scholarly journals Ontology-based Context Modeling to Facilitate Reasoning in a Context-Aware System: A Case Study for the Smart Home

2015 ◽  
Vol 9 (9) ◽  
pp. 151-156 ◽  
Author(s):  
Robiul Hoque ◽  
Humayun Kabir ◽  
Keshav Thapa ◽  
Sung-Hyun Yang
Keyword(s):  
Smart Home ◽  
Context Aware ◽  
Context Modeling ◽  
System A ◽  
Context Aware System

Inference of Human Intentions in Smart Home Environments

2013 ◽  
Vol 1 (2) ◽  
pp. 26-42
Author(s):  
Katsunori Oyama ◽  
Carl K. Chang ◽  
Simanta Mitra
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Context Aware ◽  
Different Types ◽  
Human Intention ◽  
Smart Home Environment ◽  
System Requirements ◽  
Context Aware System ◽  
Context Models

Most of context models have limited capability in involving human intention for system evolvability and self-adaptability. Human intention in context aware systems can evolve at any time; however, context aware systems based on these context models can provide only standard services that are often insufficient for specific user needs. Consequently, evolving human intentions result in changes in system requirements. Moreover, an intention must be analyzed from tangled relations with different types of contexts. In the past, this complexity has prevented researchers from using computational methods for analyzing or specifying human intention in context aware system design. The authors investigated the possibility for inferring human intentions from contexts and situations, and deploying appropriate services that users require during system run-time. This paper presents an inference ontology to represent stepwise inference tasks, and then evaluate contexts surrounding a user who accesses PCs through a case study of the smart home environment.

scholarly journals Context-Aware Adaptation of Component-Based Systems: An Active Repository Approach

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Sindolfo Miranda Filho ◽  
Julio Melo ◽  
Luiz Eduardo Leite ◽  
Guido Lemos
Keyword(s):  
Context Aware ◽  
Current Configuration ◽  
Fuzzy Logic Algorithm ◽  
Running System ◽  
Component Based Software Engineering ◽  
Context Aware System ◽  
The Given ◽  
To Receive ◽  
Component Repository

Context-aware systems are able to monitor and automatically adapt their operation accordingly to the execution context in which they are introduced. Component-based software engineering (CBSE) focuses on the development and reuse of self-contained software assets in order to achieve better productivity and quality. In order to store and retrieve components, CBSE employs component repository systems to provide components to the system developers. This paper presents an active component repository that is able to receive the current configuration from the context-aware system and compute the components and the new architecture that better fit the given context. Since the repository has a wide knowledge of available components, it can better decide which configuration is more suitable to the running system. The repository applies Fuzzy logic algorithm to evaluate the adequacy level of the components and GRASP algorithm to mount the new system architecture. In order to verify the feasibility of our approach, we use a digital TV middleware case study to achieve experimental results.

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 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.

Machine Learning Based Adaptive Context-Aware System for Smart Home Environment

2015 ◽  
Vol 9 (11) ◽  
pp. 55-62 ◽  
Author(s):  
M. Humayun Kabir ◽  
M. Robiul Hoque ◽  
Hyungyu Seo ◽  
Sung-Hyun Yang
Keyword(s):  
Machine Learning ◽  
Home Environment ◽  
Smart Home ◽  
Context Aware ◽  
Smart Home Environment ◽  
Context Aware System

scholarly journals Context-aware architecture for Industry 4.0-ready manufacturing facility

2021 ◽  
Vol 8 (8) ◽  
pp. 20-30
Author(s):  
Olayan Alharbi ◽  
◽  
Mafawez Alharbi ◽  
Keyword(s):  
Mathematical Model ◽  
Industry 4.0 ◽  
Historical Data ◽  
Manufacturing Sector ◽  
Context Aware ◽  
Planning Systems ◽  
Manufacturing Facility ◽  
Extensive Data ◽  
Context Aware System

The industry 4.0 revolution is empowering the manufacturing sector with several advantages from the production to consumption stage of products, or beyond that. Recently, operators in factories have been accumulating extensive data from machine sensors and other organizational and operational technologies such as company enterprise and planning systems. Notably, having access to extensive data is a double-edged sword. To the best of our knowledge, there is not any work in the literature that proposed architecture for industry 4.0 based on a context-aware system. The aim of this research is to provide the context-aware architecture to enhance decision-making in factories and reduce the exposure of operators to the necessary and related findings. The proposed system is contextually aware of three aspects, operator feedback for previous similar findings, specifications of products under production, and historical data of manufacturing machines. The proposed system is proactive which attracted operator attention only when the findings were contextually related, based on the aforementioned aspects. The contributions of this research an intelligent architecture, a case study, and a mathematical model.

Evaluating the Context Aware Browser

2011 ◽  
pp. 1-15
Author(s):  
Davide Menegon ◽  
Stefano Mizzaro ◽  
Elena Nazzi ◽  
Luca Vassena
Keyword(s):  
Mobile Devices ◽  
Early Stage ◽  
Context Aware ◽  
Web Content ◽  
Reliable Tool ◽  
Retrieval Systems ◽  
Web Contents ◽  
Current Context ◽  
Context Aware System

The authors discuss the evaluation of highly interactive and novel context-aware system with a methodology based on a TREC-like benchmark. We take as a case study an application for Web content perusal by means of context-aware mobile devices, named Context-Aware Browser. In this application, starting from the representation of the user’s current context, queries are automatically constructed and used to retrieve the most relevant Web contents. Since several alternatives for query construction exist, it is important to compare their effectiveness, and to this aim we developed a TREC-like benchmark. We present our approach to early stage evaluation, describing our aims and the techniques we apply. The authors underline how, for the evaluation of context-aware retrieval systems, the benchmark methodology adopted can be an extensible and reliable tool.

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.

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