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Reflection on boon and bane of water absorbing components in active implants during package testing and operation

Current Directions in Biomedical Engineering 2018年第1期4卷 319-322页

作者： Koker, Liane Gengenbach, Ulrich Bretthauer, Georg Institute for Automation and Applied Informatics (IAI) Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

For package testing of active implants internal humidity measurements are performed. Thereby, the water absorbency of the measurement components can affect the measurement result, leading to an erroneously prolonged predicted lifetime. Here, the infuence of internal components is discussed using an exemplary setup. It is described how to model and consider the components' absorbencies for lifetime estimation and how beneficial they are during implant operation. © 2018 Liane Koker et al.

关键词： Humidity sensors

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Internet of things solution for non-invasive vital data acquisition: a step towards smart healthcare system 6th

Internet of things solution for non-invasive vital data acqu...

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6th KES International Conference on Sustainable Design and Manufacturing, KES-SDM 2019

作者： Salem, Mahmoud El-Maddah, Islam Youssef, Khaled Mohamed, Hoda Faculty of Engineering Ain Shams University Cairo Egypt Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany Faculty of Navigation Science and Space Technology BSU Beni-Suef Egypt

ISBN: (纸本)9789811392702

The advent and subsequent explosive growth of hi-tech medical industry is one of the main features of the modern era. It is driven by the legitimate plea to apply smart healthcare environment for a broad range of working systems, entailing hospitals, schools, workshops, etc. In particular, smart healthcare offers a unique opportunity to optimise the interaction between the human and the medical system (equipment/tools and doctors) for diagnosis, monitoring and treatment measures, which certainly will decrease infections and disease’s transmissions. However, developing a reliable Internet of Things solution, to facilitate a seamless and flawless data transmission among smart assets, is an indispensable task to fully implement. Accordingly, the motivation for this paper is to develop an IoT technique for a non-invasive healthcare system to enable vast collecting and analysis of human vital data via a computer vision technique in order to reduce infections. In particular, concurrent IoT communication was designed for a mesh of three nodes, entailing a sensing node for heartbeat measurement, a vital data visualising node and a broker node. This was developed to guarantee a real-time visualisation of the vital data of the human/patient and it was enriched by an offline visualisation and online cloud visualisation via the broker node. Furthermore, an embedded software architecture was developed that offers a reliable solution to minimise communication latency and provides real-time response to acquired information. Also, the software design is applicable to easily interface with newly added nodes in the future to increase the scale of IoT mesh. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Data acquisition

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An industry 4.0 framework for tooling production using metal additive manufacturing-based first-time-right smart manufacturing system 53

An industry 4.0 framework for tooling production using metal...

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53rd CIRP Conference on Manufacturing Systems, CMS 2020

作者： Moshiri, Mandaná Charles, Amal Elkaseer, Ahmed Scholz, Steffen Mohanty, Sankhya Tosello, Guido Department of Mechanical Engineering Technical University of Denmark Building 427 Produktionstorvet 5 Kgs. LyngbyDK-2800 Denmark Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Faculty of Engineering Port Said University Port Fuad42526 Egypt Karlsruhe Nano Micro Facility Hermann-von-Helmholtz-Platz 1 Eggenstein-Leopoldshafen76344 Germany

This paper presents a concept for an integrated process chain for tooling production based on metal additive manufacturing. The proposed approach aims at taking advantage of a fully digitized production line, describing the main steps for the synergetic integration of the manufacturing assets. The production line entails digital infrastructure that collects and elaborate data from various monitoring sensors to execute corrective actions and continuously optimize the process. This line will bring breakthrough benefits, like flexibility and full traceability. Also challenges, as change management in the industry, skills gap, the requirement of new business models and product re-design have been addressed. © 2020 The Authors.

关键词： Industry 4.0

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Design and Implementation of Adaptive NMPC in industrial applications: case study

Design and Implementation of Adaptive NMPC in industrial app...

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International Carpathian Control Conference (ICCC)

作者： Stepan Ozana Filip Krupa Jakub Nemcik Gergely Takacs Jakub Mozaryn Petr Beremlijski Abhaya Singh Aleksandra Kawala-Sterniuk Department of Cybernetics and Biomedical Engineering VSB-Technical University of Ostrava Ostrava Czech Republic Institute of Automation Measurement and Applied Informatics Slovak University of Technology in Bratislava Bratislava Slovak Republic Institute of Automatic Control and Robotics Warsaw University of Technology Warsaw Poland Department of Applied Mathematics VSB-Technical University of Ostrava Ostrava Czech Republic Department of engineering University of Sannio Sannio Italy Department of Electrical Power and Renewable Energy Opole University of Technology Opole Poland

This paper deals with the design and implementation of adaptive nonlinear predictive control (NMPC). The resulting control system is deployed on a softPLC embedded target in real-time via the REXYGEN control system. The paper describes functional prototype using softPLC hosting the NMPC algorithm applied for a nonlinear system consisting of three coupled tanks. The NMPC algorithm is solved via the receding horizon control method (RHC), formulated as a nonlinear programming problem (NLP) and numerically computed using the SOLNP solver. The adaptivity is provided by online identification via moving horizon estimation (MHE), keeping the model updated to avoid a model-plant mismatch. The methodology described in this paper can be easily transferred to a wider group of industrial nonlinear processes. Such created control unit can run in a standalone mode or can be connected to some exiting control system providing a necessary computational power and thus upgrading the quality of control significantly.

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Understanding Braess’ Paradox in power grids

arXiv

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arXiv 2022年

作者： Schäfer, Benjamin Pesch, Thiemo Manik, Debsankha Gollenstede, Julian Lin, Guosong Beck, Hans-Peter Witthaut, Dirk Timme, Marc Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Faculty of Science and Technology Norwegian University of Life Sciences Ås1432 Norway School of Mathematical Sciences Queen Mary University of London United Kingdom Institute for Theoretical Physics Technical University of Dresden Dresden01062 Germany Jülich52428 Germany Göttingen37077 Germany Clausthal-Zellerfeld Germany Jülich52428 Germany Institute for Theoretical Physics University of Cologne Köln50937 Germany Lakeside Labs Lakeside B04b Klagenfurt9020 Austria

The ongoing energy transition requires power grid extensions to connect renewable generators to consumers and to transfer power among distant areas. The process of grid extension requires a large investment of resources and is supposed to make grid operation more robust. Yet, counter-intuitively, increasing the capacity of existing lines or adding new lines may also reduce the overall system performance and even promote blackouts due to Braess’ paradox. Braess’ paradox was theoretically modeled but not yet proven in realistically scaled power grids. Here, we present an experimental setup demonstrating Braess’ paradox in an AC power grid and show how it constrains ongoing large-scale grid extension projects. We present a topological theory that reveals the key mechanism and predicts Braessian grid extensions from the network structure. These results offer a theoretical method to understand and practical guidelines in support of preventing unsuitable infrastructures and the systemic planning of grid extensions. © 2022, CC BY.

关键词： Investments

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Future Networks 2030: Challenges in Intelligent Transportation Systems 8

Future Networks 2030: Challenges in Intelligent Transportati...

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8th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2020

作者： Pop, Madalin-Dorin Pandey, Jitendra Ramasamy, Velmani University of Timioara Automation and Applied Informatics Timioara Romania Middle East College Department of Computing Muscat Oman Siddhartha Institute of Technology and Sciences Department of Electronics and Communication Engineering Narapally Hyderabad India

ISBN: (纸本)9781728170169

Many cities around the world implement the Intelligent Transportation Systems (ITS) concept to reduce road traffic congestion. This concept implies the usage of Internet of Things (IoT) technologies to ensure a better traffic flow, especially in crowded urban areas. Sensors networks became part of road infrastructure and have as main responsibilities to collect real-time traffic data and to send them to Traffic Management Centres (TMCs) which control further the traffic lights timings. Today's technologies meet some limitations in terms of efficiency. This paper starts with an overview of these limitations to create a path for discussing the challenges that the development of ITS will meet in the context of Future Networks (FN) 2030 concept. Based on this development path, the identification of current limitations and possible future challenges consists of an important step of this research. Further, the main contribution in this research is to show how the ITS shall adapt to meet the requirements of FN 2030 by providing an architecture for Future ITS 2030 that meets the general ITS needs. © 2020 IEEE.

关键词： Internet of things

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Self-Injection-Locked Kerr Soliton Microcombs With Photonic Wire Bonds For Use in Terahertz Communications

Self-Injection-Locked Kerr Soliton Microcombs With Photonic ...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Y. Chen H. Peng D. Fang J. Dittmer G. Lihachev A. Voloshin S. T. Skacel M. Lauermann A. Tessmann S. Wagner S. Bhave I. Kallfass T. Zwick W. Freude S. Randel T. J. Kippenberg C. Koos Inst. of Photon. & Quant. Electron.(IPQ) Inst. of Microstruct. Technol. (IMT) Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Deeplight S.A. Lausanne Switzerland Vanguard Automation GmbH Karlsruhe Germany Fraunhofer Institute for Applied Solid State Physics (IAF) Freiburg Germany OxideMEMS Lab Purdue University USA Inst. of Robust Power Semiconductor Systems University of Stuttgart Germany Inst. of Radio Frequency Engineering and Electronics (IHE) Karlsruhe Institute of Technology (KIT) Germany

We demonstrate single-soliton Kerr-comb generators, exploiting photonic wire bonds to connect Si 3 N 4 resonators and self-injection-locked InP pump lasers. The assembly is used to generate a 0.302 THz carrier for 16... 详细信息

ISBN: (纸本)9781957171258

关键词： Distributed feedback lasers Frequency combs Injection locking Laser resonators Phase noise Ring resonators

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Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe

arXiv

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arXiv 2022年

作者： Böttcher, Philipp C. Gorjão, Leonardo Rydin Beck, Christian Jumar, Richard Maass, Heiko Hagenmeyer, Veit Witthaut, Dirk Schäfer, Benjamin Jülich52428 Germany Department of Computer Science OsloMet – Oslo Metropolitan University OsloN-0130 Norway Queen Mary University of London School of Mathematical Sciences Mile End Road LondonE1 4NS United Kingdom The Alan Turing Institute 96 Euston Road LondonNW1 2DB United Kingdom Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Institute for Theoretical Physics University of Cologne Köln50937 Germany

When Russia invaded Ukraine on the 24th of February 2022, this led to many acts of solidarity with Ukraine, including support for its electricity system. Just 20 days after the invasion started, the Ukrainian and Moldovan power grids were synchronized to the Continental European power grid to provide stability to these grids. Here, we present an initial analysis of how this synchronization affected the statistics of the power grid frequency and cross-border flows of electric power within Continental Europe. We observe faster inter-area oscillations, an increase in fluctuations and changes in the cross-border flows in and out of Ukraine and surrounding countries as an effect of the synchronization with Continental Europe. Overall these changes are small such that the now connected system can be considered as stable as before the synchronization. Copyright © 2022, The Authors. All rights reserved.

关键词： Synchronization

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Heuristics for Transmission Expansion Planning in Low-Carbon Energy System Models

Heuristics for Transmission Expansion Planning in Low-Carbon...

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International Conference on European Electricity Market, EEM

作者： Fabian Neumann Tom Brown Institute for Automation and Applied Informatics Karlsruhe Institute of Technology

Governments across the world are planning to increase the share of renewables in their energy systems. The siting of new wind and solar power plants requires close coordination with grid planning, and hence co-optimization of investment in generation and transmission expansion in spatially and temporally resolved models is an indispensable but complex problem. Particularly considerations of transmission expansion planning (TEP) add to the problem's complexity. Even if the power flow equations are linearized, the optimization problem is still bilinear and mixed-integer due to the dependence of line expansion on line impedance and a discrete set of line expansion options. While it is possible to linearize this mixed-integer nonlinear program (MINLP) by applying a big-M disjunctive relaxation, the resulting MILP is still hard to solve using state-of-the-art solvers for large-scale energy system models. In this paper we therefore develop heuristics to incorporate integer transmission expansion and responsive line impedances in energy system models, while retaining the lower computational effort of continuous linear programming (LP) by applying sequential linear programming (SLP) techniques, relaxation and discretization approaches. We benchmark their performance against the results of the exact formulation for a policy-relevant case study of the German transmission system in terms of their speed-up in computation time, deviation from optimal total system cost, and similarity of line expansion. Using heuristics we reduce computation times of joint generation and transmission optimisation by 82% with a maximal total system cost deviation of only 1.5%. The heuristics closely mirror optimal integer line investment of the exact MINLP with considerable time savings for policy-relevant low-carbon energy system optimization models.

关键词： Investment Optimization Planning Mathematical model Linear programming Computational modeling Generators

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Heuristics for Transmission Expansion Planning in Low-Carbon Energy System Models

arXiv

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arXiv 2019年

作者： Neumann, Fabian Brown, Tom Institute for Automation and Applied Informatics Karlsruhe Institute of Technology

Governments across the world are planning to increase the share of renewables in their energy systems. The siting of new wind and solar power plants requires close coordination with grid planning, and hence co-optimization of investment in generation and transmission expansion in spatially and temporally resolved models is an indispensable but complex problem. Particularly considerations of transmission expansion planning (TEP) add to the problem’s complexity. Even if the power flow equations are linearized, the optimization problem is still bilinear and mixed-integer due to the dependence of line expansion on line impedance and a discrete set of line expansion options. While it is possible to linearize this mixed-integer nonlinear program (MINLP) by applying a big-M disjunctive relaxation, the resulting MILP is still hard to solve using state-of-the-art solvers for large-scale energy system models. In this paper we therefore develop heuristics to incorporate integer transmission expansion and responsive line impedances in energy system models, while retaining the lower computational effort of continuous linear programming (LP) by applying sequential linear programming (SLP) techniques, relaxation and discretization approaches. We benchmark their performance against the results of the exact formulation for a policy-relevant case study of the German transmission system in terms of their speed-up in computation time, deviation from optimal total system cost, and similarity of line expansion. Using heuristics we reduce computation times of joint generation and transmission optimisation by 82% with a maximal total system cost deviation of only 1.5%. The heuristics closely mirror optimal integer line investment of the exact MINLP with considerable time savings for policy-relevant low-carbon energy system optimization models. Copyright © 2019, The Authors. All rights reserved.

关键词： Expansion

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