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学者姓名：姚立纲
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Abstract ：
Automated of gas and liquid classification technologies are of great in multiple fields including food production and human healthcare. Of these, fruit juice contains water, organic acids, minerals and other nutrients which offers a pleasant taste and promotes healthy condition. However, the main challenges faced by conventional components sensing technologies for juice classification are limited to the complexity of experimental preparation, bulky instrument, high consumption and susceptibility to contamination. Moisture Electricity Generation (MEG) technology has made it feasible to acquire energy from trace amounts of water or environmental humidity. This work proposes a novel sensing unit based on MEG technology. The unit mainly comprises non-woven fabric, hydroxylated carbon nanotubes, polyvinyl alcohol, a solution of sea salt and liquid alloy. By this approach, humid air (relative humidity 60%), pure water and juices from three fruits (lemon, kiwifruit, and clementine) have been successfully classified in 15 seconds. The classification accuracy can reach 90%. Electrical signals standard lines highlight the specific response between samples. The relative standard deviation of stable output section is 1.6% and the root-mean-square error between test data and the standard curve is less than 0.08, which indicates the stability, accuracy are fine. Besides, the sensing unit demonstrates an acceptable reusability. The presented approach may provide opportunities to improve sensing paradigms in industrial and medical settings. © 2024 IEEE.
Keyword ：
Environmental technology Environmental technology Fruit juices Fruit juices Fruits Fruits Mean square error Mean square error Moisture Moisture Power generation Power generation Reusability Reusability Weaving Weaving
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| GB/T 7714 | Lin, Jiawen , Dong, Hui , Yang, Jintian et al. A Novel Fluid Classification Unit Based on Moisture Electricity Generation Mechanism [C] . 2024 : 76-80 . |
| MLA | Lin, Jiawen et al. "A Novel Fluid Classification Unit Based on Moisture Electricity Generation Mechanism" . (2024) : 76-80 . |
| APA | Lin, Jiawen , Dong, Hui , Yang, Jintian , Jia, Haichao , Li, Minglin , Yao, Ligang et al. A Novel Fluid Classification Unit Based on Moisture Electricity Generation Mechanism . (2024) : 76-80 . |
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柔性作业车间调度问题不仅要安排工序的加工顺序，还要选择当前工序所使用的机器，是一类灵活性和复杂性较高的NP(non-deterministic polynomial)-hard问题。以最小化最大完工时间、最小化总机器负荷、最小化最大机器负荷为目标，建立多目标优化模型，将非占优排序融入交叉熵算法，提出求解多目标柔性作业车间调度问题的交叉熵方法(cross-entropy method for multi-objective optimization,CEMO)，以“随机分布筛”处理工序排列约束函数，确保采样点的可行性并提高收敛速率。对CEMO的机理分析表明，该方法可以利用非占优排序所得精英样本的引导作用，使收敛速度比应用交叉熵方法求解单目标问题更快。同时，针对最大完工时间优化时易出现的早熟现象，提出基于总机器负荷和最大机器负荷的机器分配预训练技术及采样矩阵提前停止更新技术，促进精英样本的进化。最后，通过数值实验验证了CEMO的机理，结果表明该方法可行，且具有收敛快、解的分布更广更均匀的优点。
Keyword ：
交叉熵算法 交叉熵算法 多目标优化 多目标优化 柔性作业车间调度 柔性作业车间调度 非占优排序 非占优排序
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| GB/T 7714 | 杨艳华 , 潘鑫 , 张丽丽 et al. 基于交叉熵算法求解多目标柔性作业车间调度问题 [J]. | 武汉大学学报(工学版) , 2024 , 57 (04) : 497-508 . |
| MLA | 杨艳华 et al. "基于交叉熵算法求解多目标柔性作业车间调度问题" . | 武汉大学学报(工学版) 57 . 04 (2024) : 497-508 . |
| APA | 杨艳华 , 潘鑫 , 张丽丽 , 姚立纲 . 基于交叉熵算法求解多目标柔性作业车间调度问题 . | 武汉大学学报(工学版) , 2024 , 57 (04) , 497-508 . |
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啮合温度影响双圆弧弧齿锥齿轮章动传动过程中的疲劳、振动、噪声等行为，在双圆弧弧齿锥齿轮的寿命预测和力学响应时不可忽视。为了揭示双圆弧弧齿锥齿轮章动传动本体温度场分布规律，对双圆弧弧齿锥齿轮进行齿面接触分析，得到啮合区间；结合摩擦学和传热学得到齿轮的热载荷，建立了双圆弧弧齿锥齿轮温度有限元数值模型；采用控制变量法，分析了相关影响因素对锥齿轮温度的影响规律及原因。结果表明，齿轮温度随模数的增大而降低，随螺旋角的增大而升高，随章动角的增大先降低再升高；润滑油温度对本体温度的影响呈线性关系。研究为降低齿轮高温失效风险提供了参考。
Keyword ：
双圆弧弧齿锥齿轮 双圆弧弧齿锥齿轮 影响因素 影响因素 本体温度 本体温度 章动传动 章动传动
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| GB/T 7714 | 陈颖 , 姚立纲 , 王兴盛 et al. 双圆弧弧齿锥齿轮章动传动啮合齿轮本体温度的相关影响因素分析 [J]. | 机械传动 , 2024 , 48 (02) : 10-16 . |
| MLA | 陈颖 et al. "双圆弧弧齿锥齿轮章动传动啮合齿轮本体温度的相关影响因素分析" . | 机械传动 48 . 02 (2024) : 10-16 . |
| APA | 陈颖 , 姚立纲 , 王兴盛 , 张大卫 , 王雪滢 . 双圆弧弧齿锥齿轮章动传动啮合齿轮本体温度的相关影响因素分析 . | 机械传动 , 2024 , 48 (02) , 10-16 . |
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Accurate detection of weeds is a key technology for developing automated weeding equipment. To address the problems of high detection complexity and poor robustness resulting from the complex distribution and variety of weeds, we proposed a weed detection approach for vegetable seedling based on the improved YOLOv5 algorithm and image processing, implemented on a self-developed mobile robot platform. The weed detection complexity was reduced by indirectly detecting weeds through identifying vegetables, thus improving the detection accuracy and robustness. The convolutional block attention module (CBAM) attention module was added to the backbone feature extraction network of the YOLOv5 object detection algorithm to enhance the focus of the network on vegetable targets, and the Transformer module was added to enhance the global information capture capability. The results showed that the average detection accuracy of the improved YOLOv5 algorithm for vegetable targets could reach 95.7%, which was increased by 5.8%, 6.9%, 10.3%, 13.1%, 9.0%, 5.2%, and 3.2% compared with Faster R-CNN, SSD, EfficientDet, RetinaNet, YOLOv3, YOLOv4, and YOLOv5, respectively. The average detection time of the algorithm for a single run was 11 ms, indicating good real-time performance. The method defined green plants outside the vegetable border as weeds, and combined the extreme green (ExG) with the OTSU threshold segmentation method to segment weeds from the soil background. Finally, the weed connectivity domain was marked, followed by outputting the weed plasmids and detection frames. The proposed method could provide a technical reference for automated precision weeding in agriculture. © 2023, Editorial of Board of Journal of Graphics. All rights reserved.
Keyword ：
attention mechanism attention mechanism vegetable identification vegetable identification weed detection weed detection weeding robot weeding robot YOLOv5 YOLOv5
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| GB/T 7714 | Zhang, W.-K. , Sun, H. , Chen, X.-K. et al. Research on weed detection in vegetable seedling fields based on the improved YOLOv5 intelligent weeding robot [J]. | Journal of Graphics , 2023 , 44 (2) : 346-356 . |
| MLA | Zhang, W.-K. et al. "Research on weed detection in vegetable seedling fields based on the improved YOLOv5 intelligent weeding robot" . | Journal of Graphics 44 . 2 (2023) : 346-356 . |
| APA | Zhang, W.-K. , Sun, H. , Chen, X.-K. , Li, X.-B. , Yao, L.-G. , Dong, H. . Research on weed detection in vegetable seedling fields based on the improved YOLOv5 intelligent weeding robot . | Journal of Graphics , 2023 , 44 (2) , 346-356 . |
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本发明涉及一种章动磁齿轮磁场的测量装置，包括依次连接的调节架、环型轨道、环形量角器，环型轨道与环形量角器均固定按在工作台面上；所述环型轨道与环形量角器同轴设置，环形量角器安装在环型轨道下端面，环型轨道上端设置有环形滑槽，环形滑槽内设置有滑块；所述调节架呈下端与滑块相连接，上端设置有沿环型轨道径向设置的水平滑孔，水平滑槽内插设有滑杆，滑杆外端铰接有转杆，转杆外端安装有探测笔；本测量平台结构简单，组装简便，适用性较高，可以在测量章动磁齿轮磁场大小的同时，对转动齿轮转过的角度进行测量，且探测笔的位置可以进行滑动调整，与悬臂梁的角度关系也可以进行调节。
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| GB/T 7714 | 姚立纲 , 王雪滢 , 丁嘉鑫 et al. 章动磁齿轮磁场的测量装置 : CN202221246022.2[P]. | 2022-05-24 00:00:00 . |
| MLA | 姚立纲 et al. "章动磁齿轮磁场的测量装置" : CN202221246022.2. | 2022-05-24 00:00:00 . |
| APA | 姚立纲 , 王雪滢 , 丁嘉鑫 , 张大卫 , 王兴盛 . 章动磁齿轮磁场的测量装置 : CN202221246022.2. | 2022-05-24 00:00:00 . |
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本实用新型涉及一种具有被动阻尼的章动磁力减速器，包括具有第一磁齿轮的箱体，所述箱体的腔室内转动连接有具有凹腔并作为动力输出构件的第四磁齿轮，箱体上还转动安装有另一端与第四磁齿轮转动连接的输入轴，所述输入轴上固定有位于凹腔内的章动套，所述章动套上转动连接有与第一磁齿轮配合形成第一级减速磁齿轮副的第二磁齿轮，所述第二磁齿轮上套设固定有与第四磁齿轮配合形成第二级减速磁齿轮副的第三磁齿轮。该减速器传动比大、传动效率高、波动转矩小和稳定时间短。
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| GB/T 7714 | 姚立纲 , 丁嘉鑫 , 王兴盛 et al. 一种具有被动阻尼的章动磁力减速器 : CN202221316583.5[P]. | 2022-05-30 00:00:00 . |
| MLA | 姚立纲 et al. "一种具有被动阻尼的章动磁力减速器" : CN202221316583.5. | 2022-05-30 00:00:00 . |
| APA | 姚立纲 , 丁嘉鑫 , 王兴盛 , 王雪滢 , 王振亚 . 一种具有被动阻尼的章动磁力减速器 : CN202221316583.5. | 2022-05-30 00:00:00 . |
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本发明公开了一种具有改进渐开线型罗茨转子型线的转子及其设计方法，其中具有改进渐开线型罗茨转子型线的转子包括转子本体和布设在转子本体上且沿圆周方向均布的三个端头，每个端头由若干段线段构成，所述端头为轴对称叶形，且所述端头的对称半边由AB段齿谷圆弧、BC段渐开线、CD段偏心圆弧和DE段直线四部分组成。本发明的罗茨鼓风机转子型线的径距比达1.61，面积利用系数达0.603，具有较好的密封性的同时且可以提供更大的风量，提高了罗茨鼓风机的效率；同时保证了转子配合过程中能够实现全段的啮合和曲线的平滑过渡，结构简单，设计优化，具有较强的实用性。
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| GB/T 7714 | 蔡英杰 , 胡强 , 姚立纲 et al. 具有改进渐开线型罗茨转子型线的转子及其设计方法 : CN202210863309.8[P]. | 2022-07-20 00:00:00 . |
| MLA | 蔡英杰 et al. "具有改进渐开线型罗茨转子型线的转子及其设计方法" : CN202210863309.8. | 2022-07-20 00:00:00 . |
| APA | 蔡英杰 , 胡强 , 姚立纲 , 杨仁义 , 周浩 . 具有改进渐开线型罗茨转子型线的转子及其设计方法 : CN202210863309.8. | 2022-07-20 00:00:00 . |
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| GB/T 7714 | Yao Ligang , Wang Zhenya , Wang Xingsheng et al. 种两档双电机动力耦合驱动装置及其工作方法 : ZA202211483[P]. | 2022-10-20 00:00:00 . |
| MLA | Yao Ligang et al. "种两档双电机动力耦合驱动装置及其工作方法" : ZA202211483. | 2022-10-20 00:00:00 . |
| APA | Yao Ligang , Wang Zhenya , Wang Xingsheng , Chen Ying , Li Gaosong , Ding Jiaxin . 种两档双电机动力耦合驱动装置及其工作方法 : ZA202211483. | 2022-10-20 00:00:00 . |
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本实用新型涉及一种双侧耦合轴向章动磁力减速器，包括箱体，所述箱体的左端穿设有输入轴，箱体内部右侧设有转动盘，箱体内具有套设在输入轴上并随输入轴的旋转进行章动运动的章动盘，所述章动盘左、右端面分别设有第一章动磁齿轮和第二章动磁齿轮，箱体左端内侧设有与第一章动磁齿轮进行磁场耦合的固定磁齿轮，所述转动盘左端面设有与第二章动磁齿轮进行磁场耦合的活动磁齿轮。本实用新型双侧耦合轴向章动磁力减速器能够实现少极差，结构简单，传动比大，传动效率高；两侧耦合的轴向磁齿轮产生的轴向力能够有效抵消，提高轴承的使用寿命，轴向力小和传动平稳。
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| GB/T 7714 | 姚立纲 , 丁嘉鑫 , 汤伟民 et al. 一种双侧耦合轴向章动磁力减速器 : CN202223527128.2[P]. | 2022-12-29 00:00:00 . |
| MLA | 姚立纲 et al. "一种双侧耦合轴向章动磁力减速器" : CN202223527128.2. | 2022-12-29 00:00:00 . |
| APA | 姚立纲 , 丁嘉鑫 , 汤伟民 , 谭子超 , 苏浩程 . 一种双侧耦合轴向章动磁力减速器 : CN202223527128.2. | 2022-12-29 00:00:00 . |
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本实用新型涉及一种大传动比的章动凸极磁力减速器，包括内部设有转动盘的箱体，所述箱体的左端穿设有输入轴，转动盘中间具有套设在输入轴上并随输入轴的旋转进行章动运动的第一凸极转子，第一凸极转子上固定连接有第二凸极转子，所述第一凸极转子左端面设有若干沿周向间隔排列的第一凸极，箱体左端内侧设有与第一凸极转子进行磁场耦合的第一磁齿圈；所述第二凸极转子外周部设有若干沿周向间隔排列的第二凸极，所述转动盘内侧设有与第二凸极转子进行磁场耦合的第二磁齿圈。本实用新型大传动比的章动凸极磁力减速器不仅结构简单、传动比大、传动效率高，而且永磁体用量约为传统表贴式章动磁力减速器的一半，具有结构简单、传动比大、永磁体用量少等优点。
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| GB/T 7714 | 姚立纲 , 丁嘉鑫 , 苏浩程 et al. 一种大传动比的章动凸极磁力减速器 : CN202223527206.9[P]. | 2022-12-29 00:00:00 . |
| MLA | 姚立纲 et al. "一种大传动比的章动凸极磁力减速器" : CN202223527206.9. | 2022-12-29 00:00:00 . |
| APA | 姚立纲 , 丁嘉鑫 , 苏浩程 , 谭子超 , 张彪伟 . 一种大传动比的章动凸极磁力减速器 : CN202223527206.9. | 2022-12-29 00:00:00 . |
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