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Intelligent energy-saving operation of wheel loader based on identifiable materials
Bing-wei Cao,Xinhui Liu,Wei Chen,Kuo Yang,Dan Liu 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.3
This study applies image recognition technology to the shovel loading operation of a wheel loader for the first time. In the proposed method, the wheel loader can automatically select the corresponding engine power curve according to different identifiable materials, thus achieving intelligent energy saving. This study first analyzed the working resistance of the wheel loader, and the analysis results provided theoretical support to the energy-saving operation of the wheel loader. The shovel loading test was carried out for different materials. The test results validated the feasibility of intelligent energy-saving operation of the wheel loader based on identifiable materials. A neural network algorithm based on material identification model was then built and verified, whose material identification rate was 92 %. The model was used as the carrier, and the wheel loader-operating characteristics were considered in view of the existing engine energy-saving mode. Finally, the boom cylinder pressure and bucket angle were used as feedback to future discussion about the intelligent energy-saving operation of the wheel loader. The basic conditions for subsequent designs of wheel loaders are provided.
Mechanism analysis of pressure fluctuation in wheel loader articulated steering hydraulic system
Bing-wei Cao,Xinhui Liu,Wei Chen,Chen Zhou,Fei-xiang Xu 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.10
This paper studies the influence of hinge point positioning of a steering cylinder on the pressure fluctuation of the steering system of a wheel loader. Affected by the hinge point position of the steering cylinder, the main causes of the pressure fluctuation are found to be the stroke difference and the force arm difference. Based on theoretical analysis, the hinge point positioning of the steering cylinder was optimized by using genetic algorithm (GA). The AMEsim simulation model of the steering system was built to verify the accuracy of the GA. The wheel loader was reformed according to the optimized articulated points position. Steering tests showed a significant drop in system pressure fluctuation, the energy consumed is also reduced. Further, the analysis shows that the force arm difference is the main factor causing the pressure fluctuation, providing the theoretical and experimental basis for the design of a steering system of wheel loaders.
Wei Han,Cong Zhang,Xiao-jiao Gao,Hua-bing Wang,Fang Chen,Fang Cao,Yong-wei Hu,Jun Ma,Xing Gu,Hou-zhong Ding 한국유방암학회 2018 Journal of breast cancer Vol.21 No.1
Purpose: Five members of the zinc finger of the cerebellum (ZIC) family—ZIC1, ZIC2, ZIC3, ZIC4, and ZIC5—have been shown to be involved in various carcinomas. Here, we aimed to explore the clinicopathologic and prognostic roles of ZIC family members in invasive breast cancer patients using immunohistochemical analysis, western blotting analysis, and real-time quantitative polymerase chain reaction (RT-qPCR). Methods: A total of 241 female invasive breast cancer patients who underwent radical mastectomy between 2009 and 2011 were enrolled. ZIC proteins in 241 pairs of breast tumors and corresponding normal tissues were investigated using immunohistochemistry and the clinicopathologic roles of proteins were analyzed using Pearson’s chi-square test. Kaplan-Meier curves and Cox regression analysis were also used to analyze the prognostic value of the ZIC proteins. In addition, 12 pairs of fresh-frozen breast tumors and matched normal tissues were used in the western blotting analysis and RT-qPCR. Results: Only ZIC1 expression in normal tissues was obviously higher than that in tumors (p<0.001). On multivariate analysis, ZIC1 expression (in overall survival analysis: hazard ratio [HR], 0.405, 95% confidence interval [CI], 0.233–0.702, p=0.001; in disease-free survival analysis: HR, 0.395, 95% CI, 0.234–0.669, p=0.001) was identified as a prognostic indicator of invasive breast cancer. Conclusion: ZIC1, but not the other proteins, was obviously decreased in breast tumors and associated with clinicopathologic factors. Thus, ZIC1 might be a novel indicator to predict the overall and disease-free survival of invasive breast cancer patients.
Xueying Li,He Huang,Bing Xu,Hongqiang Guo,Yingcheng Lin,Sheng Ye,Jiqun Yi,Wenyu Li,Xiangyuan Wu,Wei Wang,Hongyu Zhang,Derong Xie,Jiewen Peng,Yabing Cao,Xingxiang Pu,Chengcheng Guo,Huangming Hong,Zhao 대한암학회 2019 Cancer Research and Treatment Vol.51 No.3
Purpose Rituximab with cyclophosphamide, doxorubicin, vincristine, and prednisone administered every 3 weeks (R-CHOP-21) is the standard care for diffuse large B-cell lymphoma (DLBCL). It is unknown whether the dose-dense R-CHOP (R-CHOP-14) could improve the outcome of the disease in Asian population. Materials and Methods Newly diagnosed DLBCL patients were centrally, randomly assigned (1:1) to receive R-CHOP- 14 or R-CHOP-21. R-CHOP-14 was administered every 2 weeks, and R-CHOP-21 was administered every 3 weeks. Primary end point was disease-free survival (DFS). Secondary end points included overall survival (OS), progression-free survival (PFS), response rate and toxicities. Results Seven hundred and two patients were randomly assigned to receive R-CHOP-14 (n=349) or R-CHOP-21 (n=353). With a median follow-up of 45.6 months, the two groups did not differ significantly in 3-year DFS (79.6% for R-CHOP-14 vs. 83.2% for R-CHOP-21, p=0.311), 3-year OS (77.5% for R-CHOP-14 vs. 77.6% for R-CHOP-21, p=0.903), or 3-year PFS (63.2% for R-CHOP-14 vs. 66.1% for R-CHOP-21, p=0.447). Patients with an International Prognostic Index (IPI) score ! 2 had a poorer prognosis compared to those with an IPI score < 2. Grade 3/4 hematologic and non-hematologic toxicities were manageable and similar between R-CHOP-14 and R-CHOP-21. Conclusion R-CHOP-14 did not improve the outcome of DLBCL compared to R-CHOP-21 in Asian population. With manageable and similar toxicities, both of the two regimens were suitable for Asian DLBCL patients. For high-risk patients with IPI ! 2, new combination regimens based on R-CHOP deserve further investigation to improve efficacy.
Yamei Xu,Qiyuan Hu,Zongyun Wei,Yi Ou,Youde Cao,Hang Zhou,Mengna Wang,Kexiao Yu,Bing Liang 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00
Diabetic ulcers (DUs) are one of the most serious complications of diabetes mellitus. The application of a functional dressing is a crucial step in DU treatment and is associated with the patient’s recovery and prognosis. However, traditional dressings with a simple structure and a single function cannot meet clinical requirements. Therefore, researchers have turned their attention to advanced polymer dressings and hydrogels to solve the therapeutic bottleneck of DU treatment. Hydrogels are a class of gels with a three-dimensional network structure that have good moisturizing properties and permeability and promote autolytic debridement and material exchange. Moreover, hydrogels mimic the natural environment of the extracellular matrix, providing suitable surroundings for cell proliferation. Thus, hydrogels with different mechanical strengths and biological properties have been extensively explored as DU dressing platforms. In this review, we define different types of hydrogels and elaborate the mechanisms by which they repair DUs. Moreover, we summarize the pathological process of DUs and review various additives used for their treatment. Finally, we examine the limitations and obstacles that exist in the development of the clinically relevant applications of these appealing technologies.
Adaptive Trajectory Compensation of Large Inertia Robot
Kuo Yang,Xin-hui Liu,Bing-wei Cao,Wei Chen,Peng Tan 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.3
The electro-hydraulic controlled bionic robots suffer from path contour deviation, which is affected byinertia, system lag, and control system accuracy. The focus of this paper is on the study of a data-driven systemfor the compensation of errors in the robot’s internal arithmetic model and its own motion. A deviation predictionmodel of the robot motion process is constructed using a machine learning approach, while the spatial error, generated in the transfer process between the input trajectory and the actual output, is de-parameterized and regardedas an attribute value of the robot’s motion process. Furthermore, a data-based adaptive compensation method isproposed. The simulation model and a hardware-in-the-loop simulation platform of the proposed control strategyare constructed, in order to verify the proposed control approach. Simulation and experimental results show that theproposed compensation strategy can significantly reduce system deviation.