Student Support for 2017 International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017)
2017 年地理信息系统进展国际会议 (ACM SIGSPATIAL 2017) 的学生支持
基本信息
- 批准号:1745399
- 负责人:
- 金额:$ 3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-07-01 至 2018-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award provides support for U.S-based students to attend the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, November 7-10, 2017 in Redondo Beach, CA (http://sigspatial2017.sigspatial.org/). In addition to regular research/demo papers and industry papers, ACM SIGSPATIAL 2017 features several sessions dedicated to young researchers: PhD Symposium, SIGSPATIAL Cup, and Student Research Competition. PhD Symposia in the past four years have also organized panels and keynote talks by prominent researchers, to help young researchers in improving the focus of their work. Spatial information is essential in many branches of industry and academia, and businesses as well as governmental agencies are utilizing it their daily operations to improve the structuring of new strategies, and increase overall productivity. Applications of spatial information handling can be found in location-based services in the mobile-commerce industry, strategic assessments in the military agencies, climatology studies (e.g., determining the potential effects of a tsunami) in meteorological research, computer-aided design and computer aided manufacturing (CAD/CAM) applications, medical imaging and atlases (e.g., 3D brain atlas), land-use classification of satellite imagery in urban planning, detection of local instability in transportation networks, epidemiological pattern forecasting (predicting the spread of disease) in the health-care field, analyzing crime hot spots for law enforcement, creation of high resolution three-dimensional maps from satellite imagery for intelligence applications, etc. Combined with the increased demand for spatial data processing, spatial information systems are gaining a substantial share across the spectrum in the industrial, government, and academic sectors. The ACM Special Interest Group on Spatial Information (SIGSPATIAL) is an association for researchers, students, developers, practitioners, and professionals interested in research, development, and deployment of solutions to spatial data, spatial operations, spatial information handling, and spatial knowledge extraction problems. The scope of members' interests spans from more theoretical aspects (e.g., geometric algorithms) to very focused application-oriented aspects, and has generated a significant body of research in the past decade. The charter of ACM SIGSPATIAL is dedicated to fostering research and development activities especially as it pertains to the acquisition, management, and processing of spatially-related information with a focus on algorithmic, geometric, and visual considerations, and is at the heart of enabling technologies for geographic information systems (GIS), navigation systems, etc. Given the relative importance of the field of spatial and geographical data, ACM SIGSPATIAL conference aims to augmenting its role and impact by motivating and supporting a new generation of scientists and engineers to take on the challenge of pursuing their graduate careers and beyond in this multidisciplinary area. The ACM SIGSPATIAL conference has established itself as the world's premier research conference in Spatial Information and Geographic Information Systems (GIS). The conference provides a forum for original research contributions covering all conceptual, design, and implementation aspects of GIS ranging from applications, user interfaces, and visualization to storage management and indexing issues. It brings together researchers, developers, users, and practitioners carrying out research and development in novel systems based on geospatial data and knowledge, and fostering interdisciplinary discussions and research in all aspects of GIS. Proceedings of the ACM SIGSPATIAL 2017 Conference will be published in the ACM Digital Library (http://dl.acm.org/).
该奖项为美国的学生提供了支持,即参加2017年11月7日至10日在加利福尼亚州雷东多海滩(http://sigspatial2017.sigspatial.org/)举行的第25届ACM Sigspatial International International International International International国际会议。除了定期的研究/演示论文和行业论文外,ACM Sigspatial 2017还有一些专门针对年轻研究人员的会议:博士研讨会,Sigspatial Cup和学生研究竞赛。在过去的四年中,博士学位研讨会还组织了著名研究人员的小组和主题演讲,以帮助年轻研究人员改善其工作重点。空间信息在行业和学术界的许多分支中至关重要,企业以及政府机构正在利用其日常运营来改善新策略的结构,并提高整体生产率。 Applications of spatial information handling can be found in location-based services in the mobile-commerce industry, strategic assessments in the military agencies, climatology studies (e.g., determining the potential effects of a tsunami) in meteorological research, computer-aided design and computer aided manufacturing (CAD/CAM) applications, medical imaging and atlases (e.g., 3D brain atlas), land-use classification of satellite imagery in urban计划,运输网络中当地不稳定的发现,流行病学模式的预测(预测疾病的传播)在卫生保健领域中,分析执法的犯罪热点,创建高分辨率的三维图中的高分辨率三维图表以智能应用的智能应用等与空间数据处理相结合的智能应用程序,并跨越了空间数据,并跨越了空间数据,并跨越了范围的范围。部门。 ACM空间信息特别兴趣小组(Sigspatial)是研究人员,开发人员,从业人员和专业人士的协会,对研究,开发和部署解决方案,用于空间数据,空间信息,空间信息处理以及空间知识提取问题的解决方案。成员利益的范围涵盖了更多理论方面(例如几何算法)到非常注重应用程序的方面,并在过去十年中产生了大量的研究。 ACM Sigspatial的宪章致力于培养研发活动,尤其是涉及到与空间相关信息的获取,管理和处理,侧重于算法,几何和视觉考虑,并且是对地理信息系统(GIS)的启用技术的核心,等等。 Sigspatial会议旨在通过激励和支持新一代的科学家和工程师来应对从事其研究生职业以及在这个多学科领域以外的挑战来增强其作用和影响。 ACM Sig -Spatial会议已成为世界上首屈一指的空间信息和地理信息系统(GIS)的主要研究会议。该会议为原始研究贡献提供了一个论坛,涵盖了GIS的所有概念,设计和实施方面,包括应用程序,用户界面以及可视化到存储管理和索引问题。它汇集了基于地理空间数据和知识的新型系统中的研究和开发的研究人员,开发人员,用户和从业人员,并在GIS的各个方面促进了跨学科讨论和研究。 ACM Sigspatial 2017会议的会议记录将在ACM数字图书馆(http://dl.acm.org/)上发布。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Goce Trajcevski其他文献
A Probabilistic Framework for Land Deformation Prediction (Student Abstract)
土地变形预测的概率框架(学生摘要)
- DOI:
10.1609/aaai.v36i11.21637 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Rongfang Li;Fan Zhou;Goce Trajcevski;Kunpeng Zhang;Ting Zhong - 通讯作者:
Ting Zhong
Uncertainty in Spatial Trajectories
- DOI:
10.1007/978-1-4614-1629-6_3 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Goce Trajcevski - 通讯作者:
Goce Trajcevski
Compression of Spatio-temporal Data
- DOI:
10.1109/mdm.2016.80 - 发表时间:
2016-06 - 期刊:
- 影响因子:0
- 作者:
Goce Trajcevski - 通讯作者:
Goce Trajcevski
Crawler
履带式
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Kenneth A. Ross;C. S. Jensen;R. Snodgrass;C. Dyreson;Spiros Skiadopoulos;Cristina Sirangelo;M. Larsgaard;G. Grahne;Daniel Kifer;Hans;H. Hinterberger;Alin Deutsch;Alan Nash;K. Wada;W. M. P. Aalst;C. Dyreson;P. Mitra;Ian H. Witten;Bing Liu;Charu C. Aggarwal;M. Tamer Özsu;Chimezie Ogbuji;Chintan Patel;Chunhua Weng;A. Wright;Amnon Shabo (Shvo);Dan Russler;R. A. Rocha;Yves A. Lussier;James L. Chen;Mohammed J. Zaki;Antonio Corral;Michael Vassilakopoulos;Dimitrios Gunopulos;Dietmar Wolfram;S. Venkatasubramanian;Michalis Vazirgiannis;Ian Davidson;Sunita Sarawagi;Liam Peyton;Gregory D. Speegle;Victor Vianu;Dirk Van Gucht;Opher Etzion;Francisco Curbera;AnnMarie Ericsson;Mikael Berndtsson;J. Mellin;P. Gray;Goce Trajcevski;Ouri Wolfson;Peter Scheuermann;Chitra Dorai;Michael Weiner;A. Borgida;J. Mylopoulos;Gottfried Vossen;A. Reuter;Val Tannen;S. Elnikety;Alan Fekete;L. Bertossi;F. Geerts;Wenfei Fan;T. Westerveld;Cathal Gurrin;Jaana Kekäläinen;Paavo Arvola;Marko Junkkari;Kyriakos Mouratidis;Jeffrey Xu Yu;Yong Yao;John F. Gehrke;S. Babu;N. Palmer;C. Leung;Michael W. Carroll;Aniruddha S. Gokhale;Mourad Ouzzani;Brahim Medjahed;Ahmed K. Elmagarmid;S. Manegold;Graham Cormode;Serguei Mankovskii;Donghui Zhang;Theo Härder;Wei Gao;Cheng Niu;Qing Li;Yu Yang;Payam Refaeilzadeh;Lei Tang;Huan Liu;Torben Bach Pedersen;Konstantinos Morfonios;Y. Ioannidis;Michael H. Böhlen;R. Snodgrass;Lei Chen - 通讯作者:
Lei Chen
Processing (Multiple) Spatio-temporal Range Queries in Multicore Settings
在多核设置中处理(多个)时空范围查询
- DOI:
10.1007/978-3-642-23737-9_16 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Goce Trajcevski;Anan Yaagoub;P. Scheuermann - 通讯作者:
P. Scheuermann
Goce Trajcevski的其他文献
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{{ truncateString('Goce Trajcevski', 18)}}的其他基金
Collaborative Research: SWIFT: LARGE: Dynamics and Security Aware Predictive Spectrum Sharing with Active and Passive Users
协作研究:SWIFT:大型:与主动和被动用户进行动态和安全感知预测频谱共享
- 批准号:
2030249 - 财政年份:2021
- 资助金额:
$ 3万 - 项目类别:
Standard Grant
Conference on Advances in Geographic Information Systems 2019: Student Activities and U.S.-Based Students Support
2019 年地理信息系统进展会议:学生活动和美国学生支持
- 批准号:
1953829 - 财政年份:2020
- 资助金额:
$ 3万 - 项目类别:
Standard Grant
III: Large: Collaborative Research: Moving Objects Databases for Exploration of Virtual and Real Environments
III:大型:协作研究:用于探索虚拟和现实环境的移动对象数据库
- 批准号:
1823267 - 财政年份:2017
- 资助金额:
$ 3万 - 项目类别:
Standard Grant
CPS: Synergy: Collaborative Research: Mapping and Querying Underground Infrastructure Systems
CPS:协同:协作研究:测绘和查询地下基础设施系统
- 批准号:
1823279 - 财政年份:2017
- 资助金额:
$ 3万 - 项目类别:
Standard Grant
SPX: Collaborative Research: Multicore to Wide Area Analytics on Streaming Data
SPX:协作研究:流数据的多核到广域分析
- 批准号:
1725702 - 财政年份:2017
- 资助金额:
$ 3万 - 项目类别:
Standard Grant
CPS: Synergy: Collaborative Research: Mapping and Querying Underground Infrastructure Systems
CPS:协同:协作研究:测绘和查询地下基础设施系统
- 批准号:
1646107 - 财政年份:2016
- 资助金额:
$ 3万 - 项目类别:
Standard Grant
III: Small: Real-Time Detection of Structures from a Massive Graph Stream
III:小:从海量图流中实时检测结构
- 批准号:
1527541 - 财政年份:2015
- 资助金额:
$ 3万 - 项目类别:
Standard Grant
III: Large: Collaborative Research: Moving Objects Databases for Exploration of Virtual and Real Environments
III:大型:协作研究:用于探索虚拟和现实环境的移动对象数据库
- 批准号:
1213038 - 财政年份:2012
- 资助金额:
$ 3万 - 项目类别:
Standard Grant
NeTS: Large:Collaborative Research: Context-Driven Management of Heterogeneous Sensor Networks
NetS:大型:协作研究:异构传感器网络的上下文驱动管理
- 批准号:
0910952 - 财政年份:2009
- 资助金额:
$ 3万 - 项目类别:
Continuing Grant
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