Abstract
This work shows an approach of the current rescue procedure. It examines the case of rescue by aeronautical means in Hellenic Republic territory. The proposed reengineering of the procedure tries to propose solutions or optimization to current problems on issues like adequacy of resources, money expenditures, and time limitations on rescue situations. The significance of solving or optimize such issues is profound regarding the human life part. In addition to that the proposal of this work has a trifold target, the first part is the economical, the second is the public resource management, and the third is the application of technological solutions in such cases. The core innovation of this research is on both three targets and the collaboration of them. The modeling of rescue procedure, reengineering, and adoption of technology can change the whole rescue procedure and reducing time and cost. There is a profound money and resource spending in aerial transfers in Hellenic Republic rescue procedures. Up to now previous works are based only to traditional reengineering with tradition writing and an electronic way of observing one rescue situation. A combination of methods is provided for verification and includes proposed methods and models through the presentation of the business procedure of aerial search and rescue by means of a combination of Information Computer Tools, Bizagi Process Modeller, and Ms. Project and use of already available technological solutions. The already existing situation is presented, followed by a suggestion of reorganizing its procedure and the corresponding technologies that can be used. This work also provides the methodology and tools to support the operations in discuss as well as any documentation, registration, and report of the descripted procedures.
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References
Arnott D, Pervan G (2005) A critical analysis of decision support systems research. J Inf Technol 20(2):67–87. https://doi.org/10.1057/palgrave.jit.2000035
Bateman M, Bhatti S (2011) Simple, weakly-coupled, invisible middleware (SWIM). In: Proceedings – international conference on advanced information networking and applications, AINA, pp 232–239). https://doi.org/10.1109/AINA.2011.108
Bishop CM (2006) Pattern recognition and machine learning Springer mathematical notation Ni. Retrieved from https://cds.cern.ch/record/998831
Blandford A, William Wong B (2004) Situation awareness in Emergency medical dispatch. Int J Human-Comput Stud 61. Retrieved from https://www.sciencedirect.com/science/article/pii/S1071581904000102
BPMN (2014) BPMN 2014. Retrieved from http://www.bpmn.org/
Burgess J, Vis F, Bruns A How many fake Sandy pictures were really shared on social media?. The Guardian Data Blog, 6 November 2012
Burstein FW, Holsapple C, Power DJ (2008) Decision support systems: a historical overview. In: Handbook on decision support systems 1. Springer, Berlin/Heidelberg, pp 121–140. https://doi.org/10.1007/978-3-540-48713-5_7
Camarillo G, Garcia-Martin M (2007) The 3G IP multimedia subsystem (IMS): merging the Internet and the cellular worlds. Retrieved from https://books.google.com/books?hl=el&lr=&id=oQka5iiCeqYC&oi=fnd&pg=PR7&dq=Gonzalo+Camarillo,+Miguel+Angel+García-Martín,+“The+3G+IP+Multimedia+Subsystem+(IMS):+Merging+the+Internet+and+the+Cellular+Worlds”,+2008+John+Wiley+%26+Sons,+ISBN+978-0-470-51662-1&ots=MBoLYKiPEq&sig=iZdt_mfDyUzvAqesfKUHAPFLN4Y
Case T, Morrison C, Vuylsteke A (2012) The clinical application of mobile technology to disaster medicine. Prehosp Disaster Med. https://doi.org/10.1017/S1049023X12001173
Cerrito P, Cerrito JC (2011) Data and text mining the electronic medical record to improve care and to lower costs. Data Mining and Predictive Modeling, 1–20. Retrieved from https://pdfs.semanticscholar.org/a4e0/0a006becd0df35163c1d8a4b612dcc7cea07.pdf
Chapman S, Ciravegna F (2006) Focused Data Mining for decision support in Emergency Response Scenarios Linked Open Data for Information Extraction (LODIE) view project Focused Data Mining for decision support in Emergency Response Scenarios. Retrieved from https://www.researchgate.net/publication/228545466
Cho G (2013) Unmanned aerial vehicles: emerging policy and regulatory issues. J Law Inform Sci 22(2):35
Clements M, De Vries AP, Reinders MJT (2008) Detecting synonyms in social tagging systems to improve content retrieval. In: ACM SIGIR 2008 - 31st annual international ACM SIGIR conference on research and development in information retrieval, proceedings, pp 739–740. https://doi.org/10.1145/1390334.1390479
Constantinou AS (2008) Application process modeling methodology BPMN. National Technical University of Athens, School of Mechanical Engineering, Sector of Industrial Management and Operations Research
Diniz VB, Borges MRS, Gomes JO, Canós JH (2005) Knowledge management support for collaborative emergency response. In Proceedings of the 9th International Conference on Computer Supported Cooperative Work in Design (Vol. 2, pp. 1188–1193). IEEE
Directorate-General for Migration and Home Affairs, & Directorate-General for Communication (2019) Special Eurobarometer 480 - Europeans’ attitudes towards internet security
E-gif G (2012) Greek framework service for e-government interoperability and standards
Edesix (2020) Edesix. Retrieved from http://www.edesix.com
Emergency U (2014) The emergency services. Retrieved from http://www.emergencyuk.com/page.cfm/Link=1/t=m/goSection=1
Emertech (2020a) Google glass
EMERTECH (2020b) EMERTECH platform. Retrieved from http://www.emertech.org/
“ESA, Copernicus, Overview”. ESA (2014) Retrieved 5 Jan 2021
ETSI (1999) 300 392-4-1
ETSI (2000) ETS 300 392-10-24 second edition
ETSI (2006) EN 300 392–10-16 V1.3.1
ETSI (2010a) EN 300 392-2 V3.4.1
ETSI (2010b) EN 300 392-5 V2.2.0
ETSI (2014) TETRA and critical communications evolution (TCCE); Critical Communications Architecture; Part 1
European Commission (2007) Study analysing the current activities in the field of UAV. Technical report. ENTR/2007/065, second element: way forward
European Commission (2012a) Council decision 91/396/EEC, directive 2002/22/EC. PSC Europe, “112 – a single European Emergency number”. European Commission, DG INFSO/B2, COCOM 12–01 final, “working document subject: implementation of the European emergency number 112 – results of the
European Commission (2012b) DG INFSO/B2, COCOM 12–01 final implementation of the European emergency number 112 – results of the fifth data-gathering round
European Commission (2012c) Europe, Council Decision 91/396/EEC, Directive 2002/22/EC. PSC Europe, “112 - a single European Emergency number”
Excelerate (2020) Excelerate technology. Retrieved from http://www.excelerate-group.com
Fraunhofer (2014) Seneka. Retrieved from http://www.iosb.fraunhofer.de/servlet/is/43497/
General Secretariat for Civil Protection (GSCP) (2014) Central web page. Retrieved from http://www.civilprotection.gr/el
Gogarty B, Robinson I (2012) Unmanned vehicles: a (rebooted) history, background and current state of the art. J Law Inform Sci 21(2):1–34. Retrieved from https://heinonline.org/HOL/Page?handle=hein.journals/jlinfos21&id=217&div=17&collection=journals
Hammer M, Champy J (2003) Reengineering the corporation: a manifesto for business revolution
Imran M, Castillo C, Lucas J, Meier P, Vieweg S (2014) AIDR: Artificial intelligence for disaster response. In: WWW 2014 companion - proceedings of the 23rd international conference on world wide web. Association for Computing Machinery, Inc, pp 159–162. https://doi.org/10.1145/2567948.2577034
IQuartic (2020) iQuartic. Retrieved from http://www.iquartic.com/
Janowicz K, Blomqvist E (2012) The use of Semantic Web technologies for decision support-a survey. http://content.iospress.com. IOS Press. Retrieved from https://content.iospress.com/articles/semantic-web/sw084
Khalil KM, Abdel-Aziz M, Nazmy TT, Salem ABM (2008) The role of artificial intelligence technologies in crisis response. In: MENDEL 2008 - 14th international conference on soft computing: evolutionary computation, genetic programming, fuzzy logic, rough sets, neural networks, fractals, Bayesian methods, pp 293–298. Retrieved from https://arxiv.org/abs/0806.1280
Kindsmüller MC, Mentler T, Herczeg M, Rumland T (2011) Care & prepare - usability engineering for mass casualty incidents. In: CEUR workshop proceedings, vol 727, pp 30–35. Retrieved from http://www.academia.edu/download/30811544/EICS4Med-2011-proceedings-report.pdf#page=35
Lucene (2020) Lucene. Retrieved from http://lucene.apache.org/
Madey GR, Szabo G, Barabási AL (2006) WIPER: the integrated wireless phone based emergency response system. In Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol 3993 LNCS-III. Springer Verlag, pp 417–424. https://doi.org/10.1007/11758532_56
Maglogiannis I, Hadjiefthymiades S (2007) EmerLoc: location-based services for emergency medical incidents. Int J Med Inform 76(10):747–759. https://doi.org/10.1016/j.ijmedinf.2006.07.010
Massaguer D, Balasubramanian V, Mehrotra S, Venkatasubramanian N (2006) Multi-agent simulation of disaster response. In: ATDM workshop in AAMAS. https://doi.org/10.1.1.122.3396
Motorola (2012) Answering the new call for help. Retrieved from http://www.tandcca.com/
Nielsen company (2016) Social media report. Retrieved from https://www.nielsen.com/us/en/insights/report/2017/2016-nielsen-social-media-report/
Niton (2020) Niton equipment. Retrieved from http://www.niton999.co.uk
Novak JM, Vidoloff KG (2011) New frames on crisis: citizen journalism changing the dynamics of crisis communication. Int J Mass Emerg Disasters 29(3):181–202. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=02807270&AN=82915019&h=pb2acIdc%2BmDkrfIZyp7AmsRUQW6nlEcnYW230sTCqwLX8WbKfWeHHUJQmenrcKve8ICdcdgnX967JimNzBzspA%3D%3D&crl=c
Nutch (2020) Nutch. Retrieved from http://nutch.apache.org/
Pine JC (2006) Technology in emergency management
Pinnacle Response (2020) Pinnacle response. Retrieved from http://www.pinnacleresponse.com
Rao R, Eisenberg J, Schmitt T (2007) Technology to enhance disaster management improving disaster management: the role of IT in mitigation, preparedness, response, and recovery
Reveal Media (2020) Reveal media. Retrieved from http://revealmedia.com
Russell SJ, Norvig P (2010) Artificial intelligence (a modern approach)
Salo S, Salo H, Liisanantti A, Reponen J (2007) Data transmission in dental identification of mass disaster victims. J Forensic Odonto-Stomatol 25(1):17–22
SAS (2020) Big data. Retrieved from http://www.sas.com/en_us/insights/big-data/what-is-big-data.html
Sorl (2020) Sorl. Retrieved from http://lucene.apache.org/solr/
Symeonides AL (2013) Data Mining Applied – Successful practices for Intelligent Systems. NARNIA Training Course, Nicosia, Cyprus
Taylor M, Wells G, Howell G, Raphael B (2012) The role of social media as psychological first aid as a support to community resilience building. A Facebook study from “cyclone Yasi update.”. Aust J Emerg Manag 27(1):20–26. Retrieved from https://search.informit.com.au/documentSummary;dn=046721101149317;res=IELAPA
Technologies I (2020) Intelligent Technologies. Retrieved from http://www.iactiveit.com/
Tetra (2020a) Tetra. Retrieved from http://www.tetra.com
Tetra (2020b) Tetra MOU. Retrieved from http://www.tetramou.com
Urban Aeronautics. 2014) AirMule. Retrieved from http://www.businessinsider.com/israel-testing-flying-ambulance-drones-2014-1#ixzz3FBcYOHrM
Urban Aeronautics (2020) Urban aeronautics central web page. Retrieved from http://www.urbanaero.com
Ushahidi (2020) Web application Ushahidi. Retrieved from http://ushahidi.com
Walderhaug S, Meland PH, Mikalsen M, Sagen T, Brevik JI (2008) Evacuation support system for improved medical documentation and information flow in the field. Int J Med Inform 77(2):137–151. https://doi.org/10.1016/j.ijmedinf.2007.01.006
White AS (2020) A short introduction to BPMN. Retrieved from http://www.bizagi.com/en/products/bizagi-process-modeler
Wikipedia (2020) Optical head-mounted displays. Retrieved from http://en.wikipedia.org/wiki/Optical_head-mounted_display
Zagorecki AT, Johnson DEA, Ristvej J (2013) Data mining and machine learning in the context of disaster and crisis management. Int J Emerg Manag 9(4):351–365. https://doi.org/10.1504/IJEM.2013.059879
Zheng L, Shen C, Tang L, Zeng C, Li T, Luis S, Chen SC (2013) Data mining meets the needs of disaster information management. IEEE Trans Human-Mach Syst 43(5):451–464. https://doi.org/10.1109/THMS.2013.2281762
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Zoulias, E., Platis, C., Intas, G. (2021). Health Informatics Application on Medical Rescue Incidents. In: Vlamos, P., Kotsireas, I.S., Tarnanas, I. (eds) Handbook of Computational Neurodegeneration. Springer, Cham. https://doi.org/10.1007/978-3-319-75479-6_60-1
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