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Because text, either written or spoken, is the unrivaled way to communicate one's feelings and emotions, it is the best modality to harness for building efficient emotion recognition systems. However, researches on building text-based emotion recognition systems are progressing slowly compared to face or voice based systems. In fact, natural language evolution and text-related contexts are both constraints...
With the proliferation of mobile devices and the development of wireless technologies, users can run a wide range of applications on mobile devices. However, the mismatch between applications and mobile devices does not guarantee the application quality. To solve this problem, this paper proposes a context-aware application matching system.
The amount of data within the Linking Open Data (LOD) cloud is steadily increasing and resembles a rich source of information. Since Context-aware Services (CAS) can highly benefit from background information, e.g., about the environment of a user, it makes sense to leverage that enormous amount of data already present in the LOD cloud to enhance the quality of these services. Within this work, the...
Context aware systems are able to adapt their operation to the current context information without explicit user intervention, in order to derive high-level context information from low-level context information that may be spread over multiple domains, context reasoning method is necessary. Most existing reasoning methods in context aware systems rely on centralized approach that combines local ontology...
The applications in Ubiquitous Computing (UbiComp) environments must be aware of their contexts of interest and adapt to changes in them. Thus, a major research challenge in the area of UbiComp is related to context awareness. Considering the high distribution, heterogeneity, dynamism, and mobility of ubiquitous environments, this paper presents an architecture for context awareness, named UbiC (Ubiquitous...
The paper presents a prototype radio network aiding the visually impaired in using the public transport. The main purpose of the network is to provide accurate and reliable location information as well as to enable access to location related context information. The data from radio nodes are used to facilitate the navigation in urban and indoor areas. Keeping up the connection with dedicated system...
Context information, such as user location, time, and user profile, has been popularly applied to analyze user behavior for many societies . In this paper, we develop a restaurant recommendation system based on mobile context-aware services to provide customized information for users. We analyze the service satisfaction ratings of the users to recommend favored restaurants for them. With mobile context...
Communication networks are spreading everywhere. There are many issues related to these networks. One of them is server selection algorithm. By selecting an appropriate server: (i) we can guarantee a high perceived quality to the user and (ii) reduce the server response time. This issue is more important in the mobile thin client networks. In these networks, all requests are responded by the server...
Remote vehicle monitoring system keeps track of vehicle and also monitor the fleet level of the vehicle status. Here two problems are dealt with. First one is the anywhere any time monitoring of the vehicle status cannot be done through manual monitoring and the second one is the system behavior change according to user changes. The novelty of the proposed approach is twofold. First our proposal allows...
Clouds and data centres are significant consumers of power. There are however, opportunities for optimising carbon cost here as resource redundancy is provisioned extensively. Data centre resources, and subsequently clouds which support them, are traditionally organised into tiers; switch-off activity when managing redundant resources therefore occurs in an approach which exploits cost advantages...
Contextual information are used to describe situations of entities (users and devices) and their interactions. Applications need such information in order to adapt their behaviour in response to changes in the entities context. In certain scenarios and in particular machine to machine, the integration of a large number of components makes the management of the generated contextual information a very...
For the ubiquitous computing environment, an important assumption is that all the components in any specific environment are connected with each other. With this assumption, we introduce an effective scheme to provide a personalized service based on Virtual Personal World(VPW). Virtual Personal World (VPW) which is a model focused on service continuity of personal world. Previous ubiquitous frameworks...
In this paper we describe our methodology for building context-aware applications. It supports a systematic definition, conception and development of the context-aware features of an application along the different phases of a software development process. Its application has helped us in the discussion and conception of these features in project teams with non-technical domain experts. A context...
The research presented in this article proposes an innovative services management infrastructure for e-business services integration. E-business environments are characterised by a variety of services from providers as well as constantly changing demands from requesters (e.g. users). Managing services and providing effective solutions through adequate identification and invocation of services to meet...
The modern mobile ubiquitous computing environment, with reasonable connectivity, processing power and sensing capabilities on portable devices, present applications and services with the opportunity to be truly context-aware. But building context-aware applications has large development overheads due to complexities of sensing, aggregating and inferencing context information. To reduce the developers'...
We present PeerSense, a system that provides meaningful co-presence information which serves as an enabler for various applications that require user's current social proximity information, for example contextual photo-sharing. Unlike traditional approaches for inferring co-presence, PeerSense is both privacy-preserving and easy-to-use.
Advanced context-aware telecom services require evaluating rules encompassing local or remote, raw or abstract context situations. The meteoric rise of smartphones raises the question of potential deployment of terminal-based context-aware services versus a network-centric one. In this paper we compare these two approaches through the analysis of typical context-aware services.
In modern software development, software requirements and implementation are not always reconciled. This leads to difficulties for evolution tasks in future. Specifically, for modern context-aware systems, changes in stakeholders' requirements disclose that existing implementation is insufficient to meet the new requirements due to the limitations of the traditional techniques. In this paper, we propose...
To provide effective mobile services in spite of network disruption, context aware middleware services on mobile devices and application servers can provide services for continuation of applications, by managing mobile services, network connection, limited resources, and context information. In this paper, we propose context aware middleware services for disconnection tolerant mobile application services...
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...
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