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Sensor-rich ubiquitous computing systems could face many inconsistent decisions while selecting context data from redundant sources to compose the context, since low-quality sensor data can be selected to accordingly adapt the environment and services based on context changes. These systems need mechanisms to verify the quality of collected sensor data in order to select reliable context information...
Traditional phone communication is designed on the assumption that caller actively telephones callee without any knowledge of callee's situation. Caller often doesn't make successful calling as callee is not available at that time. Along with the development of pervasive computing and sensor technology, context information of user can be sensed, inferred from pervasive environment. Before starting...
Recent research in pervasive computing and distributed decision support systems aims to enable users to share knowledge easily to support one another in problem solving in a manner that adapts to their varying contexts of work. However, existing approaches, most often, are restricted by formal models of task analysis and, as such, are not able to capture the informal work practices, which workers...
Context-awareness is a key ingredient in any ubiquitous and pervasive system and provides intelligence to the system, allowing computing devices to make appropriate and timely decisions on behalf of users. One of the important aspects of mobility management is the dynamic selection of the best access network for a multimodal device when there is a need to perform a handover. Multi Attribute Decision...
Context-aware applications do not always adapt their behaviours in ways that users expect due to a variety of reasons. Applications that lack intelligibility are often incapable of offering explanations to users as to why they decided to adapt their behaviours in certain ways, and providing feedback mechanisms for users to take control of any unwanted adaptation. This can lead to loss of user trust,...
According to the characteristics of pervasive computing, a suitable service model based on recommendation trust for pervasive computing is presented in this paper. In this model, the concept of recommendation credibility, credibility of service content and indirect credibility are introduced to overcome the problem of pervasive computing in the choice of service provider blindly. Recommendation credibility...
Risk assessment plays a significant role in Decision Support Systems (DSS). Recently, there have been efforts to exploit the potential of linking risk assessment to security provisioning to provide risk-aware security services. One of these efforts is the Context-Risk-Aware Access Control (CRAAC) model that links requesters' access privileges to the risk level in the underlying access environment...
VA (Virtual Assembly) provided a numerical platform for assembly design. However, lacking of intelligent guide is a critical problem in assembly design with VA technology. This paper proposes a novel concept of context-aware in VA, and discusses the connotation and extension of it. Such context should be a small world context that provided intelligent for virtual environment, while an ontology-based...
The role of context for better decision-making has been a topic of significant research effort over the years. Context-aware systems are able to adapt their operations to the current context without explicit user intervention and thus aim at increasing usability and effectiveness by taking environmental context into account. These systems exploit information about the context of use, such as the location,...
New medical devices and services enabling citizenpsilas health care anywhere and anytime are expected in the near future. However, to become a reality these devices must be supported by personalized services which satisfy user needs. In this paper we propose a general approach to manage the complexity of ambiguously related information for providing enhanced, user-specific services in the self-care...
In a pervasive computing environment, the personalized recommender system incorporates contexts into recommendation and becomes a multiple dimensional decision expert system. In this paper, we present DFre, a distributed fuzzy reasoning engine for personalization recommendation. With difference from those existing rule-based systems, the DFre puts an emphasis on the distribution of the recommendation...
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