Design of air quality information service based upon geographic context information model in ISO19154

Hong, Soojung

doi:10.1007/s41324-016-0077-z

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…The routing algorithm should be easy to implement and low in computational complexity. In the case of nodes with limited computing Zðb 0 Þ power in wireless sensor networks, it is necessary to avoid the use of complex optimization methods [20,21]. Although multiobjective optimization algorithms exist, more single-metric optimization algorithms are used.…”

Section: Kriging Algorithm Based On Global Optimization the Kriging M...mentioning

confidence: 99%

5G Embedded Sensor Network System for Sports Information Service Hotspot Recommendation

Zhou

2022

Wireless Communications and Mobile Computing

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How to rationally allocate and integrate existing resources has become the top priority of the development of sports public information services in the transition period, but it is also a weak link in the construction of current social information resources. This article is aimed at studying how to develop sports information service hotspots based on 5G embedded sensor network systems. Methods such as the network structure based on 5G embedded sensors, the Kriging algorithm based on global optimization, and sensor distance measurement are proposed and also conducted experiments on the application of 5G embedded sensor network system in sports information service hotspot recommendation. The results show that people are satisfied with the sports information service of the wireless sensor network, with a maximum score of 9.8, which is suitable for the information provision of sports information services. The development of the times has met the needs of most people.

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Section: Kriging Algorithm Based On Global Optimization the Kriging M...mentioning

confidence: 99%

5G Embedded Sensor Network System for Sports Information Service Hotspot Recommendation

Zhou

2022

Wireless Communications and Mobile Computing

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“…To realize the UPA-to-GI for air quality information, three fundamental components in UPA-to-GI architecture for air quality information are identified in Section 3.2 They are the air quality observation system, air quality information platform, and end users (Figure 2). Also, the functional requirements to develop air quality information services are defined (Table 1) [21]. The air quality context information model refers to the UPA context information model from ISO 19154 in Figure 1.…”

Section: Overviewmentioning

confidence: 99%

“…A large network of volunteers can measure and share personal exposures to air pollutants in regions of their interest such as a residential area nearby factories or a traffic congestion zone. Also, with mobile applications on smart phones, citizens are able to rate or report their perceptions about air qualities [21,22]. In addition, social media technology platforms are now regarded as social sensors, collecting citizens' perceptions of air quality and air pollution events [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Air Quality Context Information Model for Ubiquitous Public Access to Geographic Information

Hong

2018

IJGI

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The advance in Information Communication Technology (ICT) has contributed to global challenges of improving urban air quality. Ubiquitous computing technology enables citizens to easily access air quality information services without spatial or temporal limitations. Citizens are also encouraged to participate in air quality assessment and environmental governance. These societal and technical changes require a new paradigm to develop an air quality information system and its services. An air quality information system needs to integrate varied types of air quality information from heterogeneous data sources as well as allow citizens to express their concerns about air quality. Thus, a standardized manner is necessary to develop an air quality information system. In this regard, an air quality context information model was designed according to the Ubiquitous Public Access (UPA) context information model defined in the International Organization for Standard (ISO) 19154. For validation and verification purposes, the air quality context information model was implemented in a geographic information system (GIS)-based air quality information system. Implementation results showed that spatially relevant air quality information services were generated from the system, depending on the location and air quality situations near a specific user. Also, citizens can contribute air quality information at their current regions.

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Design of air quality information service based upon geographic context information model in ISO19154

Cited by 2 publications

References 11 publications

5G Embedded Sensor Network System for Sports Information Service Hotspot Recommendation

5G Embedded Sensor Network System for Sports Information Service Hotspot Recommendation

Air Quality Context Information Model for Ubiquitous Public Access to Geographic Information

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