can be estimated, the network output, and the schematic diagram of the generalized regression neural network is improved. Using the established system, the index in 2018 is selected as the base year, and after transformation, the standardized values of the past years are formed, which are substituted into the cells to form different matrices. The value of each cell is counted to obtain the subsystem coordination degree, and the global coordination degree is obtained through calculation. The evaluation results of ecological civilization construction and development in 2018 and 2019, 2020 and 2021 were compared. The experimental data shows that compared with 2018, economic development will change from 1 to 2.000, social harmony will change from 1 to 2.480, ecological health will decrease to 0.850, environmental friendliness will decrease to 0.750, and comprehensive evaluation will decrease to 0.513. This shows that while the economy is developing this year, the construction of ecological civilization has been gradually carried out, and good results have been achieved. This reflects the effectiveness of the system. The subject of the evaluation index system of green public open space based on the Internet of Things and mental health has been well completed. MIT Press 2023-11 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/107765/1/dint_a_00219.pdf Li, Jiexu and Abdul Aziz, Faziawati and Zhang, Ning (2023) Evaluation index system of green public open space based on internet of things and mental health. Data Intelligence, 5 (4). pp. 990-1007. ISSN 2641-435X https://direct.mit.edu/dint/article/5/4/990/117895/Evaluation-Index-System-of-Green-Public-Open-Space 10.1162/dint_a_00219 |
| spellingShingle | Li, Jiexu Abdul Aziz, Faziawati Zhang, Ning Evaluation index system of green public open space based on internet of things and mental health |
| title | Evaluation index system of green public open space based on internet of things and mental health |
| title_full | Evaluation index system of green public open space based on internet of things and mental health |
| title_fullStr | Evaluation index system of green public open space based on internet of things and mental health |
| title_full_unstemmed | Evaluation index system of green public open space based on internet of things and mental health |
| title_short | Evaluation index system of green public open space based on internet of things and mental health |
| title_sort | evaluation index system of green public open space based on internet of things and mental health |
| url | http://psasir.upm.edu.my/id/eprint/107765/ http://psasir.upm.edu.my/id/eprint/107765/ http://psasir.upm.edu.my/id/eprint/107765/ http://psasir.upm.edu.my/id/eprint/107765/1/dint_a_00219.pdf |