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Using Local Inference in Massively Distributed Systems
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Future and Emerging Technologies). Under grant no. 255951. LIFT - Using Local Inference in Massively Distributed Systems. As the scale of today’s networked techno-social systems continues to increase, the analysis of their global phenomena becomes increasingly difficult, due to the continuous production of streams of data scattered among distributed, possibly resource-constrained nodes, and requiring reliable resolution in (near) real-time. The book chapter Mobility Profiling by M. Nanny.
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Future and Emerging Technologies). Under grant no. 255951. LIFT - Using Local Inference in Massively Distributed Systems. As the scale of today’s networked techno-social systems continues to increase, the analysis of their global phenomena becomes increasingly difficult, due to the continuous production of streams of data scattered among distributed, possibly resource-constrained nodes, and requiring reliable resolution in (near) real-time. The book chapter Mobility Profiling by M. Nanny.
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Future and Emerging Technologies). Under grant no. 255951. LIFT - Using Local Inference in Massively Distributed Systems. As the scale of today’s networked techno-social systems continues to increase, the analysis of their global phenomena becomes increasingly difficult, due to the continuous production of streams of data scattered among distributed, possibly resource-constrained nodes, and requiring reliable resolution in (near) real-time. The book chapter Mobility Profiling by M. Nanny.
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Future and Emerging Technologies). Under grant no. 255951. LIFT - Using Local Inference in Massively Distributed Systems. As the scale of today’s networked techno-social systems continues to increase, the analysis of their global phenomena becomes increasingly difficult, due to the continuous production of streams of data scattered among distributed, possibly resource-constrained nodes, and requiring reliable resolution in (near) real-time. The book chapter Mobility Profiling by M. Nanny.
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Future and Emerging Technologies). Under grant no. 255951. LIFT - Using Local Inference in Massively Distributed Systems. As the scale of today’s networked techno-social systems continues to increase, the analysis of their global phenomena becomes increasingly difficult, due to the continuous production of streams of data scattered among distributed, possibly resource-constrained nodes, and requiring reliable resolution in (near) real-time. The book chapter Mobility Profiling by M. Nanny.
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Program | MODAP
http://mss2012.modap.org/program
There are two kinds of lectures, the lectures hold by invited speakers and Modap lectures by people of the consortium. 1 Trust Networks and Reality Mining. MIT- Cambridge MA - US). 2 Legal and ethical challenges for the knowledge society. Member of Law Science Technology and Society (LSTS) at Vrije Universiteit Brussel, Belgium). 3 Models of social complexity. ETHZ, Switzerland, Dino Pedreschi, University of Pisa, Italy). 4 Trust and Privacy enhancing technologies. Uni Insubria, Italy). 11:00 - 12:30 MOD...
Privacy-Aware Social Mining | MODAP
http://mss2012.modap.org/home
One concern that is extremely important when dealing with human mobility tracks is privacy. To what extent can we develop techniques that guarantee no disclosure of sensitive information to unauthorized persons? How can the new techniques cope with the fact that the level of sensitivity of information may depend on many different factors, including where and when the information is accessed, whose information it is, and who is requesting access. To go to the members are of the 2nd MODAP-MOVE Summer School.
Committees | MODAP
http://mss2012.modap.org/committees
Gennady Andrienko, Fraunhofer IAIS, Germany. Maria Luisa Damiani, University of Milan, Italy (Co-Program Chair). Josep Domingo-Ferrer, University of Rovira i Virgili, Catalonia, Spain. Fosca Giannotti, ISTI/CNR, Italy (Co-Program Chair). Dimitrios Gunopulos, University of Athens, Greece. Bart Kuijpers, Hasselt University., Belgium. Katharina Morik, University of Dortmund, Germany. Christine Parent, University of Lausanne, Switzerland (Organizing Co-Chair). Chiara Renso, CNR, Italy (SEEK coordinator).
Dates and Venue | MODAP
http://mss2012.modap.org/dates-and-venue
Deadline for grant application: April 25, 2012 (Student applications are closed). Grant notification: May 4, 2012. Deadline for registration: May 15, 2012. Summer school starts: July 1st, 2012. Summer school ends: July 6, 2012. The venue for this event is Leysin, a mountain village and resort in the Swiss Alps, close to the Lake of Geneva: http:/ www.leysin.ch/en/. For activities in Leysin see http:/ www.leysin.ch/en/sport leisure/activities/summer. Zürich airport is 240 km from Leysin. From Geneva Airpo...
Organization | MODAP
http://mss2012.modap.org/organization
The 2nd Summer School on Mobility, Data Mining, and Privacy is co-organized by the FP7/ICT project MODAP Mobility, Data Mining and Privacy. And the COST Action IC0903 MOVE Knowledge Discovery from Moving Objects". It is also supported by the FP7/Marie Curie project SEEK and by CUSO, a coordination body for western Switzerland universities. To benefit from optimal training conditions, the school is based on limited attendance. Please send your application form as soon as possible. Please send an email to ...
Speakers | MODAP
http://mss2012.modap.org/speakers
Prof Alex `Sandy’ Pentland. Is a pioneer in computational social science, organizational engineering, and mobile information systems. He directs the MIT Human Dynamics Lab, developing computational social science and using this new science to guide organizational engineering. He also directs the Media Lab Entrepreneurship Program, spinning off companies to bring MIT technologies into the real world. He is among the most-cited computer scientists in the world. Received the MSc and PhD degrees in Computer ...
Grants | MODAP
http://mss2012.modap.org/grants
A number of grants are available to facilitate the participation of students to the Summer School. Some of these grants are specifically for students of the following institutions: UNIL, EPFL, UniNe, UniFr, UniGe, UniBe. Eligibility for the other grants is open to all PhD students and young postdocs. Students soliciting a grant have to fill all items in the student application form. To go to the members are of the 2nd MODAP-MOVE Summer School. If you want to join MODAP Community.
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Lifter - Zarządzanie serwisem urządzeń dzwigowych :: Home
Nowoczesne zarządzanie serwisem dźwigów. Call center, monitoring bieżącej pracy urządzeń, zgłoszenia serwisowe, obsługa przeglądów okresowych, harmonogram pracy, monitoring GPS pracowników, monitoring video kabiny. Aplikacja Mobilna dla konserwatorów. Elastycznym elementem systemu Lifte-ER jest aplikacja mobilna umożliwiająca błyskawiczny kontakt z serwisantem. Mobilny dostęp do systemu zwiększa szybkość oraz precyzję działania zespołu serwisowego. Wsparcie normy EN 81-28, logowanie połączeń kontrolnych,...
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Future and Emerging Technologies). Under grant no. 255951. LIFT - Using Local Inference in Massively Distributed Systems. As the scale of today’s networked techno-social systems continues to increase, the analysis of their global phenomena becomes increasingly difficult, due to the continuous production of streams of data scattered among distributed, possibly resource-constrained nodes, and requiring reliable resolution in (near) real-time. The book chapter Mobility Profiling by M. Nanny.
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