Institute of
Cognitive Integrated Sensor Systems
Prof. Dr.-Ing. Andreas König
Institute of
Cognitive Integrated Sensor Systems
Prof. Dr.-Ing. Andreas König
List of 2019 publications
Andreas König. IndusBee 4.0 - Sensorik und maschinelles Lernen für optimierte Bienenhaltung und Imkerassistenz. Eingeladener Vortrag im Rahmen der Hans Eisenmann-Akademie (Abstract, YouTube), 16. Mai, Hans Eisenmann-Forum für Agrarwissenschaften, TU München, 2019
Alraho, S. and König, A. (2019). Wide input range, fully-differential indirect current feedback instrumentation amplifier for self-x sensory systems/Symmetrischer Instrumentierungsverstärker mit indirekter Stromgegenkopplung und hoher Eingangsignalspanne für integrierte Sensorsysteme mit Self-x-Eigenschaften.tm-Technisches Messen, 86(s1), s62-s66.
S. Alraho and A. Koenig. Improved indirect current feedback instrumentation amplifier for self-x sensory systems. In Abstracts of Workshop Analogschaltungen WAS 2019, 7.-8. März, Universität Stuttgart, 2019.
Zaman, Q. and König, A. (2019). Self-x integrated sensor circuits immune to measurement noise in the presence of input perturbation by using robust optimization/Integrierte Sensorelektronik mit Self-x Eigenschaften und verbesserter Immunität gegenüber Rauscheinflüssen bei der Messung und Störung der Eingangsgrössen durch ein robustes Optimierungsverfahren. tm-Technisches Messen, 86(s1), s107-s111.
A. König, Extending Bee Hive Health State Monitoring by Integrated Acoustical Sensing and Machine Learning, in Proc. 5th Int. Conf. on Sensors and Electronic Instrumentation Advances (SEIA 2019), Canary Islands (Tenerife), Spain, Sept. 25-27, 2019.
A. König, VarroaCounter - Towards Automating the Varroa Screening for Alleviated Bee Hive Treatment, in Proc. 5th Int. Conf. on Sensors and Electronic Instrumentation Advances (SEIA 2019), Canary Islands (Tenerife), Spain, Sept. 25-27, 2019.
Andreas König, IndusBee4.0 -- Integrated Intelligent Sensory Systems for Advanced Bee Hive Instrumentation and Hive Keeper's Assistance Systems, Sensors & Transducers Journal, 237.9-10, pp. 109-121, 2019
List of 2020 publications
Hamam Abd and Andreas König, A Compact Four Transistor CMOS-Design of a Floating Memristor for Adaptive Spiking Neural Networks and Corresponding Self-X Sensor Electronics to Industry 4.0, tm - Technisches Messen, Vol. 87:Issue S1, 28 Aug., 2020 DOI: 10.1515/teme-2020-0024
Qummar Zaman, Senan Alraho, and Andreas König, Low-Cost Indirect Measurement Methods for Self-X Integrated Sensory Electronics for Industry 4.0, tm - Technisches Messen, Vol. 87:Issue S1, 28 Aug., 2020 DOI: 10.1515/teme-2020-0020
Senan Alraho, Qummar Zaman, and Andreas König, Reconfigurable Wide Input Range, Fully-Differential Indirect Current-Feedback Instrumentation Amplifier with Digital Offset Calibration for Self-X Measurement Systems, tm- Technisches Messen, Vol. 87:Issue S1, 28 Aug., 2020 DOI: 10.1515/teme-2020-0021
A. König. Integrated Intelligent Sensor Systems for In-Hive Varroa Infestation Control in Digital Bee Keeping. in Proc. of SMSI 2020, Vol. Sensors and Instrumentation, Chapter B3 Biosensors and Sensors for Biology, pp. 111--112, 2020. DOI 10.5162/SMSI2020/B3.1
Q. Zaman, S. Alraho, and A. König. Robust Optimization of Self-X Sensory Electronics in Presence of Environmental Variations for Industry 4.0. in Proc. of SMSI 2020, Vol. Measurement Science, Chapter D5 Advanced Methods \& Measurement Systems, pp. 295--296, 2020. DOI 10.5162/SMSI2020/D5.2
List of 2021 publications
S. Alraho, Q. Zaman, and A. König, Predicting the analog integrated circuit performance using indirect measurements based on simulations, Sensor and Measurement SMSI Science International (SMSI), 2021. doi: 10.5162/SMSI2021/D10.4
Q. Zaman, S. Alraho, and A. König, Swarm-based multi-objective design optimization of single-plate condenser mems microphone, Sensor and Measurement SMSI Science International (SMSI), 2021. doi: 10.5162/SMSI2021/A5.2.
H. Abd and A. König, Adaptive spiking sensor electronics inspired by biological nervous system based on memristor emulator for industry 4.0 applications, Sensor and Measurement SMSI Science International (SMSI), 2021.doi:10.5162/SMSI2021/D10.3
A. König, Cognitive Integrated Sensor Systems for In-Hive Varroa Infestation Level Estimation based on Temperature-Modulated Gas Sensing, Sensor and Measurement SMSI Science International (SMSI), 2021.
A. König, BeE-Nose - An In-Hive Multi-Gas-Sensor Extension to the IndusBee4.0 System for Hive Air Quality Monitoring and Varroa Infestation Level Estimation, in "Advances in Signal Processing: Reviews", Book Series (S. Y. Yurish, Ed.), IFSA Publishing, Vol. 2, 2021, pp. 443-463.
Andreas König, First Results of the BeE-Nose on Mid-Term Duration Hive Air Monitoring for Varroa Infestation Level Estimation, Sensors & Transducers Journal, 250.3, March, pp. 39-43 , 2021
H. Abd and A. König, Adaptive spiking sensor system based on cmos memristors emulating long and short-term plasticity of biological synapses for industry 4.0 applications, tm-Technisches Messen, vol. 88, no. s1, pp. 114 - 119, 2021. url: https://doi.org/10.1515/teme-2021-0057
S. Alraho, Q. Zaman, and A. König, Wide programmable range fourth-order, fully-differential sallen-key mosfet-c lpf for impedance spectroscopy measurements and self-x sensory electronics in industry 4.0, tm-Technisches Messen, vol. 88, no. s1, pp. 77 - 82, 2021. url: https://doi.org/10.1515/teme-2021-0064
Q. Zaman, S. Alraho, and A. König, Gaussian process regression based robust optimization with observer uncertainty for reconfigurable self-x sensory electronics for industry 4.0, tm-Technisches Messen, vol. 88, no. s1, pp. 83 - 88, 2021. url: https://doi.org/10.1515/teme-2021-0061
Q. Zaman, S. Alraho, and A. König, Efficient transient testing procedure using a novel experience replay particle swarm optimizer for thd-based robust design and optimization of self-x sensory electronics in industry 4.0, Journal of Sensors and Sensor Systems, vol. 10, no. 2, pp. 193 - 206, 2021. url: https://doi.org/10.5194/jsss-10-193-2021.
A. König, Self-X Sensory Systems: Robust Information Representation and Processing in Adaptive Architecture, Invited Talk, 10. VDI-Fachtagung Messunsicherheit praxisgerecht bestimmen - Prüfprozesse in der industriellen Praxis 2021, Der Weg zum sicheren Messen und Prüfen, Erfurt, 10. und 11. November, in VDI-Berichte Nr. 2390, p. 247-251, 2021.
List of 2022 publications
Hamam Abd and Andreas König. Design of a CMOS memristor emulator-based, self-adaptive spiking analog-to-digital data conversion as the lowest level of a self- x hierarchy. In: Journal of Sensors and Sensor Systems 11.2 (2022), pp. 233-262. url: https://doi.org/10.5194/jsss-11-233-2022.
Senan Alraho, Qummar Zaman, and Andreas König. Quasi-Digital CMOS Temperature Sensor for on-Chip Thermal Monitoring of Self-X Systems. In: Sensors and Measuring Systems; 21th ITG/GMA-Symposium. VDE. 2022, pp. 1-5.
Senan Alraho, Qummar Zaman, Hamam Abd, and Andreas König. Integrated Sensor Electronic Front-Ends with Self-X Capa- bilities. In: Chips 1.2 (2022), pp. 83-120. url: https://doi.org/10.3390/chips1020008.
Qummar Zaman, Senan Alraho, and Andreas Koenig. Low-Cost Efficient Indi- rect Power Monitoring Method for Optimization of Reconfigurable Analog Read- out Circuits with Self-X Capabilities. In: Sensors and Measuring Systems; 21th ITG/GMA-Symposium. VDE. 2022, pp. 1-5.
A. König, An in-hive soft sensor based on phase space features for Varroa infestation level estimation and treatment need detection, Journal of Sensors and Sensor Systems, Vol. 11, No. 1, pp. 29-40, 2022, doi 10.5194/jsss-11-29-2022
List of 2023 publications
Hamam Abd and Andreas König. Biological Neural Coding for Adaptive Spiking Analog to Digital Conversion. In: (2023), pp. 270-271. doi: DOI10.5162/ SMSI2023/E6.4.
Hamam Abd and Andreas König. Characterization of Adaptive Implementation of Neuromorphic Spiking Sensory Systems On-Chip with Self-X Abilities. In: tm-Technisches Messen (2023).
Hamam Abd and Andreas König. On-Chip Adaptive Implementation of Neuromorphic Spiking Sensory Systems with Self-X Capabilities. In: Chips 2.2 (2023), pp. 142-158. url:https://doi.org/10.3390/chips2020009.
Senan Alraho, Qummar Zaman, and Andreas Koenig. Hierarchical Digital Offset Voltage Trimming of Fully-Differential Amplifiers in Self-X Sensor Electronics. In: SMSI 2023 Conference – Sensor and Measurement Science International. 2023, pp. 264-265. doi: DOI10.5162/SMSI2023/E6.1.
Senan Alraho, Qummar Zaman, and Andreas Koenig. In-Field Dynamic Perfor- mance Optimization of Sensory Readout Electronics with Self-X Properties using Low Cost and Power-Efficient Indirect Measurement Method. In: tm-Technisches Messen (2023).
Elena Gerken and Andreas König. Concept of a Self-X Sensory System and its first implementation on an XMR-based Angular Decoder Demonstrator. In: (2023), pp. 57-58. doi: DOI10.5162/SMSI2023/A4.3.
Elena Gerken et al. Development of a Self-X Sensory Electronics for Anomaly Detection and its Conceptual Implementation on an XMR-based Angular Decoder Prototype. In: tm-Technisches Messen (2023).
Qummar Zaman, Senan Alraho, and Andreas König. Low-Cost Indirect Measure- ments for Power-Efficient In-Field Optimization of Configurable Analog Front- Ends with Self-X Properties: A Hardware Implementation. In: Chips 2.2 (2023), pp. 102-129. url: https://doi.org/10.3390/chips2020007