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Your search keyword '"Li, Jianming"' showing total 2,435 results
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2,435 results on '"Li, Jianming"'

1. External quantum efficiency above 100% in photovoltaic cells due to the technique raising efficiencies for all kinds of solar cells

Author

Li, Jianming

Subjects
Physics - Applied Physics
Abstract

A V-shaped module (VSM) photovoltaic technique, which breaks traditional concepts, has been proven by European and American scientists to enable power-conversion-efficiency to increase by 50% for thin-film solar cells. Furthermore, the VSM technique raises power-conversion-efficiency for all kinds of solar cells (J. Environ. Sci. Eng. A 12, 214 (2023). https://doi.org/10.17265/2162-5298/2023.06.002). Mysterious dark energy is thought to result in the surprising VSM effect. The VSM approach opens up new avenues to study photovoltaic physics. In this study, the external quantum efficiency (EQE) of commercial polycrystalline silicon solar cells in the VSM was investigated, which exhibits a surprising phenomenon of EQE above 100%. In theory, non-infrared light incident into a solar cell can cause infrared emission. The VSM could trap the emitted infrared photons and lead to extra photoexcited carriers. The easy-to-reproduce VSM effect is thus explainable. The energy of emitted infrared photons is considered as the so-called dark energy. This study provides new clues and evidences to unravel the mystery of the surprising VSM effect. The VSM technique could also be used to develop photodetectors for infrared and ultraviolet light respectively., Comment: 7 pages, 4 figures

Published
2024

8. AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion

Author

Chen, Yu, Yu, Zihao, Song, Shu, Yu, Tianning, Li, Jianming, and Lee, Gim Hee

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Despite the impressive results achieved by many existing Structure from Motion (SfM) approaches, there is still a need to improve the robustness, accuracy, and efficiency on large-scale scenes with many outlier matches and sparse view graphs. In this paper, we propose AdaSfM: a coarse-to-fine adaptive SfM approach that is scalable to large-scale and challenging datasets. Our approach first does a coarse global SfM which improves the reliability of the view graph by leveraging measurements from low-cost sensors such as Inertial Measurement Units (IMUs) and wheel encoders. Subsequently, the view graph is divided into sub-scenes that are refined in parallel by a fine local incremental SfM regularised by the result from the coarse global SfM to improve the camera registration accuracy and alleviate scene drifts. Finally, our approach uses a threshold-adaptive strategy to align all local reconstructions to the coordinate frame of global SfM. Extensive experiments on large-scale benchmark datasets show that our approach achieves state-of-the-art accuracy and efficiency., Comment: accepted by ICRA 2023

Published
2023

9. A Robust Operational Modal Analysis Method and Its Application to a Concrete Arch-Gravity Dam

Author

Li, Jianming, Cao, Maosen, Bao, Tengfei, Li, Tianyu, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Rainieri, Carlo, editor, Gentile, Carmelo, editor, and Aenlle López, Manuel, editor

Published
2024
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10. Numerical Simulation of Breathing Effect Induced by Drilling in Deep-Water Shallow Formations

Author

Huang, Honglin, Li, Jun, Li, Wentuo, Zhang, Geng, Yang, Hongwei, Li, Jianming, An, Jintao, Liu, Shujie, Luo, Ming, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, and Li, Shaofan, editor

Published
2024
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