Zitian Peng

Xi'an Jiaotong-Liverpool University · School of Advanced Technology

Water resources have spurred the need for advanced maritime technologies, particularly for effective exploration and harnessing. Traditional maritime resource investigation methodologies are hampered by challenges such as elevated costs and risks. Unmanned Surface Vehicles (USVs) have emerged as a transformative solution, offering applications prev...

Building a high-precision bathymetry digital elevation model is essential for navigation planning, marine and lake resource planning, port construction, and underwater archaeological projects. However, existing bathymetry methods have yet to be effectively and comparatively analyzed. This paper comprehensively reviews state-of-the-art bathymetry me...

The educational credential is an important reference for enterprises to screen students. However, the educational credentials are normally stored in a centralized cloud server with improper maintenance and inadequate supervision, and students’ credentials are easily tampered with by server administrators. In addition, students’ credentials are also...

Microgrid research and construction effectively use distributed energy resources to stimulate clean energy development. Peer-to-peer (P2P) energy trading in microgrids helps create a fully competitive and autonomous energy trading market. Blockchain technology is employed to realize a P2P energy trading framework. However, while public blockchain i...

The Internet of Things (IoT) have been developed rapidly in many fields such as vending machines, smart homes, and smart city. Especially in recent years, with the maturity of 5G technology, the field of IoT engineering has undergone qualitative development. Meanwhile, due to the development of communication technologies, the dependence of IoT appl...

Federated learning (FL) is a distributed machine learning framework that solves the problem of data island while ensuring the privacy of users' data. FL only collects midway parameters with relevant features to train a learning model. The parameters of the exchange model, however, may implicitly reveal specific characteristics or sensitive data of...

3D modelling from the collected point cloud data is becoming a powerful solution for terrain modelling. In particular, point cloud data carrying depth information and colour information can be used to build underwater terrain. There have been many reviews for terrain modelling with 3D point clouds. However, because of the operational limitations an...

Federal learning (FL) can realize a distributed training machine learning models in multiple devices while protecting their data privacy, but some defect still exists such as single point failure and lack of motivation. Blockchain as a distributed ledger can be utilized to provide a novel FL framework to address those issues. This paper aims to dis...

Background: Study pressure is one of the main factors leading to anxiety. Study pressure is a common psychological problem among students, but there is no auxiliary software to help it. Aims: To explore whether video games are better than vibroacoustic music in the field of psychotherapy for academic anxiety. Methods: Sixteen students from the U...