Start point guiding and seam tracking are important parts of the robot's intelligent welding process. However, some start point guiding methods have a large amount of calculation and low accuracy. In addition, due to the large curvature of the curved weld, the problem of visual advance in seam tracking should be solved. Therefore, an efficient and accurate start point guiding and seam tracking method for curve weld is proposed in this article. First, according to the characteristics of structural light of different welds, more efficient and accurate start point detection algorithms are proposed for curve v-groove welds and curve lap welds. The extraction of key characteristic points and the judgment of the relationship between them could achieve efficient weld start point detection, and the reasonable robot speed planning during the start point searching process could improve the accuracy of the start point guiding. Besides, a sliding data queue method with cubic B-spline fitting is proposed to overcome the visual advance problem and achieve accurate seam tracking of curve welds. The sliding data queue method can plan the data queue automatically, and improve the computational efficiency by reducing the amount of data to be processed. Cubic B-spline fitting can reduce the measurement error and eliminate the data fluctuation, so as to obtain a smooth welding trajectory. The experimental results show that the proposed method could achieve efficient and accurate start point guiding and seam tracking of curve v-groove weld and lap weld.

Purpose – The purpose of this paper is to present methods for customized mapping and metadata transfer from DSpace to Online Computer Library Center (OCLC), which aims to improve Electronic Theses and Dissertations (ETD) work flow at libraries using DSpace to store theses and dissertations by automating the process of generating MARC records from Dublin Core (DC) metadata in DSpace and exporting them to OCLC. Design/methodology/approach – This paper discusses how the Shocker Open Access Repository (SOAR) at Wichita State University (WSU) Libraries and ScholarsArchive at Oregon State University (OSU) Libraries harvest theses data from the DSpace platform using the Metadata Harvester in MarcEdit developed by Terry Reese at OSU Libraries. It analyzes certain challenges in transformation of harvested data including handling of authorized data, dealing with data ambiguity and string processing. It addresses how these two institutions customize Library of Congress's XSLT (eXtensible Stylesheet Language Transformations) mapping to transfer DC metadata to MarcXML metadata and how they export MARC data to OCLC and Voyager. Findings – The customized mapping and data transformation for ETD data can be standardized while also requiring a case-by-case analysis. By offering two institutions' experiences, it provides information on the benefits and limitations for those institutions that are interested in using MarcEdit and customized XSLT to transform their ETDs from DSpace to OCLC and Voyager. Originality/value – The new method described in the paper can eliminate the need for double entry in DSpace and OCLC, meet local needs and significantly improve ETD work flow. It offers perspectives on repurposing and managing metadata in a standard and customizable way.

Underwater structured light vision systems have attracted the attention of researchers because of their high measurement accuracy and robustness. At present, most underwater structured light vision measurement systems consider that the refractive index as known parameter. However, the refractive index of water will change because of environmental changes such as salinity and temperature. Inaccurate refractive index will have seriously influence on the measurement accuracy of underwater structured light vision system. Therefore, an underwater structured light vision calibration method considering unknown refractive index is proposed. To avoiding complex calibration process and complex solution process of nonlinear underwater structured light vision model, a novel checkerboard usage calibration method based on Aquila Optimizer (AO) is proposed. The calibration solution process is regarded as nonlinear optimization problem, and the optimization objective is established with the distance between the feature points intersected by the checkerboard and the laser. Finally, calibration and measurement experiments are carried out to verify the effectiveness and superiority of the proposed method.

Entity management in a Linked Open Data (LOD) environment is a process of associating a unique, persistent, and dereferenceable Uniform Resource Identifier (URI) with a single entity. It allows data from various sources to be reused and connected to the Web. It can help improve data quality and enable more efficient workflows. This article describes a semi-automated entity management project conducted by the “Wikidata: WikiProject Chinese Culture and Heritage Group,” explores the challenges and opportunities in describing Chinese women poets and historical places in Wikidata, the largest crowdsourcing LOD platform in the world, and discusses lessons learned and future opportunities.

Safety and reliability are vital for robotic fish, which can be improved through fault diagnosis. In this study, a method for diagnosing sensor faults is proposed, which involves using Gramian angular field fusion with particle swarm optimization and lightweight AlexNet. Initially, one-dimensional time series sensor signals are converted into two-dimensional images using the Gramian angular field method with sliding window augmentation. Next, weighted fusion methods are employed to combine Gramian angular summation field images and Gramian angular difference field images, allowing for the full utilization of image information. Subsequently, a lightweight AlexNet is developed to extract features and classify fused images for fault diagnosis with fewer parameters and a shorter running time. To improve diagnosis accuracy, the particle swarm optimization algorithm is used to optimize the weighted fusion coefficient. The results indicate that the proposed method achieves a fault diagnosis accuracy of 99.72% when the weighted fusion coefficient is 0.276. These findings demonstrate the effectiveness of the proposed method for diagnosing depth sensor faults in robotic fish.

Purpose – The purpose of this paper is to examine dynamic mapping of holding locations to the animated maps in a library catalog which aims to resolve complex shelving situations, augment the user experience in locating library materials and enrich the Online Public Access Catalog (OPAC) by integrating external programming into the Integrated Library System (ILS). Design/methodology/approach – Dynamic mapping displays animated direction maps for users to locate quickly the items found in the library catalog. The maps are displayed in accordance with various shelving policies. At Wichita State University Libraries, the original bibliographic data are captured from the record results page in the OPAC and transferred to a processing program residing on another server. Instead of transferring ISBN/ISSN (International Standard Book Number/ International Standard Serial Number, as practiced by some libraries) to display the Syndetic cover images, it transfers bibliographic ID and a few other fields from MARC (MAchine-Readable Cataloging) records to a processing program which queries the ILS database for extracting data needed for the dynamic map processing. The dynamic map system consists of three sections: queried data from the ILS database, programming logic, and dynamic maps. Findings – Compared to title-level shelving map displays that have been implemented in some libraries, holding level map displays solve the problem of complex shelving situations, such as a title with multiple copies shelved in different locations and/or in different formats. Originality/value – This project received very positive feedback from the library community and this paper will provide information to those libraries which are interested in dynamically presenting holding information in their OPAC.