Academic literature on the topic 'User mobility'
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Journal articles on the topic "User mobility"
Secci, Stefano, Patrick Raad, and Pascal Gallard. "Linking Virtual Machine Mobility to User Mobility." IEEE Transactions on Network and Service Management 13, no. 4 (December 2016): 927–40. http://dx.doi.org/10.1109/tnsm.2016.2592241.
Full textZonoozi, M. M., and P. Dassanayake. "User mobility modeling and characterization of mobility patterns." IEEE Journal on Selected Areas in Communications 15, no. 7 (1997): 1239–52. http://dx.doi.org/10.1109/49.622908.
Full textWang, Guowei, Dongliang Liao, and Jing Li. "Complete User Mobility via User and Trajectory Embeddings." IEEE Access 6 (2018): 72125–36. http://dx.doi.org/10.1109/access.2018.2881457.
Full textQi, Mengjun, Zhongyuan Wang, Zheng He, and Zhenfeng Shao. "User Identification across Asynchronous Mobility Trajectories." Sensors 19, no. 9 (May 7, 2019): 2102. http://dx.doi.org/10.3390/s19092102.
Full textBell, Daniel. "Intermodal Mobility Hubs and User Needs." Social Sciences 8, no. 2 (February 20, 2019): 65. http://dx.doi.org/10.3390/socsci8020065.
Full textLai, Kwong Yuen, Zahir Tari, and Peter Bertok. "Supporting User Mobility through Cache Relocation." Mobile Information Systems 1, no. 4 (2005): 275–307. http://dx.doi.org/10.1155/2005/513531.
Full textChen, Xihui, Jun Pang, and Ran Xue. "Constructing and Comparing User Mobility Profiles." ACM Transactions on the Web 8, no. 4 (November 6, 2014): 1–25. http://dx.doi.org/10.1145/2637483.
Full textWressle, Ewa, and Kersti Samuelsson. "User Satisfaction with Mobility Assistive Devices." Scandinavian Journal of Occupational Therapy 11, no. 3 (April 2004): 143–50. http://dx.doi.org/10.1080/11038120410020728.
Full textKim, Sehun, and Ki-Dong Lee. "Modelling user Mobility in Microcellular Systems." International Journal of Modelling and Simulation 21, no. 2 (January 2001): 132–37. http://dx.doi.org/10.1080/02286203.2001.11442195.
Full textKravets, Robin, Casey Carter, and Luiz Magalhães. "A cooperative approach to user mobility." ACM SIGCOMM Computer Communication Review 31, no. 5 (October 2001): 57–69. http://dx.doi.org/10.1145/1037107.1037115.
Full textDissertations / Theses on the topic "User mobility"
Boc, Michaël Mathias. "Profile of mobility : user-centric networking." Paris 6, 2009. http://www.theses.fr/2009PA066355.
Full textPamuluri, Harihara Reddy. "Predicting User Mobility using Deep Learning Methods." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19340.
Full textChama, Namusale Chibwe Maggie. "Impact of node mobility in user-centric routing." Doctoral thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/15783.
Full textRecent paradigms in wireless communication architectures describe environments where nodes present a highly dynamic behavior (e.g., User Centric Networks). In such environments, routing is still performed based on the regular packet-switched behavior of store-and-forward. Albeit sufficient to compute at least an adequate path between a source and a destination, such routing behavior cannot adequately sustain the highly nomadic lifestyle that Internet users are today experiencing. This thesis aims to analyse the impact of the nodes’ mobility on routing scenarios. It also aims at the development of forwarding concepts that help in message forwarding across graphs where nodes exhibit human mobility patterns, as is the case of most of the user-centric wireless networks today. The first part of the work involved the analysis of the mobility impact on routing, and we found that node mobility significance can affect routing performance, and it depends on the link length, distance, and mobility patterns of nodes. The study of current mobility parameters showed that they capture mobility partially. The routing protocol robustness to node mobility depends on the routing metric sensitivity to node mobility. As such, mobility-aware routing metrics were devised to increase routing robustness to node mobility. Two categories of routing metrics proposed are the time-based and spatial correlation-based. For the validation of the metrics, several mobility models were used, which include the ones that mimic human mobility patterns. The metrics were implemented using the Network Simulator tool using two widely used multi-hop routing protocols of Optimized Link State Routing (OLSR) and Ad hoc On Demand Distance Vector (AODV). Using the proposed metrics, we reduced the path re-computation frequency compared to the benchmark metric. This means that more stable nodes were used to route data. The time-based routing metrics generally performed well across the different node mobility scenarios used. We also noted a variation on the performance of the metrics, including the benchmark metric, under different mobility models, due to the differences in the node mobility governing rules of the models.
Os paradigmas recentes de arquiteturas de comunicação sem fios consistem em ambientes onde os dispositivos apresentam um comportamento dinâmico (e.g., Redes Centradas no Utilizador). Nestes ambientes, o encaminhamento de dados ainda é realizado com base no comportamento de armazenamento e encaminhamento da comutação clássica de pacotes. Embora seja suficiente para calcular, pelo menos, um caminho adequado entre uma origem e um destino, tal comportamento de encaminhamento não é adequado nas redes móveis e sem fios atuais. Esta tese tem como objetivo analisar o impacto da mobilidade dos utilizadores sobre os diferentes cenários de encaminhamento. A tese também visa o desenvolvimento de conceitos de encaminhamento que ajudam na distribuição de dados através de grafos, nos quais os vértices exibem padrões de mobilidade humana, como é o caso hoje em dia para a maior parte das redes sem fios centradas no utilizador. A primeira parte desta tese envolveu a análise do impacto da mobilidade dos utilizadores no encaminhamento, com a análise de que a mobilidade, para afetar o desempenho do encaminhamento, depende do comprimento do caminho entre a origem e o destino, da distância entre os dispositivos, e dos diferentes padrões de mobilidade. O estudo dos atuais parâmetros de mobilidade mostrou que eles capturam parcialmente a mobilidade dos utilizadores. A robustez dos protocolos de encaminhamento depende da sensibilidade das métricas no que concerne a esta mobilidade. Assim, foram concebidas métricas de encaminhamento baseadas na mobilidade dos utilizadores para aumentar a robustez do encaminhamento em relação à mobilidade. As duas categorias de métricas de encaminhamento criadas foram métricas que têm como base o tempo e a correlação espacial. Para a validação das métricas foram utilizados vários modelos de mobilidade, incluindo os modelos que imitam padrões de mobilidade humana. As métricas foram implementadas utilizando a ferramenta Network Simulator e considerando dois protocolos de encaminhamento por múltiplos saltos amplamente utilizados, o Optimized Link State Routing (OLSR) e o Adhoc On Demand Distance Vector (AODV). Com a utilização das métricas propostas observa-se que a frequência de realização de novos cálculos de caminhos de comunicação foi reduzida em relação à métrica de referência. Isto significa que foram usados caminhos mais estáveis para encaminhar dados. As métricas de encaminhamento baseadas no tempo apresentam geralmente um bom desempenho nos diferentes cenários de mobilidade utilizados. Observou-se também uma variação no desempenho das métricas, incluindo a métrica de referência, nos diferentes modelos de mobilidade considerados, devido a diferenças nas regras de mobilidade dos utilizadores dos diferentes modelos.
Tatar, Alexandru-Florin. "Predicting User-Centric Behavior : mobility and content popularity." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066202/document.
Full textUnderstanding user behavior is fundamental in the design of efficient communication systems. Unveiling the complex online and real-life interactions among users, deciphering online activity, or understanding user mobility patterns all forms of user activity have a direct impact on the performance of the network. But observing user behavior is not sufficient. To transform information in valuable knowledge, one needs however to make a step forward and go beyond observing and explaining the past to building models that will predict future behavior. In this thesis, we focus on the case of users consuming content on the move, especially when connectivity is poor or intermittent. We consider both traditional infrastructure-based communications and opportunistic device-to-device transfers between neighboring users. We offer new perspectives of how to use additional information about user behavior in the design of more efficient solutions for mobile opportunistic communications. In particular, we put forward the case that the collective user behavior, both in terms of content consumption and contacts between mobile users, can be used to build dynamic data replication strategies
YNGEN, FREDRIK. "A user study on electric shared mobility for residents." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299783.
Full textDenna studie avser att förbättra förståelsen för de krav som ställs på en elektrifierad delad mobilitetstjänst för boende (electric Shared Mobility for Residents (eSMfR)), för att göra den attraktiv ur ett användarperspektiv. Studien har genomförts genom dialog med slumpvis rekryterade boenden i två svenska bostadsområden. Dialogen genomfördes under fältdagar där transportbehov, bilägande och bildelning som ett alternativ diskuterades och dokumenterades. De boende i området bjöds in till dialogen då de passerade en utställning med ett antal planscher som utformats för att stödja diskussionerna om rese- och transportbehov, färdmedel för resor och transporter och för- och nackdelar med privat bilägande i förhållande till en delad mobilitetstjänst. Studien har genomförts med en deltagande och praktiserande design orientering i ett Living Lab ekosystem. Verktyg som personas och kundresor har använts. Resultat är presenterade enligt delfrågor av forskningsfrågan: ”Vilka essentiella aspekter inom design kan skapa incitament för användandet av eSMfR?”. Studien har sedan utmynnat i fem insikter: Det saknas medvetenhet om, och relation till, delad mobilitet. Förändring av beteenden måste ske på kollektiv nivå. Kostnad är en väsentlig drivkraft och den upplevda kostnaden måste vara attraktiv. Bekvämlighet är ytterligare en väsentlig drivkraft, miljövänlighet är en bonus. Användarvänlighet är en väsentlig del av bekvämlighet. Baserat på de genererade insikterna föreslås ett antal design-rekommendationer för att övervinna negativa uppfattningar och tillfredsställa användarnas behov. Ett adekvat nästa steg skulle vara att genomföra en kvantitativ studie för att verifiera relevansen av de genererade insikterna och effektiviteten av de föreslagna design-rekommendationerna. Efter att den kvantitativa verifieringen genomförts kan en skalbar pilot, designad enligt de verifierade resultaten, lanseras för att ge realtidsdata för att fintrimma konceptet.
Zhou, Yun. "Context-based Innovative Mobile User Interfaces." Phd thesis, Ecole Centrale de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00813532.
Full textZhang, Zelun. "User mobility detection using foot force sensors and mobile phone GPS." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/9116.
Full textMastrovito, Mirco. "User reputation and data quality in a crowdsensing platform for impaired mobility." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.
Find full textSulaiman, Norrozila. "Performance evaluation of user mobility on QoS classes in a 3G network." Thesis, University of Newcastle Upon Tyne, 2008. http://hdl.handle.net/10443/525.
Full textKarlsson, Hanna, and Hanna Tullock. "User perceptions of belt in seat installations : A comfort and mobility study." Thesis, Högskolan Väst, Avdelningen för maskinteknik och naturvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-10975.
Full textBooks on the topic "User mobility"
Kelly, Dan. Program for the transportation of the mobility disadvantaged in rural Manitoba: A study of user needs and benefits. [Winnipeg]: Manitoba Dept. of Highways and Transportation, 1988.
Find full textJukka, Springare, and SpringerLink (Online service), eds. Haptics: Perception, Devices, Mobility, and Communication: International Conference, EuroHaptics 2012, Tampere, Finland, June 13-15, 2012 Proceedings, Part II. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textJukka, Springare, and SpringerLink (Online service), eds. Haptics: Perception, Devices, Mobility, and Communication: International Conference, EuroHaptics 2012, Tampere, Finland, June 13-15, 2012. Proceedings, Part I. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Find full textZegeer, Charles V. Pedestrian facilities users guide: Providing safety and mobility. McLean, Virginia: U.S. Dept. of Transportation, Federal Highway Administration, Research, Development and Technology, Turner-Fairbank Highway Research Center, 2002.
Find full textNewbold, David. My Mobility. Venice: Edizioni Ca' Foscari, 2018. http://dx.doi.org/10.30687/978-88-6969-300-7.
Full textAtkinson, Beth. Accessible homes: Mobility for wheelchair users within private dwellings. [London]: Greenwich Housing Disability Team, 2002.
Find full textI know someone who uses a wheelchair. Oxford: Raintree, 2012.
Find full textNuvolati, Giampaolo. Popolazioni in movimento, città in trasformazione: Abitanti, pendolari, city users, uomini d'affari e flâneurs. Bologna: Il mulino, 2002.
Find full textFEDERAL AVIATION ADMINISTRATION. Guide specification for lifts used to board airline passengers with mobility impairments. Washington, D.C. (800 Independence Ave., S.W. Washington 20591): U.S. Dept. of Transportation, Federal Aviation Administration, 1996.
Find full textAffluence, mobility, and second home ownership. New York, NY: Routledge, 2010.
Find full textBook chapters on the topic "User mobility"
Sofia, Rute, Tiago Condeixa, and Susana Sargento. "Mobility Estimation in the Context of Distributed Mobility Management." In User-Centric Networking, 289–310. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05218-2_14.
Full textBrown, Martin G. "Supporting User Mobility." In Mobile Communications, 69–77. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-0-387-34980-0_8.
Full textPeters, Sebastian, Denis Pozo Pardo, and Qing Zhou. "Mobility Management in ULOOP." In User-Centric Networking, 311–25. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05218-2_15.
Full textSivrikaya, Fikret, Stefano Salsano, Marco Bonola, and Marco Trenca. "Mobility Support in User-Centric Networks." In User-Centric Networking, 269–88. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05218-2_13.
Full textShaheen, Susan, Adam Cohen, and Elliot Martin. "Smartphone App Evolution and Early Understanding from a Multimodal App User Survey." In Disrupting Mobility, 149–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51602-8_10.
Full textAlegre Valls, Lluís. "Mobility Planning to Improve Air Quality." In Towards User-Centric Transport in Europe, 121–33. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99756-8_9.
Full textLacey, Gerard, Nikos Katevas, and Wolfram Humann. "User Interfaces for Robot Mobility Aids." In Field and Service Robotics, 533–39. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_80.
Full textVanini, Salvatore, and Anna Förster. "Architectural Solutions for End-User Mobility." In Mobile Ad Hoc Networking, 154–90. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118511305.ch5.
Full textVijayakumar, Priya, Stefan Schmid, Simon Schütz, and Marcus Brunner. "Application-Independent Session Mobility Between User Terminals." In Mobility Aware Technologies and Applications, 305–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11569510_29.
Full textTatum, K., T. Cekic, A. Landwehr, J. Noennig, J. Knieling, and B. Schroeter. "Co-creation of Local Mobility Solutions: Lessons from the Mobility Lab in Hamburg-Altona." In Towards User-Centric Transport in Europe 2, 16–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38028-1_2.
Full textConference papers on the topic "User mobility"
Liu, Lu, Junyao Guo, Sihai Zhang, and Jinkang Zhu. "Similar User Assisted Mobility Prediction." In 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2019. http://dx.doi.org/10.1109/wcsp.2019.8928002.
Full textal-Azzawi, Ali. ""User Experience in Arabia: The Business Case for User-Centred Design and Usability Engineering"." In Mobility, Intelligent Networks and Smart Societies. BCS Learning & Development, 2015. http://dx.doi.org/10.14236/ewic/bcsme2014.13.
Full textLa, Chi-Anh, and Pietro Michiardi. "Characterizing user mobility in second life." In the first workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1397735.1397753.
Full textPark, Chulho. "Multi-User Multiplexing for IP Mobility." In 2013 International Conference on Information Science and Applications (ICISA). IEEE, 2013. http://dx.doi.org/10.1109/icisa.2013.6579360.
Full textTuncer, Hasan, Yoshihiro Nozaki, and Nirmala Shenoy. "Virtual domains for seamless user mobility." In the 9th ACM international symposium. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2069131.2069153.
Full textBarth, Dominique, Samir Bellahsene, and Leïla Kloul. "Mobility Prediction Using Mobile User Profiles." In Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE, 2011. http://dx.doi.org/10.1109/mascots.2011.57.
Full textDe Vogeleer, Karel, Selim Ickin, David Erman, and Markus Fiedler. "PERIMETER: A user-centric mobility framework." In 2010 IEEE 35th Conference on Local Computer Networks (LCN 2010). IEEE, 2010. http://dx.doi.org/10.1109/lcn.2010.5735783.
Full textGharam, Maroua, and Noureddine Boudriga. "User Mobility under LTE based VPN." In MSWiM '16: 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2989250.2989271.
Full textWang, Weihong, Yuhui Cao, Da Li, and Zheng Qin. "Markov-Based Hierarchical User Mobility Model." In 2007 Third International Conference on Wireless and Mobile Communications (ICWMC'07). IEEE, 2007. http://dx.doi.org/10.1109/icwmc.2007.52.
Full textSchulzrinne, Henning, Andrea G. Forte, and Sangho Shin. "User mobility in IEEE 802.11 networks." In first ACM/IEEE international workshop. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1186699.1186705.
Full textReports on the topic "User mobility"
Glaeser, Edward, Caitlin Gorback, and James Poterba. How Regressive are Mobility-Related User Fees and Gasoline Taxes? Cambridge, MA: National Bureau of Economic Research, December 2022. http://dx.doi.org/10.3386/w30746.
Full textMallon, Lawrence G., and Jens Pohl. Strategic Mobility 21 Collaborative Toolkit System Documentation & User Manual: The TRANSWAY Toolset for Adaptive Planning. Fort Belvoir, VA: Defense Technical Information Center, November 2006. http://dx.doi.org/10.21236/ada461459.
Full textRannenberg, Kai, Sebastian Pape, Frédéric Tronnier, and Sascha Löbner. Study on the Technical Evaluation of De-Identification Procedures for Personal Data in the Automotive Sector. Universitätsbibliothek Johann Christian Senckenberg, October 2021. http://dx.doi.org/10.21248/gups.63413.
Full textShoop, Sally, Clifford Witte, Sebastian Karwaczynski, Clifton Ellis, Eoghan Matthews, Steven Bishel, Barry Bomier, et al. Improving winter traction for vehicles in northern operations. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42524.
Full textKeith A. Daum and Sandra L. Fox. Data for Users of Handheld Ion Mobility Spectrometers. Office of Scientific and Technical Information (OSTI), May 2008. http://dx.doi.org/10.2172/940050.
Full textAppleyard, Bruce, Jonathan Stanton, and Chris Allen. Toward a Guide for Smart Mobility Corridors: Frameworks and Tools for Measuring, Understanding, and Realizing Transportation Land Use Coordination. Mineta Transportation Institue, December 2020. http://dx.doi.org/10.31979/mti.2020.1805.
Full textBodie, Mark, Michael Parker, Alexander Stott, and Bruce Elder. Snow-covered obstacles’ effect on vehicle mobility. Engineer Research and Development Center (U.S.), November 2020. http://dx.doi.org/10.21079/11681/38839.
Full textLewis, Sherman, Emilio Grande, and Ralph Robinson. The Mismeasurement of Mobility for Walkable Neighborhoods. Mineta Transportation Institute, November 2020. http://dx.doi.org/10.31979/mti.2020.2060.
Full textHannum, D. W. Characteristics of select glass tube preconcentrators used with an ion mobility spectrometer. Office of Scientific and Technical Information (OSTI), April 1989. http://dx.doi.org/10.2172/6214730.
Full textSlattery, Kevin, and Eliana Fu. Unsettled Issues in Additive Manufacturing and Improved Sustainability in the Mobility Industry. SAE International, July 2021. http://dx.doi.org/10.4271/epr2021015.
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