Polymer nanodots (PNDs) from a hybrid carbon source (glucose and glycine) which exhibit stronger fluorescence than the PNDs single or are obtained by one-pot hydrothermal treatment. It is attractive that can be used as an effective fluorescent probe for detection of iron ions with good selectivity sensitivity in aqueous solution.

Cross-view geo-localization is a task of matching the same geographic image from different views, e.g., unmanned aerial vehicle (UAV) and satellite. The most difficult challenges are position shift uncertainty distance scale. Existing methods mainly aimed at digging for more comprehensive fine-grained information. However, it underestimates importance extracting robust feature representation impact alignment. CNN-based have achieved great success in cross-view geo-localization. However still...

To keep the balance of precision and speed unmanned aerial vehicles (UAVs) in detecting insulator defects during power inspection, an improved defect identification algorithm, Insu-YOLO, which is based on latest YOLOv8 network, proposed this paper. Firstly, to lower computational complexity GSConv module introduced backbone neck network. In a lightweight content-aware reassembly features (CARAFE) structure adopted better utilize feature information for upsampling, enhances fusion capability...

UAVs typically rely on satellite navigation for positioning, yet this method proves ineffective in instances where the signal is inadequate or communication disrupted. Visually based positioning technology has emerged as a reliable alternative. In paper, we propose novel end-to-end network, OBTPN. initial phase of model, optimized distribution attention within primary aiming to achieve balance between self-attention and cross-attention. Subsequently, devised feature fusion head, which...

Wire clamps and vibration-proof hammers are key components of high-voltage transmission lines. The wire clips detected in Unmanned Aerial Vehicle (UAV) power inspections suffer from small size, scarce edge information, low recognition accuracy. To address these problems, this paper proposes a object detection (SOD) model based on the YOLOv8n, called SOD-YOLO. Firstly, an extra target layer was added to YOLOv8, which significantly improves In addition, order enhance speed model,...

Cross-view geolocalization matches the same target in different images from various views, such as views of unmanned aerial vehicles (UAVs) and satellites, which is a key technology for UAVs to autonomously locate navigate without positioning system (e.g., GPS GNSS). The most challenging aspect this area shifting targets nonuniform scales among views. Published methods focus on extracting coarse features parts images, but neglect relationship between influence scale shifting. To bridge gap,...

Unmanned Aerial Vehicles (UAVs) rely on satellite systems for stable positioning. However, due to limited coverage or communication disruptions, UAVs may lose signals In such situations, vision-based techniques can serve as an alternative, ensuring the self-positioning capability of UAVs. most existing datasets are developed geo-localization task objects captured by UAVs, rather than UAV self-positioning. Furthermore, apply discrete sampling synthetic data, Google Maps, neglecting crucial...

Traditional simultaneous localization and mapping (SLAM) methodologies predominantly rely on the assumption of a static environment. This constraint limits applicability most visual SLAM systems in various real-world scenarios. In this paper, we introduce real-time semantic algorithm tailored for complex dynamic environments (DRV-SLAM). DRV-SLAM leverages image analysis to identify potential moving objects determine their current motion states. By dynamically adjusting rejection unreliable...

It is a challenging task for unmanned aerial vehicles (UAVs) without positioning system to locate targets by using images. Matching drone and satellite images one of the key steps in this task. Due large angle scale gap between views, it very important extract fine-grained features with strong characterization ability. Most published methods are based on CNN structure, but lot information will be lost when such methods. This caused limitations convolution operation (e.g. limited receptive...

The geo-localization and navigation technology of unmanned aerial vehicles (UAVs) in denied environments is currently a prominent research area. Prior approaches mainly employed two-stream network with non-shared weights to extract features from UAV satellite images separately, followed by related modeling obtain the response map. However, extracts independently. This approach significantly affects efficiency feature extraction increases computational load. To address these issues, we...

Within research on the cross-view geolocation of UAVs, differences in image sources and interference from similar scenes pose huge challenges. Inspired by multimodal machine learning, this paper, we design a single-stream pyramid transformer network (SSPT). The backbone model uses self-attention mechanism to enrich its own internal features early stage cross-attention later refine interact with different eliminate irrelevant interference. In addition, post-processing part model, header...

With the increasing utilization of sampling-based path planning methods in field mobile robots, RRT* algorithm faces challenges complex indoor scenes, including high sampling randomness and slow convergence speed. To tackle these issues, this paper presents an improved path-planning based on generalized Voronoi diagram with adaptive bias strategy. Firstly, leverages properties (GVD) to obtain heuristic paths, a region target is constructed, purposefulness process. Secondly, node expansion...

UAV localization in denial environments is a hot research topic the field of cross-view geo-localization. The previous methods tried to find corresponding position directly satellite image through image, but they lacked consideration spatial information and multi-scale information. Based on method finding points with an we propose novel architecture—a Weight-Adaptive Multi-Feature fusion network for (WAMF-FPI). We treat this positioning as low-level task achieve more accurate by restoring...

A novel sensor was developed based on the electrostatic layer-by-layer (LBL) self-assembly technique a glassy carbon electrode (GCE) modified with nitrogen-doped graphene (NG) and polyethylenimine (PEI). Electrochemical studies exhibit that assembled NG multilayer films have favorable electron transfer ability electrocatalytic property, which could enhance response signal towards dopamine (DA) in presence of ascorbic acid (AA). In addition, possess an excellent sensing performance for...

In a competitive market environment, privatized generating companies are pressured to more efficiently maintain their equipment in order maximize profit. As result, condition based maintenance is becoming popular and highlighted by researchers practitioners power plants due its advantages of improving efficiency avoiding unnecessary maintenance. A new opportunistic policy proposed for multiunit systems (e. g. unit) this paper. Under policy, the deterioration processes discrete modeled using...