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989 results on '"Ren, Ning"'

36. Research on Manufacturing Technology of Super-large Module Climbing Pinions

Author

Ren Ning and Zhou Feng

Subjects
Climbing pinion, Rough tooth processing, Heat treatment process test, Material performance test, Finished tooth processing, Mechanical engineering and machinery, TJ1-1570
Abstract

The climbing pinion is an important part of the jacking system of a self-elevating platform and the manufacturing of super-large module climbing pinions belongs to the extreme processing requiring high manufacturing technology. Rough tooth processing, heat treatment process test and finished tooth processing are the key technologies in manufacturing super-large module climbing pinions. The improved oxygen-gas NC flame cutting technology is used for rough teeth, which can make the tooth flank and tooth root after quenching and tempering treatment obtain surface hardness above 330 HB. To study the mechanical properties of climbing pinions after quenching and tempering treatment, the material performance test is performed on the specimens taken from climbing pinion forgings, and the results show that the tensile property and impact energy of the materials meet the mechanical property requirements. NC milling technology is used to process finished teeth of climbing pinions, and the results show that the roughness of tooth surface of climbing pinions can be controlled within Ra=6.3 μm, and the deviation of common normal length can be controlled within 0.2 mm. The manufacturing process and control measures of the above key links ensure that the finished product quality of climbing pinions can meet the technical requirements.

Published
2022
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39. Review of Research on Imbalance Problem in Deep Learning Applied to Object Detection

Author

REN Ning, FU Yan, WU Yanxia, LIANG Pengju, HAN Xi

Subjects
deep learning, object detection, data imbalance, scale imbalance, relative spatial imbalance, classifi-cation and regression imbalance, Electronic computers. Computer science, QA75.5-76.95
Abstract

The current scheme of manually extracting features for object detection has been replaced by deep learning. Deep learning technology has greatly promoted the development of object detection technology. Object detection has also become one of the most important application fields of deep learning. Object detection is to simultaneously predict the category and position of object instances in a given image. This technology has been widely used in medical imaging, remote sensing technology, monitoring and security, automatic driving and other fields. However, with the diversification of object detection application fields, the imbalance problem in the application of deep learning to object detection has become a new entry point to optimize the object detection training model. This paper mainly analyzes the use of machine learning technology to solve the object detection problem. There are four kinds of imbalance problems in each training stage of the model: data imbalance, scale imbalance, relative space imbalance and classification and regression imbalance. This paper analyzes the main reasons for the problem, studies representative classical solutions, and expounds the problems existing in object detection in various fields. By analyzing and summarizing the object detection imbalance problems, this paper discusses the directions of the imbalance of object detection in the future.

Published
2022
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40. Supplementary tables from Repolarization of Immunosuppressive Macrophages by Targeting SLAMF7-Regulated CCL2 Signaling Sensitizes Hepatocellular Carcinoma to Immunotherapy

Author

Weng, Jialei, primary, Wang, Zheng, primary, Hu, Zhiqiu, primary, Xu, Wenxin, primary, Sun, Jia-Lei, primary, Wang, Fu, primary, Zhou, Qiang, primary, Liu, Shaoqing, primary, Xu, Min, primary, Xu, Minghao, primary, Gao, Dongmei, primary, Shen, Ying-Hao, primary, Yi, Yong, primary, Shi, Yi, primary, Dong, Qiongzhu, primary, Zhou, Chenhao, primary, and Ren, Ning, primary

Published
2024
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41. Supplementary Figure S6 from Repolarization of Immunosuppressive Macrophages by Targeting SLAMF7-Regulated CCL2 Signaling Sensitizes Hepatocellular Carcinoma to Immunotherapy

Author

Weng, Jialei, primary, Wang, Zheng, primary, Hu, Zhiqiu, primary, Xu, Wenxin, primary, Sun, Jia-Lei, primary, Wang, Fu, primary, Zhou, Qiang, primary, Liu, Shaoqing, primary, Xu, Min, primary, Xu, Minghao, primary, Gao, Dongmei, primary, Shen, Ying-Hao, primary, Yi, Yong, primary, Shi, Yi, primary, Dong, Qiongzhu, primary, Zhou, Chenhao, primary, and Ren, Ning, primary

Published
2024
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42. Supplementary materials and methods from Repolarization of Immunosuppressive Macrophages by Targeting SLAMF7-Regulated CCL2 Signaling Sensitizes Hepatocellular Carcinoma to Immunotherapy

Author

Weng, Jialei, primary, Wang, Zheng, primary, Hu, Zhiqiu, primary, Xu, Wenxin, primary, Sun, Jia-Lei, primary, Wang, Fu, primary, Zhou, Qiang, primary, Liu, Shaoqing, primary, Xu, Min, primary, Xu, Minghao, primary, Gao, Dongmei, primary, Shen, Ying-Hao, primary, Yi, Yong, primary, Shi, Yi, primary, Dong, Qiongzhu, primary, Zhou, Chenhao, primary, and Ren, Ning, primary

Published
2024
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43. Data from Repolarization of Immunosuppressive Macrophages by Targeting SLAMF7-Regulated CCL2 Signaling Sensitizes Hepatocellular Carcinoma to Immunotherapy

Author

Weng, Jialei, primary, Wang, Zheng, primary, Hu, Zhiqiu, primary, Xu, Wenxin, primary, Sun, Jia-Lei, primary, Wang, Fu, primary, Zhou, Qiang, primary, Liu, Shaoqing, primary, Xu, Min, primary, Xu, Minghao, primary, Gao, Dongmei, primary, Shen, Ying-Hao, primary, Yi, Yong, primary, Shi, Yi, primary, Dong, Qiongzhu, primary, Zhou, Chenhao, primary, and Ren, Ning, primary

Published
2024
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46. Motion parameter optimization of reciprocating vibrating screen based on discrete element method

Author

REN Ning, WANG Zhong-ying, BAI Xiao-li, and WU Wen-bin

Subjects
discrete element method, loose particles, vibration separation, numerical simulation, orthogonal test, Food processing and manufacture, TP368-456
Abstract

Objective: To determine the precise quantitative relationship between screening efficiency and motion parameters for reciprocating vibrating screen, and to obtain the movement parameters with the optimal screening efficiency. Methods: Rocky was adopted to accurately simulate the movement behavior for wheat grain and wheat stem in the screening process, many factors orthogonal simulation test was used to investigate the effect of vibration frequency, amplitude, vibrating direction angle and screen surface inclination angle on screening efficiency. Results: The movement behaviors of wheat in the screening process was consistent with the theory analysis, which verified the correctness and feasibility of numerical simulation using Rocky. The vibration frequency, amplitude, vibrating direction angle and screen surface inclination angle have significant influence on the screening efficiency, and there is significant interaction between these motion parameters. The optimal motion parameter combination was the vibration frequency of 10 Hz, the amplitude of 2 mm, the vibration direction angle of 45° and the screen surface inclination angle of 0°. Conclusion: A regression model reflecting the quantitative relationship between motion parameters of and screening efficiency for reciprocating vibrating screen was established, and the optimal motion parameter combination of reciprocating vibrating screen was obtained.

Published
2023
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