TY - GEN A1 - Pechmann, Stefan A1 - Mai, Timo A1 - Völkel, Matthias A1 - Mahadevaiah, Mamathamba Kalishettyhalli A1 - Pérez, Eduardo A1 - Perez-Bosch Quesada, Emilio A1 - Reichenbach, Marc A1 - Wenger, Christian A1 - Hagelauer, Amelie T1 - A Versatile, Voltage-Pulse Based Read and Programming Circuit for Multi-Level RRAM Cells T2 - Electronics N2 - In this work, we present an integrated read and programming circuit for Resistive Random Access Memory (RRAM) cells. Since there are a lot of different RRAM technologies in research and the process variations of this new memory technology often spread over a wide range of electrical properties, the proposed circuit focuses on versatility in order to be adaptable to different cell properties. The circuit is suitable for both read and programming operations based on voltage pulses of flexible length and height. The implemented read method is based on evaluating the voltage drop over a measurement resistor and can distinguish up to eight different states, which are coded in binary, thereby realizing a digitization of the analog memory value. The circuit was fabricated in the 130 nm CMOS process line of IHP. The simulations were done using a physics-based, multi-level RRAM model. The measurement results prove the functionality of the read circuit and the programming system and demonstrate that the read system can distinguish up to eight different states with an overall resistance ratio of 7.9. KW - RRAM KW - Multilevel switching KW - Programming circuit Y1 - 2021 U6 - https://doi.org/10.3390/electronics10050530 SN - 2079-9292 VL - 10 IS - 5 ER - TY - CHAP A1 - Sarivan, Ioan-Matei A1 - Baumann, Stefan Andreas A1 - Díez Álvarez, Daniel A1 - Euteneuer, Felix A1 - Reichenbach, Matthias A1 - Berger, Ulrich A1 - Madsen, Ole A1 - Bøgh, Simon ED - Weißgraeber, Philipp ED - Heieck, Frieder ED - Ackermann, Clemens T1 - Deep Learning-Enabled Real Time In-Site Quality Inspection Based On Gesture Classification T2 - Advances in Automotive Production Technology – Theory and Application; Stuttgart Conference on Automotive Production (SCAP2020) N2 - In this paper we present a novel method for performing in site real time quality inspection (QI) and consequently, digitalization of manual processes performed by human workers. It complements and improves our previous work in this area, which makes use of telemetry gathered from a smartwatch to classify manual actions as successful or unsuccessful. This new methodology provides the worker with a real time capable, robust and more accurate quality inspector. This work enhances the existing system through the elimination of input from the user by making use of a BIOX bracelet that detects gestures. The signal processing and classification methods are simplified and optimised by using assembled neural networks thus merging together the data gathered from multiple signal sources. Consequently, the overall QI system is improved with around 70%, thus furthering the necessary development needed to have a system ready to be used on a production environment. Y1 - 2021 SN - 978-3-662-62961-1 U6 - https://doi.org/10.1007/978-3-662-62962-8_26 SP - 221 EP - 229 PB - Springer CY - Berlin ER - TY - GEN A1 - Shahin, Keyvan A1 - Rotta, Randolf A1 - Archila, Oscar A1 - Mykytyn, Pavlo A1 - Nattke, Matthias A1 - Reichenbach, Marc A1 - Nolte, Jörg A1 - Natarov, Roman T1 - A Modular Communication Architecture for Adaptive UAV Swarms T2 - 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS) N2 - Small Unmanned Aerial Vehicles (UAVs) have vast application potential from industrial logistics and disaster monitoring to smart farming, for example, to create maps with Normalized Difference Vegetation Index (NDVI) cameras and AI-based image classification or the precision spot application of fertilizers. Operating multiple UAVs in parallel, including those with different specializations, enables efficient coverage of large areas. While existing research focused mainly on predefined flight formations for swarms or autonomous missions for single UAVs, the focus of this work is on multiple UAVs with individually adaptable missions. We derive communication system requirements from swarm coordination algorithms and present a respective design. The resulting modular architecture enables future research on autonomous adaptive UAV swarms and their use as flying sensor platforms. Y1 - 2023 SN - 979-8-3503-4647-3 SN - 979-8-3503-4648-0 U6 - https://doi.org/10.1109/COINS57856.2023.10189245 PB - IEEE CY - Berlin ER -