@article{27755, author = {{Kizirian, Nathalie V and Goletzke, Janina and Brodie, Shannon and Atkinson, Fiona S and Markovic, Tania P and Ross, Glynis P and Buyken, Anette and Brand-Miller, Jennie P}}, issn = {{2052-4897}}, journal = {{BMJ Open Diabetes Research & Care}}, title = {{{Lower glycemic load meals reduce diurnal glycemic oscillations in women with risk factors for gestational diabetes}}}, doi = {{10.1136/bmjdrc-2016-000351}}, year = {{2017}}, } @article{27771, abstract = {{Abstract Background Children with migration background are at particular risk for overweight. We assessed the effects of a primary school-based initiative targeted at enhancing physical activity and dietary education among children with a high proportion of migration background. Methods Four 3rd and 4th grade classes (n=70 children, 77% with migration background) participated in a 10-months intervention comprising 2 additional exercise lessons weekly and 10 nutrition lessons per school year. 6 school classes (n=125 children, 65% with migration background) served as control. Before and after the intervention, an assessment of physical fitness and motor skills and questionnaires on dietary behavior and knowledge were conducted. In a subgroup (n=37), after 6 months of the intervention, daily physical activity was assessed by accelerometer-based monitoring. Differences in changes between the groups were assessed using linear regression analyses. Results Changes between the 2 time points for fitness and motor skill tests (differences in standard deviation scores) were larger in the intervention than in the control group for the total mean test value (β=0.38, p<0.001), driven by higher improvements in 5 of the 8 test items, i.e., obstacle race (speed) (β=0.22, p=0.049), standing long jump (strength) (β=0.35, p<0.001), sit-ups (strength) (β=0.33, p=0.002), stand and reach (mobility) (β=0.22, p=0.042), and 6 min run (endurance) (β=0.40, p<0.001), independently of confounders. Changes in dietary knowledge and consumption frequencies did not differ between groups. Conclusions Promoting guided physical activity in a primary school setting with a high proportion of children with migration background positively affected parameters of fitness and motor skills.}}, author = {{Weber, Katharina and Spörkel, Olaf and Mertens, Melina and Freese, Alem and Strassburger, Klaus and Kemper, Boris and Bachmann, Clemens and Diehlmann, Knut and Stemper, Theodor and Buyken, Anette and Ketelhut, Kerstin and Müssig, Karsten}}, issn = {{0947-7349}}, journal = {{Experimental and Clinical Endocrinology & Diabetes}}, pages = {{554--562}}, title = {{{Positive Effects of Promoting Physical Activity and Balanced Diets in a Primary School Setting with a High Proportion of Migrant School Children}}}, doi = {{10.1055/s-0043-101918}}, year = {{2017}}, } @inproceedings{1156, abstract = {{In this paper, we present an IoT architecture which handles stream sensor data of air pollution. Particle pollution is known as a serious threat to human health. Along with developments in the use of wireless sensors and the IoT, we propose an architecture that flexibly measures and processes stream data collected in real-time by movable and low-cost IoT sensors. Thus, it enables a wide-spread network of wireless sensors that can follow changes in human behavior. Apart from stating reasons for the need of such a development and its requirements, we provide a conceptual design as well as a technological design of such an architecture. The technological design consists of Kaa and Apache Storm which can collect air pollution information in real-time and solve various problems to process data such as missing data and synchronization. This enables us to add a simulation in which we provide issues that might come up when having our architecture in use. Together with these issues, we state r easons for choosing specific modules among candidates. Our architecture combines wireless sensors with the Kaa IoT framework, an Apache Kafka pipeline and an Apache Storm Data Stream Management System among others. We even provide open-government data sets that are freely available.}}, author = {{Kersting, Joschka and Geierhos, Michaela and Jung, Hanmin and Kim, Taehong}}, booktitle = {{Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security}}, editor = {{Ramachandran, Muthu and Méndez Muñoz, Víctor and Kantere, Verena and Wills, Gary and Walters, Robert and Chang, Victor}}, isbn = {{978-989-758-245-5}}, keywords = {{Wireless Sensor Network, Internet of Things, Stream Data, Air Pollution, DSMS, Real-time Data Processing}}, location = {{Porto, Portugal}}, pages = {{117--124}}, publisher = {{SCITEPRESS}}, title = {{{Internet of Things Architecture for Handling Stream Air Pollution Data}}}, doi = {{10.5220/0006354801170124}}, year = {{2017}}, } @phdthesis{20805, author = {{Becker, Matthias}}, publisher = {{Universität Paderborn, Heinz Nixdorf Institut, Softwaretechnik}}, title = {{{Engineering Self-Adaptive Systems with Simulation-Based Performance Prediction}}}, year = {{2017}}, } @techreport{20868, abstract = {{This study proposes a simple theoretical framework that allows for assessing financial distress up to five years in advance. We jointly model financial distress by using two of its key driving factors: declining cash-generating ability and insufficient liquidity reserves. The model is based on stochastic processes and incorporates firm-level and industry-sector developments. A large-scale empirical implementation for US-listed firms over the period of 1980-2010 shows important improvements in the discriminatory accuracy and demonstrates incremental information content beyond state-of-the-art accounting and market-based prediction models. Consequently, this study might provide important ex ante warning signals for investors, regulators and practitioners.}}, author = {{Sievers, Sönke and Klobucnik, Jan and Miersch, David}}, keywords = {{Financial distress prediction, probability of default, accounting information, stochastic processes, simulation}}, pages = {{84}}, title = {{{Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence}}}, doi = {{10.2139/ssrn.2237757}}, year = {{2017}}, } @inproceedings{22420, abstract = {{Additive Fertigungsverfahren (engl.: Additive Manufacturing, kurz: AM) ermöglichen die werkzeuglose Herstellung von Komponenten und kompletten Baugruppen direkt aus dem 3D-CAD-Modell. Insbesondere additiv hergestellte Leichtbaukonstruktionen weisen ein hohes Potential für den Elektromaschinenbau auf. In diesem Paper werden erste Ansätze zur additiven Fertigung einer Rotorwelle für eine permanentmagneterregte Synchronmaschine (PMSM) aufgezeigt. Die Verbesserung einer ausgeprägten Leichtbaukonstruktion der Rotorwelle sowie die Charakterisierung des additiv verarbeiteten Werkstoffs werden aufgeführt. Hierzu wurden Prüfkörper aus dem Werkstoffs H13 (1.2344) hergestellt. Des Weiteren wurden Prüfkörper additiv gefertigter Gitterstrukturen entwickelt und untersucht. Zur Werkstoffcharakterisierung wurden sowohl mechanische Eigenschaften ermittelt, wie die Streckgrenze, die Zugfestigkeit und die Härte als auch elektromagnetische Eigenschaften, wie die Koerzitivfeldstärke, die elektrische Leitfähigkeit und die Permeabilität. Die Ergebnisse zeigen, dass die magnetischen Eigenschaften von H13 durch eine angeschlossene Wärmebehandlung deutlich verbessert werden konnten. Im Anschluss an die Werkstoffcharakterisierung wurde ein innovatives Leichtbau-Rotorwellenkonzept mit internen Gitterstrukturen entwickelt. Verglichen mit einem konventionell gefertigten Rotor konnte die Rotormasse um 25% reduziert werden sowie das Massenträgheitsmoment um 23% reduziert werden bei einer Testdrehzahl von 3000 U/min und einem Drehmoment von 71,98 Nm.}}, author = {{Lammers, Stefan and Quattrone, Francesco and Mrozek, Rafael and Zimmer, Detmar and Schmid, Hans-Joachim and Ponick, Bernd and Hoffmann, Michael}}, booktitle = {{Proceedings of the 14th Rapid.Tech Conference}}, isbn = {{978-3-446-45459-0}}, pages = {{80--93}}, publisher = {{Hanser Verlag}}, title = {{{Entwicklung und additive Herstellung einer Leichtbau-Rotorwelle für eine permanentmagneterregte Synchronmaschine}}}, doi = {{10.3139/9783446454606.006}}, year = {{2017}}, } @inproceedings{22422, author = {{Knoop, Frederick and Lieneke, Tobias}}, booktitle = {{Inside 3D Printing 2017}}, title = {{{Dimensional Tolerances for Additive Manufacturing: Fused Deposition Modeling}}}, year = {{2017}}, } @inproceedings{22869, author = {{Roßmann, Jürgen and Schluse, Michael and Rast, Malte and Hoppen, Martin and Atorf, Linus and Dumitrescu, Roman and Bremer, Christian and Hillebrand, Michael and Stern, Oliver and Schmitter, Peter}}, booktitle = {{Wissenschaftsforum Intelligente Technische Systeme (WinTeSys)}}, title = {{{ Integrierte Entwicklung komplexer Systeme mit modellbasierter Systemspezifikation und -simulation - Eine Fallstudie zur Sensorauslegung in der Raumfahrt}}}, year = {{2017}}, } @inproceedings{23006, author = {{Xu, Ke and Timmermann, Julia and Trächtler, Ansgar}}, booktitle = {{Proc. 20th IFAC World Congress}}, title = {{{Swing-up of the moving double pendulum on a cart with simulation based LQR-Trees}}}, year = {{2017}}, } @inproceedings{23007, author = {{Abdelgawad, Kareem and Henning, Sven and Biemelt, Patrick and Gausemeier, Sandra and Trächtler, Ansgar}}, booktitle = {{VDI/VDE (AUTOREG 2017)}}, publisher = {{VDI-Verlag, Düsseldorf}}, title = {{{Networked Driving Simulation for Future Autonomous and Cooperative Vehicle Systems}}}, year = {{2017}}, } @inproceedings{5914, abstract = {{During the last years, alternative drive technologies, for example electrically powered vehicles (EV), have gained more and more attention, mainly caused by an increasing awareness of the impact of CO2 emissions on climate change and by the limitation of fossil fuels. However, these technologies currently come with new challenges due to limited lithium ion battery storage density and high battery costs which lead to a considerably reduced range in comparison to conventional internal combustion engine powered vehicles. For this reason, it is desirable to increase the vehicle range without enlarging the battery. When the route and the road slope are known in advance, it is possible to vary the vehicles velocity within certain limits in order to reduce the overall drivetrain energy consumption. This may either result in an increased range or, alternatively, in larger energy reserves for comfort functions such as air conditioning. In this presentation, we formulate the challenge of range extension as a multiobjective optimal control problem. We then apply different numerical methods to calculate the so-called Pareto set of optimal compromises for the drivetrain power profile with respect to the two concurrent objectives battery state of charge and mean velocity. In order to numerically solve the optimal control problem by means of a direct method, a time discretization of the drivetrain power profile is necessary. In combination with a vehicle dynamics simulation model, the optimal control problem is transformed into a high dimensional nonlinear optimization problem. For the approximation of the Pareto set, two different optimization algorithms implemented in the software package GAIO are used. The first one yields a global optimal solution by applying a set-oriented subdivision technique to parameter space. By construction, this technique is limited to coarse discretizations of the drivetrain power profile. In contrast, the second technique, which is based on an image space continuation method, is more suitable when the number of parameters is large while the number of objectives is less than five. We compare the solutions of the two algorithms and study the influence of different discretizations on the quality of the solutions. A MATLAB/Simulink model is used to describe the dynamics of an EV. It is based on a drivetrain efficiency map and considers vehicle properties such as rolling friction and air drag, as well as environmental conditions like slope and ambient temperature. The vehicle model takes into account the traction battery too, enabling an exact prediction of the batterys response to power requests of drivetrain and auxiliary loads, including state of charge.}}, author = {{Dellnitz, Michael and Eckstein, Julian and Flaßkamp, Kathrin and Friedel, Patrick and Horenkamp, Christian and Köhler, Ulrich and Ober-Blöbaum, Sina and Peitz, Sebastian and Tiemeyer, Sebastian}}, booktitle = {{Progress in Industrial Mathematics at ECMI 2014 }}, isbn = {{9783319234120}}, issn = {{1612-3956}}, pages = {{633--641}}, publisher = {{Springer International Publishing}}, title = {{{Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control}}}, doi = {{10.1007/978-3-319-23413-7_87}}, year = {{2017}}, } @inproceedings{983, author = {{Auroux, Sébastien and Scholz, S. and Karl, Holger}}, booktitle = {{Proc. European Wireless}}, title = {{{Assessing Genetic Algorithms for Placing Flow Processing-aware Control Applications}}}, year = {{2017}}, } @article{9862, abstract = {{In order to improve the credibility of modern simulation tools, uncertainties of different kinds have to be considered. This work is focused on epistemic uncertainties in the framework of continuum mechanics, which are taken into account by fuzzy analysis. The underlying min-max optimization problem of the extension principle is approximated by α-discretization, resulting in a separation of minimum and maximum problems. To become more universal, so-called quantities of interest are employed, which allow a general formulation for the target problem of interest. In this way, the relation to parameter identification problems based on least-squares functions is highlighted. The solutions of the related optimization problems with simple constraints are obtained with a gradient-based scheme, which is derived from a sensitvity analysis for the target problem by means of a variational formulation. Two numerical examples for the fuzzy analysis of material parameters are concerned with a necking problem at large strain elastoplasticity and a perforated strip at large strain hyperelasticity to demonstrate the versatility of the proposed variational formulation. }}, author = {{Mahnken, Rolf}}, issn = {{ 2325-3444}}, journal = {{Mathematics and Mechanics of complex systems}}, keywords = {{fuzzy analysis, α-level optimization, quantities of interest, optimization with simple constraints, large strain elasticity, large strain elastoplasticity}}, number = {{3-4}}, title = {{{"A variational formulation for fuzzy analysis in continuum mechanics"}}}, volume = {{5}}, year = {{2017}}, } @article{9972, abstract = {{The transportation of dry fine powders is an emerging technologic task, as in biotechnology, pharmaceu-tical and coatings industry the particle sizes of processed powders get smaller and smaller. Fine powdersare primarily defined by the fact that adhesive and cohesive forces outweigh the weight forces, leadingto mostly unwanted agglomeration (clumping) and adhesion to surfaces. Thereby it gets more difficult touse conventional conveyor systems (e.g. pneumatic or vibratory conveyors) for transport. A rather newmethod for transporting these fine powders is based on ultrasonic vibrations, which are used to reducefriction between powder and substrate. Within this contribution an experimental set-up consisting of apipe, a solenoid actuator for axial vibration and an annular piezoelectric actuator for the high frequencyradial vibration of the pipe is described. Since amplitudes of the radial pipe vibration should be as large aspossible to get high effects of friction reduction, the pipe is excited to vibrate in resonance. To determinethe optimum excitation frequency and actuator position the vibration modes and resonance frequenciesof the pipe are calculated and measured. Results are in good accordance.}}, author = {{Dunst, Paul and Hemsel, Tobias and Sextro, Walter}}, journal = {{elsevier}}, keywords = {{Powder transport Piezoelectrics Ultrasonics Pipe vibration Finite element simulation Fine powder}}, pages = {{733--736}}, title = {{{Analysis of pipe vibration in an ultrasonic powder transportationsystem}}}, volume = {{Sensors and Actuators A 263}}, year = {{2017}}, } @article{9975, abstract = {{Piezoelectric inertia motors also known as stick-slip motors or (smooth) impact drives use the inertia of a body to drive it in small steps by means of an uninterrupted friction contact. In addition to the typical advantages of piezoelectric motors, they are especially suited for miniaturisation due to their simple structure and inherent fine-positioning capability. Originally developed for positioning in microscopy in the 1980s, they have nowadays also found application in mass-produced consumer goods. Recent research results are likely to enable more applications of piezoelectric inertia motors in the future. This contribution gives a critical overview of their historical development, functional principles, and related terminology. The most relevant aspects regarding their design i.e., friction contact, solid state actuator, and electrical excitation are discussed, including aspects of control and simulation. The article closes with an outlook on possible future developments and research perspectives.}}, author = {{Hunstig, Matthias}}, journal = {{Actuators. 2017, 6(1)-7.}}, pages = {{1--35}}, title = {{{Piezoelectric Inertia Motors—A Critical Review of History, Concepts, Design, Applications, and Perspectives.}}}, doi = {{10.3390/act6010007}}, year = {{2017}}, } @article{5199, abstract = {{This study proposes a simple theoretical framework that allows for assessing financial distress up to five years in advance. We jointly model financial distress by using two of its key driving factors: declining cash-generating ability and insufficient liquidity reserves. The model is based on stochastic processes and incorporates firm-level and industry-sector developments. A large-scale empirical implementation for US-listed firms over the period of 1980-2010 shows important improvements in the discriminatory accuracy and demonstrates incremental information content beyond state-of-the-art accounting and market-based prediction models. Consequently, this study might provide important ex ante warning signals for investors, regulators and practitioners. }}, author = {{Klobucnik, Jan and Miersch, David and Sievers, Sönke}}, journal = {{SSRN Electronic Journal}}, keywords = {{Financial distress prediction, probability of default, accounting information, stochastic processes, simulation}}, title = {{{Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence}}}, year = {{2017}}, } @inproceedings{6565, author = {{Jäger, Axel and Johannesmann, Sarah and Claes, Leander and Webersen, Manuel and Henning, Bernd and Kupnik, Mario}}, booktitle = {{2017 IEEE IUS~Proceedings}}, title = {{{Evaluating the Influence of 3D-Printing Parameters on Acoustic Material Properties}}}, year = {{2017}}, } @inproceedings{6638, author = {{Krauter, Stefan}}, booktitle = {{VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.}}, location = {{Hamburg}}, title = {{{Comparison of Conversion Efficiencies and Energy Yields of Micro-Inverters for Photovoltaic Modules}}}, year = {{2017}}, } @inproceedings{6639, author = {{Krauter, Stefan and Ameli, Ali}}, booktitle = {{VDE-Proceedings of NEIS 2017 – Conference on Sustainable Energy Supply and Energy Storage Systems by IEEE-PES. Hamburg (Deutschland), 21.–22. September, 2017.}}, location = {{Hamburg}}, title = {{{Smart Charging Management System of Plugged-in EVs for Optimal Operation of Future Power Systems.}}}, year = {{2017}}, } @inproceedings{12005, author = {{Eckhoff, David and Brummer, Alexander and Sommer, Christoph}}, booktitle = {{2016 IEEE Vehicular Networking Conference (VNC)}}, isbn = {{9781509051977}}, title = {{{On the impact of antenna patterns on VANET simulation}}}, doi = {{10.1109/vnc.2016.7835925}}, year = {{2017}}, }