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In this paper, a data acquisition and integration platform for internet of things is proposed. The platform is developed under a cloud computing environment using context-oriented approaches. It collects sensor data from different types of sensor devices, including such as RFID, ZigBee sensors, GPS devices, temperature sensors, humidity sensors, luminance sensors, etc. First we are devoted to the...
This paper presents an algorithm that generalizes big sets of contextual situations. Apart from giving details on its mechanisms and implementation, we discuss its employment in a context experience sharing system, KRAMER, and simulate its performance in function of several parameters modelling the expected real data experiment.
Context-aware systems offer entirely new opportunities for application developers and for end users by gathering context data and adapting systems' behavior accordingly. In this paper, we propose a Context Aware ESB (CA-ESB) that will publish and discover services based on location context. The main modules of the framework consist of Context Provider (senses location context), Context Aware Logic...
Context data are updated frequently due to the dynamic changes of the various sensor values and the situations of application entities. Without a proper management, the stored contexts will become different from those of the real-world. Those invalid contexts will cause context inconsistency problems and thus should be eliminated at the right time and in an appropriate manner. In this paper, we propose...
In existing mobile content service systems, the study is quite rare on automatic situation-service rule construction. Hence, a method is proposed that the semantic association rules between situations and preferences are built by quantitative frequent marked lattice. Different recommendation rules can be extracted along multi-dimensional context routes from this lattice structure. It is propitious...
Dissemination of context data from context producing entities to context consuming entities is a fundamental functional task of context aware systems. Broker based approaches have been successfully demonstrated in a number of prototype context-aware systems. With the increase in sensing capabilities of mobile devices, such devices are not merely consumers of context information any more but also have...
Context data is important information for the behaviors of the applications in a pervasive space. To effectively restore huge amount of data, tree-liked layered storage architecture are proposed, where the leaf nodes collect the data from the sensing devices located in its domain. However, the sensing devices may be moving among different domains. In order to integrate the data from the same device,...
The development of ambient intelligence (AmI) applications usually implies dealing with complex sensor access and context reasoning tasks, which may significantly slow down the application development cycle when vertically assumed. To face this issue, we present CASanDRA, a middleware which provides easily consumable context information about a given user and his environment, retrieving and fusing...
Highly sensorised systems present two parallel challenges: how to design a sensor suite that can efficiently and cost-effectively support the needs of given services; and to extract the semantically relevant interpretations, or ldquosituationsrdquo, from the flood of context data collected by the sensors. We describe mathematical structures called situation lattices that can be used to address these...
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