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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 8 , ISSUE 4 (December 2015) > List of articles


Soorena Merat, P.Eng / Dr. Wahab Almuhtadi, P.Eng.

Keywords : Quality of service (QoS), Average Revenue per User (ARPU), Levy-Flight, Power Law, Genetic modification algorithm, Human Machine Intervention, Learn to Fly.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 8, Issue 4, Pages 1,917-1,934, DOI:

License : (CC BY-NC-ND 4.0)

Received Date : 22-August-2015 / Accepted: 09-November-2015 / Published Online: 01-December-2015



Recognizing how developing browsing behaviour could result in greater return for service providers through more efficient data usage without compromising Quality of Service (QoS), this paper proposes a new innovative model to describe the distribution and occurrence of behavioural errors in data usage models. We suggest: a) that the statistics of behavioural errors can be described in terms of locomotive inefficiencies, which increases error probability depending on the time elapsed since the last occurrence of an error; b) that the distribution of inter-error intervals can be approximated by power law and the relative number of errors. Comparing immersive similarities of data usage and foraging behaviours according to the Levy-Flight hypothesis, the length of the usage can be feasibly increased with less errors and eventually increase average revenue per user (ARPU). The validity of the concept is demonstrated with the aid of experimental data obtained from test software called Learn-2-Fly which sought to make browsing behaviours more efficient through user responses to stimuli created by an artificially intelligent engine. Although there were limitations on the scope of this test, a noticeable change in the user browse duration occurred over the duration of testing periods, with test subjects spending more time browsing and reacting to intended visual stimuli. The study establishes the opportunity to provide a higher quality of service to the end-user, whilst also offering a dynamic opportunity to increase revenue streams. Further consequences, refinements, and future works of the model are described in the body of the paper.

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[1] The Lévy flight foraging hypothesis in a pelagic seabird,J-Anim-Ecol,2014 Mar;83(2):353-64. doi: 10.1111/1365-2656.12147. Epub 2013 Nov 4.
[2] Neal Patwari, A. O. Hero III, M. Perkins, N. S. Correal, and R. O’Dea, “Relative location estimation in wireless sensor networks”, IEEE Transactions and Signal Processing, Vol: 51, Issue: 8, 2003-8, Pages: 2137–2148.
[3] Jonathan Hui and David Culler, “The Dynamic Behavior of a Data Dissemination Protocol for Network Programming at Scale”, In SenSys ’04, ACM Conference on Embedded Networked Sensor Systems November 3-5, 2004. Baltimore, MD, In Proceedings of the 6th International Conference on Embedded Networked Sensor Systems.
[4] Levy Flight Search Pattern Patterns of Wandering Albatroses, G.M. Viswanatahan, S.V.Buldyrev, E.J.Murphy, P.A. Prince, H.E. Stanley. Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts 02215, USA
[5] Erika Greene, Tugba Bodrumlu, and Kevin Knight, “Automatic analysis of rhythmic poetry with applications to generation and translation.” In Proceedings of EMNLP, Conference on Empirical Methods in Natural Language Processing, October 9-11, 2010, MIT, Massachusetts, USA.
[6] Diana McCarthy, and Roberto Navigli, “Semeval-2007 task 10: English lexical substitution task.” In Proceedings of the 4th International Workshop on Semantic Evaluations, Pages 48 to 53, 2007.
[7] Erika Odilia Flores Popoca, Maximino Miranda García, Socorro Romero Figueroa, Aurelio Mendoza Medellín, Horacio Sandoval Trujillo, Hilda Victoria Silva Rojas, Ninfa Ramírez Durán. “Pantoea agglomerans in Immunodeficient Patients with Different Respiratory Symptoms.” The Scientific World Journal 2012, Article ID 156827, 8 pages.
[8] Christian Kehlmaier, Radek Michalko, Stanislav Korenko, “Ogcodes fumatus (Diptera: Acroceridae) Reared from Philodromus cespitum (Araneae: Philodromidae), and First Evidence of Wolbachia Alphaproteobacteria in Acroceridae, Annales Zoologici, 2012, 62:2, 281-286.
[9] M. Verbeek, A. M. Dullemans, P. J. van Bekkum, R. A. A. van der Vlugt, “Evidence for Lettuce big-vein associated virus as the causal agent of a syndrome of necrotic rings and spots in lettuce.” Plant Pathology, Volume 62, Issue 2, pages 444–451, April 2013.
[10] Zhiwen Wang, Neil Hobson, Leonardo Galindo, Shilin Zhu, Daihu Shi, Joshua McDill, Linfeng Yang, Simon Hawkins, Godfrey Neutelings, Raju Datla, Georgina Lambert, David W. Galbraith, Christopher J. Grassa, Armando Geraldes, Quentin C. Cronk, Christopher Cullis, Prasanta K. Dash, Polumetla A. Kumar, Sylvie Cloutier, Andrew G. Sharpe, Gane K.-S. Wong, Jun Wang, Michael K. Deyholos, “The genome of flax (Linum usitatissimum) assembled de novo from short shotgun sequence reads.” The Plant Journal, 2012 Nov;72(3), P: 461-73.
[11] Raffaele Ronca, Michalis Kotsyfakis, Fabrizio Lombardo, Cinzia Rizzo, Chiara Currà, MartaPonzi, Gabriella Fiorentino, Josè M.C. Ribeiro, Bruno Arcà, “The Anopheles gambiae cE5, a tight- and fast-binding thrombin inhibitor with post-transcriptionally regulated salivary restricted expression”, Insect Biochemistry and Molecular Biology, 2012, 42:9, 610-620.
[12] N.K. Suryadevara and S.C. Mukhopadhyay, “Wireless Sensor Network Based Home Monitoring System for Wellness Determination of Elderly”, IEEE Sensors Journal, Vol. 12, No. 6, June 2012, pp. 1965-1972.
[13] Benjamin A. Sandkam, Jeffrey B. Joy, Corey T. Watson, Pablo Gonzalez-Bendiksen, CaitlinR. Gabor, Felix Breden, “Hybridization Leads to Sensory Repertoire Expansion in A Gynogenic Fish, The Amazon Molly (Poecilia Formosa): A Test Of The Hybrid-Sensory Expansion Hypothesis”, Evolution, Volume 67, Issue 1, pages 120–130, January 2013.
[14] Tatiana V. Danilova, Bernd Friebe, Bikram S. Gill, “Single-copy gene fluorescence in situ hybridization and genome analysis, loci mark evolutionary chromosomal rearrangements in wheat chromosome, Theoretical and Applied Genetics, Volume 127, issue 3, PP 715-730.
[15] Nourou S. Yorou, Moussa Diabate, Reinhard Agerer, “Phylogenetic placement andanatomical characterisation of two new West African Tomentella (Basidiomycota, Fungi) species." Mycological Progress, Volume 11, Issue 1, PP 171-180, February 2012.
[16] Joseph Polastre, Robert Szewczyk, Cory Sharp, and David Culler, “The Mote Revolution: Low Power Wireless Sensor Network Devices”, Proceedings of IEEE Hot Chips 16, August 22-24, 2004. Palo Alto, CA.
[17] David Robert, Peter Schmitt, Alex Olwal, MIT Media Lab, “Cloud Rhymer: Prototype Demo and Intervention Proposal”, Proceedings of the 12th International Conference on Interaction Design and Children, Pages 507-510.
[18] Nik Noordini Nik Abd Malik, Mazlina Esa, Sharifah Kamilah Syed Yusof, and Jayaseelan Marimuthu, “Optimizing of Node Coordination in Wireless Sensor Network”, Asia Pacific Microwave Conference, 7-10 Dec 2009, Pages: 2336-2339.
[19] M. Kambadur, T. Moseley, R. Hank, and M. A. Kim, “Measuring interference between live datacenter applications”, International Conference for High Performance Computing, Networking, Storage and Analysis, Super Computing conference 2012, Article Number 51.
[20] N.K.Suryadevara, A. Gaddam, R.K.Rayudu and S.C. Mukhopadhyay, “Wireless Sensors Network based safe Home to care Elderly People: Behaviour Detection”, Sens. Actuators A: Phys. (2012), doi:10.1016/j.sna.2012.03.020, Volume 186, 2012, pp. 277 – 283.
[21] A. Gupta, J. Sampson, and M. B. Taylor. Timecube, “A manycore embedded processor with interference-agnostic progress tracking”, International Conference on Embedded Computer Systems Architectures, Modeling and Simulation, 15-18 July 2013, Pages 227 – 236.
[22] S. Govindan, J. Liu, A. Kansal, and A. Sivasubramaniam. Cuanta, Quantifying effects of shared on-chip resource interference for consolidated virtual machines, Applied Computing Symposium, 2nd Symposium on Cloud Computing, 2011. Article No. 22.
[23] L. Tang, J. Mars, N. Vachharajani, R. Hundt, and M. L. Soffa, “The impact of memory subsystem resource sharing on datacenter applications”, 38th Annual International Symposium on Computer Architecture, June 4-8, 2011, Pages 283-294.