PPT-Location-Aware Sensing

in Smart Networks João Pedro Gomes Pinar Oguz Ekim João Xavier Paulo Oliveira Institute for Systems and Robotics LA Instituto Superior Técnico Outline. Markus Aittola 1 , Tapio Ryh Jie. . Bao. Mohamed F. . Mokbel. Chi-Yin Chow. Department of Computer Science and Engineering. University of Minnesota – Twin Cities. Department of Computer Science. City University of Hong Kong. Moquan Chen & Stian Kilaas. Introduction. Context-aware communication: the way a user is contacted depends on his/her context. This article examines projects and gives them points on a context-aware vs. autonomous actions graph. Using . Sparse Geo-Social Networking Data. . Department of Computer Science &Engineering. University of Minnesota. . Microsoft. Research Asia. Beijing,. China. Jie. . Bao. . Yu . P. Michel, J. . Chestnutt. , J. . Kuffner. , T. . Kanade. Carnegie Mellon University – Robotics Institute. Humanoids 2005. Objective. Paper presents . a vision- based footstep planning system that computes the best partial footstep path within its time-limited search horizon, according to problem-specific cost metrics and heuristics.. Jie. . Bao. Mohamed F. . Mokbel. Chi-Yin Chow. Department of Computer Science and Engineering. University of Minnesota – Twin Cities. Department of Computer Science. City University of Hong Kong. P. Michel, J. . Chestnutt. , J. . Kuffner. , T. . Kanade. Carnegie Mellon University – Robotics Institute. Humanoids 2005. Objective. Paper presents a vision- based footstep planning system that computes the best partial footstep path within its time-limited search horizon, according to problem-specific cost metrics and heuristics.. Assessment of Wood Attributes using Remote . Sensing. 1. Context for the Proposal. Resource assessment in the forest sector is a critical component of sustainable forest management . New technologies and tools are always required to grow improved wood fibre, quantify it and make better management decisions. to Collect Mobile Data. While Preventing Duplication. Junggab . Son*, . Donghyun . Kim. *, . Rasheed . Hussain**, . Sung-Sik Kwon*, . Alade O. . Tokuta*, . and . Jungtaek. . Seo***. *. Department of Mathematics and Physics, North Carolina Central University, Durham, NC, USA. Authors: . Manoop. . Talasila. , Reza Curtmola, and Cristian . Borcea. Presenter: . Hillol. . Debnath. Department . of Computer Science. New Jersey Institute of . Technology. Crowd. Sensing. Background – Crowd Sensing. Location-based Services 2.0. Mohamed F. . Mokbel. Department of Computer Science and Engineering. University of Minnesota. www.cs.umn.edu/~mokbel. mokbel@cs.umn.edu. Location-based Services. Many people like to use these advanced technologies and devices. Indoor Location Recognition Technology CORE TECHNOLOGY I 2Role of location information in UbiCompWhat is 147aware applications150Importance of location information2Location recognition technology150Ta for 360-Degree Video Streaming. . Zhetao. Li . Fei . Gui. . Xiangtan University . Jinkun. . Geng. Dan Li . Tsinghua University . Zhibo. Wang . Wuhan University . What we’re going to cover tonight. Background to the survey. Who we are. Why we come. How we interact. What we could be. Some big questions. What’s next. Background to the Survey. TYC is now more than 40 years young.