Filtern
Erscheinungsjahr
- 2011 (41) (entfernen)
Dokumenttyp
- Ausgabe (Heft) zu einer Zeitschrift (41) (entfernen)
Schlagworte
- computer clusters (4)
- Vorlesungsverzeichnis (3)
- parallel algorithms (3)
- artifcial neural networks (2)
- artificial neural networks (2)
- Authentifizierung (1)
- Cloud Computing (1)
- Datensicherheit (1)
- E-government (1)
- E-services (1)
- Enterprise Systems (1)
- Healthcare institution (1)
- IT Outsourcing (1)
- IT Services (1)
- Internet (1)
- Neuronales Netz (1)
- Onlinewahl (1)
- Personalausweis (1)
- Quality assessment system (1)
- Search engine (1)
- Website (1)
- Wechselkursänderung (1)
- activation functions of neurons (1)
- adaptive resonance theory (1)
- artiffficial neural networks (1)
- artififfcial neural networks (1)
- assessment model (1)
- blood analysis (1)
- business process management (1)
- classification (1)
- core ontologies (1)
- currency exchange rates (1)
- e-service (1)
- e-service quality (1)
- estimation of algorithm efficiency (1)
- gaze information (1)
- gradient method of training weight coefficients (1)
- image processing (1)
- image semantics (1)
- information system (1)
- knowledge work (1)
- mathematical model (1)
- methodology (1)
- mobile application (1)
- mobile facets (1)
- mobile phone (1)
- ontology (1)
- parallel calculations (1)
- regression analysis (1)
- scene analysis (1)
- social media (1)
- social object (1)
- social simulation (1)
- tagging (1)
- time series (1)
- tracking (1)
- web-portal medical e-services (1)
Cloud Computing is a topic that has gained momentum in the last years. Current studies show that an increasing number of companies is evaluating the promised advantages and considering making use of cloud services. In this paper we investigate the phenomenon of cloud computing and its importance for the operation of ERP systems. We argue that the phenomenon of cloud computing could lead to a decisive change in the way business software is deployed in companies. Our reference framework contains three levels (IaaS, PaaS, SaaS) and clarifies the meaning of public, private and hybrid clouds. The three levels of cloud computing and their impact on ERP systems operation are discussed. From the literature we identify areas for future research and propose a research agenda.
This paper describes results of the simulation of social objects, the dependence of schoolchildren's professional abilities on their personal characteristics. The simulation tool is the artificial neural network (ANN) technology. Results of a comparison of the time expense for training the ANN and for calculating the weight coefficients with serial and parallel algorithms, respectively, are presented.
An estimation of the number of multiplication and addition operations for training artififfcial neural networks by means of consecutive and parallel algorithms on a computer cluster is carried out. The evaluation of the efficiency of these algorithms is developed. The multilayer perceptron, the Volterra network and the cascade-correlation network are used as structures of artififfcial neural networks. Different methods of non-linear programming such as gradient and non-gradient methods are used for the calculation of the weight coefficients.
This paper describes a parallel algorithm for selecting activation functionsrnof an artifcial network. For checking the efficiency of this algorithm a count of multiplicative and additive operations is used.
In diesem Arbeitsbericht werden zuvor nicht identifizierte Bedrohungen bezüglich des Wahlgeheimnisses des in [BKG11] vorgeschlagenen Konzeptes zur Authentifizierung von Wählern bei elektronischen Wahlen mittels des neuen Personalausweises aufgezeigt. Überdies wird mit der Einführung einer zwischengelagerten Anonymisierungsschicht eine Lösung vorgeschlagen, wie eben diese Bedrohungen abgewehrt werden können.
Expert-driven business process management is an established means for improving efficiency of organizational knowledge work. Implicit procedural knowledge in the organization is made explicit by defining processes. This approach is not applicable to individual knowledge work due to its high complexity and variability. However, without explicitly described processes there is no analysis and efficient communication of best practices of individual knowledge work within the organization. In addition, the activities of the individual knowledge work cannot be synchronized with the activities in the organizational knowledge work.rnrnSolution to this problem is the semantic integration of individual knowledgernwork and organizational knowledge work by means of the patternbased core ontology strukt. The ontology allows for defining and managing the dynamic tasks of individual knowledge work in a formal way and to synchronize them with organizational business processes. Using the strukt ontology, we have implemented a prototype application for knowledge workers and have evaluated it at the use case of an architectural fifirm conducting construction projects.
We present a non-linear camera pose estimator, which is able to handle a combined input of point and line feature correspondences. For three or more correspondences, the estimator works on any arbitrary number and choice of the feature type, which provides an estimation of the pose on a preferably small and flexible amount of 2D-3D correspondences. We also give an analysis of different minimization techniques, parametrizations of the pose data, and of error measurements between 2D and 3D data. These will be tested for the usage of point features, lines and the combination case. The result shows the most stable and fast working non-linear parameter set for pose estimation in model-based tracking.
Towards Improving the Understanding of Image Semantics by Gaze-based Tag-to-Region Assignments
(2011)
Eye-trackers have been used in the past to identify visual foci in images, find task-related image regions, or localize affective regions in images. However, they have not been used for identifying specific objects in images. In this paper, we investigate whether it is possible to assign image regions showing specific objects with tags describing these objects by analyzing the users' gaze paths. To this end, we have conducted an experiment with 20 subjects viewing 50 image-tag-pairs each. We have compared the tag-to-region assignments for nine existing and four new fixation measures. In addition, we have investigated the impact of extending region boundaries, weighting small image regions, and the number of subjects viewing the images. The paper shows that a tag-to-region assignment with an accuracy of 67% can be achieved by using gaze information. In addition, we show that multiple regions on the same image can be differentiated with an accuracy of 38%.
We present the user-centered, iterative design of Mobile Facets, a mobile application for the faceted search and exploration of a large, multi-dimensional data set of social media on a touchscreen mobile phone. Mobile Facets provides retrieval of resources such as places, persons, organizations, and events from an integration of different open social media sources and professional content sources, namely Wikipedia, Eventful, Upcoming, geo-located Flickr photos, and GeoNames. The data is queried live from the data sources. Thus, in contrast to other approaches we do not know in advance the number and type of facets and data items the Mobile Facets application receives in a specific contextual situation. While developingrnMobile Facets, we have continuously evaluated it with a small group of fifive users. We have conducted a task-based, formative evaluation of the fifinal prototype with 12 subjects to show the applicability and usability of our approach for faceted search and exploration on a touchscreen mobile phone.