A Petri-Net Based Context-Aware Workflow System for Smart Home

2012 ◽  
Author(s):  
Zhang Xing ◽  
Zheng Hong ◽  
Liu Yulong
Keyword(s):  
Petri Net ◽  
Smart Home ◽  
Context Aware ◽  
Workflow System

Context-Aware Service Modeling and Conflicts Discovery Based on Petri Net

2019 ◽  
Vol 10 (3) ◽  
pp. 74-91
Author(s):  
Tao Lu ◽  
Dan Zhao
Keyword(s):  
Side Effects ◽  
Petri Net ◽  
Smart Home ◽  
Smart Environments ◽  
Context Information ◽  
Context Aware ◽  
Service Execution ◽  
Service Modeling ◽  
Context Aware Service

In smart environments, context-aware service sense various kinds of context information and reacts automatically to adapt to changing circumstances. These adaptions may lead to context changes which trigger other services elsewhere in the environment and thus produce cascading reactions. Conflict adaptions or unexpected side effects may exist in this process. This article focuses on service conflicts related to frustrations in service execution and violations of the service's objective. A petri net-based approach is proposed to model and simulate context changes as well as services execution, and a conflicts discovery mechanism was built to detect potential conflicts. The case study of smart home scenarios shows how the method helps locate conflicts caused by different services, validating the effectiveness of the proposed approach.

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.

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