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141 results on '"Wu, Menglong"'

18. Polar Channel Coding for the Ultraviolet Communication System Combating Path-Loss Propagation and NLOS Effects

Author

Hu, Wenxiu, Zhang, Min, Han, Dahai, Chen, Qingbo, Wu, Menglong, Ai, Lin, 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, Ruediger, 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, Liang, Qilian, 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, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Mu, Jiasong, editor, Jia, Min, editor, Wang, Wei, editor, Feng, Xuhong, editor, and Zhang, Baoju, editor

Published
2019
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19. Electrical Conductivity Method for Measuring Concentrations of Diammonium Hydrogen Phosphate and Potassium Chloride in Their Mixed Solution

Author

WU Menglong, NIU Wenquan, WEN Shenglin, HE Zili, and LI Xuekai

Subjects
mixed fertilizers, electrical conductivity, concentration measurement, grey correlation model, Agriculture (General), S1-972, Irrigation engineering. Reclamation of wasteland. Drainage, TC801-978
Abstract

【Background】Integrating fertilization and irrigation is a potential agricultural management technology and its success depends on accurately real-time monitoring the change in fertilizers concentration. The existing electric conductivity (EC) method is only able to detect concentration of single fertilizer, and developing simple and cheap device to accurately real-time monitor concentration of mixed fertilizers solution is hence needed. 【Objective】The purpose of this paper is to study the feasibility and accuracy of an electric conductivity method to real-time monitor the concentrations of diammonium hydrogen phosphate and potassium chloride at in their mixed solution. 【Method】We first measured the EC of the mixture of diammonium phosphate and potassium chloride at different concentrations ranging from 2 g/L to 10 g/L and different temperatures ranging from 20 ℃ to 45 ℃, and then analyzed the change in EC with temperature, concentration and ratios of the two fertilizers using the grey correlation analysis (GRA). 【Result】The EC of the mixed solution increased with its concentration and temperature and decreased as the ratio (n) of diammonium hydrogen phosphate to potassium chloride increased. It was also found that the factors affecting the EC of the mixed solution was ranked in the descending order of concentration > temperature > n. Based on goodness of the fitting, the evaluation index of the GRA was compared with the measured data after cubic spline interpolation and cubic B-spline interpolation, from which we obtained pairwise models for concentration-EC, temperature-EC and n-EC relationships, respectively. These enabled us to derive a model to predict the concentration of each fertilizer in their mixed solution based on EC, temperature, and the ratio n. 【Conclusion】Testing against measured data showed that the model accuracy was 97.53%, meeting the requirement in practical application. The method can thus be used for real-time monitoring concentration of mixed fertilizers solution in integrated irrigation and fertilization.

Published
2021
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32. Joint Analysis of Acoustic Scenes and Sound Events in Multitask Learning Based on Cross_MMoE Model and Class-Balanced Loss

Author

Zhang, Lin, Wu, Menglong, Cai, Xichang, Li, Yundong, and Liu, Wenkai

Abstract

Acoustic scene classification (ASC) and sound event detection (SED) are two research directions in the field of acoustics, and they are closely related. Previous works have adopted a joint analysis method for acoustic scenes and events based on multitask learning (MTL). However, the traditional MTL models are often sensitive to the proportion of dataset partitioning, and multitask analysis is not as effective as single-task analysis. In addition, the performance of traditional MTL models is highly dependent on the weights of the loss function, and manually adjusting weights is costly. In response to these issues, we suggest improvements in both the model and loss function formulation, to utilize additional sound event information to assist in improving the performance of ASC. First, the multigate mixture-of-experts (MMoEs) model is introduced into the field of acoustics. Experimental results obtained using TUT Sound Events 2016/2017 and TUT Acoustic Scenes 2016 datasets indicate that the mixture-of-experts model achieves an optimal performance of 98.74% in terms of $F1$ -score, which is 1.43% higher than traditional MTL models; second, we improve the mixture-of-experts model and propose the Cross_MMoE model, which increases the information interaction between different task branches, and the $F1$ -score is further improved to 99.04%; finally, to address the issue of imbalanced sample categories in the dataset, we evaluate the class balanced loss formulation to replace the traditional multitask loss function. The performance of the traditional multitask model, MMoE model, and Cross_MMoE model has been improved, and more specifically, the $F1$ -score of the Cross_MMoE model has increased to 99.31%.

Published
2024
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45. Aerated drip irrigation increased the emitter clogging risk of the Yellow River water drip irrigation.

Author

Lv, Chang, Zhang, Erxin, Gan, Haicheng, Niu, Wenquan, Ali, Sajjad, Dong, Aihong, Zhang, Wenqian, Wu, Menglong, and Sun, Dan

Subjects
MICROIRRIGATION, IRRIGATION water, SEDIMENTATION & deposition, CHANNEL flow, IRRIGATION, SEDIMENTS
Abstract

Copyright of Irrigation & Drainage is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023
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