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Hybrid Metallo-Dielectric Waveguide Architectures and Technologies for THz Circuits and Systems
No full textEnhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series
No full textImpact of through‐slice gradient optimization for dynamic slice‐wise shimming in the cervico‐thoracic spinal cord
No full textSimilarity Solutions of Partial Differential–Integral Equations from the Theory of Stochastic Processes
No full textA Self-Powered Microwave Sensor Using Perfect Metamaterial Absorbers for Liquid Characterization
No full textTwo Special MTT-S Inter-Society Technology Panels at IMS2024: Collaboration Across Division IV Societies and Climate Change Challenges MTT-S Society News
No full text11.2V Supply, 0.21% biphasic stimuli charge balanced neurostimulator with switching spike suppression: an application to intraspinal microstimulation for restoring motor function.
Get PDFABSTRACT: In this paper, a new high-voltage and high-current compliance integrated electrical neurostimulator with charge balancing stimuli is presented. The proposed stimulator uses a stacked structure to provide the 11.2 V power supply delivering a biphasic stimulation current of 3.2 mA. It includes a novel charge balancing method to secure safe symmetric and asymmetric biphasic pulse trains with a low charge mismatch of 0.21%. Also, the proposed device properly cancels the switching current spikes generating biphasic stimuli. In addition, two methods based on a gate driver circuit and zero current switching are proposed securing advanced stimulator feature which are validated through extensive testing phase, including a simulation of 29 million periodic stimulation cycles delivering a current of 3.2 mA. The stimulator demonstrates robust performance with an average residual DC current of 11.4 nA after the charge balancing phase. The stimulator is implemented using the standard TSMC 180 nm 1.8 V/3.3 V LV CMOS technology. It operates at a low power budget of 90 μ W. The main core of the circuit occupies an area of 0.181mm2. The fabricated chip has been packaged and successfully tested in a motor function of intraspinal paralysis application
Effect of Thermal Aging on Polyurethane Degradation and the Influence of Unsaturations in the Hard Segment
No full textMid-infrared group IV nanowire laser
Get PDFABSTRACT: Semiconductor nanowires have shown great potential for enabling ultracompact lasers for integrated photonics platforms. Despite the impressive progress in developing nanowire lasers, their integration into Si photonics platforms remains challenging largely because of the use of III-V and II-VI semiconductors as gain media. Recently, group IV nanowires, particularly direct bandgap GeSn nanowires capable of emitting above 2 μm, have emerged as promising cost-effective gain media for Si-compatible nanowire lasers, but there has been no successful demonstration of lasing from this seemingly promising nanowire platform. Herein, we report the experimental observation of lasing above 2 μm from a single bottom-up grown GeSn nanowire. By harnessing strain engineering and optimized cavity designs simultaneously, the single GeSn nanowire achieves an amplified material gain that can sufficiently overcome minimized optical losses, resulting in single-mode lasing with an ultralow threshold of ~5.3 kilowatts per square centimeter. Our finding paves the way for all–group IV mid-infrared photonic-integrated circuits with Si-compatible lasers for on-chip classical and quantum applications
Raw_radar_fmcw_Dataset
No full textABSTRACT: This dataset contains raw FMCW radar signals collected for human localization and activity monitoring in indoor environments. The data was recorded using mmWave radar sensors across two different laboratory settings, designed to simulate real-life scenarios for human detection and localization tasks. The dataset includes experiments with 1, 2, and 3 people, covering various positions, walking trajectories, and intermediate locations to evaluate model generalization. Ground truth information is embedded in the folder names, indicating the true distance and angle of the targets. Each data folder contains 18 files: 9 files per antenna capturing complex-valued signals (.cf32 format) for multi-antenna processing. The signals are recorded without any preprocessing or feature extraction, enabling researchers to explore raw data learning, end-to-end modeling, or classical signal processing pipelines. This dataset is especially suitable for research in radar-based human localization, privacy-preserving monitoring, signal enhancement, and machine learning on raw radar data