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BY 4.0 license Open Access Published by De Gruyter Open Access May 4, 2016

Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems

  • Vijay Borges
From the journal Open Computer Science

Abstract

Internet-of-Things (IoT) is the latest buzzword, havings its origins in the erstwhile Sensor Networks. Sensor Networks produce a large amount of data. According to the needs this data requires to be processed, delivered and accessed. This processed data when made available with the physical device location, user preferences, time constraints; generically called as context-awareness; is widely referred to as the core function for ubiquitous systems. To our best knowledge there is lack of analysis of context information fusion for ubiquitous sensor networks. Adopting appropriate information fusion techniques can help in screening noisy measurements, control data in the network and take necessary inferences that can help in contextual computing. In this paper we try and explore different context information fusion techniques by comparing a large number of solutions, their methods, architectures and models. All the surveyed techniques can be adapted to the IoT framework.

References

[1] M. Weiser, M. Brown, J. Seely, Beyond calculation, The coming age of calm technology, Springer&Business Media, N.Y., U.S.A„ 1997. 10.1007/978-1-4612-0685-9_6Search in Google Scholar

[2] K. Holger, A.Willig, Protocols and architectures forwireless sensor networks, Wiley, England, 2007. Search in Google Scholar

[3] M. Satyanarayanan, Pervasive computing: vision and challenges, IEEE Personal Communications 8(4), 10-17, 2001. 10.1109/98.943998Search in Google Scholar

[4] B.N. Schilit, M.M. Theimer, Disseminating active map information to mobile hosts, IEEE Network 8(5), 22-32, 1994. 10.1109/65.313011Search in Google Scholar

[5] G.D. Abowd, A.K. Dey, P.J. Brown, N. Davies, M. Smith, P. Steggles, Towards a Better Understanding of Context and Context-Awareness, Proceedings of the 1st international Symposium on Handheld and Ubiquitous Computing, HUC ’99, Springer-Verlag, 1999, 304-307. 10.1007/3-540-48157-5_29Search in Google Scholar

[6] R.C. Luo, C.-C. Yih, K.L. Su, Multisensor fusion and integration: approaches, applications, and future research directions, IEEE Sensors Journal 2(2), 107-109, 2002. 10.1109/JSEN.2002.1000251Search in Google Scholar

[7] N.S.V. Rao, On fusers that perform better than best sensor, IEEE Transactions on Pattern Analysis and Machine Intelligence 23(8), 904-909, 2001. 10.1109/34.946993Search in Google Scholar

[8] B. Schilit, N. Adams, R. Want, Context-aware computing applications, First Workshop on Mobile Computing Systems and Applications, WMCSA, 1994, IEEE, 1994, 85-90. 10.1109/WMCSA.1994.16Search in Google Scholar

[9] A. Zimmermann, A. Lorenz, R. Oppermann, An operational defi- nition of context, Modeling and using context, Springer, Berlin, Heidelberg, 2007, 558-571. 10.1007/978-3-540-74255-5_42Search in Google Scholar

[10] C. Bolchini, C.A. Curino, G. Orsi, E. Quintarelli, R. Rossato, F.A. Schreiber, L. Tanca, And what can context do for data? Commun. ACM, ACM, New York, NY, USA, 2009, 136-140. 10.1145/1592761.1592793Search in Google Scholar

[11] G. Chen, D. Kotz, A Survey of Context-Aware Mobile Computing Research, Dartmouth College, Hanover, NH, USA, 2000. Search in Google Scholar

[12] J.-M. Kim, C.-H. Son, C.-H. Lee, Y.-H. Ha, Illuminant adaptive color reproduction based on lightness adaptation and flare for mobile phone, 2006 IEEE International Conference on Image Processing, IEEE, 2006, 1513-1516. 10.1109/ICIP.2006.312570Search in Google Scholar

[13] B. Adams, D. Phung, S. Venkatesh, Sensing and using social context, ACM Trans. Multimedia Comput. Commun. Appl. 2(11), 1-27, 2008. 10.1145/1413862.1413864Search in Google Scholar

[14] T. Buchholz, A. Küpper, M. Schiffers, Quality of context: What it is and why we need it, Proceedings of the workshop of the HP OpenView University Association, Geneva, Switzerland, Springer, Berlin, Heidelberg, 2003. Search in Google Scholar

[15] M. Krause, I. Hochstatter, Challenges in modelling and using quality of context (qoc), Mobility Aware Technologies and Applications, Springer, Berlin, Heidelberg, 2005, 324-333. 10.1007/11569510_31Search in Google Scholar

[16] A.Manzoor, H.-L. Truong, S. Dustdar, On the evaluation of quality of context, Smart Sensing and Context, Springer, Berlin, Heidelberg, 2008, 140-153. 10.1007/978-3-540-88793-5_11Search in Google Scholar

[17] H. Chang, S. Shin, C. Chung, Context Life Cycle Management Scheme in Ubiquitous Computing Environments, Proceedings of the 2007 International Conference on Mobile Data Management, MDM ’07, IEEE Computer Society, Washington, DC, USA, 2007, 315-319. 10.1109/MDM.2007.66Search in Google Scholar

[18] P. Bellavista, A. Corradi, M. Fanelli, L. Foschini, A survey of context data distribution for mobile ubiquitous systems, ACM Computing Surveys (CSUR), 44(4), 24, 2012. 10.1145/2333112.2333119Search in Google Scholar

[19] T. Strang, C. Linnhoff-Popien, A context modeling survey, Workshop Workshop on Advanced Context Modelling, Reasoning And Management at UbiComp 2004, Nottingham, England, 2004. Search in Google Scholar

[20] M. Baldauf, S. Dustdar, F. Rosenberg, A survey on context aware systems, Int. J. Ad Hoc Ubiquitous Comput., 2(4), 253-277, 2007. 10.1504/IJAHUC.2007.014070Search in Google Scholar

[21] C. Bettini, O. Brdiczka, K. Henricksen, J. Indulska, D. Nicklas, A. Ranganathan, D. Riboni, A survey of context modelling and reasoning techniques, Pervasive and Mobile Computing, 6(2), 161-180, 2010. 10.1016/j.pmcj.2009.06.002Search in Google Scholar

[22] D. Salber, A.K. Dey, G.D. Abowd, The context toolkit: aiding the development of context-enabled applications, Proceedings of the SIGCHI conference on Human Factors in Computing Systems, CHI ’99, ACM, New York, NY, USA, 1999, 434-441. 10.1145/302979.303126Search in Google Scholar

[23] K. Henricksen, J. Indulska, T. McFadden, S. Balasubramaniam, Middleware for distributed context-aware systems, On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE, Springer, Berlin, Heidelberg, 2005, 846-863. 10.1007/11575771_53Search in Google Scholar

[24] P. Bellavista, A. Corradi, R. Montanari, C. Stefanelli, Contextaware middleware for resource management in the wireless internet, IEEE Transactions on Software Engineering, 29(12), 1086-1099, 2003. 10.1109/TSE.2003.1265523Search in Google Scholar

[25] M. Knappmeyer, N. Baker, S. Liaquat, R. Tönjes, A context provisioning framework to support pervasive and ubiquitous application, Smart Sensing and Context, Springer, Berlin, Heidelberg, 2009, 93-106. 10.1007/978-3-642-04471-7_8Search in Google Scholar

[26] L. Juszczyk, H. Psaier, A. Manzoor, S. Dustdar, Adaptive query routing on distributed context-the cosine framework, Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, 2009. MDM’09, IEEE 2009, 588-593. 10.1109/MDM.2009.101Search in Google Scholar

[27] D. Conan, R. Rouvoy, L. Seinturier, Scalable processing of context information with COSMOS, Proceedings of the 7th IFIP WG 6.1 international conference on Distributed applications and interoperable systems, DAIS’07, Springer-Verlag, Berlin, Heidelberg, 2007, 210-224. 10.1007/978-3-540-72883-2_16Search in Google Scholar

[28] S.S. Yau, D. Huang, H. Gong, S. Seth, Development and runtime support for situation-aware application software in ubiquitous computing environments, Computer Software and Applications Conference, 2004. COMPSAC 2004. Proceedings of the 28th Annual International, IEEE, 2004, 452-457. Search in Google Scholar

[29] A. Ranganathan, R.H. Campbell, A middleware for contextaware agents in ubiquitous computing environments, Middleware 2003, Springer, 2003, 143-161. 10.1007/3-540-44892-6_8Search in Google Scholar

[30] S. Chetan, J. Al-Muhtadi, R. Campbell, M.D. Mickunas, Mobile Gaia: a middleware for ad-hoc pervasive computing, 2005 Second IEEE Consumer Communications and Networking Conference, 2005. CCNC., 2005, 223-228. Search in Google Scholar

[31] H.A. Duran-Limon, G.S. Blair, A. Friday, P. Grace, G. Samartzidis, T. Sivaharan, M. Wu, Context-aware middleware for pervasive and ad hoc environments, Context, Information Society Technologies (IST) Programme RTD Research Project IST-2000- 26031, Lisbon, Portugal, Tech. Rep. IST-2000-26031, 1-9, 2003. Search in Google Scholar

[32] P. Fahy, S. Clarke, CASS–a middleware for mobile context-aware applications, Workshop on Context Awareness, MobiSys, Citeseer, 2004. Search in Google Scholar

[33] T. Gu, H.K. Pung, D.Q. Zhang, A service-oriented middleware for building context-aware services, Journal of Network and Computer Applications, 28(1), 1-18, 2005. 10.1016/j.jnca.2004.06.002Search in Google Scholar

[34] H. Chen, T. Finin, A. Joshi, An intelligent broker for contextaware systems, Adjunct proceedings of Ubicomp, 3, 183-184, 2003. Search in Google Scholar

[35] A. Ranganathan, J. Al-Muhtadi, S. Chetan, R. Campbell, M.D. Mickunas, Middlewhere: a middleware for location awareness in ubiquitous computing applications, Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware, Springer-Verlag New York, Inc., 2004, 397-416. 10.1007/978-3-540-30229-2_21Search in Google Scholar

[36] V. Gradinescu, C. Gorgorin, R. Diaconescu, V. Cristea, L. Iftode, Adaptive traffic lights using car-to-car communication, IEEE 65th Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE, 2007, 21-25. 10.1109/VETECS.2007.17Search in Google Scholar

[37] C. Boldrini, M. Conti, A. Passarella, Exploiting users’ social relations to forward data in opportunistic networks: The HiBOp solution, Pervasive Mob. Comput., 4(5), 633-657, 2008. 10.1016/j.pmcj.2008.04.003Search in Google Scholar

[38] H. Miranda, S. Leggio, L. Rodrigues, K. Raatikainen, An algorithm for dissemination and retrieval of information in wireless ad hoc networks, Euro-Par 2007 Parallel Processing, Springer, Berlin, Heidelberg, 2007, 891-900. 10.1007/978-3-540-74466-5_96Search in Google Scholar

[39] R.R. Brooks, S.S. Iyengar, Multi-sensor fusion: fundamentals and applications with software, Prentice-Hall, Inc., Upper Saddle River, NJ, USA, 1998. Search in Google Scholar

[40] T. Bass, Intrusion detection systems and multisensor data fusion, Communications of the ACM, 43(4), 99-105, 2000. 10.1145/332051.332079Search in Google Scholar

[41] C. Siaterlis, B. Maglaris, Towards multisensor data fusion for DoS detection, Proceedings of the 2004 ACM symposiumon Applied computing, ACM, 2004, 439-446. 10.1145/967900.967992Search in Google Scholar

[42] H.F. Durrant-Whyte, Sensor models and multisensor integration, The International Journal of Robotics Research, 7(6), 97- 113, 1988. 10.1177/027836498800700608Search in Google Scholar

[43] Y.J. Zhao, R. Govindan, D. Estrin, Residual energy scan for monitoring sensor networks, 2002 IEEE Wireless Communications and Networking Conference, 2002. WCNC2002., IEEE 1, 356- 362, 2002. Search in Google Scholar

[44] R. Willett, A. Martin, R. Nowak, Backcasting: adaptive sampling for sensor networks, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004., IEEE, 2004, 124-133. 10.1145/984622.984641Search in Google Scholar

[45] A. Singh, R. Nowak, P. Ramanathan, Active learning for adaptive mobile sensing networks, Proceedings of the 5th international conference on Information processing in sensor networks, ACM, 2006, 60-68. 10.1145/1127777.1127790Search in Google Scholar

[46] J. Polastre, J. Hill, D. Culler, Versatile low power media access for wireless sensor networks, Proceedings of the 2nd international conference on Embedded networked sensor systems, ACM, 2004, 95-107. 10.1145/1031495.1031508Search in Google Scholar

[47] R. Nowak, U. Mitra, R.Willett, Estimating inhomogeneous fields using wireless sensor networks, IEEE Journal on Selected Areas in Communications, 22(6), 999-1006, 2004. 10.1109/JSAC.2004.830893Search in Google Scholar

[48] B. Krishnamachari, S. Iyengar, Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks, IEEE Transactions on Computers 53(3), 241-250, 2004. 10.1109/TC.2004.1261832Search in Google Scholar

[49] E.F. Nakamura, F.G. Nakamura, C.M.S. Figueiredo, A.A.F. Loureiro, Using information fusion to assist data dissemination in wireless sensor networks, Telecommunication Systems, 30(1-3), 237-254, 2005. 10.1007/s11235-005-4327-ySearch in Google Scholar

[50] B.V. Dasarathy, Sensor fusion potential exploitation-innovative architectures and illustrative applications, Proceedings of the IEEE, 85(1), 24-38, 1997. 10.1109/5.554206Search in Google Scholar

[51] T. Bayes, R. Price, An Essay towards solving a Problem in the Doctrine of Chances. By the late Rev. Mr. Bayes, FRS communicated by Mr. Price, in a letter to John Canton, AMFRS, Philosophical Transactions (1683-1775), 53(1763), 370-418, 1763. 10.1098/rstl.1763.0053Search in Google Scholar

[52] H. Pan, Z.-P. Liang, T.J. Anastasio, T.S. Huang, A hybrid NNBayesian architecture for information fusion, 1998 International Conference on Image Processing, 1998. ICIP 98. Proceedings. 1, 368-371, 1998. Search in Google Scholar

[53] G. Hartl, B. Li, Infer: A Bayesian inference approach towards energy efficient data collection in dense sensor networks, Proceedings. 25th IEEE International Conference on Distributed Computing Systems, 2005. ICDCS 2005. IEEE, 2005, 371-380. Search in Google Scholar

[54] A.P. Dempster, A generalization of Bayesian inference, Journal of the Royal Statistical Society. Series B (Methodological), 30(2), 205-247, 1968. 10.1111/j.2517-6161.1968.tb00722.xSearch in Google Scholar

[55] G. Shafer, Amathematical theory of evidence, Princeton University Press, Princeton, 1976. Search in Google Scholar

[56] G.M. Provan, A logic-based analysis of Dempster-Shafer theory, International Journal of Approximate Reasoning, 4(5), 451-495, 1990. 10.1016/0888-613X(90)90016-USearch in Google Scholar

[57] T.D, Garvey, J.D. Lowrance, M.A. Fischler, An inference technique for integrating knowledge from disparate sources, Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1981, 319-325. Search in Google Scholar

[58] S. Li, S.H. Son, J.A. Stankovic, Event detection services using data service middleware in distributed sensor networks, Information Processing in Sensor Networks, Springer, Berlin, Heidelberg, 2003, 502-517. 10.1007/3-540-36978-3_34Search in Google Scholar

[59] C.Y. Wong, U. Qidwai, Intelligent sensor network for obstacle avoidance strategy, Proceedings of IEEE Conference on Sensors, IEEE, 2005, 405-408. Search in Google Scholar

[60] F. Rosenblatt, Twotheorems of statistical separability in the perceptron, United States Department of Commerce, USA, 1958. Search in Google Scholar

[61] T. Kohonen, Self-organizingmaps, Springer, Berlin, Heidelberg, 2001. 10.1007/978-3-642-56927-2Search in Google Scholar

[62] L.A. Zadeh, Fuzzy logic: computing with words, IEEE Transactions on Fuzzy Systems, 4(2), 103-111, 1996. 10.1109/91.493904Search in Google Scholar

[63] P.P. Bonissone, Soft computing: the convergence of emerging reasoning technologies, Soft Computing 1(1), 6-18, 1997. 10.1007/s005000050002Search in Google Scholar

[64] L. Yiyao, Y.V. Venkatesh, C.C. Ko, A knowledge-based neural network for fusing edge maps of multi-sensor images, Information Fusion, 2(2), 121-133, 2001. 10.1016/S1566-2535(01)00025-2Search in Google Scholar

[65] C.S. Peirce, Abduction and induction, Philosophical writings of Peirce, Dover, New York, 1995. Search in Google Scholar

[66] B.R. Bracio, W. Horn, D.P.F. Moller, Sensor fusion in biomedical systems, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1997, 3, 1387-1390, 1997. Search in Google Scholar

[67] N. Patwari, Neal A.O. Hero III, M. Perkins, N.S. Correal, R.J. O’dea, Relative location estimation in wireless sensor networks, IEEE Transactions on Signal Processing, 51(8), 2137- 2148, 2003. 10.1109/TSP.2003.814469Search in Google Scholar

[68] L. Fang, Lei W. Du, P. Ning, A beacon-less location discovery scheme for wireless sensor networks, 24th Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2005, Proceedings IEEE, 2005, 161-171. Search in Google Scholar

[69] R. Niu, P.K. Varshney, Target location estimation in sensor networks with quantized data, IEEE Transactions on Signal Processing, 54(12), 4519-4528, 2006. 10.1109/TSP.2006.882082Search in Google Scholar

[70] S.W. Smith et al., The scientist and engineer’s guide to digital signal processing, California Technical Pub., San Diego, 1997. Search in Google Scholar

[71] R.E. Kalman et al., A new approach to linear filtering and prediction problems, Journal of Basic Engineering, 82(1), 35-45, 1960. 10.1115/1.3662552Search in Google Scholar

[72] Z. Xiong, A.D. Liveris, S. Cheng, Distributed source coding for sensor networks, IEEE Signal Processing Magazine, 21(5), 80- 94, 2004. 10.1109/MSP.2004.1328091Search in Google Scholar

[73] D. Petrovic, R.C. Shah, K. Ramchandran, J. Rabaey, Data funneling: routingwith aggregation and compression forwireless sensor networks, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003. IEEE, 2003, 156-162. Search in Google Scholar

[74] F. Marcelloni, M. Vecchio, A simple algorithm for data compression inwireless sensor networks, IEEE Communications Letters, 12(6), 411-413, 2008. 10.1109/LCOMM.2008.080300Search in Google Scholar

[75] T.A. Welch, A technique for high-performance data compression, Computer, 17(6), 8-19, 1984. 10.1109/MC.1984.1659158Search in Google Scholar

[76] E.F. Nakamura, A.F. Loureiro, A.C. Frery, Information fusion for wireless sensor networks: Methods, models, and classifications, ACM Computing Surveys (CSUR), 39(3), 9, 2007. 10.1145/1267070.1267073Search in Google Scholar

[77] A.N. Steinberg, C.L. Bowman, F.E. White, Revisions to the JDL data fusion model, AeroSense’99, International Society for Optics and Photonics, 1999, 430-441. 10.21236/ADA389851Search in Google Scholar

[78] X. Luo, M. Dong, Y. Huang, On distributed fault-tolerant detection in wireless sensor networks, IEEE Transactions on Computers, 55(1), 58-70, 2006. 10.1109/TC.2006.13Search in Google Scholar

[79] M. Bedworth, J. O’Brien, The Omnibus model: a new model of data fusion?, IEEE Aerospace and Electronic SystemsMagazine, 15(4), 30-36, 2000. 10.1109/62.839632Search in Google Scholar

[80] J.R. Boyd, The essence of winning and losing, Unpublished lecture notes, 1996. Search in Google Scholar

[81] M.M. Kokar, M.D. Bedworth, C.B. Frankel, Reference Model for data fusion Systems, AeroSense 2000, International Society for Optics and Photonics, Orlando, FL, U.S.A., 2000, 191-202. 10.1117/12.381632Search in Google Scholar

[82] G. Hynes, V. Reynolds, M. Hauswirth, A context lifecycle for webbased context management services, Smart Sensing and Context, Springer, Berlin, Heidelberg, 2009, 51-65. 10.1007/978-3-642-04471-7_5Search in Google Scholar

[83] C. Perera, A. Zaslavsky, P. Christen, D. Georgakopoulos, Context Aware Computing for The Internet of Things: A Survey, Communications Surveys & Tutorials, IEEE, 16(1), 414-454, 2013. 10.1109/SURV.2013.042313.00197Search in Google Scholar

[84] D. Allemang, J. Hendler, Semantic web for the working ontologist: effective modeling in RDFS and OWL, Elsevier, 2011. 10.1016/B978-0-12-385965-5.10002-0Search in Google Scholar

[85] L. Yu, A Developer’s Guide to the Semantic Web, Springer, Berlin, Heidelberg, 2011. 10.1007/978-3-642-15970-1Search in Google Scholar

[86] P. Hitzler, M. Krotzsch, S. Rudolph, Foundations of semantic web technologies, Chapman and Hall/CRC, Taylor & Francis Group, Boca Raton, FL, USA, 2011. Search in Google Scholar

[87] D.L. McGuinness et al., OWL web ontology language overview, W3C recommendation, 10(2004-03), 10, 2004. Search in Google Scholar

[88] R. Studer, V.R. Benjamins, D. Fensel, Knowledge engineering: principles and methods, Data & knowledge engineering, 25(1), 161-197, 1998. 10.1016/S0169-023X(97)00056-6Search in Google Scholar

[89] D. Riboni, C. Bettini, OWL 2 modeling and reasoning with complex human activities, Pervasive and Mobile Computing, 7(3), 379-395, 2011. 10.1016/j.pmcj.2011.02.001Search in Google Scholar

[90] H. Chen, T. Finin, A. Joshi, L. Kagal, F. Perich, D. Chakraborty, Intelligent agents meet the semantic web in smart spaces, IEEE Internet Computing, 8(6), 69-79, 2004. 10.1109/MIC.2004.66Search in Google Scholar

[91] A. Gluhak,W. Schott, AWSN system architecture to capture context information for beyond 3g communication systems, 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007., IEEE, 2007, 49-54. 10.1109/ISSNIP.2007.4496818Search in Google Scholar

[92] R.C.A. de Rocha, M. Endler, Middleware: Context management in heterogeneous, evolving ubiquitous environments, IEEE Distributed Systems Online, 7(4), 1, 2006. 10.1109/MDSO.2006.28Search in Google Scholar

[93] B. Guo, L. Sun, D. Zhang, The architecture design of a crossdomain context management system, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), IEEE, 2010, 499-504. 10.1109/PERCOMW.2010.5470618Search in Google Scholar

[94] D.Martin, C. Lamsfus, A. Alzua, Automatic context data life cycle management framework, 2010 5th International Conference on Pervasive Computing and Applications (ICPCA), Maribor, Slovenia, 2010, pages 330-335. IEEE, 2010, 330-335. 10.1109/ICPCA.2010.5704122Search in Google Scholar

[95] E.J.Y. Wei, A.T.S. Chan, CAMPUS: A middleware for automated context-aware adaptation decision making at run time, Pervasive and Mobile Computing, 9(1), 35-56, 2011. 10.1016/j.pmcj.2011.10.002Search in Google Scholar

[96] V. Borges, R. Sawant, A. Zarapkar, S. Azgaonkar, Wireless automated monitoring system for an educational institute using Learning Management System (MOODLE), 2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR), IEEE, 2011, 231-236. 10.1109/SoCPaR.2011.6089112Search in Google Scholar

Received: 2015-09-30
Accepted: 2015-06-26
Published Online: 2016-05-04

© 2016 V. Borges

This work is licensed under the Creative Commons Attribution 4.0 International License.

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