The performance of microelectromechanical sensor systems relies critically on the transduction method employed to convert the mechanical displacement into an electrical signal. Optical readout techniques have distinct...
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The performance of microelectromechanical sensor systems relies critically on the transduction method employed to convert the mechanical displacement into an electrical signal. Optical readout techniques have distinct advantages over more traditional capacitive and piezoelectricity transduction methods. They are employed in applications where atomic resolution with a small sensing area is necessary, for example, scanning probe microscopes. In this paper, we present two architectures for optoelectronic sensing based on silicon on sapphire CMOS (SOS-CMOS) technology. We show how to heterogeneously integrate photodetectors, analog CMOS signal processing circuits, and VCSELs for an array based optical readout system. The optical transparency of the sapphire substrate allows for the design of both Michelson and Fabry-Perot type interferometers that are amenable to 2D array sensing. We present preliminary experimental data demonstrating standing wave detection in the 100 nm thin silicon PIN photodiodes available in the SOS-CMOS technology for the Fabry-Perot interferometer.
We report on the design and fabrication of surface micromachined microelectromechanical structures (MEMS) in an ultra thin silicon (UTSi) on sapphire CMOS process [Peregrine Semiconductor (PE) Silicon on Sapphire (SOS...
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We report on the design and fabrication of surface micromachined microelectromechanical structures (MEMS) in an ultra thin silicon (UTSi) on sapphire CMOS process [Peregrine Semiconductor (PE) Silicon on Sapphire (SOS) process]. This is the first demonstration of surface micromachined MEMS structures in a CMOS process fabricated on a sapphire substrate.
We provide methods of computing multivalued solutions to the Euler-Poisson system and test them in the context of a klystron amplifier. An Eulerian formulation capable of computing multivalued solutions is derived fro...
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We provide methods of computing multivalued solutions to the Euler-Poisson system and test them in the context of a klystron amplifier. An Eulerian formulation capable of computing multivalued solutions is derived from a kinetic description of the Euler-Poisson system and a moment closure. The system of the moment equations may be closed due to the special structure of the solution in phase space. The Eulerian moment equations are computed for a velocity modulated electron beam, which has been shown by prior Lagrangian theories to break in a finite time and form multivalued solutions. The results of the Eulerian moment equations are compared to direct computation of the kinetic equations and a Lagrangian method also developed in the paper. We use the Lagrangian formulation for the explicit computation of wave breaking time and location for typical velocity modulation boundary conditions.
Several techniques exist for using ground-based measurements of IR radiance to characterize the atmosphere, especially the boundary layer. These methodologies, in contrast to space based observations or active probing...
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Several techniques exist for using ground-based measurements of IR radiance to characterize the atmosphere, especially the boundary layer. These methodologies, in contrast to space based observations or active probing techniques, offer a safe, continuous measure of atmospheric parameters at a single location that are highly accurate at altitudes very near the ground (<500 m) and can be obtained without the need for human monitoring. Herein we demonstrate the use of data from a BOMEM MR 140 spectroradiometer for estimation of temperature and water vapor profiles. Temperature profiles are calculated using a simple process based on temperature invariant spectral points of downwelling mid-wave IR (MWIR) radiance; the basic algorithm was reported in 2000. Results reported here include an update to the fit algorithm as well as qualitative comparisons to field test data obtained in 1999 where an active Raman LIDAR and a balloonsonde measured the vertical temperature profile and vertical water vapor profile during an MR data collection. Once the vertical temperature profile is known, the vertical water vapor profile can be calculated using the same radiometric data. Water vapor profiles are calculated in much the same way as temperature profiles, using a simple inversion process, except different altitude points are based on temperature dependent absorption lines instead of temperature invariant points
Spike sorting of neural data from single electrode recordings is a hard problem in machine learning that relies on significant input by human experts. We approach the task of learning to detect and classify spike wave...
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Spike sorting of neural data from single electrode recordings is a hard problem in machine learning that relies on significant input by human experts. We approach the task of learning to detect and classify spike waveforms in additive noise using two stages of large margin kernel classification and probability regression. Controlled numerical experiments using spike and noise data extracted from neural recordings indicate significant improvements in detection and classification accuracy over linear amplitude- and template-based spike sorting techniques.
作者:
Y. XIE. F. SCHUBERTFuture Chips Constellation
Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute Troy New York 12180 USA Future Chips Constellation
Department of Physics Applied Physics and Astronomy Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy New York 12180 USA Future Chips Constellation
Rensselaer Polytechnic Institute Troy New York 12180 USA.
A theoretical model for the dependence of the diode forward voltage (V f ) on junction temperature (T) is developed. A new expression for d V f / d T is derived that takes into account all relevant contributions to th...
A theoretical model for the dependence of the diode forward voltage (V f ) on junction temperature (T) is developed. A new expression for d V f / d T is derived that takes into account all relevant contributions to the temperature dependence of the forward voltage including the intrinsic carrier concentration, the bandgap energy, and the effective density of states. Experimental results on the junction temperature of GaN UV LEDs are presented. Excellent agreement between the theoretical and experimental temperature coefficient of the forward voltage ( d V f / d T) is found. The experimentally found linear dependence of the junction temperature on forward current is explained by a thermal conduction model. A thermal resistivity of 342.2 K/W is found for the UV LED.
We investigate the possibility of self-similar pulse evolution in solid state lasers. Numerical simulations with realistic parameters for a Ti:sapphire laser indicate that pulse energies of up to 1 nJ should be possible.
We investigate the possibility of self-similar pulse evolution in solid state lasers. Numerical simulations with realistic parameters for a Ti:sapphire laser indicate that pulse energies of up to 1 nJ should be possible.
This paper provides an introduction to sensor fusion techniques for target tracking. It presents an overview of common filtering techniques that are effective for moving targets as well as methods of overcoming proble...
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This paper provides an introduction to sensor fusion techniques for target tracking. It presents an overview of common filtering techniques that are effective for moving targets as well as methods of overcoming problems specific to target tracking, such as measurement-to-track association and sensor registration. The computational demand of such algorithms is discussed and various practices, including distributed processing of target tracks and sensor management, are proposed to help reduce this demand. Final comments include a discussion of applications and implementation issues specific to the presented scenarios.
A general relation between the phase time (group delay) and the dwell time is derived for relativistic tunneling particles described by the Dirac equation. It is shown that the phase time equals the dwell time plus a ...
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A general relation between the phase time (group delay) and the dwell time is derived for relativistic tunneling particles described by the Dirac equation. It is shown that the phase time equals the dwell time plus a self-interference delay which is a relativistic generalization of previous results.
Considering the rapid growth of population, its impact on the environment, and limited available resources on our planet, the need for monitoring the environmental processes and managing our resources is unequivocal. ...
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Considering the rapid growth of population, its impact on the environment, and limited available resources on our planet, the need for monitoring the environmental processes and managing our resources is unequivocal. Microwave remote sensing provides a unique capability towards achieving this goal. Over the past decade, significant progress has been made in microwave remote sensing of land processes through development of advanced airborne and space-borne microwave sensors, and the tools — such as physics-based models and advanced inversion algorithms — needed for analyzing the data. These activities have sharply increased in recent years since the launch of the ERS-1/2, JERS-1, and RADARS AT satellites, and with the availability of radiometric data from SSM/I. A new era has begun with the recent space missions ESA-ENVISAT, NASA-AQUA, and NASDA-ADEOSII, and the upcoming PALSAR and RADARSAT2 missions, which open new horizons for a wide range of operational microwave remote-sensing applications. This paper highlights major activities and important results achieved in this area over the past years.
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