scholarly journals A Tool to Calculate the Level of Occupancy in Indoor and Outdoor Spaces Using BLE and Open Data to Be Published in Real-Time

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3916
Author(s):  
Montserrat Mateos Sánchez ◽  
Roberto Berjón Gallinas ◽  
M. Encarnación Beato Gutiérrez ◽  
Ana M. Fermoso García
Keyword(s):  
Real Time ◽  
Real Life ◽  
Open Data ◽  
University Environment ◽  
Outdoor Spaces ◽  
Recent Emergence ◽  
Outdoor Space ◽  
Real Time Information ◽  
Time Information ◽  
Indoor And Outdoor

The ability to know the precise level of occupancy in an indoor or outdoor space in real time could have multiple applications. It is a well-known problem for which a number of technologies have been proposed over time. The recent emergence of BLE beacon technology has provided a solution to the problem. This study presents a tool that uses beacons and user smartphones to determine the level of occupancy in indoor and outdoor spaces, providing real-time information that can be published as open data and subsequently used by other applications. The tool was tested in a university environment in real-life situations and has produced promising results in obtaining an occupancy count.

scholarly journals PRISM

2018 ◽  
Vol 6 (4) ◽  
pp. 46-58
Author(s):  
Takuhiro Kagawa ◽  
Sachio Saiki ◽  
Masahide Nakamura
Keyword(s):  
Real Time ◽  
Local Governments ◽  
Web Application ◽  
Information Service ◽  
Open Data ◽  
Heat Map ◽  
Security Information ◽  
Real Time Information ◽  
Conventional Services ◽  
Time Information

This article describes how local governments in Japan recently provide security information services for residents, which deliver regional incident information using Email or Web. However, since the conventional services usually provide “one-for-all” information. users tend to miss important incidents within the flood of information. This article proposes a new security information service, called PRISM (Personalized Real-time Information with Security Map). For given incident information and user's living area, PRISM first computes severity of the incident, based on distance, time, and type of the incident. It then visualizes the incidents with the severity on a heat map. Thus, PRISM provides real-time personalized information adapted to individual situation of users. To illustrate the feasibility, we implement PRISM as a Web application using Hyogo Bouhan Net, and Kobe city facility open data.

PRISM

2020 ◽  
pp. 193-208
Author(s):  
Takuhiro Kagawa ◽  
Sachio Saiki ◽  
Masahide Nakamura
Keyword(s):  
Real Time ◽  
Local Governments ◽  
Web Application ◽  
Information Service ◽  
Open Data ◽  
Security Information ◽  
Real Time Information ◽  
Conventional Services ◽  
Time Information ◽  
Living Area

This article describes how local governments in Japan recently provide security information services for residents, which deliver regional incident information using Email or Web. However, since the conventional services usually provide “one-for-all” information. users tend to miss important incidents within the flood of information. This article proposes a new security information service, called PRISM (Personalized Real-time Information with Security Map). For given incident information and user's living area, PRISM first computes severity of the incident, based on distance, time, and type of the incident. It then visualizes the incidents with the severity on a heat map. Thus, PRISM provides real-time personalized information adapted to individual situation of users. To illustrate the feasibility, we implement PRISM as a Web application using Hyogo Bouhan Net, and Kobe city facility open data.

Potential Urban Rainfall Prediction Measurement System

1984 ◽  
Vol 16 (8-9) ◽  
pp. 349-362 ◽  
Author(s):  
John L Vogel
Keyword(s):  
Real Time ◽  
The United States ◽  
Monitoring Systems ◽  
Climatic Region ◽  
Convective Storm ◽  
Rainfall Prediction ◽  
Water Quality Regulations ◽  
General Data ◽  
Real Time Information ◽  
Time Information

Continued growth of urban regions and more stringent water quality regulations have resulted in an increased need for more real-time information about past, present, and future patterns and intensities of precipitation. Detailed, real-time information about precipitation can be obtained using radar and raingages for monitoring and prediction of precipitation amounts. The philosophy and the requirements for the development of real-time radar prediction-monitoring systems are described for climatic region similar to the Midwest of the united States. General data analysis and interpretation techniques associated with rainfall from convective storm systems are presented.

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