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10.3390/s20154171 http://scihub22266oqcxt.onion/10.3390/s20154171 32727101!7435739!32727101     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sensors+(Basel) 2020 ; 20 (15): ä Nephropedia Template TP {{tp|p=32727101|t=2020. A GNSS-Based Crowd-Sensing Strategy for Specific Geographical Areas |pdf=|usr=}}{{32727101}} gab.com Text A GNSS-Based Crowd-Sensing Strategy for Specific Geographical Areas JO: Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32727101 #FOAvip Infectious diseases, such as COVID-19, SARS, MERS, etc., have seriously endangered human safety, economy, and education. During the spread of epidemics, restricting the range of activities of personnel is one of the options for the prevention and treatment of infectious diseases. A global navigation satellite system (GNSS), it can provide accurate coordinates of latitude and longitude to targets with GNSS receivers. However, it is not common to use GNSS coordinates to represent positions in social life. For epidemic management, it is important to know the locations (and addresses) of targets, especially in social life. When there are many targets, it is not easy to efficiently map these coordinates to locations. Therefore, we propose a GNSS-based crowd-sensing strategy for specific geographical areas that can be used to calculate how many targets are in specific geographical areas or whether a target is in a specific area. This strategy is based on the coordinates of latitude and longitude provided by GNSS to find the locations of these coordinates. As simulated data, the data records containing latitude and longitude in a well-known social networking service platform are used. The strategy is also available for mining hot spots or hot areas. Twit Text FOAVip A GNSS-Based Crowd-Sensing Strategy for Specific Geographical Areas ????Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=32727101 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32727101 #FOAvip English Wikipedia <ref>{{Cite pmid|32727101}}</ref> A GNSS-Based Crowd-Sensing Strategy for Specific Geographical Areas #MMPMID32727101 Lin CB; Hung RW; Hsu CY; Chen JS Sensors (Basel) 2020[Jul]; 20 (15): ä PMID32727101show ga Infectious diseases, such as COVID-19, SARS, MERS, etc., have seriously endangered human safety, economy, and education. During the spread of epidemics, restricting the range of activities of personnel is one of the options for the prevention and treatment of infectious diseases. A global navigation satellite system (GNSS), it can provide accurate coordinates of latitude and longitude to targets with GNSS receivers. However, it is not common to use GNSS coordinates to represent positions in social life. For epidemic management, it is important to know the locations (and addresses) of targets, especially in social life. When there are many targets, it is not easy to efficiently map these coordinates to locations. Therefore, we propose a GNSS-based crowd-sensing strategy for specific geographical areas that can be used to calculate how many targets are in specific geographical areas or whether a target is in a specific area. This strategy is based on the coordinates of latitude and longitude provided by GNSS to find the locations of these coordinates. As simulated data, the data records containing latitude and longitude in a well-known social networking service platform are used. The strategy is also available for mining hot spots or hot areas. |*Disease Management[MESH] |*Geographic Information Systems[MESH] |Algorithms[MESH] |Betacoronavirus/isolation & purification[MESH] |COVID-19[MESH] |Coronavirus Infections/epidemiology/*pathology/virology[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/epidemiology/*pathology/virology[MESH] |SARS-CoV-2[MESH]A GNSS-Based Crowd-Sensing Strategy for Specific Geographical Areas (epmc).pdf DeepDyve Pubget Overpricing