A visual measurement method based on a key point detection network is proposed for the difficulty of fitting cross-sectional profile ultra-narrow gap welds and low efficiency accuracy manual geometric parameters. First, HRnet (High-Resolution Net) algorithm was used to train feature model, 18 points in “measurement unit” were extracted. Secondly, coordinates are transformed from image coordinat...

As part of monitoring, control and surveillance marine fisheries, a logbook monitoring vessel system (VMS) were introduced for multi-day fishing. The present study investigates the possibility using VMS data to validate records fishing locations vessels. from 1,424 multiday vessels fitted with VMS, which was operated May 2017 April 2018. During period, there 17,626 trips 66,717 occasions. In tr...

In this paper we address the problem of reconstructing a structurally simple surface representation from point datasets of scanned scenes as they occur for instance in city scanning projects. Such datasets generally suffer from all kinds of scanning artifacts including noise, outliers, holes and irregular/anisotropic sampling. Most common surface reconstruction methods fail due to these shortco...

Recently, fitted Q-iteration (FQI) based methods have become more popular due to their increased sample efficiency, a more stable learning process and the higher quality of the resulting policy. However, these methods remain hard to use for continuous action spaces which frequently occur in real-world tasks, e.g., in robotics and other technical applications. The greedy action selection commonl...

In this paper, we propose a locality-constrained and sparsity-encouraged manifold fitting approach, aiming at capturing the locally sparse manifold structure into neighborhood graph construction by exploiting a principled optimization model. The proposed model formulates neighborhood graph construction as a sparse coding problem with the locality constraint, therefore achieving simultaneous nei...