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Localization is one of the key enabling technologies for wireless services now penetrating into everyday life. Unfortunately, existing localization schemes are often energy inefficient (such as GPS), or inaccurate (based on signal-distance conversion), or labor intensive (requiring periodic fingerprinting). In this paper we propose a novel localization scheme termed COAL, for COntext Aware Localization,...
Context-aware applications are becoming commonplace in everyday life thanks to recent advances in mobile devices, sensor capabilities and wireless communication networks. However, making the manipulation of context information efficient is still an important issue. Taking into account the quality of context data becomes a corner stone of an efficient context management. In this paper, we argue for...
Service discovery is vital in ubiquitous applications, where a large number of devices and software components collaborate unobtrusively and provide numerous services without user intervention. Existing service discovery schemes use a service matching process in order to offer services of interest to the users. Potentially, the context information of the users and surrounding environment can be used...
Context information is characterized by several qualities that make pervasive services challenging compared to conventional Web services. The additional complexities associated with pervasive services require solid software engineering practices. This paper presents a novel approach based on model-driven development for representing complex crosscutting context-dependent functionality in service interfaces...
In ubiquitous computing environment, user application requires close interaction with the network nodes in its proximity, the interactions are opportunistic and unpredictable with the user's movement. This paper names this phenomenon as a locality problem and provides a model of this problem based on fuzzy set theory. Fuzzy synthetic evaluation method is used to evaluate the local scene members. An...
With the emergence of ubiquitous era, it has become increasingly important for context-aware computing which takes full advantage of proactive services to support user environment. Many kinds of studies on context-aware services for supporting user-centric services have been performed. Recently related researches are concentrated on only service acquisition. Therefore most studies of them have not...
With the increasing demand for dynamic web service composition, traditional web service registries are no longer adequate in providing precise service selection. To address this problem, the paper proposes a fine-grain structural concept for traditional service registries, called web service community. Efficient semantic-level service enquiry and community management depend on context information...
We describe a framework for personalized context aware search of ontology-based tagged data. As more services are offered on the Web, it is becoming increasingly difficult for users to manage their content online. We propose a framework that performs context-aware search of tagged data using a tag ontology that includes context information in addition to tagged keywords in order to present more meaningful...
Ambient Intelligence environments consist of various devices that collect, process, change and share the available context information. The imperfect nature of context, the open and dynamic nature of ambient environments, and the special characteristics of the involved devices have introduced new research challenges on how to represent and reason with contextual information. Previous work presented...
Context-aware computing refers to a general class of computing systems that can sense their physical environment and adapt their behavior accordingly. In order to behave properly, such systems rely on valid and reliable context information. Therefore concepts for validating the correctness of context data are required. In our previous research we have introduced the Context Pattern Method (CPM) that...
A context aware model for the delivery of content in mobile networks is presented and studied through simulation. The proposed model is based on predictive knowledge of mobile user behavior related to consumption of content on smart terminals. Content prediction is here exploited to change the time and the location of content delivery, opportunistically utilizing the instantaneously available excess...
Pervasive Environments offer new opportunities for users to dynamically access resources and services based on information characterizing their situation (context), generally assuming that this information is correct and trustworthy. In this scenario, the Quality of Context information (QoC) plays an important role for improving context-based adaptation processes and for ensuring the correct behavior...
Pervasive computing envisions seamless and distraction-free application support for everyday user tasks. Achieving this requires a high degree of automation. In many scenarios, the basis for automation is context information that can be acquired unobtrusively by means of sensors. Consequently, it is vital to ensure the validity of the context information, especially, in cases where automatic decisions...
In this paper we investigate how ambient displays can be used to share context information. Currently, many personal devices provide context information, such as location or activity, and at the same time the number of ambient displays is increasing. We developed two prototypes for visualizing contextual information and initially explored the suitability of these in an online study. Additionally,...
Deeply meanings of Chinese poems are hard to understand for novices. Motivating from the proverb ??A picture is worth a thousand words??, poetry composition together with relevant multimedia is proposed to assist people in understanding Chinese poems. Learning in this way, the format of poetry and context of learning environment can be used to provide composition suggestions. Therefore, how to assist...
Context-aware computing is an emerging computing paradigm that provides intelligent context-aware application. Its core idea is to have computers understand the real world so that human-computer interactions can happen at a much higher abstraction level, hence to make the interactions much more pleasant or transparent to human users. Context-awareness is the key to achieve this goal. It entails a...
Context awareness is one of the most fundamental issues in pervasive computing. In this paper, an ontology based context model is proposed, which defines "high-level" context ontology to provide basic concepts for sharing and managing context information. Our context model takes QoS and Security supporting into account. In addition, a context aware architecture based on semantic web service...
Context-aware user interfaces facilitate the user interaction by suggesting or prefilling data derived from the user's current context. This raises the problem of determining which context information can be used as input for which interaction element in the user interface. This task is especially challenging as the texts that describe the elements, e.g. their labels, often differ in the terminology...
This paper proposes a generic policy based self-management model that can be used to automatically detect and repair the problems appeared during the context adaptation processes. To successfully capture and evaluate the dynamic rules that govern the context aware adaptation processes we have defined an generic context policy representation model and its associated reasoning language conversion model...
Almost all context-aware systems have two indispensable components - context provider and context consumer. The former is responsible for supplying diverse context information about users and environments, while the later makes use of context information in building context-aware applications. The diversity of context information from heterogeneous context suppliers to different consumers justifies...
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