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Institute
- Fachbereich 4 (298) (remove)
A trending topic in Semantic Web research deals with the processing of queries over Linked Open Data (LOD). As has been shown in literature, the loose nature of the "web of data" and data sources within can be accounted for by employing federated query processing strategies. This approach, however, is all the more dependent on both up-to-date statistical summaries (data statistics) of the sources in use and accurate and precise estimation of cardinalities and selectivities. In general, federated data sources are to be seen as black-boxes w.r.t. data statistics, as no interchange of such information can be expected. Because of this, it is possible for individual data statistics to become obsolete, if the corresponding source is subjected to data changes cumulating over time. In this thesis an adaptive system is being proposed, that complements a given RDF-based query federator. Through observation and analysis of the error of the cardinality estimation of incoming queries, it tries to infer the obsolescence of individual data statistics, triggering updates of data statistics found to be obsolete. An evaluation of the system shows, that the approach to this solution is plausible. Yet, in practice no satisfying results could be acquired, that would prove a true practicality. Still, parts of the system proposed may be re-used for related tasks that could be more promising.
Magnetic resonance (MR) tomography is an imaging method, that is used to expose the structure and function of tissues and organs in the human body for medical diagnosis. Diffusion weighted (DW) imaging is a specific MR imaging technique, which enables us to gain insight into the connectivity of white matter pathways noninvasively and in vivo. It allows for making predictions about the structure and integrity of those connections. In clinical routine this modality finds application in the planning phase of neurosurgical operations, such as in tumor resections. This is especially helpful if the lesion is deeply seated in a functionally important area, where the risk of damage is given. This work reviews the concepts of MR imaging and DW imaging. Generally, at the current resolution of diffusion weighted data, single white matter axons cannot be resolved. The captured signal rather describes whole fiber bundles. Beside this, it often appears that different complex fiber configurations occur in a single voxel, such as crossings, splittings and fannings. For this reason, the main goal is to assist tractography algorithms who are often confound in such complex regions. Tractography is a method which uses local information to reconstruct global connectivities, i.e. fiber tracts. In the course of this thesis, existing reconstruction methods such as diffusion tensor imaging (DTI) and q-ball imaging (QBI) are evaluated on synthetic generated data and real human brain data, whereas the amount of valuable information provided by the individual reconstruction mehods and their corresponding limitations are investigated. The output of QBI is the orientation distribution function (ODF), where the local maxima coincides with the underlying fiber architecture. We determine those local maxima. Furthermore, we propose a new voxel-based classification scheme conducted on diffusion tensor metrics. The main contribution of this work is the combination of voxel-based classification, local maxima from the ODF and global information from a voxel- neighborhood, which leads to the development of a global classifier. This classifier validates the detected ODF maxima and enhances them with neighborhood information. Hence, specific asymmetric fibrous architectures can be determined. The outcome of the global classifier are potential tracking directions. Subsequently, a fiber tractography algorithm is designed that integrates along the potential tracking directions and is able to reproduce splitting fiber tracts.
Computers assist humans in many every-day situations. Their advancing miniaturisation broadens their fields of use and leads to an even higher significance and spread throughout society. Already, these small and powerful machines are wide-spread in every-day objects and the spread increases still as the mobility-aspect grows in importance. From laptops, smartphones and tables to systems worn on the body (wearable computing) or even inside the body as cyber-implants, these systems help humans actively and context-sensitively in the accomplishment of their every-day business.
A part of the wearable-computing-domain is taken up by the development of Head-mounted displays (HMD). These helmets or goggles feature one or more displays enabling their users to see computer-rendered images or images of their environment enriched with computer-generated information. At the moment, most of this HMD feature LC-Displays, but newer systems start appearing that allow the projection of the image onto the user's retina. Newest break-throughs in the field of study already produced contact lenses with an integrated display. The data shown by a HMD is compiled using a multitude of sensors, like a Head-Tracker or a GPS. Increasing computational performance and miniaturisation lead to a wide spread of HMD in a lot of fields.rnThe multiple scenarios in which a HMD can be used to help improve human-perception and -interaction led the "Institut für Integrierte Naturwissenschaften" of the University of Koblenz-Landau to come up with a HMD on the basis of Apple's iOS-devices featuring Retina Displays. The high pixel density of these displays combined with condensor lenses into a HMD offer a highly immersive environment for stereoscopic imagery, while other systems only display a relatively small image projected a few feet away of the user. Furthermore, the iPhone/ iPod Touch and iPad exhibit a lot of potential given by their variety of offered sensors and computational power. While producing a similarly feature-rich HMD is very costy, using simple iPod Touches 4th Gen as the basis of a HMD results in a very inexpensive solution with a high potential. The increasing popularity and spread of Apple devices would reduce the costs even more, as users of the HMD could simply integrate their device into the system. A software designed with the specific intent to support a large variety of Apple iOS-devices that could easily be extended to support newer devices, would allow for a universal use of such a HMD-solution as the new device could simply replace an old device.rnrnThe focus of this thesis is the conception and development of an application designed for Apple's iOS 5 operating system that will be used in a HMD evolving around the use of Apple iOS-devices featuring Retina Displays. The Rollercoaster2000-project depicting a ride in a virtual rollercoaster will be used as the application's core. A server will syncronize the display of clients conntected to it which are combined to form a HMD. Furthermore the gyroscope of the iOS-devices combined into a HMD will be used to track the wearer's head-movements. Another feature will be the use of the devices cameras as a mean of orientation while wearing the HMD.
As a first step in the realization of a software meeting the set specifications is the introduction of the Objective-C programming languages used to develop iOS-Applications. In conjunction with the compiler and runtime environment, Objective-C makes up the base of the second step, the introduction of the iOS-SDK. Aimed with this iOS-app-development-knowledge, the last part of the thesis consists of the ascertainment of requirements and development of a software complying to the goals of a software written specifically for the used in a HMD.
Procedural content generation, the generation of video game content using pseudo-random algorithms, is a field of increasing business and academic interest due to its suitability for reducing development time and cost as well as the possibility of creating interesting, unique game spaces. Although many contemporary games feature procedurally generated content, the author perceived a lack of games using this approach to create realistic outer-space game environments, and the feasibility of employing procedural content generations in such a game was examined. Using current scientific models, a real-time astronomical simulation was developed in Python which generates star and planets object in a fictional galaxy procedurally to serve as the game space of a simple 2D space exploration game where the player has to search for intelligent life.
This thesis addresses the implementation of a particle simulation of an explosion. The simulation will be displayed via ray tracing in near real time. The implementation makes use of the openCL standard. The focus of research in this thesis is to analyse the performance of this combination of components.
Web-programming is a huge field of different technologies and concepts. Each technology implements a web-application requirement like content generation or client-server communication. Different technologies within one application are organized by concepts, for example architectural patterns. The thesis describes an approach for creating a taxonomy about these web-programming components using the free encyclopaedia Wikipedia. Our 101companies project uses implementations to identify and classify the different technology sets and concepts behind a web-application framework. These classifications can be used to create taxonomies and ontologies within the project. The thesis also describes, how we priorize useful web-application frameworks with the help of Wikipedia. Finally, the created implementations concerning web-programming are documented.
The paper deals with a specific introduction into probability propagation nets. Starting from dependency nets (which in a way can be considered the maximum information which follows from the directed graph structure of Bayesian networks), the probability propagation nets are constructed by joining a dependency net and (a slightly adapted version of) its dual net. Probability propagation nets are the Petri net version of Bayesian networks. In contrast to Bayesian networks, Petri nets are transparent and easy to operate. The high degree of transparency is due to the fact that every state in a process is visible as a marking of the Petri net. The convenient operability consists in the fact that there is no algorithm apart from the firing rule of Petri net transitions. Besides the structural importance of the Petri net duality there is a semantic matter; common sense in the form of probabilities and evidencebased likelihoods are dual to each other.
This paper critically examines the Google Calendar. For this purpose, the offered functions of the core product are studied on privacy aspects. On one hand, it is identified, to which extent the product could infringe the users" privacy, on the other accuring risks are discussed. Furthermore, the functions in terms of their use for both, the service provider Google and for the user, are considered. A detailed analysis demonstrates the critical aspects, in which we have to decide between privacy and functionality. The identified solutions to minimize discussed risks of IT security mechanisms, are presented, discussed and analyzed in terms of their feasibility. Afterwards the individual solutions are summarized in a security concept and other requirements are explained. Finally, a Firefox-Addon which implements the described solution concept should be created, to resolve the existing weaknesses to the best of its ability. Ultimately, the functionality of the addon with technical implementation is illustrated in detail.
In this master thesis some new helpful features will be added to the Spanning Tree Simulator. This simulator was created by Andreas Sebastian Janke in his bachelor thesis [Jan10b] in 2010. It is possible to visualize networks which are defined in a configuration file. Each of them is a XML representation of a network consisting of switches and hosts. After loading such a file into the program it is possible to run the Spanning Tree Algorithm IEEE 802.1D. In contrast to the previous version only the switches are implemented as threads. When the algorithm is finished a spanning tree is built. This means, that messages cannot run into loops anymore. This is important because loops can cause a total breakdown of the communication in a network, if the running routing protocols cannot handle loops.
Large and unknown data sets can be easily and systematically discovered by using faceted search. If implementing applications for smartphones, it needs to be considered that unlike desktop applications you can only use smaller screen sizes and there are limited possibilities for interaction between user and smartphone. These limitations can negatively influence the usability of an application. With FaThumb and MobileFacets, two mobile applications exist, which implement and use faceted search, although only MobileFacets is designed for current smartphones with touchscreen. However, FaThumb provides a novel facet navigation, which is newly realized in MFacets for present smartphones within this work.
Moreover, this work deals with the performance of a summative evaluation between both applications, MFacets and MobileFacets, with regards to usability and presents the evaluated results.
Particle swarm optimization is an optimization technique based on simulation of the social behavior of swarms.
The goal of this thesis is to solve 6DOF local pose estimation using a modified particle swarm technique introduced by Khan et al. in 2010. Local pose estimation is achieved by using continuous depth and color data from a RGB-D sensor. Datasets are aquired from different camera poses and registered into a common model. Accuracy and computation time of the implementation is compared to state of the art algorithms and evaluated in different configurations.
Development of an Android Application for the Recognition and Translation of Words in Camera Scenes
(2012)
This bachelor- thesis describes the conception and implementation of a translation software for the Android platform. The specific feature of the software is the independent text recognition based on the view of the camera. This approach aims to enhance and accelerate the process of translation in certain situations. After an introduction into text recognition, the underlying technologies and the operation system Android useful applications are described. Then the concept of the software is created and the implementation examined. Finally an evaluation is conducted to identify strengths and weaknesses of the software.
Die vorliegende Fallstudie entstand als Untersuchungsobjekt zu einer Bachelorarbeit und wurde nach der eXperience Fallstudienmethodik erstellt. Ziel der Bachelorarbeit war die Identifizierung von Nutzenaspekten in diesem konkreten Fall. Im Anwenderunternehmen DOCHOUSE wurde hier eine Schnittstelle zwischen dem internen CRM-System und einem kollaborativen System für den externen Zugriff eingeführt.
Ein besonderer Dank geht in diesem Zusammenhang an Herr Wolfgang Brugger (Geschäftsführer DOCHOUSE GmbH), der die Erstellung der Fallstudie motiviert hat und die FG BAS mit deren Durchführung betraute. Die Fallstudie wurde im Winter 2011 von dem Studenten Martin Surrey und Roland Diehl, wissenschaftlicher Mitarbeiter der Forschungsgruppe, erhoben.
The Multimedia Metadata Ontology (M3O) provides a generic modeling framework for representing multimedia metadata. It has been designed based on an analysis of existing metadata standards and metadata formats. The M3O abstracts from the existing metadata standards and formats and provides generic modeling solutions for annotations, decompositions, and provenance of metadata. Being a generic modeling framework, the M3O aims at integrating the existing metadata standards and metadata formats rather than replacing them. This is in particular useful as today's multimedia applications often need to combine and use more than one existing metadata standard or metadata format at the same time. However, applying and specializing the abstract and powerful M3O modeling framework in concrete application domains and integrating it with existing metadata formats and metadata standards is not always straightforward. Thus, we have developed a step-by-step alignment method that describes how to integrate existing multimedia metadata standards and metadata formats with the M3O in order to use them in a concrete application. We demonstrate our alignment method by integrating seven different existing metadata standards and metadata formats with the M3O and describe the experiences made during the integration process.
Standards are widely-used in the computer science and IT industry. Different organizations like the International Organization for Standardization (SO) are involved in the development of computer related standards. An important domain of standardization is the specification of data formats enabling the exchange of information between different applications. Such formats can be expressed in a variety of schema languages thereby defining sets of conformant documents. Often the use of multiple schema languages is required due to their varying expressive power and different kind of validation requirements.rnThis also holds for the Specification Common Cartridge which is maintained by the IMS Global Learning Consortium. The specification defines valid zip packages that can be used to aggregate different learning objects. These learning objects are represented by a set of files which are a part of the package and can be imported into a learning management system. The specification makes use of other specifications to constrain the contents of valid documents. Such documents are expressed in the eXtensible Markup Language and may contain references to other files also part of the package. The specification itself is a so-called domain profile. A domain profile allows the modification of one or more specifications to meet the needs of a particular community. Test rules can be used to determine a set of tasks in order to validate a concrete package. The execution is done by a testsystem which, as we will show, can be created automatically. Hence this method may apply to other package based data formats that are defined as a part of a specification.
This work will examine the applicability of this generic test method to the data formats that are introduced by the so called Virtual Company Dossier. These formats are used in processes related to public e-procurement. They allow the packaging of evidences that are needed to prove the fulfillment of criteria related to a public tender. The work first examines the requirements that are common to both specifications. This will introduce a new view on the requirements by introducing a higher level of abstraction. The identified requirements will then be used to create different domain profiles each capturing the requirements of a package based data format. The process is normally guided by supporting tools that ease the capturing of a domain profile and the creation of testsystems. These tools will be adapted to support the new requirements. Furtheron the generic testsystem will be modified. This system is used as a basis when a concrete testsystem is created.
Finally the author comes to a positive conclusion. Common requirements have been identified and captured. The involved systems have been adapted allowing the capturing of further types of requirements that have not been supported before. Furthermore the background of the specifications quite differ. This indicates that the use of domain profiles and generic test technologies may be suitable in a wide variety of other contexts.
In automated theorem proving, there are some problems that need information on the inequality of certain constants. In most cases this information is provided by adding facts which explicitly state that two constants are unequal. Depending on the number of constants, a huge amount of this facts can clutter the knowledge base and distract the author and readers of the problem from its actual proposition. For most cases it is save to assume that a larger knowledge base reduces the performance of a theorem prover, which is another drawback of explicit inequality facts. Using the unique name assumption in those reasoning tasks renders the introduction of inequality facts obsolete as the unique name assumptions states that two constants are identical iff their interpretation is identical. Implicit handling of non-identical constants makes the problems easier to comprehend and reduces the execution time of reasoning. In this thesis we will show how to integrate the unique name assumption into the E-hyper tableau calculus and that the modified calculus is sound and complete. The calculus will be implemented into the E-KRHyper theorem prover and we will show, by empiric evaluation, that the changed implementation, which is able to use the unique name assumption, is superior to the traditional version of E-KRHyper.
Regarding the rapidly growing amount of data produced every year and the increasing acceptance of Enterprise 2.0 enterprises have to care about the management of their data more and more. Content created and stored in an uncoordinated manner can lead to data-silos (Williams & Hardy 2011, p.57), which result in long search times, inaccessible data and in consequence monetary losses. The "expanding digital universe" forces enterprises to develop new archiving solutions and records management policies (Gantz et al. 2007, p.13). Enterprise Content Management (ECM) is the research field that deals with these challenges. It is placed in the scientific context of Enterprise Information Management. This thesis aims to find out to what extent current Enterprise Content Management Systems (ECMS) support these new requirements, especially concerning the archiving of Enterprise 2.0 data. For this purpose, three scenarios were created to evaluate two different kinds of ECMS (one Open Source - and one proprietary system) chosen on the basis of a short marketrnresearch. The application of the scenarios reveals that the system vendors actually face the industry- concerns: both tools provide functionality for the archiving of data arising from online collaboration and also business records management capabilities but the integration of those topics is not, or is only inconsistently solved. At this point new questions - such as, "Which datarngenerated in an Enterprise 2.0 is worth being a record?" - arise and should be examined in future research.
Dualizing marked Petri nets results in tokens for transitions (t-tokens). A marked transition can strictly not be enabled, even if there are sufficient "enabling" tokens (p-tokens) on its input places. On the other hand, t-tokens can be moved by the firing of places. This permits flows of t-tokens which describe sequences of non-events. Their benefiit to simulation is the possibility to model (and observe) causes and effects of non-events, e.g. if something is broken down.
Die Messung der Produktivität von Dienstleistungen ist trotz zunehmender Relevanz immer noch ein wenig durchdrungenes Forschungsfeld. Ursachen hierfür sind vor allem in den besonderen Merkmalen von Dienstleistungen - Immaterialität und Integrativität - zu suchen. Eine typische Dienstleistung der B2B Softwarebranche ist die Anpassung von Systemen an die Bedürfnisse des Kunden - das sogenannte Customizing. Die Ausschöpfung des Customizing-Potentials von Standardsoftware und -produkten und eine stärkere Einbeziehung des Kunden in Innovationsprozesse werden jedoch dadurch erschwert, dass die Produktivität dieser Dienstleistung nur unzureichend mess- und somit bewertbar zu sein scheint.
Der vorliegende Beitrag beschreibt die Entwicklung eines Modells zur Messung der Produktivität von Dienstleistungen auf der Basis unterschiedlicher Vorstudien im Rahmen des CustomB2B Projektes an der Universität Koblenz-Landau.
Cloud-Computing ist aktuell ein besonderer Trend in der IT-Branche. ERP-Systeme sind in den heutigen Unternehmen ebenfalls nicht mehr wegzudenken. Durch die Analyse ausgewählter Literatur wird aufgezeigt, dass Cloud-Computing als Betriebsmodell für ERP-Systeme besonderer Untersuchung bedarf, da beim Zusammenspiel dieser Technologien noch unterschiedliche Herausforderungen geklärt werden müssen. Darauf aufbauend werden mit Hilfe von drei verschiedenen Praxispartnern Fallstudien zu deren Cloud-ERP-Lösungen erstellt, um in einem nächsten Schritt die theoretische Literatur mit den praktischen Ergebnissen zu vergleichen.
Ziel dieser Arbeit ist es mit Hilfe der Forschungsfragen, differenzierte Nutzenaspekte von Cloud-ERP-Lösungen aufzudecken und zu erklären, wie die Theorie mit praktischen Erfahrungswerten von Experten übereinstimmt. Durch die Fallstudien wird deutlich, dass sich die drei unterschiedlichen Cloud-ERP-Anbieter vor allem durch den Umfang ihrer Software und die Unternehmensgrößen der Zielgruppen im Markt differenzieren. Zusätzlich zeigt sich im Analyseteil und Fazit der Arbeit, dass über die in der Theorie identifizierten Nutzenaspekte hinaus, zusätzliche Nutzenaspekte durch die Kombination von Cloud-ERP-Lösungen generiert werden können und dass es aktuell schon eine spezielle Zielgruppe für Cloud-ERP-Lösungen gibt. Für die Zukunft bleibt abzuwarten, wie sich der Cloud-ERP-Markt weiterentwickeln wird und welche weiteren Funktionalitäten in die Cloud ausgelagert werden können, sodass sich On-Demand ERP-Systeme zu einer Konkurrenz von On-Premise-Lösungen entwickeln können.