|
|
|
|
|
Duc Thien Tran, Tien Dat Nguyen, Minh Khiem Tran and Kyoung Kwan Ahn
A control method for a cable-driven robot in a teleoperation system is proposed using the hardware-in-the-loop (HIL) simulation technique. The main components of the teleoperated robotic system are a haptic device, also called a delta robot, and a cable-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingxiong Lei, Xuzhi Liu, Haolang Yang, Zeyu Zeng and Jun Feng
High-resolution remote sensing images (HRRSI) have important theoretical and practical value in urban planning. However, current segmentation methods often struggle with issues like blurred edges and loss of detailed information due to the intricate back...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruichen He, Florian Holzapfel, Johannes Bröcker, Yi Lai and Shuguang Zhang
The emergence of eVTOL (electrical Vertical Takeoff and Landing) aircraft necessitates the development of safe and efficient systems to meet stringent certification and operational requirements. The primary state-of-the-art technology for flight control ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Sher Ramzan, Anees Asghar, Ata Ullah, Fawaz Alsolami and Iftikhar Ahmad
The Internet of Things (IoT) consists of complex and dynamically aggregated elements or smart entities that need decentralized supervision for data exchanging throughout different networks. The artificial bee colony (ABC) is utilized in optimization prob...
ver más
|
|
|
|
|
|
|
|
|
|
|
Arpad Takacs and Tamas Haidegger
The significance of V2X (Vehicle-to-Everything) technology in the context of highly automated and autonomous vehicles can hardly be overestimated. While V2X is not considered a standalone technology for achieving high automation, it is recognized as a sa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yi?an Wang, Zhe Wu and Dong Ni
Optimizing the heliostat field aiming strategy is crucial for maximizing thermal power production in solar power tower (SPT) plants while adhering to operational constraints. Although existing approaches can yield highly optimal solutions, their consider...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingyi Hu, Junfeng Guo, Zhiyuan Rui and Zhiming Wang
To solve the problem that noise seriously affects the online monitoring of parts signals of outdoor machinery, this paper proposes a signal reconstruction method integrating deep neural network and compression sensing, called ADMM-1DNet, and gives a deta...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luigi Sorrentino and Linda Giresini
This paper presents a safety tool to assess the risk of road blockage during and after emergency situations, mainly due to earthquakes. This method can be used by public authorities to calculate the risk of road paths prone to blockage in case of seismic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mazen Gazzan and Frederick T. Sheldon
Ransomware attacks have emerged as a significant threat to critical data and systems, extending beyond traditional computers to mobile and IoT/Cyber?Physical Systems. This study addresses the need to detect early ransomware behavior when only limited dat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ...
ver más
|
|
|
|
|
|