Learning Context-Aware Policies from Multiple Smart Homes via Federated Multi-Task Learning

2020 ◽  
Author(s):  
Tianlong Yu ◽  
Tian Li ◽  
Yuqiong Sun ◽  
Susanta Nanda ◽  
Virginia Smith ◽  
...  
Keyword(s):  
Smart Homes ◽  
Context Aware ◽  
Learning Context ◽  
Task Learning

Learning context-aware measurement models

2015 ◽  
Author(s):  
Nurali Virani ◽  
Ji-Woong Lee ◽  
Shashi Phoha ◽  
Asok Ray
Keyword(s):  
Context Aware ◽  
Learning Context ◽  
Measurement Models

Evaluation of Quality of Context Information in U-Health Smart Homes

2012 ◽  
pp. 179-215 ◽  
Author(s):  
José Bringel Filho ◽  
Nazim Agoulmine
Keyword(s):  
Health Systems ◽  
Smart Homes ◽  
Well Being ◽  
Context Information ◽  
Context Aware ◽  
Daily Lives ◽  
Quality Of Context ◽  
The Impact ◽  
Health And Well Being

Ubiquitous Health (U-Health) smart homes are intelligent spaces capable of observing and correctly recognizing the activities and health statuses of their inhabitants (context) to provide the appropriate support to achieve an overall sense of health and well-being in their inhabitants’ daily lives. With the intrinsic heterogeneity and large number of sources of context information, aggregating and reasoning on low-quality raw sensed data may result in conflicting and erroneous evaluations of situations, affecting directly the reliability of the U-Health systems. In this environment, the evaluation and verification of Quality of Context (QoC) information plays a central role in improving the consistency and correctness of context-aware U-Health applications. Therefore, the objective of this chapter is to highlight the impact of QoC on the correct behavior of U-Health systems, and introduce and analyze the existing approaches of modeling, evaluating, and using QoC to improve its context-aware decision-making support.

Using Notification Systems to Create Social Places for Online Learning

2011 ◽  
pp. 1040-1050
Author(s):  
James M. Laffey ◽  
Christopher J. Amelung
Keyword(s):  
Online Learning ◽  
Context Awareness ◽  
Contextual Information ◽  
Learning Activity ◽  
Course Management Systems ◽  
Context Aware ◽  
Learning Context ◽  
Notification System ◽  
The Social ◽  
Critical Components

Context-aware activity notification systems have potential to improve and support the social experience of online learning. The authors of this chapter have developed a Context-aware Activity Notification System (CANS) that monitors online learning activities and represents relevant contextual information by providing notification and making the learning activity salient to other participants. The chapter describes previous efforts to develop and support online learning context awareness systems; it also defines the critical components and features of such a system. It is argued that notification systems can provide methods for using the context of activity to support members’ understanding of the meaning of activity. When designed and implemented effectively, CANS can turn course management systems (CMS) into technologies of social interaction to support the social requirements of learning.

scholarly journals Energy Management for Smart Homes—State of the Art

2019 ◽  
Vol 9 (17) ◽  
pp. 3459 ◽  
Author(s):  
Lashkari ◽  
Chen ◽  
Musilek
Keyword(s):  
Smart Home ◽  
State Of The Art ◽  
Smart Homes ◽  
Future Research ◽  
Context Aware ◽  
Future Perspectives ◽  
Research Directions ◽  
Pros And Cons ◽  
Future Research Directions ◽  
Household Activities

Smart home is a concept that aims to enhance the comfort of residents and facilitate household activities. The smart home is an application of ubiquitous computing which can provide the user with context-aware automated or assistive services in the form of ambient intelligence, remote control of home appliances, or automation. Smart homes attempt to integrate smartness into homes to guarantee the residents’ convenience, safety, and security, while conserving the energy. The capabilities of a smart home in the context of different applications, have been scrutinized for this investigation. Different proposed architectures, protocols, and infrastructures have been taken into consideration. As the data management process is a vital part of a smart home system, many procedures of data collection, storage, and analysis have been surveyed. Methods of data acquisition has also been discussed. Existing challenges, pros, and cons of proposed schemes along with future perspectives of smart homes are identified in this report, which is intended to promote future research directions.

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