Pavements covered with snow and ice in winter will reduce antiskid performance, which may cause harm to road operation safety. In this study, an asphalt mixture containing a low-freezing-point additive (LFPA) was developed for pavement applications, its antifreezing properties were evaluated experimentally. Eight kinds of porous materials including volcanic rock, fly ash, zeolite, diatomite, modified diatomite selected as carriers. The optimum salted carrier surface modifier the preparation...

The primary grain size, sintering conditions, and admixtures have a significant impact on the growth of alumina ceramics. Three kinds powders with varying sizes zirconia nanoparticles were selected configured into five compositions zirconia-toughened (ZTA) As-received granules used to sinter bulk ceramics at temperatures 1520 °C, 1600 1680 °C for durations 0.5–2 h, respectively. average in ZTA studied as function temperature, time, particle size raw materials. results demonstrated that...

SUMMARY As a data-driven approach, the performance of deep learning models depends largely on quantity and quality training data sets, which greatly limits application to tasks with small sets. Unfortunately, sometimes we need use limited sets complete our tasks, such as distributed acoustic sensing (DAS) denoising. However, using set train network may cause overfitting, resulting in poor generalization. To solve this problem, propose an approach based combination generative adversarial...

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We have evaluated the ensemble empirical mode decomposition (EEMD) and stacking model for borehole seismic-data denoising. The records collected by distributed acoustic sensing (DAS) technology multitype noise contamination, it is difficult to attenuate these noises while recovering seismic waves well. first perform EEMD on data obtain signal-to-noise modal components, then extract time frequency information of decomposed modes using six feature factors, finally introduce an learning method...

In recent years, distributed acoustic sensing (DAS) technology has attracted much attention and been applied to vertical seismic profiles (VSP). It promoted the development of land exploration towards deep fine tectonic analysis. However, acquired DAS VSP data are often disturbed by various types noise generated environment instruments. They exhibit quite different characteristics from traditional noise, hindering further application in field VSP. Frequency information plays an important...

A new type of path-following method has been developed to steer marine surface vehicles along desired paths. Path-following is achieved by a hyperbolic guidance law for straight-line paths and backstepping control curved An optimal controller improved heading control, based on linear quadratic regulator (LQR) theory with nonlinear feedback techniques. The algorithm performance validated simulation comparison against the requirements International Standard IEC62065. Deviations are within...

In order to reduce the safety risk caused by icing on asphalt pavement, we propose a new method prepare superhydrophobic coating (SHC) mixture surfaces for anti-icing purposes. The nano-SiO2 particles modified coupling agent (KH550), and oxysilane were sprayed SHC. Fourier transform infra-red spectra prove that Si-O-Si C–H are main components of materials, has good cross-linking effect. SEM images reveal SHCs have micro nano-binary composite structure, show excellent super-hydrophobicity....

When a dc short-circuit fault occurs, the current rises rapidly, which has strong impact on power electronic switches. It brings stability problems to system as well. Recently, with development of superconducting technology, limiter(SFCL) become an ideal device limit current, provides new idea for reducing HVDC, and prolongs use time switching equipment in [1]-[3]. This paper summarizes types applications SFCL, takes Resistor Superconducting Fault Current Limiter(RSFCL) example analyze its...

Chromosome segmentation is a crucial analyzing task in karyotyping, technique used experiments to discover chromosomal abnormalities. Chromosomes often touch and occlude with each other images, forming various chromosome clusters. The majority of methods only work on single type cluster. Therefore, the pre-task segmentation, identification cluster types, requires more focus. Unfortunately, previous method for this limited by small-scale dataset, ChrCluster, needs help large-scale natural...

Abstract The protease‐catalyzed, kinetically controlled synthesis of a precursor dipeptide thymopentin(TP‐5), Z‐Arg‐Lys‐NH2 in organic solvents was studied. Z‐Arg‐OMe used as the acyl donor and Lys‐NH2 nucleophile. An industrial alkaline protease alcalase trypsin were to catalyze target water‐organic cosolvent systems. conditions reaction optimized by examining effects several factors, including solvents, water content, temperature, pH, time on yield Z‐Arg‐Lys‐NH2. optimum using catalyst are...

Most remote-sensing systems obtain terrain surface images from vertical observation by satellites and high-altitude aircrafts. However, this can be inadequate for subsurface geological image acquisition. Indeed, or undersurface information is more essential civil engineering. In work, we proposed a feature recognition approach: first, cross-section are captured horizontally low-altitude UAV. Later, deep transfer learning model trained to classify the type of mass exposed on cross-section. We...

Crop type identification refers to distinguishing certain crop from other landcovers, which is an essential and crucial task in agricultural monitoring. Satellite images good data input for identifying different crops since satellites capture relatively wider area more spectral information. Based on prior knowledge of crop's phenology, multi-temporal are stacked extract growth pattern varied crops. In this paper, we proposed a machine learning model combines generative discriminative models...

Abstract Calcium hexaaluminate (CA 6 ) based castables with low thermal conductivity and sufficient strength were conveniently prepared by foaming incorporating alumina bubbles. The pores are derived from stabilizing the liquid foams surfactant (air‐entraining agent) hollow structure of physical properties CA depended on approaches producing as well their quantity, morphology, distribution. .384–.491 W/(m∙K) tested at 800°C cold crushing 49.4–99.5 MPa after firing 1 300°C, exhibited...

Distributed acoustic sensing (DAS) technology has been applied in vertical seismic profiling to provide high-precision records for oil and gas exploration recent years. However, these are often contaminated by various noises due the limitations of acquisition instrument borehole environment, resulting an unclear reflection geologic structure. The object this paper is remove severe noise contamination through signal decomposition, time-frequency description feature classification. Firstly, we...

This paper proposes a face recognition algorithm based on the combination of local binary pattern (LBP) texture features and extreme learning machine (ELM). The image is divided into several regions, LBP are extracted from these regions combined together to form feature vector which will be input data ELM. It shows that ELM performs well in classification applications, support (SVM) equivalent optimization point view. But has milder constraints much less training time. Our experiments...

Desert seismic data have the characteristics of low signal-to-noise ratio (SNR) and low-frequency, which pose a major challenge to noise attenuation. In this letter, we propose denoising method for desert that combines Gaussian conditional random field (GCRF) sparsity measurement. The measurement is designed replace sampling in posterior frame. To calculate block sparsity, first blocks are divided into three groups: high blocks, medium blocks. Then different parameters determined according...

In this study, the effect of speckle noise reduction was evaluated with high resolution satellite TerraSAR intensity data. Multi-temporal polarization imagery (HH & VV) acquired on different growth stages rice plant. Three kinds filters, i.e. Lee, Frost, Gamma Map, were applied for filtering window sizes. Six indices, Standard deviation, Equivalent number looks, Speckle suppression index, Edge preservation Image sharpness, and detail used in order to compare assess filters. Based evaluation...

In multi-party collaborative learning, the parameter server sends a global model to each data holder for local training and then aggregates committed models globally achieve privacy protection. However, both dragger issue of synchronous learning staleness asynchronous make inefficient in real-world heterogeneous environments. We propose novel efficient framework named AdaptCL, which generates an adaptive sub-model dynamically from base holder, without any prior information about worker...

A novel structure of Micro-Optic-Electro-Mechanical-System (MOEMS) gyroscope was designed. Optical waveguide diffractive component, electro-optical modulator and Surface Acoustic Wave (SAW) sensor etc. were integrated on a XY LiNbO3 substrate. The obtained sensitivity 12 uVdeg^-1s^-1 in the angular rate range 0-400deg/s.