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Relevant bibliographies by topics / Pervasive Mobile Computing

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Academic literature on the topic 'Pervasive Mobile Computing'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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Journal articles on the topic "Pervasive Mobile Computing"

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Chen, I. R. "Editorial: Mobile and Pervasive Computing." Computer Journal 47, no. 4 (2004): 404. http://dx.doi.org/10.1093/comjnl/47.4.404.

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Langheinrich, Marc, and Florian Schaub. "Privacy in Mobile and Pervasive Computing." Synthesis Lectures on Mobile and Pervasive Computing 10, no. 1 (2018): 1–139. http://dx.doi.org/10.2200/s00882ed1v01y201810mpc013.

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Mamei, Marco, and Franco Zambonelli. "Programming pervasive and mobile computing applications." ACM Transactions on Software Engineering and Methodology 18, no. 4 (2009): 1–56. http://dx.doi.org/10.1145/1538942.1538945.

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Skibniewski, Mirosław J. "Mobile and Pervasive Computing in Construction." Construction Management and Economics 32, no. 11 (2014): 1148–50. http://dx.doi.org/10.1080/01446193.2014.949810.

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Saini, Praveen, Rawat D S, Dr Dinesh Kumar Rao, and Javed Alam. "MOBILE AD HOC NETWORKING FOR PERVASIVE COMPUTING." Journal of Technological Advances and Scientific Research 1, no. 3 (2015): 110–18. http://dx.doi.org/10.14260/jtasr/2015/14.

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Alomair, Basel, and Radha Poovendran. "Efficient Authentication for Mobile and Pervasive Computing." IEEE Transactions on Mobile Computing 13, no. 3 (2014): 469–81. http://dx.doi.org/10.1109/tmc.2012.252.

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Black, Darren, Nils Jakob Clemmensen, and Mikael B. Skov. "Pervasive Computing in the Supermarket." International Journal of Mobile Human Computer Interaction 2, no. 3 (2010): 31–43. http://dx.doi.org/10.4018/jmhci.2010070103.

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Shopping in the real world is becoming an increasingly interactive experience as stores integrate various technologies to support shoppers. Based on an empirical study of supermarket shoppers, the authors designed a mobile context-aware system called the Context-Aware Shopping Trolley (CAST). The purpose of CAST is to support shopping in supermarkets through context-awareness and acquiring user attention, thus, the authors’ interactive trolley guides and directs shoppers in the handling and finding of groceries. An empirical evaluation showed that shoppers using CAST behaved differently than shoppers using a traditional trolley. Specifically, shoppers using CAST exhibited a more uniform pattern of product collection and found products more easily while travelling a shorter distance. As such, the study finds that CAST supported the supermarket shopping activity.

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Kaur, PankajDeep, Sandeep Kaur, and Amneet Kaur. "Big Data Compression in Mobile and Pervasive Computing." International Journal of Wireless and Microwave Technologies 6, no. 3 (2016): 1–8. http://dx.doi.org/10.5815/ijwmt.2016.03.01.

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Kong, Xiangjie, Jiannong Cao, Hongyi Wu, and Ching-Hsien (Robert) Hsu. "Mobile Crowdsourcing and Pervasive Computing for Smart Cities." Pervasive and Mobile Computing 61 (January 2020): 101114. http://dx.doi.org/10.1016/j.pmcj.2020.101114.

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Brousse, Olivier, Jérémie Guillot, Gilles Sassatelli, Thierry Gil, François Grize, and Michel Robert. "A Mobile Computing Framework for Pervasive Adaptive Platforms." International Journal of Distributed Sensor Networks 8, no. 1 (2011): 193864. http://dx.doi.org/10.1155/2012/193864.

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Ubiquitous computing is now the new computing trend, such systems that interact with their environment require self-adaptability. Bioinspiration is a natural candidate to provide the capability to handle complex and changing scenarios. This paper presents a programming framework dedicated to pervasive platforms programming. This bioinspired and agentoriented framework has been developed within the frame of the PERPLEXUS European project that is intended to provide support for bioinspiration-driven system adaptability. This framework enables the platform to adapt itself to application requirements at high-level while using hardware acceleration at node level. The resulting programming solution has been used to program three collaborative robotic applications in which robots learn tasks and evolve for achieving a better adaptation to their environment.

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Dissertations / Theses on the topic "Pervasive Mobile Computing"

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Abukmail, Ahmed Ahed. "Pervasive computing approach to energy management." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0013060.

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周彧 and Yuk Chow. "A light-weight mobile code system for pervasive computing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31227296.

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Siu, Po-lam Pauline. "Context-aware state management for supporting mobility in a pervasive environment." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B3147858X.

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Siu, Po-lam Pauline, and 蕭寶琳. "Context-aware state management for supporting mobility in a pervasive environment." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B3147858X.

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Nordstedt, David Roger. "MicroJini a service discovery and delivery infrastructure for pervasive computing /." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000338.

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Thesis (M.E.)--University of Florida, 2001.<br>Title from title page of source document. Document formatted into pages; contains xi, 76 p.; also contains graphics. Includes vita. Includes bibliographical references.

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Koukoumpsetsos, Kyriakos. "MoDeS : a mobile-agent system for improving availability and data-traffic on pervasive computing." Thesis, University of Surrey, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402873.

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Hansen, Jarle. "An investigation of smartphone applications : exploring usability aspects related to wireless personal area networks, context-awareness, and remote information access." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/6518.

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In this thesis we look into usability in the context of smartphone applications. We selected three research areas to investigate, namely Wireless Personal Area Networks, Context-awareness, and Remote Information Access. These areas are investigated through a series of experiments, which focuses on important aspects of usability within software applications. Additionally, we mainly use smartphone devices in the experiments. In experiment 1, Multi-Platform Bluetooth Remote Control, we investigated Wireless Personal Area Networks. Specifically, we implemented a system consisting of two clients, which were created for Java ME and Windows Mobile, and integrated with a server application installed on a Bluetooth-enabled laptop. For experiments 2 and 3, Context-aware Meeting Room and PainDroid: an Android Application for Pain Management, we looked closely at the research area of Contextawareness. The Context-aware Meeting Room was created to automatically send meeting participants useful meeting notes during presentations. In experiment 3, we investigated the use of on-device sensors for the Android platform, providing an additional input mechanism for a pain management application, where the accelerometer and magnetometer were used. Finally, the last research area we investigated was Remote Information Access, where we conducted experiment 4, Customised Android Home Screen. We created a system that integrated both a cloud-based server application and a mobile client running on the Android platform. We used the cloud-computing platform to provide context management features, such as the ability to store the user configuration that was automatically pushed to the mobile devices.

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Girma, Berhe Hagos Brunie Lionel Pierson Jean-Marc. "Accès et adaptation de contenus multimédia pour les systèmes pervasifs ccess and adaptation of multimedia content for pervasive systems /." Villeurbanne : Doc'INSA, 2006. http://docinsa.insa-lyon.fr/these/pont.php?id=girma.

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Ben, Mabrouk Nebil. "QoS-aware Service-Oriented Middleware for Pervasive Environments." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2012. http://tel.archives-ouvertes.fr/tel-00786466.

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Pervasive computing is an intuitive evolution of computing paradigms driven by the wide adoption of mobile devices and wireless networks. It introduces a novel way to support users in their everyday life based on open and dynamic environments populated with unobtrusive services able to perform user tasks on the fly. Nevertheless, supporting user tasks from a functional point of view is not enough to gain the user's satisfaction. Users instead require that their tasks meet a certain Quality of Service (QoS) level. QoS is indeed an inherent and primary requisite of users going along with their required tasks. In the context of pervasive environments, fulfilling user tasks while delivering satisfactory QoS brings about several challenges that are mainly due to the openness, dynamics, and limited underlying resources of these environments. These challenges are mainly about (i) the lack of common QoS understanding among users and service providers, (ii) determining and integra- ting, on the fly, the services available in the environment and able to fulfill the functional and QoS requirements of users, and (iii) adapting the provided services at run-time to cope with QoS fluctuations and ensure meeting user requirements. To cope with the aforementioned issues, we opt for a middleware-based solution. Middle- ware represents indeed the appropriate software system to deal with common concerns of user applications such as QoS. In particular, we opt for a specific kind of middleware, viz., Ser- vice Oriented Middleware (SOM). SOM can leverage middleware technologies and the Service Oriented Computing (SOC) paradigm to enable pervasive environments as dynamic service en- vironments. Particularly, SOM can provide middleware services that allow for supporting QoS of user applications offered by pervasive environments. This thesis presents a QoS-aware service-oriented middleware for pervasive environments. The main contributions of this middleware are : (1) a semantic end-to-end QoS model that enables shared understanding of QoS in pervasive environments, (2) an efficient QoS-aware service composition approach allowing to build service compositions able to fulfill the user functional and QoS requirements, and (3) a QoS-driven adaptation approach to cope with QoS fluctuations during the execution of service compositions. The proposed contributions are implemented within a middleware platform called QASOM and their efficiency is validated based on experimental results.

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Dragoi, Octavian Andrei. "The Continuum Architecture: Towards Enabling Chaotic Ubiquitous Computing." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/1158.

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Interactions in the style of the ubiquitous computing paradigm are possible today, but only in handcrafted environments within one administrative and technological realm. This thesis describes an architecture (called Continuum), a design that realises the architecture, and a proof-of-concept implementation that brings ubiquitous computing to chaotic environments. Essentially, Continuum enables an ecology at the edge of the network, between users, competing service providers from overlapping administrative domains, competing internet service providers, content providers, and software developers that want to add value to the user experience. Continuum makes the ubiquitous computing functionality orthogonal to other application logic. Existing web applications are augmented for ubiquitous computing with functionality that is dynamically compiled and injected by a middleware proxy into the web pages requested by a web browser at the user?s mobile device. This enables adaptability to environment variability, manageability without user involvement, and expansibility without changes to the mobile. The middleware manipulates self-contained software units with precise functionality (called <i>frames</i>), which help the user interact with contextual services in conjunction with the data to which they are attached. The middleware and frame design explicitly incorporates the possibility of discrepancies between the assumptions of ubiquitous-computing software developers and field realities: multiple administrative domains, unavailable service, unavailable software, and missing contextual information. A framework for discovery and authorisation addresses the chaos inherent to the paradigm through the notion of <i>role assertions</i> acquired dynamically by the user. Each assertion represents service access credentials and contains bootstrapping points for service discovery on behalf of the holding user. A proof-of-concept prototype validates the design, and implements several frames that demonstrate general functionality, including driving discovery queries over multiple service discovery protocols and making equivalences between service types, across discovery protocols.

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Books on the topic "Pervasive Mobile Computing"

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missing], [name. Pervasive computing: The mobile world. 2nd ed. Springer, 2002.

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Pervasive computing and networking. John Wiley & Sons, 2011.

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Anumba, Chimay J., and Xiangyu Wang, eds. Mobile and Pervasive Computing in Construction. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118422281.

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Anumba, C. J., and Xiangyu Wang. Mobile and pervasive computing in construction. Wiley, 2012.

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S, Sorce, ed. Pervasive systems and ubiquitous computing. WIT Press, 2010.

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Guo, Bin, Daniele Riboni, and Peizhao Hu. Creating personal, social, and urban awareness through pervasive computing. Information Science Reference, 2014.

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Pervasive 2010 (2010 Helsinki, Finland). Pervasive computing: 8th international conference, Pervasive 2010, Helsinki, Finland, May 17-20, 2010 : proceedings. Springer, 2010.

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Mukhopadhyay, Subhas Chandra, and Octavian A. Postolache, eds. Pervasive and Mobile Sensing and Computing for Healthcare. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32538-0.

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Pervasive 2004 (2004 Linz, Austria, and Vienna, Austria). Pervasive computing: Second international conference, Pervasive 2004, Linz/Vienna, Austria, April 18-23, 2004 : proceedings. Springer, 2004.

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Pervasive computing: Second international conference, PERVASIVE 2004, Linz/Vienna, Austria, April 18-23, 2004 ; proceedings. Springer, 2004.

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Book chapters on the topic "Pervasive Mobile Computing"

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Varshney, Upkar. "Wireless and Mobile Technologies." In Pervasive Healthcare Computing. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0215-3_4.

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Kabir, Muhammad Ashad, Jun Han, and Alan Colman. "Case Studies: Social Context-Aware Mobile Applications." In Pervasive Social Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29951-8_8.

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Eckert, Claudia. "Security Issues of Mobile Devices." In Security in Pervasive Computing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32004-3_17.

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Li, Jun, Bruce Christianson, and Martin Loomes. "“Fair” Authentication in Pervasive Computing." In Secure Mobile Ad-hoc Networks and Sensors. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11801412_13.

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Lazem, Shaimaa, Ayman Abdel-Hamid, Denis Gračanin, and Kevin P. Adams. "Mobile Virtual Environments in Pervasive Computing." In Computer Communications and Networks. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-599-4_7.

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Hwang, San-Yih, Jeng-Kuen Chiu, and Wan-Shiou Yang. "Personal Workflow Management in Support of Pervasive Computing." In Mobile Data Management. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44498-x_24.

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Haldorai, Anandakumar, Arulmurugan Ramu, and Suriya Murugan. "Mobile and Pervasive Computing for Urban Development." In Urban Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26013-2_1.

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Silverajan, Bilhanan, and Jarmo Harju. "Implementation Frameworks for Mobile and Pervasive Networks." In Pervasive Computing and Networking. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119970422.ch19.

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Jin, Hongxia. "Higher Dependability and Security for Mobile Applications." In Security in Pervasive Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11734666_8.

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Covington, Michael J., Manoj R. Sastry, and Deepak J. Manohar. "Attribute-Based Authentication Model for Dynamic Mobile Environments." In Security in Pervasive Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11734666_17.

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Conference papers on the topic "Pervasive Mobile Computing"

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Shah, Syed Waqar, M. Inayatullah, M. Naeem Arbab, Khawaja M. Yahya, and M. Zahir Khan. "Mobile Agents for Pervasive Computing." In 2007 International Conference on Emerging Technologies (ICET). IEEE, 2007. http://dx.doi.org/10.1109/icet.2007.4516314.

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Xiao, Hannan, James A. Malcolm, Bruce Christianson, and Ying Zhang. "Hierarchical Trustworthy Authentication for Pervasive Computing." In 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services (MobiQuitous). IEEE, 2007. http://dx.doi.org/10.1109/mobiq.2007.4450993.

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Taib, Syakirah Mohamad, Rebecca De Coster, and Janerose Nyamu. "Innovation diffusion of wearable mobile computing: Pervasive computing perspective." In 2016 International Conference on Information Society (i-Society). IEEE, 2016. http://dx.doi.org/10.1109/i-society.2016.7854185.

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Siegemund, Frank, Muhammad Haroon, and Goetz Brasche. "Towards pervasive connectivity in mobile computing settings." In the 4th international workshop. ACM Press, 2006. http://dx.doi.org/10.1145/1169075.1169080.

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Sharma, Anuradha, Omar Farooq, and Praveen Kumar Misra. "Big data in mobile and pervasive computing." In 2017 International Conference on Intelligent Sustainable Systems (ICISS). IEEE, 2017. http://dx.doi.org/10.1109/iss1.2017.8389344.

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Stipkovic, Sebastian, Ralf Bruns, and Jurgen Dunkel. "Pervasive Computing by Mobile Complex Event Processing." In 2013 IEEE 10th International Conference on e-Business Engineering (ICEBE). IEEE, 2013. http://dx.doi.org/10.1109/icebe.2013.49.

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Aimin Lin and Zhenjiang Miao. "Intelligent service gateway for pervasive computing." In IET International Conference on Wireless Mobile and Multimedia Networks Proceedings (ICWMMN 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20061586.

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Siebert, Joanna Izabela, Jiannong Cao, Long Cheng, Edwin Wei, Canfeng Chen, and Jian Ma. "Decentralized service composition in pervasive computing environments." In the 6th International Wireless Communications and Mobile Computing Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1815396.1815684.

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Fantacci, Romano, Daniele Tarchi, and Andrea Tassi. "A Novel Routing Algorithm for Mobile Pervasive Computing." In GLOBECOM 2010 - 2010 IEEE Global Communications Conference. IEEE, 2010. http://dx.doi.org/10.1109/glocom.2010.5683765.

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Lee, Jooyoung, and Dowon Hong. "Pervasive Forensic Analysis Based on Mobile Cloud Computing." In 2011 3rd International Conference on Multimedia Information Networking and Security (MINES). IEEE, 2011. http://dx.doi.org/10.1109/mines.2011.77.

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Reports on the topic "Pervasive Mobile Computing"

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Chen, Guanling, and David Kotz. Solar: A Pervasive-Computing Infrastructure for Context-Aware Mobile Applications. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada440303.

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