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ORCID21st MDM 2020: Versailles, France
- 21st IEEE International Conference on Mobile Data Management, MDM 2020, Versailles, France, June 30 - July 3, 2020. IEEE 2020, ISBN 978-1-7281-4663-8
Panel
- Demetrios Zeinalipour-Yazti, Christophe Claramunt:
COVID-19 Mobile Contact Tracing Apps (MCTA): A Digital Vaccine or a Privacy Demolition? 1-4
Advanced Seminar
- Andreas Züfle, Goce Trajcevski, Dieter Pfoser, Joon-Seok Kim:
Managing Uncertainty in Evolving Geo-Spatial Data. 5-8
Research Track
Research Session 1: Fingerprint Positioning
- Paolo Gallo, Donatella Gubiani, Angelo Montanari, Nicola Saccomanno
:
A new similarity measure for low-sampling cellular fingerprint trajectories. 9-18 - Jinhua Lv, Yige Zhang, Weixiong Rao, Jiehua Chen, Xiaofeng Hu, Qinglin Chen:
IFLoc: Indoor Height Estimation by Telco Data. 19-28
Research Session 2: Privacy and Trust
- Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa:
Money Cannot Buy Everything: Trading Mobile Data with Controllable Privacy Loss. 29-38 - Ed Novak, Phyo Thuta Aung, Thu Do:
VPN+ Towards Detection and Remediation of Information Leakage on Smartphones. 39-48 - Ayan Roy, Sanjay Madria:
Distributed Incentive-Based Secured Traffic Monitoring in VANETs. 49-58
Research Session 3: Path Planning
- Francesco Lettich, Mario A. Nascimento, Samiul Anwar:
Trade-off Aware Sequenced Routing Queries (or OSR Queries when POIs are not Free). 59-68 - Xu Teng, Goce Trajcevski, Joon-Seok Kim, Andreas Züfle:
Semantically Diverse Path Search. 69-78 - Sofiane Abbar, Rade Stanojevic, Mohamed F. Mokbel:
STAD: Spatio-Temporal Adjustment of Traffic-Oblivious Travel-Time Estimation. 79-88
Research Session 4: Mobile Data Analytics
- Riccardo Guidotti, Mirco Nanni:
Crash Prediction and Risk Assessment with Individual Mobility Networks. 89-98 - Ticiana L. Coelho da Silva, Francesco Lettich, José Antônio Fernandes de Macêdo, Karine Zeitouni, Marco A. Casanova:
Online Clustering of Trajectories in Road Networks. 99-108 - Saim Mehmood, Manos Papagelis:
Learning Semantic Relationships of Geographical Areas based on Trajectories. 109-118
Research Session 5: Short Papers
- Madhumita Mallick, Niloy Ganguly, Suparna Bhattacharya:
GradeSense: Gradation Aware Storage for Robust Activity Recognition in a Multimodal Smarthome. 119-124 - Luca Arrotta, Claudio Bettini, Gabriele Civitarese, Riccardo Presotto:
Context-Aware Data Association for Multi-Inhabitant Sensor-Based Activity Recognition. 125-130 - Hassan Noureddine, Cyril Ray, Christophe Claramunt:
Semantic Trajectory Modelling in Indoor and Outdoor Spaces. 131-136
Research Session 6: Machine Learning on Mobile Devices
- Jimin Tan, Anastasios Noulas, Diego Sáez, Rossano Schifanella:
Notable Site Recognition using Deep Learning on Mobile and Crowd-sourced Imagery. 137-147 - Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu, Wen-Chih Peng:
Probabilistic Value Selection for Space Efficient Model. 148-157
Research Session 7: Location-Based Social Networks
- Joon-Seok Kim, Hyunjee Jin, Hamdi Kavak, Ovi Chris Rouly, Andrew T. Crooks, Dieter Pfoser, Carola Wenk, Andreas Züfle:
Location-Based Social Network Data Generation Based on Patterns of Life. 158-167 - Laurens Arp, Dyon van Vreumingen, Daniela Gawehns, Mitra Baratchi:
Dynamic macro scale traffic flow optimisation using crowd-sourced urban movement data. 168-177
Industry Track
Industrial Session 1
- Abdeltawab M. Hendawi, James Shen, Sree Sindhu Sabbineni, Yaxiao Song, Peiwei Cao, Zhihong Zhang, John Krumm, Mohamed H. Ali:
Noise Patterns in GPS Trajectories. 178-185 - Md Yasin Kabir, Sergey Gruzdev, Sanjay Madria:
STIMULATE: A System for Real-time Information Acquisition and Learning for Disaster Management. 186-193
Industrial Session 2
- Dumindu Madithiyagasthenna, Prem Prakash Jayaraman, Ahsan Morshed, Abdur Rahim Mohammad Forkan, Dimitrios Georgakopoulos, Yong-Bin Kang, Mirek Piechowski:
A solution for annotating sensor data streams - An industrial use case in building management system. 194-201 - Chih-Yao Chang, Xing Tang, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin:
AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. 202-209 - Tianxiang Qin, Tong Liu, Hexiang Wu, Weiqin Tong, Shimin Zhao:
RESGCN: RESidual Graph Convolutional Network based Free Dock Prediction in Bike Sharing System. 210-217 - Paschalis Mpeis, Thierry Roussel, Manish Kumar, Constantinos Costa, Christos Laoudias, Denis Capot-Ray, Demetrios Zeinalipour-Yazti:
The Anyplace 4.0 IoT Localization Architecture. 218-225
Demo Track
- Louai Alarabi, Mohamed F. Mokbel:
A Demonstration of Summit: a Scalable Data Management Framework for Massive Trajectory. 226-227 - Xieyang Wang, Jianqiu Xu, Yaxin Wang:
NLMO: Towards a Natural Language Tool for Querying Moving Objects. 228-229 - Constantinos Costa, Xiaoyu Ge, Evan McEllhenney, Evan Kebler, Panos K. Chrysanthis, Demetrios Zeinalipour-Yazti:
CAPRIOv2.0: A Context-Aware Unified Indoor-Outdoor Path Recommendation System. 230-231 - Cécile Cayèré, Cyril Faucher, Christian Sallaberry, Marie-Noëlle Bessagnet, Philippe Roose:
Tools for processing digital trajectories of tourists. 232-233 - Sabrina Friedl, Sebastian Schmoll, Felix Borutta, Matthias Schubert:
SMART-Env. 234-235 - Razvan-Gabriel Cirstea, Hilmar Gústafsson, Rasmus Riis Grønbæk Pedersen, Rolf Hakon Verder Sehested, Tamas Imre Winkler, Bin Yang:
A Road Segment Attribute Completion System. 236-237 - Mohamed S. Bakli, Mahmoud Attia Sakr, Esteban Zimányi:
Distributed Mobility Data Management in MobilityDB. 238-239 - Abdullah Islam, Abdeltawab M. Hendawi, Mohamed H. Ali:
Managing Moving Objects With Imprecise Location. 240-241 - Nicolaj Casanova Abildgaard, Casper Weiss Bang, Jonas Hansen, Tobias Lambek Jacobsen, Thomas Højriis Knudsen, Nichlas Ørts Lisby, Chenjuan Guo, Bin Yang:
A Correlated Time Series Forecast System. 242-243
PhD Workshop
- Panagiotis Tampakis:
Big Mobility Data Analytics: Algorithms and Techniques for Efficient Trajectory Clustering. 244-245 - Hafsa El Hafyani:
Big Data Series Analytics in the Context of Environmental Crowd Sensing. 246-247 - Aamir Shoeb Alam Khan, Imad Afyouni, Zaher Al Aghbari:
A Big Data Platform For Spatio-Temporal Social Event Discovery. 248-249 - Hassan Noureddine:
Modelling, Managing and Processing of Mobility Data in Urban Environment. 250-251
MBDW'20 Workshop
- Anita Graser, Melitta Dragaschnig, Peter Widhalm, Hannes Koller, Norbert Brändle:
Exploratory Trajectory Analysis for Massive Historical AIS Datasets. 252-257 - Dejan Stepec, Tomaz Martincic, Fabrice Klein, Daniel Vladusic, João Pita Costa:
Machine Learning based System for Vessel Turnaround Time Prediction. 258-263 - Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet:
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. 264-268 - Christiaan Neil Burger, Trienko Lups Grobler, Waldo Kleynhans:
Discrete Kalman Filter and Linear Regression Comparison for Vessel Coordinate Prediction. 269-274 - Panagiotis Tampakis, Eva Chondrodima, Aggelos Pikrakis, Yannis Theodoridis, Kostis Pristouris, Harry Nakos, Eleni Petra, Theodore Dalamagas, Andreas Kandiros, Georgios Markakis, Irida Maina, Stefanos Kavadas:
Sea Area Monitoring and Analysis of Fishing Vessels Activity: The i4sea Big Data Platform. 275-280 - Giannis Fikioris, Kostas Patroumpas, Alexander Artikis:
Optimizing Vessel Trajectory Compression. 281-286 - Gianandrea Mannarini, Lorenzo Carelli, Amal Salhi:
EU-MRV: an analysis of 2018's Ro-Pax CO2 data. 287-292 - Alexandros Troupiotis-Kapeliaris, Konstantinos Chatzikokolakis, Dimitris Zissis, Elias Alevizos:
Experimental Comparison of Complex Event Processing Systems in the Maritime Domain. 293-298 - Valerio Fontana, José Manuel Delgado Blasco, Andrea Cavallini, Nicola Lorusso, Alessandro Scremin, Antonio Romeo:
Artificial intelligence technologies for Maritime Surveillance applications. 299-303
Mobisocial'20 Workshop
- Shinya Yamada, Shohei Yamasaki, Tomoya Okuno, Kei Harada, Yuya Sasaki, Makoto Onizuka:
Are Satellite Images Effective for Estimating Land Prices on Deep Neural Network Models? 304-309 - Sheng-Ting Chien, Fandel Lin, Chiunghui Tsai, Hsun-Ping Hsieh:
An Efficient Method for Recommending Branch Locations to Reduce the Transportation Distance between Stations and Urban Events. 310-315 - Cheng-Ta Yang, Yi-Ling Chen:
DACNN: Dynamic Weighted Attention with Multi-channel Convolutional Neural Network for Emotion Recognition. 316-321 - Chieh-Ming Liaw, Bi-Ru Dai:
Live Stream Highlight Detection Using Chat Messages. 328-332 - Ming-Yi Chang, Chih-Ying Tseng:
Detecting Social Anxiety with Online Social Network Data. 333-336 - Yi-Hui Chen, Eric Jui-Lin Lu, Sheng-Chia Lin:
Ontology-based Dynamic Semantic Annotation for Social Image Retrieval. 337-341 - Peng-Rong Tsou, Cheng-En Wu, Yen-Ru Chen, Yun-Ting Ho, Jun-Kai Chang, Hsiao-Ping Tsai:
Counting People by Using Convolutional Neural Network and A PIR Array. 342-347
3SCity-E2C'20 Workshop
- Torbjørn Kirkevik Soltvedt, Amir Sinaeepourfard, Dirk Ahlers:
A Cost Model for Data Discovery in Large-Scale IoT Networks of Smart Cities. 348-353 - Phu Hong Nguyen, Åsmund Hugo, Karl Svantorp, Bjørn Magne Elnes:
Towards a Simulation Framework for Edge-to-Cloud Orchestration in C-ITS. 354-358 - Antonio Salis, Jens Jensen:
A smart fog-to-cloud system in airport: challenges and lessons learnt. 359-364 - Jaro Robberechts, Amir Sinaeepourfard, Tom Goethals, Bruno Volckaert:
A Novel Edge-to-Cloud-as-a-Service (E2CaaS) Model for Building Software Services in Smart Cities. 365-370 - Åsmund Hugo, Brice Morin, Karl Svantorp:
Bridging MQTT and Kafka to support C-ITS: a feasibility study. 371-376 - Zhizhou Duan, Yuan Gao, Jun Feng, Xiaoxi Zhang, Jie Wang:
Personalized tourism route recommendation based on user's active interests*. 729-734
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