To address the substantial mining pressure from unstable rock formations, impact compression tests were performed on coal–rock combination specimens of varying strengths using a split Hopkinson bar (SHPB). The dynamic mechanical properties, energy dissipation patterns, and failure modes systematically analyzed, illuminating behavior conversion mechanisms under both static loading conditions. findings reveal positive correlation between proportion strength rocks within its compressive as well...

In recent years, the Internet of Things (IoT) technology has developed by leaps and bounds. However, large heterogeneous network structure IoT brings high management costs. particular, low cost devices exposes them to more serious security concerns. First, a convolutional neural intrusion detection system for is proposed. After cleaning preprocessing NSL-KDD dataset, this paper uses feature engineering methods select appropriate features. Then, based on combination DCNN machine learning,...

Flexible psammophytes play an important role in controlling soil wind erosion and desertification, owing to their characteristics. Although flexibility of has been considered previous studies, the interaction between flexible surrounding airflow field still remained unclear. In this study, we used Young’s modulus describe plant conducted a 3D computational fluid dynamics simulation using standard k-ε model fluid–structure model. Taking Caragana korshinskii (Caragana), typical psammophyte, as...

Knowledge graphs (KGs) are known for their large scale and knowledge inference ability, but also notorious the incompleteness associated with them. Due to long-tail distribution of relations in KGs, few-shot KG completion has been proposed as a solution alleviate expand coverage KGs. It aims make predictions triplets involving novel when only few training provided reference. Previous methods have mostly focused on designing local neighbor aggregators learn entity-level information and/or...

The Es 3 is the main hydrocarbon source rock system in Nanpu Sag. Finally, TOC and potential of each sub depression were predicted. study shows that rocks 2 4 sections are mainly type II 1 respectively, with good organic matter high maturity. Biomarker compound parameters indicate section developed a semi-saline, low to medium terrestrial supplied reduction environment algal contribution; formed freshwater, medium-high contribution. multiple linear regression method more effective than ΔlgR...

Along with the significant growth in number of connected Internet Things (IoT) devices and increasingly aggressive cyberattacks, IoT cybersecurity has been facing more challenges. Security monitoring systems as one predominant security hardening approaches are often introduced to computer for detecting anomaly activities ongoing intrusion. System auditing is prevalent realizing such systems. However, most existing techniques heavily rely on network traffic analysis. In this work, we...

<p indent="0mm">Sand barriers are an engineering measure for sand fixation, and play important role in promoting dune fixation vegetation restoration. As the most widely used means of control, have a variety materials configurations. In recent years, some new appeared, but their benefits not been compared evaluated. Moreover, there is insufficient amount research on mechanism barriers. Therefore, accurate understanding optimization its configuration mode conducive to improving techniques...

Facing the problem of fast ageing, "Ageing-in-place" model has become a worldwide consensus strategy because it not only embodies "Active Ageing" concept, but also reduces burden public finance.Retirement community is an important space to realize and strategies.This article takes "The Villages" in Florida as case introduce experience Adult Retirement Community" (AARC) United States.Compared AARC, domestic academic real estate industry are more concerned about "Continuous Care...

We herein demonstrated an approach to control the spatial distribution of components in hybrid microspheres dynamically.

At present, the severe network security situation has put forward high requirements for defense technology. In order to automate botnet threat warning, this paper researches types and characteristics of Botnet. Botnet special in attributes such as packets, attack time interval, packet size. paper, data is annotated by means string recognition expert screening. The features are extracted from labeled data, then use K-means cluster analysis. clustering results show that same its unique...

The Permian Qipan Formation (P1-2q) is the aim horizon for hydrocarbon source rocks in piedmont area of southwestern Tarim Basin. In present study, depositional environment and geochemical characteristics muddy P1-2q were systematically evaluated using total organic carbon (TOC), Rock-Eval pyrolysis, vitrinite reflectance (Ro), reflected light microscopy, main trace element, biomarker parameters 167 outcrop samples 176 core samples. TOC primarily concentrated within range 0.36% to 2.77%,...

Background noise reduction has been studied for many years. However, unwanted human speech suppression is not well discussed due to sparsity of the signal. Traditional blind source separation (BSS) methods such as independent component analysis (ICA) assume prior knowledge number sources and require that must equal sensors. Above limitations prevent practical use enhancement using traditional BSS mobile phone communication. In this paper, a combination method speaker recognition system (SRS)...

To address the issues of insufficient robustness, unstable features, and data noise interference in existing network attack detection identification models, this paper proposes an traffic method based on temporal spectrum. First, is segmented by a sliding window to construct feature sequence corresponding label for traffic. Next, proposed spectral generation methods, SSPE COAP, are applied transform into labels features. Spectral features used capture represent behavioral patterns attacks....

This paper aims to provide a novel design of multiscale framelets convolution for spectral graph neural networks. In the paradigm, GNNs improve learning task performance via proposing various filters in domain capture both global and local structure information. Although existing approaches show superior some graphs, they suffer from lack flexibility being fragile when information are incomplete or perturbated. Our new incorporates filtering func-tions directly designed overcome these...

Abstract The widespread availability of high-performance clocks has motivated interest in time scale algorithms. There are various algorithms use today, ranging application from scientific to commercial. weighted average algorithm been widely used generate an ensemble scale. It takes one weight for each clock according the stability or predictability However, cannot reflect long-term, mid-term and short-term performance simultaneously. Therefore, it improve at same time. To solve this...

Abstract Based on BeiDou navigation satellite system (BDS), the Quasi-Zenith (QZSS) was added to assist in studying precise point positioning (PPP) time and frequency transfer effect. Ambiguity resolution (AR) is key rapid conversion of PPP method. Therefore, this paper also used ionospheric-free combination observable-specific signal bias (OSB) product Wuhan University test time–frequency effect BDS ambiguity-fixed. In way, PPP, + QZSS PPP-AR, global (GPS) methods were formed. Six stations...

Entity alignment aims to discover unique equivalent entity pairs with the same meaning across different knowledge graphs (KGs). Existing models have focused on projecting KGs into a latent embedding space so that inherent semantics between entities can be captured for alignment. However, adverse impacts of conflicts been largely overlooked during training, thereby limiting performance. To address this issue, we propose novel Conflict-aware Pseudo Labeling via Optimal Transport model (CPL-OT)...