Hydraulic fracturing is a key technology for the development of deep coal-rock reservoirs. Gangue, common rock type within coal-bearing strata, significantly influences fracture morphology after fracturing. Understanding propagation in containing gangue and effectively controlling artificial fractures remain critical challenges operations. To address this, study investigates strata Benxi Formation Daning-Jixian area Ordos Basin, characterized by presence gangue. A three-dimensional discrete...

Building an innovative country is a clear strategy for my to promote economic, industrial, and social development. Mastering the status quo late-comer advantages of technological innovation in country’s provinces important prerequisite accurately positioning mission each province. This article innovatively uses concentration potential measure analyze provincial scientific level at inventory incremental level. Taking cross-sectional data 31 2019 as sample, construct "innovation...

Font recognition and contextual processing are developed as two components that enhance the accuracy of a text system presented in previous paper ((H. Shi T. Pavlidis, 1996). information is extracted from sources: one global page properties, other graph matching result recognized short words such a, it etc. Contextual done by first composing word candidates results then checking each candidate with dictionary through spelling checker. Positional binary trigrams affixes used to prune search...

Purpose The purpose of this paper is to evaluate the service quality university library more accurately and dynamically improve efficiency library. realizes quantified representation overcomes shortcoming traditional evaluation system, which does not consider reader’s identity cannot be evaluated separately. In addition, according function configuration each department library, a relation between parameter its organization structure built. According results chain relations, some suggestions...

A correction method for obtaining the phase modulation curves of liquid crystal spatial light modulator (LCSLM) systems under oblique incidence is proposed. Considering reflection and refraction interface, influence on LCSLM was simulated analyzed by solving extended Jones matrix. The polarization interference principle applied to construct a system, measured at different incident angles, data were subjected Fourier fitting. curve corrected straight line using inverse interpolation method,...

Joint estimation method for DOA and polarization parameters of single electromagnetic vector sensor is mostly concerned in radar signal processing now. This paper presents a new algorithm which uses the cyclostationary property signal. It gets from noise subspace with minimum norm method. can reduce estimate error vector. At same time, it immune to additional stationary any distribution interference signals different cyclic frequencies. Method has been tested by computer simulation test...

Prosthetic joint infection (PJI) is a prevalent and severe complication characterized by high diagnostic challenges. Currently, unified standard incorporating both computed tomography (CT) images numerical text data for PJI remains unestablished, owing to the substantial noise in CT disparity volume between data. This study introduces method, HGT, based on deep learning multimodal techniques. It effectively merges features from scan patients’ via Unidirectional Selective Attention (USA)...

Beam steering is an important part of achieving target searching, aiming, tracking, capturing and imaging. It has applications in the fields new system laser radar space communication. In this paper, basic principle optical phased array (OPA) beam detailed, development status research results OPA technology based on liquid crystal, waveguide MEMS are introduced, application briefly described. Finally, prospect prospected.

In this paper, STAP algorithm is further studied based on the theory of CS-based moving target detection in spaceborne SAR, and a method detecting CS combined proposed. This restores STAR clutter again for data reconstructed by reconstruction each distributed satellite. The suppression can detect position more efficiently. theoretical simulation results show that proposed exact target. Compared with traditional algorithm, has obvious superiority.

Knowledge-sharing spaces in university libraries have gradually become a new area for college students to learn, research, and experience. How apply them constructing shared knowledge corresponding different emotions plays an increasing role promoting library services development. Taking as the main users, this paper gives relationship between physical parameters of space basic emotion users by systematically analyzing interaction user sentiment situational parameters. Besides, typical are...

In the context of airspace fusion, in order to improve safety performance UAV and prevent occurrence air collision accidents, an ant colony algorithm model for sense avoid based on ADS-B monitoring technology is proposed. The mainly consists two parts: deterministic conflict detection makes full use information calculate geometric distance from horizontal vertical planes identify target, resolution which introduces comprehensive heuristic function sorting mechanism plan route again achieving...

The global maritime trade plays a key role in propagating alien aquatic invasive species, which incurs side effects terms of environment, human health and economy. existing biosecurity methods did not take into account the invaded risk as well diffusion species at same time, may lead to inadequate bioinvasion control. In addition, lack considering impact control on shipping also makes their cost-ineffective. To solve problems methods, we employ AIS data, ballast water data temperature &...

<title>Abstract</title> In this paper, we propose semiparametric efficient estimators of genetic related-ness between two traits in a model-free framework. Most existing methods require specifying certain parametric models involving the and variants. However, bias due to model misspecification may yield misleading statistical results. Moreover, bounds for relatedness are still lacking. develop with machine learning construct valid confidence intervals important measures relatedness:...

The task of medical image recognition is notably complicated by the presence varied and multiple pathological indications, presenting a unique challenge in multi-label classification with unseen labels. This complexity underlines need for computer-aided diagnosis methods employing zero-shot learning. Recent advancements pre-trained vision-language models (VLMs) have showcased notable abilities on images. However, these limitations leveraging extensive knowledge from broader datasets, often...

In the context of airspace integration, to ensure safety unmanned aerial vehicles (UAVs), a method for resolving UAV conflicts based on optimization bat algorithm and neural network is proposed. This combines advantages both techniques. The output controls UAV's current step-length release strategy, while encoding parameters as coordinates global optimization. Finally, optimized strategy outputted form trajectory. Through simulation experiments, it verified that this model can provide...

Past research in shape analysis and OCR has often emphasized graph matching techniques. We propose to use of embeddings because this is what actually interest. In way we obtain faster simpler algorithms since most decisions can be made on the basis labels (the geometry embedding) rather than topology graph. The latter examined only very few cases. proposed algorithm consists four sieves that compare branches two by (normalized), angle, y-position, x-position, length. Pairs graphs pass all...

Abstract Haze ( H ) is not an accumulative property based on the addition of internal haze i and surface s parameters, though relation = − widely accepted used nowadays in research development plastic films. To evaluate correct relation, analytical between total a single film h superposition model was firstly concluded, which 1 equal to product every film. This validated by experimental results using thin films different kinds polymers with hazes. Based this expression concluded. When two...

Abstract The existing automatic classification methods of aviation safety reports are mainly traditional machine learning algorithms, which have the disadvantages relying on manual feature extraction and selection, unable to consider domain information dealing with complex dependencies, limits improvement accuracy. Therefore, this paper proposes an algorithm for that combines text knowledge graph. uses triples rich relationships as background in field into word2vec word vector training...

The thesis brings up a method to identify bacteria automatically. It analyzes the features of microscopy image, proposes from microscope image according these features. At last it based on recursion that can rapidly label connected domain.