找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Information Technology in Disaster Risk Reduction; 8th IFIP WG 5.15 Int Julie Dugdale,Terje Gjøsæter,Osamu Uchida Conference proceedings 20

[复制链接]
楼主: 落后的煤渣
发表于 2025-3-28 16:12:26 | 显示全部楼层
发表于 2025-3-28 21:08:29 | 显示全部楼层
Snowed In and Cut Off: How a Norwegian Municipality Dealt with a Power Outaged role understanding in similar scenarios. We contend that examining such events through the lens of information Trading Zones (TZ) offers valuable insights into how collaborative efforts can enhance Team Situational Awareness (TSA) and foster a common operational picture (COP).
发表于 2025-3-29 02:53:47 | 显示全部楼层
TeamAware: Profile-Based Interoperability Framework for First Responderssed reference architecture is described to address the interoperability challenge among C2 and sensor systems, and present six identified profiles to be used by organizations in first responder emergency management activities.
发表于 2025-3-29 07:08:47 | 显示全部楼层
发表于 2025-3-29 11:19:32 | 显示全部楼层
Undesignated Evacuation Site Location Characteristics: Identification by Mobile Spatial Statistics acteristics. Using these results, searching for undesignated evacuation sites based on designated evacuation shelters and delivering assistance to a larger number of disaster-affected people is possible. The findings enable efficient search and assistance strategies, offering valuable insights for disaster response planning.
发表于 2025-3-29 15:14:34 | 显示全部楼层
发表于 2025-3-29 17:17:00 | 显示全部楼层
Performance Evaluation of Flood Level Estimation Method Using State-Space Model with Time-Series Monr flood levels, and compensates for the accuracy of conventional methods by correcting a flood analysis simulation with a state-space model to provide a highly accurate estimate of flood levels for the entire urban area. We apply this method to several flood events in Aichi Prefecture, Japan, to investigate its performance.
发表于 2025-3-29 22:52:48 | 显示全部楼层
Analysis of Japanese Tweets on the Russian Military Invasion of Ukraine Focusing on Frequently Used posts (tweets) containing the two words “Russia” and “Ukraine” that were posted over an approximately one-year period from the time the invasion began. We analyze the tweets focusing on frequently used words and emotional expressions in the tweets to gain an overview of the statements and the online discussions about the invasion.
发表于 2025-3-30 03:09:42 | 显示全部楼层
发表于 2025-3-30 06:57:21 | 显示全部楼层
1868-4238 selected from 26 submissions. The papers were organized in topical sections as follows: Evacuation and Emergency Management; Situational Awareness; Social Media; Information Systems; Geographic Information System (GIS); and Healthcare..978-3-031-64039-1978-3-031-64037-7Series ISSN 1868-4238 Series E-ISSN 1868-422X
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-24 11:02
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表