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New Design Concepts for PCB-Integration Technology in Power Electronics reducing Circuit Parasitics to a Minimum
With the introduction of fast switching wide-bandgap (WBG) power semiconductors, the focus in the development of power modules has increasingly been shifted to reducing parasitic elements. To fully use the advantages of WBG power semiconduc...
Design Considerations for 48-V VRM: Architecture, Magnetics, and Performance Tradeoffs
The energy demand of future computing gives rise to new challenges in high current voltage regulator modules (VRMs). This paper reviews the recent development in architecture and magnetics for 48-V VRMs, with a focus on achieving high effic...
Laser-induced graphene supercapacitors on flex substrates for package-integrated power supply
Integrated power sources have a critical role in the operation of miniaturized, lightweight, wearable medical and IoT devices. Such power sources should be ideally grown directly on the package substrates for low-impedance power delivery an...
NMOS/NLDMOS LSS dead-time minority carrier isolation optimization
NMOS/NLDMOS LSS dead-time minority carrier isolation is critical for Synchronous Step-down converter products both for reliability and die size cost. We evaluate MAAP isolation ring design effectiveness using TCAD simulation with 1, 10 and ...
Multichannel Nonnegative Matrix Factorization With Motor Data-Regularized Activations For Robust Ego-Noise Suppression
The suppression of ego-noise is often addressed using dictionary-based methods where the characteristic spectral structure of ego-noise is approximated by a linear combination of dictionary entries. A blind, entirely audio data-based select...
Estimation Of Fields Using Binary Measurements From A Mobile Agent
In this paper we consider the problem of field estimation using a mobile autonomous agent. The agent is equipped with a sensor which can make noisy binary measurements of the field. We model the field as a sum of radial basis functions, who...
Information-Bottleneck-Based Behavior Representation Learning for Multi-Agent Reinforcement Learning
In multi-agent deep reinforcement learning, extracting sufficient and compact information of other agents is critical to attain efficient convergence and scalability of an algorithm. In canonical frameworks, distilling of such information i...
Toward Semi-Autonomous Stiffness Adaptation of Pneumatic Soft Robots: Modeling and Validation
The constant stiffness of the soft medical robots imposes a cap on their force transmission capacity. To address this limitation, the objective of this study was to investigate the effects of chamber pressure on the stiffness of pneumatic s...
Improving a User’s Haptic Perceptual Sensitivity by Optimizing Effective Manipulability of a Redundant User Interface
Human perceptual sensitivity of various types of forces, e.g., stiffness and friction, is important for surgeons during robotic surgeries such as needle insertion and palpation. However, force feedback from robot end-effector is usually a c...
An Open-Source Platform for Cooperative, Semi-Autonomous Robotic Surgery
Introduction: In this paper, we present and assess a proof of concept platform for semi-autonomous, cooperative robotic surgery. The platform is easily reproducible thanks to simple hardware components and open-source software. Moreover, th...