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Ciolacu M.,Deggendorf University of Applied Sciences | Beer R.,University of Passau
2016 IEEE 22nd International Symposium for Design and Technology in Electronic Packaging, SIITME 2016 | Year: 2016

We present an Adaptive User Interface (AUI) for online courses in higher education as a method for solving the challenges posed by the different knowledge levels in a heterogeneous group of students. The scenario described in this paper is an online beginners' course in Mathematics which is extended by an adaptive course layout to better fit the needs of every individual student. The course offers an entry-level test to check each student's prior knowledge and skills. The results are used to automatically determine which parts of the course are relevant for the student and which ones can be hidden, based on parameters set by the course teachers. Initial results are promising; the new adaptive learning platform in mathematics is leading to higher student satisfaction and better performance. © 2016 IEEE.

Merz C.,Deggendorf University of Applied Sciences | Kupris G.,Deggendorf University of Applied Sciences
2016 IEEE 3rd International Symposium on Wireless Systems within the IEEE International Conferences on Intelligent Data Acquisition and Advanced Computing Systems, IDAACS-SWS 2016 - Proceedings | Year: 2016

RF energy harvesting is the extraction of small amounts of energy from an electromagnetic field. This energy can be used to power a tiny microsystem like a wireless and battery-less sensor. At the Deggendorf Institute of Technology we have constructed RF energy harvesting circuits and tested their performance and features. The paper describes the building blocks of a RF energy harvesting system and discusses a possibility of improving the system. The method deals with high Q matching circuits in the 13.56 MHz band that increase the overall efficiency of RF energy harvesting circuits. Instead of common inductive and capacitive matching elements, high Q elements such like crystal resonators are used. A L matching circuit is analyzed mathematically in the paper and a RF energy harvesting network with high Q matching is simulated and manufactured and the advantages and disadvantages of high Q matching are discussed. © 2016 IEEE.

Agency: European Commission | Branch: H2020 | Program: RIA | Phase: GV-8-2015 | Award Amount: 6.15M | Year: 2016

ELECTRIFIC will revolutionise how electric vehicles are integrated into power grid and users life. The fundamental premise on which the project will work that significant improvements to electromoblity can be unlocked by increasing coordination of all the actors in the electromobility ecosystem. To this end, the project will deliver novel techniques and ICT tools for enabling such coordination at all levels of the ecosystem. At the grid level, the project will develop new smart charging stations capable of dynamically controlling charging rate, maximizing the use of renewables and making as grid-friendly as possible. At level of EV users, the project will develop advanced driver assistance services that help and motivate the users plan travel and charging in a way that is convenient and yet respects potential constraints on charging capacity. Finally, at the EV fleet level, the project will develop management tools that help to optimise fleet operations, maximising battery lifetime and minimising charging costs. ELECTRIFIC comprises a balanced consortium of experienced research partners, energy providers and innovative electromobility SMEs. The results of the project will disseminated in the scientific community and rolled out to commercial use from e-bikes to e-buses, from private owners to government services and including cross-border mobility.

Fuchs E.,University of Passau | Gruber T.,Deggendorf University of Applied Sciences | Nitschke J.,University of Passau | Sick B.,Deggendorf University of Applied Sciences
IEEE Transactions on Pattern Analysis and Machine Intelligence | Year: 2010

The paper presents SwiftSeg, a novel technique for online time series segmentation and piecewise polynomial representation. The segmentation approach is based on a least-squares approximation of time series in sliding and/or growing time windows utilizing a basis of orthogonal polynomials. This allows the definition of fast update steps for the approximating polynomial, where the computational effort depends only on the degree of the approximating polynomial and not on the length of the time window. The coefficients of the orthogonal expansion of the approximating polynomialobtained by means of the update stepscan be interpreted as optimal (in the least-squares sense) estimators for average, slope, curvature, change of curvature, etc., of the signal in the time window considered. These coefficients, as well as the approximation error, may be used in a very intuitive way to define segmentation criteria. The properties of SwiftSeg are evaluated by means of some artificial and real benchmark time series. It is compared to three different offline and online techniques to assess its accuracy and runtime. It is shown that SwiftSegwhich is suitable for many data streaming applicationsoffers high accuracy at very low computational costs. © 2010 IEEE.

Reitmaier T.,University of Passau | Sick B.,Deggendorf University of Applied Sciences
IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining | Year: 2011

In this article, we introduce and investigate 3DS, a novel selection strategy for pool-based active training of a generative classifier, namely CMM (classifier based on a probabilistic mixture model). Such a generative classifier aims at modeling the processes underlying the generation of the data. The strategy 3DS considers the distance of samples to the decision boundary, the density in regions where samples are selected, and the diversity of samples in the query set that are chosen for labeling, e.g., by a human domain expert. The combination of the three measures in 3DS is adaptive in the sense that the weights of the distance and the density measure depend on the uniqueness of the classification. With nine benchmark data sets it is shown that 3DS outperforms a random selection strategy (baseline method), a pure closest sampling approach, ITDS (information theoretic diversity sampling), DWUS (density-weighted uncertainty sampling), DUAL (dual strategy for active learning), and PBAC (prototype based active learning) regarding evaluation criteria such as ranked performance based on classification accuracy, number of labeled samples (data utilization), and learning speed assessed by the area under the learning curve. © 2011 IEEE.

Trum C.J.,Deggendorf University of Applied Sciences | Rascher R.,Deggendorf University of Applied Sciences
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2016

During design of optical systems or individual components, customers and designers already predetermine the way through production and the necessary resources. They define the tolerances that are required for their application like shape, micro-roughness and cleanliness, as well as the glass material that is necessary for the targeted optical effect. By the tolerances, they have also an influence on the manufacturer and his decisions on the production environment, measurement technology and the process chain that in his opinion is necessary to meet the specification. In most cases the type of polishing suspension and its parameters are also predetermined by the use of central polishing supply systems. With this paper, the authors want to give a prospect of a currently running research with the aim of increasing the efficiency of chemo-mechanical polishing processes by a systematic selection and conditioning of the polishing suspension. They want to show that small amounts of well-conditioned and stabilized polishing suspension could be a tool to improve the efficiency in CMP processes under the influence of the global trend to products that are more individual and down to one piece flow production. Main parts of this research are the identification of influences of polishing suspensions on the quality criteria of optical components and the creation of a method to find well-working suspension parameters in a deterministic and reproducible way. © 2016 SPIE.

Futterer G.,Deggendorf University of Applied Sciences
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2016

An important chain link in modeling of three dimensional data (3D data), 3D prototyping, CAD-CAM, computerintegrated manufacturing (CIM), PC gaming, global 3D teleconferencing, future e-commerce, product advertisement and mobile infotainment is the visualization of 3D data and 3D objects. On the one hand, there is an increasing demand for 3D displays providing natural three dimensional viewing experience, but on the other hand there is a lack of available 3D displays capable of generating all depth cues. Available state of the art 3D displays can provide only a few depth cues and a very limited 3D experience. This is due to the inherent physical limits of the different approaches used. Holographic displays, for instance based on space bandwidth limited wave segment reconstruction, can provide all depth cues and a large viewing volume. They can provide satisfying 3D visualization. But still they are not available. Thick hologram gratings 1, which also can be referred to as Bragg diffraction based volume gratings, are key components, which enable small form factor holographic 3D displays. Manufacturing large, display size Bragg diffraction based volume gratings is challenging. Collimators are key components within interference lithographic exposure setups. Using off-axis parabolic mirrors (OAPM) as collimating optical elements enables the generation of exact plane waves by using a single reflective surface. Thus, off-axis parabolic mirrors are preferred in order to realize the collimation of large wave fronts. The surface roughness has to be very low. The relationship between holographic 3D displays and specific requirements, which have to be taken into account when manufacturing off-axis parabolic mirrors, will be presented. © 2016 SPIE.

Sitzberger S.,Deggendorf University of Applied Sciences | Rascher R.,Deggendorf University of Applied Sciences
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2016

By adaption and coordination of successive process steps the efficiency of producing optics can be improved. In the beginning of this investigation, the focus is on two crucial process steps of the optical manufacturing process. First, there is the optical and mechanical design of the optical part and system. In this context, it is important to consider what modifications compared to the current standard design are possible respectively useful. Thus, the modifications will only concentrate on parts of the optic that do not interfere with the optical functionality. Furthermore in this part of the study the main aspect is the clamping situation of the optical part in a holder or an optical system. It will be discussed, whether it is useful to add special clamping surfaces respectively a clamping flange in contrast to the standard design. The faultless functioning of the optics has always first priority. Second, the manufacturing process itself has a great number of single steps. Therefore, a main part of the research is the investigation of current clamping situations in optics manufacturing, with prospect to improve them in order to work perfectly with the design modifications, as mentioned above. This part of the investigation focuses on the clamping system for the lens on each machine necessary for manufacturing. In the scope of this paper the authors want to summarize characteristics and deficits of current clamping systems and workpiece mounts and give a prospect of the following course of action. © 2016 SPIE.

Turnau M.,Deggendorf University of Applied Sciences
Transportation Research Part A: Policy and Practice | Year: 2015

In this study several hypotheses comprising a heuristic framework derived from rational-choice (RC) premises and regarding some potentially influencing variables on future use intention of different vehicle types are tested with a rural area sample. Especially the differentiation between long-term vs. short-term as well as functional/rational vs. extra-functional/emotional motivators is assessed. Results suggest a predominance of functional motivators and rational connotations over extra-functional/emotional ones. The models to check whether short-term or long-term effects dominate did not clearly confirm a predominance of long-term factors as hypothesized. In several regression models a moderating effect of rational short-term connotations on different long-term motivators was found, thus contributing notably to the prediction of future vehicle use-intention. The need for further research and theory-driven modeling is briefly discussed. © 2015 Elsevier Ltd.

Vandamme D.,CNRS Biology of Aquatic Organisms and Ecosystems Laboratory | Pontes S.C.V.,Deggendorf University of Applied Sciences | Goiris K.,Leuven Food Science and Nutrition Research Center oe | Foubert I.,CNRS Biology of Aquatic Organisms and Ecosystems Laboratory | And 3 more authors.
Biotechnology and Bioengineering | Year: 2011

Although microalgae are considered as a promising feedstock for biofuels, the energy efficiency of the production process needs to be significantly improved. Due to their small size and low concentration in the culture medium, cost-efficient harvesting of microalgae is a major challenge. In this study, the use of electro-coagulation-flocculation (ECF) as a method for harvesting a freshwater (Chlorella vulgaris) and a marine (Phaeodactylum tricornutum) microalgal species is evaluated. ECF was shown to be more efficient using an aluminum anode than using an iron anode. Furthermore, it could be concluded that the efficiency of the ECF process can be substantially improved by reducing the initial pH and by increasing the turbulence in the microalgal suspension. Although higher current densities resulted in a more rapid flocculation of the microalgal suspension, power consumption, expressed per kg of microalgae harvested, and release of aluminum were lower when a lower current density was used. The aluminum content of the harvested microalgal biomass was less than 1% while the aluminum concentration in the process water was below 2mgL-1. Under optimal conditions, power consumption of the ECF process was around 2kWhkg-1 of microalgal biomass harvested for Chlorella vulgaris and ca. 0.3kWhkg-1 for Phaeodactylum tricornutum. Compared to centrifugation, ECF is thus more energy efficient. Because of the lower power consumption of ECF in seawater, ECF is a particularly attractive method for harvesting marine microalgae. © 2011 Wiley Periodicals, Inc.

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