Abstract is missing.
- A Day of Your Days: Estimating Individual Daily Journeys Using Mobile Data to Understand Urban FlowEduardo Graells-Garrido, Diego Sáez-Trumper. 1-7 [doi]
- Location History Knows What You Like: Estimation of User Preference from Daily Location MovementShinnosuke Wanaka, Kota Tsubouchi. 8-13 [doi]
- Crowd GeofencingShin'ichi Konomi, Tomoyo Sasao. 14-17 [doi]
- Defining Rules Among Devices in Smart Environment Using an Augmented Reality HeadsetHeonjin Park, Kyle Koh, Yuri Choi, Han Joo Chae, Jeongin Hwang, Jinwook Seo. 18-21 [doi]
- Guns of Brixton: which London neighborhoods host gang activity?Alessandro Venerandi, Giovanni Quattrone, Licia Capra. 22-28 [doi]
- Understanding the Impact of Geographical Context on Subjective Well-Being of Urban CitizensAfra J. Mashhadi, Sourav Bhattacharya, Fahim Kawsar. 29-35 [doi]
- Urban Anomaly Detection: a Use-Case for Participatory Infra-Structure MonitoringJulio De Melo Borges, Till Riedel, Michael Beigl. 36-38 [doi]
- A Context-Aware Recommender System Framework for IoT based Interactive Digital Signage in Urban SpaceMengru Tu, Yi-Kuo Chang, Yi-Tan Chen. 39-42 [doi]
- Where is the Money Made? An Interactive Visualization of Profitable Areas in New York CityKeven Richly, Ralf Teusner. 43-46 [doi]
- City Happenings into Wikipedia Category: Classifying Urban Events by Combining Analyses of Location-based Social Networks and WikipediaShoya Sato, Takuro Yonezawa, Jin Nakazawa, Satoshi Kawasaki, Ken Ohta, Hiroshi Inamura, Hideyuki Tokuda. 47-52 [doi]
- Weaving Urban Spaces through Visible Green to Increase the Awareness of Green NetworksKazuki Wakasa, Shin'ichi Konomi. 53-56 [doi]
- Where Are You Talking From?: Estimating the Location of tweets Using Recurrent Neural NetworksMakoto Kawano, Kazuhiro Ueda. 57-60 [doi]
- Decision Tree Analysis of Tourists' Preferences Regarding Tourist Attractions Using Geotag Data from Social MediaTakashi Nicholas Maeda, Mitsuo Yoshida, Fujio Toriumi, Hirotada Ohashi. 61-64 [doi]
- EstaVis: A Real-World Interactive Platform for Crowdsourced Visual Urban AnalyticsJulio De Melo Borges, Matthias Budde, Oleg Peters, Till Riedel, Andrea Schankin, Michael Beigl. 65-70 [doi]
- "...when you're a Stranger": Evaluating Safety Perceptions of (un)familiar Urban PlacesMartin Traunmueller, Paul Marshall, Licia Capra. 71-77 [doi]
- DevOps for the Urban IoTJohn Moore, Gerd Kortuem, Andrew Smith, Niaz Chowdhury, Jose Cavero, Daniel Gooch. 78-81 [doi]
- Private Rendezvous-based Calibration of Low-Cost Sensors for Participatory Environmental SensingJan-Frederic Markert, Matthias Budde, Gregor Schindler, Markus Klug, Michael Beigl. 82-85 [doi]
- BlueParking: An IoT based Parking Reservation Service for Smart CitiesMohammad Amin, Ryoma Kawaguchi, Navid Shirmohammad, Masaaki Sato. 86-88 [doi]
- Clustering for Road Damage Locations Obtained by Smartphone AccelerometersJunji Takahashi, Daichi Shioiri, Yuki Shida, Yusuke Kobana, Ryuji Suzuki, Yuto Kobayashi, Naoya Isoyama, Guillaume Lopez, Yoshito Tobe. 89-91 [doi]
- Dynamic Polling Algorithm for Low Energy Garbage Level Measurement in Smart Trash BinSlamet Kristanto, Takeshi Yashiro, Noboru Koshizuka, Ken Sakamura. 92-94 [doi]
- Clustering for collaborative processing in IoT networkJ. Sathish Kumar, Mukesh A. Zaveri. 95-97 [doi]
- Spatial Behaviors of Individuals in Cities: Case Studies in Data Tracking and ScalingLynnette Widder, Joy Ko, Jessie Braden, Kyle Steinfeld. 98-101 [doi]
- How to Build Infrastructureless Information-Centric Wireless Spaces using Autonomous HubsMarat Zhanikeev. 102-104 [doi]
- Communal Parameters: A Study into Using Community-wide Learned Prediction Models in Individual UsersDunstan Matekenya, Masaki Ito, Werner Creixell, Ryosuke Shibasaki, Kaoru Sezaki. 105-107 [doi]
- Localization for Collaborative Processing in the Internet of Things FrameworkSaurabh K. Pandey, Mukesh A. Zaveri. 108-110 [doi]
- An Easy Infrastructure Management Method Using On-Board Smartphone Images and Citizen Reports by Deep Neural NetworkHiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto. 111-113 [doi]