FAGV is a kind of heavy equipment in the storage environment. Its path needs to be simple and smooth should able avoid sudden obstacles process driving. According environmental characteristics intelligent task requirements FAGV, this paper proposed hybrid dynamic planning algorithm for based on improved A* DWA. The can plan global optimal more suitable FAGV. evaluation function DWA ensure that local closer path. combines rolling window method unknown static obstacles. In addition, verifies...

The HMM (hidden Markov model) is a probabilistic model of the joint probability collection random variables with both observations and states. GMM (Gaussian mixture finite distribution model. Although two models have close relationship, they are always discussed independently separately. EM (expectation-maximum) algorithm general method to improve descent for finding maximum likelihood estimation. similar formulae. Two points proposed in this paper. One that can be regarded as special HMM....

Abstract When there are obstacles around the target point, mobile robot cannot reach using traditional artificial potential field (APF). Besides, APF is prone to local oscillation in complex terrain such as three‐point collinear or semiclosed obstacles. Aiming at solving defects of APF, a novel improved algorithm named back virtual obstacle setting strategy‐APF has been proposed this paper. There two main advantages method. First, by redefining gravitational function logarithmic function,...

The efficiency of the rapidly exploring random tree (RRT) falls short when efficiently guiding targets through constricted-passage environments, presenting issues such as sluggish convergence speed and elevated path costs. To overcome these algorithmic limitations, we propose a narrow-channel path-finding algorithm (named NCB-RRT) based on Bi-RRT with addition our proposed research failure rate threshold (RFRT) concept. Firstly, three-stage search strategy is employed to generate sampling...

In the development of side-impact safety performance in automobiles, injury conditions far-side occupants have gradually been incorporated into evaluation system automotive China. This study, based on three Chinese assessment system, employs finite element method to analyze and motion characteristics under various impact scenarios. The results indicate that C-NCAP 75 POLE condition, certain areas dummy sustain more severe injuries. These findings provide data references for measures aimed at...

In graph theory, Hamiltonian path refers to the that visits each vertex exactly once. this paper, we designed a method generate random within digital images, which is equivalent permutation in image encryption. By these means, building across bit planes can shuffle distribution of pixel’s bits. Furthermore, similar thought be applied for substitution grey levels. To ensure randomness generated path, an adjusted Bernoulli map proposed. adopting novel techniques, bit-level encryption scheme...

Recently, many chaos-based image encryption algorithms have been proposed. Most of them adopt the traditional confusion-diffusion framework. Multiple rounds or one round complex is typically executed in these schemes to realize high security. However, operations will reduce computational efficiency. To overcome issues, we propose a novel key-substitution architecture (KSA). Under proposed KSA, design key scheming for updating initial keys using plain-image and develop new substitution method...

Noise always influences on the result of signal-detection, therefore it is a hot topic to detect signal under low signal-to-noise ratio (SNR) in current detection field. However, an intractable problem signal-detection extract weak high noisy environment. Adaptation filter provides simple and useful way signal. Through measuring studying, possible carry out best combination condition In this paper, we propose novel mechanism ECG based adaptation wavelet transform (WT). We adopt sub-strap...

Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang. Proceedings of the 59th Annual Meeting Association for Computational Linguistics and 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.

In warehouses with vast quantities of heavy goods, heavy-duty forklift Automated Guided Vehicles (AGVs) play a key role in facilitating efficient warehouse automation. Due to their large load capacity and high inertia, AGVs struggle automatically navigate optimized routes. Additionally, rapid acceleration deceleration can pose safety hazards. This paper proposes velocity-adaptive model predictive control (MPC)-based path tracking method for AGVs. The movement forklift-type is categorized...

Background Applying convolutional neural networks to a large number of EEG signal samples is computationally expensive because the computational complexity linearly proportional dimensions signal. We propose new Gated Recurrent Unit (GRU) network model based on reinforcement learning, which considers implementation attention mechanisms in Electroencephalogram (EEG) processing scenarios as learning problem. Methods The can adaptively select target regions or position sequences from inputs and...

Humanoid robotic hand actuated by shape memory alloy (SMA) represents a new emerging technology. SMA has wide range of potential applications in many different fields, ranging from industrial assembly to biomedicine applications, due the characteristic high power-to-weight ratio, low driving voltages and noiselessness. However, nonlinearities complex dynamic models SMA-based hands result difficulties controlling. In this paper, humanoid composed five fingers is presented with ability...

Shape Memory Alloy (SMA) with the advantage of high power-to-weight ratio as a promising alternative to traditional actuators is widely applied robotic systems. Due merits low noise, driving voltages and small size SMA used in hand. Hysteresis phenomenon dynamic model SMA-based hand are complexities control system. In this paper, we apply reinforcement learning (RL) algorithm actuated by for motion control. The proposed can achieve desired bending state grasp object effectively steadily.

To reduce noise in low dose Computed tomography (CT) images, this paper proposes an algorithm which the projection domain de-noising method is combined with wavelet-domain sparsity and total variation (TV) regularization. This approach uses a unified wavelet-TV that estimates all wavelet coefficients simultaneously via minimization of single objective function non-convex penalty item. The experimental results demonstrate proposed can significantly improve quality preserve edges CT images.