Please use this identifier to cite or link to this item: https://scholar.ptuk.edu.ps/handle/123456789/289
cc-by
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDaraghmi, Eman-
dc.contributor.authorYuan, Shyan-Ming-
dc.date.accessioned2019-04-20T14:25:47Z-
dc.date.available2019-04-20T14:25:47Z-
dc.date.issued2013-
dc.identifier.citation1. Eman Yasser Daraghmi, Shyan Ming Yuan, "In-Domain Neighborhood Approach to Heterogeneous Dynamic Load Balancing in Real World Network", Parallel and Distributed Computing Applications and Technologies (PDCAT) 2013 International Conference on, pp. 63-70, 2013.en_US
dc.identifier.urihttps://scholar.ptuk.edu.ps/handle/123456789/289-
dc.description.abstractPersonalized mobile applications involve deploying the existing technologies to accommodate the differences between individuals. The existing applications have undertaken with the price and the location factors in mind. They show the same results regardless the personal special needs of consumers. The realization of the next generation of personalized systems will be a challenging task. For our research purpose, the personal special needs are defined as: (Religions, Cultures, Allergies, Health Condition, Diet, Preferences and Dislikes) needs that affect many aspects of a consumer life. In general there is no shortage of the restaurant apps available in the App Store, However, many of these apps are based on regular factors such as price and location. They are not a great choice for consumers with personal special needs. This paper proposes a novel “Personalized Mobile Restaurant” PMR system. To meet the strict needs of consumers; a requirement driven design approach was followed. The proposed system was tested successfully and promising results were obtained.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectServersen_US
dc.subjectInformation technologyen_US
dc.subjectMobile communicationen_US
dc.subjectDatabasesen_US
dc.subjectComputer architectureen_US
dc.subjectDiseasesen_US
dc.titlePmr: Personalized mobile restaurant systemen_US
dc.typeArticleen_US
Appears in Collections:Applied science faculty

Files in This Item:
File Description SizeFormat 
pmr.png1.17 MBimage/pngThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.