Shuyi He

Design of interface structure to enhance the operational temperature range of CuO/Cu-SSZ-13 for concurrent NOx selective catalytic reduction and CO oxidation

Zheguan Lin, Shuyi He, Tiesen Li, Qingyan Cui et autres

cn (code pays fourni par la source)

Integrated on-site inspection and repair wall-climbing robot of concrete cracks

Zhenqin Huang, Kang Gao, Shuyi He, Dandan Gu et autres

Concrete infrastructure maintenance for vertical structures remains constrained by the separation between crack inspection and manual repair, which is labor-intensive, hazardous, and inefficient. This paper presents an integrated on-site inspection and repair wall-climbing robot (IOIR) for concrete cracks, combining crack detection, quantification, …

cn (code pays fourni par la source)

Enhanced intrinsic water and sulfur dioxide tolerance of Cu-SSZ-13 for NH3-SCR via surface Al siting and micropore confinement

Shuyi He, Jinhao Zhao, Zheguan Lin, Tiesen Li et autres

Low-temperature nitrogen oxides (NO x ) abatement is critically hindered by catalyst deactivation in H 2 O- and SO 2 -containing atmospheres, severely limiting the practical application of NH 3 -selective catalytic reduction (NH 3 -SCR) technology. Existing strategies to improve the …

cn, ca (code pays fourni par la source)

A Novel Dual-Loop Control Scheme for 3P-3L Converter: Integrating Enhanced STA and Feedback Parallel Optimization FCS-MPC

Long Chen, Sheng Dou, Liansheng Huang, Xiaojiao Chen et autres

This paper proposes a novel dual-loop voltage-current control scheme for a three-phase three-level converter system. In the voltage-loop, a variable-exponential-gain mechanism is introduced, enabling the proposed controller to combine the benefits of proportional-integral (PI) control and super-twisting algorithm (STA). Moreover, time-varying control …

cn (code pays fourni par la source)

Plasma‐Engineered LaMO 3 Perovskites as Catalysts for the Oxygen Evolution Reaction: Unlocking Potential by Oxygen Vacancy Modification

Ji Wang, Lei Fu, Shuyi He, Xue Gao et autres

ABSTRACT The development of efficient and cost‐effective electrocatalysts for the oxygen evolution reaction (OER) is crucial for advancing green hydrogen production via water electrolysis. While perovskite oxides represent promising non‐noble metal catalysts, their OER performance is often limited by poor conductivity and …

in, cn (code pays fourni par la source)

Multi-Module Collaborative YOLO for Slender Object Detection: A Systematic failure mechanism analysis of failure of model improvements and Applicability Boundaries

Zishuo Qiu, Shuyi He, Xiaoyou Duan, Jia Feng et autres

Event-Driven Surveillance Video Moment Retrieval with Foreground Enhancement

Shuyi He, Qingchao Kong, Wenji Mao, Shaoqiang Tang

cn (code pays fourni par la source)

A Large-Model-Enhanced Method for Rail Surface Defect Detection in Heavy-Haul Railway

Yuan Cao, Shuyi He, Feng Wang, Shuai Su et autres

The rail surface defects directly impact the safety and efficiency of heavy-haul train operations. Timely assessment of these defects is crucial for informed maintenance decisions, with precise defect detection at its core. In recent years, the accumulation of extensive rail inspection images …

cn (code pays fourni par la source)

Multi-objective optimization of power fiber optic communication network routing based on POA algorithm

Mingsi Zhu, Changbao Wu, Shuyi He, G. J. Fu

In the power fiber optic communication network, the routing and switching process only involves simple weighting, which makes it difficult to balance multiple objectives, resulting in uneven load in the power fiber optic communication network. Some routes are excessively congested while others …

us, cn, in (code pays fourni par la source)

A multimodal embedding transfer approach for consistent and selective learning processes in cross-modal retrieval

Zhixiong Zeng, Shuyi He, Yuhao Zhang, Wenji Mao

cn (code pays fourni par la source)

Patchcore-SAM: Rail Defect Unsupervised Detection and Segmentation

Shuyi He, Yuan Cao, Feng Wang, Yongkui Sun et autres

The heavy-haul railways plays a crucial role in facilitating the transportation of large-scale goods, yet the challenging operational conditions significantly increase the occurrence of rail defects. Despite the growing importance of computer vision and artificial intelligence in detecting rail defects, current methods …

cn (code pays fourni par la source)

Leveraging Physical Rules for Weakly Supervised Cloud Detection in Remote Sensing Images

Yang Liu, Qingyong Li, Xiaobao Li, Shuyi He et autres

Cloud detection plays a significant role in remote sensing image applications. Existing deep learning-based cloud detection methods rely on massive precise pixel-wise annotations, which are time-consuming and expensive. To alleviate this problem, we propose a weakly supervised cloud detection framework that leverages …

cn (code pays fourni par la source)