Institute of

Cognitive Integrated Sensor Systems

Prof. Dr.-Ing. Andreas König

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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.

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.

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.

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