Big Data Based Architecture of the ADL Recognition System

dc.contributor.author Liao, Yongan
dc.contributor.department Computer Science
dc.contributor.majorProfessor Carl Chang
dc.date 2019-12-09T22:39:49.000
dc.date.accessioned 2020-06-30T01:36:13Z
dc.date.available 2020-06-30T01:36:13Z
dc.date.copyright Mon Jan 01 00:00:00 UTC 2018
dc.date.issued 2018-01-01
dc.description.abstract <p>In the age of the Internet of Things (IoT), every motion in our daily life can be captured and modulated to a digital data with smart portable devices. These data are very valuable in the presentation of someone’s living status, and in analyzing its health condition. Based on that, suggestions by professionals can be given directionally to improve the living quality. An arising issue is that, in this way the amount of data in the filter is big and the velocity of data flow is high. The original structure is strainful in handling such a large amount of data or such detailed data. An urgent requirement is to build a structure to support big data in the aspect of grabbing, filtering, analysis, and presentation.</p> <p>The ADL Recognition System collects information from elderly people, analyzes their behaviors, and presents them in a visualized way to specific users. It aims to provide a better nursing service for elderly people and a convenience in assessing health condition or nursing level for nurses and doctors.</p> <p>My work is to design and implement a big data based architecture of the ADL Recognition System so that it can accept more users and data flowing in. Besides, the architecture will be expandable in computation and storage and adaptive to the scale of the real application environment. The necessity and methodology of importing big data based architecture will be justified in each process of data filtering from the aspects of technologies.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/creativecomponents/79/
dc.identifier.articleid 1053
dc.identifier.contextkey 13168872
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath creativecomponents/79
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/17170
dc.source.bitstream archive/lib.dr.iastate.edu/creativecomponents/79/Big_Data_Based_Architecture_of_the_ADL_Recognition_System.pdf|||Sat Jan 15 01:55:55 UTC 2022
dc.subject.disciplines Computer and Systems Architecture
dc.subject.keywords Big Data
dc.subject.keywords Activity of Daily Living
dc.subject.keywords ADL Recognition System
dc.subject.keywords Spark
dc.subject.keywords Kafka
dc.subject.keywords Hadoop Ecosystem
dc.title Big Data Based Architecture of the ADL Recognition System
dc.type article
dc.type.genre creativecomponent
dspace.entity.type Publication
relation.isOrgUnitOfPublication f7be4eb9-d1d0-4081-859b-b15cee251456
thesis.degree.discipline Computer Science
thesis.degree.level creativecomponent
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