Jahr Name
2022

Analyzing siRNA Concentration, Complexation and Stability in Cationic Dendriplexes by Stem-Loop Reverse Transcription-qPCR

M. Neugebauer, C. E. Grundmann, M. Lehnert, F. von Stetten, S. M. Früh, R. Süss

Pharmaceutics 2022, 14, 1348, doi: 10.3390/pharmaceutics14071348

2021

Replikation von Zwei-Photonen-Lithographie-Strukturen für die Produktion strukturierter Kunststoffmikrooptiken in der Tumordiagnostik

Stefan Wagner, Serhat Sahakalkan

photonics Flashlight, Fachmagazin

2021

Development and Construction of a Parameterizable Condition Classification System for Electromagnetic Proportional Valves using Neuronal Networks (Nemoh / Neuromorphe Hardware für Anwendungen mit KI)

D. Rossbach, M. Rüb, M. Kuderer, Y. Manoli

MikroSystemTechnik Congress 2021, 8-10 Nov. 2021, Stuttgart-Ludwigsburg, Germany

Kurzfassung einblenden

In this paper the development of a compact condition classification system for electromagnetic proportional valves is shown. It allows the generation of training data as well as a fast testing and comparison of different trained neuronal networks. By using quantization and pruning, a neuronal network with drastically reduced complexity has been created, so an FPGA implementation was possible. The developed and implemented network shows a very high classification rate and can distinguish 12 different error reasons of the valves. The system requires the measurement of the supply current only, which allows a simple integration of such a false detection circuitry into existing systems. In the future, the system can be modified easily, e.g. to use and test a hardware based AI accelerator instead of the FPGA implementation.

 

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2021

Entwurf einer CMOS-integrierten, rauscharmen Stromausleseschaltung mit niedriger Eingangskapazität für die medizinische Diagnostik via biologischer Nanoporen

M. Amayreh, S. Elsaegh, N. Butz, M. Kuderer, Y. Manoli

MikroSystemTechnik Kongress 2021, 08.11.2021 - 10.11.2021, Stuttgart-Ludwigsburg, Deutschland


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2021

A survey of machine-learning techniques for condition monitoringand predictive maintenance of bearings in grinding machines

S. Schwendemann, Z. Amjad, A. Sikora

Computers in Industry, Volume 125, Feb. 2021, 103380

Kurzfassung einblenden

It is important to minimize the unscheduled downtime of machines caused by outages of machine components in highly automated production lines. Considering machine tools such as, grinding machines, the bearing inside of spindles is one of the most critical components. In the last decade, research has increasingly focused on fault detection of bearings. In addition, the rise of machine learning concepts has also intensified interest in this area. However, up to date, there is no single one-fits-all solution for predictive maintenance of bearings. Most research so far has only looked at individual bearing types at a time.
This paper gives an overview of the most important approaches for bearing-fault analysis in grinding machines. There are two main parts of the analysis presented in this paper. The first part presents the classification of bearing faults, which includes the detection of unhealthy conditions, the position of the error (e.g. at the inner or at the outer ring of the bearing) and the severity, which detects the size of the fault. The second part presents the prediction of remaining useful life, which is important for estimating the productive use of a component before a potential failure, optimizing the replacement costs and minimizing downtime.

 

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2021

Latency reduction for narrowband URLLC networks: a performance evaluation

A. Zubair, K. A. Nsiah, B. Hilt, J.-P. Lauffenburger, A. Sikora

Wireless Networks 27, 2577-2593

Kurzfassung einblenden

Fifth-generation (5G) cellular mobile networks are expected to support mission-critical low latency applications in addition to mobile broadband services, where fourth-generation (4G) cellular networks are unable to support Ultra-Reliable Low Latency Communication (URLLC). However, it might be interesting to understand which latency requirements can be met with both 4G and 5G networks. In this paper, we discuss (1) the components contributing to the latency of cellular networks and (2) evaluate control-plane and user-plane latencies for current-generation narrowband cellular networks and point out the potential improvements to reduce the latency of these networks, (3) present, implement and evaluate latency reduction techniques for latency-critical applications. The two elements we detected, namely the short transmission time interval and the semi-persistent scheduling are very promising as they allow to shorten the delay to processing received information both into the control and data planes. We then analyze the potential of latency reduction techniques for URLLC applications. To this end, we develop these techniques into the long term evolution (LTE) module of ns-3 simulator and then evaluate the performance of the proposed techniques into two different application fields: industrial automation and intelligent transportation systems. Our detailed evaluation results from simulations indicate that LTE can satisfy the low-latency requirements for a large choice of use cases in each field.

 

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2021

A Novel Key Generation Method for Group-Based Physically Unclonable Function Designs

S. Abdolinezhad, L. Zimmermann, A. Sikora

MDPI Electronics, Volume 10, Issue 2. 2597, 1-12

Kurzfassung einblenden

In recent years, physically unclonable functions (PUFs) have gained significant attraction in IoT security applications, such as cryptographic key generation and entity authentication. PUFs extract the uncontrollable production characteristics of different devices to generate unique fingerprints for security applications. When generating PUF-based secret keys, the reliability and entropy of the keys are vital factors. This study proposes a novel method for generating PUF-based keys from a set of measurements. Firstly, it formulates the group-based key generation problem as an optimization problem and solves it using integer linear programming (ILP), which guarantees finding the optimum solution. Then, a novel scheme for the extraction of keys from groups is proposed, which we call positioning syndrome coding (PSC). The use of ILP as well as the introduction of PSC facilitates the generation of high-entropy keys with low error correction costs. These new methods have been tested by applying them on the output of a capacitor network PUF. The results confirm the application of ILP and PSC in generating high-quality keys.

 

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2021

Reaktives Fügen von temperaturempfindlichen Dehnungssensoren

A. Schumacher, V. Shah, S. Steckemetz, G. Dietrich, E. Pflug, T. Hehn, S. Knappmann, A. Dehé, A. Leson

Journal of Materials Engineering and Performance, Band 30, pp. 7796-7804


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2021

Reaktives Fügen von temperaturempfindlichen Dehnungssensoren

E. Pflug, A. Schumacher, G. Dietrich, S. Steckemetz, T. Hehn, S. Knappmann, A. Dehé, A. Leson

27. Neues Dresdner vakuumtechnisches Kolloquium (NDVaK), 17. - 18. März 2021, Online

2021

Telemetrische Verformungsmessung mit einem CMOS-integrierten Sensorchip

T. Hehn, H. Rietsche

Sensor und Test 2021, 04. - 06. Mai 2021, Online

2021

Joystick mit mehrachsigem Miniaturkraftsensor

T. Hehn

Innovationstag des Bundesministeriums für Wirtschaft und Energie (BMWi), 17.06.2021, Online

2021

Aufbau und Charakterisierung eines CMOS-integrierten Sensorsystems zur Messung von Verformungen

A. Schumacher, V. Shah, S. Knappmann, T. Hehn, A. Dehé

Mikrosystemtechnik-Kongress 2021, 9. - 10. November 2021, Ludwigsburg

2021

Multi-Axis Micro Force Sensor Based on a CMOS Integrated Chip

B. Folkmer, T. Hehn, M. Köhler, A. Willmann, D. Landler-Gärtner, A. Dehé

Mikrosystemtechnik-Kongress 2021, 9. - 10. November 2021, Ludwigsburg

2021

Multimodale effiziente und resiliente Lokalisierung für Intralogistik, Produktion und autonome Systeme im Rahmen der 2. Phase des Leistungszentrums Nachhaltigkeit Freiburg (MERLIN)

H. Scheithauer

Ministerium für Wirtschaft, Arbeit und Wohnungsbau, vertreten durch die L-Bank Karlsruhe, Baden-Württemberg
Aktenzeichen: 3-4332.62-HSG/87
Veröffentlichungen: Springer nature, Environment Systems and Decision, 41; MDPI Sensors 2021, 21, 6332

Kurzfassung einblenden

Zur Indoor-Navigation, die Anwendung in Intralogistik, Produktion und bei autonomen Systemen findet, wurden Methoden zur Verringerung der Störanfälligkeit untersucht. Mit drei verschiedenen Teilsystemen, nämlich Lokalisierung durch Ultraschall, Ultraweitbandfunk und Bildverarbeitung, wurden verschiedene Maßnahmen zur Sensordatenfusion erprobt, um die Performance zu steigern. Dabei diente das von Hahn-Schickard entwickelte Resilienzmaß technischer Systeme zur quantitativen Beurteilung. Die Teilsysteme wurden zunächst einzeln unter verschiedenen Störszenarien getestet. Danach fand eine Datenfusion aus Ultraschall- und Funklokalisierung mit den gleichen Störungen statt; zudem eine Dreierfusion, bei der die Bildverarbeitung hinzukam. Als Alternative zur Datenfusion diente eine mathematische Modifikation der Ultraschalllokalisierung, d.h. eine Arkustangens-Gewichtung der Störungen. Sie erbrachte im Vergleich zur Datenfusion eine annähernd gleiche Resilienzsteigerung, stellte aber im Sinne einer Kosten-Nutzen-Analyse den geringeren Optimierungsaufwand dar.

2021

A performance-based tabular approach for joint systematic improvent of risk control and resilience applied to telecommunication grid, gas network, and ultrasound localization system (MERLIN)

I.Häring, M. Fehling-Kaschek, N. Miller, K. Faist, S. Ganter, K. Srivastava, A.K. Jain, G. Fischer, J. Finger, A. Stolz, T. Leismann, S. Hiermaier, M. Carli, F. Battisti, R. Makri, G. Celozzi, M. Belesioti, E. Sfakianakis, E. Agrafioti, A. Chalkidou, G. Papadakis, C. Fuggini, F. Bolletta, A. Neri, G. Giunta, H. Scheithauer, F. Höflinger, D.J. Schott, C. Schindelhauer, S. Köhler, I. Linkov

Springer nature, Environment Systems and Decisions 41, 286–329 (2021)

Kurzfassung einblenden

Organizational and technical approaches have proven successful in increasing the performance and preventing risks at socio-technical systems at all scales. Nevertheless, damaging events are often unavoidable due to a wide and dynamic threat landscape and enabled by the increasing complexity of modern systems. For overall performance and risk control at the system level, resilience can be a versatile option, in particular for reducing resources needed for system development, maintenance, reuse, or disposal. This paper presents a framework for a resilience assessment and management process that builds on existing risk management practice before, during, and after potential and real events. It leverages tabular and matrix correlation methods similar as standardized in the field or risk analysis to fulfill the step-wise resilience assessment and management for critical functions of complex systems. We present data needs for the method implementation and output generation, in particular regarding the assessment of threats and the effects of counter measures. Also included is a discussion of how the results contribute to the advancement of functional risk control and resilience enhancement at system level as well as related practical implications for its efficient implementation. The approach is applied in the domains telecommunication, gas networks, and indoor localization systems. Results and implications are further discussed.

 

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2021

Characterization of hermetically sealed metallic feedthroughs through injection-molded epoxy-molding compounds

Mehmet Haybat, Thomas Guenther, Romit Kulkarni, Serhat Sahakalkan, Tobias Grözinger, Thilo Rothermel, Sascha Weser and André Zimmermann

Applied Mechanics, MPDI

Kurzfassung einblenden

Electronic devices and the associated sensors are exposed to increasing mechanical, ther- 12 mal and chemical stress in modern applications. In many areas of application, the electronics are 13 completely encapsulated with thermosets in a single process step using the injection molding tech- 14 nology, especially with epoxy molding compounds (EMC). The implementation of the connection 15 of complete systems for electrical access through a thermoset encapsulation is of particular im- 16 portance. In practice, metal pin contacts are used for this purpose, which are encapsulated together 17 with the complete system in a single injection molding process step. However, this procedure con- 18 tains also challenges because the interface between the metallic pins and the plastic represents a 19 weak point for reliability. In order to investigate the reliability of the interface, metallic pin contacts 20 made of copper-nickel-tin alloy (CuNiSn) and bronze (CuSn6) are encapsulated with standard EMC 21 materials within the scope of this study. The metal surfaces made of CuNiSn are further coated with 22 silver (Ag) and tin (Sn). An injection molding tool to produce test specimens is designed and man- 23 ufactured according to the design rules of EMC processing. The reliability of the metal-plastic in- 24 terfaces are investigated by means of shear and leak tests. The results of the investigations show 25 that the reliability of the metal-plastic joints can be increased by using different material combina- 26 tions.

2021

Simulation-Based Resilience Quantification of an Indoor Ultrasound Localization System in the Presence of Disruptions (MERLIN)

A. K. Jain, D. J. Schott, H. Scheithauer, I. Häring, F. Höflinger, G. Fischer, E.A.P. Habets, P. Gelhausen, C. Schindelhauer, S. J. Rupitsch

Sensors 2021, 21, 6332

Kurzfassung einblenden

Time difference of arrival (TDOA) based indoor ultrasound localization systems are prone to multiple disruptions and demand reliable and resilient position accuracy during operation. In this challenging context, a missing link to evaluate the performance of such systems is a simulation approach to test their robustness in the presence of disruptions. This approach cannot only replace experiments in early phases of development but could also be used to study susceptibility, robustness, response and recovery in case of disruptions. The paper presents a simulation framework for a TDOA-based indoor ultrasound localization system and ways to introduce different types of disruptions.This framework can be used to test the performance of TDOA-based algorithms in the presence of disruptions. Resilience quantification results are presented for representative disruptions. Based on these quantities, it is found that localization with arc-tangent cost functions is approximately 30% more resilient than the linear cost function. The simulation approach is shown to apply to resilience engineering and can be used to increase the efficiency and quality of indoor localization methods.

 

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2020

Practical aspects and limitations of hermeticity testing of micro-encapsulations using cumulative helium leak detection for miniaturized implantable medical devices

T. Guenther, A. Schwenck, P. Matteucci, R. Leigh, M. Svehla, A. Zimmermann, G.J. Suaning

ISSN: 2156-3985, Seite – bis Seite: 351 - 359, 2020

Kurzfassung einblenden

Hermeticity of an electronic package defines its effectiveness to seal and protect the encapsulated electronics from the ingress of contaminants, gases and moisture, as well as helping avoid toxic materials from inside the capsule contacting tissue. Using accelerated testing by methods of leak detection analysis, the theoretical limit of the lifetime due to water ingress of an encapsulated device can be estimated. However, classical methods are not sufficient for micro-encapsulations and exhibit limitations due to the resolution of the detection mechanisms required for such small cavities. With the availability of cumulative helium leak detection (CHLD) the detection limits can be extended by several magnitudes of resolution. However, limitations due to the physics of leakage apply. This paper discusses the limitations concerning the ability for combined gross, and fine leak testing in combination with outgassing effects using CHLD for miniaturized implantable medical devices. Practical aspects are evaluated regarding the applicability of CHLD for such micro encapsulations at the example of an AuSn sealed alumina package.

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2020

Open-Eco-Innovation for SMEs with Pan-European Key Enabling Technology Centres

F. Civelek, R. Kulkarni, K-P. Fritz, T. Meyer, C. Troulos, T. Günther, A. Zimmermann

Verlag: MDPI, Journal: Clean technologies, EISSN: 2571-8797, pp. von Seite – bis Seite 422-4399, European Union’s Horizon 2020 – Nr. 777441

Kurzfassung einblenden

The project “key enabling technologies for clean production” (KET4CP), which is supported by the European Commission, has the aim to connect small and medium-sized enterprises (SME) and Technology Centres (TC) for cleaner, greener and more efficient production. Within this context, SMEs and TCs across Europe work together to establish an open-innovation network and to raise awareness in productivity and environmental performance. This article presents how an open European network of TCs opens its innovation process to support SMEs to become cleaner, greener and more efficient. Furthermore, this article shows how the TCs and SMEs become a part of the open-eco-innovation platform in clean production and how successful the open-eco-innovation process of different European countries is. We revealed that a pan-European open innovation process for eco-innovations with TCs for key enabling technologies (KET TCs) and Enterprise Europe Network partners (EEN) is a successful approach for SMEs that want to produce and develop cleaner products. An application example is mentioned, in which TCs from different European countries have contributed to developing a product of a SME for energy harvesting. The SME, together with the TCs, developed a generator that is installed in city-level water supply pipes and so, it is outstanding in its application. This innovative application is also described in this article.

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2020

Coupled simulations for lifetime prediction of board level packages encapsulated by thermoset injection moulding based on the Coffin-Manson relation

R. Kulkarni, M. Soltani, S. Krafft, T. Grözinger, and A. Zimmermann

Elsevier Microelectronics Reliability,  2020


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