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41 - 60 of 107 search results for People aliens |u:mobile-systems.cl.cam.ac.uk where 1 match all words and 106 match some words.
  1. Results that match 1 of 2 words

  2. 2 PERVASIVE computing Published by the IEEE CS n ...

    https://mobile-systems.cl.cam.ac.uk/papers/ieeepervasive2013.pdf
    12 Jun 2013: strong urge to smoke when stressed, when with certain people, or at specific locations. ... pabilities in individuals’ pockets than computers of decades. past placed on peoples’ desktops.
  3. Efficient Node Discovery in Mobile WirelessSensor Networks Vladimir…

    https://mobile-systems.cl.cam.ac.uk/papers/dcoss08.pdf
    4 Apr 2008: The traces werecollected using 96 people carrying Bluetooth mobile phones over a duration of292 days.
  4. YONO: Modeling Multiple Heterogeneous Neural Networks on…

    https://mobile-systems.cl.cam.ac.uk/papers/ipsn22.pdf
    7 Mar 2022: Specifically, we envisage a system powered byMCUs that can recognize users’ voice commands, activities andgestures, identify everyday objects and people, and understandthe surrounding environments: this has the potential to boost theutilization
  5. OESense: Employing Occlusion Effect for In-ear Human Sensing

    https://mobile-systems.cl.cam.ac.uk/papers/mobisys21.pdf
    25 May 2021: And people chew gumin distinct ways, such as slow/fast chewing and gentle/ravenouschewing. ... Given that people havedifferent head size, skull structure, and tissue composition, it isexpected that the model trained on one subject could not be fittedto
  6. Designing Mobility Models basedon Social Networks Theory Mirco…

    https://mobile-systems.cl.cam.ac.uk/papers/mc2r07.pdf
    29 Feb 2008: Ourobservation here is that people with strong sociallinks are likely to be geographically colocated of-ten or from time to time. • ... We model the degree of social interaction be-tween two people using a value in the range [0, 1].
  7. METIS: Exploring mobile phone sensing offloading for efficiently…

    https://mobile-systems.cl.cam.ac.uk/papers/percom2013.pdf
    24 Jan 2013: We investigated the impact of user mobility looking atscenarios with different average times that people spent ina given location. ... We plan to extendthe system by supporting additional sensing modalities andalso enhance the application to recommend
  8. Distances

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm12full.pdf
    13 Mar 2012: people to interactregardless of where they are located, the costs imposed bygeographic distances might be vanishing. ... spaceand tie strength when people create these chains is ex-tremely strong, as seen also in many offline and online net-works (Dodds,
  9. A Community Based Mobility Modelfor Ad Hoc Network Research ...

    https://mobile-systems.cl.cam.ac.uk/papers/realman06.pdf
    29 Feb 2008: Wemodel the degree of social interaction between two people usinga value in the range [0, 1]. ... The Interaction Matrix (and, consequently, the Con-1Let us consider a family of three people, with one child.
  10. Media Sharing based on Colocation Predictionin Urban Transport Liam…

    https://mobile-systems.cl.cam.ac.uk/papers/mobicom08.pdf
    14 Jul 2008: 5.1.3 Passenger colocationThe data set only records when/where people entered and. ... This assumes people leave the system soon aftertheir train arrives at their final stop.
  11. The RUNES Middleware: A ReconfigurableComponent-based Approach to…

    https://mobile-systems.cl.cam.ac.uk/papers/pimrc05.pdf
    29 Feb 2008: United Kingdoms.zachariadis@cs.ucl.ac.uk. I. INTRODUCTION. Miniature computing devices are being embedded in anincreasing range of objects around us including home ap-pliances, cars, buildings, and people.
  12. socialsensing.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/mcss12.pdf
    9 May 2012: This will provide uswith insights about the tasks of the construction process orparts of the building that are discussed among the workersand the particular types of people in the organisation thatare
  13. Mining User Mobility Features for Next PlacePrediction in…

    https://mobile-systems.cl.cam.ac.uk/papers/icdm2012.pdf
    20 Oct 2012: which in plain words translates to the enumeration of venuesthat are geographically closer to l′ than the destination k.Our assumption here is that the movement of people is notbased on ... Overall, theeffectiveness of each feature over time changes:
  14. Multilayer Brokerage in Geo-Social Networks

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm2015.pdf
    28 Mar 2015: For instance, people can bebrokers both online and offline. Recent studies have sug-gested that online social networking is directly linked tobridging and bonding social capital (Ellison et al. ... While single-layer networksmay be sufficient in many
  15. Open Source Smartphone Libraries for Computational Social Science

    https://mobile-systems.cl.cam.ac.uk/papers/mcss2013.pdf
    24 Jun 2013: Beyond data collection, smartphones arenow being researched as tools that can implement andtest behaviour change theories [5] and, ultimately, promiseto become a central mediating point between people andtheir therapists [7].
  16. If I build it, will they come? Predicting new venue visitation…

    https://mobile-systems.cl.cam.ac.uk/papers/sigspatial17poster.pdf
    10 Oct 2017: We have also introduced the concept of tempo-rally similar areas in a city: areas that share patterns in the move-ment of people to venues within those areas.
  17. jsac.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/jsac.pdf
    1 Apr 2008: This aspect is capturedby the probability of subscriber co-location. However, as inreal life, a person meeting many people has more optionsto disseminate information. ... 2) Default Parameters: In real life, people sharing similarinterests happen to be co
  18. Exploiting Place Features in Link Prediction onLocation-based Social…

    https://mobile-systems.cl.cam.ac.uk/papers/kdd2011.pdf
    30 May 2011: Eagle et al. have consideredhow interactions between people over mobile phones can ac-curately predict relations among them [7]. ... PNAS, 106(36):15274–15278, September 2009. [8] Facebook. People You May Know.
  19. Understanding the Role of Places and Activities on Mobile Phone…

    https://mobile-systems.cl.cam.ac.uk/papers/Ubicomp17-Abhinav.pdf
    1 Aug 2017: People accept most notications that are delivered while they are doing exerciseand routine tasks. ... Also, people are more aentive to noticationsat places that are characterized as “productive”.
  20. Selective Reprogramming of Mobile Sensor Networksthrough Social…

    https://mobile-systems.cl.cam.ac.uk/papers/ewsn10.pdf
    12 Dec 2009: Inthese contexts, WSN nodes are physically attached to animals or people being moni-tored. ... Moreover, not all members of acommunity behave the same way, some animals/people are more active or popular thanothers.
  21. Passive mobile sensing and psychological traits for large scale mood …

    https://mobile-systems.cl.cam.ac.uk/papers/pervasivehealth19.pdf
    20 May 2019: Jason RentfrowUniversity of Cambridge, UK. Dept. of Psychologypjr39@cam.ac.uk. ABSTRACTExperience sampling has long been the established method to sam-ple people’s mood in order to assess their mental ... 7 CONCLUSIONThe pervasiveness of smartphones

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