Mafqudat: Arabic Smartphone Application for Reporting Lost and Found Items

Alnaghaimshi, N. I.; Alenizy, R. A.; Alfayez, G. S.; Almutairi, Abdulkarim Alhomaidi

doi:10.1109/iccais48893.2020.9096791

Cited by 2 publications

(2 citation statements)

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“…It is particularly inefficient as any unconnected device cannot be searched using the developed system. Alnaghaimshi et al (2020) made a smartphone application that solves the missing item problem in Arabic. By relying on the contribution of people in online social networks, the idea of this project was to help people in finding the missing objects by creating an Arabic online social community (Alnaghaimshi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Alnaghaimshi et al (2020) made a smartphone application that solves the missing item problem in Arabic. By relying on the contribution of people in online social networks, the idea of this project was to help people in finding the missing objects by creating an Arabic online social community (Alnaghaimshi et al, 2020). A prototype web-based application for effective online reporting and searching of lost and found items in a crowd gathering was implemented for visitors to Hajj in Makkah and Madinah (Nadeem et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a Web-based System for Matching Losers and Finders of Personal Items

Oyedeji,

Folorunsho,

Abolade

et al. 2021

MJST

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A considerable amount of time is wasted in the process of searching for a missing item and consequently, human schedules are disrupted. This study aimed to design and implement a web-based system for matching losers and finders of personal items using the waterfall model. The modelling language employed in this work was Unified Modeling Language (UML). The server-side was built using the Node.js JavaScript framework to provide backend logic to process information from the client-side and MongoDB database. The client-side was made using Hypertext Markup Language (HTML), cascading style sheet (CSS) and JavaScript. The system was evaluated using alpha and beta testing by module testing and getting feedback from users based on some predefined criteria. The developed system was able to match lost items with efficiency and functionality of 80% and 77%, respectively.

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Section: Introductionmentioning

confidence: 99%