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Bayesian nonparametric (BNP) models have recently become popular due to their flexibility in identifying the unknown number of clusters. However, they have difficulties handling heterogeneous data from multiple sources. Existing BNP methods either treat each of these sources independently - hence do not get benefits from the correlating information between them, or require to explicitly specify data...
For smart home researchers, it is essential to test activity recognition algorithms with various sets of sensory data. However, diverse sensory datasets are not always available due to several constraints, including limited budgets. Consequently, smart home simulators have recently grown in importance. However, there is still a need for realistic synthetic sensory data. This paper presents a simulator,...
Context-awareness has been quite a hotspot in both academia and business community for the past few years all over the world. The context data has the feature of diversity, therefore, the effective methodology to extract useful information from large-scale data set should be provided, which can support intelligence of human-computer interactive. By analyzing the existing technology, the Context-aware...
One of the personalized service in the ubiquitous For establishing real u-health environments, it is necessary to receive the context information obtained from various platforms at proper time in portable devices, which are operated in both wire and wireless communication. And, a knowledge model that reflects the information and characteristics for such services while it is appropriate for medical...
Currently, modeling and simulation systems have not gotten rid of “computer-centric” and “desktop computing” pattern. The new pattern of simulation of combing physical space with cyberspace can be realized by bringing pervasive technologies into simulation systems. Aiming at the characteristic and requirement of pervasive simulation, the pervasive simulation architecture based on Multi-Agent system...
Interest in Context Awareness is gaining ground in both Academic and Industrial communities. Most context information is provided by sensor networks. However, there is always a delay between the collection of the data and the usage of the information. In this paper, we developed a generic decay model for sensor information. The model contains an information-specific function and several parameters...
A lot of semantic information is lost due to keyword centric approach of information indexing. Web search should be based on `context' of the query and not only on the keywords in query. It is only possible when a context from a query as well as document is sensed and which requires a context based indexing approach. A model for contextual indexing has been proposed which will try to find direct and...
The advances in distributed sensing and wireless communication enable pervasive home applications which are quit information-rich. Hereby the integrated access and management of heterogeneous information becomes an increasingly important research topic. Moreover recent popularity and advances in visual aids (Google maps, 3D computer graphics, PS games, etc.) call for the more attractively intuitive...
The role of context for better decision-making has been a topic of significant research effort over the years. Context-aware systems are able to adapt their operations to the current context without explicit user intervention and thus aim at increasing usability and effectiveness by taking environmental context into account. These systems exploit information about the context of use, such as the location,...
Context data-driven approach refers to the process of collecting and storing context data from a wide range of context sources as sensors and Web services. This approach differs from existing context-aware applications, where context models and applications are closely related and ignore how the context is derived from sources and interpreted. In this paper, we propose a context data model based on...
Reliable recognition of activities from cluttered sensory data is challenging and important for a smart home to enable various activity-aware applications. In addition, understanding a user's preferences and then providing corresponding services is substantial in a smart home environment. Traditionally, activity recognition and preference learning were dealt with separately. In this work, we aim to...
This paper proposes a context aware and fuzzy rule data mining model for enterprise supply chain finance cooperative system that interacts with bank, buyer and supplier. It consists of three main components. The first component is the model for enterprise supply chain finance cooperative systems with cooperative agents serving as the simulation representatives of bank, buyer and supplier communicating...
It is sometimes necessary to operate on data having different sets of attributes. It can be caused by the fact that the data come from different sources or that we collected different amount of information about different real-world entities. In such cases a unification of the data to be stored into tables causes either data loss or too frequent changes in the table/database layout. Therefore we propose...
The current Internet, while successful in many aspects, has a set of associated architectural and business problems that threaten its stability and inhibit new advances, such as seamlessly supporting ubiquitous computing applications. This paper proposes a set of autonomic mechanisms that can manage the future Internet. The context-aware governance features of this approach are particularly suitable...
New medical devices and services enabling citizenpsilas health care anywhere and anytime are expected in the near future. However, to become a reality these devices must be supported by personalized services which satisfy user needs. In this paper we propose a general approach to manage the complexity of ambiguously related information for providing enhanced, user-specific services in the self-care...
Context-aware applications rely on models of the physical world. Within the Nexus project, we envision a World Wide Space which provides the conceptual and technological framework for integrating and sharing such context models in an open, global platform of context providers. In our ongoing research we tackle important challenges in such a platform including distributed processing of streamed context...
Ubiquitous (or smart) healthcare applications envision sensor rich computing and networking environments that can capture various types of contexts of patients (or inhabitants of the environment), such as their location, activities and vital signs. Such context information is useful in providing health related and wellness management services in an intelligent way so as to promote independent living...
Context-aware applications are those able to adapt their operations to the current context, without explicit user intervention. Since more and more applications collaborate to adapt their behavior to the same context, providing users with more appropriate service, it is necessary to take context sharing into account. In this paper, a framework named FRASCS is presented to dispose this problem. This...
Due to increasing anticipated average life and health expenditure ambient assisted living (AAL) systems attract the attention of researchers. To successfully build and deploy AAL systems knowledge from different fields of computer science is needed: pervasive computing to gain the raw data, machine learning and pattern recognition to interpret these data and HCI knowledge to allow implicit interaction...
The contribution of this paper is a novel service architecture for facilitating the development of context-aware applications in heterogeneous distributed environments. The requirements, architecture and functional validation of the architecture are contributed. The research problem addressed in the paper is dynamic acquisition and representation of context information and its efficient provisioning...
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