TY - JOUR A1 - Zimmer, C. M. A1 - Asbeck, C. A1 - Lützenkirchen-Hecht, D. A1 - Glösekötter, P. A1 - Kallis, K. T1 - Backside Illumination of an Electronic Photo Ionization Detector Realized by UV Transparent Thin Films JF - Journal of Nano Research Y1 - 2013 U6 - http://dx.doi.org/10.4028 VL - 25 SP - 55 EP - 60 ER - TY - JOUR A1 - Löchte, Andre A1 - Rojas Ruiz, Ignacio A1 - Glösekötter, Peter T1 - Battery State Estimation with ANN and SVR Evaluating Electrochemical Impedance Spectra Generalizing DC Currents JF - Applied Sciences N2 - The demand for energy storage is increasing massively due to the electrification of transport and the expansion of renewable energies. Current battery technologies cannot satisfy this growing demand as they are difficult to recycle, as the necessary raw materials are mined under precarious conditions, and as the energy density is insufficient. Metal–air batteries offer a high energy density as there is only one active mass inside the cell and the cathodic reaction uses the ambient air. Various metals can be used, but zinc is very promising due to its disposability and non-toxic behavior, and as operation as a secondary cell is possible. Typical characteristics of zinc–air batteries are flat charge and discharge curves. On the one hand, this is an advantage for the subsequent power electronics, which can be optimized for smaller and constant voltage ranges. On the other hand, the state determination of the system becomes more complex, as the voltage level is not sufficient to determine the state of the battery. In this context, electrochemical impedance spectroscopy is a promising candidate as the resulting impedance spectra depend on the state of charge, working point, state of aging, and temperature. Previous approaches require a fixed operating state of the cell while impedance measurements are being performed. In this publication, electrochemical impedance spectroscopy is therefore combined with various machine learning techniques to also determine successfully the state of charge during charging of the cell at non-fixed charging currents. Keywords: electrochemical impedance spectroscopy; artificial neural networks; support vector regression; zinc-air battery; state estimation; state of charge KW - Battery State Estimation Y1 - 2021 SN - 978-84-1117-173-1 U6 - http://dx.doi.org/10.3390/app12010274 VL - 12 IS - 1 SP - 275 ER - TY - JOUR A1 - Glösekötter, P. A1 - Prost, W. A1 - Pacha, C. A1 - Kim, S. O. A1 - van Husen, H. A1 - Reimann, T. A1 - Tegude, F.- J. A1 - Goser, K. F. T1 - Circuit and Application Asepects of Tunneling Devices in a MOBILE configuration JF - Special Issue of the International Journal of Circuit Theory and Applications "Nanoelectronic Circuit", 31:83-103 (invited paper) Y1 - 2003 ER - TY - JOUR A1 - Pogorzelski, Jens A1 - Horsthemke, Ludwig A1 - Homrighausen, Jonas A1 - Stiegekötter, Dennis A1 - Gregor, Markus A1 - Glösekötter, Peter T1 - Compact and Fully Integrated LED Quantum Sensor Based on NV Centers in Diamond JF - Compact and Fully Integrated LED Quantum Sensor Based on NV Centers in Diamond N2 - Quantum magnetometry based on optically detected magnetic resonance (ODMR) of nitrogen vacancy centers in diamond nano or microcrystals is a promising technology for sensitive, integrated magnetic-field sensors. Currently, this technology is still cost-intensive and mainly found in research. Here we propose one of the smallest fully integrated quantum sensors to date based on nitrogen vacancy (NV) centers in diamond microcrystals. It is an extremely cost-effective device that integrates a pump light source, photodiode, microwave antenna, filtering and fluorescence detection. Thus, the sensor offers an all-electric interface without the need to adjust or connect optical components. A sensitivity of 28.32nT/Hz−−−√ and a theoretical shot noise limited sensitivity of 2.87 nT/Hz−−−√ is reached. Since only generally available parts were used, the sensor can be easily produced in a small series. The form factor of (6.9 × 3.9 × 15.9) mm3 combined with the integration level is the smallest fully integrated NV-based sensor proposed so far. With a power consumption of around 0.1W, this sensor becomes interesting for a wide range of stationary and handheld systems. This development paves the way for the wide usage of quantum magnetometers in non-laboratory environments and technical applications. KW - Diamond Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-175692 VL - 2024 IS - 24(3) ER - TY - JOUR A1 - Estévez, F. A1 - Rebel, G. A1 - González, J. A1 - Glösekötter, P. T1 - DARP: Dynamic and adaptive radio protocol for Wireless Sensor Networks JF - Electronics Letters Y1 - 2014 VL - 01/2014 ER - TY - JOUR A1 - Estevez, Francisco A1 - Rebel, G. A1 - González, J. A1 - Gloesekoetter, P. T1 - DARP: Dynamic and adaptive radio protocol for Wireless Sensor Networks JF - Electronics letters N2 - DARP is a new protocol proposal with some interesting features like dynamic roles and the use of virtual sub-networks. This article discusses about the wireless sensor network state of art and presents some desirable features in order to adapt these networks to new scenarios. These necessities are quite important to expand the applicability of wireless sensor networks and for this reason, here DARP is proposed. Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-8243 VL - 50 IS - 2 SP - 122 EP - 123 ER - TY - JOUR A1 - Pineres-Espitia, G. A1 - Cama-Pinto, A. A1 - De, D. A1 - rosa, la A1 - Morron, F. A1 - Estevez, D. T1 - Design of a low cost weather station for detecting environmental changes Y1 - 2017 SN - 0798 1015 VL - Vol. 38 IS - Revista Espacios ER - TY - JOUR A1 - Javier, Francisco A1 - Quiles, Manuel A1 - Ortiz, Andres A1 - Gersnoviez, Maria A1 - Brox, Alberto A1 - Olivares, Peter T1 - Development of a Wireless Low Power Datalogger with High Performance Converter JF - Elektrika ir Elektrotechnika Y1 - 2015 U6 - http://dx.doi.org/10.5755/j01.eee.21.3.1004 ER - TY - JOUR A1 - Homrighausen, Jonas A1 - Horsthemke, Ludwig A1 - Pogorzelski, Jens A1 - Trinschek, Sarah A1 - Glösekötter, Peter A1 - Gregor, Markus T1 - Edge-Machine-Learning-Assisted Robust Magnetometer Based on Randomly Oriented NV-Ensembles in Diamond JF - Sensors N2 - Quantum magnetometry based on optically detected magnetic resonance (ODMR) of nitrogen vacancy centers in nano- or micro-diamonds is a promising technology for precise magnetic-field sensors. Here, we propose a new, low-cost and stand-alone sensor setup that employs machine learning on an embedded device, so-called edge machine learning. We train an artificial neural network with data acquired from a continuous-wave ODMR setup and subsequently use this pre-trained network on the sensor device to deduce the magnitude of the magnetic field from recorded ODMR spectra. In our proposed sensor setup, a low-cost and low-power ESP32 microcontroller development board is employed to control data recording and perform inference of the network. In a proof-of-concept study, we show that the setup is capable of measuring magnetic fields with high precision and has the potential to enable robust and accessible sensor applications with a wide measuring range. Y1 - 2023 UR - https://www.mdpi.com/1424-8220/23/3/1119 U6 - http://dx.doi.org/10.3390/s23031119 VL - 23 IS - 3 ER - TY - JOUR A1 - Estévez, F. A1 - García, J. M. A1 - Secilla-Castillo, J. M. A1 - González, J. A1 - Glösekötter, P. T1 - Enabling validation of the IEEE 802.15.4 performance through a new dual-radio OMNeT++ model JF - Elektronika IR Electrotechnika Date: Accepted - Pending of Publication Y1 - 2016 SN - 1392-1215 VL - Vol. 22, No 3 IS - Impact Factor: 0.561 ER -