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Chi-Hieu Ngo, Seok-Ju Lee, Changhyun Kim, Minh-Chau Dinh and Minwon Park
In seaports, the automatic Grab-Type Ship Unloader (GTSU) stands out for its ability to automatically load and unload materials, offering the potential for substantial productivity improvement and cost reduction. Developing a fully automatic GTSU, howeve...
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Lin Zhang, Yanbin Gao and Lianwu Guan
For seabed mapping, the prevalence of autonomous underwater vehicles (AUVs) employing side-scan sonar (SSS) necessitates robust navigation solutions. However, the positioning errors of traditional strapdown inertial navigation system (SINS) and Doppler v...
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Hu Cai, Jiafu Wan and Baotong Chen
Traditional capacity forecasting algorithms lack effective data interaction, leading to a disconnection between the actual plan and production. This paper discusses the multi-factor model based on a discrete manufacturing workshop and proposes a digital ...
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Eunkyu Lee, Junaid Khan, Umar Zaman, Jaebin Ku, Sanha Kim and Kyungsup Kim
With the global advancement of maritime autonomous surface ships (MASS), the critical task of verifying their key technologies, particularly in challenging conditions, becomes paramount. This study introduces a synthetic maritime traffic generation syste...
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Ana-Maria ?tefan, Nicu-Razvan Rusu, Elena Ovreiu and Mihai Ciuc
This article introduces a groundbreaking medical information system developed in Salesforce, featuring an automated classification module for ocular and skin pathologies using Google Teachable Machine. Integrating cutting-edge technology with Salesforce?...
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