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  2. 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.
  3. 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
  4. 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.
  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. 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.
  15. 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
  16. 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].
  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. 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.
  20. 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”.
  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
  22. KDD__19_Spathis_et_al_nocopyright

    https://mobile-systems.cl.cam.ac.uk/papers/KDD19Spathis.pdf
    20 May 2019: This is in line with previousstudies that found that happy/unhappy feelings usually co-occurwith higher arousal for some people (reecting joy/stress), but withlower arousal for others (relaxation/sadness) [9]. ... Previous research has alsofound a link
  23. Developing and Deploying a Taxi Price ComparisonMobile App in ...

    https://mobile-systems.cl.cam.ac.uk/papers/dsaa18.pdf
    9 Aug 2018: Another thing I thought of is to maybe let people knowthat these estimates are for the Taxi day rate (rate 1) andfor Uber without a surge price in effect.
  24. SIGCHI Conference Proceedings Format

    https://mobile-systems.cl.cam.ac.uk/papers/ubicomp2013.pdf
    1 Jul 2013: For example,since people may split the majority of their time betweenhome and work, sampling randomly is likely to fail captur-ing participants in new locations. ... Merging ESM and smartphone sens-ing gives researches an unprecedented opportunity to
  25. Adaptive Routing for Intermittently Connected Mobile Ad Hoc Networks…

    https://mobile-systems.cl.cam.ac.uk/papers/wowmom05.pdf
    29 Feb 2008: Thus, we have developed a new modelwith a form of hierarchical clustering that better reflects theways in which collections of people are structured at an or-ganizational level and, consequently, the ... theuniversity, interacting with a very closed set
  26. CTG: A Connectivity Trace Generator for Testing thePerformance of ...

    https://mobile-systems.cl.cam.ac.uk/papers/esec07.pdf
    5 Aug 2008: Applications of op-portunistic mobile systems are growing in number and range frommore social network related ones (e.g., news/content distributionamong people travelling on public transport, or between vehicles)to ... The distribution of the average
  27. Epcast: Controlled Dissemination in Human-based Wireless Networks…

    https://mobile-systems.cl.cam.ac.uk/papers/epcast.pdf
    24 Mar 2008: These structuresare emerging in presence of small clusters of people or communities.
  28. Adaptive Resource Discovery for Ubiquitous Computing ∗ Rae…

    https://mobile-systems.cl.cam.ac.uk/papers/mpacrae.pdf
    29 Feb 2008: a surprise to most people (and a testament to theinvisibility of these devices) that the average household inthe developed world already possesses in the order of 40-50processors – some cars alone
  29. Exploring Automatic Diagnosis of COVID-19 from Crowdsourced…

    https://mobile-systems.cl.cam.ac.uk/papers/KDD_covid_19.pdf
    4 Aug 2020: Recent work has started exploring how respiratory sounds (e.g.,coughs, breathing and voice) collected by devices from patientstested positive for COVID-19 in hospital differ from sounds fromhealthy people. ... Thisfinding manifests from the nature of the
  30. The RUNES Middleware for Networked Embedded Systemsand its…

    https://mobile-systems.cl.cam.ac.uk/papers/percom07.pdf
    29 Feb 2008: 2 The Road Tunnel Application Scenario. Over 200 people have died in Europe in road tunnel firesduring the last decade. ... 3] D. Bottazzi, A. Corradi, and R. Montanari. Context-awaremiddleware solutions for anytime and anywhere emergencyassistance to
  31. KDD19_ads1814p

    https://mobile-systems.cl.cam.ac.uk/papers/KDD19Zhou.pdf
    20 May 2019: services, it is rather sensitive to distance that people are unlikelyto visit them from distant places.
  32. iwsawc1

    https://mobile-systems.cl.cam.ac.uk/papers/iwsawc.pdf
    29 Feb 2008: In such a situation if some people are working offline on locally cached copies the data while others are working online, inconsistencies can quickly develop.
  33. Energy Neutral Operation of Vibration Energy-Harvesting…

    https://mobile-systems.cl.cam.ac.uk/papers/ewsn2018.pdf
    26 Jan 2018: Many of the smaller bridges may be invisible tomost people as they travel around but the big iconic bridgesare easily recognizable. ... Vibrations provide an alternative source of energy [30,27, 17]. A bridge can experience vibrations through
  34. Los Twindignados: The Rise of the IndignadosMovement on Twitter ...

    https://mobile-systems.cl.cam.ac.uk/papers/socialcom12_vallina.pdf
    21 Jul 2012: Laterthat day, 10,000 people protested this and started a permanentcamp in the popular downtown square Plaza del Sol. ... This might be because people prefer touse hashtags to mark their own tweets rather than to retweetother users’.
  35. What Will You Do for the Rest of the Day? An Approach to Continuous…

    https://mobile-systems.cl.cam.ac.uk/papers/imwut1819.pdf
    27 Feb 2019: The reasonis that people often have a similar routine in two close days (e.g. ... There are outlier trajectories, which are diferent from people’s normal routine (i.e.
  36. Characterising Temporal Distance and Reachability inMobile and Online …

    https://mobile-systems.cl.cam.ac.uk/papers/ccr09_tang.pdf
    12 Dec 2009: 3. EVALUATIONIn our evaluation we use three datasets: Bluetooth traces. of people at the 2005 INFOCOM conference [6], campusBluetooth traces of students and staff at MIT [4] and in-teractions between ... From Table 5we can see L for Day 1: if two people
  37. SenShare: Transforming Sensor Networks IntoMulti-Application Sensing…

    https://mobile-systems.cl.cam.ac.uk/papers/ewsn2012.pdf
    20 Dec 2011: Office Occupancy: The second application that we deployed is responsiblefor monitoring people that are currently working in every office that is instru-mented with sensors. ... Applying the appropriate local filtering ofevents and a hysteresis mechanism
  38. 978-1-4577-0351-5/11/$26.00 c©2011 IEEE Exploiting Temporal Complex…

    https://mobile-systems.cl.cam.ac.uk/papers/wowmom11full.pdf
    27 Apr 2011: part of life for many people who carry such devices throughtheir daily routine. ... The horizontal axis is time and the vertical groupings ofnodes represents people that are in the same static connectedcomponent such that there is a path between every
  39. Collecting Big Datasets of Human ActivityOne Checkin at a ...

    https://mobile-systems.cl.cam.ac.uk/papers/hotplanet12.pdf
    17 May 2012: Hong, and. J. Zimmerman, “I’m the mayor of my house: examiningwhy people use foursquare - a social-driven locationsharing application,” in Proceedings of the 2011 annualconference on Human factors in computing
  40. Exploiting Foursquare and Cellular Data to InferUser Activity in ...

    https://mobile-systems.cl.cam.ac.uk/papers/mdm2013.pdf
    20 Mar 2013: Given a geographic area in a city ourgoal is to infer the type of activity carried out by people nearby.We formulate this problem as a supervised learning predictiontask where the ... People tend to have long calls when theyare talking to close friends
  41. ZOE: A Cloud-less Dialog-enabled Continuous SensingWearable…

    https://mobile-systems.cl.cam.ac.uk/papers/mobisys2015.pdf
    29 Apr 2015: user has with other people; and finally, Place Sensing –aiming to track locations of importance to users (home, work etc.)and characterize their conditions. ... detection, whileambient audio is mined for various characteristics of the place
  42. minemaBook.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/minema08.pdf
    20 Jun 2008: Currently, there are very few and very recent public data repository oftraces capturing movement of people. ... The idea behind this is that we have an interactionthreshold above which we say that two people are interacting as they have astrong
  43. Beyond Location Check-ins: Exploring Physical andSoft Sensing to…

    https://mobile-systems.cl.cam.ac.uk/papers/percom15.pdf
    26 Jan 2015: Zimmerman, “I’m. the mayor of my house: examining why people use foursquare - asocial-driven location sharing application,” in CHI ’11. ... Campbell,“SoundSense: scalable sound sensing for people-centric applications onmobile phones,” in
  44. Far from the Eyes, Close on the Web: Impact ...

    https://mobile-systems.cl.cam.ac.uk/papers/wosn12-kaltenbrunner.pdf
    18 Jun 2012: Whilespatial proximity appears influencing how people connect toeach other even on the Web, the relationship between socialinteraction and spatial distance remains unexplored. ... This kind of people couldexhibit a noticeable propensity to interact more
  45. Measuring User Activity on an OnlineLocation-based Social Network…

    https://mobile-systems.cl.cam.ac.uk/papers/netscicom2011.pdf
    1 Sep 2012: Location is increasinglybecoming a crucial facet of many online services: people ap-pear more willing to share information about their geographicposition with friends, while companies can customize theirservices by taking into
  46. ReconfigurableComponent-based Middleware for Networked Embedded…

    https://mobile-systems.cl.cam.ac.uk/papers/jwin.pdf
    29 Feb 2008: including home appliances, cars, transport infrastructures, buildings, and people. Furthermore,. the networking of such embedded environments is enabling advanced scenarios in which devices.
  47. imwut20a-sub7831-cam-i26

    https://mobile-systems.cl.cam.ac.uk/papers/contauth.pdf
    9 Nov 2020: The negativeclass represents an attacker class that contains data from many people to resemble a universal attacker class.
  48. Controlled Epidemic-style Dissemination Middlewarefor Mobile Ad Hoc…

    https://mobile-systems.cl.cam.ac.uk/papers/mobiquitous06.pdf
    29 Feb 2008: involve a large number of people gathered together (such asin occasion of major sport events in stadiums or arenas). ... Ifthe network infrastructure has failed, firefighters and otherhelpers might want to relying on device to device connec-tivity of the
  49. 1 Talking Places: Modelling and Analysing LinguisticContent in…

    https://mobile-systems.cl.cam.ac.uk/papers/socialcom12_bauer.pdf
    21 Jul 2012: services. This goldmine of data, includingtemporal and spatial information of unprecedentedgranularity, can help researchers gain insights into thebehavioural patterns of people at a global scale. ... The same applies to the party topic (cf. Figure
  50. Don’t kill my ads! Balancing Privacy in an Ad-SupportedMobile ...

    https://mobile-systems.cl.cam.ac.uk/papers/hotmobile2012.pdf
    11 Jan 2012: Moreover, as it has beenshown that people value location information differently based onwhere they are [9], in our prototype the user can create location-based rules to obfuscate location when in ... of my house: examining why people use foursquare - a
  51. Track Globally, Deliver Locally: Improving Content DeliveryNetworks…

    https://mobile-systems.cl.cam.ac.uk/papers/www2011.pdf
    31 Jan 2011: On the other hand, content may become popular be-cause people share it and talk about it, leading to some sortof viral spreading along social connections. ... On the other hand, the georange allows us tounderstand how close the initiator of a cascade is

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