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  2. 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
  3. 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.
  4. 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
  5. 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
  6. 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
  7. 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.
  8. 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
  9. 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
  10. 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
  11. 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.
  12. 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.
  13. 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
  14. 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’.
  15. 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
  16. 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
  17. 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
  18. 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.
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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.
  27. 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
  28. 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.
  29. 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
  30. 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
  31. 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
  32. A Random Walk Around the City:New Venue Recommendation in ...

    https://mobile-systems.cl.cam.ac.uk/papers/socialcom12_noulas.pdf
    21 Jul 2012: To do so, we seek to answer thefollowing questions:. 1) How often do people tend to visit new places? ... We demonstrate that each meth-od hasa unique underlying assumption about how people move,which necessarily excludes alternatives when
  33. Evolution of a Location-based Online Social Network:Analysis and…

    https://mobile-systems.cl.cam.ac.uk/papers/imc2012.pdf
    7 Sep 2012: network growth over time: new edges are most likely toconnect people who already share at least one friend.
  34. Extending Access Point Connectivity throughOpportunistic Routing in…

    https://mobile-systems.cl.cam.ac.uk/papers/infocom10.pdf
    22 Dec 2009: efficiently. I. INTRODUCTION. With the recent surge of fully-fledged smartphones likeApple iPhone or Android phones, people increasingly ex-pect Internet connectivity to be available everywhere at anytime.
  35. SociableSense: Exploring the Trade-offs of AdaptiveSampling and…

    https://mobile-systems.cl.cam.ac.uk/papers/mobicom2011.pdf
    9 Jul 2011: Smart phones can prove invaluable for the long term andcontinuous monitoring of people in their environment. ... D has shared his interactionswith two people in the network, whereas E has connectedonly to one person.
  36. 1-4244-1455-5/07/$25.00 c©2007 IEEE Opportunistic Mobile Sensor Data…

    https://mobile-systems.cl.cam.ac.uk/papers/mass07.pdf
    29 Feb 2008: Lane, E. Miluzzo,and R. A. Peterson. People-centric urban sensing. In Pro-ceedings of 2nd ACM/IEEE International Wireless Inter-net Conference (WICON 2006), August 2-5, 2006, Boston,USA.
  37. Evolution and Sustainability of aWildlife Monitoring Sensor Network…

    https://mobile-systems.cl.cam.ac.uk/papers/sensys10.pdf
    1 Sep 2010: Evolution and Sustainability of aWildlife Monitoring Sensor Network. Vladimir Dyo, Stephen A. Ellwood†, David W. Macdonald†, Andrew Markham‡. Cecilia Mascolo, Bence Pásztor, Salvatore Scellato, Niki Trigoni‡, Ricklef Wohlers‡, Kharsim
  38. Centrality Prediction in Dynamic Human Contact Networks

    https://mobile-systems.cl.cam.ac.uk/papers/computernets12.pdf
    11 Jan 2012: advertisements can favour people who can spread information quickly to other nodes in the network [13]. ... colleagues to talk to at the breaks between sessions, rather than socialising with the same people.
  39. 1 On the Effectiveness of an OpportunisticTraffic Management System…

    https://mobile-systems.cl.cam.ac.uk/papers/its11.pdf
    13 Sep 2011: Abstract—Road congestion results in a huge waste of timeand productivity for millions of people.
  40. black Measuring Interaction Proxemics with Wearable Light Tags

    https://mobile-systems.cl.cam.ac.uk/papers/ubicomp2018-montanari.pdf
    6 Mar 2018: that recreate realistic scenarios that involve two people in an indoor environment (Figure 2). ... The experiments are conducted outside office hours to avoid thepresence of moving people in the vicinity.
  41. Proceedings on Privacy Enhancing Technologies ..; .. (..):1–17…

    https://mobile-systems.cl.cam.ac.uk/papers/pets2018-manousakas.pdf
    15 Mar 2018: They demonstrated that even this statisticalinformation suffices to successfully recover the identityof individuals in datasets of few hundred people, viajointly matching labeled and unlabeled histograms ofa population. ... The difference between our
  42. 39 WILDSENSING: Design and Deployment of a Sustainable SensorNetwork…

    https://mobile-systems.cl.cam.ac.uk/papers/tosn2011.pdf
    27 Apr 2011: All these methods are labor intensive and expensive. For ex-ample, VHF tracking requires at least two people to get accurate location informationon the animal, and it is not often practical
  43. 1 CAR: Context-aware Adaptive Routingfor Delay Tolerant Mobile…

    https://mobile-systems.cl.cam.ac.uk/papers/tmc08.pdf
    14 Jul 2008: DTNs span very challenging application scenarios where nodes(e.g., people, wild animals) move around in environments whereinfrastructures cannot be installed (e.g., emergency operations,military grounds, protected environments). ... However, this is a
  44. NextPlace: A Spatio-Temporal Prediction Frameworkfor Pervasive…

    https://mobile-systems.cl.cam.ac.uk/papers/pervasive11.pdf
    12 Mar 2011: 1 Introduction. The ability to predict future locations of people allows for a rich set of novel pervasiveapplications and systems: accurate content dissemination of location related informa-tion such as advertisement,
  45. Mobile Computing Middleware Cecilia Mascolo, Licia Capra and Wolfgang …

    https://mobile-systems.cl.cam.ac.uk/papers/ntw02.pdf
    29 Feb 2008: of these technologies on personal devices enables people toaccess their personal information as well as public resources anytime and any-where.
  46. chapterMascolofinal

    https://mobile-systems.cl.cam.ac.uk/papers/principles.pdf
    29 Feb 2008: The combined use of these technologies on personal devices enables people to access their personal information as well as public resources anytime and anywhere.
  47. The Role of Urban Mobility in Retail Business Survival

    https://mobile-systems.cl.cam.ac.uk/papers/imwut-dsilva18.pdf
    19 Aug 2018: 100. The Role of Urban Mobility in Retail Business Survival. KRITTIKA D’SILVA, University of CambridgeKASTHURI JAYARAJAH†, Singapore Management UniversityANASTASIOS NOULAS, New York UniversityCECILIA MASCOLO, University of Cambridge and The Alan
  48. Multimodal Deep Learning for Activity and Context Recognition

    https://mobile-systems.cl.cam.ac.uk/papers/ubicomp2018-radu.pdf
    21 Dec 2017: Sleep-Stage (SS) The Sleep-EDF Database [19], part of PhysioNet, contains physiological data (two EEG readers,one EOG and one EMG) collected from 20 people, annotated with 6 sleep stages

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