Low Power Context Aware Hierarchical System Design

dc.contributor.advisorBanerjee, Nilanjan
dc.contributor.advisorRobucci, Ryan
dc.contributor.authorBobovych, Stanislav
dc.contributor.departmentComputer Science and Electrical Engineering
dc.contributor.programComputer Science
dc.date.accessioned2021-09-01T13:54:42Z
dc.date.available2021-09-01T13:54:42Z
dc.date.issued2020-01-20
dc.description.abstractEmbedded systems have come to play central roles in our lives. Smart, wearable ultra low power systems have become prevalent thanks to advances in sensing, communication, computation, and miniaturization. Though the individual subsystems have improved, designing these systems is a challenge since their compute, communication, and sensing components are tightly coupled. System engineers creating these devices must consider the whole hardware/software stack and the application at hand in order to stay within the limited energy budget of these systems. There has been a lot of research focused on each particular facet of low power systems, yet few have tried to approach the problem from the system and application integration level. The objective of the proposed research is to explore various hierarchical architectures through the development and deployment of systems for geospatial and medical applications.
dc.formatapplication:pdf
dc.genredissertations
dc.identifierdoi:10.13016/m2ftb2-fkxe
dc.identifier.other12158
dc.identifier.urihttp://hdl.handle.net/11603/22741
dc.languageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Theses and Dissertations Collection
dc.relation.ispartofUMBC Graduate School Collection
dc.relation.ispartofUMBC Student Collection
dc.sourceOriginal File Name: Bobovych_umbc_0434D_12158.pdf
dc.subjectembedded
dc.subjecthierarchical
dc.subjectlow power
dc.subjectsystem design
dc.titleLow Power Context Aware Hierarchical System Design
dc.typeText
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