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socialsensing.dvi
https://mobile-systems.cl.cam.ac.uk/papers/mcss12.pdf9 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 -
Mining User Mobility Features for Next PlacePrediction in…
https://mobile-systems.cl.cam.ac.uk/papers/icdm2012.pdf20 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: -
Multilayer Brokerage in Geo-Social Networks
https://mobile-systems.cl.cam.ac.uk/papers/icwsm2015.pdf28 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 -
Open Source Smartphone Libraries for Computational Social Science
https://mobile-systems.cl.cam.ac.uk/papers/mcss2013.pdf24 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]. -
If I build it, will they come? Predicting new venue visitation…
https://mobile-systems.cl.cam.ac.uk/papers/sigspatial17poster.pdf10 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. -
jsac.dvi
https://mobile-systems.cl.cam.ac.uk/papers/jsac.pdf1 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 -
Exploiting Place Features in Link Prediction onLocation-based Social…
https://mobile-systems.cl.cam.ac.uk/papers/kdd2011.pdf30 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. -
Understanding the Role of Places and Activities on Mobile Phone…
https://mobile-systems.cl.cam.ac.uk/papers/Ubicomp17-Abhinav.pdf1 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”. -
Selective Reprogramming of Mobile Sensor Networksthrough Social…
https://mobile-systems.cl.cam.ac.uk/papers/ewsn10.pdf12 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. -
Passive mobile sensing and psychological traits for large scale mood …
https://mobile-systems.cl.cam.ac.uk/papers/pervasivehealth19.pdf20 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 -
KDD__19_Spathis_et_al_nocopyright
https://mobile-systems.cl.cam.ac.uk/papers/KDD19Spathis.pdf20 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 -
Developing and Deploying a Taxi Price ComparisonMobile App in ...
https://mobile-systems.cl.cam.ac.uk/papers/dsaa18.pdf9 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. -
SIGCHI Conference Proceedings Format
https://mobile-systems.cl.cam.ac.uk/papers/ubicomp2013.pdf1 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 -
Adaptive Routing for Intermittently Connected Mobile Ad Hoc Networks…
https://mobile-systems.cl.cam.ac.uk/papers/wowmom05.pdf29 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 -
CTG: A Connectivity Trace Generator for Testing thePerformance of ...
https://mobile-systems.cl.cam.ac.uk/papers/esec07.pdf5 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 -
Epcast: Controlled Dissemination in Human-based Wireless Networks…
https://mobile-systems.cl.cam.ac.uk/papers/epcast.pdf24 Mar 2008: These structuresare emerging in presence of small clusters of people or communities. -
The RUNES Middleware for Networked Embedded Systemsand its…
https://mobile-systems.cl.cam.ac.uk/papers/percom07.pdf29 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 -
Adaptive Resource Discovery for Ubiquitous Computing ∗ Rae…
https://mobile-systems.cl.cam.ac.uk/papers/mpacrae.pdf29 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 -
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced…
https://mobile-systems.cl.cam.ac.uk/papers/KDD_covid_19.pdf4 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 -
KDD19_ads1814p
https://mobile-systems.cl.cam.ac.uk/papers/KDD19Zhou.pdf20 May 2019: services, it is rather sensitive to distance that people are unlikelyto visit them from distant places.
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