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Reference

181. A Modular Platform to Build Task Specific IoT Network Solutions for Agriculture and Forestry

Silvia Krug, Marco Goetze Sören Schneider Tino Hutschenreuther 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Pisa, Italy, November 06-08, 2023, pp. 820-825, DOI: https://doi.org/10.1109/MetroAgriFor58484.2023.10424104

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182. Plot-specific drought stress simulation in vineyards using a microclimatic monitoring system in combination with a radiation and water balance model

Rikard Graß, Hannah Boedeker Marco Hofmann Martin Schieck Silvia Krug Tino Hutschenreuther Hannes Mollenhauer 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Pisa, Italy, November 06-08, 2023, pp. 343-347, DOI: https://doi.org/10.1109/MetroAgriFor58484.2023.10424113

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183. iENA silver medal for “Circuit configuration to provide the charging energy for a level change on a signal bus, method for the calibration and signal transmission system”

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184. KODIAK: Components and modules for improved optical diagnostics

Michael Scholles, Nicole Isserstedt-John Dirk Kuhlmeier Martin Jahn Martin Reuter Benjamin Saft, Eric Schäfer Mirjam Skadell, Alexander Zimmer Ana Leonor H. Lopes MikroSystemTechnik Kongress 2023, 23. - 25. Oktober 2023, Dresden

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185. Automatisiertes Testen mikroelektronischer Schaltungen – Fuzzing findet Bugs in Hardware

Henning Siemen, Jonas Lienke Georg Gläser Elektronik, 21.2023, 18. Oktober 2023, Seite 64 - 67, ePaper: https://wfm-publish.blaetterkatalog.de/frontend/mvc/catalog/by-name/ELE?catalogName=ELE2321D

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186. Edge KI Systeme für die vorausschauende Instandhaltung

Sebastian Uziel, elmug4future, Technologiekonferenz, 17. - 18. Oktober 2023, Friedrichroda, Thüringen

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187. Prof. Ronny Stolz and Dr. Theo Scholtes, Leibniz-Institut für Photonische Technologien e.V. (Leibniz-IPHT)

„IMMS implemented the functionalities we needed, such as a lock-in amplifier, a phase-locked feedback loop and an active laser frequency stabilisation as an FPGA design. We would very much like to continue the cooperation with IMMS in future joint projects.“

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188. Andy Carius, Indu-Sol

„The joint work was characterised by many ideas and a great deal of commitment by IMMS. We will gladly turn to IMMS again in future projects, especially in the area of data evaluation and classification, as we very much appreciate this type of cooperation.“

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189. HoLoDEC

Close-up of a milling machine to which an approximately 2 x 2 cm small wireless circuit board with sensors and an illuminated LED is held.

IMMS researches ultra-low-power architectures (ULP) and circuit concepts as well as energy-efficient edge-AI systems with overall system energy modeling

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190. ProQuaOpt

IMMS is developing an AI-based control system for resource-efficient online optimisation of injection moulding