This work presents a new class of micromachined electrostatic actuators capable of producing output force and displacement unprecedented for MEMS electrostatic *** actuators feature submicron high aspect ratio transdu...
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This work presents a new class of micromachined electrostatic actuators capable of producing output force and displacement unprecedented for MEMS electrostatic *** actuators feature submicron high aspect ratio transduction gaps lined up in two-dimensional *** an arrangement of microscale actuator cells allows the addition of force and displacements of a large number of cells(up to 7600 in one demonstrated array),leading to displacements ranging in the hundreds of microns and several gram forces of axial *** 50μm thick actuators with horizontal dimensions in the 1-4 millimeter range,an out-of-plane displacement of up to 678μm at 46 V,a bending moment of up to 2.0μNm,i.e.,0.08 N(~8 gram-force)of axial force over a 50μm by 2 mm cross-sectional area of the actuator(800 kPa of electrostatically generated stress),and an energy density(mechanical work output per stroke per volume)up to 1.42 mJ/cm3 was demonstrated for the actuators.
The research investigates the impact of birefringence loss in quartz-based mid-infrared photonic waveguides over various wavelength ranges. The analysis of three specified wavelength ranges from 1 to 12 µm a...
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This work presents the design, analysis, and experimental validation of a novel chip-based 3-D printed ultra-high frequency (UHF) radio frequency identification (RFID) sensor designed for leaf moisture detection for s...
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This paper presents a dual-band implantable antenna with coaxial probe feeding for wireless biotelemetry applications. The antenna features spiral patches, resulting in a compact size of 27 × 14 × 1.6 mm3. I...
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In this paper, we train various Natural Language Processing (NLP) tasks using the Input Normalized Stochastic Gradient Descent (INSGD) optimizer. We fine-tune the Bidirectional Encoder Representations from Transformer...
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Advances in Internet of Things (IoT) wearable sensors and edge-artificial intelligence (Edge-AI) have enabled practical realizations of machine learning (ML)-enabled mobile sensing applications like human activity rec...
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The rapid advancements in deepfake technology are imposing significant challenges in detecting manipulated media contents. In this work, we have introduced a deepfake detection method that utilizes three pre-trained c...
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Recent advancements in wearable and Internet of Things (IoT) technologies have yet to be fully realized in combination with Mixed Reality (MR) for comprehensive real-time health monitoring systems. This paper introduc...
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Virtual reality (VR) systems are susceptible to cybersickness, significantly hindering user immersion. Very recently, researchers introduced explainable artificial intelligence (XAI) enabled methods for detecting and ...
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Research into Medicare fraud detection that utilizes machine learning methodologies is of great national interest due to the significant fiscal ramifications of this type of fraud. Our big data analysis pertains to th...
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