Cavity optomechanics with picometer displacement measurement resolution has shown vital applications in high-precision sensing areas. In this paper, an optomechanical micro hemispherical shell resonator gyroscope (MHSRG) is proposed, for the first time. The MHSRG is driven by the strong opto-mechanical coupling effect based on the established whispering gallery mode (WGM). And the angular rate is characterized by measuring the transmission amplitude changing of laser coupled in and out from the optomechanical MHSRG based on the dispersive resonance wavelength shift and/or dissipative losses varying. The detailed operating principle of high-precision angular rate detection is theoretically explored and the fully characteristic parameters are numerically investigated. Simulation results show that the optomechanical MHSRG can achieve scale factor of 414.8 mV/ (°/ s) and angular random walk of 0.0555 °/ h when the input laser power is 3 mW and resonator mass is just 98 ng. Such proposed optomechanical MHSRG can be widely used for chip-scale inertial navigation, attitude measurement, and stabilization.
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http://dx.doi.org/10.1364/OE.482859 | DOI Listing |
Front Neurosci
December 2024
Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Objective: High Angular Resolution Diffusion Imaging (HARDI) models have emerged as a valuable tool for investigating microstructure with a higher degree of detail than standard diffusion Magnetic Resonance Imaging (dMRI). In this study, we explored the potential of multiple advanced microstructural diffusion models for investigating preterm birth in order to identify non-invasive markers of altered white matter development.
Approach: Rather than focusing on a single MRI modality, we studied on a compound of HARDI techniques in 46 preterm babies studied on a 3T scanner at term-equivalent age and in 23 control neonates born at term.
Gait Posture
December 2024
Engineering Research Center of the Ministry of Education for Intelligent Rehabilitation Equipment and Detection Technologies, Hebei University of Technology, Tianjin 300401, PR China; Hebei Key Laboratory of Robot Sensing and Human-robot Interaction, Hebei University of Technology, Tianjin 300401, PR China; School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, PR China. Electronic address:
Background: Gait feature recognition is crucial to improve the efficiency and coordination of exoskeleton assistance. The recognition methods based on surface electromyographic (sEMG) signals are popular. However, the recognition accuracy of these methods is poor due to ignoring the correlation of the time series of sEMG signals.
View Article and Find Full Text PDFSci Rep
January 2025
School and Hospital of Stomatology, Fujian Medical University, Fuzhou, 350001, China.
This study assessed the accuracy of robotic computer-aided implant surgery (rCAIS) in partially edentulous patients using a standard operation procedure. Patients who underwent implant placement surgeries using the robotic system under a standard operation procedure were recruited. Deviations of dental implants were calculated after superimposition of the preoperative and postoperative cone-beam computed tomography (CBCT) images.
View Article and Find Full Text PDFJ Endod
December 2024
Division of Conservative Dentistry and Endodontics, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India.
Introduction: The dynamic navigation system (DNS) in endodontics presents a significant learning curve. This cross-sectional study aimed to assess the number of cases required to achieve consistent performance in DNS-assisted treatment of maxillary anterior teeth with pulp canal calcification.
Methods: A series of DNS procedures were performed on 45 calcified maxillary anterior teeth with pulp necrosis by a single endodontist who had no prior clinical DNS experience.
PLoS Comput Biol
December 2024
Department of Psychology, Philipps-Universität Marburg, Marburg, Hesse, Germany.
Accurate navigation often requires the maintenance of a robust internal estimate of heading relative to external surroundings. We present a model for angular velocity integration in a desert locust heading circuit, applying concepts from early theoretical work on heading circuits in mammals to a novel biological context in insects. In contrast to similar models proposed for the fruit fly, this circuit model uses a single 360° heading direction representation and is updated by neuromodulatory angular velocity inputs.
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