Composition of Services for Notification in Smart Homes

Álamo, José M. Reyes; Sarkar, Tanmoy; Wong, Johnny

doi:10.1109/isuc.2008.65

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…Timeliness determines whether the medications are taken at the correct time, and completeness defines whether the correct dosage is taken. Formal definitions of the timeliness and completeness are presented later with the system model, which is followed with a description of how the context information (Gu, Pung, & Zhang, 2004) and the notification services (Reyes Álamo, Sarkar, & Wong, 2008) in a smart home can be used to assist with prescription compliance.…”

Section: The Smart Home Subsystem (Ss)mentioning

confidence: 99%

Support for Medication Safety and Compliance in Smart Home Environments

Álamo

Yang

Babbitt

et al. 2009

International Journal of Advanced Pervasive and Ubiquitous Computing

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The rapid pace of new medications introduced to the market and the trend of modern healthcare towards specialization complicates doctors’ prescribing process and patients’ management of medications, resulting in an increase in the likelihood of unsafe prescriptions. The severity of this problem is magnified when patients require multiple medications or have cognitive impairments. The Medicine Information Support System (MISS) is designed to integrate related information systems from doctor offices, pharmacies and patients’ smart homes with a universal database of medication conflicts to enable safety checks for adverse reactions among prescribed medications. MISS enhances the quality of patients’ healthcare by monitoring and promoting the compliance of patients’ medication intake. It also ensures patients’ medical records remain private by following the privacy guidelines and regulations such as the Health Information Portability and Accountability Act (HIPAA) law in the United States.

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Section: The Smart Home Subsystem (Ss)mentioning

confidence: 99%

Support for Medication Safety and Compliance in Smart Home Environments

Álamo

Yang

Babbitt

et al. 2009

International Journal of Advanced Pervasive and Ubiquitous Computing

Self Cite

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“…To model and compose home services, this paper uses the service-oriented [11] approach that utilizes software service to build the required functionalities, e.g., Open Services Gateway initiative framework (OSGI) bundles [12], Web Services [13], service composition [14], DPWS, and SODA. Rather than building static applications, service-oriented approach composes applications by discovering and invoking services based on published services.…”

Section: Introductionmentioning

confidence: 99%

“…This approach simplifies the smart home function development dramatically because no coding in Perl or C or Java will be needed and also allow new services (including device services) to be discovered and composed to perform specific features. Sample SOC approaches for smart home include OSGI bundles [12], Web Services [13], service composition [14], DPWS, and SODA.…”

Section: Introductionmentioning

confidence: 99%

Service-oriented smart home applications: composition, code generation, deployment, and execution

Lee

Tsai

et al. 2011

SOCA

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A smart home usually has a variety of devices or home appliance, instead of designing software for a specific home, this paper proposes a service-oriented framework with a set of ontology systems to support service and device publishing, discovery of devices and their services, composition of control software using existing control services that wrap devices, deployment, and execution of the composed service in an computing environment, monitoring the execution, and recovery from device failure. The ontology systems specify semantic information about devices, services, and workflows used in various smart home, and users can compose and recompose services for their specific needs. New devices, workflows, and services can be added into ontology. Most of the steps in this process can be automated including code generation. For example, service composition will be carried out in three steps: abstract workflow design, function construction, and device discovery, and different codes can be generated for different computing platforms such as Java and Open Services Gateway initiative environments. In this way, a variety of smart home can be constructed rapidly using the framework by discovery and composition using existing services and workflows. This paper illustrates this framework using a media control example to illustrate the ontology, discovery, composition, deployment, execution, monitoring, and recovery.

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