In the context of large-scale fire areas and complex forest environments, task identifying subtle features aspects can pose a significant challenge for deep learning model. As result, to enhance model’s ability represent its precision in detection, this study initially introduces ConvNeXtV2 Conv2Former You Only Look Once version 7 (YOLOv7) algorithm, separately, then compares results with original YOLOv7 algorithm through experiments. After comprehensive comparison, proposed...

Forest fires pose a severe threat to ecological environments and the safety of human lives property, making real-time forest fire monitoring crucial. This study addresses challenges in image object detection, including small targets, sparse smoke, difficulties feature extraction, by proposing TFNet, Transformer-based multi-scale fusion detection network. TFNet integrates several components: SRModule, CG-MSFF Encoder, Decoder Head, WIOU Loss. The SRModule employs multi-branch structure learn...

Fire risk prediction is significant for fire prevention and resource allocation. maps are effective methods quantifying regional risk. Laoshan National Forest Park has many precious natural resources tourist attractions, but there no assessment model. This paper aims to construct the forest map Nanjing Park. The model constructed by factors (altitude, aspect, topographic wetness index, slope, distance roads populated areas, normalized difference vegetation temperature) which have a great...

A forest fire susceptibility map generated with the model is basis of prevention resource allocation. more reliable helps improve effectiveness Thus, further improving prediction accuracy always goal modeling. This paper developed a based on an ensemble learning method, namely light gradient boosting machine (LightGBM), to produce accurate map. In modeling, subtropical national park in Jiangsu province China was used as case study area. We collected and selected eight variables from...

The subjective and empirical setting of hyperparameters in the random forest (RF) model may lead to decreased performance. To address this, our study applies particle swarm optimization (PSO) algorithm select optimal parameters RF model, with goal enhancing We employ optimized ensemble (PSO-RF) create a fire risk map for Jiushan National Forest Park Anhui Province, China, thereby filling research gap this region’s studies. Based on collinearity tests previous results, we selected eight...

Low and dynamic duty cycles cause that the E2E delay for packet delivery is more critical in energy-harvesting wireless sensor networks (EH-WSNs). The traditional routing protocols are constrained by in-technology communication paradigm, where Wi-Fi devices can talk to only, so on ZigBee or technology. This is, however, not necessary recent advances cross-technology (CTC). CTC enables nodes be coordinated a node without any hardware changes gateway equipment, which sheds light efficient...

The quantitative simulation of forest fire spread is great significance for designing rapid risk management approaches and implementing effective fighting strategies. A cellular automaton (CA) well suited to the dynamic spatiotemporal evolution complex systems, it therefore used model process spread. However, linked with a variety mutually influencing factors, which are too analyze using conventional approaches. Here, we propose new method modeling spread, namely LSSVM-CA, in least squares...

To tackle the problem of missed detections in long-range detection scenarios caused by small size forest fire targets, initiatives have been undertaken to enhance feature extraction and precision models designed for imagery. In this study, two algorithms, DenseM-YOLOv5 SimAM-YOLOv5, were proposed modifying backbone network You Only Look Once version 5 (YOLOv5). From perspective lightweight models, compared YOLOv5, SimAM-YOLOv5 reduced parameter 28.57%. Additionally, although showed a slight...

For rechargeable wireless sensor networks, limited energy storage capacity, dynamic supply, low and duty cycles cause that it is unpractical to maintain a fixed routing path for packets delivery permanently fro... | Find, read cite all the research you need on Tech Science Press

Due to its unique geographical and climatic conditions, the Liangshan Prefecture region is highly prone large fires. There an urgent need study growth rate of fire-burned areas fill research gap in this region. To address issue, uses Grey Wolf Optimizer (GWO) algorithm optimize hyperparameters eXtreme Gradient Boosting (XGBoost) model, constructing a GWO-XGBoost model. Finally, optimized ensemble model (GWO-XGBoost) used create fire warning map for Sichuan Province, China, filling forest...

The application of UAVs in forest fire monitoring has attracted increasing attention. When a UAV carries out cruises large area the forest, one main problems is planning an appropriate cruise path so that can start from starting point, entire with little detour, and return to initial position within its maximum distance. In this paper, we propose flight method for based on risk map. According level, uses ring self-organizing mapping (RSOM) algorithm plan corresponding path. addition, since...

Piecewise linear regressions have shown many successful applications in image denoising, signal process, and data mining fields. In essence, they attempt to seek multiple functions (piecewise/stepwise function) fit the given scatter points by various methodologies, typically point-centered clustering methods, such as <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> -means...

In a vehicular delay tolerant network (VDTN), there is no static connection, and the behavior highly temporal. This makes determining routing protocol critical for performance of network. However, traditional technology rarely considers influence VDTN's selfish nodes. Under ideal conditions, all nodes will try to store transfer as many messages possible. may not other due limited resources. Taking into account necessary improving VDTN. this paper, we calculate each node's credit value by...

Forest fires create burned and unburned areas on a spatial scale, with the boundary between these known as fire boundary. Following an analysis of forest boundaries in northern region Yangyuan County, located Liangshan Yi Autonomous Prefecture Sichuan Province, China, several key factors influencing formation were identified. These include topography, vegetation, climate, human activity. To explore impact different spaces potential results, we varied distances matched sample points built six...

Abstract Natural rubber (NR) latex was used as template, melamine precursors, g‐C 3 N 4 (CN) were synthesized by thermal polymerization. The results of structure and morphology show that CNs have obvious two‐dimensional laminar improved specific surface area, the area attend to 40.26 m 2 /g 2.4 times no NR added CN (0%‐CN) when wt% (4%‐CN). (4%‐CN) particles then compounded with prepare NR/CN composites. mechanical properties tensile modulus, tear strength cross‐link density films increase...

Forest road network plays a key role in shortening the response time of firefighting activities. Therefore, evaluation and improvement ability forest roads are essential. The widely used travel criterion showed that firefighters can reach areas fires by walking carrying portable fire equipment. However, capability provided this method is very limited. It difficult to ensure be controlled. This study proposed new distance (FFDC) evaluate actual coverage network. Then, we an approach aims at...

A conventional Wireless Sensor Network (WSN) cannot have an infinite lifetime without a battery recharge or replacement. Energy Harvesting (EH), from environmental energy sources, is promising technology to provide sustainable powering for WSN. In this paper, we propose and investigate novel predictive management framework that combines the Maximal Power Transferring Tracking (MPTT) algorithm, allocation strategy, high efficiency transmission power control mechanism: First, MPTT optimal...

Forest fire poses a significant threat not only to the natural environment and ecological systems but also safety of human life property. Combined with new technologies, decision tree algorithm is proposed for forest prediction, in which wireless sensor networks technology utilised transmit data predict ignition forest. There are four meteorological parameters as part training data, containing temperature, relative humidity, wind speed, daily precipitation, while other prediction results...

Dispatching firefighting resources effectively plays a vital role in wildfire management. To control the fire timely manner, should be dispatched an effective and reasonable way. Moreover, relationship between various resource-dispatching processes intuitive for firefighters to make decisions. In this paper, we propose novel event-response tree-based model dispatch different kinds of based on suppression index (SI), which evaluates effect by considering time, cost, dispatching resources....