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403 results on '"Wu, Shiqiang"'

6. Do the Short-Term Water Diversion from Yangtze River Increase Phosphorus Bioavailability in the Water-Receiving Area?

Author

Tian, Fuwei, Dai, Jiangyu, Xu, Jiayi, Wu, Xiufeng, Wu, Shiqiang, Zhang, Yu, Wang, Fangfang, Gao, Ang, 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, Li, Yun, editor, Hu, Yaan, editor, Rigo, Philippe, editor, Lefler, Francisco Esteban, editor, and Zhao, Gensheng, editor

Published
2023
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7. Adaptive Regulation of Cascade Reservoirs System Under Non-stationary Runoff

Author

Zhang, Yu, Wang, Xiaodong, Min, Zhixiang, Wu, Shiqiang, Wu, Xiufeng, Dai, Jiangyu, Wang, Fangfang, Gao, Ang, 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, Li, Yun, editor, Hu, Yaan, editor, Rigo, Philippe, editor, Lefler, Francisco Esteban, editor, and Zhao, Gensheng, editor

Published
2023
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8. Study on Wind Waves Similarity and Wind Waves Spectrum Characteristics in Limited Waters

Author

Gao, Ang, Wu, Xiufeng, Wu, Shiqiang, Li, Hongpeng, Dai, Jiangyu, Wang, Fangfang, 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, Li, Yun, editor, Hu, Yaan, editor, Rigo, Philippe, editor, Lefler, Francisco Esteban, editor, and Zhao, Gensheng, editor

Published
2023
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9. Status of Research and Application Cases in Intelligent Shipping

Author

Xu, Jiayi, Li, Zixiang, Sha, Haifei, Wu, Shiqiang, 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, Li, Yun, editor, Hu, Yaan, editor, Rigo, Philippe, editor, Lefler, Francisco Esteban, editor, and Zhao, Gensheng, editor

Published
2023
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32. An Audio Watermarking Algorithm Based on Adversarial Perturbation †.

Author

Wu, Shiqiang, Liu, Jie, Huang, Ying, Guan, Hu, and Zhang, Shuwu

Subjects
DIGITAL watermarking, ALGORITHMS, DEEP learning
Abstract

Recently, deep learning has been gradually applied to digital watermarking, which avoids the trouble of hand-designing robust transforms in traditional algorithms. However, most of the existing deep watermarking algorithms use encoder–decoder architecture, which is redundant. This paper proposes a novel audio watermarking algorithm based on adversarial perturbation, AAW. It adds tiny, imperceptible perturbations to the host audio and extracts the watermark with a pre-trained decoder. Moreover, the AAW algorithm also uses an attack simulation layer and a whitening layer to improve performance. The AAW algorithm contains only a differentiable decoder, so it reduces the redundancy. The experimental results also demonstrate that the proposed algorithm is effective and performs better than existing audio watermarking algorithms. [ABSTRACT FROM AUTHOR]

Published
2024
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42. Investigation of the photocatalytic activity of magnetically recoverable g-C3N4/CoFe2O4/Bi2MoO6 particles for purifying tetracycline antibiotics: synthesis, characterization, ecotoxicity analysis, and plant toxicity test

Author

Tang, Zhiwei, primary, Hu, Changchao, additional, Zhang, Rui, additional, Yu, Junrong, additional, Cai, Lu, additional, Yang, Ze, additional, Wang, Xingwang, additional, Wu, Shiqiang, additional, and Liu, Desheng, additional

Published
2024
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47. Comprehensive Comparison of Lacustrine Fine-Grained Sedimentary Rock Reservoirs, Organic Matter, and Palaeoenvironment: A Case Study of the Jurassic Ziliujing Formation and Xintiangou Formation in the Sichuan Basin.

Author

Li, Delu, Wu, Shiqiang, He, Qianyang, Li, Wangpeng, Meng, Peilong, Li, Haibin, Sun, Qiang, and Zhao, Xiaochen

Subjects
*INDUCTIVELY coupled plasma mass spectrometry, *ORGANIC compounds, *SEDIMENTARY rocks, *RESERVOIR rocks, *CHLOROHYDROCARBONS, *CARBONATE minerals, *GAS chromatography/Mass spectrometry (GC-MS), *PYRITES, *DOLOMITE
Abstract

Lacustrine sedimentary formations potentially contain hydrocarbons. The lacustrine sedimentary rocks of the Ziliujung and Xintiangou Formations have been investigated for their hydrocarbon potential using low-pressure nitrogen adsorption (LP-N2A), low-field nuclear magnetic resonance (NMR), scanning electron microscopy (SEM), total organic carbon (TOC), rock-eval pyrolysis (Rock-Eval), gas chromatography (GC), gas chromatography–mass spectrometry (GC–MS), X-ray fluorescence spectrometry (XRF), and inductively coupled plasma mass spectrometry (ICP-MS). The results show that the normalized difference of the pore parameters between the two formations is less than 10%, and the pores are mainly slit-like mesopores with high porosity. Macropores and micropores are often developed in the quartz skeleton, while mesopores often occur among organic matter, clay minerals, carbonate minerals, and pyrite particles. The organic matter abundance of the Ziliujing Formation is relatively high. Additionally, the organic matter types of the two formations are mainly type II and type III, and the sources of the organic matter are plankton and bacteria which have reached the mature gas production stage. The palaeoenvironmental differences between the depositional periods of the two formations lie within 10% of each other. The warm and humid climate promotes the development of quartz minerals to further enhance the proportion of both micropores and macropores, and the clay minerals, carbonate minerals, and pyrite carried in the terrigenous detritus are closely associated with the total organic carbon (TOC), which promotes the development of mesopores to enhance the porosity. The reservoir, organic matter, and palaeoenvironmental characteristics of fine-grained sedimentary rocks in the two formations are similar, and both of them have good potential for development. The above results provide a basic geological theoretical basis for unconventional oil and gas exploration in the northeastern margin of the Sichuan Basin. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Long term variations of river temperature and the influence of air temperature and river discharge: case study of Kupa River watershed in Croatia

Author

Zhu Senlin, Bonacci Ognjen, Oskoruš Dijana, Hadzima-Nyarko Marijana, and Wu Shiqiang

Subjects
climate change, machine learning models, river water temperature, Hydraulic engineering, TC1-978
Abstract

The bio-chemical and physical characteristics of a river are directly affected by water temperature, which therefore affects the overall health of aquatic ecosystems. In this study, long term variations of river water temperatures (RWT) in Kupa River watershed, Croatia were investigated. It is shown that the RWT in the studied river stations increased about 0.0232–0.0796ºC per year, which are comparable with long term observations reported for rivers in other regions, indicating an apparent warming trend. RWT rises during the past 20 years have not been constant for different periods of the year, and the contrasts between stations regarding RWT increases vary seasonally. Additionally, multilayer perceptron neural network models (MLPNN) and adaptive neuro-fuzzy inference systems (ANFIS) models were implemented to simulate daily RWT, using air temperature (Ta), flow discharge (Q) and the day of year (DOY) as predictors. Results showed that compared to the individual variable alone with Ta as input, combining Ta and Q in the MLPNN and ANFIS models explained temporal variations of daily RWT more accurately. The best accuracy was achieved when the three inputs (Ta, Q and the DOY) were included as predictors. Modeling results indicate that the developed models can well reproduce the seasonal dynamics of RWT in each river, and the models may be used for future projections of RWT by coupling with regional climate models.

Published
2019
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