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Journal articles on the topic 'Ubiquitous computing'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 December 2024

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1

Quilici-Gonzalez, J. A., G. Kobayashi, M. C. Broens, and M. E. Q. Gonzalez. "Ubiquitous Computing." International Journal of Technoethics 1, no. 3 (July 2010): 11–23. http://dx.doi.org/10.4018/jte.2010070102.

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In this article, the authors investigate, from an interdisciplinary perspective, possible ethical implications of the presence of ubiquitous computing systems in human perception/action. The term ubiquitous computing is used to characterize information-processing capacity from computers that are available everywhere and all the time, integrated into everyday objects and activities. The contrast in approach to aspects of ubiquitous computing between traditional considerations of ethical issues and the Ecological Philosophy view concerning its possible consequences in the context of perception/action are the underlying themes of this paper. The focus is on an analysis of how the generalized dissemination of microprocessors in embedded systems, commanded by a ubiquitous computing system, can affect the behaviour of people considered as embodied embedded agents.

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2

Sillence, Elizabeth, and Pam Briggs. "Ubiquitous Computing." Social Science Computer Review 26, no. 1 (February 2008): 6–12. http://dx.doi.org/10.1177/0894439307307680.

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3

Frisse, M. E. "Ubiquitous computing." Academic Medicine 67, no. 10 (October 1992): 642–4. http://dx.doi.org/10.1097/00001888-199210000-00004.

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4

Resnick, Marc L. "Ubiquitous Computing." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 57, no. 1 (September 2013): 1007–11. http://dx.doi.org/10.1177/1541931213571225.

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5

Barton, John J., Renato Cerqueira, and Marcus Fontoura. "Ubiquitous computing." Journal of Systems and Software 69, no. 3 (January 2004): 207. http://dx.doi.org/10.1016/s0164-1212(03)00051-7.

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6

Hayat, Zia, Jeff Reeve, and Chris Boutle. "Ubiquitous security for ubiquitous computing." Information Security Technical Report 12, no. 3 (2007): 172–78. http://dx.doi.org/10.1016/j.istr.2007.05.002.

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7

Warren, P. W. "From Ubiquitous Computing to Ubiquitous Intelligence." BT Technology Journal 22, no. 2 (April 2004): 28–38. http://dx.doi.org/10.1023/b:bttj.0000033468.54111.2a.

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8

Islam, Nayeem, and Mohamed Fayad. "Toward ubiquitous acceptance of ubiquitous computing." Communications of the ACM 46, no. 2 (February 2003): 89–92. http://dx.doi.org/10.1145/606272.606302.

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9

Charles, J. "Ubiquitous Computing Uncorked." IEEE Software 16, no. 2 (March 1999): 97–99. http://dx.doi.org/10.1109/ms.1999.754064.

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10

McLeod, Amanda, and Andrew L. Kun. "Ubiquitous Computing Education." IEEE Pervasive Computing 18, no. 3 (July 1, 2019): 59–62. http://dx.doi.org/10.1109/mprv.2019.2926655.

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11

Baber, Chris. "Ubiquitous Computing Fundamentals." Ergonomics 53, no. 5 (April 27, 2010): 724–25. http://dx.doi.org/10.1080/00140131003769050.

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12

Zittrain, Jonathan. "Ubiquitous human computing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1881 (July 31, 2008): 3813–21. http://dx.doi.org/10.1098/rsta.2008.0116.

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Ubiquitous computing means network connectivity everywhere, linking devices and systems as small as a drawing pin and as large as a worldwide product distribution chain. What could happen when people are so readily networked? This paper explores issues arising from two possible emerging models of ubiquitous human computing: fungible networked brainpower and collective personal vital sign monitoring.

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13

Milner, Robin. "Understanding ubiquitous computing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1881 (July 31, 2008): 3835–36. http://dx.doi.org/10.1098/rsta.2008.0121.

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14

Ogiela, Marek R., Ilsun You, Fang-Yie Leu, and Yu-Chee Tseng. "Secure ubiquitous computing." Pervasive and Mobile Computing 24 (December 2015): 1–3. http://dx.doi.org/10.1016/j.pmcj.2015.09.005.

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15

Mattern, Friedemann. "Pervasive/Ubiquitous Computing." Informatik-Spektrum 24, no. 3 (June 1, 2001): 145–47. http://dx.doi.org/10.1007/s002870100158.

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16

Thoroe, Lars, Matthias Schumann, and Malte Schmidt. "Green Ubiquitous Computing." HMD Praxis der Wirtschaftsinformatik 47, no. 4 (August 2010): 56–64. http://dx.doi.org/10.1007/bf03340493.

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17

Nawaz, Saad. "Ubiquitous Computing and Qtopia." Ubiquitous Learning: An International Journal 1, no. 1 (2009): 33–44. http://dx.doi.org/10.18848/1835-9795/cgp/v01i01/40459.

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18

ADACHI, KATSUMI. "What is Ubiquitous Computing?" Journal of the Institute of Electrical Engineers of Japan 123, no. 11 (2003): 748–51. http://dx.doi.org/10.1541/ieejjournal.123.748.

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19

Bruns, Wilhelm. "UBIQUITOUS COMPUTING AND ACTION." IFAC Proceedings Volumes 39, no. 4 (2006): 23–28. http://dx.doi.org/10.3182/20060522-3-fr-2904.00005.

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20

Waller, Vivienne, and Robert B. Johnston. "Making ubiquitous computing available." Communications of the ACM 52, no. 10 (October 2009): 127–30. http://dx.doi.org/10.1145/1562764.1562796.

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21

Karnow, Curtis E. A. "Ubiquitous Computing, and Time." Leonardo 33, no. 1 (February 2000): 1–2. http://dx.doi.org/10.1162/002409400552108.

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22

Rossi, Luis Sebastián Ramón. "Perspectives on ubiquitous computing." PAAKAT: Revista de Tecnología y Sociedad 10, no. 18 (February 28, 2020): 138–24. http://dx.doi.org/10.32870/pk.a10n18.410.

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23

Garfield, Monica J. "Acceptance of Ubiquitous Computing." Information Systems Management 22, no. 4 (September 2005): 24–31. http://dx.doi.org/10.1201/1078.10580530/45520.22.4.20050901/90027.3.

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24

Yan, Lu. "On Teaching Ubiquitous Computing." IEEE Distributed Systems Online 8, no. 7 (July 2007): 4. http://dx.doi.org/10.1109/mdso.2007.45.

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25

Want, R., T. Pering, G. Borriello, and K. I. Farkas. "Disappearing hardware [ubiquitous computing]." IEEE Pervasive Computing 1, no. 1 (January 2002): 36–47. http://dx.doi.org/10.1109/mprv.2002.993143.

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26

Martin, T. "Wearable and ubiquitous computing." IEEE Pervasive Computing 2, no. 3 (July 2003): 8–12. http://dx.doi.org/10.1109/mprv.2003.1228521.

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27

Pfeifer, Tom. "Special Issue: Ubiquitous Computing." Computer Communications 26, no. 11 (July 2003): 1129–30. http://dx.doi.org/10.1016/s0140-3664(02)00247-5.

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28

van den Broek, Egon L. "Ubiquitous emotion-aware computing." Personal and Ubiquitous Computing 17, no. 1 (October 15, 2011): 53–67. http://dx.doi.org/10.1007/s00779-011-0479-9.

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29

Jo, Sun-Moon, Yu-Keum Jeong, and Jungsoo Han. "Communication and Ubiquitous Computing." Wireless Personal Communications 86, no. 1 (November 14, 2015): 1–6. http://dx.doi.org/10.1007/s11277-015-3127-2.

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30

Scholtz, Jean. "Ubiquitous computing goes mobile." ACM SIGMOBILE Mobile Computing and Communications Review 5, no. 3 (July 2001): 32–38. http://dx.doi.org/10.1145/584051.584054.

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31

Velásquez-Pérez, T., J. A. Camargo-Pérez, and A. M. Rodríguez-Chinchilla. "Evolution of ubiquitous computing." Journal of Physics: Conference Series 1587 (July 2020): 012019. http://dx.doi.org/10.1088/1742-6596/1587/1/012019.

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32

Zaharakis, Ioannis, and Andreas Komninos. "Ubiquitous computing multidisciplinary endeavour." IEEE Latin America Transactions 10, no. 3 (April 2012): 1850–52. http://dx.doi.org/10.1109/tla.2012.6222593.

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33

Weiser, M. "Hot topics-ubiquitous computing." Computer 26, no. 10 (1993): 71–72. http://dx.doi.org/10.1109/2.237456.

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34

Schilit, B. N., and U. Sengupta. "Device ensembles [ubiquitous computing." Computer 37, no. 12 (December 2004): 56–64. http://dx.doi.org/10.1109/mc.2004.241.

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35

Schmandt, Chris, and Mark Ackerman. "Personal and Ubiquitous Computing." Personal and Ubiquitous Computing 8, no. 6 (October 23, 2004): 389–90. http://dx.doi.org/10.1007/s00779-004-0306-7.

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36

Bruns, F. Wilhelm. "Ubiquitous computing and interaction." Annual Reviews in Control 30, no. 2 (January 2006): 205–13. http://dx.doi.org/10.1016/j.arcontrol.2006.09.002.

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37

Tatama Fori, Barka, Ipole Nancy, Lawal Ibrahim, Onu Egena, and Maikori Jenom. "Ubiquitous Computing in Healthcare." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 4 (July 15, 2024): 209–12. http://dx.doi.org/10.62225/2583049x.2024.4.4.3026.

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Raising sophistication and cost in medicine and healthcare services is a major global issue, sophisticated ubiquitous computing also called pervasive computing applications are gearing up to this challenge, with sensors embedded into our daily devices it is becoming easier to put these devices in a computing grid and collect patient’s data more frequently than performing a routine checkup. Ubiquitous computing can help manage critical cases because the patients will be monitored more closely and emergency situations will be attended to a lot quicker and the medical experts and the system will be aware of any raising health issue. Ubiquitous computing allows patients records to be accessed anywhere anytime meaning an ambulance can be approaching a scene and pulling up the medical records of patient to act on the issue as it arises. This is could very well be the foundation for smart hospitals or smart healthcare.

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38

Barbosa, Jorge Luis Victória, Débora Nice Ferrari Barbosa, and André Wagner. "Learning in Ubiquitous Computing Environments." International Journal of Information and Communication Technology Education 8, no. 3 (July 2012): 64–77. http://dx.doi.org/10.4018/jicte.2012070108.

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The application of ubiquitous technologies in the improvement of education strategies is called Ubiquitous Learning. GlobalEdu is a model created to support ubiquitous learning. The model has the necessary support to implement learning-related functionalities in ubiquitous environments. The basic ubiquitous computing support must be supplied by a middleware where GlobalEdu lays atop. This article proposes the GlobalEdu model and its integration with two ubiquitous middlewares: ISAM and LOCAL. ISAM supports the creation of large-scale ubiquitous systems. As such, its integration with GlobalEdu results in large-scale ubiquitous learning environments. LOCAL is dedicated to create small-scale ubiquitous learning environments. The integration GlobalEdu/LOCAL results in a local ubiquitous learning environment. Based on this small-scale environment, the authors’ created a system and applied it in a practical scenario involving the community of a Computer Engineering undergraduate course. The system was positively evaluated by 20 individuals and the initial results attest the system’s usefulness.

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39

Wang, Hui, Fengjun Zhang, Hong Jin, Danli Wang, Hongan Wang, and Guozhongi Da. "DESIGNING HUMAN-CENTRED UBIQUITOUS COMPUTING." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 9, no. 2 (January 2005): 33–46. http://dx.doi.org/10.3233/jid-2005-9203.

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We are entering the age of Ubiquitous Computing, and its most distinguished advantage is invisibility of computing. The essence of invisible computing is the invisibility of Human-computer Interaction, as people can focus their attention on the content instead of the tools they are using. This paper studies how to make computers invisible, and proposes a framework of online invisible computing and offline invisible computing. Online invisible computing is Intelligent Human Computer Interaction, where the computers function as intelligent agents; whereas offline invisible computing as in Natural Human Computer Interaction, people are able to use the computers without much conscious effort. This paper focuses the study on offline invisible computing which needs only minimal users' attention when the users are using computers. The paper attempts to realize invisible computing with Affordances, especially designing Action Affordances in computers. In the Ubiquitous Computing age, the computers would not only be invisible but also be embedded in the environment where people are living, so Human-Computer Interaction could not be separated from the environment any more; User & Environment Centred Design (UECD), a new designing method for ubiquitous computing is also proposed in this paper. A Pen Based User Interface system is developed as the first step to invisible computing.

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40

Al-Roubaiey, Anas, and M. AL-Rhman Alkhiaty. "QoS-Aware Middleware for Ubiquitous Environment: A Review and Proposed Solution." Journal of Computational Engineering 2014 (March 19, 2014): 1–7. http://dx.doi.org/10.1155/2014/725960.

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Ubiquitous computing has introduced a new era of computing. Compared to traditional distributed systems, ubiquitous computing systems feature increased dynamism and heterogeneity. In traditional computing environments (mainframe and PC), users actively choose to interact with computers. Ubiquitous computing applications are likely to be different, where computing systems are available anywhere but not visible. The underlying ubiquitous computing infrastructures are more complex and bring up many issues. In this work we survey the literature to demonstrate, in detail, the characteristics and the challenges of the ubiquitous computing as well as the requirements for building ubiquitous software that brings these characteristics into reality. Furthermore we present some existing middleware solutions for ubiquitous environments, and propose our middleware-based architecture to facilitate the user interaction in such environment. To the best of our knowledge this is the first work proposing DDS-based solution for ubiquitous computing as a unified middleware.

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41

Bruce, Bertram C. "Symposium 2: Ubiquitous learning, ubiquitous computing, and lived experience." Proceedings of the International Conference on Networked Learning 6 (May 5, 2008): 583–90. http://dx.doi.org/10.54337/nlc.v6.9381.

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Ubiquitous learning implies a vision of learning which is connected across all the stages on which we play out our lives. Learning occurs not just in classrooms, but in the home, the workplace, the playground, the library, museum, and nature center, and in our daily interactions with others. Moreover, learning becomes part of doing; we don't learn in order to live more fully, but rather learn as we live to the fullest. It is understandable to see ubiquitous computing necessary for this kind of ubiquitous learning and sufficient to make it possible. Education would certainly be easier to promote if we could simply identify some new technologies that would make ubiquitous learning occur. But the new technologies are neither necessary nor sufficient for this to happen. This chapter argues that it is our vision for ubiquitous learning that matters most, not simply the technical affordances. We need to define ubiquitous learning in an historically legitimate way, one which recognizes the possibilities afforded by the new technologies without reducing the argument to a technocentric position. In 1946, Gwladys Spencer taught about audiovisual materials using a remarkable list. It included expected items such as "blackboards and bulletin boards," but many unexpected ones as well. She included television (in 1946!), showing that she had foresight about its eventual prominence as a communications medium. She also included tools for investigation, such as microscopes, and "models, objects, specimens." She clearly saw that AV materials were more than simply devices for transmitting information. But more striking still is the inclusion of "pantomimes, playlets, pageants, puppet shows, shadow plays" and "trips, journeys, tours, visits." The presence of these says that she saw all of the elements of her list as opportunities for enriching experiences, rather than simply as media for transmitting information. Aside from the details of which tools she had available, the list shows that Spencer had a broad view of how libraries could support learning and, more important, a vision of what learning could be. Today, we are excited about multimedia in education. But what we often mean is simply that a computer display can show students moving pictures with sound. Interactivity is an important additional component. But our vision of what that multimedia really means for learning needs to go beyond the technical features of the display to consider what students can do and how they can extract meaning from their own experiences. Spencer saw that there were many tools and media that could enhance learning. She drew from traditional as well as emerging technologies to lay out a spectrum of possibilities for teaching and learning. Her list suggests an openness to diverse ways of learning and, moreover, a view of learners as active constructors of meaning. In so doing, she shows that ubiquitous learning depends more upon our pedagogy than on our technology. Our vision of ubiquitous learning must maintain at its core a concept of those fundamental human skills. We feel that ubiquitous computing technologies help us solve problems, create/access knowledge, and build community. We feel that they do it in a way that links work, family and friends, learning, and life. But the very seamlessness of these technologies is seductive. Ellul's concept of the technological milieu is still a propos: "Every technique makes a fundamental appeal to the unconscious." (1964 p. 403). We need to ensure that employing new technologies enhances rather than diminishes our capacity to develop as whole human beings.

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42

Rath, Mamata. "Technical and Operational Utility of Ubiquitous Devices with Challenging Issues in Emerging Ubiquitous Computing." International Journal of Mobile Devices, Wearable Technology, and Flexible Electronics 9, no. 1 (January 2018): 16–35. http://dx.doi.org/10.4018/ijmdwtfe.2018010102.

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Ubiquitous computing is an advanced technology in the age of wireless networks that supports infiltration, activation and interconnectability of all the electronic and sensor-based objects related to everyday issues, and in this manner endeavours to empower a ubiquitous stream of information and data by coordinating learning and training. Ubiquitous computing is the method of enhancing computer-based computations by making use of many computers available throughout the physical environment, but making them effectively invisible to the user. The advanced technology of science and networks is instinctively welcoming the introduction of this revolutionary computing concept that guarantees to profoundly affect the way the authors associate with computing machineries, electronic gadgets, mobile devices, cyber spaces, and related peripherals. This new emerging technology of ubiquitous computing imagines a world where inserted processors, PCs, sensors, and advanced correspondences are reasonable products that are accessible at any time. Ubiquitous computing will encompass clients with an agreeable and helpful data condition that unites physical and computational foundations into incorporated natural surroundings. This living space will include an expansion of hundreds or thousands of computing gadgets and sensors that will give new usefulness, offer specific administrations, and lift efficiency and cooperation. The current research article projects technical and operational utility of ubiquitous devices with challenging issues in emerging ubiquitous computing.

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43

Singh, Sachin, Sushil Puradkar, and Yugyung Lee. "Ubiquitous computing: connecting Pervasive computing through Semantic Web." Information Systems and e-Business Management 4, no. 4 (August 17, 2005): 421–39. http://dx.doi.org/10.1007/s10257-005-0003-8.

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44

Jonsson, Katrin, Jonny Holmström, Kalle Lyytinen, and Agneta Nilsson. "Desituating Context in Ubiquitous Computing." International Journal of Actor-Network Theory and Technological Innovation 2, no. 3 (July 2010): 40–55. http://dx.doi.org/10.4018/jantti.2010070104.

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Context awareness forms a core concern in ubiquitous computing and goes hand in hand with today’s extensive use of sensor technologies. This paper focuses on the use of sensors as part of remote diagnostic systems (RDS) in industrial organizations. The study shows that the process of desituating context, that is, capturing context and transferring it to another context, is critical for the successful use of the technology. The processes of capturing and transferring context are explored in industrial maintenance work through interviews with suppliers and users of RDS. To successfully manage the desituation of context, industrial organizations must find strategies of creating and managing a center of calculation, a center where the captured contexts meet and merge. To enable the long-distance control of the equipment, all data must be compiled into one manageable view without losing the specifics of the local contexts. The data collection must be designed with this in mind. Moreover, to bridge the gap between the digital and the physical world created by the new way of organizing the maintenance work, a new kind of maintenance network must be formed, one in which local technicians’ practices are reconfigured and instituted.

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45

Hwang, Gwo-Jen, Ting-Ting Wu, and Yen-Jung Chen. "Ubiquitous Computing Technologies in Education." International Journal of Distance Education Technologies 5, no. 4 (October 2007): 1–4. http://dx.doi.org/10.4018/jdet.2007100101.

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46

Meshram, Vishal, Vidula Meshram, and Kailas Patil. "A SURVEY ON UBIQUITOUS COMPUTING." ICTACT Journal on Soft Computing 06, no. 02 (January 1, 2016): 1130–35. http://dx.doi.org/10.21917/ijsc.2016.0157.

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47

Assabumrungrat, Rawin, Soravitt Sangnark, Thananya Charoenpattarawut, Wipamas Polpakdee, Thapanun Sudhawiyangkul, Ekkarat Boonchieng, and Theerawit Wilaiprasitporn. "Ubiquitous Affective Computing: A Review." IEEE Sensors Journal 22, no. 3 (February 1, 2022): 1867–81. http://dx.doi.org/10.1109/jsen.2021.3138269.

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48

SAKAMURA, Ken. "Ubiquitous computing as innovation infrastructure." Journal of Information Processing and Management 50, no. 12 (2008): 799–809. http://dx.doi.org/10.1241/johokanri.50.799.

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49

Georgievski, Ilche, and Marco Aiello. "Automated Planning for Ubiquitous Computing." ACM Computing Surveys 49, no. 4 (February 6, 2017): 1–46. http://dx.doi.org/10.1145/3004294.

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50

Schick, Lea, and Lone Malmborg. "Bodies, embodiment and ubiquitous computing." Digital Creativity 21, no. 1 (March 2010): 63–69. http://dx.doi.org/10.1080/14626261003654533.

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