Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management最新文献_第2页

Opinion mining for emergency case risk analysis in spark based distributed system 基于spark的分布式系统突发事件风险分析意见挖掘

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835608

LongDeng Xiao, Y. Tang, Yihua Huang

{"title":"Opinion mining for emergency case risk analysis in spark based distributed system","authors":"LongDeng Xiao, Y. Tang, Yihua Huang","doi":"10.1145/2835596.2835608","DOIUrl":"https://doi.org/10.1145/2835596.2835608","url":null,"abstract":"The 2014 West African Ebola Outbreak rised from Sierra Leone, Guinea, and Liberia at December in 2013 has been reported to cause 21296 cases and 8429 deaths until now. Besides that, Typhoon Haiyan and Typhoon Hagupit are also the serious disaster accidents for emergency management in recnt years. In order to collect and analyze these accidents in more details, we need to design and adopt some new ideas and models. In this paper, we used Spark based Distributed mining system for online opinion data collecting and mining. We crawled related online social media data of Ebola from the most four favorite online social networks (including SINA, TENCENT) in China from June to November in 2014. By analyzing these attained social media data and airline data of GEM model, we found some interesting results. Furthermore, we collected the online social media data of Typhoon Haiyan and Hagupit before and after their landing. And we also showed analysis of combining social network data with geographical demonstration and Chinese citizen sentiment towards these disasters. As a result, we offered some suggestions to the government to handle opinion situation in these disasters.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134356656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An interactive mapping system incorporating data reliability information 包含数据可靠性信息的交互式制图系统

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835617

Min Sun, David W. S. Wong, B. Kronenfeld

引用次数: 0

Validation of astrology through relationship between sun signs using social network data 利用社交网络数据通过太阳星座之间的关系验证占星术

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2846756

Zhao Yan, YongXing Jiang, Xiaolong Deng

{"title":"Validation of astrology through relationship between sun signs using social network data","authors":"Zhao Yan, YongXing Jiang, Xiaolong Deng","doi":"10.1145/2835596.2846756","DOIUrl":"https://doi.org/10.1145/2835596.2846756","url":null,"abstract":"Astrology, which has always been considered as pseudoscience, are making more and more people believe in it. The validation of astrology has been done by a few scientists before, however, with the emergence of social network, we can get a data set that is much larger and easier than before to revalidate astrology. In this paper, we choose relationship between sun signs as single aspect to make the validation. First, by using friendship data gathered from Xiami music website, we applied the chi-square test to the data set, which surprising shows static significance between relationship and sun signs. Considering the friendship intensity in the social network such as Xiami is relatively low, we collected the sun sign information of users who are couple in Facebook, again we applied the chi-square test to the data set, interestingly, the result shows no static significance between relationship and sun signs. Our result suggest that under strong relationship there is no static significance between sun-sign and human relationship, however, under weak network there really is a certain level of static significance between sun-sign and human relationship. Interestingly, we find that people with same sun-sign shows more dependency.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131372371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How to integrate open source resource to assess risk in emergency management: a framework and applications 如何整合开源资源以评估应急管理中的风险:框架和应用

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835607

Danhuai Guo, Wenjuan Cui, Qingchun Yan, Jianhui Li

{"title":"How to integrate open source resource to assess risk in emergency management: a framework and applications","authors":"Danhuai Guo, Wenjuan Cui, Qingchun Yan, Jianhui Li","doi":"10.1145/2835596.2835607","DOIUrl":"https://doi.org/10.1145/2835596.2835607","url":null,"abstract":"The unconventional emergency, such as massive natural disaster, public health, food safety and social security incident, usually outbreak more suddenly, diffused more quickly, cause more secondary damage and derive more disaster and with fewer omens exceeding what it is expected. It needs a large number of environmental, social and economic development data to assess the risk when emergency happen. However, the conventional risk assessment is carried out mainly through the analysis of geographic data and non-geographic data released by officials. In this paper, we propose an emergency risk assessment framework using the open source data. Our proposed framework includes five sections: Automatic Data Discovery, Data Organization, Computing resource calling, Model selection and Visualization. The process of data discovery and organization can be done automatically. Distributed computing resources are used and users can select the spatial analysis models interactively for prediction and visualization. The infection disease example is implemented using the proposed framework and verifies the effectiveness and efficiency of our framework.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115347261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RALFIE: a life-logging system for reducing potential radiation exposures 减少潜在辐射暴露的生命记录系统

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835615

Kyoung-Sook Kim, I. Kojima, R. Suzuki, W. Naito, Hirotaka Ogawa

{"title":"RALFIE: a life-logging system for reducing potential radiation exposures","authors":"Kyoung-Sook Kim, I. Kojima, R. Suzuki, W. Naito, Hirotaka Ogawa","doi":"10.1145/2835596.2835615","DOIUrl":"https://doi.org/10.1145/2835596.2835615","url":null,"abstract":"After the nuclear power plant accident in Fukushima, a significant amount of radioactive materials were released into the environment. The radiation exposure has brought lots of concerns about environments contamination, as well as economic and social consequences. Japan governmental agencies have started to continuously monitor and collect radiation levels by monitoring posts, probe cars and airborne surveys. These monitoring data contribute to estimate the external dose levels of radioactive materials and analyze human effects in the future. In this paper, we introduce the RALFIE (RAdiation Exposure LiFelog Indicator) system to help residents and experts to search for contaminated spots in daily activities and develop a reference guideline for reducing external exposures for individuals with their own data. First we design a model to integrate personal spatio-temporal positions with air dose rates on the real-time radiation monitoring data. Then we compare the relationship between ambient dose equivalent and individuals from D-shuttle sensors. Finally, we discuss how to create semantic trajectories with users' real-time annotation and geographic features with future directions.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"49 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120911810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Online monitoring system for natural gas leakage in cities with sensor network 城市天然气泄漏传感器网络在线监测系统

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835605

Yi Liu, Pan Yang, Gangqiao Wang, Chengxi Liu, Jing Qian

引用次数: 0

An ontology-oriented decision support system for emergency management based on information fusion 基于信息融合的面向本体的应急管理决策支持系统

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835602

Yaoci Han, W. Xu

引用次数: 11

Design of an IoT-GIS emergency management system for public road transport networks 面向公共道路交通网络的物联网- gis应急管理系统设计

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835611

Peng Du, Jianguo Chen, Zhanhui Sun, Yue Li

引用次数: 6

Using nightlight remote sensing imagery and Twitter data to study power outages 利用夜光遥感图像和推特数据来研究停电情况

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835601

C. Hultquist, Mark B. Simpson, G. Cervone, Qunying Huang

引用次数: 25

A personalized GeoSocial app for surviving an earthquake 一款个性化的地震求生地理社交应用

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835616

S. Bekhor, Sara Cohen, Y. Doytsher, Y. Kanza, Y. Sagiv

{"title":"A personalized GeoSocial app for surviving an earthquake","authors":"S. Bekhor, Sara Cohen, Y. Doytsher, Y. Kanza, Y. Sagiv","doi":"10.1145/2835596.2835616","DOIUrl":"https://doi.org/10.1145/2835596.2835616","url":null,"abstract":"Earthquakes are sudden, cause huge damage to extensive areas, and may negatively affect the lives of millions of people. Thus, it is crucial to develop a system that can help people survive an earthquake and recover from its aftereffects. In this paper we present a vision of a smartphone app, called EAGA (earthquake alerter and guidance app), that will guide both victims and rescue workers, by leveraging probabilistic geosocial information collected before the event, during the earthquake and in its aftermath. The app has four modes of operation. In standby mode, EAGA collects data about users, their regularly visited locations and their social relations. In alert mode, EAGA warns of an impending earthquake, based on data collected from a variety of sensors and from government warning systems. It also provides initial guidance to the user during the onset of the quake. In disaster mode, EAGA assists users to cope with the tasks of the immediate aftermath, such as evacuation and rescue of victims buried underneath rubble of collapsed buildings. Finally, in recovery mode, EAGA facilitates family reunification, provides information about aid centers and sends warnings regarding the spread of diseases. We believe that EAGA can revolutionize disaster management, and complements current earthquake readiness efforts, by allowing a large degree of much needed decentralization and personalization in dealing with earthquakes.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132054073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6