| Paper Abstract and Keywords |
| Presentation |
2022-03-08 13:50
Research and divelopment of Digital twin system for visualizing disaster prevention information in Chino city
Ryuki Ayukawa, Tadashi Miyosawa (SUWA Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Developed a digital twin system that visualizes disaster information in Chino City and allows citizens to obtain information. The purpose is to confirm its usefulness and the results were acceptable. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Chino City / DigitalTwin / 3D City Model / Disaster Information / Terria / Cesium / / |
| Reference Info. |
ITE Tech. Rep., vol. 46, no. 10, AIT2022-155, pp. 411-412, March 2022. |
| Paper # |
AIT2022-155 |
| Date of Issue |
2022-03-01 (AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
AIT IIEEJ AS CG-ARTS |
| Conference Date |
2022-03-08 - 2022-03-08 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Expressive Japan 2022 |
| Paper Information |
| Registration To |
AIT |
| Conference Code |
2022-03-AIT-IIEEJ-AS-ARTS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Research and divelopment of Digital twin system for visualizing disaster prevention information in Chino city |
| Sub Title (in English) |
|
| Keyword(1) |
Chino City |
| Keyword(2) |
DigitalTwin |
| Keyword(3) |
3D City Model |
| Keyword(4) |
Disaster Information |
| Keyword(5) |
Terria |
| Keyword(6) |
Cesium |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Ryuki Ayukawa |
| 1st Author's Affiliation |
SUWA University of Science (SUWA Univ.) |
| 2nd Author's Name |
Tadashi Miyosawa |
| 2nd Author's Affiliation |
SUWA University of Science (SUWA Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2022-03-08 13:50:00 |
| Presentation Time |
90 minutes |
| Registration for |
AIT |
| Paper # |
AIT2022-155 |
| Volume (vol) |
vol.46 |
| Number (no) |
no.10 |
| Page |
pp.411-412 |
| #Pages |
2 |
| Date of Issue |
2022-03-01 (AIT) |