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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,...
A majority of the approaches to activity recognition in sensor environments are either based on manually constructed rules for recognizing activities or lack the ability to incorporate complex temporal dependencies. Furthermore, in many cases, the rather unrealistic assumption is made that the subject carries out only one activity at a time. In this paper, we describe the use of Markov logic as a...
This paper presents current work on a pervasive health and fitness game (exergame), designed to motivate children to reach their recommended daily exercise goals and facilitate long term behavioural change. I discuss briefly the current work in the area of pervasive exergames and highlight a common theme in the approach they take. Through my study of the relevant psychology literature, I identify...
Context-aware self-adaptive applications monitor and exploit knowledge about external operating conditions and adapt to changes in the execution context. Modern smartphones are equipped with several sensors, like GPS sensor or accelerometer. Additionally, context reasoners and external context providers exist. Thus, it is possible that several context providers offer information of the same type (e...
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...
We present a novel software architecture for context-aware applications based on a distributed, non-monolithic, simple and extensible relational model for representing context; a service-oriented architecture for computing these relations in a decoupled, flexible fashion; and with data driven, event based communication providing the kind of fine grained dynamic service composition required in mobile...
The adaptive ubiquitous services, which dynamically adapt behaviors to requirements and contexts, are one of the major challenges in the ubiquitous computing. To facilitate the management of ubiquitous service resources, this paper presents a novel platform called ubiquitous cloud, borrowing the concept of the cloud computing. The ubiquitous cloud supports various stakeholders to use appropriate ubiquitous...
In recent years, the ubiquitous computing system attracts people's attention as the system to provide useful services (e.g., automatic temperature control) without explicit operations by users. There are many existing methods for controlling appliances according to the user's preference by describing each user's preference and rules. However, these methods cannot be applied to public spaces where...
Smart objects are gradually integrating into people's everyday life. While many context-aware solutions for pervasive computing environments do not consider users social aspects, we believe smart objects should be social-aware. So Smart aims at filling the gap in social understanding of the user environment, presenting an ontology based context model to support social context representation and automated...
Context-aware applications automatically adapt their behavior according to environmental conditions, also known as contexts. However, in practice contexts are often inaccurate, noisy or even inconsistent (e.g., two RFID readers may report different numbers for the same set of goods processed). These kinds of problematic contexts may cause context-aware applications to behave abnormally or even fail...
Due to the high cost of replication, incurred mainly by consistency management, it may be infeasible to use uninformed object replication in collaborative applications in pervasive environments, since resources are constrained, nodes are heterogeneous, and application behaviour is highly dynamic. Consequently, this paper proposes an adaptive replication scheme that dynamically creates and releases...
Context-awareness in pervasive smart spaces exposes intuitively useful services. These services implicitly annotate users' personal information with contextual cues to individualise experiences. Mobile terminals have positioned most domestic and business users as potential consumers of these services. To alleviate the inconveniences of small screens, compact keyboards and users' limited attention...
Smart spaces are characterised by availability of information from digital artifacts embedded in the environment and network services that unobtrusively enhance our interaction with the digital world. User and environment context plays a vital role in deciding the usability of information services available in a smart space. Making this context available and coordinating it across the network, geographic...
The Undersea Warfare Decision Support System (USW-DSS) will enhance Naval Fleet capabilities by providing a “Common Tactical Picture” between platforms. However, USW-DSS encapsulates a number of mission-critical tasks across many contexts, necessitating solutions to improve multi-tasking and context switching. As part of a Small Business Innovation Research (SBIR) project, we have formulated an approach...
Smart environment is defined here as a number of devices that can share information and services independently of their physical location. Smart environments based on ubiquitous computing open new possibilities to various aspects of human activities. The paper proposes an approach to emergency situation response that benefits of the ubiquitous computing. The approach is based on utilizing role profiles...
Context-aware applications adapt their behavior to the user current situation. This paper presents a new architecture named COAST (Context-aware Speech to text translator). Reducing user interaction and selecting the best classifier based on contexts are the primary objectives in COAST and user's privacy rules can be applied too. The contexts are categorized in two sets: system-contexts and classification...
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)...
Modeling ad-hoc context-aware services and applications that are delivered to a user as they move through a smart space has always been fraught with difficulty. It requires representation, management and inference of context, dynamic update of both context & application domain models, reasoning matching, querying and triggering of services. Quite often these systems comprise of many models...
One of the most important points in context-aware computing is to build a reasonable context model. Currently, many models were not built in a common structure. It is hard to build other models depending on the existing ones. In this paper, we build a common ontology-based context model with Web Ontology Language (OWL), which provides an efficient and convenient way of ontology-building by adding...
Advances in computer networking combined with powerful home computers and modern operating systems made streaming media practical and affordable for ordinary consumers. We are enjoying different streaming services such as DMB, PMP, smart phone, etc. that have never experienced before. In the future computing environment such as ubiquitous environment, user can be served video streaming service by...
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