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Based on measurement of AC impedance, this paper presents a new method for evaluating measurement uncertainty of AC impedance. The method of equal potential measurement is introduced, which can calibrate AC impedance and trace to voltage ratio standard and phase standard by adjusting the current in the circuit. What's more, the measurement data of 1 kHz, 100 Ω is given in the paper, whose measurement...
Plane wave excitation and propagation in layered piezoelectric phononic crystals with and without given electric potentials at the metallic interfaces is studied in the present work. Two kinds of piezoelectric layered phononic crystals are considered: an infinite periodic structure and a periodic structure surrounded by two half-spaces. The influences of electrodes on wave transmission, band-gaps...
The success of deep learning proves that deep models are able to achieve much better performance than shallow models in representation learning. However, deep neural networks with auto-encoder stacked structure suffer from low learning efficiency since common used training algorithms are variations of iterative algorithms based on the time-consuming gradient descent, especially when the network structure...
With the size and service applications of electric power dispatching data network expanded gradually, types of router device accessed are also increasing. Technical requirements of devices networking characteristics, performance, and compatibility play important roles at the safe and stable operation of the dispatching data network. Performance, compatibility, and networking test models are proposed...
As a close proxy of the GOES-R Advanced Baseline Imager (ABI) instrument, the on-board 16-band Advanced Himawari Imager (AHI) brings an unprecedented opportunity to exercise the ABI algorithms developed for GOES-R in the STAR Algorithm Processing Framework (SAPF). STAR has been collaborating with JMA and NASA since AHI's post launch checkout and has been acquiring the full resolution AHI data form...
Deep learning scheme has received significant attention during these years, particularly as a way of building hierarchical representations from unlabeled data for a variety of signal and information processing tasks. However, deep neural networks suffer from slow learning speed since most used training algorithms are based on variations of the gradient descent algorithms which require iterative optimization...
Polyimide film has been used as an insulation material in the high temperature superconducting motor. As the High Temperature Superconducting (HTS) motor runs under low temperature, the research on surface charge accumulation and decay behaviors for the insulation material under low temperature is necessary. The surface charge has a great influence on the breakdown property. Fluorination is an effective...
Light emission from Si, would allow integration of electronic and optical functionality in the main electronics platform technology, but this has been impossible due to the indirect band gap of Si. In this talk I will discuss 2 different approaches, using unique properties of nanowires, to realize light emission from Si-based compounds.
Affinity Propagation (AP) algorithm is a useful clustering technique with a lot of noteworthy advantages. It has been successfully applied in many applications. However, this algorithm does not scale for large scale data sets because it requires quadratic computational time and memory usage in the problem size. In this paper, we concentrate on the needs of big data analytics and propose an effective...
Dielectric laser acceleration of electrons is the optical counterpart of phase-synchronous RF-acceleration of electrons in classical accelerators, demonstrated by us and at Stanford/SLAC recently. We discuss concept, experiments and detail highlights of this high-gradient scheme.
In this paper, a novel dual-band balun with flexible frequency ratios will be presented. The proposed 3-port balun is based on a 4-port structure with the 4th port terminated as an open end. Baluns transform unbalanced input signals to balanced output signals or vice versa. They have become very useful and needed in various applications such as balanced mixers, frequency multipliers, push-pull amplifiers,...
We present a method for characterizing injection volume of the robotic cell injection system through measuring fluorescence intensity of the injected cell. The relationship of the concentration of the fluorescence dye and the fluorescence intensity was found to be linear, which was confirmed by measuring the cell-morphology-like droplets. The droplet was generated by dispensing in a mineral oil filled...
A low power levitating motor based on a male and female permanent magnetic levitation support is presented. The motor utilizes only 30.48±0.785 mW of power, spins at a top speed of 618 rpms, and has a top efficiency of 0.4. The motor has a maximum output torque of 0.73 N · mm. The motor is speed limited by fabrication imperfections. However, vibrations that arose during usage are shown to be insufficient...
The Nd-Fe-B magnets have attracted continuous interests in both technological and scientific fields because of their superior magnetic properties. However, the applications of the magnets have been hindered, especially, in price-sensitive areas by their relatively high cost. For the Nd-Fe-B magnets, neodymium nearly accounted for 90 % of the cost of raw materials. The price of Ce is only one tenth...
An accurate non-contact amplitude retrieval of the periodic movement is proposed in this paper. Firstly, the backscattered signal of a vibrational target can be expanded as a series of harmonics whose amplitudes are determined by the vibration amplitude. Then, based on the least squares estimation, all the available harmonics are utilized to suppress the influence of the signal noise on the vibration...
Deconvolution is known as an ill-posed problem. In order to solve such a problem, a regularization method is needed to constrain the solution space and find a plausible and stable solution. In practice, it is very computation intensive when using cross-validation method to select the regularization parameter. In this paper, we present an adaptive regularization method to find the optimal regularization...
Few of the current injection technologies can be applied to those human cells whose diameters are ranged about 10–25 (im only. This paper reports our most recent effort in developing a robot-aided microinjection system to solve the challenging problem of automated injection on human cells. A unique microfluidic cell holding chip is designed and fabricated to trap the single cells in the predefined...
Artificially induced cell fusion is becoming a powerful tool in developmental biology. In this paper, we verify the feasibility of an engineering laser-induced solution to achieve precise cell fusion at the single-cell level. Two cells formed a cell pair with the manipulation of optical tweezers and fused after irradiation by pulsed ultraviolet laser. Time-lapse imaging of the cells during fusion...
This paper presents main outcomes of activities, performed in the frame of the EFDA task WP12-DAS-02-T02 and whose main objective was to investigate the feasibility and the range of applicability of a water-cooled divertor (WCD) based on technology developed for ITER to DEMO1. That includes the analysis of the power handling limits, the impact of the end-of-life irradiation fluence, as well as the...
Engineering induced cell fusion is becoming a promising tool in novel therapeutic studies for treating various diseases. The majority of current in vitro cell fusion methods are based on random cell pairing with loose contact, which also needs large amounts of cells. In this paper, we present a robotically controlled laser-induced cell fusion approach based on the microwell array, which exhibits advantages...
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