Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems最新文献_第2页

HMM-based address parsing: efficiently parsing billions of addresses on MapReduce 基于hmm的地址解析:在MapReduce上高效解析数十亿个地址

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI: 10.1145/2666310.2666471

Xiang Li, Hakan Kardes, Xin Wang, Ang Sun

引用次数: 6

Towards approximate spatial queries for large-scale vehicle networks 面向大规模车辆网络的近似空间查询

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI: 10.1145/2666310.2666490

Lipeng Wan, Zhibo Wang, Zheng Lu, H. Qi, Wenjun Zhou, Qing Cao

{"title":"Towards approximate spatial queries for large-scale vehicle networks","authors":"Lipeng Wan, Zhibo Wang, Zheng Lu, H. Qi, Wenjun Zhou, Qing Cao","doi":"10.1145/2666310.2666490","DOIUrl":"https://doi.org/10.1145/2666310.2666490","url":null,"abstract":"With advances in vehicle-to-vehicle communication, future vehicles will have access to a communication channel through which messages can be sent and received when two get close to each other. This enabling technology makes it possible for authenticated users to send queries to those vehicles of interest, such as those that are located within a geographic region, over multiple hops for various application goals. However, a naive method that requires flooding the queries to each active vehicle in a region will incur a total communication overhead that is proportional to the size of the area and the density of vehicles. In this paper, we study the problem of spatial queries for vehicle networks by investigating probabilistic methods, where we only try to obtain approximate estimates within desired confidence intervals using only sublinear overheads. We consider this to be particularly useful when spatial query results can be made approximate or not precise, as is the case with many potential applications. The proposed method has been tested on snapshots from real world vehicle network traces.","PeriodicalId":153031,"journal":{"name":"Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126905586","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: 2

Learning symbolic descriptions of activities from examples in WAAS 从WAAS的例子中学习活动的符号描述

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI: 10.1145/2666310.2666434

Jongmoo Choi, G. Medioni

{"title":"Learning symbolic descriptions of activities from examples in WAAS","authors":"Jongmoo Choi, G. Medioni","doi":"10.1145/2666310.2666434","DOIUrl":"https://doi.org/10.1145/2666310.2666434","url":null,"abstract":"We present an automatic system that learns symbolic representations of activities from examples in Wide Area Aerial Surveillance (WAAS). In the previous work, we presented an ERM (Entity Relationship Models)-based activity recognition system in which finding an activity is equivalent to sending a query, defined by SQL statements, to a Relational DataBase Management System (RDBMS). The system enables us to identify spatial and geo-spatial activities in WAAS as long as activities are carefully defined by human operators. Here, we show how to infer a structured definition of an activity from examples provided by a user. Our system randomly generates a set of possible SQL statements using a logic generator in a MCMC framework, uses a memory-based RDBMS to validate generated SQL statements with the input data/database, and selects the best answer that allows the RDBMS to explain the input positive examples while excluding negative examples. We have evaluated our system on real visual tracks. Our system can find activity definitions from input examples and associated query results including motion patterns (e.g., \"loop\") and geospatial activities (e.g., \"parking in a lot\").","PeriodicalId":153031,"journal":{"name":"Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123079238","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

Participatory route planning 参与式路线规划

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI: 10.1145/2666310.2666406

David Wilkie, Cenk Baykal, M. Lin

引用次数: 12

TAREEG: a MapReduce-based system for extracting spatial data from OpenStreetMap TAREEG:一个基于mapreduce的系统，用于从OpenStreetMap中提取空间数据

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI: 10.1145/2666310.2666403

Louai Alarabi, A. Eldawy, Rami Alghamdi, M. Mokbel

引用次数: 26

Labeling streets in interactive maps using embedded labels 在交互式地图中使用嵌入标签标注街道

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI: 10.1145/2666310.2666494

Nadine Schwartges, A. Wolff, J. Haunert

引用次数: 8

A GIS-based serious game interface for therapy monitoring 一个基于gis的治疗监测严肃游戏界面

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI: 10.1145/2666310.2666376

A. Qamar, Imad Afyouni, Mohamed Abdur Rahman, F. Rehman, D. Hossain, Saleh M. Basalamah, A. Lbath

{"title":"A GIS-based serious game interface for therapy monitoring","authors":"A. Qamar, Imad Afyouni, Mohamed Abdur Rahman, F. Rehman, D. Hossain, Saleh M. Basalamah, A. Lbath","doi":"10.1145/2666310.2666376","DOIUrl":"https://doi.org/10.1145/2666310.2666376","url":null,"abstract":"In this paper, we present a novel idea of a map-based therapy environment for people with Hemiplegia. The therapy environment is designed according to the suggestions of therapists, which consists of a spatial map browsing serious game augmented with our novel multi-sensory natural user interface (NUI). The NUI is based on 3D motion sensors that can recognize different hand and body gestures used for browsing a 3D or 2D map. The 3D motion sensors work in a non-invasive way; hence, they do not require any wearable body attachments and can be used at home without assistance from the therapists. The map-browsing environment provides an immersive experience to the disabled users, which helps in performing therapy in an interesting and entertaining manner. We have developed analytics for measuring certain quality of health improvement metrics from each type of spatial map browsing movements. The 3D motion sensors have been tested with Nokia, Google, ESRI, and a number of other maps that allow a subject to visualize and browse the 3D and 2D maps of the world. The map browsing session data shows the nature of big data; hence, the session data is stored in a cloud environment. Our developed serious game environment is web-based; thus anyone having the appropriate low cost sensor hardware can plug it in and start experiencing a natural way of hands free map browsing. We have deployed our framework in a hospital that treats Hemiplegic patients. Based on the feedback obtained, the developed platform shows a huge potential for use in hospitals that provide physiotherapy services as well as at patients' home as an assistive therapeutic service.","PeriodicalId":153031,"journal":{"name":"Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115673831","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: 5

A search and summary application for traffic events detection based on Twitter data 基于Twitter数据的交通事件检测的搜索和摘要应用程序

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI: 10.1145/2666310.2666366

Meiling Liu, Kaiqun Fu, Chang-Tien Lu, Guangsheng Chen, Huiqiang Wang

{"title":"A search and summary application for traffic events detection based on Twitter data","authors":"Meiling Liu, Kaiqun Fu, Chang-Tien Lu, Guangsheng Chen, Huiqiang Wang","doi":"10.1145/2666310.2666366","DOIUrl":"https://doi.org/10.1145/2666310.2666366","url":null,"abstract":"As a form of social media, Twitter records real life events in our cities as they happen. Huge numbers of tweets under the heading of transportation or metro are published every day. This paper presents an application for Traffic Events Detection and Summary (TEDS) based on mining representative terms from the tweets posted when anomalies occur. The proposed ensemble application contains an efficient TEDS search engine with multiple indexing, ranking, and scoring schemes. Spatio-temporal analysis and a novel wavelet analysis model are applied for traffic event detection. This application could benefit both drivers and transportation authorities. Users can search transportation status and analyze traffic events in specific locations of interest. Utilizing the proposed signal processing technology, we demonstrate the system's effectiveness by examining traffic and metro travel in the Washington D.C. area. As the collaboration between a citizen's life and social media becomes ever greater, this could have a significant impact on the prediction of traffic flow, travel selection, and other city computing functions.","PeriodicalId":153031,"journal":{"name":"Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117273036","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: 29

Hourly pedestrian population trends estimation using location data from smartphones dealing with temporal and spatial sparsity 利用智能手机处理时间和空间稀疏的位置数据估计每小时的行人人口趋势

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI: 10.1145/2666310.2666391

Kentaro Nishi, K. Tsubouchi, M. Shimosaka

{"title":"Hourly pedestrian population trends estimation using location data from smartphones dealing with temporal and spatial sparsity","authors":"Kentaro Nishi, K. Tsubouchi, M. Shimosaka","doi":"10.1145/2666310.2666391","DOIUrl":"https://doi.org/10.1145/2666310.2666391","url":null,"abstract":"This paper describes a pedestrian population trend estimation method using location data of smartphone users. This technique is intended to be an alternative to traffic censuses using tally counters. Traffic censuses using tally counters are still commonly used to survey the number of pedestrians despite their cost and limitations in area and time. The proposed approach can replace the traffic census by using smartphone users' location data accumulated on Yahoo! Japan. Moreover, it is low cost because it uses location data collaterally acquired from smartphone users, and it has no limits in terms of area or time. This means pedestrian population trends in arbitrary and times about which we want to know can be estimated. The proposed technique is based on the assumption that the number of location data in an area is proportional to the population volume, but it also eliminates some data to increase pedestrian accuracy. In the elimination step, some location data that should not be counted as pedestrians are excluded by estimating transport modes from anteroposterior location data. The supplement step tackles the problem of data shortage when a target area is a small region by using a Gaussian kernel. The Gaussian kernel smoother is also used to deal with data interpolation in the time direction, and it enables us to estimate time-continuous pedestrian volumes in arbitrary areas. To evaluate the approach, a manual traffic survey was conducted in five areas on 11 days and the ground truth data are acquired. Experimental result shows the approach successfully estimate pedestrian population trends in areas. The proposed method makes less than one-tenth the mean squared errors of hourly pedestrian number estimation than the conventional approach.","PeriodicalId":153031,"journal":{"name":"Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129215944","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: 12

A data driven approach to mapping urban neighbourhoods 一种数据驱动的城市社区地图绘制方法

Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Pub Date : 2014-11-04 DOI: 10.1145/2666310.2666473

P. Brindley, James Goulding, Max L. Wilson

引用次数: 9