Author's Latest Posts


A Multi-Level Analog IC Design Flow For Fast Performance Estimation Using Template-Based Layout Generators And Structural Models


Analog IC design is a very challenging task as essential information is missing in the early design stages. Because the simulation of larger designs is exceedingly computationally expensive at lower abstraction levels, conservative assumptions are usually applied that often result in suboptimal performances such as area and power consumption. In order to enable both early performance estimates ... » read more

Machine Learning-Based Optimization Of Chiral Photonic Nanostructures: Evolution- And Neural Network-Based Design


Chiral photonics opens new pathways to manipulate light-matter interactions and tailor the optical response of metasurfaces and -materials by nanostructuring nontrivial patterns. Chirality of matter, such as that of molecules, and light, which in the simplest case is given by the handedness of circular polarization, have attracted much attention for applications in chemistry, nanophotonics and ... » read more

State-Space Model Of An Electro-Mechanical-Acoustic Contactless Energy Transfer System Based On Multiphysics Networks


Contactless energy transfer systems are mainly divided into acoustic, inductive, capacitive and optical, in which main applications are related to biomedical, wireless chargers and sensors in metal enclosures. When solids are used as transfer media, ultrasound transducers based on piezoelectricity can be used for through-wall power transfer, which can be named as electro-mechanical-acoustic con... » read more

A Framework For Ultra Low-Power Hardware Accelerators Using NNs For Embedded Time Series Classification


In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system. Optimization approaches for individual parts exist, such as quantization of the NN or analog calculation of arithmetic operations. However, there is no holistic approach for a complete embedded system design ... » read more

13000 FPS Vision System-on-Chip With Mixed-Signal Compressed Sensing


This paper presents a monolithic high-speed VSoC (Vision-System-on-Chip) with three software-programmable 16-bit ASIPs (application-specific instruction-set processors), a 1024-fold column-parallel data path of charge-based convolution functionality, freely configurable A/D conversion, 8-bit processor elements with 128 bytes of RAM each, and asynchronously compressing output of sparse column da... » read more

AI Goes Ultra Low Power — Part 1


Based on the concept of the new Federal Agency for Jump Innovations (PSRIN-D), the BMBF initiated three pilot innovation competitions. One of them presented the participants with the task of developing the most energy-efficient AI system possible as a hardware implementation on an ASIC or FPGA. With this, a stack of hundreds of two-minute long ECG signals should be analyzed with a minimum of en... » read more

Design Meets EDA: Gaps And Countermeasures In Analog/Mixed-Signal IC Design


Along the path from specification to silicon, the design of analog/mixed-signal chips comprises a variety of challenges. They are of technological, methodological, organizational, communicational, and business nature. Additionally, large gaps are to be managed among the individual challenges. Still up to now, approaches such as the “four eye principle” are used even in industrial practice i... » read more

Autoencoder-Based Characterisation Of Passive IEEE 802.11 Link Level Measurements


Wireless networks are indispensable in today’s industrial manufacturing and automation. Due to harsh signal propagation conditions as well as co-existing wireless networks, transmission failures resulting in severe application malfunctions are often difficult to diagnose. Remote wireless monitoring systems are extremely useful tools for troubleshooting such failures.However, the completeness ... » read more

An 8 Bit To 12 Bit Resolution Programmable 5 MSample/s Current Steering Digital-To-Analog Converter In A 22 nm FD-SOI CMOS Technology


Authors: Jeongwook Koh, Division Engineering of Adaptive Systems EAS, Fraunhofer Institute for Integrated Circuits IIS, Dresden, Germany Shishira S. Venkatesha, Dresden University of Technology, Dresden, Germany Sunil S. Rao, Division Engineering of Adaptive Systems EAS, Fraunhofer Institute for Integrated Circuits IIS, Dresden, Germany Marcel Jotschke, Division Engineering of Ad... » read more

Condition Monitoring Of Drive Trains By Data Fusion Of Acoustic Emission And Vibration Sensors


Early damage detection and classification by condition monitoring systems is crucial to enable predictive maintenance of manufacturing systems and industrial facilities. The data analysis can be improved by applying machine learning algorithms and fusion of data from heterogenous sensors. This paper presents an approach for a step-wise integration of classifications gained from vibration and ac... » read more

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