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access icon free Cattle health monitoring system using wireless sensor network: a survey from innovation perspective

© The Institution of Engineering and Technology
Received 12/05/2017, Accepted 16/03/2018, Revised 15/03/2018, Published 27/03/2018

Health monitoring of dairy cattle plays a vital role for increasing the dairy products supply worldwide. Nowadays farmers are showing less interest in dairy sector as animals are suffering from various ailing health issues, unpredictable killing diseases, and advanced breeding costs. Therefore, it is necessary for farmers to adopt efficient technical methods for cattle health monitoring to increase the milk production supply. This study documented various wireless sensor network (WSN)-based automatic health monitoring systems for monitoring various diseases of dairy cattle. The main objective of WSN-based intelligent monitoring systems in farm automation is to monitor the health of dairy cattle on regular basis. This monitoring system needs to be installed in local and remote locations of farms that will assist the concerned farmers in monitoring their cattle activities from diverse locations for the whole day. All collected factors from the automated system will be stored in a database. Subsequently, with the help of farm automation, farmers can retrieve information for the execution of correct farm control strategies. Moreover, WSN is low-cost technology which is specific for the identification of diseases in dairy animals. This revolution in advanced technological farm automation will aid in improving the productivity rate with the reduction of human intervention. This review study concludes all cattle monitoring systems along with various issues and challenges.

Inspec keywords: dairy products; wireless sensor networks; intelligent sensors; diseases; dairying; computerised monitoring

Other keywords: WSN; dairy product; advanced breeding cost; automatic health monitoring system; milk production supply; disease; wireless sensor network; intelligent monitoring system; farm control strategy; farm automation; dairy cattle health monitoring system

Subjects: Computerised instrumentation; Intelligent sensors; Computerised instrumentation

References

    1. 1)
      • 39. Baggio, A.: ‘Wireless sensor networks in precision agriculture’. ACM Workshop on Real-World Wireless Sensor Networks (REALWSN 2005), Stockholm, Sweden, 20 June 2005.
    2. 2)
      • 37. Jain, V.R., Bagree, R., Kumar, A., et al: ‘wildCENSE: GPS based animal tracking system’. Int. Conf. Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008, Sydney, Australia, 15 December 2008, pp. 617–622.
    3. 3)
      • 57. Cugnasca, C.E., Saraiva, A.M., de Alencar Nääs, I., et al: ‘Ad Hoc wireless sensor networks applied to animal welfare research’. Livestock Environment VIII, Iguassu Falls, Brazil, 31 August–4 September 2008, p. 146.
    4. 4)
      • 86. Vijayan, A., Suresh, M.: ‘Wearable sensors for animal health monitoring using Zigbee’, IARJSET, 2016.
    5. 5)
      • 56. Cai, Q.Y., Jain, M.K., Grimes, C.A.: ‘A wireless, remote query ammonia sensor’, Sens. Actuators B, Chem., 2001, 77, (3), pp. 614–619.
    6. 6)
      • 75. Brown-Brandt, T.M., Yanagi, T.Jr., Xin, H., et al: ‘A new telemetry system for measuring core body temperature in livestock and poultry’, Appl. Eng. Agric., 2003, 19, (5), p. 583.
    7. 7)
      • 36. Wallace, T.L., Wallace, S.A., Wallace Thomas, L., et al: ‘Temperature-sensing system for cattle’. United States Patent US 4,865,044, 12 September 1989.
    8. 8)
      • 9. Roginski, H., Fuquay, J.W., Fox, P.F.: ‘Encyclopedia of dairy sciences’, vol. 1–4 (Academic Press, Amsterdam, 2003).
    9. 9)
      • 14. Youssef, M.A., El-Khodery, S.A., El-deeb, W.M., et al: ‘Ketosis in buffalo (Bubalus bubalis): clinical findings and the associated oxidative stress level’, Trop. Anim. Health Prod., 2010, 42, (8), pp. 1771–1777.
    10. 10)
      • 21. Mayer, K., Ellis, K., Taylor, K.: ‘Cattle health monitoring using wireless sensor networks’. Proc. Communication and Computer Networks Conf. (CCN 2004), Cambridge, MA, USA, 8 November 2004, pp. 8–10.
    11. 11)
      • 87. Roessen, J., Harty, E., Beirne, C.: ‘Moomonitor+ smart sensing technology and big data-resting time as an indicator for welfare status on farms’, ICAR Tech. Ser., 2015, 19, (19), pp. 99–102.
    12. 12)
      • 28. Ipema, A.H., Goense, D., Hogewerf, P.H., et al: ‘Pilot study to monitor body temperature of dairy cows with a rumen bolus’, Comput. Electron. Agric., 2008, 64, (1), pp. 49–52.
    13. 13)
      • 58. Darr, M.J., Zhao, L.: ‘A wireless data acquisition system for monitoring temperature variations in swine barns’. Livestock Environment VIII, Iguassu Falls, Brazil, 31 August–4 September 2008, p. 143.
    14. 14)
      • 3. Joo, Y.S., An, S.H., Kim, O.K., et al: ‘Foot-and-mouth disease eradication efforts in the Republic of Korea’, Can. J. Vet. Res., 2002, 66, pp. 122–124.
    15. 15)
      • 40. Berckmans, D.: ‘Automatic on-line monitoring of animals by precision livestock farming’, Livestock Prod. Soc., 2006, 287, pp. 27–30.
    16. 16)
      • 11. Radostits, O.M., Littlejohns, I.R.: ‘New concepts in the pathogenesis, diagnosis and control of diseases caused by the bovine viral diarrhea virus’, Can. Vet. J., 1988, 29, (6), p. 513.
    17. 17)
      • 43. Von Keyserlingk, M.A., Rushen, J., de Passillé, A.M., et al: ‘Invited review: the welfare of dairy cattle—key concepts and the role of science’, J. Dairy Sc., 2009, 92, (9), pp. 4101–4111.
    18. 18)
      • 2. Department of Animal Husbandry, Dairying & Fisheries. Available at http://dahd.nic.in/.
    19. 19)
      • 68. Bewley, J.M., Boyce, R.E., Hockin, J., et al: ‘Influence of milk yield, stage of lactation, and body condition on dairy cattle lying behaviour measured using an automated activity monitoring sensor’, J. Dairy Res., 2010, 77, (01), pp. 1–6.
    20. 20)
      • 62. Huircan, J.I., Munoz, C., Young, H., et al: ‘Zigbee based wireless sensor network localization for cattle monitoring in grazing fields’, Comput. Electron. Agric., 2010, 74, pp. 258–264.
    21. 21)
      • 26. Callaway, E.H.Jr.: ‘Wireless sensor networks: architectures and protocols’ (CRC Press, Boca Raton, London, 2003).
    22. 22)
      • 67. Benzaquen, M.E., Risco, C.A., Archbald, L.F., et al: ‘Rectal temperature, calving-related factors, and the incidence of puerperal metritis in postpartum dairy cows’, J. Dairy Sci., 2007, 90, pp. 2804–2814.
    23. 23)
      • 51. Munksgaard, L., Jensen, M.B., Herskin, M.S., et al: ‘The need for lying time in high producing dairy cows’. Proc. 39th Int. Congress of the ISAE, Kanagawa, Japan, 2005, pp. 38–42.
    24. 24)
      • 81. Stewart, M., Webster, J.R., Verkerk, G.A., et al: ‘Non-invasive measurement of stress in dairy cows using infrared thermography’, Physiol. Behav., 2007, 92, pp. 520–525.
    25. 25)
      • 59. Silanikove, N.: ‘Effects of heat stress on the welfare of extensively managed domestic ruminants’, Livestock Prod. Sci., 2000, 67, (1), pp. 1–8.
    26. 26)
      • 8. Lukonge, A.B., Kaijage, D.S., Sinde, R.S.: ‘Review of cattle monitoring system using wireless network’, International Journal of Engineering and Computer Science, 2014, 3, (5), pp. 5819–5822.
    27. 27)
      • 84. Patil, A., Pawar, C., Patil, N., et al: ‘Smart health monitoring system for animals’. 2015 Int. Conf. Green Computing and Internet of Things (ICGCIoT), Noida, India, 8 October 2015, pp. 1560–1564.
    28. 28)
      • 92. Peng, R.M., Han, Y., Gao, Q.: ‘Distributed estimation scheme based on cooperative communication in wireless sensor networks’, IET Wirel. Sens. Syst., 2014, 4, (4), pp. 206–212.
    29. 29)
      • 42. Nagl, L., Schmitz, R., Warren, S., et al: ‘Wearable sensor system for wireless state-of-health determination in cattle’. Proc. 25th Annual Int. Conf. IEEE EMBS, Cancun, Mexico, 17 September 2003, vol. 4, pp. 3012–3015.
    30. 30)
      • 25. Kwong, K.H., Wu, T.T., Goh, H.G., et al: ‘Wireless sensor networks in agriculture: cattle monitoring for farming industries’. Progress in Electromagnetics Research Symp., 23 March 2009, vol. 5, no. 1, pp. 31–35.
    31. 31)
      • 15. Ranjhan, S.K.: ‘Animal nutrition in the tropics’ (Vikas Publishing House, New Delhi, 2001).
    32. 32)
      • 74. Green, O., Nadimi, E.S., Blanes-Vidal, V., et al: ‘Monitoring and modeling temperature variations inside silage stacks using novel wireless sensor networks’, Comput. Electron. Agric., 2009, 69, (2), pp. 149–157.
    33. 33)
      • 45. Helwatkar, M.A., Riordan, D., Walsh, J.: ‘Sensor technology for animal health monitoring’. Proc. 8th Int. Conf. Sensing Technology, Liverpool, UK, 2014.
    34. 34)
      • 66. Arfuso, F., Rizzo, M., Giannetto, C., et al: ‘Agerelated changes of serum mitochondrial uncoupling 1, rumen and rectal temperature in goats’, J. Therm Biol., 2016, 59, pp. 47–51.
    35. 35)
      • 41. Eradus, W.J., Jansen, M.B.: ‘Animal identification and monitoring’, Comput. Electron. Agric., 1999, 24, (1), pp. 91–98.
    36. 36)
      • 60. Blackshaw, J.K., Blackshaw, A.W.: ‘Heat stress in cattle and the effect of shade on production and behaviour: a review’, Anim. Prod. Sci., 1994, 34, (2), pp. 285–295.
    37. 37)
      • 83. Keertana, P., Vanathi, B.: ‘IoT based animal health monitoring and tracking system using Zigbee’, Int. J. Res. Trends Innov., 2017, 2, (4), pp. 234–238.
    38. 38)
      • 78. Guo, Y., Corke, P., Poulton, G., et al: ‘Animal behaviour understanding using wireless sensor networks’. Proc. 2006 31st IEEE Conf. Local Computer Networks, Tampa, FL, USA, 14 November 2006, pp. 607–614.
    39. 39)
      • 20. Baker, J.C.: ‘The clinical manifestations of bovine viral diarrhea infection’, Vet. Clin. North Am., Food Anim. Pract., 1995, 11, (3), pp. 425–445.
    40. 40)
      • 50. Umstatter, C., Waterhouse, A., Holland, J.: ‘An automated method of simple behavior classification as a tool for management improvement in extensive systems’. Fourth Int. Workshop on Smart Sensors in Livestock Monitoring, 2006, pp. 57–58, (Book of Abstracts).
    41. 41)
      • 79. Allen, J.D., Anderson, S.D., Collier, R.J., et al: ‘Managing heat stress and its impact on cow behavior’. Western Dairy Management Conf., Reno, NV, 6–8 March 2009, pp. 150–162.
    42. 42)
      • 13. LeBlanc, S.: ‘Monitoring metabolic health of dairy cattle in the transition period’, J. Reprod. Dev., 2010, 56, (S), pp. S29–S35.
    43. 43)
      • 65. Dalal, S., Zhukovsky, D.S.: ‘Pathophysiology and management of fever’, J. Support Oncol., 2006, 4, pp. 9–16.
    44. 44)
      • 71. Oudshoorn, F.W., Kristensen, T., Nadimi, E.S.: ‘Dairy cow defecation and urination frequency and spatial distribution related to time limited grazing, accepted in the journal of livestock production sciences’, Livestock Sci., 2008, 113, (1), pp. 62–73, doi: 10.1016/j.livsci.2007.02.021.
    45. 45)
      • 82. Krishnamurthi, G., Stantz, K.M., Steinmetz, R., et al: ‘Functional imaging in small animals using X-ray computed tomography-study of physiologic measurement reproducibility’, IEEE Trans. Med. Imag., 2005, 24, (7), pp. 832–843.
    46. 46)
      • 33. Smith, K., Martinez, A., Craddolph, R., et al: ‘An integrated cattle health monitoring system’. 28th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society, 2006. EMBS'06, New York, NY, USA, 30 August 2006, pp. 4659–4662.
    47. 47)
      • 24. Ruiz-Garcia, L., Lunadei, L., Barreiro, P., et al: ‘A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends’, Sensors, 2009, 9, (6), pp. 4728–4750.
    48. 48)
      • 88. Thorup, V.M., Nielsen, B.L., Robert, P.E., et al: ‘Lameness in cows affects daily feeding time but not rumination time as characterized from sensors’. Proc. Third DairyCare Conf., Zadar, Croatia, 2015.
    49. 49)
      • 5. Ducrot, C., Bed'Hom, B., Béringue, V., et al: ‘Issues and special features of animal health research’, Vet. Res., 2011, 42, (1), p. 1.
    50. 50)
      • 34. Wietrzyk, B., Radenkovic, M.: ‘Energy efficiency in the mobile Ad Hoc networking approach to monitoring farm animals’. Sixth Int. Conf. Networking, 2007. ICN ‘07, France, 22 April 2007, p. 1.
    51. 51)
      • 31. Kumar, A., Hancke, G.P.: ‘A Zigbee-based animal health monitoring system’, IEEE Sens. J., 2015, 15, (1), pp. 610–617.
    52. 52)
      • 69. Bewley, J.M., Schutz, M.M.: ‘Recent studies using a reticular bolus system for monitoring dairy cattle core body temperature’. Paper Presented at the Proc. First North Am. Conf. Precision Dairy Management, Toronto, Canada, 2010.
    53. 53)
      • 55. Jegadeesan, S., Venkatesan, G.P.: ‘Smart cow health monitoring, farm environmental monitoring and control system using wireless sensor networks’, Int. J. Adv. Eng. Tech., 2016, VII, (I), pp. 334–339.
    54. 54)
      • 90. Chen, W., Wassell, I.J.: ‘Energy-efficient signal acquisition in wireless sensor networks: a compressive sensing framework’, IET Wirel. Sens. Syst., 2012, 2, (1), pp. 1–8.
    55. 55)
      • 38. Foulkes, J., Tucker, P., Caronan, M., et al: ‘Livestock management system’. Proc. Int. Conf. Embedded Systems and Applications (ESA), 1 January 2013, p. 1. The Steering Committee of the World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp).
    56. 56)
      • 89. Sarangi, S., Bisht, A., Rao, V., et al: ‘Development of a wireless sensor network for animal management: experiences with moosense’. 2014 IEEE Int. Conf. Advanced Networks and Telecommuncations Systems (ANTS), New Delhi, India, 14 December 2014, pp. 1–6.
    57. 57)
      • 46. Zhang, P., Sadler, C.M., Lyon, S.A., et al: ‘Hardware design experiences in ZebraNet’. Proc. SenSys, Baltimore, Maryland, USA, 2004.
    58. 58)
      • 30. Watanabe, T., Sakurai, A., Kitazaki, K.: ‘Dairy cattle monitoring using wireless acceleration-sensor networks’. 2008 IEEE Sensors, Lecce, Italy, 26 October 2008, pp. 526–529.
    59. 59)
      • 32. Guice, D., Pugh, W., Thompson, N., et al: ‘Method and system for monitoring the health and status of livestock and other animals’. United States Patent Application US 09/853,460, 10 May 2001.
    60. 60)
      • 27. Radenkovic, M., Wietrzyk, B.: ‘Wireless mobile ad-hoc sensor networks for very large scale cattle monitoring’ 6th International Workshop on Applications and Services in Wireless Networks (ASWN'06), March 2006.
    61. 61)
      • 6. Nadimi, E.S., Jørgensen, R.N., Blanes-Vidal, V., et al: ‘Monitoring and classifying animal behavior using ZigBee-based mobile ad hoc wireless sensor networks and artificial neural networks’, Comput. Electron. Agric.., 2012, 82, pp. 44–54.
    62. 62)
      • 16. Roche, J.F.: ‘The effect of nutritional management of the dairy cow on reproductive efficiency’, Anim. Reprod. Sci., 2006, 96, (3), pp. 282–296.
    63. 63)
      • 7. Mudziwepasi, S.K., Scott, M.S.: ‘Assessment of a wireless sensor network based monitoring tool for zero effort technologies: a cattle-health and movement monitoring test case’. 2014 IEEE 6th Int. Conf. Adaptive Science & Technology (ICAST), Ota, Nigeria, 29 October 2014, pp. 1–6.
    64. 64)
      • 17. Khan, M.Z., Khan, A.: ‘Basic facts of mastitis in dairy animals: a review’, Pak. Vet. J., 2006, 26, (4), p. 204.
    65. 65)
      • 64. Sikka, P., Corke, P., Valencia, P., et al: ‘Wireless ad hoc sensor and actuator networks on the farm’. Proc. IPSN'06, Nashville, Tennessee, USA, 2006, pp. 492–499.
    66. 66)
      • 80. Lovett, K.R., Pacheco, J.M., Packer, C., et al: ‘Detection of foot and mouth disease virus infected cattle using infrared thermography’, Vet. J., 2009, 180, pp. 317–324.
    67. 67)
      • 35. Wietrzyk, B., Radenkovic, M., Kostadinov, I.: ‘Practical MANETs for pervasive cattle monitoring’. Seventh Int. Conf. Networking, 2008. ICN 2008, Cancun, Mexico, 13 April 2008, pp. 14–23.
    68. 68)
      • 70. Wilson, S.C., Dobos, R.C., Fell, L.R.: ‘Spectral analysis of feeding behavior of cattle kept under different feedlot conditions’, J. Appl. Anim. Welfare Sci., 2005, 8, (1), pp. 13–24.
    69. 69)
      • 44. Nkwari, P.K., Rimer, S., Paul, B.S.: ‘Cattle monitoring system using wireless sensor network in order to prevent cattle rustling’. IST-Africa Conf. Proc., 2014, Mauritius, 7 May 2014, pp. 1–10.
    70. 70)
      • 23. Huircán, J.I., Muñoz, C., Young, H., et al: ‘ZigBee-based wireless sensor network localization for cattle monitoring in grazing fields’, Comput. Electron. Agric., 2010, 74, (2), pp. 258–264.
    71. 71)
      • 49. Butler, Z., Corke, P., Peterson, R., et al: ‘Networked cows: virtual fences for controlling cows’. IEEE Conf. Robotics and Automation Proc. ICRA, New Orleans, LA, 2004, vol. 5, pp. 4429–4436.
    72. 72)
      • 29. Nadimi, E.S., Søgaard, H.T., Bak, T.: ‘ZigBee-based wireless sensor networks for classifying the behaviour of a herd of animals using classification trees’, Biosyst. Eng., 2008, 100, (2), pp. 167–176.
    73. 73)
      • 54. Park, M.C., Jung, H.C., Kim, T.K., et al: ‘Design of cattle health monitoring system using wireless bio-sensor networks’. Electronics, Communications and Networks IV: Proc. 4th Int. Conf. Electronics, Communications and Networks (CECNET IV), Beijing, China, 12–15 December 2014, p. 325.
    74. 74)
      • 18. Napolitano, F., Grasso, F., Bordi, A., et al: ‘On-farm welfare assessment in dairy cattle and buffaloes: evaluation of some animal-based parameters’, Ital. J. Anim. Sci., 2005, 4, (3), pp. 223–231.
    75. 75)
      • 53. Hwang, J., Yoe, H.: ‘Study of the ubiquitous hog farm system using wireless sensor networks for environmental monitoring and facilities control’, Sensors, 2010, 10, (12), pp. 10752–10777.
    76. 76)
      • 72. Schwager, M., Anderson, D.M., Butler, Z., et al: ‘Robust classification of animal tracking data’, J. Comput. Electron. Agric., 2007, 56, (1), pp. 46–59.
    77. 77)
      • 73. Sallvik, K., Oostra, H.H.: ‘Automatic identification and determination of the location of dairy cows’. Precision Livestock Farming ‘05, 2005, pp. 85–92.
    78. 78)
      • 48. Handcock, R.N., Swain, D.L., Hurley, G.J.B., et al: ‘Monitoring animal behaviour and environmental interactions using wireless sensor networks, GPS collars and satellite remote sensing’, Sensors, 2009, 9, pp. 3586–3603.
    79. 79)
      • 52. Kwong, K.H., Wu, T.T., Sasloglou, K., et al: ‘Implementation of herd management system with wireless sensor networks’. Precision Livestock Farming'09, Prague, Czech Republic, July 2009, p. 149.
    80. 80)
      • 4. McLaws, M., Ribble, C., Martin, W., et al: ‘Factors associated with the early detection of foot-and-mouth disease during the 2001 epidemic in the United Kingdom’, Can. Vet. J., 2009, 50, pp. 53–60.
    81. 81)
      • 47. Ungar, E.D., Henkin, Z., Gutman, M., et al: ‘Inference of animal activity from GPS collar data on free-ranging cattle’, Rangeland Ecol. Manage., 2005, 58, pp. 256–266.
    82. 82)
      • 91. Kwong, K.H., Wu, T.T., Goh, H.G., et al: ‘Practical considerations for wireless sensor networks in cattle monitoring applications’, Comput. Electron. Agric., 2012, 81, pp. 33–44.
    83. 83)
      • 10. Joshi, S., Gokhale, S.: ‘Status of mastitis as an emerging disease in improved and periurban dairy farms in India’, Ann. New York Acad. Sci., 2006, 1081, (1), pp. 74–83.
    84. 84)
      • 93. Zonouz, A.E., Xing, L., Vokkarane, V.M., et al: ‘Hybrid wireless sensor networks: a reliability, cost and energy-aware approach’, IET Wirel. Sens. Syst., 2016, 6, (2), pp. 42–48.
    85. 85)
      • 85. Shinde, T.A., Prasad, J.R.: ‘IoT based animal health monitoring with naive Bayes classification’. Sixth Post Graduate Conf. Computer Engineering (cPGCON 2017) Proc. Int. Journal on Emerging Trends in Technology (IJETT), vol. 4..
    86. 86)
      • 22. García-Hernández, C.F., Ibarguengoytia-Gonzalez, P.H., García-Hernández, J., et al: ‘Wireless sensor networks and applications: a survey’, Int. J. Comput. Sci. Netw. Secur., 2007, 7, (3), pp. 264–273.
    87. 87)
      • 61. West, J.W.: ‘Effects of heat-stress on production in dairy cattle’, J. Dairy Sci., 2003, 86, (6), pp. 2131–2144.
    88. 88)
      • 63. Li, Z., Shen, H., Alsaify, B.: ‘Integrating RFID with wireless sensor networks for inhabitant, environment and health monitoring’. 14th IEEE Int. Conf. Parallel and Distributed Systems, 2008. ICPADS'08, Melbourne, VIC, Australia, 8 December 2008, pp. 639–646.
    89. 89)
      • 19. Kimura, K., Reinhardt, T.A., Goff, J.P.: ‘Parturition and hypocalcemia blunts calcium signals in immune cells of dairy cattle’, J. Dairy Sci., 2006, 89, (7), pp. 2588–2595.
    90. 90)
      • 76. Janzekovic, M., Stajnko, D., Brus, M., et al: ‘Polar sport tester for cattle heart rate measurements’ (INTECH Open Access Publisher, 2010).
    91. 91)
      • 1. Chawla, A., Chawla, N., Pant, Y.: ‘Milk and dairy products in India – production, consumption and exports’ (Hindustan Studies & Services Ltd., Mumbai, India, 2009), pp. 18–35.
    92. 92)
      • 12. Charlier, J., Höglund, J., von Samson-Himmelstjerna, G., et al: ‘Gastrointestinal nematode infections in adult dairy cattle: impact on production, diagnosis and control’, Vet. Parasitol., 2009, 164, (1), pp. 70–79.
    93. 93)
      • 77. Hopster, H.R., Bruckmaier, R.M., Van der Werf, J.T., et al: ‘Stress responses during milking; comparing conventional and automatic milking in primiparous dairy cows’, J. Dairy Sci., 2002, 85, (12), pp. 3206–3216.
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