PPT-Emerging Ubiquitous Knowledge Services: From Mobile Sensing

Uichin Lee Howon Lee Bang Chul Jung Junehwa Song KAIST Knowledge Service Engineering KAIST Institute ICT Kyungsang University KAIST Computer Science. Most areas of computer science research such as programming language imple mentation distributed operating system design or de notational semantics are de64257ned largely by technical problems and driven by building upon and elaborating a body of pa Timothy W. Hnat. , Vijay . Shrinivasan. , . Jiakang. Lu, . Tamim. I. . Sookoor. , Raymond Dawson, John . Stankovic. , and . Kamin. Whitehouse. 1. Sensing in Homes. 2. Medical. Monitoring. Home. Automation. Application Development for Smart Devices. Mobile . Crowdsensing. Current State . and Future . Challenges. Mobile . Crowdsensing. .. Overview of . Crowdsensing. applications.. MCS: . Unique Characteristics . Mobile applications. Mobile applications have been a domain for recommendation. small display sizes and space limitations. naturally require personalized information. Since the end of the 1990s, research into mobile applications has focused heavily on adaptivity. Hwang, . Dongbum. Patrick Poncet . & Blandine Ripert, Geojournal 2007. Contents. Motivation. Approach. The fractured . space. Fluctuating . geometric beside . space and another angle. ITC . urban space . Regulatory Issues & Judicial Developments. SHAH MURAD. Assistant Professor - Law . Federal Urdu University of Arts, Sciences and Technology (FUUAST), Karachi, Pakistan. Email: . shahmurad@live.com. An Introduction and Survey of Applications. Objectives. Description of theory. Discussion of important results. Study of relevant applications. Introduction to the Problem. CS is a new paradigm that makes possible fast acquisition of data using few number of samples. mmWave. sensing to mobile devices. Reusing 60 GHz mobile devices for gesture recognition, localization/tracking, and imaging. 2. Isn’t this the same as radar? No.. New opportunities: reusing mobile . The Shinny Penny. 1. What can running a program with this vendor tell me about my brand?. What’s everyone talking about?. Should I do a Test & Learn?. Will it be effective?. How much work is involved?. Depraved . Emend . Enervate . Esoteric . Fecund. Fiat. Figment. Garner. Hallow. Idiosyncrasy. Ignominy. Malediction. Mundane. Nuance. Overweening. Penchant. Reputed. Sophistry. Sumptuous. Ubiquitous . Michael Ruffing. CS 495. Paper Info. Published in September 2010. Dartmouth College – joint effort between graduate students and professors (Mobile Sensing Group). Outline . Current Mobile Phone Sensing. Ann van . Griensven. & . Hichem. . Sahli. Vrije. . Universiteit. . Brussel. Toward. an. Open. Resources. Using. Services. Torus project meeting, June 6-10, Ferrara, Italy. 3 full time professors / 3 part-time professors (10%). Corresponding author (phil.teillet@ccrs.nrcan.gc.ca). 1. INTRODUCTION Over the next few years, the nature of remote and in situsensing and their relationship with the Internet will change drastically Zoonoses. . Emerging Zoonoses. . According to the WHO emerging . zoonoses. is "a . zoonosis. that is . newly recognized . or . newly evolved. , or that has occurred previously but shows an increase in incidence or expansion in geographical, host or vector range”.