Context awareness

About: Context awareness is a research topic. Over the lifetime, 5790 publications have been published within this topic receiving 119944 citations.

Situation awareness in context-aware case-based decision support

Abstract: Humans naturally reuse recalled knowledge to solve problems and this includes understanding the context i.e. the information that identifies or characterizes these problems. For problems in complex and dynamic environments, providing effective solutions by operators requires their understanding of the situation of the environment together with the context. Context-aware case-based reasoning (CBR) applications uses the context of users to provide solutions to problems. The combination of a context-aware CBR with general domain knowledge has been shown to improve similarity assessment, solving domain specific problems and problems of uncertain knowledge. Whilst these CBR approaches in context awareness address problems of incomplete data and domain specific problems, future problems that are situation-dependent cannot be anticipated due to lack of the facility to predict the state of the environment. This paper builds on prior work to present an approach that combines situation awareness, context awareness, case-based reasoning, and general domain knowledge in a decision support system. In combining these concepts the architecture of this system provides the capability to handle uncertain knowledge and predict the state of the environment in order to solve specific domain problems. The paper evaluates the concepts through a trial implementation in the flow assurance control domain to predict the formation of hydrate in sub-sea oil and gas pipelines. The results show a clear improvement in both similarity assessment and problem solving prediction.

Dedicated Programming Support for Context-Aware Ubiquitous Applications

Abstract: Ubiquitous mobile applications often require dynamic context information for user-specific computation. However, state-of-the-art platforms, frameworks, and programming languages used for developing such applications do not directly support context-dependent behavior with first class entities. Instead, context-aware functionality is tangled with the application's core concerns, which increases complexity, and hinders separation of concerns and further software evolution. This paper motivates Context-oriented Programming (COP) for ubiquitous computing. It presents an overview of our COP extension to the Java programming language and a scenario of a context-oriented mobile application.

A Distributed Multi-Agent Framework for Resilience Enhancement in Cyber-Physical Systems

Abstract: Cyber-physical systems (CPSs) are nowadays an important component of most industrial infrastructures and materialize the integration of control systems with advanced information technologies. Commonly, they aggregate distinct communication platforms and networked devices or nodes with different capabilities and goals. The resulting increase in complexity has inevitably brought into playing new challenges, namely, on the physical world and cyber space. In these systems, the development and gaining of state awareness and how to deal with the inherent vulnerabilities of the overall system are essential and also challenging. In this paper, the problem of resilience enhancement in CPSs is addressed based on a hierarchical multi-agent framework that is implemented over a distributed middleware, in which each agent carries out specific tasks. Physical and cyber vulnerabilities are taken into account, and state and context awarenesses of the whole system are targeted. The proposed framework ensures a minimum level of acceptable performance in case of physical disturbances and malicious attacks, as demonstrated by experiments on an IPv6-based test-bed.