Cloud computing introduces a fundamental shift in service delivery. A market registry, flexibility, exchangeability and integration of services are important issues for its success. In this work we introduce a unified...
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Predefined automatically applicable composite operations such as refactorings are a prerequisite for efficient software modeling. Some modeling environments provide an initial set of basic refactorings, but they hardl...
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Predefined automatically applicable composite operations such as refactorings are a prerequisite for efficient software modeling. Some modeling environments provide an initial set of basic refactorings, but they hardly offer extension points for user-specified refactorings. Even if extension points exist, the introduction of new refactorings requires programming skills and deep knowledge of the respective metamodel of the used modeling language. We present EMF Modeling Operations, a Java™ based framework for specifying and executing composite operations within the user's modeling language and editor of choice. The user demonstrates a composite operation on a concrete example from which a generic and executable operation specification is semi-automatically derived. Furthermore, we show how the resulting specification may be used to enable an a-posteriori detection of applications of the specified operations between two successive versions of a model, also in absence of a directly recorded change log.
Rehabilitation for chronic pain follows a multidisciplinary approach, which despite the effort, often lacks the long term success and patients often fail to translate the skills learned in therapy to every day life. S...
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Kalman filtering is very efficient for data fusion, in which the definition of the process and measurement noises (i.e. the matrices Q and R, respectively) greatly influences the filter performance. In recent years se...
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ISBN:
(纸本)9781617827358
Kalman filtering is very efficient for data fusion, in which the definition of the process and measurement noises (i.e. the matrices Q and R, respectively) greatly influences the filter performance. In recent years several studies reported that adjustments of Q and R can be helpful to reduce the errors of the estimations. In this paper, various methods for making adjustments to the matrices Q and R are introduced for the particular case of Personal Positioning systems (PPS). The aim is to observe the improvements achieved in an extended Kalman filter when adaptive methods are applied, in other words to observe their influence on the user's path obtained. These adjustments are considered to be needed because environmental conditions in such systems are often not fixed. The methods to be analyzed are: (1) the weighted Kalman filter;(2) scaling matrix Q (3) adjustments of Q and R based on sequence-innovation;and (4) a combination of the method (2) and (3), i.e. Q is estimated by applying a scale factor and adjustments to R are realized in accordance with the method (3). Given that the filter may diverge, we use the χ2 test to evaluate validity of the estimations, which is based on the analysis of the innovations. Individual components of the innovation vector are evaluated in order to correct or eliminate wrong information for data fusion. The PPS is based on the Dead Reckoning (DR) algorithm. The errors of the DR parameters are estimated with an Extended Kalman Filter (EKF), which combines the measurements of a GPS and an inertial measurement unit (IMU). The results show that each method allows us to obtain consistent Kalman filtering and they help to obtain better user's trajectories, but additional techniques and/or technologies should be used.
In many application areas, analysts have to make sense of large volumes of multivariate time-series data. Explorative analysis of this kind of data is often difficult and overwhelming at the level of raw data. Tempora...
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It is generally acknowledged in visualization research that it is necessary to evaluate visualization artifacts in order to provide empirical evidence on their effectiveness and efficiency as well as their usability a...
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E-health allows better communication between health care providers and higher availability of medical data. However, the downside of interconnected systems is the increased probability of unauthorized access to highly...
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The process of selection, configuration and consumption of tourist information services is a complex task for the user. This is not least since existing tools most often focus on supporting either the pre- or post-tri...
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The process of selection, configuration and consumption of tourist information services is a complex task for the user. This is not least since existing tools most often focus on supporting either the pre- or post-trip phase or the on-trip phase itself by providing context-aware services. The goal of this thesis is to establish a framework that makes pre-trip services context-aware, thus reducing the gap between the pre-trip and on-trip phase by providing a single point of access. This is done by facilitating service selection and configuration in the pre-trip phase and context-aware service consumption in the on-trip phase. Its applicability and feasibility will be proved by a working prototype and evaluated through field studies.
With the introduction of fUML, an OMG standard defining the operational semantics of a subset of UML and the conforming virtual machine, UML models can be used not only for informal design sketching but also for compl...
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The integration of governance, risk, and compliance (GRC) activities has gained importance over the last years. This paper presents an analysis of the GRC integration efforts in information technology departments of t...
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