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291 results on '"Zhou Longfei"'

1. Improved Yield Prediction of Ratoon Rice Using Unmanned Aerial Vehicle-Based Multi-Temporal Feature Method

Author

Zhou Longfei, Meng Ran, Yu Xing, Liao Yigui, Huang Zehua, Lü Zhengang, Xu Binyuan, Yang Guodong, Peng Shaobing, and Xu Le

Subjects
ratoon rice, yield prediction, unmanned aerial vehicle, multi-temporal feature, agronomic practice, stubble height, Plant culture, SB1-1110
Abstract

Pre-harvest yield prediction of ratoon rice is critical for guiding crop interventions in precision agriculture. However, the unique agronomic practice (i.e., varied stubble height treatment) in rice ratooning could lead to inconsistent rice phenology, which had a significant impact on yield prediction of ratoon rice. Multi-temporal unmanned aerial vehicle (UAV)-based remote sensing can likely monitor ratoon rice productivity and reflect maximum yield potential across growing seasons for improving the yield prediction compared with previous methods. Thus, in this study, we explored the performance of combination of agronomic practice information (API) and single-phase, multi-spectral features [vegetation indices (VIs) and texture (Tex) features] in predicting ratoon rice yield, and developed a new UAV-based method to retrieve yield formation process by using multi-temporal features which were effective in improving yield forecasting accuracy of ratoon rice. The results showed that the integrated use of VIs, Tex and API (VIs & Tex + API) improved the accuracy of yield prediction than single-phase UAV imagery-based feature, with the panicle initiation stage being the best period for yield prediction (R2 as 0.732, RMSE as 0.406, RRMSE as 0.101). More importantly, compared with previous multi-temporal UAV-based methods, our proposed multi- temporal method (multi-temporal model VIs & Tex: R2 as 0.795, RMSE as 0.298, RRMSE as 0.072) can increase R2 by 0.020–0.111 and decrease RMSE by 0.020–0.080 in crop yield forecasting. This study provides an effective method for accurate pre-harvest yield prediction of ratoon rice in precision agriculture, which is of great significance to take timely means for ensuring ratoon rice production and food security.

Published
2023
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2. Utilization of tailings in cement and concrete: A review

Author

Gou Mifeng, Zhou Longfei, and Then Nathalene Wei Ying

Subjects
tailings, cement, concrete, clinker, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

One of the advantages of cement and the cement concrete industry in sustainability is the ability to utilize large amounts of industrial solid wastes such as fly ash and ground granulated blast furnace slag. Tailings are solid wastes of the ore beneficiation process in the extractive industry and are available in huge amounts in some countries. This paper reviews the potential utilization of tailings as a replacement for fine aggregates, as supplementary cementitious materials (SCMs) in mortar or concrete, and in the production of cement clinker. It was shown in previous research that while tailings had been used as a replacement for both fine aggregate and cement, the workability of mortar or concrete reduced. Also, at a constant water to cement ratio, the compressive strength of concrete increased with the tailings as fine aggregate. However, the compressive strength of concrete decreased as the replacement content of the tailings as SCMs increased, even whentailings were ground into smaller particles. Not much research has been dedicated to the durability of concrete with tailings, but it is beneficial for heavy metals in tailings to stabilize/solidify in concrete. The clinker can be produced by using the tailings, even if the tailings have a low SiO2 content. As a result, the utilization of tailings in cement and concrete will be good for the environment both in the solid waste processing and virgin materials using in the construction industry.

Published
2019
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4. The Heuristic Design Innovation Approach for Data-Integrated Large Language Model

Author

Zhou, Longfei, Zhang, Lingyan, Chen, Xinda, Ding, Yuxin, Wang, Yun, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Degen, Helmut, editor, and Ntoa, Stavroula, editor

Published
2024
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10. Core Research Areas

Author

Fishwick, Paul, Diallo, Saikou Y., Durak, Umut, Hou, Baocun, Li, Bo Hu, Su, Chunhui, Wang, Yanguang, Zhang, Lin, Xie, Xu, Zhou, Longfei, Zeigler, Bernard P., Pawletta, Thorsten, Folkerts, Hendrik, Mittal, Saurabh, Tolk, Andreas, Series Editor, Crosbie, Roy E., Advisory Editor, Jakeman, Tony, Advisory Editor, Lehmann, Axel, Advisory Editor, Robinson, Stewart, Advisory Editor, Zeigler, Bernard P., Advisory Editor, and Ören, Tuncer, editor

Published
2023
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34. Research on Server Activity of Power Grid System Based on Deep Learning

Author

Zhang, Pengyu, Liu, Jiange, Zhou, Longfei, Li, Mao, Shao, Jianfei, Xie, Zhi, Liu, Shangdong, Zhou, Liang, Ji, Yimu, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Yang, Shuo, editor, and Lu, Huimin, editor

Published
2022
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35. Visible and Infrared Image Fusion by Invertible Neural Network

Author

Cui, Jianjie, Zhou, Longfei, Li, Fan, Zha, Yufei, Chinese Institute of Command and Control, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, and Zhang, Junjie James, Series Editor

Published
2022
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39. MIMO radar waveform design with practical constraints: A low-complexity approach

Author

Ren, Chenglin, liu, Fan, Zhou, Longfei, Zhou, Jianming, Luo, Wu, and Yang, Shengzhi

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

In this letter, we consider the multiple-input multiple-output (MIMO) radar waveform design in the presence of signal-dependent clutters and additive white Gaussian noise. By imposing the constant modulus constraint (CMC) and waveform similarity constraint (SC), the signal-to-interference-plus-noise (SINR) maximization problem is non-convex and NP-hard in general, which can be transformed into a sequence of convex quadratically constrained quadratic programming (QCQP) subproblems. Aiming at solving each subproblem efficiently, we propose a low-complexity method termed Accelerated Gradient Projection (AGP). In contrast to the conventional IPM based method, our proposed algorithm achieves the same performance in terms of the receive SINR and the beampattern, while notably reduces computational complexity.

Published
2018

44. Towards Dual-functional Radar-Communication Systems: Optimal Waveform Design

Author

Liu, Fan, Zhou, Longfei, Masouros, Christos, Li, Ang, Luo, Wu, and Petropulu, Athina

Subjects
Computer Science - Information Theory
Abstract

We focus on a dual-functional multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single transmitter communicates with downlink cellular users and detects radar targets simultaneously. Several design criteria are considered for minimizing the downlink multi-user interference. First, we consider both the omnidirectional and directional beampattern design problems, where the closed-form globally optimal solutions are obtained. Based on these waveforms, we further consider a weighted optimization to enable a flexible trade-off between radar and communications performance and introduce a low-complexity algorithm. The computational costs of the above three designs are shown to be similar to the conventional zero-forcing (ZF) precoding. Moreover, to address the more practical constant modulus waveform design problem, we propose a branch-and-bound algorithm that obtains a globally optimal solution and derive its worst-case complexity as a function of the maximum iteration number. Finally, we assess the effectiveness of the proposed waveform design approaches by numerical results., Comment: 13 pages, 10 figures. This work has been submitted to the IEEE for possible publication

Published
2017
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45. Additive Manufacturing: A Comprehensive Review

Author

Zhou, Longfei, primary, Miller, Jenna, additional, Vezza, Jeremiah, additional, Mayster, Maksim, additional, Raffay, Muhammad, additional, Justice, Quentin, additional, Al Tamimi, Zainab, additional, Hansotte, Gavyn, additional, Sunkara, Lavanya Devi, additional, and Bernat, Jessica, additional

Published
2024
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46. Service Composition and Scheduling in Cloud-Based Simulation

Author

Zhang, Lin, Li, Feng, Zhou, Longfei, Zeigler, Bernard, Birta, Louis G., Series Editor, Crosbie, Roy E., Advisory Editor, Jakeman, Tony, Advisory Editor, Lehmann, Axel, Advisory Editor, Robinson, Stewart, Advisory Editor, Tolk, Andreas, Advisory Editor, Zeigler, Bernard P., Advisory Editor, Risco Martín, José L., editor, Mittal, Saurabh, editor, and Ören, Tuncer, editor

Published
2020
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