Change detection (CD) is a hot research topic in the remote sensing (RS) community. With increasing availability of high-resolution (HR) RS images, there growing demand for CD models with high accuracy and generalization ability. In other words, are expected to work well various HRRS images. Convolutional neural networks (CNNs) have been dominated image due their excellent information extraction nonlinear fitting capabilities. However, they not skilled modeling long-range contexts hidden...

Extracting muscle synergies from surface electromyographic signals (sEMGs) during exercises has been widely applied to evaluate motor control strategies. This study explores the relationship between upper-limb and performance of joystick manipulation tasks. Seventy-seven subjects, divided into three classes according their maneuvering experience, were recruited perform left right reciprocation joystick. Based on motion encoder data, was evaluated by mean error, standard deviation, extreme...

Herein, we report a facile route to synthesize silane coated upconversion nanoparticles (UCNPs@silane) with an ultrathin layer (the thickness: 1-2 nm), which not only provides good biocompatibility, but also affords hydrophobic interspace load organic molecules realize multifunctions. Besides the function of imaging UCNPs, cancer therapy and oxygen level detection can be realized by addition chemotherapy drug, PTX, sensitive molecules, Platinum (II) octaethylporphine (PtOEP). In...

Abstract Background The surface electromyography (sEMG) signal presents significant challenges for the dynamic analysis and subsequent examination of muscle movements due to its low energy, broad frequency distribution, inherent noise interference. However, conventional wavelet threshold filtering techniques sEMG signals are plagued by Gibbs-like phenomenon an overall decrease in amplitude, leading distortion. Purpose This article aims establish improved thresholding method that can filter...

Osteosarcoma has the characteristics of rapid recurrence, metastasis, and difficulty in repairing bone defects caused by tumorectomy. A therapeutic strategy with multimode synergistic antitumor effects benefits for repair are needed. Herein, a multifunctional nanoplatform based on PAH-MnO2@BP nanosheets loaded thermosensitive gel poly(d,l-lactide)-poly(ethylene glycol)-poly(d,l-lactide) (PDLLA-PEG-PDLLA, PLEL) was designed situ osteosarcoma synergy therapy...

Abstract We propose a novel framework to recognize individuals from gait, in order improve HRI. collected the motion data of torso 13 persons’ using 2 IMU sensors. developed Feature Value Method which is PCA based classifier and we achieved an average individual recognition rate 94% through cross-validation.

Proper exploitation of information technology and the strengthening construction waterway are important ways to improve shipping efficiency security. Considering upstream reaches Yangtze River from Jiangjin Chongqing (China) as a case study, three-dimensional (3D) digital system has been developed. The system, which comprises server client, was designed provide navigational early warning services shipping. In this paper, both architecture key methods each module presented. functions mutual...

To facilitate human-robot interactions with the user, it is necessary for robot to identify interaction partner. We propose use of a single wearable sensor worn at center user's belt record gait when partner approaches robot. Based on data cycle recorded inertial measurement unit (IMU), we person by his/her walking style. For identification, first detect individual strides. introduce simple feature that characterizes individual's asymmetry and classify using Bayes classifier. evaluate our...

This is the 2d stage of a study on familiar during HRI. We demonstrated interest better understanding human experience for an adapted and successful also studied impact robot's social behavior partner's familiar, appreciation interaction, anthropomorphism robot, reactions to it's actions. Here, we explore relation between experiencing engaging actions, reacting them. look at participants' response 3 non verbal actions NAO. The analysis uses answers questionnaire, their decisions react or not...

Simultaneous multi-impact simulation is a challenging problem that frequently arises in physically-based modeling of rigid bodies. There are several physical criteria should be satisfied for body collision handling, but existing methods generally fail to meet one or more them. In order capture the inner process potential energy variation, which foundation collisions system, we present novel quadratic contact model simulation. By constructing functions with respect impulses, post-impact...

Abstract. At present, the LiDAR system can achieve high precision and is extensively used for indoor outdoor mobile positioning mapping. However, systems still face issues in cluttered environments where strong features are absent, leading to a degradation of LiDAR-based solution. When carrier movement involves high-speed or prolonged exposure mirror wall, it cause severe even failures laser slam system. Event cameras vision sensors inspired by biology that exhibit robustness dynamic low...

Existing LiDAR-Inertial Odometry (LIO) frameworks typically utilize prior state trajectories derived from IMU integration to compensate for the motion distortion within LiDAR frames, and demonstrate outstanding accuracy stability in regular low-speed smooth scenes. However, high-speed or intense scenarios, residual may increase due limitation of IMU's frequency, which will degrade consistency between frame with its represented geometric environment, leading pointcloud registration fall into...

LiDAR-Inertial Odometry (LIO) demonstrates outstanding accuracy and stability in general low-speed smooth motion scenarios. However, high-speed intense scenarios, such as sharp turns, two primary challenges arise: firstly, due to the limitations of IMU frequency, error estimating significantly non-linear states escalates; secondly, drastic changes Field View (FOV) may diminish spatial overlap between LiDAR frame pointcloud map (or frames), leading insufficient data association constraint...

This is the 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d</sup> stage of a study on familiar during HRI. We demonstrated interest better understanding human experience for an adapted and successful Here, we explore relation between experiencing familiar, robot's engaging actions, reacting to them. look at participants' response 3 non verbal actions NAO. The analysis uses answers questionnaire, their decisions react or not motion data.

Centrifugal pumps are susceptible to various faults, particularly under challenging conditions such as high pressure. Swift and accurate fault diagnosis is crucial for enhancing the reliability safety of mechanical equipment. However, monitoring data in centrifugal limited. This study employed an experimental approach gather original (vibration signal data) across types. We introduce a multi–scale sensing Convolutional Neural Network (MS–1D–CNN) model diagnosing faults pumps. The network...

The AquaCrop simulation model, modelling the dynamic change of crop growth status, is an important management tool for quantifying yield response to water. To effectively simulate soil water balance and process, a number system parameters canopy state variables are inevitably adopted. As result, certain key need be calibrated so that model can achieve better performance prediction various scales regions. This paper aims apply Bayesian technique calibrate model. In this approach, prior...