Information and communication technology (ICT) components, especially actuators in automated irrigation systems, are essential for managing precise optimal soil moisture, enhancing orchard growth yield. However, actuator malfunctions can lead to inefficient irrigation, resulting water imbalances that impact crop health reduce productivity. The objective of this study was develop a signal processing technique detect potential based on the power consumption level operating status an system. A...

Obstacle avoidance path planning capability, as one of the key capabilities UAV (Unmanned Aerial Vehicle) to achieve safe autonomous flight, has always been a hot research topic in filed. As commonly used obstacle algorithm, RRT (Rapid‐exploration Random Tree) algorithm can carry out real time and online. In addition, it obtain asymptotically optimal on premise ensuring completeness probability. However, some problems, such high randomness, slow convergence speed, long transit time, curved...

This paper considers the problem of multiple traveling salesperson (MTSP) with depots and closed path. We analyzed advantages disadvantages Partheno-Genetic algorithm (PGA) in solving MTSP. By integrating reproduction mechanism invasive weed (IWO), we have solved defect that local information individuals PGA population may be missing, obtained improved (RIPGA), which greatly improves solution performance. comparing RIPGA other GAs intelligent algorithms on a large number (TSP) test...

Abstract A method for Underdetermined Blind Source Separation is proposed using third‐order cumulants and tensor compression. To effectively suppress symmetrical distributed noise, the cumulant considered. Additionally, complexity of high‐dimensional tensors can be reduced through high order singular value decomposition (HOSVD) compression purposes. The begins by calculating whitening signals at different time delays, then stacks several into a fourth‐order tensor. HOSVD applied to tensor,...

Demand and market value for pennywort largely depend on the quality of leaves, which can be affected by various ambient environment or fertigation variables during cultivation. Although early detection defects in leaves would enable growers to take quick action, conventional manual is laborious time consuming as well subjective. Therefore, objective this study was develop an automatic leaf defect algorithm plants grown under controlled conditions, using machine vision deep learning...

Aimed at the bottleneck of Firework Algorithm's performance and problem that it is easy to fall into local extremum, this paper introduces a chaotic map approach analyzes its statistical characteristics. New hybrid systems perturbation operator are designed. Based on different approaches, new Chaotic Algorithm (CFWA) proposed simulated by typical test functions. The results show generally better than original algorithms, approaches superior single approaches. In order further verify...

Abstract A novel method for preparation of a dense diffusion barrier limiting current oxygen sensor is presented. The thin‐layer with the nominal composition Sr‐, Mg‐ and Fe‐doped lanthanum gallate ( LSGMF ) was prepared over La 0.8 Sr 0.2 Ga Mg O 3–δ LSGM electrolyte by thermal method. crystal structure, morphology, elemental distribution, conductivity, sensing performance sample were investigated. X‐ray diffraction XRD analysis shows highly crystalline perovskite. SEM ‐ EDS that about 40...

In the presence of main lobe jamming, performance modern radar system would degrade significantly. this study, a blind source separation (BSS) method based on an Adaptive Opposite Fireworks Algorithm (AOFWA) is proposed to address problem ineffective target echo detection when subjected jamming. First, signal model for BSS applied in anti-main jamming provided, and number signals estimated. Then, adaptive opposite learning operator designed improve optimization capability convergence speed...

Blind Source Separation (BSS) of complex signals composed radar, communication and jamming is the first step in an integrated electronic system, which requires higher accuracy separation. However, traditional Single-Channel (SCBSS) method has low separation poor robustness. Aiming at this problem, paper proposes a SCBSS based on spatial-temporal fusion deep learning model. This neural network model, realizes mixed by integrating Convolutional Neural Network (CNN) Bidirectional Long...

The separation of time–frequency mixing signals composed radar, communication, and jamming is the first step in integrated reception processing, which requires higher accuracy for complex blind source (CVBSS). However, traditional CVBSS methods have limitations such as low accuracy, a slow convergence speed, poor robustness signal-to-noise ratio (SNR) high jamming-to-signal (JSR) scenarios. To address above issues, this paper firstly establishes time delay mathematical model. A robust...

Changes in posture and movement during the growing period can often indicate abnormal development or health pigs, making it possible to monitor detect early morphological symptoms risks, potentially helping limit spread of infections. Large-scale pig farming requires extensive visual monitoring by workers, which is time-consuming laborious. However, a potential solution computer vision-based movement. The objective this study was recognize using masked-based instance segmentation for...

This letter proposes a multiresolution technique to address the high computational cost in remote sensing image registration. The scale-invariant feature transform is applied detect keypoints and descriptors, then, global information combined with descriptors utilized establish keypoint mappings. Keypoints are first classified according their octaves. Then, lowest resolution, of largest octave mapped information, giving an initial affine transformation <inline-formula...

For the problem that single-phase permanent magnet synchronous motor has no capability self-starting, structure with a step-airgap is adopted. Under effect of locating torque, there will be phase angle existing between rotor and stator magnetic field, so as to achieve self-starter. By using 2D-FEM, it analyzed influence on armature field field. The torques in different positions were determined from analysis by methods virtual displacement, which initial was obtained. On this basis, series...

For the first time , Holonic Particle Swarm Optimization (HPSO ) algorithm applies multiagent theory about improvement in PSO and achieved good results. In order to further improve performance of algorithm, this paper proposes an improved Adaptive (AHPSO) algorithm. Firstly, a brief review HPSO is carried out, can be studied three aspects: grouping strategy, iteration number setting, state switching discrimination. The uses approximately uniform strategy that simplest but does not consider...

This paper presents an approach to detect sharp edges for estimating point spread function (PSF) of a lens. A category PSF estimation methods from low-resolution (LR) images and estimate with the detected edges. Existing techniques usually rely on accurate detection ending points profile normal edge. In practice, however, it is often very difficult localize profiles accurately. Inaccurately localized generate poor estimation. We employ Random Sample Consensus (RANSAC) algorithm rule out...