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181.
姜荣平 《浙江交通职业技术学院学报》2012,13(4):60-63,71
通过对107名高职院校学生的学习动机、自我效能感以及两者关系的测量统计,发现高职学生的学习动机、内生动机与学业自我效能感和一般自我效能感之间均存在显著正相关,并以此为依据,探索提出了以增强自我效能感来提高学习兴趣的思路和方法。 相似文献
182.
Computed tomography (CT) reconstruction with a well-registered priori magnetic resonance imaging (MRI) image can improve reconstruction results with low-dose CT, because well-registered CT and MRI images have similar structures. However, in clinical settings, the CT image of patients does not always match the priori MRI image because of breathing and movement of patients during CT scanning. To improve the image quality in this case, multi-group datasets expansion is proposed in this paper. In our method, multi-group CT-MRI datasets are formed by expanding CT-MRI datasets. These expanded datasets can also be used by most existing CT-MRI algorithms and improve the reconstructed image quality when the CT image of a patient is not registered with the priori MRI image. In the experiments, we evaluate the performance of the algorithm by using multi-group CT-MRI datasets in several unregistered situations. Experiments show that when the CT and priori MRI images are not registered, the reconstruction results of using multi-group dataset expansion are better than those obtained without using the expansion. 相似文献
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以某主跨390 m的独塔流线型钢箱梁斜拉桥为工程依托,采用风洞试验与计算流体动力学(Computational Fluid Dynamics,CFD)相结合的方法对流线型钢箱梁涡激振动机理与气动控制措施进行研究。首先,采用几何缩尺比为1∶30的主梁节段模型进行主梁涡振性能与气动控制措施优化研究;其次,采用CFD方法对主梁涡振响应进行流固耦合计算,将Newmark-β算法嵌入ANSYS Fluent用户自定义函数(User Defined Functions,UDFs)实现主梁结构振动响应求解,同时结合动网格技术实现主梁断面流固耦合分析;并根据判断条件来检索箱梁壁面上的网格单元,以获得主梁断面振动过程中的表面压力,然后结合主梁结构振动响应、表面压力以及流场特征等对主梁涡激振动机理进行分析。结果表明:该桥主梁原设计方案存在涡激共振现象,将梁底检修车轨道内移120 cm可有效抑制主梁涡振响应;主梁涡激振动响应的数值模拟结果与风洞试验结果吻合较好;检修车轨道内移120 cm后主要改变了箱梁下表面平均压力系数分布特性,且箱梁表面各测点脉动压力卓越频率不一致,有效减小了主梁涡激振动响应;流线型箱梁靠近迎风侧的“被动区域”对结构涡振响应贡献较小,背风侧“驱动区域”发生周期性旋涡脱落是影响流线型箱梁涡振的主要因素。 相似文献
185.
[Objective ] To meet the requirements of remotely controlling ship in curved, narrow and crowded inland waterways, this paper proposes an approach that consists of CNN-based algorithms and knowledge based models under ship-shore cooperation conditions. [Method]On the basis of analyzing the characteristics of ship-shore cooperation, the proposed approach realizes autonomous perception of the environment with visual simulation at the core and navigation decision-making control based on deep reinforcement learning, and finally constructs an artificial intelligence system composed of image deep learning processing, navigation situation cognition, route steady-state control and other functions. Remote control and short-time autonomous navigation of operating ships are realized under inland waterway conditions, and remote control of container ships and ferries is carried out. [Results]The proposed approach is capable of replacing manual work by remote orders or independent decision-making, as well as realizing independent obstacle avoidance, with a consistent deviation of less than 20 meters. [Conclusions]The developed prototype system carries out the remote control operation demonstration of the above ship types in such waterways as the Changhu Canal Shenzhou line and the Yangtze River, proving that a complete set of algorithms with a CNN and reinforcement learning at the core can independently extract key navigation information, construct obstacle avoidance and control awareness, and lay the foundation for inland river intelligent navigation systems. © 2022 Journal of Clinical Hepatology. All rights reserved. 相似文献
186.
美国海军研究署(ONR)2006年启动可变船型气垫船(Transformable Craft,简称:T-Craft)项目,用于海上基地的高速连接舰。第一阶段研究主要开展初步方案论证及技术风险分析等;第二阶段研究自2008年初开始,包括关键技术研究、方案设计和模型试验等。文章主要介绍在合同第二阶段,Alion公司及TMLS公司对该船型的一些研究工作和关键技术解决方案。 相似文献
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188.
Zheng Ran Hua Yan Huimin Zhang Yun Li 《International Journal of Automotive Technology》2017,18(6):1109-1119
The AUTOSAR has been developed as the worldwide standard for automotive E/E software systems, making the electronic components of different suppliers to be employed universally. However, as the number of component-based applications in modern automotive embedded systems grows rapidly and the hardware topology becomes increasingly complex, deploying such large number of components in automotive distributed system in manual way is over-dependent on experience of engineers which in turn is time consuming. Furthermore, the resource limitation and scheduling analysis make the problems more complex for developers to find out an approximate optimal deploying approach in system integration. In this paper, we propose a novel method to deploy the AUTOSAR components onto ECUs with the following features. First, a clustering algorithm is designed for deploying components automatically within relatively low time complexity. Second, a fitness function is designed to balance the ECUs load. The goal of our approach is to minimize the communication cost over all the runnable entities while meeting all corresponding timing constraints and balancing all the ECUs load. The experiment results show that our approach is efficient and has well performance by comparing with other existing methods in specific and synthetic data set. 相似文献
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