Poster and Demo Instructions
The Demo&Poster session is a good opportunity for the authors of Poster papers and Demonstration papers to showcase their work and meet with interested attendees for in-depth technical discussions. Thus it is important that you shape your work in an attractive way and keep your message clear and noticeable to attract people who might have an interest in your work. Please carefully follow the instructions below. Remark: In contrast to previous editions of the conference, this year, the SRC posters will be presented during the workshop day.
Poster Preparation: All the Poster and Demo papers should prepare a poster to be displayed during the Demo&Poster Session (see program at http://sigspatial2018.sigspatial.org/program/).
Note: The poster presentation is mandatory. Papers without a poster presented during the Poster&Demo reception (resp. the SRC poster session) will be removed from the conference proceedings.
The size of your poster should be no more than 36 inches wide and 48 inches tall, and in portrait orientation. We will provide you with a backing board of this size along with binder clips to hold the posters to it. Please do not make a poster larger than the recommended size.
The title of your poster should appear at the top in CAPITAL letters about 25mm high. On the left of the Title put your Poster ID or your Demo ID according to the list at the end of this document; Below the title put the author(s)' name(s) and affiliation(s).
The flow of your poster should be from the top left to the bottom right. Use arrows to lead your viewer through the poster. Use color for highlighting and to make your poster more attractive. Use pictures, diagrams, cartoons, figures, etc., rather than text wherever possible. Try to state your main result in 6 lines or less, in lettering about 15mm high so that people can read the poster from a distance. The smallest text on your poster should be at least 9mm high, and the important points should be in a larger size. Use a sans-serif font (such as "cmss" in the Computer Modern family or the "Helvetica" PostScript font) to make the print easier to read from a distance.
Make your poster as self-explanatory as possible. This will save your efforts for technical discussions. You may bring additional audio or visual aids to enhance your presentation. In order to help you interact with the people who attend the session, we suggest you to prepare a short talk of 2 to 5 minutes to introduce your work to viewers.
Demo Preparation: Only Demo paper authors need to prepare a demo in addition to the poster.
The presenter should bring their own laptops. Wireless Internet will be available throughout the conference venue. We will try to provide demo paper authors with access to electrical outlets, but please prepare for the scenario where they may not be available to you. The presenter should prepare a demonstration of your system that you can periodically give to those assembled around your table throughout the reception. If possible, co-authors should attend the session to aid in discussions, and to provide the presenters with the chance to rest or briefly view other demos and posters.
Prepare Fast Forward Preview Slides.
Authors of each Poster paper should also prepare a 3-slide presentation to give a quick overview of their poster during the “Fast-Forward Preview” session (earlier than the Poster&Demo reception session, see program at http://sigspatial2018.sigspatial.org/program/). The entire session will last 1 hour 30 minutes. Each poster paper will have exactly two minutes to give the audience an overview of your poster. The Fast-forward Preview slides should be sent to the Poster Chair email address (firstname.lastname@example.org) no later than [11:59PM, October 26, 2018].
Poster papers without fast-forward slides submitted will be removed from the conference proceedings.
Detailed instructions: Please prepare your presentation in Microsoft PowerPoint. Your presentation should consist of three slides -- one slide with the Poster ID, title of the paper, names of authors and affiliations (title slide) and two slides on the content of your work (content slides). You are encouraged to include pictures, screen shots, animations, and movies in your presentation.
Please make your slides "self running" and timed so that they last EXACTLY TWO MINUTES. The title slide should be allocated a minimum of 10 seconds, so that you have enough time to walk to the podium (and also for the preceding presenting author to leave the podium). Please divide the remaining time (one minute and fifty seconds) between the content slides.
All the slides from every poster paper will be put together into a master presentation. The master presentation will be "self running". This means that you will not have any control over the progression of the slides, which will occur entirely automatically. Therefore, please rehearse and set the transition times accordingly. As well be prepared if you start with a sometimes inevitable delay of no more than 5-10 seconds due to whatever reason before you can start.
Poster and Demo Awards
In order to encourage the authors of poster and demo papers to participate the conference and introduce their work, the ACM SIGSPATIAL GIS organizing committee has instituted three awards for the poster and demo authors, which will be honored during the banquet.
- Best Fast Forward Preview Presentation: The best 2-minute presentation given during the fast-forward preview session ("best" from a visual and attention grabbing standpoint in addition to the scientific value).
- Best Poster: The best actual Poster presented during the Poster&Demo Reception ("best" including an aesthetic sense).
- Best Demo: The best Demo presented during the Poster&Demo Reception.
Please contact the Poster Co-Chairs if you have any questions.
A) Poster Numbers: Please use the following number information on both your slides and your posters in order to simplify the work of the poster awards committee:
|P1||Di Chai, Leye Wang and Qiang Yang||Bike Flow Prediction with Multi-Graph Convolutional Networks|
|P2||Moustafa Youssef, Heba Abdelnasir, Patrick Robertson, Maria Puyol, Etienne Le Grand and Luigi Bruno||Lighthouse: Enabling Landmark-based Accurate and Robust Next Generation Indoor LBSs on a Worldwide Scale|
|P3||Theodoros Chondrogiannis, Panagiotis Bouros, Johann Gamper, Ulf Leser and David B. Blumenthal||Finding k-Dissimilar Paths with Minimum Collective Length|
|P4||Wojciech Czaja, Neil Fendley, Michael Pekala, Christopher Ratto and I-Jeng Wang||Adversarial Examples in Remote Sensing|
|P5||Gregory Kritzman and Torsten Hahmann||Computing Commonsense Cardinal Direction Relations|
|P6||Reaz Uddin, Chinya Ravishankar and Vassilis Tsotras||Indexing Moving Object Trajectories With Hilbert Curves|
|P7||Jamyoung Koo, Junghoon Seo, Seunghyun Jeon, Jeongyeol Choe and Taegyun Jeon||RBox-CNN: Rotated Bounding Box based CNN for Ship Detection in Remote Sensing Image|
|P8||Rade Stanojevic, Sofiane Abbar and Mohamed Mokbel||W-edge: weighing the edges of the road network|
|P9||Padraig Corcoran and Christopher Jones||Robust Tracking of Objects with Dynamic Topology|
|P10||Alberto Belussi, Sara Migliorini and Ahmed Eldawy||Detecting Skewness of Big Spatial Data in SpatialHadoop|
|P11||Ramesh Baral, Sitharama Iyengar and Tao Li||HiCaPS: Hierarchical Context-aware Point of Interest Recommendation|
|P12||Yanbo Pang, Kota Tsubouchi, Takahiro Yabe and Yoshihide Sekimoto||Replicating Urban Dynamics by Generating Human-like Agents from Smartphone GPS Data|
|P13||Willem Sonke, Marc van Kreveld, Tim Ophelders, Bettina Speckmann and Kevin Verbeek||Volume-based Similarity of Linear Features on Terrains|
|P14||Chaluka Salgado, Muhammad Aamir Cheema and David Taniar||An Efficient Approximation Algorithm for Multi-criteria Indoor Route Planning Queries|
|P15||Rohit Verma, Gyanesha Prajjwal, Bivas Mitra and Sandip Chakraborty||Mining Spatio-temporal Data for Computing Driver Stress and Observing Its Effects on Driving Behavior|
|P16||Camille Bernard, Christine Plumejeaud-Perreau, Marlene Villanova-Oliver, Jerome Gensel and Hy Dao||An Ontology-based Algorithm for Managing the Evolution of Multi-Level Territorial Partitions|
|P17||Lukas Rottkamp and Matthias Schubert||A Time-Inhomogenous Markov Model for Resource Availability under sparse Observations|
|P18||Ashwin Shashidharan, Ranga Raju Vatsavai and Ross Meentemeyer||FUTURES-DPE: Towards Dynamic Provisioning and Execution of Geosimulations in HPC environments|
|P19||Zhenhua Zhang, Leon Stenneth, Ram Marappan, Zaba Sebastian and Philip S. Yu||Beyond the traffic sign recognition: constructing an auto-pilot map for autonomous vehicles|
|P20||Eric He, Fan Bai, Vijayakumar Bhagavatula and Curtis Hay||Signal Reconstruction Approach for Map Inference from Crowd-Sourced GPS Traces|
|P21||Hong Van Le and Atsuhiro Takasu||Parallelizing Top-k Frequent Spatiotemporal Terms Computation on Key-Value Stores|
|P22||Hannah Bast and Patrick Brosi||Sparse Map-Matching in Public Transit Networks with Turn Restrictions|
|P23||Ting Shen, Haiquan Chen and Wei-Shinn Ku||Time-aware Location Sequence Recommendation for Cold-start Mobile Users|
|P24||Thomas C.Van Dijk and Dieter Lutz||Realtime linear cartograms and metro maps|
|P25||Ohriniuc Roxana, Reich Aaron and Kwangsoo Yang||Coverage Constrained Spatial CO-clustering: A Summary of Results|
|P26||Maria Patrou, Md Mahbub Alam, Puya Memarzia, Suprio Ray, Virendra Bhavsar, Kenneth Kent and Gerhard Dueck||DISTIL: A Distributed In-Memory Data Processing System for Location-Based Services|
|P27||Aaron Reich, Roxana Ohriniuc and Kwangsoo Yang||Size Constrained k Simple Polygons: A Summary of Results|
|P28||Masamichi Shimosaka, Takeshi Tsukiji, Hideyuki Wada and Kota Tsubouchi||Predictive Population Behavior Analysis from Multiple Contexts with Multilinear Poisson Regression|
|P29||Zhongyu Liu, Xian Liu and John Femiani||Fine Scale Registration of Walking Paths and other Ribbon-like Features|
|P30||Rui Zhang, Kevin Stanley, Scott Bell and Daniel Fuller||A Feature Set for Spatial Behavior Characterization|
|P31||Zohreh Raghebi and Farnoush Banaei-Kashani||Probabilistic Reachability Query in Evolving Spatiotemporal Contact Networks of Moving Objects|
|P32||Hong Wei, Hao Zhou, Jagan Sankaranarayanan, Sudipta Sengupta and Hanan Samet||Detecting Latest Local Events from Geotagged Tweet Streams|
|P33||Camila Ferreira Costa and Mario A. Nascimento||In-Route Task Selection in Crowdsourcing|
|P34||Antonios Karatzoglou, Adrian Jablonski and Michael Beigl||A Seq2seq Learning Approach for Modeling Semantic Trajectories and Predicting the Next Location|
|P35||Tin Vu and Ahmed Eldawy||R-Grove: Growing a Family of R-trees in the Big-Data Forest|
|P36||Samriddhi Singla and Ahmed Eldawy||Distributed Zonal Statistics of Big Raster and Vector Data|
|P37||Yaron Kanza and Eliyahu Safra||Cryptotransport on a Blockchain: Anonymity, Location Privacy and Trust—Can You Have Them All?|
|P38||Roozbeh Ketabi, Babak Alipour and Ahmed Helmy||Playing with Matches; Vehicular Mobility through Analysis of Trip Similarity and Matching|
|P39||Biswas Parajuli, Piyush Kumar, Tathagata Mukherjee, Eduardo Pasiliao and Sachin Jambawalikar||Fusion of Aerial Lidar and Images for Road Segmentation with Deep CNN|
|P40||Shakila Khan Rumi, Ke Deng and Flora Salim||Theft Prediction with Individual Risk Factor of Visitors|
B) Demo Numbers: Please use the following number information on both your slides and your posters in order to simplify the work of the demo awards committee:
|D1||Ugur Cayoglu, Jennifer Schröter, Jörg Meyer, Achim Streit and Peter Braesicke||Modular Software Framework for Compression of Structured Environmental Data (Demo Paper)|
|D2||Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang and Cyrus Shahabi||Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper)|
|D3||Thibaud Merien, Xavier Bellekens, David Brosset and Christophe Claramunt||A Spatio-temporal Entropy-based Approach for the Analysis of Cyber Attacks|
|D4||András Komáromy and Paras Mehta||LocXplore: A System for Profiling Urban Regions (Demo)|
|D5||Oscar Correa, Egemen Tanin, Lars Kulik and Ramamohanarao Kotagiri||Activity-Based Ride-Sharing in Action (Demo Paper)|
|D6||Florian Barth, Stefan Funke and Sabine Storandt||CYCLOPS: CYCLe route Options Planning Service|
|D7||Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Lars Kulik, Rui Zhang, Jianzhong Qi and Kotagiri Ramamohanarao||Using SMARTS Simulator to Study Transportation Problems (Demo Paper)|
|D8||Fatme Hachem and Maria Luisa Damiani||Periodic stops discovery through density-based trajectory segmentation (Demo Paper)|
|D9||Peter Baumann, Dimitar Misev, Vlad Merticariu, Bang Pham Huu and Brennan Bell||rasdaman: Datacubes on Steroids|
|D10||Myles Haynes, Abdeltawab Hendawi and Mohamed Ali||Pine: A System For Crowdsourced Spatial Data Source Discovery While Map Browsing|
|D11||Ove Andersen and Kristian Torp||Dynamic Spatio-temporal Integration of Traffic Accident Data|
|D12||Hong Wei, Riccardo Fellegara, Leila De Floriani and Hanan Samet||Multi-Level Filtering to Retrieve Similar Trajectories under the Frechet Distance (Demo Paper)|
|D13||Haoyi Xiu, Poliyapram Vinayaraj, Wanglin Yan, Ryosuke Nakamura and Kyoung-Sook Kim||3D Semantic Segmentation for High Resolution Aerial Survey Derived Point-clouds (RGB-DI) using Deep Learning|
|D14||Sina Rashidian, Xinyu Dong, Shubham Kumar Jain and Fusheng Wang||EaserGeocoder: Effective Scalable Integrative Geocoder|
Should your work be missing in this list, please contact the poster chairs as soon as possible.