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Everything is alive: towards the future wisdom Web of things

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Abstract

The Everything is Alive (EiA) project at University of Arkansas is focused on pervasive computing. We consider that every physical object can be a living smart object and any services can be a living phenomenon. The goal of EiA is to make everything alive to make our lives revive with the objective to make use of all objects and services surrounding us to make our life better. Our project is goal-oriented, and the scope of this project is broad, encompassing Ubiquitous Intelligence, Cyber-Individual, Brain Informatics, and Web Intelligence. In this paper, we discuss how those technologies can be integrated together and fit into a seamless cycle like the one proposed in the Wisdom Web of Things (W2T). We also provide two case studies from our EiA project. The first case study is to demonstrate how a concept first tested in a virtual environment can be successfully implemented in the real world later when technological advances finally caught up. The data collection step and the ability to manually control smart objects of the W2T cycle are fulfilled in this step. The second case study is to show how the software simulator and hardware implementation are abstracted from the underlying algorithm, and thus, it serves as an example of how virtual worlds can be used as a test bed for W2T, especially with regards to the development of the remaining steps of the W2T cycle.

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References

  1. Albanesius, C.: Smartphone shipments surpass PCs for first time. What’s Next? PC MAG.com. http://www.pcmag.com/article2/0,2817,2379665,00.asp (2011), Accessed 16 Dec (2011)

  2. Banerjee, N., Agarwal, S., Bahl, P., Ch, R., Wolman, A., Corner, M.: Virtual compass: relative positioning to sense mobile social interactions. Pervasive Computing 6030, 1–21 (2010)

    Article  Google Scholar 

  3. Banerjee, N., Rollins, S., Moran, K.: Automating energy management in green homes. Paper presented at the 2nd ACM SIGCOMM workshop on Home networks, Toronto, ON, Canada, 19–24 August (2011)

  4. Bao, P., Pierce, J., Whittaker, S., Zhai, S.: Smart phone use by non-mobile business users. Paper presented at the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, Stockholm, Sweden, 30 August (2011)

  5. DeCamp, P., Shaw, G., Kubat, R., Roy, D.: An immersive system for browsing and visualizing surveillance video. Paper presented at the ACM International Conference on Multimedia, Firenze, Italy, 25–29 October (2010)

  6. Desimone, R.: Face-selective cells in the temporal cortex of monkeys. J. Cogn. Neurosci. 3, 1–8 (1991)

    Article  Google Scholar 

  7. Digi International Inc.: XBee-PRO(R) 802.15.4 OEM RF Modules. Digi International Inc. http://www.digi.com/products/wireless-wired-embedded-solutions/zigbee-rf-modules/point-multipoint-rfmodules/xbee-series1-module (2011), Accessed 16 Dec 2011

  8. Eguchi, A.: Object recognition based on shape and function: inspired by children’s word acquisition. Inquiry J. Undergrad. Res. Univ. Arkan. 13, (in press)

  9. Eguchi, A., Bohannan, E.: Who do you see in a mirror? Cultural differences in identity perspectives. Poster presented at the advanced research poster session, University of Arkansas, AR USA, 6 December (2011)

    Google Scholar 

  10. Eguchi, A., Nguyen, H.: Minority game: the battle of adaptation, intelligence, cooperation and power. Paper presented at the 5th International Workshop on Multi-Agent Systems and Simulation (MAS&S), Szczecin, Poland, 18–21 September (2011)

  11. Eguchi, A., Thompson, C.: Towards a semantic world: smart objects in a virtual world. Int. J. Comput. Informa. Syst. Indust. Manag. 3, 905–911 (2011)

    Google Scholar 

  12. Eno, J.D., Thompson, C.: Virtual and real-world ontology services. IEEE Internet Comput. 15(5), 46–52 (2011)

    Article  Google Scholar 

  13. GS, T., Kulkarni, U.P.: SAP: self aware protocol for ubiquitous object communication. Int. J. Soft Comput. Engineer. 1(5), 7–12 (2011)

    Google Scholar 

  14. Higgins, I.V., Stringer, S.M.: The role of independent motion in object segmentation in the ventral visual stream: learning to recognise the separate parts of the body. Vis. Res. 51(6), 553–562 (2011)

    Article  Google Scholar 

  15. Hill, A., Barba, E., MacIntyre, B., Gandy, B., Davidson, B.: Mirror worlds: experimenting with heterogeneous AR. Paper presented at 2011 International Symposium on Ubiquitous Virtual Reality (ISUVR), Jeju University, Jeju, South Korea, 9–12 July (2011)

  16. Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., Davison, A., Fitzgibbon, A.: KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. Paper presented at the 24th annual ACM symposium on User interface software and technology, Santa Barbara, CA, USA, 16–19 October (2011)

  17. Landau, B., Smith, L., Jones, S.: The importance of shape in early lexical learning. Cogn. Dev. 3(3), 299–321 (2011)

    Article  Google Scholar 

  18. Lertlakkhanakul, J., Choi, J.: Virtual place framework for user-centered smart home applications. In: Al-Qutayri, M.A. (ed.) Smart home systems, pp. 177–194. InTech, Rijeka (2010)

    Google Scholar 

  19. Martin, D., Burstein, M., McDermott, D., McIlraith, S., Paolucci, M., Sycara, K., McGuinness, D.L., Sirin, E., Srinivasan, N.: Bringing semantics to web services with OWL-S. World Wide Web J. 10(3), 243–277 (2007)

    Article  Google Scholar 

  20. Meyer, M., DeCamp, P., Hard, B., Baldwin, D., Roy, D.: Assessing behavioral and computational approaches to naturalistic action segmentation. Paper presented at the 32nd Annual Conference of the Cognitive Science Society, Portland, Oregon, USA, 10–13 July (2010)

  21. Miller, C., Bilton, N.: Google’s lab of wildest dreams. The New York Times. http://www.nytimes.com/2011/11/14/technology/at-google-x-a-top-secret-lab-dreaming-up-the-future.html (2011), Accessed 16 Dec 2011

  22. Munoz-Gea, J.P., Manzanares-Lopez, P., Malgosa-Sanahuja, J.: Advantages and new applications of DHT-based discovery services in EPCglobal Network. In: Turcu, C. (ed.) Designing and deploying RFID applications, pp. 131–156. InTech, Rijeka (2011)

    Google Scholar 

  23. Nelson, D.G.K., Russell, R., Duke, N., Jones, K.: Two-year-olds will name artifacts by their functions. Child Dev. 71(5), 1271–1288 (2000)

    Article  Google Scholar 

  24. Nguyen, H., Eguchi, A., Hooten, H.: In search of a cost effective way to develop autonomous floor mapping robots. Paper presented at the 9th IEEE International Symposium on Robotic and Sensors Environments (ROSE 2011), Montreal, QC, Canada, 17–18 September (2011)

  25. Perkins, K.: Virtual worlds as simulation platform. Paper presented at the X10 Workshop on extensible virtual worlds, venue: Second Life, 29–30 March (2010)

  26. Perret, D.I., Rolls, E.T., Caan, W.: Visual neurons responsive to faces in the monkey temporal cortex. Exp. Brain Res. 47, 329–342 (1982)

    Google Scholar 

  27. Robertson, J., Thompson, C.: Everything is alive agent architecture. Paper presented at the International Conference on Integration of Knowledge Intensive Multi-Agent Systems, Waltham, MA, USA, 21–25 April (2005)

  28. Roy, D. K.: New horizons in the study of child language acquisition. Paper presented at InterSpeech 2009, Brighton, United Kingdom, 6–10 September (2009)

  29. Shirakyan, G.: What is a household robot? IEEE Spectrum http://spectrum.ieee.org/automaton/robotics/home-robots/what-is-a-household-robot (2011), Accessed 16 Dec 2011

  30. Starling, D.: Second life and automated path finding. Inquiry J. Undergrad. Res. Univ. Arkan. 11, 110–112 (2010)

    Google Scholar 

  31. Stringer, S.M., Perry, G., Rolls, E.T., Proske, J.H.: Learning invariant object recognition in the visual system with continuous transformations. Biol. Cybern. 94, 128–142 (2006)

    Article  MATH  Google Scholar 

  32. Stringer, S.M., Rolls, E.T.: Learning transform invariant object recognition in the visual system with multiple stimuli present during training. Neural Network. 21, 888–903 (2008)

    Article  MATH  Google Scholar 

  33. Tanaka, K., Saito, H., Fukada, Y., Moriya, M.: Coding visual images of objects in the inferotemporal cortex of the macaque monkey. J. Neurophysiol. 66, 170–189 (1991)

    Google Scholar 

  34. Thompson, C.: Everything is alive. IEEE Internet Comput. 8(1), 83–86 (2004)

    Article  Google Scholar 

  35. Thompson, C.: Smart devices and soft controllers. IEEE Internet Comput. 9(1), 82–85 (2005)

    Article  Google Scholar 

  36. Traub, K., Armenio, F., Barthel, H., Dietrich, P., Duker, J., Floerkemeier, C., Garrett, J., Harrison, M., Hogan, B., Mitsugi, J., Preishuber-Pfluegl, J., Ryaboy, O., Sarma, S., Suen, K., Williams, J.: The EPCglobal architecture framework. GS1 The global language of business. http://www.gs1.org/gsmp/kc/epcglobal/architecture/architecture_1_4-framework-20101215.pdf (2010), Accessed 5 Jan 2012

  37. Tromans, J.M., Harris, M., Stringer, S.M.: A computational model of the development of separate representations of facial identity and expression in the primate visual system. PLoS One 6(10), e25616 (2011)

    Article  Google Scholar 

  38. Wen, J., Ming, K., Wang, F., Huang, B., Ma, J.: Cyber-I: vision of the individual’s counterpart on cyberspace. Paper presented at the 8th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC-09), Chengdu, China, 12–14 December (2009)

  39. Yao, Y.Y., Zhong, N., Liu, J., Ohsuga, S.: Web intelligence (WI): research challenges and trends in the new information age. In: Zhong, N., et al. (eds.) Web Intelligence: research and development, vol. 2198, pp. 1–17. Springer, Berlin, Heidelberg, New York (2001)

    Chapter  Google Scholar 

  40. Zhong, N., Bradshaw, J.M., Liu, J., Taylor, J.G.: Brain informatics. IEEE Intell. Syst. 26(5), 16–21 (2011)

    Article  Google Scholar 

  41. Zhong, N., Liu, J., Yao, Y.Y.: Web intelligence (WI). Wiley Encyclop. of Comput. Sci. Engineer. 5, 3062–3072 (2009)

    Google Scholar 

  42. Zhong, N., Ma, J.H., Huang, R.H., Liu, J.M., Yao, Y.Y., Zhang, Y.X., Chen, J.H.: Research challenges and perspectives on wisdom web of things (W2T). J. Supercomput. 1–21 (2010)

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Correspondence to Akihiro Eguchi.

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Eguchi, A., Nguyen, H. & Thompson, C.W. Everything is alive: towards the future wisdom Web of things. World Wide Web 16, 357–378 (2013). https://doi.org/10.1007/s11280-012-0182-4

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