|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yadi Zhao, Lei Yan, Jian Wu and Ximing Song
To address the low level of intelligence and low utilization of logs in current rotary cutting equipment, this paper proposes a digital twin-based system for optimizing the rotary cutting of logs using a five-dimensional model of digital twins. The syste...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weihong Ma, Xiangyu Qi, Yi Sun, Ronghua Gao, Luyu Ding, Rong Wang, Cheng Peng, Jun Zhang, Jianwei Wu, Zhankang Xu, Mingyu Li, Hongyan Zhao, Shudong Huang and Qifeng Li
Acquiring phenotypic data from livestock constitutes a crucial yet cumbersome phase in the breeding process. Traditionally, obtaining livestock phenotypic data primarily involves manual, on-body measurement methods. This approach not only requires extens...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenqi Lyu, Wei Ke, Hao Sheng, Xiao Ma and Huayun Zhang
In response to the challenge of handling large-scale 3D point cloud data, downsampling is a common approach, yet it often leads to the problem of feature loss. We present a dynamic downsampling algorithm for 3D point cloud maps based on an improved voxel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Swati Kumari, Vatsal Tulshyan and Hitesh Tewari
Due to rising cyber threats, IoT devices? security vulnerabilities are expanding. However, these devices cannot run complicated security algorithms locally due to hardware restrictions. Data must be transferred to cloud nodes for processing, giving attac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jih-Ching Chiu, Guan-Yi Lee, Chih-Yang Hsieh and Qing-You Lin
In computer vision and image processing, the shift from traditional cameras to emerging sensing tools, such as gesture recognition and object detection, addresses privacy concerns. This study navigates the Integrated Sensing and Communication (ISAC) era,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wensi Li, Yu Zhang, Ruizhi Li, Lijun Zhang, Xingwang Zhang, Hongyin Li, Peng Nie and Shengdong Zhang
Currently, over 100 nuclear power units globally have been in operation for more than 40 years. Hindered by the limitations of computer technology at the time, these nuclear facilities lack detailed electronic drawings. Activities such as equipment repla...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mikael Sabuhi, Petr Musilek and Cor-Paul Bezemer
As the number of machine learning applications increases, growing concerns about data privacy expose the limitations of traditional cloud-based machine learning methods that rely on centralized data collection and processing. Federated learning emerges a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lixue Zhu, Zhihao Zhang, Guichao Lin, Pinlan Chen, Xiaomin Li and Shiang Zhang
Currently, the detection and localization of tea buds within the unstructured tea plantation environment are greatly challenged due to their small size, significant morphological and growth height variations, and dense spatial distribution. To solve this...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shilin Huo, Yujun Liu, Ji Wang, Rui Li, Xiao Liu and Jiawei Shi
Recently, point cloud technology has been applied in the ship engineering field. However, the dense point cloud acquired by terrestrial laser scanning (TLS) technology in ship engineering applications brings an obstacle to some powerful and advanced poin...
ver más
|
|
|
|
|
|