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The Web contains some extremely valuable information; however, often poor quality, inaccurate, irrelevant or fraudulent information can also be found. With the increasing amount of data available, it is becoming more and more difficult to distinguish truth from speculation on the Web. One of the most, if not the most, important criterion used to evaluate data credibility is the information source, i.e., the data origin. Trust in the information source is a valuable currency users have to evaluate such data. Data popularity, recency (or the time of validity), reliability, or vagueness ascribed to the data may also help users to judge the validity and appropriateness of information sources. We call this knowledge derived from the data the provenance of the data. Provenance is an important aspect of the Web. It is essential in identifying the suitability, veracity, and reliability of information, and in deciding whether information is to be trusted, reused, or even integrated with other information sources. Therefore, models and frameworks for representing, managing, and using provenance in the realm of Semantic Web technologies and applications are critically required. This thesis highlights the benefits of the use of provenance in different Web applications and scenarios. In particular, it presents management frameworks for querying and reasoning in the Semantic Web with provenance, and presents a collection of Semantic Web tools that explore provenance information when ranking and updating caches of Web data. To begin, this thesis discusses a highly exible and generic approach to the treatment of provenance when querying RDF datasets. The approach re-uses existing RDF modeling possibilities in order to represent provenance. It extends SPARQL query processing in such a way that given a SPARQL query for data, one may request provenance without modifying it. The use of provenance within SPARQL queries helps users to understand how RDF facts arederived, i.e., it describes the data and the operations used to produce the derived facts. Turning to more expressive Semantic Web data models, an optimized algorithm for reasoning and debugging OWL ontologies with provenance is presented. Typical reasoning tasks over an expressive Description Logic (e.g., using tableau methods to perform consistency checking, instance checking, satisfiability checking, and so on) are in the worst case doubly exponential, and in practice are often likewise very expensive. With the algorithm described in this thesis, however, one can efficiently reason in OWL ontologies with provenance, i.e., provenance is efficiently combined and propagated within the reasoning process. Users can use the derived provenance information to judge the reliability of inferences and to find errors in the ontology. Next, this thesis tackles the problem of providing to Web users the right content at the right time. The challenge is to efficiently rank a stream of messages based on user preferences. Provenance is used to represent preferences, i.e., the user defines his preferences over the messages' popularity, recency, etc. This information is then aggregated to obtain a joint ranking. The aggregation problem is related to the problem of preference aggregation in Social Choice Theory. The traditional problem formulation of preference aggregation assumes a I fixed set of preference orders and a fixed set of domain elements (e.g. messages). This work, however, investigates how an aggregated preference order has to be updated when the domain is dynamic, i.e., the aggregation approach ranks messages 'on the y' as the message passes through the system. Consequently, this thesis presents computational approaches for online preference aggregation that handle the dynamic setting more efficiently than standard ones. Lastly, this thesis addresses the scenario of caching data from the Linked Open Data (LOD) cloud. Data on the LOD cloud changes frequently and applications relying on that data - by pre-fetching data from the Web and storing local copies of it in a cache - need to continually update their caches. In order to make best use of the resources (e.g., network bandwidth for fetching data, and computation time) available, it is vital to choose a good strategy to know when to fetch data from which data source. A strategy to cope with data changes is to check for provenance. Provenance information delivered by LOD sources can denote when the resource on the Web has been changed last. Linked Data applications can benefit from this piece of information since simply checking on it may help users decide which sources need to be updated. For this purpose, this work describes an investigation of the availability and reliability of provenance information in the Linked Data sources. Another strategy for capturing data changes is to exploit provenance in a time-dependent function. Such a function should measure the frequency of the changes of LOD sources. This work describes, therefore, an approach to the analysis of data dynamics, i.e., the analysis of the change behavior of Linked Data sources over time, followed by the investigation of different scheduling update strategies to keep local LOD caches up-to-date. This thesis aims to prove the importance and benefits of the use of provenance in different Web applications and scenarios. The exibility of the approaches presented, combined with their high scalability, make this thesis a possible building block for the Semantic Web proof layer cake - the layer of provenance knowledge.
An assistance system has been developed for the purpuse of supporting the surgeon during the repositioning phase of intramedullary nailing of femural shaft fractures. As a basic principle the high forces generated by femural muscles and ligaments are taken by a linear sledge and a threaded rod. In order to move bone fragments directly Schanz screws are used as bone-machine interface. Two more Schanz screws are used for fine tuning orientation and position of the fragments according to the well known Joystick technique. The screws are fixed to two articulated arms, one passive and one fully robotic with manipulator. Thanks to the serial kinematic configuration of the system only minmal space of the surgeons working area gets occupied. Running a realtime operating system, the central control unit consits could be implemented as an embedded system comprising of a ARM Cortex-M0 microcontroller at it’s heart. This enables realtime computation and motor control of each joints value of the robotic arm using inverse kinematics. As inverse kinematics solver the iterative FABRIK algorithm was chosen. Serving as innovative and single user interface for the surgeon an optical force-torque sensor is used. The robotic arm always follows the surgeons motion when interacting with the sensor. Using the proposed demonstrator system a positioning resulution of <0,1mm could be accomplished. Thus by using the proposed solution during intramedullary nailing of femural shaft fractures a tremendous gain in positioning precision of bone fragments can be achieved. Furthermore a massive reduction of x-ray exposition of the surgeon is possible when applying the proposed approach. Also this approach enables the chance of cost reduction of femural fracture therapy due to reduction of needed time and staff.
Wahlordnung der örtlichen Studierendenschaft
der Universität Koblenz-Landau, Campus Landau
Ordnung zur Änderung der Einschreibeordnung für
die Universität Koblenz-Landau
Promotionsordnung des Fachbereichs 5: Erziehungswissenschaften
der Universität Koblenz-Landau
Erste Ordnung zur Änderung der Promotionsordnung
des Fachbereiches 6: Kultur- und Sozialwissenschaften
der Universität Koblenz–Landau
Änderungssatzung zur Satzung über die Festsetzung
von Zulassungszahlen an der Universität Koblenz-
Landau für das Studienjahr 2016/2017
Erste Ordnung zur Änderung der Ordnung für die
Eignungsprüfung Musik an der Universität Koblenz-
Landau
Siebzehnte Ordnung zur Änderung der Prüfungsordnung
für die Prüfung im lehramtsbezogenen Bachelorstudiengang
an der Universität Koblenz-
Landau
E-Learning Anwendungen sind heutzutage im Trend. Jedoch nicht nur aus diesem Grund sind sie vom großen Interesse. Im Vordergrund steht ihr didaktisches Konzept. Heutzutage ist es technisch möglich, die Teilnehmer interaktiv in einen
E- Learning Kurs einzubinden. Die Lernschritte können durch die Anwendung kontrolliert werden. Im Gegensatz zu einer Vorlesung, kann die Theorie direkt mit der Praxis verknüpft werden. Das Ziel der Arbeit ist die Erstellung eines Konzeptes und die Entwicklung eines Prototypen einer interaktiven Entwicklungsumgebung von Java für Programmieranfänger. In dieser Arbeit wurden aktuelle E-Learning Plattformen zu Java analysiert. Aus den gewonnen Erkenntnissen wurde ein Konzept für eine E-Learningplattform entwickelt. Dieses Konzept wurde erfolgreich als Prototyp implementiert. Für die Implementation wurden bewährte Technologien, wie das Django-Framework und das Javascript-Framework Vue.js eingesetzt. Der Kurs wurde von neun Teilnehmern getestet. Zusätzlich wurde eine Umfrage zu der Kursanwendung durchgeführt. Das Testergebnis bestätigt, dass die Teilnehmer den Kurs bestanden haben.
In the last few years the Internet of things has gained increased attention from authors as well as companies due to its innovation potential. The rising interest in the Internet of Things has also affected the logistics, which currently suffers from the effects of the globalization and the ever-increasing competitive pressure. Thus, there are efforts to discover how the logistics can profit from the use of IoT concepts, ideas and technologies to help it overcome its challenges. This research study focuses on the identification of these efforts and the corresponding research for logistics processes. For that purpose the researcher explored current literature referring to this topic. The final outcome of this paper is a structured overview of the identified IoT use-cases, their corresponding technologies and devices and finally their affected stakeholders. Whether the expectations regarding the IoT implementation in logistics processes are met, how companies can profit from these use-cases and which problems potentially arise by using IoT devices and technologies in logistics are answered at the end of this paper.
Augmented reality is being present for many years. Through progress in technology smaller augmented reality glasses became possible. These new technologies allow many new ways of interaction and usage of augmented reality.
This thesis is about the Microsoft HoloLens and its possiblities for consumers and industry. In the context of this thesis a new interactive and augmented application to measure the possiblities and limitations of the Microsoft HoloLens has been developed. The scene is an assembly szenario with a step by step instruction of building with Lego bricks. The evaluation showed that the HoloLens can already be used to assist in assembling scenarios and offers some advantages over other methods, although the glasses still have some flaws.
This thesis presents two methods for the computation of global illumination. The first is an extension of Reflective Shadow Maps with an additional shadow test in order to handle occlusion. The second method is a novel, bidirectional Light-Injection approach. Rays originating from the light source are traced through the scene and stored inside the shafts of the Linespace datastructure. These shafts are a discretization of the possible spatial directions. The Linespaces are embedded in a Uniform Grid. When retrieving this pre-calculated lightning information no traversal of datastructures and no additional indirection is necessary in the best-case scenario. This reduces computation time and variance compared to Pathtracing. Areas that are mostly lit indirectly and glas profit the most from this. However, the result is only approximative in nature and produces visible artifacts.
Grassland management has been increasingly intensified throughout centuries since mankind started to control and modify the landscape. Species communities were always shaped alongside management changes leading to huge alterations in species richness and diversity up to the point where land use intensity exceeded the threshold. Since then biodiversity became increasingly lost. Today, global biodiversity and especially grassland biodiversity is pushed beyond its boundaries. Policymakers and conservationists seek for management options which fulfill the requirements of agronomic interests as well as biodiversity conservation alongside with the maintenance of ecosystem processes. However, there is and will always be a trade-off.
Earlier in history, natural circumstances in a landscape mainly determined regionally adapted land use. These regional adaptions shaped islands for many specialist species, and thus diverse species communities, favoring the establishment of a high β-diversity. With the raising food demand, these regional and traditional management regimes became widely unprofitable, and the invention of mineral fertilizers ultimately led to a wide homogenization of grassland management and, as follows, the loss of biotic heterogeneity. In the course of the green revolution, this immediate coherence and the dependency between grassland biodiversity and traditional land use practices becomes increasingly noticed. Indeed, some traditional forms of management such as meadow irrigation have been preserved in a few regions and thus give us the opportunity to directly investigate their long-term relevance for the species communities and ecosystem processes. Traditional meadow irrigation was a common management practice to improve productivity in lowland, but also alpine hay meadows throughout Europe until the 20th century. Nowadays, meadow irrigation is only practiced as a relic in a few remnant areas. In parts of the Queichwiesen meadows flood irrigation goes back to the Middle Ages, which makes them a predestined as a model region to study the long- and short-term effects of lowland meadow irrigation on the biodiversity and ecosystem processes.
Our study pointed out the conservation value of traditional meadow irrigation for the preservation of local species communities as well as the plant diversity at the landscape scale. The structurally more complex irrigated meadows lead to the assumption of a higher arthropod diversity (Orthodoptera, Carabidae, Araneae), which could not be detected. However, irrigated meadows are a significant habitat for moisture dependent arthropod species. In the light of the agronomic potential, flood irrigation could be a way to at least reduce fertilizer costs to a certain degree and possibly prevent overfertilization pulses which are necessarily hazardous to non-target ecosystems. Still, the reestablishment of flood irrigation in formerly irrigated meadows, or even the establishment of new irrigation systems needs ecological and economic evaluation dependent on regional circumstances and specific species communities, at which this study could serve as a reference point.