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Building Automation and Control Systems for Healthcare in Smart Homes

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Handbook of Large-Scale Distributed Computing in Smart Healthcare

Part of the book series: Scalable Computing and Communications ((SCC))

Abstract

The chapter presents an overview of building control systems addressing healthcare issues in home environments. Main goal of a building control installation is to ensure energy efficiency and comfort in home or functional buildings. Nevertheless, recent scientific work on the design of building control systems focuses on the inhabitants’ state of health. The chapter starts with a definition and distinction of several synonymously used terms in the field of building automation and control systems (BACS) and a general architectural design. Section 2 introduces a classification of health related applications using BACS while Sect. 3 gives selected examples for each class to give an overview about possibilities, limits and efforts on the creation of building environments with positive health effects using building control systems. Those example applications will range from adaptive lighting control for health treatment (e.g. in dementia, or depression) to smart home automation networks for activity recognition. Each mentioned system is aiming to create an improved environment, support healthy living, or to detect emergencies and to react adequately. Finally, the achievements of recent scientific works are summarized and recommendations for the development of even more adaptive and healthier building environments through distributed building system technologies are discussed.

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References

  1. Aarts, M.P., Aries, M.B., Straathof, J., van Hoof, J.: Dynamic lighting systems in psychogeriatric care facilities in the netherlands: a quantitative and qualitative analysis of stakeholders responses and applied technology. Indoor and Built Environment p. 1420326X14532387 (2014)

    Google Scholar 

  2. Aguirre, E., Led, S., Lopez-Iturri, P., Azpilicueta, L., Serrano, L., Falcone, F.: Implementation of context aware e-health environments based on social sensor networks. Sensors 16(3), 310 (2016)

    Google Scholar 

  3. Ahmad, M.W., Mourshed, M., Yuce, B., Rezgui, Y.: Computational intelligence techniques for hvac systems: A review. In: Building Simulation, vol. 9, pp. 359–398. Springer (2016)

    Google Scholar 

  4. Alemdar, H., Ersoy, C.: Wireless sensor networks for healthcare: A survey. Computer Networks 54(15), 2688–2710 (2010)

    Google Scholar 

  5. Arcelus, A., Jones, M.H., Goubran, R., Knoefel, F.: Integration of smart home technologies in a health monitoring system for the elderly. In: Advanced Information Networking and Applications Workshops, 2007, AINAW’07. 21st International Conference on, vol. 2, pp. 820–825. IEEE (2007)

    Google Scholar 

  6. Barroso, A., Den Brinker, B.: Boosting circadian rhythms with lighting: A model driven approach. Lighting Research and Technology p. 1477153512453667 (2012)

    Google Scholar 

  7. Bentayeb, M., Norback, D., Bednarek, M., Bernard, A., Cai, G., Cerrai, S., Eleftheriou, K.K., Gratziou, C., Holst, G.J., Lavaud, F., et al.: Indoor air quality, ventilation and respiratory health in elderly residents living in nursing homes in europe. European Respiratory Journal pp. ERJ–00,824 (2015)

    Google Scholar 

  8. Berglund, B., Brunekreef, B., Knöppe, H., Lindvall, T., Maroni, M., Mølhave, L., Skov, P.: Effects of indoor air pollution on human health. Indoor Air 2(1), 2–25 (1992)

    Google Scholar 

  9. Bose, S., Hansel, N., Tonorezos, E., Williams, D., Bilderback, A., Breysse, P., Diette, G., McCormack, M.C.: Indoor particulate matter associated with systemic inflammation in copd. Journal of Environmental Protection 6(5), 566 (2015)

    Google Scholar 

  10. Chen, M., Wan, J., González, S., Liao, X., Leung, V.C.: A survey of recent developments in home m2m networks. IEEE Communications Surveys & Tutorials 16(1), 98–114 (2014)

    Google Scholar 

  11. Cook, D.J., Krishnan, N.C., Rashidi, P.: Activity discovery and activity recognition: A new partnership. IEEE transactions on cybernetics 43(3), 820–828 (2013)

    Google Scholar 

  12. Corno, F., Sanaullah, M.: Design-time formal verification for smart environments: An exploratory perspective. In: Journal of Ambient Intelligence and Humanized Computing, vol. 5, pp. 581–599. Springer (2014). DOI 10.1007/s12652-013-0209-4

  13. Corno, F., Sanaullah, M.: Modeling and formal verification of smart environments. Security and Communication Networks 7(10), 1582–1598 (2014). DOI 10.1002/sec.794. URL http://dx.doi.org/10.1002/sec.794

  14. D. Groth, T. Skandier: Network + Study Guide: Exam N10-003: Fourth Edition. Sybex Inc., Alameda, CA (2006)

    Google Scholar 

  15. DIN EN 13779: Lüftung von Nichtwohngebäuden–allgemeine Grundlagen und Anforderungen an Lüftungs-und Klimaanlagen. Berlin: Beuth (2005)

    Google Scholar 

  16. DIN EN ISO 16484-2:2016-08: Building automation and control systems (bacs) – part 2: Hardware (iso/dis 16484-2:2016)

    Google Scholar 

  17. DIN ISO EN 7730: Ergonomie der thermischen Umgebungsanalyse, Bestimmung und Interpretation der thermischen Behaglichkeit durch Berechnung des PMV-und des PPD-Indexes und Kriterien der lokalen thermischen Behaglichkeit. German version of EN ISO 7730: 2006-05 7730 (2005)

    Google Scholar 

  18. Dittmar, A., Meffre, R., De Oliveira, F., Gehin, C., Delhomme, G.: Wearable medical devices using textile and flexible technologies for ambulatory monitoring. In: 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp. 7161–7164. IEEE (2005)

    Google Scholar 

  19. Dounis, A.I., Caraiscos, C.: Advanced control systems engineering for energy and comfort management in a building environmental review. Renewable and Sustainable Energy Reviews 13(6), 1246–1261 (2009)

    Google Scholar 

  20. Dovjak, M., Shukuya, M., Krainer, A.: Individualisation of personal space in hospital environment. International Journal of Exergy 14(2), 125–155 (2014)

    Google Scholar 

  21. Eisenhauer, M., Rosengren, P., Antolin, P.: Hydra: A development platform for integrating wireless devices and sensors into ambient intelligence systems. In: The Internet of Things, pp. 367–373. Springer (2010)

    Google Scholar 

  22. Fadlullah, Z.M., Fouda, M.M., Kato, N., Takeuchi, A., Iwasaki, N., Nozaki, Y.: Toward intelligent machine-to-machine communications in smart grid. IEEE Communications Magazine 49(4), 60–65 (2011)

    Google Scholar 

  23. Fang, L., Wyon, D., Clausen, G., Fanger, P.O.: Impact of indoor air temperature and humidity in an office on perceived air quality, sbs symptoms and performance. Indoor Air 14(s7), 74–81 (2004)

    Google Scholar 

  24. Fanger, P.O.: Introduction of the olf and the decipol units to quantify air pollution perceived by humans indoors and outdoors. Energy and buildings 12(1), 1–6 (1988)

    Google Scholar 

  25. Feldmeier, M., Paradiso, J.A.: Personalized hvac control system. In: Internet of Things (IOT), 2010, pp. 1–8. IEEE (2010)

    Google Scholar 

  26. Ferreira, P., Ruano, A., Silva, S., Conceicao, E.: Neural networks based predictive control for thermal comfort and energy savings in public buildings. Energy and Buildings 55, 238–251 (2012)

    Google Scholar 

  27. Fong, A., Fong, B.: Home telemedicine system for chronic respiratory disease surveillance an automated solution for disease control and management to combat the health impact of indoor air pollution. In: Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on, pp. 472–476. IEEE (2012)

    Google Scholar 

  28. Gadzheva, M.: Legal issues in wireless building automation: an eu perspective. International Journal of Law and Information Technology 16(2), 159–175 (2008)

    Google Scholar 

  29. Gagge, A., Stolwijk, J., Saltin, B.: Comfort and thermal sensations and associated physiological responses during exercise at various ambient temperatures. Environmental Research 2(3), 209–229 (1969)

    Google Scholar 

  30. Gao, S., Hoogendoorn, M.: Using Evolutionary Algorithms to Personalize Controllers in Ambient Intelligence, pp. 1–11. Springer International Publishing, Cham (2015)

    Google Scholar 

  31. Gasparrini, A., Armstrong, B.: Time series analysis on the health effects of temperature: advancements and limitations. Environmental research 110(6), 633–638 (2010)

    Google Scholar 

  32. Grigore, O., Gavat, I., Cotescu, M., Grigore, C.: Stochastic algorithms for adaptive lighting control using psychophysiological features. International Journal of Biology and Biomedical Engineering 2, 9–18 (2008)

    Google Scholar 

  33. Guillemin, A., Morel, N.: An innovative lighting controller integrated in a self-adaptive building control system. Energy and buildings 33(5), 477–487 (2001)

    Google Scholar 

  34. Guillet, S., Bouchard, B., Bouzouane, A.: Safe and automatic addition of fault tolerance for smart homes dedicated to people with disabilities. In: Ravulakollu, Khan, Abraham (ed.) Trends in Ambient Intelligent Systems, Studies in Computational Intelligence, vol. 633, pp. 87–116. Springer, Berlin, Heidelberg (2016). DOI 10.1007/978-3-319-30184-6_4

  35. Jaakkola, H., Thalheim, B.: Architecture-driven modelling methodologies. Frontiers in Artificial Intelligence and Applications (225), 97–116 (2010). DOI 10.3233/978-1-60750-689-8-97

  36. Hansel, N.N., McCormack, M.C., Belli, A.J., Matsui, E.C., Peng, R.D., Aloe, C., Paulin, L., Williams, D.L., Diette, G.B., Breysse, P.N.: In-home air pollution is linked to respiratory morbidity in former smokers with chronic obstructive pulmonary disease. American journal of respiratory and critical care medicine 187(10), 1085–1090 (2013)

    Google Scholar 

  37. Hodgson, L.E., Murphy, P.B.: Update on clinical trials in home mechanical ventilation. Journal of thoracic disease 8(2), 255 (2016)

    Google Scholar 

  38. Huisman, E., Morales, E., van Hoof, J., Kort, H.: Healing environment: A review of the impact of physical environmental factors on users. Building and environment 58, 70–80 (2012). DOI 10.1016/j.buildenv.2012.06.016

  39. Ichimori, A., Tsukasaki, K., Koyama, E.: Measuring illuminance and investigating methods for its quantification among elderly people living at home in japan to study the relationship between illuminance and physical and mental health. Geriatrics & gerontology international 13(3), 798–806 (2013)

    Google Scholar 

  40. Kephart, J.O., Chess, D.M.: The vision of autonomic computing. Computer 36(1), 41–50 (2003). DOI 10.1109/MC.2003.1160055

  41. Khajenasiri, I., Virgone, J., Gielen, G.: A presence-based control strategy solution for hvac systems. In: Consumer Electronics (ICCE), 2015 IEEE International Conference on, pp. 620–622. IEEE (2015)

    Google Scholar 

  42. Kolokotsa, D., Tsiavos, D., Stavrakakis, G., Kalaitzakis, K., Antonidakis, E.: Advanced fuzzy logic controllers design and evaluation for buildings occupants thermal–visual comfort and indoor air quality satisfaction. Energy and buildings 33(6), 531–543 (2001)

    Google Scholar 

  43. Krishnan, N.C., Cook, D.J.: Activity recognition on streaming sensor data. Pervasive and mobile computing 10, 138–154 (2014)

    Google Scholar 

  44. Kumar, A., Hancke, G.P.: An energy-efficient smart comfort sensing system based on the ieee 1451 standard for green buildings. IEEE Sensors Journal 14(12), 4245–4252 (2014)

    Google Scholar 

  45. Liu, W., Lian, Z., Liu, Y.: Heart rate variability at different thermal comfort levels. European journal of applied physiology 103(3), 361–366 (2008)

    Google Scholar 

  46. Lloyd, E., McCormack, C., McKeever, M., Syme, M.: The effect of improving the thermal quality of cold housing on blood pressure and general health: a research note. Journal of epidemiology and community health 62(9), 793–797 (2008)

    Google Scholar 

  47. López, G., Moura, P., Moreno, J.I., De Almeida, A.: Enersip: M2M-based platform to enable energy efficiency within energy-positive neighbourhoods. In: Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on, pp. 217–222. IEEE (2011)

    Google Scholar 

  48. Melikov, A.K.: Advanced air distribution: improving health and comfort while reducing energy use. Indoor air 26(1), 112–124 (2016)

    Google Scholar 

  49. Mendes, T.D., Godina, R., Rodrigues, E.M., Matias, J.C., Catalao, J.P.: Smart home communication technologies and applications: Wireless protocol assessment for home area network resources. Energies 8(7), 7279–7311 (2015)

    Google Scholar 

  50. Merz, Hansemann, Hübner: Building Automation: Communication systems with EIB/KNX, LON und BACnet. Signals and Communication Technology. Springer, Berlin, Heidelberg (2009). DOI 10.1007/978-3-540-88829-1

  51. Moreno, M., Santa, J., Zamora, M.A., Skarmeta, A.F.: A holistic iot-based management platform for smart environments. In: Communications (ICC), 2014 IEEE International Conference on, pp. 3823–3828. IEEE (2014)

    Google Scholar 

  52. Pan, M.S., Yeh, L.W., Chen, Y.A., Lin, Y.H., Tseng, Y.C.: A wsn-based intelligent light control system considering user activities and profiles. IEEE Sensors Journal 8(10), 1710–1721 (2008)

    Google Scholar 

  53. Parsons, K.C.: The effects of gender, acclimation state, the opportunity to adjust clothing and physical disability on requirements for thermal comfort. Energy and Buildings 34(6), 593–599 (2002)

    Google Scholar 

  54. Peng, C., Qian, K., Wang, C.: Design and application of a voc-monitoring system based on a zigbee wireless sensor network. IEEE Sensors Journal 15(4), 2255–2268 (2015)

    Google Scholar 

  55. Piro, F.N., Madsen, C., Næss, Ø., Nafstad, P., Claussen, B.: A comparison of self reported air pollution problems and gis-modeled levels of air pollution in people with and without chronic diseases. Environmental Health 7(1), 1 (2008)

    Google Scholar 

  56. Rahmani, A.M., Thanigaivelan, N.K., Gia, T.N., Granados, J., Negash, B., Liljeberg, P., Tenhunen, H.: Smart e-health gateway: Bringing intelligence to internet-of-things based ubiquitous healthcare systems. In: Consumer Communications and Networking Conference (CCNC), 2015 12th Annual IEEE, pp. 826–834. IEEE (2015)

    Google Scholar 

  57. Ransing, R.S., Rajput, M.: Smart home for elderly care, based on wireless sensor network. In: Nascent Technologies in the Engineering Field (ICNTE), 2015 International Conference on, pp. 1–5. IEEE (2015)

    Google Scholar 

  58. Raynal, M.: A look at basics of distributed computing. In: 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS), pp. 1–11 (2016). DOI 10.1109/ICDCS.2016.109

  59. Robol, F., Viani, F., Giarola, E., Massa, A.: Wireless sensors for distributed monitoring of energy-efficient smart buildings. In: Microwave Symposium (MMS), 2015 IEEE 15th Mediterranean, pp. 1–4. IEEE (2015)

    Google Scholar 

  60. Rosenthal, N.E., Sack, D.A., Carpenter, C.J., Parry, B.L., Mendelson, W.B., Wehr, T.A.: Antidepressant effects of light in seasonal affective disorder. Am J Psychiatry 142(2), 163–170 (1985)

    Google Scholar 

  61. Sánchez-Pi, N., Mangina, E., Carbó, J., Molina, J.M.: Multi-agent System (MAS) Applications in Ambient Intelligence (AmI) Environments, pp. 493–500. Springer, Berlin, Heidelberg (2010)

    Google Scholar 

  62. Shikder, S., Mourshed, M., Price, A.: Therapeutic lighting design for the elderly: a review. Perspectives in public health 132(6), 282–291 (2012)

    Google Scholar 

  63. Skubic, M., Guevara, R.D., Rantz, M.: Automated health alerts using in-home sensor data for embedded health assessment. IEEE journal of translational engineering in health and medicine 3, 1–11 (2015)

    Google Scholar 

  64. Smolders, K.C., De Kort, Y.A., Cluitmans, P.: A higher illuminance induces alertness even during office hours: Findings on subjective measures, task performance and heart rate measures. Physiology & Behavior 107(1), 7–16 (2012)

    Google Scholar 

  65. Sprint, G., Cook, D., Fritz, R., Schmitter-Edgecombe, M.: Detecting health and behavior change by analyzing smart home sensor data. In: 2016 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 1–3. IEEE (2016)

    Google Scholar 

  66. Stahl, E., Lindberg, A., Jansson, S.A., Rönmark, E., Svensson, K., Andersson, F., Löfdahl, C.G., Lundbäck, B.: Health-related quality of life is related to copd disease severity. Health and quality of life outcomes 3(1), 1 (2005)

    Google Scholar 

  67. Sundell, J., Levin, H., Nazaroff, W.W., Cain, W.S., Fisk, W.J., Grimsrud, D.T., Gyntelberg, F., Li, Y., Persily, A., Pickering, A., et al.: Ventilation rates and health: multidisciplinary review of the scientific literature. Indoor air 21(3), 191–204 (2011)

    Google Scholar 

  68. Surie, D., Laguionie, O., Pederson, T.: Wireless sensor networking of everyday objects in a smart home environment. In: Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on, pp. 189–194. IEEE (2008)

    Google Scholar 

  69. Suryadevara, N.K., Mukhopadhyay, S.C.: Wireless sensor network based home monitoring system for wellness determination of elderly. Sensors Journal, IEEE 12(6), 1965–1972 (2012)

    Google Scholar 

  70. Taheri, M., Schuss, M., Fail, A., Mahdavi, A.: A performance assessment of an office space with displacement, personal, and natural ventilation systems. In: Building Simulation, vol. 9, pp. 89–100. Springer (2016)

    Google Scholar 

  71. Tapia, D.I., Alonso, R.S., García, Ó., Corchado, J.M., Bajo, J.: Wireless sensor networks, real-time locating systems and multi-agent systems: The perfect team. In: FUSION, vol. 2013, pp. 2177–2184 (2013)

    Google Scholar 

  72. Torresani, W., Battisti, N., Maglione, A., Brunelli, D., Macii, D.: A multi-sensor wireless solution for indoor thermal comfort monitoring. In: Environmental Energy and Structural Monitoring Systems (EESMS), 2013 IEEE Workshop on, pp. 1–6. IEEE (2013)

    Google Scholar 

  73. Tunca, C., Alemdar, H., Ertan, H., Incel, O.D., Ersoy, C.: Multimodal wireless sensor network-based ambient assisted living in real homes with multiple residents. Sensors 14(6), 9692–9719 (2014)

    Google Scholar 

  74. Valera, A.C., Tan, H.P., Bai, L.: Improving the sensitivity of unobtrusive inactivity detection in sensor-enabled homes for the elderly. In: 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pp. 1–6. IEEE (2016)

    Google Scholar 

  75. Valiente-Rocha, P.A., Lozano-Tello, A.: Ontology and SWRL-Based Learning Model for Home Automation Controlling, pp. 79–86. Springer, Berlin, Heidelberg (2010)

    Google Scholar 

  76. Van Hoof, J., Schoutens, A., Aarts, M.: High colour temperature lighting for institutionalised older people with dementia. Building and Environment 44(9), 1959–1969 (2009)

    Google Scholar 

  77. VDI 3814:2009-11: Building automation and control systems (bacs)

    Google Scholar 

  78. Veitch, J., Newsham, G., Boyce, P., Jones, C.: Lighting appraisal, well-being and performance in open-plan offices: A linked mechanisms approach. Lighting Research and Technology 40(2), 133–151 (2008)

    Google Scholar 

  79. Wan, J., Li, D., Zou, C., Zhou, K.: M2M communications for smart city: an event-based architecture. In: Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on, pp. 895–900. IEEE (2012)

    Google Scholar 

  80. Wan, J., OGrady, M.J., OHare, G.M.: Dynamic sensor event segmentation for real-time activity recognition in a smart home context. Personal and Ubiquitous Computing 19(2), 287–301 (2015)

    Google Scholar 

  81. Wargocki, P., Sundell, J., Bischof, W., Brundrett, G., Fanger, P.O., Gyntelberg, F., Hanssen, S., Harrison, P., Pickering, A., Seppänen, O., et al.: Ventilation and health in non-industrial indoor environments: report from a European multidisciplinary scientific consensus meeting (euroven). Indoor Air 12(2), 113–128 (2002)

    Google Scholar 

  82. Wen, Y.J., Agogino, A.M.: Wireless networked lighting systems for optimizing energy savings and user satisfaction. In: Wireless Hive Networks Conference, 2008. WHNC 2008. IEEE, pp. 1–7. IEEE (2008)

    Google Scholar 

  83. World Health Organization and others: WHO guidelines for indoor air quality: selected pollutants. WHO (2010)

    Google Scholar 

  84. Yang, C.T., Liao, C.J., Liu, J.C., Den, W., Chou, Y.C., Tsai, J.J.: Construction and application of an intelligent air quality monitoring system for healthcare environment. Journal of medical systems 38(2), 1–10 (2014)

    Google Scholar 

  85. Yao, Y., Lian, Z., Liu, W., Jiang, C., Liu, Y., Lu, H.: Heart rate variation and electroencephalograph–the potential physiological factors for thermal comfort study. Indoor air 19(2), 93–101 (2009)

    Google Scholar 

  86. Ye, J., Stevenson, G., Dobson, S.: Kcar: A knowledge-driven approach for concurrent activity recognition. Pervasive and Mobile Computing 19, 47–70 (2015)

    Google Scholar 

  87. Yeh, L.W., Lu, C.Y., Kou, C.W., Tseng, Y.C., Yi, C.W.: Autonomous light control by wireless sensor and actuator networks. IEEE Sensors Journal 10(6), 1029–1041 (2010)

    Google Scholar 

  88. Zentralverband Elektrotechnik- und Elektronikindustrie e.V.: Handbuch Geb¨audesystemtechnik: Grundlagen, 4 edn. Europäischer Installations Bus. ZVEI (1997)

    Google Scholar 

  89. Zhang, Y., Yu, R., Xie, S., Yao, W., Xiao, Y., Guizani, M.: Home m2m networks: architectures, standards, and qos improvement. IEEE Communications Magazine 49(4), 44–52 (2011)

    Google Scholar 

  90. Zhou, P., Huang, G., Zhang, L., Tsang, K.F.: Wireless sensor network based monitoring system for a large-scale indoor space: data process and supply air allocation optimization. Energy and Buildings 103, 365–374 (2015)

    Google Scholar 

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  1. ITAS - Institute for Technical Assistance Systems, Jade University of Applied Sciences Oldenburg, 26121, Oldenburg, Germany

    M. Frenken, J. Flessner & J. Hurka

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  2. J. Flessner
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  1. Department of Electrical and Computer Engineering, North Dakota State University , Fargo, North Dakota, USA

    Samee U. Khan

  2. School of Information Technologies, University of Sydney, Sydney, New South Wales, Australia

    Albert Y. Zomaya

  3. Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan

    Assad Abbas

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Frenken, M., Flessner, J., Hurka, J. (2017). Building Automation and Control Systems for Healthcare in Smart Homes. In: Khan, S., Zomaya, A., Abbas, A. (eds) Handbook of Large-Scale Distributed Computing in Smart Healthcare. Scalable Computing and Communications. Springer, Cham. https://doi.org/10.1007/978-3-319-58280-1_5

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