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Context-aware applications adapt their behavior based on collected contexts. However, contexts can be inaccurate due to sensing noise, which might cause applications to misbehave. One promising approach is to check contexts against consistency constraints at runtime, so as to detect context inconsistencies for applications and resolve them in time. The checking is typically immediate upon each collected...
CH-AVATAR is a context-aware platform for tourists and visitors of Cultural Heritage sites. Cultural Heritage objects (CH objects) become “alive” within the platform. They tell their stories and interact with tourists. The platform employs BLE beacons and the visitor's smartphone or tablet to create an interactive and adaptive Cultural Heritage experience for its end users. The paper makes a generic...
New generations of cloud applications are increasingly complex and pose lower latency requirements. e la er is forcing the industry to reduce network latency by adding computation nodes near the edge of the network, also known as Fog Computing. To utilize the Fog nodes efficiently, the dynamic placement and migration of application components must be supported. To this end, a Fog- aware application...
This paper introduces a methodology to design a Context-aware Adaptive System based on a layered software architecture. The model of the context awareness multi-modal traffic management takes into account the context parameters in order to adapt dynamically the decisions (choice of the best transportation route). The efficiency of the proposed technique is validated through a case study including...
Current requirements elicitation techniques do not deal with an essential part of context awareness: comprehension of the relationships among the numerous contextual elements of a certain domain and how they can positively influence the user task. As a result, solution providers continuously miss the opportunity to delight users by identifying contextual behaviors that will lead to better recommendations...
With the giddy growth of the amount of the information data through constant interaction and sharing in daily life, the mobile Internet has shifted from the lack of information to information overload. How to satisfy readers' individual needs from the disorder and mixture data has become an urgent problem to be solved. This paper combines the context information into the recommended process, and constructs...
The size of data chunk diverges from 101 to 1010 bits. Generally, if a network carries in a way both of big size data and small size data, the performance is extremely degraded by the big size data. Then, we propose to select a wireless cell among of multiple cells by referring context information such as data size and user's situation such as moving velocity. Especially, we show the improvement on...
Pervasive computing offers environments in which user needs or tasks are fulfilled without demanding their attention. Context-aware service composition is a central aspect to achieving this, in which services are discovered and composed in response to context to meet user needs. Since pervasive computing environments are inherently dynamic and heterogeneous, context-aware service composition is a...
The demand of product design knowledge is complex and changeable, in order to solve the problem of how to efficiently obtain design knowledge demand, based on the analysis of context aware reasoning layer characteristics, constructs a context aware service system to obtain design knowledge needs. Bayesian method is used to design the knowledge category preference situation, and according to the characteristics...
Advanced networking technology and increasing information services have led to extensive interconnection between Building Automation Systems (BAS) communication protocols and Internet, which makes Fog computing service a potential solution for automation of building end devices. However, the connection to Internet and public networks increases significantly the risk of the BAS networks being attacked...
In this paper, we study a pattern-context-aware scheme for stereo pattern analysis.Depth and texture are chosen as two primary factors for the pattern-context- aware computing.We organize these patterns as a context to analyze.A knowledge-based inference system is built with human experience to model the correlation of the context and processing. The process for the pattern analysis could recognize...
Ambient intelligent services often need to be executed at computing devices whose computational resources are limited. To solve this problem, such services intensive tasks should be offloaded to cloud computing. However, there is a gap between access control models in ambient intelligent services and cloud computing, where the former tends to be context-dependent and the latter to be subject-based,...
The development of context-aware applications is a complex process that involves context management. A context life cycle implies 4 essential steps: context acquisition, context modeling, context reasoning and context dissemination [1]. In [2], we tackled the issue of context modeling and reasoning by proposing an approach based on Relational Concept Analysis (RCA) and Descriptive Logic (DL), respectively...
Flow state, as a psychological experience is one of important aspects in a learning environment. Involving a psychological experience as a context in a context aware personalized e-learning becomes very important. It is due to that engagement and interest in a learning process are determined by its psychological conditions. However, development of a model personalized context aware e-learning by considering...
Context is information that utilized to characterize the situation of an entity inside a building. In this paper, we propose a model for context representation of real world building energy usage. This model applied to achieve intelligent building energy aware (IBEA). Intelligent Building Energy Aware (IBEA) aims to manage electrical load while attains room comfort in the building using context-aware...
The main aim of image compression is to transmit the images to distinct regions with reduced image quality degradation over a network environment. In this research, even though highly efficient image compression schemes are presented with high feasibility and low cost, the basic motive cannot be overwhelmed. Hence, the strong reason for image compression is the transmission of images without or with...
Recently, interaction with computer applications in a pervasive environment has increasingly benefited from mobile technologies. These technologies generally attributed to the environments of physical and social properties. Therefore, the adoption of these technologies ensures more flexibility and creates new forms of use. The consideration of the context of use in pervasive interactive applications...
Ambient Intelligence environments are populated with embedded distributed devices interacting in proactively and in transparent manner to achieve user's needs. Context and context awareness is crucial for any AmI based systems. To develop context-aware Ambient Intelligence systems, suitable context models, and reasoning approaches are necessary to provide users with smart services. This paper advocates...
Offloading context-aware services with intensive tasks to cloudcomputing infrastructures is useful. However, we have a problemresulting from differences between context-centric access controlmodels for pervasive computing and subject-based access control modelsfor cloud computing. To solve this problem, this paper proposes alocation model for spatially specifying containment relationships ofpersons,...
People use reminders to recall tasks to-do. But sophisticated enough tools are unavailable. Context-Awareness in mobile computing is more engaging area in gathering information about the user's current situation and would be ideal to integrate with the reminders to generate context-aware reminder where rich context is used to identify when a reminder should be presented to its recipient. Here we have...
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