Applications of Internet of Things
| dc.contributor.editor | Chen, Chi-Hua | |
| dc.contributor.editor | Lo, Kuen-Rong | |
| dc.date.accessioned | 2022-01-11T13:39:31Z | |
| dc.date.available | 2022-01-11T13:39:31Z | |
| dc.date.issued | 2021 | |
| dc.identifier | ONIX_20220111_9783036511924_437 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/76702 | |
| dc.description.abstract | This book introduces the Special Issue entitled “Applications of Internet of Things”, of ISPRS International Journal of Geo-Information. Topics covered in this issue include three main parts: (I) intelligent transportation systems (ITSs), (II) location-based services (LBSs), and (III) sensing techniques and applications. Three papers on ITSs are as follows: (1) “Vehicle positioning and speed estimation based on cellular network signals for urban roads,” by Lai and Kuo; (2) “A method for traffic congestion clustering judgment based on grey relational analysis,” by Zhang et al.; and (3) “Smartphone-based pedestrian’s avoidance behavior recognition towards opportunistic road anomaly detection,” by Ishikawa and Fujinami. Three papers on LBSs are as follows: (1) “A high-efficiency method of mobile positioning based on commercial vehicle operation data,” by Chen et al.; (2) “Efficient location privacy-preserving k-anonymity method based on the credible chain,” by Wang et al.; and (3) “Proximity-based asynchronous messaging platform for location-based Internet of things service,” by Gon Jo et al. Two papers on sensing techniques and applications are as follows: (1) “Detection of electronic anklet wearers’ groupings throughout telematics monitoring,” by Machado et al.; and (2) “Camera coverage estimation based on multistage grid subdivision,” by Wang et al. | |
| dc.language | English | |
| dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues | en_US |
| dc.subject.other | urban traffic | |
| dc.subject.other | grey relational membership degree | |
| dc.subject.other | traffic congestion judgment | |
| dc.subject.other | mobile positioning | |
| dc.subject.other | commercial vehicle operation data | |
| dc.subject.other | cellular network | |
| dc.subject.other | cloud computing | |
| dc.subject.other | location-based service | |
| dc.subject.other | Internet of Things | |
| dc.subject.other | distributed system architecture | |
| dc.subject.other | intelligent transportation system | |
| dc.subject.other | cellular networks | |
| dc.subject.other | vehicle positioning | |
| dc.subject.other | speed estimation | |
| dc.subject.other | machine learning | |
| dc.subject.other | road anomaly | |
| dc.subject.other | avoidance | |
| dc.subject.other | behavior recognition | |
| dc.subject.other | smartphone | |
| dc.subject.other | opportunistic sensing | |
| dc.subject.other | anklet monitoring and tracking | |
| dc.subject.other | detection algorithms | |
| dc.subject.other | geoprocessing | |
| dc.subject.other | Law Enforcement Telecommunications Systems (LETS) | |
| dc.subject.other | sensor data fusion | |
| dc.subject.other | camera coverage estimation | |
| dc.subject.other | multistage grid subdivision | |
| dc.subject.other | line of sight | |
| dc.subject.other | viewshed analysis | |
| dc.subject.other | obstacle | |
| dc.subject.other | k-anonymity | |
| dc.subject.other | location-based services | |
| dc.subject.other | location privacy | |
| dc.subject.other | the credible chain | |
| dc.title | Applications of Internet of Things | |
| dc.type | book | |
| oapen.identifier.doi | 10.3390/books978-3-0365-1193-1 | |
| oapen.relation.isPublishedBy | 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 | |
| oapen.relation.isbn | 9783036511924 | |
| oapen.relation.isbn | 9783036511931 | |
| oapen.pages | 162 | |
| oapen.place.publication | Basel, Switzerland |
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