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A location-based mobile health care facility search system for senior citizens

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Abstract

Recently, an elderly population who needs health care or nursing service has been growing rapidly in the Republic of Korea due to a sharp increase in the number of senior citizens. But it is not easy for them to find an accessible and adequate proper health care center that can attend to their needs. For instance, an elder with a cardiovascular disorder should be close to a medical clinic that can attend to his/her illness. This also applies to other diseases as the mobility of seniors is limited. Thus, the program proposed facility in this study allows senior citizens to locate an appropriate medical facility by using smartphone’s GPS-based location information together with a mobile push system. Also, this O2O program monitors the user with the Bluetooth beacons. The development program autonomously estimates the current coordinates of user with a GPS function or a network information system to locate the nearest medical centers or clinics from the database where the information regarding the location of medical facilities and user, along with their specialties, has been stored in advance. The equation of straight line and the user coordinates are used to find suitable prospect medical facilities. The program also offers a user monitoring service (senior citizen) so that it will be able to provide a variety of high-quality services by establishing a technical alliance with medical centers.

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References

  1. Kim T-J, Han S-H, Weon S, Huh J-H (2017) A design of user-based voluntary service recommendation program using mobile push services for health care. In: KIPS Spring Conference, vol 24, no. 1, pp 721–724

  2. Zhu T, Zhang Y, Wang F, Lv W (2010) A location-based push service architecture with clustering method. In: Networked Computing and Advanced Information Management (NCM), 2010 Sixth International Conference on IEEE, pp 107–112

  3. Tosi D (2003) An advanced architecture for push services. In: Proceedings of 4th International Conference. Web Information Systems Engineering Workshops (WISE ‘03), pp 193–200

  4. Bhide M, Deolasee P, Katkar A (2002) Adaptive push–pull: disseminating dynamic web data. IEEE Trans Comput 51:652–668

    Article  Google Scholar 

  5. Bessis N, Asimakopoulou E, Conrad M (2009) A mathematical analysis of a data-grid push service for disaster management response scenarios. In: Proceedings of International Conference of Computing, Engineering and Information, pp 8–11

  6. Podnar I, Hauswirth M, Jazayeri M (2002) Mobile push: delivering content to mobile users. In: Proceedings of the 22nd International Conference on Distributed Computing Systems Workshops (ICDCSW’02), pp 563–568

  7. Sutton P, Arkins R, Segall B (2001) Supporting disconnectedness-transparent information delivery for mobile and invisible computing. In: First IEEE/ACM International Symposium on Cluster Computing and the Grid, IEEE, pp 277–285

  8. Huh J-H, Seo K (2016) Design and test bed experiments of server operation system using virtualization technology. Hum Cent Comput Inf Sci 6(1):1–21

    Article  Google Scholar 

  9. Álvarez-Bermejo J-A, Belmonte-Ureña L-J, Estrella-Ramón A (2016) An innovative technology proposal for the improving in the communication, social reputation and service quality: a case applied to the hospitality sector. El profesional de la información, vol 25, No. 6, pp 960–969

  10. Álvarez JA, Lodroman MA, López-Ramos JA (2015) A blind signature-based protocol for tracing traitors. Int J Comput Math 92(9):1764–1774

    Article  MathSciNet  MATH  Google Scholar 

  11. Choi J-H, Huh J-H, Weon S (2017) A design of scheduling program for diabetic patients: a software engineering approach. In: LNEE, MUE 2017, Springer, pp 1–6

  12. Huang Y, Garcia-Molina H (2001) Publish/subscribe in a mobile environment. In: Proceedings of 2nd ACM International Workshop on Data Engineering for Wireless and Mobile Access (MobiDE’01), (Santa Barbara, Calif.), pp 27–34

  13. Bacon J et al (2000) Generic support for distributed applications. IEEE Comput 33(3):68–76

    Article  Google Scholar 

  14. Cugola G, Di Nitto E, Fuggetta A (2001) The JEDI event-based infrastructure and its application to the development of the OPSS WFMS. IEEE Trans Softw Eng 27(9):827–850

    Article  Google Scholar 

  15. Cugola G, Di Nitto E (2001) Using a publish/subscribe middleware to support mobile computing. In: Advanced Topic Workshop on Middleware for Mobile Computing, (Heidelberg, Germany)

  16. 3GPP website (2001) The Third Generation Partnership Project. http://www.3gpp.org/. Accessed 22 Feb 2018

  17. Huh J-H (2017) PLC-based design of monitoring system for ICT-integrated vertical fish farm. Hum Cent Comput Inf Sci 7(1):1–19

    Article  MathSciNet  Google Scholar 

  18. Park J-S, Jeong S-J, Lee Y-H, Kim K-S (2007) Implementation of rule based insurance product recommend and design system using fuzzy inference. J Soc e-Bus Stud 12(1):99–122

    Google Scholar 

  19. Resnick P, Iacovou N, Suchak M, Bergstrom P, Riedl J (1994) GroupLens: an open architecture for collaborative filtering of netnews. In: Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work, Chapel Hill, NC, pp 175–186

  20. Lee O-J (2014) Hybrid Preference prediction technique using weighting based data reliability for collaborative filtering recommendation system. J Korea Soc Comput Inf 19(5):61–69

    Article  Google Scholar 

  21. Kim J-H, Park D-S (2006) Development of the goods recommendation system using association rules and collaborating filtering. J Korean Assoc Comput Educ 9:71–80

    Google Scholar 

  22. Woo I (2014) Shopping recommendation system using collaborative filtering. Inha University, ‎Incheon

    Google Scholar 

  23. Kim M, Cho Y (2015) A multimodal profile ensemble approach to development of recommender systems using big data. J Intell Inf Syst 21(4):93–110 (In Korean)

    Google Scholar 

  24. Lee KS, Yoon JW (2016) Rapid hybrid recommender system with web log for outbound leisure products. KIISE Trans Comput Pract 22(12):646–653 (In Korean)

    Article  Google Scholar 

  25. Huh J-H, Otgonchimeg S, Seo K (2016) Advanced metering infrastructure design and test bed experiment using intelligent agents: focusing on the PLC network base technology for Smart Grid system. J Supercomput 72(5):1862–1877

    Article  Google Scholar 

  26. Huh J-H (2017) Smart grid test bed using OPNET and power line communication. In: Advances in computer and electrical engineering. IGI Global, Philadelphia, PA, USA, pp 1–425

    Google Scholar 

  27. Belmonte-Carmona A, Roca-Piera J, Hernández-Capel C, Álvarez-Bermejo JA (2011) Adaptive load balancing between static and dynamic layers in J2EE applications. In: 2011 7th International Conference on Next Generation Web Services Practices, Salamanca, pp 61–66

  28. Huh J-H, Kim N, Seo K (2016) Design and implementation of mobile medication-hour notification system with push service function. Int J Appl Eng Res 11(2):1225–1231

    Google Scholar 

  29. Park J et al (2015) Design of the real-time mobile push system for implementation of the shipboard smart working. In: Advances in computer science and ubiquitous computing, LNEE (CUTE 2015), Springer, vol 373, pp 541–548

  30. Sung Yu, Kwak J, Park JH (2015) Graph-based motor primitive generation framework. Hum Cent Comput Inf Sci 5(35):1–9

    Google Scholar 

  31. Lee S-G, Cha E-Y, Sung Y (2015) Impulse noise filter for beacon-AP signal processing in real time. J Converg 6(4):1–7

    Google Scholar 

  32. http://www.tmogroup.asia/o2o-omni-channel-retailing/. Accessed 22 Feb 2018

  33. Moon SY, Park J-H (2016) Efficient hardware-based code convertor of a quantum computer. J Converg 7:1–9

    Google Scholar 

  34. Wu S-J, Chiang R-D, Wu T-F (2018) Direct mail promotion mechanisms and their application in supermarkets. J Supercomput 24:1–18

    Google Scholar 

  35. Kim, T-J et al (2017) An elderly nursing care facility search systembased on user’s location and disease. In: Proceeding of MUE 2017, p 1

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Acknowledgements

The 4D Health Care Project Group of Catholic University of Pusan aims to cultivate the creative talent who have capabilities in developing 4D contents required for rehabilitation and health care of modern people. Both Department of Physical Therapy and Department of Software of this university are participating and operating the group jointly to perform the task. The 4D Health Care refers to an advanced health care technology which is used for the operation in a 4D-based mixed reality where human senses, cognition, and experiences (1D) have been converged with both real and virtual information (3D), and the project group runs various curricular and extracurricular programs to train every participating student to acquire a 4D technology-based health care contents development skills. This has been written with the support of the 4D Health Care Project Group, and the author wishes to express his gratitude to the Ministry of Education, National Research Foundation of Korea, as well as the CK Project Group. Also, my gratitude extends to Catholic University of Pusan and the Lord who has provided me with his wisdom and grace. The first draft part of this paper was presented at The 11th International Conference on Multimedia and Ubiquitous Engineering (MUE 2017) [35], May 22–24, 2017, Republic of Korea.

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Correspondence to Jun-Ho Huh.

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Huh, JH., Kim, TJ. A location-based mobile health care facility search system for senior citizens. J Supercomput 75, 1831–1848 (2019). https://doi.org/10.1007/s11227-018-2342-5

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