scholarly journals Ontology-based home service model

2012 ◽  
Vol 9 (2) ◽  
pp. 813-838 ◽  
Author(s):  
Moji Wei ◽  
Jianliang Xu ◽  
Hongyan Yun ◽  
Linlin Xu
Keyword(s):  
Smart Home ◽  
Hierarchy Of Needs ◽  
Function Concept ◽  
Service Model ◽  
Service Invocation ◽  
Home Service ◽  
Key Concepts ◽  
Different Types ◽  
Domain Ontologies ◽  
Upper Ontology

This paper researches Home Service retrieval and invocation for smart home. We represent ontology-based Home Service Model to retrieve and invoke services according to user?s needs automatically. Firstly by analyzing the context of home service, we differentiate key concepts in the field and analyze the relations among them, and as a result, an upper ontology as a fixed viewpoint for further more detailed conceptualization is achieved. Then by reifying the concepts of the upper ontology, we construct two domain ontologies which are Function Concept Ontology and Context Concept Ontology to annotate the semantic of Home Service from different facets. The Function Concept Ontology is constructed with the guidance of Maslow's Hierarchy of Needs to annotate the goal of service for automating service retrieval. For service invocation, the Context Concept Ontology is constructed by analyzing the contents that services operate. Finally two scenarios for different types of services are given to demonstrate the usage of the model.

Semantic Service Registration and Retrieval for Smart Home

2012 ◽  
Vol 263-266 ◽  
pp. 1740-1744
Author(s):  
Yan Qing Zhao ◽  
Shi Wei Zhu ◽  
Jun Feng Yu ◽  
Ai Ping Wang
Keyword(s):  
Smart Home ◽  
Model Based ◽  
Home Service ◽  
Domain Ontologies ◽  
Semantic Service

In order to solve the syntax problem of service retrieval based on keywords, we present an Ontology-based solution for service registration and retrieval in this paper. Firstly we analyze the semantics of home service from different facets, and extract relative concepts of service to construct three domain ontologies including function ontology, content ontology and device ontology. Then, a model based on these domain ontologies has been presented. Finally the process from registration to retrieval is given in detail.

An Architecture for Home Service Retrieval Based on Function Concept Ontology

2013 ◽  
Vol 303-306 ◽  
pp. 1385-1390
Author(s):  
Mo Ji Wei ◽  
Yan Qing Zhao ◽  
Lei Wang ◽  
Yan Wang
Keyword(s):  
Functional Properties ◽  
Smart Home ◽  
Function Concept ◽  
Home Service ◽  
Audible Alarm

This paper constructs function concept ontology for smart home to automate home service retrieval according to the functional properties. Firstly in order to construct function concept ontology, the function concept is divided into five categories by analyzing the lifecycle of information, and then each category is refined according to the ways the devices adopted. Then a scenario of audible alarm of gas detective is given to show the drawback of current retrieval mode. Finally an ontology-based architecture is proposed to present service registry, retrieval and invocation based on the function concept ontology.

Non-wearable human identification sensors for smart home environment: a review

Sensor Review ◽  
2018 ◽  
Vol 38 (3) ◽  
pp. 391-404 ◽  
Author(s):  
Ghassem Mokhtari ◽  
Nazli Bashi ◽  
Qing Zhang ◽  
Ghavam Nourbakhsh
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Body Shape ◽  
Human Identification ◽  
Content Type ◽  
Advantages And Disadvantages ◽  
Object Based ◽  
Different Types ◽  
Smart Home Environment ◽  
Identification Approach

Purpose This paper aims to provide a review of different types of non-wearable human identification sensors which can be applied for smart home environment. Design/methodology/approach The authors performed a systematic review to assess and compare different types of non-wearable and non-intrusive human identification sensors used in smart home environment. The literature research adds up to 5,567 records from 2000 to 2016, out of which 40 articles were screened and selected for this review. Findings In this review, the authors classified non-wearable human identification technologies into four main groups, namely, object-based, footstep-based, body shape-based and gait-based identification technologies. Assessing these four group of identification technologies showed that the maturity of non-wearable identification is not high and most of these technologies are verified in a lab environment. Additionally, footstep-based identification is the most popular identification approach listed in the literature. Originality/value This study contributes to the literature on human identification technologies in several ways. This paper identifies the state-of-the-art regarding non-wearable technologies which can be used in smart home environment. Moreover, the results of this paper can provide a better understanding of advantages and disadvantages of the non-wearable identification technologies.

Determinates of Consumer Adoption Attitudes

2013 ◽  
Vol 5 (2) ◽  
pp. 40-56 ◽  
Author(s):  
Tsui-Yii Shih
Keyword(s):  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Technology Acceptance Model ◽  
Smart Home ◽  
Consumer Attitudes ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Consumer Adoption ◽  
Home Service ◽  
Acceptance Model

Smart home services (SHS) have been developed by related firms and have had a strong impact on consumers’ lives. This research integrates involvement antecedents, innovation diffusion factors and a technology acceptance model to develop a conceptual framework for discussing consumer attitudes and adoption behaviors toward smart home service applications. A sample of 580 respondents from different smart home buildings in Taiwan was asked to complete a survey. This paper proposes and validates a structured methodology for assessing and improving smart home service development. The research results verify that involvement antecedents (interest), innovation diffusion factors (observability, compatibility, relative advantage), and technology acceptance model (perceived usefulness) positively affect consumer attitudes toward the adoption of smart home services and that positive adoption attitudes lead to higher levels of adoption behavior. Perceived ease of use has no influence on consumer adoption attitudes toward smart home services unless through the mediating effects of perceived usefulness. Demographic variables, including gender, age and personal income, play important segmentation roles in the promotion strategies for smart home services.

scholarly journals Health economics in mental health. 2: Economic evaluation

1997 ◽  
Vol 21 (11) ◽  
pp. 687-691
Author(s):  
Neil Craig ◽  
Cameron Stark
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Economic Evaluation ◽  
Health Economics ◽  
Economic Analysis ◽  
Mental Health Care ◽  
Costs And Benefits ◽  
Key Concepts ◽  
Different Types ◽  
Key Aspects

This paper is the second in a series explaining key concepts and techniques used in health economics in the context of mental health care. The paper describes the different types of economic analysis and the circumstances in which they should be used. It explains key aspects of the methods used in economic evaluation to measure costs and benefits. The purpose of the paper is not to enable clinicians to undertake economic analysis, but to familiarise them with the methods used in economic evaluation and to enable them to assess the rigour and results of published studies.

scholarly journals Learning and Development of Home Service Robots’ Service Cognition Based on a Learning Mechanism

2020 ◽  
Vol 10 (2) ◽  
pp. 464
Author(s):  
Fei Lu ◽  
Min Huang ◽  
Xiaolei Li ◽  
Guohui Tian ◽  
Hao Wu ◽  
...  
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Learning Algorithm ◽  
Comfort Level ◽  
Service Robots ◽  
Context Model ◽  
Historical Experience ◽  
Intelligent Sensors ◽  
Home Service ◽  
Discrete Part

In order to improve the intelligence of home service robots and resolve their inability to develop service cognition skills in an autonomous, human-like manner, we propose a method for home service robots to learn and develop skills that allow them to perform their services appropriately in a dynamic and uncertain home environment. In a context model built with the support of intelligent sensors and Internet of Things (IoT) technology in a smart home, common-sense information about environmental comfort is recorded into the logical judgment of the robot as a reward provided by the environment. Our approach uses a reinforcement learning algorithm that helps train the robot to provide appropriate services that bring the environment to the user’s comfort level. We modified the incremental hierarchical discriminant regression (IHDR) algorithm to construct an IHDR tree from the discrete part of the data in a smart home to store the robot’s historical experience for further service cognition. Poor adaptive capacity in a changeable home environment is avoided by additional user guidance, which can be inputted after the decision is made by the IHDR tree. In the early development period, when robots make an inappropriate service decision because they lack historical experience, the user can help fix this decision. Then, the IHDR tree is updated incrementally with fixed decisions to enrich the robot’s empirical knowledge and realize the development of its autonomic cognitive ability. The experimental results show that the robot accumulates increasingly more experience over time, and this experience plays an important role in its future service cognition, similar to the process of human mental development.

Developing Smart Home Service Scenario Based on Contextual User Research

2014 ◽  
Vol 14 (1) ◽  
pp. 43-53
Author(s):  
Kang, Eun Hye ◽  
Namchoon Park
Keyword(s):  
Smart Home ◽  
User Research ◽  
Home Service

ECDH-Based 3PAKE Protocol for Secure Smart Home Service

2017 ◽  
Vol 23 (12) ◽  
pp. 12752-12756
Author(s):  
Dae-Hwi Lee ◽  
Im-Yeong Lee
Keyword(s):  
Smart Home ◽  
Home Service

scholarly journals Mere Recollection of Food Reduces Altruistic Behavior

2017 ◽  
Vol 48 (2) ◽  
pp. 250-254
Author(s):  
Yasuto Okamura
Keyword(s):  
Cue Reactivity ◽  
The State ◽  
Altruistic Behavior ◽  
Control Group ◽  
Hierarchy Of Needs ◽  
Food Cues ◽  
Different Types ◽  
Before And After

Abstract The purpose of the study was twofold: Experiment 1 tested the possibility that the mere recollection of food aroused a state of hunger and that different types of food influenced the state of hunger differently; Experiment 2 tested the possibility that food cues affected altruistic behavior. In Experiment 1, 28 participants reported how hungry they felt before and after their recollection of certain foods (noodles and pudding). Results suggest that recollection of food increased hunger and that the type of food influenced the degree of hunger (F(2,54) = 31.88, p < .001, η2 = .54). In Experiment 2, 63 participants were randomly assigned to one of three recollection conditions: (1) noodles, (2) pudding, and (3) control. Participants in the two conditions described each food in detail; control group participants did not. Participants were then asked how much they would be willing to participate in an ostensible experiment. Results indicate that recollection-induced hunger reduced altruistic behavior (F(2, 60) = 4.11, p = .021, η2 = .12). Cue reactivity theory and the hierarchy of needs could explain these results.

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