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Relevant bibliographies by topics / Pervasive / ubiquitous computing

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Academic literature on the topic 'Pervasive / ubiquitous computing'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Pervasive / ubiquitous computing"

1

Mattern, Friedemann. "Pervasive/Ubiquitous Computing." Informatik-Spektrum 24, no. 3 (2001): 145–47. http://dx.doi.org/10.1007/s002870100158.

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Schek, Hans-Jörg. "Ubiquitous Computing and Pervasive Health Care." Yearbook of Medical Informatics 14, no. 01 (2005): 01–03. http://dx.doi.org/10.1055/s-0038-1638452.

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Singh, Sachin, Sushil Puradkar, and Yugyung Lee. "Ubiquitous computing: connecting Pervasive computing through Semantic Web." Information Systems and e-Business Management 4, no. 4 (2005): 421–39. http://dx.doi.org/10.1007/s10257-005-0003-8.

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Hussain, Chaudhary Sajjad, Chaudhary Shafique Ahmed, Ali Hammad Akbar, Ali Kashif Bashir, Ki-Hyung Kim, and Won-Sik Yoon. "Ubiquitous Service Discovery in Pervasive Computing Environment." Information Technology Journal 7, no. 3 (2008): 533–36. http://dx.doi.org/10.3923/itj.2008.533.536.

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Khalfi, Mohammed Fethi, and Sidi Mohamed Benslimane. "Meta Model Context Based Space for Ubiquitous Computing." International Journal of Advanced Pervasive and Ubiquitous Computing 7, no. 2 (2015): 51–66. http://dx.doi.org/10.4018/ijapuc.2015040105.

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Pervasive computing is a paradigm that focuses on the availability of computer resources anytime anywhere for any application and supports integration of computing services into everyday life. Context awareness is the core feature of pervasive computing. High-level context awareness can be enhanced by situation awareness that represents the ability to detect and reason about the real-life situations. In this paper, in order to deal with the problem in context-aware modeling in pervasive computing environments, the authors present a comprehensive and integrated approach for context modeling. They first propose a Meta model context based on ontology for Pervasive Computing aiming firstly to overcome the limitations of the existing ontologies, and secondly extend its capabilities by adding new environmental aspects. They divide the context model into Meta Ontology level and Domain-specific Ontology level according to the abstraction hierarchy. The Meta Ontology is the high abstract level which extracting the basic elements of the context knowledge. The Domain-specific Ontology is the lower abstract lever which focusing on different domains knowledge, directed by the Meta Ontology. The advantage is that it can provide a flexible modeling mechanism for multiple applications of context-aware pervasive computing. A case study of HealthCare domain is given to illustrate the practicality of the authors' Model.

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Zhao, Rongying, and Ju Wang. "Visualizing the research on pervasive and ubiquitous computing." Scientometrics 86, no. 3 (2010): 593–612. http://dx.doi.org/10.1007/s11192-010-0283-8.

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Zhang, Jing, Li Wei Zhang, and Guang Yu Wang. "Research on Context-Ware Technology in Ubiquitous Learning." Applied Mechanics and Materials 670-671 (October 2014): 1659–62. http://dx.doi.org/10.4028/www.scientific.net/amm.670-671.1659.

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Ubiquitous learning in pervasive computing is the future way of learning environment. This paper briefly introduces the pervasive learning and its characteristics, through the analysis of a typical ubiquitous learning system, on how to implement context aware technology research, and proposed a general pervasive learning context aware model.

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Villanueva, Felix J., Francisco Moya, Fernando Rincon Santofimia, David Villa, Jesus Barba, and Juan Carlos Lopez. "Towards a Unified Middleware for Ubiquitous and Pervasive Computing." International Journal of Ambient Computing and Intelligence 1, no. 1 (2009): 53–63. http://dx.doi.org/10.4018/jaci.2009010105.

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Beresford, A., C. K. Kallo, U. Kretschmer, F. Mattern, and M. Muehlenbrock. "The first summer school on ubiquitous and pervasive computing." IEEE Pervasive Computing 2, no. 1 (2003): 84–88. http://dx.doi.org/10.1109/mprv.2003.1274024.

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Landay, J. A., and R. C. Davis. "Making sharing pervasive: Ubiquitous computing for shared note taking." IBM Systems Journal 38, no. 4 (1999): 531–50. http://dx.doi.org/10.1147/sj.384.0531.

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Dissertations / Theses on the topic "Pervasive / ubiquitous computing"

1

Zeidler, Andreas. "A Distributed Publish/Subscribe Notification Service for Pervasive Environments." Phd thesis, [S.l.] : [s.n.], 2005. http://elib.tu-darmstadt.de/diss/000519.

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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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Schiele, Gregor Alexander. "System support for spontaneous pervasive computing environments." kostenfrei, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?idn=985989661.

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Schiele, Gregor. "System support for spontaneous pervasive computing environments." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-32709.

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Hu, Haoyu, and 胡昊宇. "ContextTorrent: a context provisioning framewrok for pervasive applications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47028488.

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Nguyen, Tammy. "Context-aware access control in pervasive computing environments." Online access for everyone, 2005. http://www.dissertations.wsu.edu/Thesis/Summer2005/t%5Fnguyen%5F061005.pdf.

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Blackstock, Michael Anthony. "A common model for ubiquitous computing." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2478.

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Ubiquitous computing (ubicomp) is a compelling vision for how people will interact with multiple computer systems in the course of their daily lives. To date, practitioners have created a variety of infrastructures, middleware and toolkits to provide the flexibility, ease of programming and the necessary coordination of distributed software and hardware components in physical spaces. However, to-date no one approach has been adopted as a default or de-facto standard. Consequently the field risks losing momentum as fragmentation occurs. In particular, the goal of ubiquitous deployments may stall as groups deploy and trial incompatible point solutions in specific locations. In their defense, researchers in the field argue that it is too early to standardize and that room is needed to explore specialized domain-specific solutions. In the absence of an agreed upon set of standards, we argue that the community must consider a methodology that allows systems to evolve and specialize, while at the same time allowing the development of portable applications and integrated deployments that work between between sites. To address this we studied the programming models of many commercial and research ubicomp systems. Through this survey we gained an understanding of the shared abstractions required in a core programming model suitable for both application portability and systems integration. Based on this study we designed an extensible core model called the Ubicomp Common Model (UCM) to describe a representative sample of ubiquitous systems to date. The UCM is instantiated in a flexible and extensible platform called the Ubicomp Integration Framework (UIF) to adapt ubicomp systems to this model. Through application development and integration experience with a composite campus environment, we provide strong evidence that this model is adequate for application development and that the complexity of developing adapters to several representative systems is not onerous. The performance overhead introduced by introducing the centralized UIF between applications and an integrated system is reasonable. Through careful analysis and the use of well understood approaches to integration, this thesis demonstrates the value of our methodology that directly leverages the significant contributions of past research in our quest for ubicomp application and systems interoperability.

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Grimm, Robert. "System support for pervasive applications /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/6972.

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Arabi, Agha Ihab. "Distributed and adaptive approaches for ubiquitous and pervasive computing." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCA025.

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Le paradigme d'émergence spontanée de services (Spontaneous Emergence Paradigm, SEP) pour la mise en œuvre de l’informatique omniprésente ou diffuse (pervasive computing), consiste à fournir des services aux utilisateurs en fonction de leur environnement ad hoc. Ce paradigme a prouvé son efficacité et son adéquation aux applications distribuées sensibles au contexte. Ce travail se concentre sur deux aspects liés à la mise en œuvre des services SEP. Le premier se distingue de ce qui est proposé dans la littérature, par une approche physiologique de « Dead Reckoning » (Physiological Pedestrian Dead Reckoning Approach, PDR), qui permet de corriger les erreurs de positionnement à partir de données physiologiques comme la fréquence cardiaque et la vitesse de déplacement. Cette approche utilise des modèles stochastiques, qui reposent sur la distribution des probabilités des fréquences cardiaques précédemment collectées par rapport à la vitesse de déplacement de l’utilisateur (par exemple, par apprentissage via une marche sur un tapis roulant). Le modèle proposé permet ainsi d’ajuster les vitesses lues dans n’importe quel futur système PDR. Le deuxième aspect de cette recherche concerne la détection de réseaux d’affinités (Social Relationship Detection framework, SRD). Cette approche propose d’explorer le niveau d’affinité entre personnes en fonction de leur connexions et interactions selon plusieurs conditions. Ces connexions à des bornes WAP (Wireless Access Point), par rapport à chaque condition, sont consolidées pour former des distributions de probabilités. Par la suite, ces distributions de probabilités sont introduites dans un réseau de neurones (back propagation neural network) pour détecter et déterminer les affinités entre utilisateurs. Cette approche permet une prise de décision adaptative à chaque connexion au WAP et selon le comportement de l’utilisateur, contrairement aux approches classiques reposant uniquement sur une connaissance globale au préalable de la convergence des attributs des utilisateurs concernés<br>Service Emergence Paradigm (SEP), based on a pervasive computing approach, consists of providing services to users within intended applications, transparently from their intentions, relatively to their needs, and regardless of the time and devices used. This considered paradigm has been proved sufficiently in applications that have context awareness schemes and various working threads. This research focuses on two aspects for providing SEP services. This first aspect is to implement a Physiological Pedestrian Dead Reckoning Approach (PPDR) that corrects position errors in pedestrian dead reckoning systems based on the heart rate parameter. This approach uses specific stochastic models that rely on probability distributions of previously collected heart rate values with respect to their velocities of a user during a treadmill walk. The reason behind this collection is to form a pattern that contributes in adjusting currently read velocities in any future PDR system. The second aspect of this research is the Social Relationship Detection framework (SRD). This approach proposes a mean for exploring the level of relationship between people by observing the network connection pattern of each person over several conditions. These connections, with respect to each condition, are consolidated to form a set that holds different probability distributions. These distributions are formed based on the users’ Wireless Access Point (WAP) connection establishment routine. Afterwards, the distributions of the probabilities are fed into a trained back propagation neural network to detect the level of relationship between candidate users for forthcoming friendship recommendations. This approach is elaborated in a technique that achieves intelligent decision-making whenever the connection pattern to the WAP and the user behavior are changing with time. It is also distinguished from other classical approaches that rely solely on prior knowledge of the convergence of the users’ attributes

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Baloch, Raheel Ali. "Context dependency analysis in ubiquitous computing." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00714129.

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To provide users with personalized adaptive services only using the accessible computing resources in a cloud environment, context aware applications need to assimilate both the accessed and derived context, i.e. a combination of more than one sensed data and information in the environment. Context data dependency, dependency that arises between the context data producer and consumer, may get introduced in a system due to numerous reasons. But as the number of context dependencies for a service increases, the more complex the system becomes to manage. The thesis addresses issues of how to identify context dependencies, represent such context dependencies and then reduce them in a system. In the first part of the thesis, we present two efficient approaches to determine context dependency relations among various services in ubiquitous computing environment to help better analyse the pervasive services. One approach is based on graph theory, and we have used the topological sort to determine the context dependencies. The second approach is based on solving constraint networks which determines whether an entity is affected when the state of a certain other entity has its state changed, i.e. determining the dynamic nature of context dependency. In the second part of the thesis, we present a mode for representation of context dependencies within a system. Our model that represents context dependencies is based on set theory and first-order predicate logic. The context dependency representation model also represents alternative sources for context acquisition that can be utilized in a case in which the preferred context producers are not available to service the desired context to the relevant context consumer any more. Further, we try to reduce the context dependencies by presenting the idea of profile context, which is based on the proposal of an open framework for context acquisition, management and distribution. This heuristic approach is based on the idea of utilizing mobile nodes in an ad hoc overlay network with more resources than the context producer itself to store various contextual information under the banner of profile context, and further, provide profile context instead of each context individually based on the queries the nodes receive from the context consumers. Bringing together the context information and context updates from various sources, support for context aware decisions can be implemented efficiently in a mobile environment by addressing the issues of context dependency using profile context

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Books on the topic "Pervasive / ubiquitous computing"

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Pervasive computing. Nova Science Publishers, 2010.

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K, kokula Krishna Hari, ed. Ubiquitous/Pervasive Computing: ICCCEG 2014. Association of Scientists, Developers and Faculties, 2014.

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

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

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Gao, Tao. Global applications of pervasive and ubiquitous computing. Information Science Reference, 2013.

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Perspectives in Pervasive Computing (Conference) (2005 London, England). Perspectives in pervasive computing: 25 October 2005. Institution of Electrical Engineers, 2005.

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

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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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Malatras, Apostolos. Pervasive computing and communications design and deployment: Technologies, trends and applications. Information Science Reference, 2011.

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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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Book chapters on the topic "Pervasive / ubiquitous computing"

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Van Laerhoven, Kristof. "The Pervasive Sensor." In Ubiquitous Computing Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11526858_1.

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Helal, Sumi. "Programming Pervasive Spaces." In Ubiquitous Intelligence and Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16355-5_1.

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Ni, Hongbo, Xingshe Zhou, Daqing Zhang, and Ngoh Lek Heng. "Context-Dependent Task Computing in Pervasive Environment." In Ubiquitous Computing Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11890348_10.

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Zhang, Yaoxue, and Yuezhi Zhou. "Transparent Computing: A New Paradigm for Pervasive Computing." In Ubiquitous Intelligence and Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11833529_1.

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Kong, C. Y., C. L. Wang, and F. C. M. Lau. "Ontology Mapping in Pervasive Computing Environment." In Embedded and Ubiquitous Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30121-9_97.

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Wolf, Wayne. "Cameras and Pervasive Information Systems." In Embedded and Ubiquitous Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30121-9_106.

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Godara, Varuna. "Pervasive Computing." In Ubiquitous and Pervasive Computing. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-960-1.ch020.

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Pervasive computing is trying to make the dreams of the science fiction writers come true—where you think of some type of convenience and you have it. It appears that pervasive computing is allowing tiny computers, sensors, networking technologies, and human imagination to blend and mould into new products and services. This chapter introduces pervasive computing, grid computing, and ambient intelligence with explanation of how these technologies are merging to create sensor embedded smart environments. Along with description and scope of e-business and m-business, different views of p-business are illustrated. Finally, different smart environments including smart consumer-to-consumer, smart value systems, smart p-education, p-governance, and so forth, are explained.

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Li, Grace. "Deciphering Pervasive Computing." In Ubiquitous and Pervasive Computing. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-960-1.ch090.

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Pervasive computing and communications is emerging rapidly as an exciting new paradigm and discipline to provide computing and communication services all the time and everywhere. Its systems are now invading every aspect of life to the point that they are disappearing inside all sorts of appliances or can be worn unobtrusively as part of clothing and jewelry. This emergence is a natural outcome of research and technological advances in wireless networks, embedded systems, mobile computing, distributed computing, and agent technologies. At the same time, this emergence brings challenging issues to the legal framework surrounding it. As well recognized, law is a discipline that has direct relevance to human behaviour and its adjoining environment. Thus, a study of law can be a study of the living environment and the people who are in it. This surely brings difficulties for us to study the law in a future scenario such as pervasive computing environment. Attempting to forecast the future of law, technology, and human behavior is a very risky proposition. Hence, it is impossible to fully discuss topics such as “legal aspects of pervasive computing”. This chapter aims to provide a general observation of various legal issues connecting with pervasive computing technologies. To avoid a skeleton introduction piece, the main part of this chapter concentrates on three particular issues: Jurisdiction and the choice of law issue, electronic fraud issue, and the privacy issue. These three are unsettled issues in the current computing environment and believed to become more complicated and controversial in the near future with a wider adoption of ubiquitous computing technology. In the end, this chapter suggests that, to serve the future computing environment better, the legal and regulatory framework should focus on the improvement of internal monitoring of risks and vulnerabilities greater information sharing about these risks and vulnerabilities. Moreover, the role of government should focus on education and training on the care and use of these technologies and better reporting of risks and responses. A fully embedded computing environment that is safe and sound to live in will need more collaboration between individuals, commercial organizations, and the government.

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Loureiro, Emerson, Glauber Ferreira, Hyggo Almeida, and Angelo Perkusich. "Pervasive Computing." In Ubiquitous and Pervasive Knowledge and Learning Management. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-483-5.ch001.

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In this chapter, we introduce the key ideas related to the paradigm of pervasive computing. We discuss its concepts, challenges, and current solutions by dividing it into four research areas. Such division is how we were able to understand what really is involved in pervasive computing at different levels. Our intent is to provide readers with introductory theoretical support in the selected research areas to aid them in their studies of pervasive computing. Within this context, we hope the chapter can be helpful for researchers of pervasive computing, mainly for the beginners, and for students and professors in their academic activities.

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Pynnönen, Mikko, Jukka Hallikas, Petri Savolainen, and Karri Mikkonen. "Ubiquitous Communication." In Ubiquitous and Pervasive Computing. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-960-1.ch065.

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This chapter explores the implications of knowledge sharing in an era of pervasive computing, and concludes that, perhaps counter-intuitively, people will need to come together more to establish the trust that is necessary for effective knowledge sharing. Practices such as team-work should result in closer ties between peers, and this relationship can encourage increased sharing of knowledge related to the work at hand. With the advent of pervasive computing, the question can be asked as to what the impact of this technology could/will have on the sharing of knowledge in a team situation. At the same time, the changing attitudes to how knowledge is acquired make it even more important that knowledge is acquired in its historical context, which may be best achieved by person-to-person knowledge transfer. It is argued that these social aspects will be more important in a world of pervasive computing than in conventional businesses.

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Conference papers on the topic "Pervasive / ubiquitous computing"

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Bakhouya, Mohamed. "Ubiquitous and pervasive computing." In the 3rd workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1568181.1568183.

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Freeman, M., and C. Bailey. "Designing a ubiquitous computing development kit." In Perspectives in Pervasive Computing. IET, 2005. http://dx.doi.org/10.1049/ic.2005.0791.

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Want, Roy, and Trevor Pering. "System challenges for ubiquitous & pervasive computing." In the 27th international conference. ACM Press, 2005. http://dx.doi.org/10.1145/1062455.1062463.

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Kameas, Achilles, and George Roussos. "Special track on Ubiquitous Computing: Ubiquitous and Pervasive eCommerce and eBusiness." In the 2008 ACM symposium. ACM Press, 2008. http://dx.doi.org/10.1145/1363686.1364068.

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Yang, Laurence T. "Ubiquitous/pervasive intelligence: Visions and challenges." In 2009 IEEE International Conference on Granular Computing (GRC). IEEE, 2009. http://dx.doi.org/10.1109/grc.2009.5255136.

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Walker, Jessie J., Travis Jones, Mansour Mortazavi, and Roy Blount. "Cyber Security Concerns for Ubiquitous/Pervasive Computing Environments." In 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2011. http://dx.doi.org/10.1109/cyberc.2011.53.

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Yang, Laurence T. "Ubiquitous/Pervasive Intelligence: Visions and Challenges." In 2007 2nd International Conference on Pervasive Computing and Applications. IEEE, 2007. http://dx.doi.org/10.1109/icpca.2007.4365400.

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Meng, H., N. E. Pears, and C. Bailey. "FPGA based video processing system for ubiquitous applications." In Perspectives in Pervasive Computing. IET, 2005. http://dx.doi.org/10.1049/ic.2005.0787.

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"UBIQUITOUS COMPUTING NEEDS UBIQUITOUS SOFTWARE - A General-Purpose Computation Model." In International Conference on Pervasive and Embedded Computing and Communication Systems. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003404302430249.

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Egami, Koichi, Shinsuke Matsumoto, and Masahide Nakamura. "Ubiquitous cloud: Managing service resources for adaptive ubiquitous computing." In 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, 2011. http://dx.doi.org/10.1109/percomw.2011.5766853.

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