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dc.contributor.advisorAllen, William H.
dc.contributor.authorAlhafidh, Basman M. Hasan
dc.date.accessioned2018-10-19T18:00:17Z
dc.date.available2018-10-19T18:00:17Z
dc.date.created2018-07
dc.date.issued2018-07
dc.date.submittedJuly 2018
dc.identifier.urihttp://hdl.handle.net/11141/2618
dc.descriptionThesis (Ph.D.) - Florida Institute of Technology, 2018en_US
dc.description.abstractHome automation and control systems as basic elements of smart cities have played a key role in the development of our homes environments . They have a wide range of applications in many fields at home such as security and monitoring, healthcare, energy, and entertainment applications. The improvement of humans’ living standards make people keep trying to delegate many of their needs to a home automation system. Such a system has been built with capabilities of predicting what the user intends to do in smart home environment. However, there are many issues that need more investigation and solutions, such as: 1) many researches adopt a specific application without integrating different verities of applications in one environment, 2) there is no study tries to show the real effect or even evaluates the implementation of predicted actions that have been established via homes intelligent gateway, 3) there is an interoperability issue due to using different kinds of home applications that have different protocols for message context. In this proposal, we will describe a new approach of an intelligent self-adaptive system that can precisely monitor a stakeholder behaviors and analyze his/her actions trying to anticipate a stakeholder behavior in the future. In addition, we will evaluate the real effect of a predicted actions after implementing them by an intelligent gate-way in a simulated home environment. The principle behind a prediction process is presented by analyzing a sequence of users interaction events with heterogeneous, and distributed nodes in the environment using an intelligent gateway. Predicting next stakeholder action can be process using certain analytical algorithms. The main novelties in the proposed approach are threefold: I) Presents a novel visualization model for a home area network (HAN) based Cyper-Physical System’s design pattern, that may helps academic researcher, enterprise companies, and developer to facilitate the most important services of such smart environment for a better quality of services. II) Developing a learning technique which is embedded in an intelligent gateway to build a model of users behavior and interactions to balance the needs of multiple users within a smart home environment. III) The proposed system shows a high level concept of how we can design an intelligent selfadaptive system in home environment that has the capability to provide stakeholder with local services, and to support a use of IoT paradigm concurrently.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCC BY 4.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleDesign and Simulation of an Intelligent Self-Adaptive System for a Smart Homeen_US
dc.typeDissertationen_US
dc.date.updated2018-06-08T15:31:56Z
thesis.degree.nameDoctorate of Philosophy in Computer Engineeringen_US
thesis.degree.levelDoctoralen_US
thesis.degree.disciplineComputer Engineeringen_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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