In this paper we consider the issue of localization in context underwater sensor networks which contain anchor nodes with perfect knowledge their position, but asynchronous clocks. By taking advantage a sequential transmission protocol and broadcasting nature acoustic medium, entire network can be localized simultaneously small overhead. Additionally, it initiated by any node at time. Through extensive simulation derivation Cramer-Rao Lower Bound (CRLB), first verify utility performance...

The safe operation of high-voltage transmission lines ensures the power grid’s security. Various foreign objects attached to lines, such as balloons, kites and nesting birds, can significantly affect stable lines. With advancement computer vision technology, periodic automatic inspection is efficient necessary. Existing detection methods have low accuracy because are complex, including occlusions, diverse object types, significant scale variations, complex backgrounds. In response practical...

The belt conveyor is the most commonly used conveying equipment in coal mining industry. As core part of conveyor, vulnerable to various failures, such as scratches, cracks, wear and tear. Inspection defect detection essential for belts, both academic research industrial applications. In this paper, we discuss existing techniques production state-of-the-art theories tear detection. First, basic structure belts discussed an overview methods studied. Next, causes are classified, aging,...

With the development of few-shot learning, significant progress has been achieved in hyperspectral image classification using related networks, leading to improved outcomes. However, practical encounters challenges such as network overfitting and insufficient feature extraction during model training process. To address these issues, we propose a called CRSSNet (Convolutional Residuals SAM Siamese Networks) for classification. In this model, deepen depth employ convolutional residual...

Detecting bolt defects on transmission lines is crucial for ensuring the safe operation of electrical power system. However, existing methods detecting require higher detection accuracy and smaller model sizes. To address these challenges, this paper proposes a real-time defect based YOLOv7, named YOLOv7-CWFD. The integrates Channel Shuffle Diverse Path Aggregation Network (CSDPAN), significantly reducing computational parameter complexity while maintaining high accuracy. Additionally,...

The cotter pin is a critical component in power transmission lines, as it prevents the loosening or detachment of nuts at essential locations. Therefore, detecting defects pins vital for monitoring and diagnosing faults systems. Due to environmental factors human errors, are susceptible becoming missing. In split detection, primary challenges lie small size target features fine-grained issue “small inter-class differences large intra-class variations”. This paper aims enhance detection...

Abstract Solar radio burst (SRB) detection is crucial for solar physics research and space weather forecasting. The main challenges faced are noise interference in the spectrum diversity of SRBs. However, most focuses on classifying whether SRBs exist or detecting a single type SRB. Existing models exhibit deficiencies accuracy SRB detection. Moreover, existing cannot effectively handle background spectrograms significant scale variations among different types. This paper proposes...

Shale brittleness is one of the essential parameters for shale gas reservoir evaluation. Based on correlation analysis between triaxial test and XRD results samples from Wufeng-Longmaxi formations in Shuanghe outcrop area Sichuan Basin, south western China, we propose a new mineralogical index brittle minerals. This study shows three important results: (1) The simple sum minerals not significantly correlated to mechanical index, indicating former may be questionable estimator brittleness....

The extraction of effective classification features from high-dimensional hyperspectral images, impeded by the scarcity labeled samples and uneven sample distribution, represents a formidable challenge within image classification. Traditional few-shot learning methods confront dual dilemma limited annotated necessity for deeper, more complex data, often resulting in suboptimal outcomes. prohibitive cost annotation further exacerbates challenge, making it difficult to rely on scant number...

Accurately detecting targets in remote-sensing images is crucial for the military, urban planning, and resource exploration. There are some challenges extracting detailed features from images, such as complex backgrounds, large-scale variations, numerous small targets. This paper proposes a target detection model called RN-YOLO (YOLO with RepGhost NAM), which integrates normalization-based attention module (NAM) based on YOLOv8. Firstly, NAM added to feature extraction network enhance...

Advancement in acoustic modem technology has gradually brought underwater network into real life. Despite high cost of sea testing, there have been initial realization effort, such as Sea-Web, Aqua-Net, SUNSET, etc. As the main developers through extensive testing experiences at different scales, we recognized shortcomings Aqua-Net and decided to design implement next generation it. In this paper, introduce SeaLinx a new protocol stack architecture for networking which (i) enables users...

We investigate the problem of localizing an underwater sensor node based on message broadcasting from multiple surface nodes. With time‐of‐arrival measurements a DSP‐based multicarrier modem, each localizes itself travel time differences among senders to receiver. Using one‐way passing, such solution can scale accommodate large number nodes in network. consider issue not only physical layer, but also at processing layer by incorporating tracking solution. present simulation results, testing...

Epilepsy is a common neurodegenerative disease with an increasing morbidity. Clinical treatment of epilepsy includes symptomatic treatment, etiological surgery and prevention. The aim the present study was to determine effects antiepileptic drugs (AEDs) on serum folate vitamin B12 in various epileptic patients, examine correlation between these secondary cerebrovascular events. A total 68 diagnosed May 2012 2014, were included study. 8 cases autonomic seizures, 10 absence 13 complex partial...

Appearance defects significantly impact cigarette quality. However, in the current high-speed production lines, manual inspection and traditional methods are unable to satisfy actual demands of inspection. Therefore, a real-time high-precision defect detection model for appearance, SCS-YOLO, is presented. The integrates space-to-depth convolution (SPD-Conv), convolutional block attention module (CBAM), self-calibrated (SCConv). SPD-Conv replaces pooling structure enhance granularity feature...

Standardized Ginkgo biloba leaf extract has been used in clinical trials for its beneficial effects on brain functions, particularly dementia. Substantial experimental evidences indicated that (EGB) protected neuronal cells from a variety of insults. We investigated the effect EGB cognitive ability and protein kinase B (PKB) activity hippocampal dementia model rats. Rats received an intraperitoneal injection D-galactose to induce Forty-eight Spraque-Dawley rats were randomly divided into six...

This paper presents a novel multi-objective parameter optimization method based on the genetic algorithm (GA) and adaptive moment estimation (Adam) for design of closed-loop control system sense mode Microelectromechanical systems (MEMS) gyroscope. The proposed can improve immunity to fabrication tolerances external noise. procedure starts by deriving parameterized model mode. loop parameters are then optimized GA. Finally, ensemble is tested Monte Carlo analysis obtain robust optimal...

Nowadays PV systems is suffering from two main problems: high production cost and low efficiency especially under variable weather conditions. Therefore, to reduce such associated problems, are being connected with various optimization controllers as maximum power point tracking. In this paper, an artificial neural network method has been designed be linked between a system DC-DC buck converter, each part of the fully explained. The whole was modeled MATLAB/Simulink environment, simulation...