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Context-aware monitoring is an emerging technology that provides real-time personalised health-care services and a rich area of big data application. In this paper, we propose a knowledge discovery-based approach that allows the context-aware system to adapt its behaviour in runtime by analysing large amounts of data generated in ambient assisted living (AAL) systems and stored in cloud repositories...
Intelligent Knowledge as a Service (iKaaS) is an ambitious project aiming at integrating sensor management using Internet of Things (IoT) and cloud services by employing sensor data. The platform design covers self-healing functions based on self-awareness as well as basic functions such as inter-cloud, security/privacy management, and devices and data management. From the viewpoint of application...
Design and development of context-aware Information Systems (ISs) is particularly complex, owing to the increasing dependency of people on computing support for making simple decisions or performing their daily tasks. Thus, the need of designing more attractive, adaptable and proactive systems is persistent. In this paper, we present a state of the art of context-aware approaches that are compared...
Context Management Framework (CMF) for Ubiquitous Health (U-Health) Systems should be able to continuously gather raw data from observed entities to characterize their current situation (context). However, the death of battery-dependent sensors reduce their ability for detecting the context, which directly affects the availability of context-aware u-health services. This paper proposes the use of...
Since a real-life environment may encounter various uncertainties due to its dynamic nature, a smart-home system needs to improve its adaptability in response to the inevitable uncertainties. In this regard, a multi-transfer framework was proposed to keep context models adaptable in order to reduce the efforts in retraining context models in the event of an uncertainty. The framework is used to transfer...
Over the last decade, contextual modeling has gained on importance due to the wide spread introduction of ubiquitous and mobile computing. Common to these systems is that they integrate contextual information to improve situated cognition and awareness as well as stakeholders' usage experience with these systems. While domains such as the next generation of the Web - Web 3.0, which shares many commonalities...
Sensor-rich Context Management Frameworks (CMF) for Ubiquitous Systems should be able to continuously gather raw data from observed entities in order to characterize the current situation. However, the death of independent sensors and monitoring platform reduce the ability of CMF for detecting the current situation, which directly affects the availability of context-aware applications/services. This...
In many web information systems like e-shops and information portals predictive modeling is used to understand user intentions based on their browsing behavior. User behavior is inherently sensitive to various contexts. Identifying such relevant contexts can help to improve the prediction performance. In this work, we propose a formal approach in which the context discovery process is defined as an...
Sensor-rich Context Management Frameworks (CMF) for Ubiquitous Systems should be able to continuosly gather raw data from observed entities (e.g., people, surround enviroment) in order to characterize the current situation (i.e., context). However, the energy of sensors can end up, which reduce the ability of CMF for detecting the current situation, directly affecting the availability of context-aware...
Modern buildings are equipped with multiple systems, which are dedicated to improve quality of living for inhabitants and to facilitate performance of daily duties for maintenance personnel. Yet the variety of the systems causes the bulky informational flow, which may result informational tense to the user, time lost and increase of errors. To make life comfortable in a smart house, the inhabitants...
In this paper we propose an enhancement of data integrity model. The proposed model is based on the idea of Biba integrity model but uses more elaborated integrity measurements. Since integrity can be seen as “trustworthiness of data and resources”, we propose to utilize trustworthiness opinions from subjective logic and express levels of integrity as levels of trustworthiness.
Automation industry is moving towards more complex systems which are posing new challenges for operation from both machine and human perspectives. A group of challenges is related to management of the overwhelming information flow and to usability of the systems, and context-aware solutions have been recently introduced to the automation field in order to cope with challenges of this kind. The context...
This research summary outlines results achieved by Hamburg University during its participation in the EU NoE “S-Cube” focusing on process instance migration. It includes corresponding results in the context of dynamic and mobile environments (as, e.g., provided by mobile web services, NFC-aware process execution, future-context-aware applications or interactive workflows) and focuses on the management...
This paper presents a light inference system for context management, ready to perform reasoning tasks in resource-constrained devices. The inference system is part of a service-oriented mobile software framework which runs on Javaenabled handheld devices. This framework serves to facilitate the creation of context-aware applications, as it decouples sensor's data acquisition and context processing...
The flexibility and self-organization properties of Wireless Mesh Networks (WMNs), and the benefits arising from the split of a physical network in several context-aware Virtual Networks (VNs), are a two-fold force to deal with the huge heterogeneity of user requirements and network resources in a future Internet architecture. In this scope, we provide a novel context-aware architecture for WMNs,...
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...
Seamless mobility has been described as providing collaborative mechanisms that enable a user to accomplish his or her tasks without regard to technology, type of media, or device. This paper examines how the FOCALE autonomic architecture, in conjunction with a novel understanding of the environment based on the integration of information models and ontologies, can realize these challenges.
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...
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