TY - JOUR A1 - Banos, Oresti A1 - Damas, Miguel A1 - Pomares, Hector A1 - Rojas, Ignacio A1 - Villalonga, Claudia A1 - Glösekötter, Peter T1 - PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring JF - Hindawi Publishing Corporation The Scientific World Journal Y1 - 2014 SP - 1 EP - 12 ER - TY - CHAP A1 - Rebel, Gregor A1 - Estevez, Francisco A1 - Glösekötter, Peter T1 - Energy Efficiency Study of representative Microcontrollers for Wearable Electonics T2 - International Work-Conference on Bioinformatics and Biomedical Engineering Y1 - 2015 SP - 65 EP - 76 PB - Springer International Publishing Switzerland CY - Granada (Spain) ER - TY - CHAP A1 - Romero, Adrian A1 - Estevez, Francisco A1 - Rebel, Gregor A1 - Glösekötter, Peter A1 - Conzáles, Jesús T1 - Distance Estimate with Ultra Wide Band in Interior Environments T2 - Proceedings of Jornadas de Computación Empotrada de Espana (JCE) Y1 - 2015 CY - Cordoba (Spain) ER - TY - CHAP A1 - Wansing, Christian A1 - Banos, Oresti A1 - Pomares, Hector A1 - Glösekötter, Peter A1 - Rojas Ruiz, Ignacio ED - Junta de Andalucia Project P12-TIC-2082., Conference Paper T1 - Development of a platform for the exchange of biodatasets with integrated opportunities for artificial intelligence using MatLab N2 - This paper deals with the issue of automating the process of machine learning and analyzing bio-datasets. For this a user-friendly website has been developed for the interaction with the researchers. On this website it is possible to upload datasets and to share them, if desired, with other scientists. The uploaded data can also be analyzed by various methods and functions. The signals inside these datasets can also be visualized. Furthermore several algorithms have been implemented to create machine learning models with the uploaded data. Based on these generated models new data can be classified or calculated. For all these applications the simplest possible handling was implemented to make the website available to all interested researchers. KW - M-health, machine learning, website Y1 - 2015 U6 - http://dx.doi.org/10.1109/ICoCS.2015.7483278 SP - 1 EP - 6 ER - TY - JOUR A1 - Löchte, Andre A1 - Gebert, Ole A1 - Heming, Daniel A1 - Sanders, Tilmann A1 - Glösekötter, Peter T1 - State of Charge estimation of zinc air batteries using electrochemical impedance spectroscopy JF - Neural Computing and Applications Y1 - 2018 VL - 2018 SP - 1 EP - 9 PB - Springer ER - TY - CHAP A1 - Löchte, Andre A1 - Gebert, Ole A1 - Horsthemke, Ludwig A1 - Heming, Daniel A1 - Glösekötter, Peter T1 - State of Charge Depended Modeling of an Equivalent Circuit of Zinc Air Batteries Using Electrochemical Impedance Spectroscopy T2 - International Conference on Time Series and Forecasting: Proceedings of Papers, 19-21 September 2018, Granada (Spain) N2 - Metal air batteries provide a high energy density as the ca-thodic reaction uses the surrounding air. Different metals can be usedbut zinc is very promising due to its disposability and nontoxic behav-ior. State estimation is quite complicated as the voltage characteristicof the battery is rather flat. Especially estimating the state of chargeis important as a secondary electrolysis process during overcharging canlead to an unsafe state. Another technique for state estimation is theelectrochemical impedance spectroscopy. Therefore, this paper describesthe process of setup and measuring a time series of impedance spectraat known states of charge. Then these spectra are used to derive anequivalent circuit. Finally the development of the circuit’s parameter areanalyzed to extract most important parameters. Y1 - 2018 SN - 978-84-17293-57-4 SP - 625 EP - 636 ER - TY - CHAP A1 - Löchte, Andre A1 - Gebert, Ole A1 - Heming, Daniel A1 - Kallis, Klaus A1 - Glösekötter, Peter ED - Springer, Axel T1 - State estimation of zinc air batteries using neural networks T2 - IWANN 2017: Advances in Computational Intelligence N2 - The main task of battery management systems is to keep the working area of the battery in a safe state. Estimation of the state of charge and the state of health is therefore essential. The traditional way uses the voltage level of a battery to determine those values. Modern metal air batteries provide a flat voltage characteristic which necessitates new approaches. One promising technique is the electrochemical impedance spectroscopy, which measures the AC resistance for a set of different frequencies. Previous approaches match the measured impedances with a nonlinear equivalent circuit, which needs a lot of time to solve a nonlinear least-squares problem. This paper combines the electrochemical impedance spectroscopy with neural networks to speed up the state estimation using the example of zinc air batteries. Moreover, these networks are trained with different subsets of the spectra as input data in order to determine the required number of frequencies. Y1 - 2018 U6 - http://dx.doi.org/10.1007/s00521-018-3705-9 SN - 0941-0643 VL - 2018 SP - 1 EP - 9 ER - TY - JOUR A1 - Löchte, Andre A1 - Heming, Daniel A1 - Gebert, Ole A1 - Horsthemke, Ludwig A1 - Glösekötter, Peter T1 - Oxygen consumption of zinc-air batteries and theirperformance at low oxygen concentration levels JF - 2018 16th Biennial Baltic Electronics Conference (BEC) N2 - Already existing primary Zinc-air batteries providea high energy density. Due to new secondary cells, its tech-nology can become an alternative for energy storage. Sincethese applications require a big amount of storable energy, theoxygen consumption has to be taken into account. This articledetermines the oxygen consumption of zinc-air batteries duringdischarging. Furthermore the performance of zinc-air batteries atlow oxygen concentrations is analyzed. Both aspects are validatedby practical experiments. Y1 - 2018 U6 - http://dx.doi.org/10.1109/BEC.2018.8600972 SP - 1 EP - 4 ER - TY - RPRT A1 - Annas, Sven A1 - Jantzen, Hans-Arno A1 - Scholz, Jürgen A1 - Glösekötter, Peter A1 - Wetter, Christof T1 - Vorhabensbezeichnung: IngenieurNachwuchs2014: Ein neues Entwicklungswerkzeug für die Optimierung von Rührsystemen in Biogas-Fermentern unter Einsatz der Wireless Sensor Networks (WSN)-Technik in Kombination mit CFD : Schlussbericht : Berichtszeitraum: 01.11.2014 bis 31.12.2018 KW - Rührwerkoptimierung Y1 - 2019 UR - https://www.tib.eu/de/suchen/download/?tx_tibsearch_search%5Bdocid%5D=TIBKAT%3A1672326753&cHash=cc52271c2cd6579c95da17f00a67ad3c#download-mark U6 - http://dx.doi.org/10.2314/KXP:1672326753 ER - TY - JOUR A1 - Weiss, Robin A1 - Glösekötter, Peter A1 - Prestes, Edson A1 - Kolberg, Mariana ED - Springer, T1 - Hybridisation of Sequential Monte Carlo Simulation with Non-linear Bounded-error State Estimation Applied to Global Localisation of Mobile Robots JF - Journal of Intelligent & Robotic Systems N2 - Accurate self-localisation is a fundamental ability of any mobile robot. In Monte Carlo localisation, a probability distribution over a space of possible hypotheses accommodates the inherent uncertainty in the position estimate, whereas bounded-error localisation provides a region that is guaranteed to contain the robot. However, this guarantee is accompanied by a constant probability over the confined region and therefore the information yield may not be sufficient for certain practical applications. Four hybrid localisation algorithms are proposed, combining probabilistic filtering with non-linear bounded-error state estimation based on interval analysis. A forward-backward contractor and the Set Inverter via Interval Analysis are hybridised with a bootstrap filter and an unscented particle filter, respectively. The four algorithms are applied to global localisation of an underwater robot, using simulated distance measurements to distinguishable landmarks. As opposed to previous hybrid methods found in the literature, the bounded-error state estimate is not maintained throughout the whole estimation process. Instead, it is only computed once in the beginning, when solving the wake-up robot problem, and after kidnapping of the robot, which drastically reduces the computational cost when compared to the existing algorithms. It is shown that the novel algorithms can solve the wake-up robot problem as well as the kidnapped robot problem more accurately than the two conventional probabilistic filters. KW - Interval analysis · Particle filtering · Kalman filtering · Bayesian filtering · Sequential Monte Carlo simulation · Bounded-error estimation Y1 - 2019 U6 - http://dx.doi.org/10.1007/s10846-019-01118-7 SP - 1 EP - 23 ER -