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您的检索式：作者名="Yaxiao Niu"
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| 1 | Pipe-assembly approach for ships using modified NSGA-Ⅱ algorithm显示文摘Pipe-routing for ship is formulated as searching for the near-optimal pipe paths while meeting certain objectives in an environment scattered with obstacles. Due to the complex construction in layout space, the great number of pipelines, numerous and diverse design constraints and large amount of obstacles, finding the optimum route of ship pipes is a complicated and time-consuming process. A modified NSGA-Ⅱ algorithm based approach is proposed to find the near-optimal solution to solve the problem. By simplified equipment models, the layout space is firstly divided into three dimensional(3D) grids to build its mathematical model. In the modified NSGA-Ⅱ algorithm, the concept of auxiliary point is introduced to improve the search range of maze algorithm(MA) as well as to guarantee the diversity of chromosomes in initial population. Then the fix-length coding mechanism is proposed, Fuzzy set theory is also adopted to select the optimal solution in Pareto solutions. Finally, the effectiveness and efficiency of the proposed approach is demonstrated by the contrast test and simulation. The merit of the proposed algorithm lies in that it can provide more appropriate solutions for the designers while subject certain constrains. | Sui Haiteng Niu Wentie Niu Yaxiao Zhou Chongkai Gao Weigao | 2016 | Computer Aided Drafting,Design and Manufacturing2016，26，2： | 2 |
| 2 | Estimation of transpiration coefficient and aboveground biomass in maize using time-series UAV multispectral imagery显示文摘Estimating spatial variation in crop transpiration coefficients(CTc) and aboveground biomass(AGB)rapidly and accurately by remote sensing can facilitate precision irrigation management in semiarid regions. This study developed and assessed a novel machine learning(ML) method for estimating CTc and AGB using time-series unmanned aerial vehicle(UAV)-based multispectral vegetation indices(VIs)of maize under several irrigation treatments at the field scale. Four ML regression methods: multiple linear regression(MLR), support vector regression(SVR), random forest regression(RFR), and adaptive boosting regression(ABR), were used to address the complex relationship between CTcand VIs. AGB was then estimated using exponential, logistic, sigmoid, and linear equations because of their clear mathematical formulations based on the optimal CTcestimation model. The UAV VIs-derived CTcusing the RFR estimation model yielded the highest accuracy(R^(2)= 0.91, RMSE = 0.0526, and n RMSE = 9.07%). The normalized difference red-edge index, transformed chlorophyll absorption in reflectance index, and simple ratio contributed significantly to the RFR-based CTcmodel. The accuracy of AGB estimation using nonlinear methods was higher than that using the linear method. The exponential method yielded the highest accuracy(R^(2)= 0.76, RMSE = 282.8 g m, and n RMSE = 39.24%) in both the 2018 and 2019 growing seasons. The study confirms that AGB estimation models based on cumulative CTcperformed well under several irrigation treatments using high-resolution time-series UAV multispectral VIs and can support irrigation management with high spatial precision at a field scale. | Guomin Shao Wenting Han Huihui Zhang Yi Wang Liyuan Zhang Yaxiao Niu Yu Zhang Pei Cao | 2022 | The Crop Journal2022，10，5： | 2 |
| 3 | Advances in the Application of Perovskite Materials显示文摘Nowadays, the soar of photovoltaic performance of perovskite solar cells has set off a fever in the study of metal halide perovskite materials. The excellent optoelectronic properties and defect tolerance feature allow metal halide perovskite to be employed in a wide variety of applications. This article provides a holistic review over the current progress and future prospects of metal halide perovskite materials in representative promising applications, including traditional optoelectronic devices(solar cells, light-emitting diodes, photodetectors, lasers), and cutting-edge technologies in terms of neuromorphic devices(artificial synapses and memristors) and pressure-induced emission. This review highlights the fundamentals, the current progress and the remaining challenges for each application, aiming to provide a comprehensive overview of the development status and a navigation of future research for metal halide perovskite materials and devices. | Lixiu Zhang Luyao Mei Kaiyang Wang Yinhua Lv Shuai Zhang Yaxiao Lian Xiaoke Liu Zhiwei Ma Guanjun Xiao Qiang Liu Shuaibo Zhai Shengli Zhang Gengling Liu Ligang Yuan Bingbing Guo Ziming Chen Keyu Wei Aqiang Liu Shizhong Yue Guangda Niu Xiyan Pan Jie Sun Yong Hua Wu‑Qiang Wu Dawei Di Baodan Zhao Jianjun Tian Zhijie Wang Yang Yang Liang Chu Mingjian Yuan Haibo Zeng Hin‑Lap Yip Keyou Yan Wentao Xu Lu Zhu Wenhua Zhang Guichuan Xing Feng Gao Liming Ding | 2023 | Nano-Micro Letters2023，15，10： | 0 |
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