scholarly journals Final Scientific/Technical Report: Context-Aware Smart Home Energy Manager (CASHEM)

2013 ◽  
Author(s):  
Wendy K. Foslien ◽  
Keith L. Curtner
Keyword(s):  
Smart Home ◽  
Context Aware ◽  
Technical Report ◽  
Scientific Technical ◽  
Energy Manager

scholarly journals Development of a Context-Aware Smart Home Energy Manager (CASHEM)

2013 ◽  
Author(s):  
Viraj Srivastava ◽  
Atefe Makhmalbaf ◽  
Graham B. Parker
Keyword(s):  
Smart Home ◽  
Context Aware ◽  
Energy Manager

scholarly journals A non-intrusive context-aware system for ambient assisted living in smart home

2013 ◽  
Vol 3 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Willy Allègre ◽  
Thomas Burger ◽  
Jean-Yves Antoine ◽  
Pascal Berruet ◽  
Jean-Paul Departe
Keyword(s):  
Assisted Living ◽  
Smart Home ◽  
Ambient Assisted Living ◽  
Context Aware ◽  
Context Aware System

A Differentially Private Context-Aware Edge-Cloud-Enabled Nursing System in Smart Home

2021 ◽  
Author(s):  
Gang-Ting Liu ◽  
Qi-Wen Li ◽  
Dan-Hong Wang ◽  
Ruo-Bing Ren ◽  
Hai-Tao Chou ◽  
...  
Keyword(s):  
Smart Home ◽  
Context Aware ◽  
Private Context

A Context-Aware Information Model for Elderly Homecare Services in a Smart Home

2009 ◽  
Author(s):  
Feng Zhou ◽  
Jianxin Roger Jiao ◽  
Songlin Chen ◽  
Daqing Zhang
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Rough Set Theory ◽  
Research Problem ◽  
Information Model ◽  
Context Aware ◽  
Sensor Platform ◽  
Smart Home Environment ◽  
Manual Assistance

One of the critical situations facing the society across the globe is the problem of elderly homecare services (EHS) due to the aggravation of the society coupled with diseases and limited social resources. This problem has been typically dealt with by manual assistance from caregivers and/or family members. The emerging Ambience Intelligence (AmI) technology suggests itself to be of great potential for EHS applications, owing to its strength in constructing a pervasive computing environment that is sensitive and responsive to the presence of human users. The key challenge of AmI implementation lies in context awareness, namely how to align with the specific decision making scenarios of particular EHS applications. This paper proposes a context-aware information model in a smart home to tackle the EHS problem. Mainly, rough set theory is applied to construct user activity models for recognizing various activities of daily living (ADLs) based on the sensor platform constructed in a smart home environment. Subsequently, issues of case comprehension and homecare services are also discussed. A case study in the smart home environment is presented. Initial findings from the case study suggest the importance of the research problem, as well as the feasibility and potential of the proposed framework.

scholarly journals Final Scientific/Technical Report Compact, Inexpensive Micro-Reformer for Distributed GTL Systems

2014 ◽  
Author(s):  
Leslie Bromberg ◽  
◽  
Wai K. Cheng ◽  
William H. Green ◽  
Emmanuel Lim ◽  
...  
Keyword(s):  
Technical Report ◽  
Scientific Technical
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