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GE-Twitter: Kostnadseffektiv processtyrning via Twitter
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2017 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
GE-Twitter : Kostnadseffektiv processtyrning via Twitter (Swedish)
Abstract [en]

The project enables process control of healthcare equipment through the social network service Twitter. Machine operators should be able to control machines through their computer, tablet or mobile device, without physically having to be in contact with the machine. The project solution has been designed by programming against Twitter's application programming interface, that is, utilizing the functionality that Twitter offers. The reason is to use functionality that already exists and circumvent the maintenance of an application. The project has consolidated Twitter functionality with GE Healthcare's internal software system into a unique solution that enables remote control.

Abstract [sv]

Projektet möjliggör processtyrning av maskiner inom hälso- och sjukvården via den sociala nätverkstjänsten Twitter. Maskinoperatörer ska kunna styra maskiner via deras dator, surfplatta eller mobila enhet, utan att närvara vid maskinen. Projektets lösning har konstruerats genom att programmera mot Twitters applikationsprogrammeringsgränssnitt, det vill säga ta del av funktionalitet som Twitter erbjuder. Anledningen är att använda funktionalitet som redan existerar samt kringgå underhållandet av en applikation. Projektet har sammansvetsat Twitter-funktionalitet med GE Healthcares interna mjukvarusystem till en unik lösning som möjliggör processtyrning på distans.

Place, publisher, year, edition, pages
2017. , 27 p.
Series
Independent Project in Computer and Information Engineering, 2017-003
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-323901OAI: oai:DiVA.org:uu-323901DiVA: diva2:1107792
External cooperation
GE Healthcare
Educational program
Master of Science Programme in Information Technology Engineering
Supervisors
Examiners
Available from: 2017-06-12 Created: 2017-06-10 Last updated: 2017-06-12Bibliographically approved

Open Access in DiVA

fulltext(5081 kB)22 downloads
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Ghandahari, DanielVatandoust, ArmanWindahl, Johan
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