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LaCoMoCo

LaCoMoCo. Laboratory for Context-dependent Mobile Communication Lars Birkedal The IT University of Copenhagen. LaCoMoCo. Context: any information that characterizes a situation related to the interaction between users, applications, and the surrounding environment

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LaCoMoCo

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  1. LaCoMoCo Laboratory for Context-dependent Mobile Communication Lars Birkedal The IT University of Copenhagen

  2. LaCoMoCo • Context: any information that characterizes a situation related to the interaction between users, applications, and the surrounding environment • Key concept in ubiquitous / pervasive computing • Weiser 1991: two most crucial issues for realizing potential of ubiquitous computing: location and scale http://lacomoco.itu.dk/

  3. LaCoMoCo: Aim • Create a large-scale laboratory in which we can study how to best provide and make use of location and other context information, as a crucial step toward realizing the potential of ubiquitous computing http://lacomoco.itu.dk/

  4. Research activities BPL LBS LBSIS LBG AIFAIS HPCD Partners TDC Mobility Lab GEOvision Nokia Crossroads Copenhagen Blip Systems M.Sc. theses M.Sc. courses M.Sc. projects Ph.D. courses Teaching activities LaCoMoCo Alexandra http://lacomoco.itu.dk/

  5. Crossroads Copenhagen • Network of private and public institutions and companies for culture, media, and communication technology • Partners: Nokia, DR, TDC, CSC, ITU, CBS, KUA, HP, Royal Library, Consumer Information, … • Common theme: context-dependent mobile communication http://lacomoco.itu.dk/

  6. Ørestad Nord Area: app. 500 m x 500 m (the grey area) People: app. 20.000 people will be visiting daily Buildings: 1.The Consumer Information 2. The University of Copenhagen 3. The Royal Library 4. Student Dormitories 5. Apartments 6. The IT University & Crossroads 7. The DR City (Danmarks Radio) 8. Project offices for the DR City http://lacomoco.itu.dk/

  7. Ørestad Nord: vision To equip the Ørestad Nord area with WLAN and make it a large scale Living Lab – a testbed for students, researchers and partners involved. http://lacomoco.itu.dk/

  8. Outline • Mobility Lab • Teaching Activities • Demonstrations • Research Projects http://lacomoco.itu.dk/

  9. Mobility Lab • 70m2, room 3A54 at ITU • Technological infrastructure for research and teaching • Integration activities • More info: mobilitylab.itu.dk http://lacomoco.itu.dk/

  10. WLAN positioning • installed Ekahau WLAN positioning system and implemented LaCoMoCo Web API • positioning via triangulations, based on received signal strengths (RSS): • calibration • device sends RSS to server, which calculates position using RSS + calibration info • precision: 1-2 meter • LaCoMoCo Web API: makes it possible to interact with the positioning server in a simple way (enabling students of all study lines to use it for projects) http://lacomoco.itu.dk/

  11. Bluetooth • 15 BlipNet bluetooth access points • services for pushing applications to the telephone via bluetooth • BlipNet course in December http://lacomoco.itu.dk/

  12. GSM positioning • eksperimental access to positioning information from the TDC GSM net • UTM coordinats for transmitter + RSS (received signal strength) • makes it possible for students to implement algorithms for outdoor positioning based on GSM http://lacomoco.itu.dk/

  13. Teaching activities • Courses • Java on Mobile Devices • Location-based Mobile Applications • Peer-2-peer storage systems • Model-based design of distributed and mobile systems • Mobile Systems Software • Mobile Business: Strategy, Technology and Marketing • Student Projects • More than 130 students worked on related projects http://lacomoco.itu.dk/

  14. Selected Demonstrations • Position Dependent Communication System • Disembodied Locationspecific Conversational Agents • ∙ s ∙ u ∙ c ∙ k ∙ e ∙ r ∙ - a locationbased multiplayer game • The Astrix Tag and Scan application • Rift World http://lacomoco.itu.dk/

  15. Some Research Projects in Value Chain • Technological Infrastructure • Bigraphical Programming Languages • LaCoMoCo Programming Platform • High-precision Positioning and Intrusion Detection • Services • Disembodied Loc.-specific Conversational Agents • Location-based Services in Industrial Settings • Location and Context Models • Location-based Gaming • Social and Cultural Implications • Use Patterns and Social Networks in CoMoCo • IT-surveillance and Management strategies http://lacomoco.itu.dk/

  16. Location and Context Models

  17. Location and context: two paradigms • Making location transparent: discounting for embodied action (‘anytime, anywhere’) • Making location visible: accounting for embodied action and interaction http://lacomoco.itu.dk/

  18. Location and context:why • Counteracting the obtrusiveness of handheld devices: Making devices elegantly adaptive to physical context, i.e., context-dependent • In many human practices, the physical location of people and things has significance: • Where is actor A right now? Is he where he’s supposed to be? Is he on time, or is he running late? • Where is subassembly F in the process? Is it ready for final assembly? http://lacomoco.itu.dk/

  19. Location and context • Projecting positional coordinates onto a map? Easy! The ‘location model’ already exists — in the form of a standard ‘projection’, a metric, various notations, and the data set. • Determining the significance of position information for other purposes is an entirely different problem. http://lacomoco.itu.dk/

  20. Location and context • Fact: Actor A is approaching location L… • But what does it mean? What is the significance? • For example: • If A is maintenance worker, • and L is the location of machine M, • and M has been reported defective, • and A is carrying his toolbox, • then remove M from current production plan … http://lacomoco.itu.dk/

  21. Some Research Challenges • Can we build a universal model? Hardly… • Do we have to build a particular context model for each application? That’s very cumbersome in the first place, and how do we make applications interoperate anyway? • Can we identify a (practically) finite set of contextual ‘primitives’ and rules of combination by means of which context models can be defined? A computational context notation? http://lacomoco.itu.dk/

  22. Possible primitives • location:: {coordinates (x, y, z); location; granularity; boundary criteria; time…} • vicinity:: {location; velocity; direction; topology…} • setting:: {infrastructure (location); artifact…} • artifact:: {location (nominal, actual); ownership; possession; function…} • environment:: {e.g., temperature; lighting; …} • activity:: {location; artifact; setting; schedule; state; status; history…} • actor:: {location; orientation; activity; role; responsibility…} • time:: {point in time; sequence; cycle; granularity…} • accountability:: {access rights; visibility of access…} • … http://lacomoco.itu.dk/

  23. Location and Context • For more information, contact • Peter Carstensen (carstensen@itu.dk) • Kjeld Schmidt (schmidt@itu.dk) http://lacomoco.itu.dk/

  24. High-precision positioning and Intrusion detection

  25. Multimodal wireless networks • Multiple functionalities but realized on the same infrastructure • E.g.: wireless network with two modes of operation • communication mode • surveillance mode (sensor network) http://lacomoco.itu.dk/

  26. Surveillance mode • Realized by analyzing the properties of the propagation environment (TOA, RSS, …) • Compute a “signature” of the environment and store it • Recompute signature – if significantly different from the stored signature, it is assumed that the disturbance is caused by an intruder, so cause alarm http://lacomoco.itu.dk/

  27. Experimental results • Using standard off the shelf components, 802.11b wireless cards • Two laptops in opposite rooms, wooden door in between: open / closed / half-open • Opening the door could always be observed, even with 10-5 probability of false alarm • Half-opening, 0.9975 probability of detection at 10-5 probability of false alarm http://lacomoco.itu.dk/

  28. High-precision positioning • Recall: calibration needed for Ekahau positioning system • Goal: develop almost-self-calibrating positioning system with, e.g., one basic calibration and then automatic recalibrations • For more information, contact • John Aasted Sørensen (jaas@itu.dk) http://lacomoco.itu.dk/

  29. BPL Bigraphical Programming Languages

  30. What is a bigraph? • A place graph (a tree, a location hierarchy) • A link graph (hypergraph) http://lacomoco.itu.dk/

  31. What is a bigraph? • By representing both components of the bigraph, we get an impression of object locations and connections simultaneously http://lacomoco.itu.dk/

  32. Modeling systems with bigraphs • Example, inspired by the DELCA project http://lacomoco.itu.dk/

  33. Modeling systems with bigraphs • Dynamics – bigraphical reactive systems http://lacomoco.itu.dk/

  34. Modeling systems with bigraphs • The ghost moves from one room to the next http://lacomoco.itu.dk/

  35. Some Research Challenges • Develop interpreter for bigraphical reactive systems to allow experimentation • Involves development of matching algorithms • Related to rewriting of XML • Type systems • Bigraphs can be seen as a simple form of location model – how to extend it to a context model ? • Locations with uncertainty http://lacomoco.itu.dk/

  36. Location and Context Models • using current technologies • CMC platform, combining speech with positioning technology • Paper submitted to Ubicomp 2005, prototype implemented at ITU • (CACM: context is key!) http://lacomoco.itu.dk/

  37. Distributed Reactive XML • XML can be seen as a kind of bigraphs • Use ideas from bigraphs to extend XML with reaction rules to allow general rewriting of XML documents • Make a distributed implementation using XML store http://lacomoco.itu.dk/

  38. For more information • http://www.itu.dk/research/theory/bpl • Contact • Lars Birkedal (birkedal@itu.dk) http://lacomoco.itu.dk/

  39. Thank you! • We look forward to collaborating more with researchers and companies at the Alexandra Institute through the Højtteknologisk Netværk http://lacomoco.itu.dk/

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