This paper presents a design of 60 GHz active phase shifter for next generation mm-Wave WPAN using 90 nm TSMC CMOS technology. The vector modulator based phase shifter is chosen as a prototype because it provides accu...
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This paper presents a design of 60 GHz active phase shifter for next generation mm-Wave WPAN using 90 nm TSMC CMOS technology. The vector modulator based phase shifter is chosen as a prototype because it provides accurate resolution over 360 degree. The phase shifter is controlled by 5 bit digitally controlled by binary current weighted DAC. The miniaturized Marchand balun and 2 stage poly phase filter are used to generate differential I/Q signal from single signal. The three CS amplifiers are implemented for providing gain to the proposed circuit. The measured phase resolution of the circuit is 11.250 with maximum 30 phase error. The peak gain from the S-parameter measurement is 9 dB while drawing 50 mA from a 1.2 V supply.
Trajectory optimization of a controlled dynamical system is an essential part of autonomy, however many trajectory optimization techniques are limited by the fidelity of the underlying parametric model. In the field o...
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Trajectory optimization of a controlled dynamical system is an essential part of autonomy, however many trajectory optimization techniques are limited by the fidelity of the underlying parametric model. In the field of robotics, a lack of model knowledge can be overcome with machine learning techniques by utilizing measurements to build a dynamical model from the data. This paper aims to take the middle ground between these two approaches by introducing a semi-parametric representation of the underlying system dynamics. Our goal is to leverage the considerable information contained in a traditional physics based model and combine it with a data-driven, non-parametric regression technique known as a Gaussian Process. Integrating this semi-parametric model with PseudoSpectral Optimal Control (PSOC), we demonstrate model learning in an episodic and receding horizon fashion. In order to manage parametric uncertainty, we introduce an algorithm that utilizes Sparse Spectrum Gaussian Processes (SSGP) for incremental learning after each rollout. The goal of this paper is to motivate and demonstrate the constrained optimization techniques with semi-parametric models for online learning.
The development of the IEEE 802.16 mobile broadband wireless access or WiMAX standards promises to usher the next generation of mobile wireless networks. There is considerable ongoing interest in evaluating the perfor...
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ISBN:
(纸本)9781424429127
The development of the IEEE 802.16 mobile broadband wireless access or WiMAX standards promises to usher the next generation of mobile wireless networks. There is considerable ongoing interest in evaluating the performance of such networks with simulations forming the primary tool for conducting such studies. This paper presents the design and implementation of the Medium Access Control (MAC) and Physical layers of WiMAX based on IEEE802.16e standard on the ns-2 network simulator. Appropriate abstractions and methodologies are carefully chosen to ensure the maximal conformance of simulation to reality while keeping the computational complexity acceptable. Results that validate the accuracy of the simulator as well as those that describe its performance are presented.
Preprocessing (data reduction or kernelization) as a strategy of coping with hard problems is universally used in almost every implementation. The history of preprocessing, like applying reduction rules simplifying tr...
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Miniaturized fuel cells are very attractive for portable power generation. CEA has developed a hydrogen micro fuel cell, operating at ambient conditions, in which external flows are free. Therefore, the problem of wat...
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In the spring of 2010, a series of TerraSAR-X and RADARSAT-2 fully polarimetric and interferometric synthetic aperture radar (SAR) data sets were acquired over a mixed urban and parkland portion of the city of Ottawa....
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ISBN:
(纸本)9783800734047
In the spring of 2010, a series of TerraSAR-X and RADARSAT-2 fully polarimetric and interferometric synthetic aperture radar (SAR) data sets were acquired over a mixed urban and parkland portion of the city of Ottawa. One set of polarimetric acquisitions were imaged within 7 minutes of each other from a similar geometry. Interferometric SAR (InSAR) pairs from each sensor are also well-matched temporally. This afforded a unique occasion for a polarimetric and interferometric analysis of different land cover classes at the two different sensor wavelengths. In this paper, five land cover classes were selected for detailed analysis and discussion. They include urban, forest, wetland, agriculture and grass.
This The most commonly used method of permanent tattoo removing is lasers. Since lasers varying with different wavelengths have monochromatic (single wavelength) characteristics, only one type of laser can not affect ...
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ISBN:
(纸本)9781538606339
This The most commonly used method of permanent tattoo removing is lasers. Since lasers varying with different wavelengths have monochromatic (single wavelength) characteristics, only one type of laser can not affect all the tattoo colors. In order to overcome this disadvantage, more than one type of laser is used in multi-color (with more than one color) tattoos. The colors that are most difficult to remove with laser are green and yellow. In addition, lasers can cause undesirable tissue damage, which can cause some scarring or color differentiation. In this study, it was emphasized how the laser could be an alternative to the laser about tattoo removing which has the side effects as mentioned above, by way of tooth whitening applications in the area of dentistry of cold atmospheric plasma (CAP). In this study on permanent tattoo removing, 6 different colored dyes were selected, the concentration giving the most characteristic spectrum according to the contained pigment was selected, the cold atmospheric plasma was applied with time dependent modified parameters and finally the CAP application with agarose gel was performed to imitate human skin. The most active color of the plazm showed color-fading effect on all colors with being green. In addition being the most effective on green color, CAP showed color-fading effect on all colors.
This paper presents a comparison between moment and non-moment based techniques in image reconstruction. The moment based technique used is Zernike Moments (ZMs) while Fast Fourier Transform (FFT) is the non-moment ba...
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This paper presents a comparison between moment and non-moment based techniques in image reconstruction. The moment based technique used is Zernike Moments (ZMs) while Fast Fourier Transform (FFT) is the non-moment based technique. Considering the inverse process of these two techniques will allow the reconstruction of the image. Two types of images are considered namely gray scales and binary and the original images are corrupted with three different noises that are Salt and Pepper, Gaussian and Random. The performance of each algorithm against original and corrupted images is measured by evaluating Peak Signal to Noise Ratio (PSNR) for each reconstructed gray scale image of pixel size 64×64 and binary image of pixel size 30×30. The PSNR for each type of images will be observed in terms of the effectiveness of both Inverse Fast Fourier Transform (IFFT) and Inverse Zernike Moment (IZM) as reconstruction algorithms. The results show that between the two techniques, ZM is less sensitive to noise compared to FFT even though FFT is able to reconstruct a reasonably quality image.
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