Target recognition and segmentation in turbid water using data from non-turbid conditions: a unified approach and experimental validation.

Semantic segmentation of targets in underwater images within turbid water environments presents significant challenges, hindered by factors such as environmental variability, difficulties in acquiring datasets, imprecise data annotation, and the poor robustness of conventional methods. This paper addresses this issue by proposing a novel joint method using deep learning to effectively perform semantic segmentation tasks in turbid environments, with the practical case of efficiently collecting polymetallic nodules in deep-sea while minimizing damage to the seabed environment. Our approach includes a novel data expansion technique and a modified U-net based model.

Three-Stage Interpolation Method for Demosaicking Monochrome Polarization DoFP Images.

The emergence of polarization image sensors presents both opportunities and challenges for real-time full-polarization reconstruction in scene imaging. This paper presents an innovative three-stage interpolation method specifically tailored for monochrome polarization image demosaicking, emphasizing both precision and processing speed. The method introduces a novel linear interpolation model based on polarization channel difference priors in the initial two stages.

Fast image visibility enhancement based on active polarization and color constancy for operation in turbid water.

Vehicles operating in a water medium sometimes encounter harsh conditions with high turbidity and low scene illumination, making it challenging to obtain reliable target information through optical devices. Although many post-processing solutions were proposed, they are not applicable to continuous vehicle operations. Inspired by the advanced polarimetric hardware technology, a joint fast algorithm was developed in this study to address the above problems.

Shape Deformation and Drag Variation of a Coupled Rigid-Flexible System in a Flowing Soap Film.

We experimentally study the soap film flow past a rigid plate with a trailing closed filament of a small bending modulus acting as a flexible afterbody. The complex fluid-structure interactions due to the deformable afterbody shape and corresponding dynamics are studied. We find that the shape of the afterbody is determined by filament length, filament bending modulus, and flow speed.

An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion.

Accurately obtaining roll angles is one of the key technologies to improve the positioning accuracy and operation quality of agricultural equipment. Given the demand for the acquisition of agricultural equipment roll angles, a roll angle monitoring model based on Kalman filtering and multi-source information fusion was established by using the MTi-300 AHRS inertial sensor (INS) and XW-GI 5630 BeiDou Navigation Satellite System (BDS), which were installed on agricultural equipment. Data of the INS and BDS were fused by MATLAB; then, Kalman filter was used to optimize the data, and the state equation and measurement equation of the integrated system were established.

LatinPSO: An algorithm for simultaneously inferring structure and parameters of ordinary differential equations models.

Simultaneously inferring both the structure and parameters of Ordinary Differential Equations (ODEs) for a complex dynamic system is more practical in many systems identification problems, but it remains challenging due to the complexity of the underlying search space. In this research, we propose a novel algorithm based on Particle Swarm Optimization (PSO) and Latin Hypercube Sampling (LHS) to address the above problem. The proposed algorithm is termed LatinPSO, and it can be effectively used for inferring the structure and parameters of ODE models through time course data.

[Nummular headache: 21 new cases and therapeutic results].

Objective: To evaluate the clinical feature of nummular headache and the efficiency of treatment in China.

Method: The data of 21 NH patients treated from February 2006 to February 2008, were analyzed.

Results: They were 9 men, 12 women, aged 37 +/- 12 (18 - 63) years.