The existence of humans and the preservation natural ecological equilibrium depend greatly on trees. semantic segmentation trees is very important. It crucial to learn how properly automatically extract a tree’s elements from photographic images. Problems with traditional tree image include low accuracy, sluggish learning rate, large amount manual intervention. This research suggests use well-known network technique based deep called Yolo v7 successfully accomplish accurate Due class...

Abstract Sparse-view Reconstruction can be used to provide accelerated low dose CT imaging with both scan and reduced projection/back-projection calculation. Despite the rapid developments, image noise artifacts still remain a major issue in protocol. In this paper, deep learning based method named Improved GoogLeNet is proposed remove streak due projection missing sparse-view reconstruction. Residual study of reconstruction, then subtracts obtained by from sparse reconstructed images,...

With the popularization of mobile devices, location based services (LBS) have received significant attention. Global Navigation Satellite System (GNSS) that widely used outdoors is unable to achieve high-precision positioning indoors, thus various indoor methods are proposed for precise positioning. Wi-Fi provide accurate and efficient due convenience hardware facilities. Channel state information (CSI) an essential feature provided by signals, which depicts fine-grained features channels,...

This article investigates the secrecy performance for an unmanned aerial vehicle (UAV)-aided nonorthogonal multiple access (NOMA) network in context of underlay cognitive radio. Specifically, a multiantenna secondary source ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$S$ </tex-math></inline-formula> ) transmits mixed signal incorporated with NOMA to two destinations notation="LaTeX">$D_{i}$ via...

Walnut grading is an important step before the product enters market. However, traditional walnut primarily relies on manual assessment of physiological features, which difficult to implement efficiently. Furthermore, kernel is, at present, relatively unsophisticated. Therefore, this study proposes a novel deep-learning model based spatial attention mechanism and SE-network structure grade kernels using machine vision ensure accuracy improve efficiency. In experiment, we found through...

Introduction In the context of intelligent strawberry cultivation, achieving multi-stage detection and yield estimation for fruits throughout their full growth cycle is essential advancing management greenhouse strawberries. Addressing high rates missed false detections in existing object algorithms under complex backgrounds dense multi-target scenarios, this paper proposes an improved algorithm RLK-YOLOv8 The proposed algorithm, enhancement YOLOv8, leverages benefits large kernel...

With the increasing demand of location-based services, channel state information (CSI) has attracted great interest because fine-grained it provides. In this paper, we propose an original network structure, which exploits both local and global in CSI amplitude for fingerprint localization. First, validate correlation between adjacent subcarriers introduce position-dependent feature (PDL-feature). Next, connection based deep neural (LC-DNN) is designed to improve positioning performance by...

Indoor positioning and navigation is an essential field of location-based service. Non-line sight (NLOS) error restricts the accuracy indoor positioning. Many researchers have studied localization problem in NLOS environments, but there still a that cannot be mitigated unknown areas. To solve above problems, this paper proposes method constructing virtual base stations areas (UA-VBS), presents corresponding algorithm to calculate location user equipment. Firstly, are selected initial carried...

Since impurities produced during walnut processing can cause serious harm to human health, strict quality control must be carried out production. However, most detection equipment still uses photoelectric technology automatically sort heterochromatic particles, which is unsuitable for detecting endogenous foreign bodies with similar colors. Therefore, this paper proposes an improved YOLOv4 deep learning object algorithm, WT-YOLOM, in walnuts—namely, oily kernels, black spot withered and...

Forest ecological function is one of the key indicators reflecting quality forest resources. The traditional weighting method to assess based on a large amount ground survey data; it accurate but costly and time-consuming. This study utilized three machine learning algorithms estimate levels multi-source data, including Sentinel-2 optical remote sensing images digital elevation model (DEM) resource planning design data. experimental results showed that Random (RF) was optimal model, with...

The fifth generation (5G) cellular communication system is designed to support Time Difference of Arrival (TDOA), Round-Trip (RTT), and Direction (DOA) measurements for indoor positioning. To mitigate the positioning error caused by non-line-of-sight (NLOS), existing base station selection methods identify channel conditions only use line-of-sight (LOS) signals However, different selected combination would lead a geometric dilution precision (GDOP), based on condition not fully applicable...

Accurate recognition of the flowering stage is a prerequisite for flower yield estimation. In order to improve accuracy based on complex image background, such as flowers partially covered by leaves and with insignificant differences in various fluorescence, this paper proposed an improved CR-YOLOv5s recognize buds blooms chrysanthemums emphasizing feature representation through attention mechanism. The coordinate mechanism module has been introduced backbone YOLOv5s so that network can pay...

There are a lot of non-blind image deblurring methods, especially with the total variation (TV) model-based method. However, how to choose parameters adaptively for regularization is major open problem. We proposed very novel method that based on TV deep network learn best regularization. used learning and prior knowledge set up TV-based calculate regularization, such as biases weights. Therefore, we idea update these automatically avoid sophisticated calculations. Our experimental results...

Vehicle positioning with 5G can effectively compensate for the lack of vehicle based on GNSS (Global Navigation Satellite System) in urban canyons. However, there is also a large ranging error non-line sight (NLOS) propagation 5G. Aiming to solve this problem, we consider new time delay estimation algorithm called cancellation multiple signal classification (NC-MUSIC). This uses cross-correlation identify and cancel NLOS signal. Then, an unsupervised multipath method used estimate number...

This paper investigates a sliding mode controller based on quantum particle swarm optimization algorithm (QPSO) to solve the nonlinearity of electro-hydraulic servo systems, external disturbance problems, and jitter controller. The system state space equations are established, constructing surface according tracking error obtaining output ITAE metric is used as an adaptation function QPSO evaluate parameters in controller, which has good engineering utility parameter selectivity. increase...

Cellular communication systems support mobile phones positioning function for Enhanced-911 (E-911) location requirements, but the accuracy is poor. The fifth-generation (5G) cellular system can use indoor distribution to provide accurate multiple time-difference-of-arrival (TDOA) and single time-of-arrival (TOA) measurements, which could significantly improve ability. Unlike iterative localization algorithms TDOA or TOA, existing closed-form algorithms, such as Chan-Ho algorithm, do not have...

With the increasing popularity of location-based services, channel state information (CSI) has received widespread attention in positioning due to fine-grained it provides. However, raw amplitudes CSI are especially sensitive noise and easily effected by frequency-selective fading. As expanding test area, is disturbed random insufficient resolution features severely. In this paper, we propose Cluster-Mapping (C-Map), an adaptive pre-processing system for amplitude-based fingerprint...

With the rapid development and popularization of WiFi technology, positioning based on signal has become a hotspot in field indoor research. The current access point (AP) deployment been very dense, which ensures wide coverage signal. However, AP environments is often irregular, with large number redundant nodes, complex environment can also have an impact propagation, greatly reduces accuracy increases time space overhead calculation process. To solve above problems, this paper proposes...

To solve the problem of multiple sound recognition in application Sagnac optical fiber acoustic sensing system, a multi-source synchronous algorithm was proposed, which combined VMD (variational modal decomposition) and MFCC (Mel-frequency cepstral coefficient algorithm) to pre-process photoacoustic signal, uses BP neural network recognize signal. The analysis feature extraction theory signal based on algorithms were presented. system program design completed network. Signal acquisition...

Aiming at the complexity and networked characteristics of shipboard electric power network, complex network theory thinking is introduced to transform into a topology graph, using reliability theory, combined with minimum path method, nodes large contribution failure rate are set as fault monitoring points for real-time network. In order solve problem location in this paper utilizes shortest circuit idea realize search faulty segments, simulation experiments carried out two cases line node...