With the increasing demand for clean energy, in-situ hydrogen production from hydrocarbon reservoirs has attracted attention. In this work, a nanoscale nickel catalyst was prepared using water-in-oil (w/o) microemulsion method and applied in generation of hydrogen-rich syngas heavy oil reservoirs. The activation energy (Ea) gasification reactions significantly decreased with addition catalyst. catalytic effect monitored through remarkable increases peak temperature values both...

A novel high-order harmonic-frequency cross-correlation algorithm is proposed for the cavity length interrogation of white-light fiber-optic Fabry-Perot sensors. The uses minimum value a coefficient to determine sensor by fundamental cross correlation. This eliminates ambiguity in identifying main peak coefficient, especially when source bandwidth insufficient. was verified through simulation and experiment using FP with 79.175 μm. reflection spectrum obtained under illumination an amplified...

A white light non-scanning correlation interrogation system was proposed and built to interrogate absolute length of the air cavity fiber-optic compound Fabry⁻Perot pressure sensors for extraction value. By carefully choosing thickness range tilt angle optical wedge used matching, interferometric signal basal can be naturally filtered out. Based on peak positioning by Fourier transform, bandpass filtering in frequency domain, inverse transform back time envelope fitting zero fringe finding...

The estimated accuracy of phase and frequency all FFT spectrum analysis its correction techniques are high[1-3], for perfect characteristic inhibiting the leakage. isn't influenced by shift, so there is no need to correct it. In this paper, a analyzer with self-adaptive sampling designed on basis techniques, using TI's 32-bit floating-point DSP. It shown that measurement error design high frequency-resolution 0.01%. suited high-precision, intensive non-synchronous harmonic analysis.

Autism spectrum disorder (ASD) is a complex neurodevelopmental that can reduce quality of life and burden families. However, there lack objectivity in clinical diagnosis, so it very important to develop method for early accurate diagnosis. Multi-site data increases sample size statistical power, which convenient training deep learning models. heterogeneity between sites will affect ASD recognition. To solve this problem, we propose multi-site anti-interference neural network classification....

Automatic detection and recognition of ship in satellite images is very important has a wide array applications. This paper concentrates on optical sensor, which provides an approach for monitoring. Graph-based fore/background segmentation scheme used to extract candidant from image chip after the step, course fine. Shadows are extracted CFAR scheme. Because all parameters graph-based algorithms adaptively determined by algorithms, no parameter tuning problem exists our method. Experiments...

Coastline detection in synthetic aperture radar (SAR) images is difficult and important. As we all know, water areas SAR are much more homogeneous grey levels than land regions. Therefore, features reflecting the texture of an image can be very useful for water-land separation. Traditional methods mainly view gray-scale as a critical rule to detect coastline from background. In this paper, pay attention characteristics different between non-water objects. A novel method based on...

In this paper, a novel algorithm is presented for runway detection in synthetic aperture radar images. It involves two steps: assessment and confirmation. the first step, primary (PR) auxiliary (AR) of airport are assessed by using sparse representation fusion frame. A set residuals, each feature from PR or AR, generated performing reconstructions over training dictionaries constructed discriminative features. Based on all residuals types features, residual sequences AR are, respectively,...

The classification of warheads and decoys is a very important issue in the defense ballistic missiles. To train test classifier, echoes from all kinds situations have to be acquired. However, this difficult implement by experiments fields or even anechoic chambers. In letter, novel method presented simulate targets when radar transmits chirps other waveforms. A tool for electromagnetic calculation, like CST Microwave Studio, first used frequency response scattering. echo then acquired...

In shipboard integrated power system, DC zonal distribution system has advantages in density improvement, simplification and modularization, can effectively improve the continuity reliability of supply. This paper introduces application discusses compared to conventional one. The key technologies needed be solved are summarized, analyses practical significance prospects given. Finally, it points out that issues stability, converters circuit breakers still need a further study.

Ganoderma tsugae is well known as a medicinal mushroom in China and many Asian countries, while its fermentation technique corresponding pharmacological activity are rarely reported. In this study, wild G. strain (G42) with high triterpenoid content was screened from nine strains by rice solid-state fermentation, 53.86 mg/g triterpenoids could be produced under optimized conditions; that is, inoculation amount 20%, temperature 27 °C, culture time 45 days. The hepatoprotective of G42 ethanol...

In this paper, we present a novel SAR (synthetic aperture radar) imaging algorithm based on compressed sensing (CS). We first obtain complex images from raw echoes, and then search all targets in complex-image domain by an improved MP (matching pursuit) algorithm. Unlike other CS-based models, our has several advantages: 1) is two-dimensional (2-D) system, rather than one-dimensional (1-D) models introduced most existing algorithms; 2) unlike low efficiencies of reconstruction algorithms,...

The classification of warheads and decoys is a core technology in the defense ballistic missile. Usually, high range resolution favorable for development algorithm, which requires sampling rate fast time, thus leads to heavy computation burden data processing. In this paper, novel method based on compressed sensing (CS) presented improve target with low computational complexity. First, tool electromagnetic calculation, such as CST Microwave Studio, used simulate frequency response scattering...

A new algorithm is presented to indicate the ground targets moving in azimuth synthetic aperture radar (SAR) images. This based on local two-Look similarity. In two looks of scene, a stationary target has same positions, but different positions. Therefore, can be indicated by patch-by-patch similarity detection between looks. We use normalized correlation characterize detection, for each patch first look, only correlations with three patches second look are calculated, and thus this...

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A vehicle detection algorithm is presented for synthetic aperture radar (SAR) images. This method formulates the mission within a sparse representation (SR) fusion frame. set of residuals, one specific feature, first generated by performing reconstructions over dictionaries associated with available possible targets. They are then normalized and further formed into single residual sequence. After collection all sequences types features, linear strategy applied to infer an optimal target...

Single-clamp sub-module (SCSM) combining the cost and technological advantages has become one of next modular multilevel converter (MMC) topologies in response to DC fault aspect. It describes topological structure working conditions based on SCMMC (Single-Clamp MMC) proposes three-stage start-up processes SCMMC. The paper made a detailed study black-start scheme blackout terminal when SCMMC-HVDC is used grid black start. active-side orderly rotation trigger control strategy passive-side...