Authentication is the first entrance to kinds of information systems; however, traditional centered single-side authentication weak and fragile, which has security risk failure or breakdown caused by outside attacks internal cheating. In edge Internet-of-Things (IoT) environment, blockchain can apply devices better serve IoT provide decentralized high service solutions. this article, we proposed a blockchain-based modeling scheme (named BlockAuth) in environment more secure, reliable, strong...

Compared with remote sensing image (RSI) captioning methods based on the traditional encoder-decoder model, two-stage RSI include an auxiliary task to provide prior information, which enables them generate more accurate descriptions. In previous methods, however, and tasks are handled separately, is time-consuming ignores mutual interference between tasks. To solve this problem, we propose a novel joint-training (JTTS) method. We use multi-label classification design differentiable sampling...

The world’s rapid industrialisation and population expansion have led to water pollution, causing significant disruption the activities of humans, animals, plants. Organic contamination content in is commonly evaluated by measuring chemical oxygen demand (COD). However, traditional COD detection methods often require additional reagents, resulting secondary extended time. In this study, we propose implement a reflective system that measures UV-Vis absorption spectra without contact...

Near-infrared diffuse correlation tomography (DCT) is an emerging technology for tomographic imaging of blood flow index (BFI) in biological tissues through quantifying the light electric field temporal autocorrelation function. With conventional approaches, proper reconstruction BFI images a challenging task from limited DCT signals due to severe imbalance between optical measurements and voxels be reconstructed. In this study, we proposed complete deep learning solution DCT, including...

The objective of hyperspectral remote sensing image salient object detection (HRSI-SOD) is to identify objects or regions that exhibit distinct spectrum contrasts with the background. This area holds significant promise for practical applications; however, progress has been limited by a notable scarcity dedicated datasets and methodologies. To bridge this gap stimulate further research, we introduce first HRSI-SOD dataset, termed HRSSD, which includes 704 images 5327 pixel-level annotated...

The basic concept of teacher education professional certification is "students-centered, export-oriented, and continuous improvement". evaluation graduation requirements strictly controls the "export" higher education, which a key link in certification. It an important guarantee for deepening reform system improving training quality normal students. Comprehensive objective results provide basis improvement system. majors involves various aspects student, closed-loop system, including...

Discriminative correlation filter (DCF)-based methods have demonstrated superior performance in UAV tracking via fusing multiple types of features and updating models online. However, most DCF-based trackers simply cascade different features, failing to fully take advantage their complementary strength. In addition, online update strategies are limited using a single fixed learning rate, which often leads model degradation when suffering challenges. this paper, we present an Auto-Perceiving...

The studies on autonomous learning based the theories of constructivism and advantages technology propose valuable ideas for modern teaching practices. In this paper, we put forward ways methods in developing learner awareness, strategies habits Henan College Finance Taxation (HCFT), taking English reading course as an example. most significant findings are that model guided experimentation promoted students’ language competence to a larger degree than traditional learning, experimental...

The bondage number of a nonempty graph G is the cardinality smallest set edges whose removal from results in domination greater than G. In this paper, we prove that for 1-planar

The sixth-generation (6G) wireless technology contributes to the establishment of Internet Things (IoT). Recently, IoT has become popular because its smart architectures and various applications. Among these applications, intelligent urban surveillance systems for cities are becoming more important. Therefore, designing a robust visual tracking method an urgent task. Deep Siamese convolutional neural networks have been applied recently their advantageous abilities learn matching function...

Studies on autonomous learning based the theories of constructivism and advantages technology present new ideas for modern English teaching in China. In this paper, we put forward a model developing learner Henan College Finance Taxation (HCFT), taking reading course as an example. The most significant findings are that guided experimentation promoted students’ language much better than traditional ways learning, experimental students became more positive effective college learning.

Traditional ACQUIRE models perform the discrimination tasks of detection (target orientation, recognition and identification) for military target based upon minimum resolvable temperature difference (MRTD) and Johnson criteria for thermal imaging systems (TIS). criteria is generally pessimistic performance predict sampled imager with development focal plane array (FPA) detectors digital image process technology. Triangle orientation discrimination threshold (TOD) model, perceived (MTDP)/...

The quality attributes and cell wall materials of ‘Suli’ plums stored at 4 °C 25 with 80%–90% relative humidity were investigated. Rapid changes in firmness, soluble solids content (SSC), titratable acidity (TA), decay rate evaluated. These suppressed the °C. Modification walls was investigated by Fourier transform infrared (FTIR) spectroscopy atomic force microscopy (AFM). FTIR AFM indicated that low temperature significantly maintained integrity, as well conversion protopectin degradation...