Context-awareness application to control multiple sensors for monitoring smart environment

2017 ◽  
Author(s):  
Khamla Non-Alisavath ◽  
Somphone Kanthavong ◽  
Khanthanou Luangxaysana ◽  
Xaythavy Louangvilay
Keyword(s):  
Context Awareness ◽  
Smart Environment ◽  
Multiple Sensors

Energy-Aware Intelligence in Smart Spaces

2012 ◽  
pp. 366-382
Author(s):  
Sangho Park ◽  
Henry Kautz
Keyword(s):  
Context Awareness ◽  
Human Activities ◽  
Intelligent Systems ◽  
Smart Environments ◽  
Smart Environment ◽  
Energy Aware ◽  
Research Issues ◽  
Intelligent Computing ◽  
Intelligent Algorithms ◽  
Recent Developments

The improvement of energy efficiency in our society has become an urgent issue for sustainability under global warming. The authors present research issues on sensor-based smart environments for energy-aware intelligence, and showcase a study of algorithms for monitoring human activities that provides the context awareness to the smart environments. In order to build energy-aware environments, it is desirable to embed intelligence into the environment itself so that the environment can interpret human behavior in order to adjust itself to human activities occurring in the environment. This is achievable by integrating the environment and the intelligent computing facilities. The computing facility embedded in the environment is equipped with intelligent algorithms that can monitor salient features indicative of the events and learn and recognize changes in the environment. Recent developments in sensor-based intelligent systems can provide suitable algorithms and facilities for building such energy-aware smart environments. The authors present a framework for monitoring human activities in daily living toward the energy-aware intelligence that can detect and learn inhabitants’ behavior patterns in the smart environment.

Towards a service-oriented Middleware Enabling Context Awareness for Smart Environment

2009 ◽  
Vol 4 (1) ◽  
pp. 24 ◽  
Author(s):  
Yuebin Bai ◽  
Haixing Ji ◽  
Qingmian Han ◽  
Jun Huang ◽  
Zhiyuan Zhang
Keyword(s):  
Context Awareness ◽  
Smart Environment ◽  
Service Oriented

Energy-Aware Intelligence in Smart Spaces

2013 ◽  
pp. 640-657
Author(s):  
Sangho Park ◽  
Henry Kautz
Keyword(s):  
Context Awareness ◽  
Human Activities ◽  
Intelligent Systems ◽  
Smart Environments ◽  
Smart Environment ◽  
Energy Aware ◽  
Research Issues ◽  
Intelligent Computing ◽  
Intelligent Algorithms ◽  
Recent Developments

The improvement of energy efficiency in our society has become an urgent issue for sustainability under global warming. The authors present research issues on sensor-based smart environments for energy-aware intelligence, and showcase a study of algorithms for monitoring human activities that provides the context awareness to the smart environments. In order to build energy-aware environments, it is desirable to embed intelligence into the environment itself so that the environment can interpret human behavior in order to adjust itself to human activities occurring in the environment. This is achievable by integrating the environment and the intelligent computing facilities. The computing facility embedded in the environment is equipped with intelligent algorithms that can monitor salient features indicative of the events and learn and recognize changes in the environment. Recent developments in sensor-based intelligent systems can provide suitable algorithms and facilities for building such energy-aware smart environments. The authors present a framework for monitoring human activities in daily living toward the energy-aware intelligence that can detect and learn inhabitants’ behavior patterns in the smart environment.

Proposal of the Anomaly Detection Method of Live-alone by LOF using Multiple Sensors

2015 ◽  
Vol 135 (12) ◽  
pp. 749-755
Author(s):  
Taiyo Matsumura ◽  
Ippei Kamihira ◽  
Katsuma Ito ◽  
Takashi Ono
Keyword(s):  
Anomaly Detection ◽  
Detection Method ◽  
Multiple Sensors
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