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730 results on '"Wang, Longlong"'

1. Enhancing Crustal Velocity Structure in Sedimentary Basin by joint inversion of Teleseismic P-Wave Reverberations and Surface Wave Dispersion

Author

Wang, Longlong

Subjects
Physics - Geophysics
Abstract

Accurately determining the crustal velocity structure within sedimentary basins is crucial for enhancing energy resource evaluation and seismic hazard assessment. Traditional crustal imaging is challenging due to the interference of teleseismic P-wave reverberations (TPR). To address this issue, we propose an inversion strategy that combines multi-frequency TPR and surface wave dispersion (SWD) to constrain the crustal structure. Both theoretical simulations and real data tests from two stations in the Songliao Basin validate our approach. This method shows great promise for improving crustal structure investigations in complex environments, such as sedimentary basins and oceanic regions., Comment: 37,10figures

Published
2024

3. UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering

Author

Pan, Mingjie, Liu, Li, Liu, Jiaming, Huang, Peixiang, Wang, Longlong, Zhang, Shanghang, Xu, Shaoqing, Lai, Zhiyi, and Yang, Kuiyuan

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

In this technical report, we present our solution, named UniOCC, for the Vision-Centric 3D occupancy prediction track in the nuScenes Open Dataset Challenge at CVPR 2023. Existing methods for occupancy prediction primarily focus on optimizing projected features on 3D volume space using 3D occupancy labels. However, the generation process of these labels is complex and expensive (relying on 3D semantic annotations), and limited by voxel resolution, they cannot provide fine-grained spatial semantics. To address this limitation, we propose a novel Unifying Occupancy (UniOcc) prediction method, explicitly imposing spatial geometry constraint and complementing fine-grained semantic supervision through volume ray rendering. Our method significantly enhances model performance and demonstrates promising potential in reducing human annotation costs. Given the laborious nature of annotating 3D occupancy, we further introduce a Depth-aware Teacher Student (DTS) framework to enhance prediction accuracy using unlabeled data. Our solution achieves 51.27\% mIoU on the official leaderboard with single model, placing 3rd in this challenge.

Published
2023

5. High-energy all-solid-state lithium batteries enabled by Co-free LiNiO2 cathodes with robust outside-in structures

Author

Wang, Longlong, Mukherjee, Ayan, Kuo, Chang-Yang, Chakrabarty, Sankalpita, Yemini, Reut, Dameron, Arrelaine A., DuMont, Jaime W., Akella, Sri Harsha, Saha, Arka, Taragin, Sarah, Aviv, Hagit, Naveh, Doron, Sharon, Daniel, Chan, Ting-Shan, Lin, Hong-Ji, Lee, Jyh-Fu, Chen, Chien-Te, Liu, Boyang, Gao, Xiangwen, Basu, Suddhasatwa, Hu, Zhiwei, Aurbach, Doron, Bruce, Peter G., and Noked, Malachi

Published
2024
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8. Multi-task unscented Kalman inversion (MUKI): a derivative-free joint inversion framework and its application to joint inversion of geophysical data

Author

Wang, Longlong, Chen, Yun, Liu, Youshan, Du, Nanqiao, Li, Wei, and Suwen, Junliu

Subjects
Physics - Geophysics
Abstract

In the geophysical joint inversion, the gradient and Bayesian Markov Chain Monte Carlo (MCMC) sampling-based methods are widely used owing to their fast convergences or global optimality. However, these methods either require the computation of gradients and easily fall into local optimal solutions, or cost much time to carry out the millions of forward calculations in a huge sampling space. Different from these two methods, taking advantage of the recently developed unscented Kalman method in computational mathematics, we extend an iterative gradient-free Bayesian joint inversion framework, i.e., Multi-task unscented Kalman inversion (MUKI). In this new framework, information from various observations is incorporated, the model is iteratively updated in a derivative-free way, and a Gaussian approximation to the posterior distribution of the model parameters is obtained. We apply the MUKI to the joint inversion of receiver functions and surface wave dispersion, which is well-established and widely used to construct the crustal and upper mantle structure of the earth. Based on synthesized and real data, the tests demonstrate that MUKI can recover the model more efficiently than the gradient-based method and the Markov Chain Monte Carlo method, and it would be a promising approach to resolve the geophysical joint inversion problems., Comment: 13 pages, 4 figures

Published
2022

13. Crown rupture during droplet impact on a dry smooth surface at increased pressure

Author

Xu, Zhigang, Wang, Longlong, Wang, Tianyou, and Che, Zhizhao

Subjects
Physics - Fluid Dynamics
Abstract

The impact of droplets at increased environmental pressure is important in many industrial applications. Previous studies mainly considered the impact process at standard or reduced environmental pressure, and the effect of high environmental pressure is unclear. In this study, we experimentally investigate the impact of ethanol droplets on dry smooth surfaces at increased environmental pressure. The effects of the environmental pressure on the splashing and rupture of the crown during the impact process are analyzed. The results show that surrounding gas with high environmental pressure can lead to the splashing of the crown in a 'thread rupture' mode and the sizes of the secondary droplets from the rim of the liquid crown increase with the environmental pressure. The threshold for the transition from spreading to splashing during the impact process is obtained based on the theory of aerodynamics analysis of the lamella. At increased environmental pressure, the threshold speed of the impact decreases with increasing the environmental pressure because the wedge of the lamella is prevented from moving forward and is driven to detach from the substrate by the air ahead, which has a higher density due to the higher environmental pressure., Comment: 10 pages, 9 figures

Published
2021
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31. The Way and Amount of Straw Mulching Impact Water Consumption and Yield of Potato

Author

MA Juhua, HUANG Caixia, LI Yazhen, YANG Yong, CHEN Zhipi, LI Hongcai, LI Yongjun, HU Liangliang, WANG Longlong, and ZHANG Qian

Subjects
local straw mulching, culture, high ridge, water consumption characteristics, potato, Agriculture (General), S1-972, Irrigation engineering. Reclamation of wasteland. Drainage, TC801-978
Abstract

【Objective】 Straw mulching and ridge tillage is an improved agronomic technology to sustain crop production in the loess plateau in northwestern China. How their combination impacts water uptake and crop yield is not well understood. This paper is to fill this knowledge gap. 【Method】 The experiment was conducted in a potato field and compared ridge tillage and traditional flatten tillage. For the ridge tillage, there were three mulching treatments: film mulching (PM), locally high straw mulching (RSM9), and locally low straw mulching (RSM6). For the traditional flatten tillage, there were also three treatments: locally high straw mulching (PSM9), locally low straw mulching (PSM6), and full straw mulching (FC). The control is flatten tillage without mulching. 【Result】 ①Compared with CK, mulching increased the yield and WUE of the potato by 11.8%~21.7% and 15.9%~26.7%, respectively. Compared with PSM treatments, RSM treatments increased the yield and WUE of the potato by 1.5% and 1.7%, respectively. Compared with the locally high straw mulching (9 000 kg/hm2), the locally low straw mulching (6 000 kg/hm2) increased the yield and WUE by 6.1% and 6.5%, respectively. ② Compared with CK, local straw mulching increased soil moisture in some regions and reduced it in other regions, but overall, it increased soil water content. The increased soil water storage under different treatments was ranked in the order of RSM6 >PSM6 >RSM9 >PSM9 treatment. ③ Compared with CK, partial straw mulching increased total water consumption, daily water consumption, and water consumption coefficient for potato tuber formation and starch accumulation by 4.6 mm, 0.11 mm/d and 2.7%, respectively. Water consumption during tuber expansion and harvest was greater in RSM than in PSM, while the opposite was true during soil-tuber expansion. 【Conclusion】 Straw mulching can reduce water consumption before tuber expansion, increase water consumption after tuber expansion, balance water consumption and demand during key growth stages, and promote potato growth and development. For all treatments we compared, ridge tillage coupled with partial straw mulching at 6 000 kg/hm2 was most effective.

Published
2023
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34. Raman LIDARs for the atmospheric calibration along the line-of-sight of CTA

Author

Ballester, Otger, Blanch, Oscar, Boix, Joan, Bregeon, Johan, Brun, Patrick, Colak, Merve, Doro, Michele, Da Deppo, Vania, Font, Lluis, Gabella, Omar, Garcia, Rafael, Gaug, Markus, Maggio, Camilla, Martinez, Manel, Martinez, Oscar, Adrover, Pere Munar, Ramos, Raul, Rivoire, Stephane, Stanic, Samo, Villar, David, Vasileiadis, George, Wang, Longlong, and Zavrtanik, Marko

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The Cherenkov Telescope Array (CTA) is the next generation ground based observatory for gamma ray astronomy at very high energies. Employing more than 100 Imaging Atmospheric Cherenkov Telescopes in the northern and southern hemispheres, it was designed to reach unprecedented sensitivity and energy resolution. Understanding and correcting for systematic biases on the absolute energy scale and instrument response functions will be a crucial issue for the performance of CTA. The LUPM group and the Spanish/Italian/Slovenian collaboration are currently building two Raman LIDAR prototypes for the online atmospheric calibration along the line of sight of the CTA. Requirements for such a solution include the ability to characterize aerosol extinction at two wavelengths to distances of 30 km with an accuracy better than 5%, within time scales of about a minute, steering capabilities and close interaction with the CTA array control and data acquisition system as well as other auxiliary instruments. Our Raman LIDARs have design features that make them different from those used in atmospheric science and are characterized by large collecting mirrors (2.5 m2), liquid light guides that collect the light at the focal plane and transport it to the readout system, reduced acquisition time and highly precise Raman spectrometers. The Raman LIDARs will participate in a cross calibration and characterization campaign of the atmosphere at the CTA North site at La Palma, together with other site characterization instruments. After a one year test period there, an in depth evaluation of the solutions adopted by the two projects will lead to a final Raman LIDAR design proposal for both CTA sites.

Published
2019

48. Characterization of somatic structural variations in 528 Chinese individuals with Esophageal squamous cell carcinoma

Author

Cui, Heyang, Zhou, Yong, Wang, Fang, Cheng, Caixia, Zhang, Weimin, Sun, Ruifang, Zhang, Ling, Bi, Yanghui, Guo, Min, Zhou, Yan, Wang, Xinhui, Ren, Jiaxin, Bai, Ruibing, Ding, Ning, Cheng, Chen, Wang, Longlong, Zhuang, Xuehan, Gao, Mingwei, Weng, Yongjia, Wu, Yueguang, Liu, Huijuan, Li, Shuaicheng, Wang, Shubin, Cheng, Xiaolong, Cui, Yongping, Liu, Zhihua, and Zhan, Qimin

Published
2022
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50. Landscapes and dynamic diversifications of B-cell receptor repertoires in COVID-19 patients

Author

Xiang, Haitao, Zhao, Yingze, Li, Xinyang, Liu, Peipei, Wang, Longlong, Wang, Meiniang, Tian, Lei, Sun, Hai-Xi, Zhang, Wei, Xu, Ziqian, Ye, Beiwei, Yuan, Xiaoju, Wang, Pengyan, Zhang, Ning, Gong, Yuhuan, Bian, Chengrong, Wang, Zhaohai, Yu, Linxiang, Yan, Jin, Meng, Fanping, Bai, Changqing, Wang, Xiaoshan, Liu, Xiaopan, Gao, Kai, Wu, Liang, Liu, Longqi, Gu, Ying, Bi, Yuhai, Shi, Yi, Zhang, Shaogeng, Zhu, Chen, Xu, Xun, Wu, Guizhen, Gao, George F., Yang, Naibo, Liu, William J., and Yang, Penghui

Published
2022
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