高职学生自我效能感与学习兴趣激发的研究

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。     

Human-like autonomous car-following model with deep reinforcement learning

This study proposes a framework for human-like autonomous car-following planning based on deep reinforcement learning (deep RL). Historical driving data are fed into a simulation environment where an RL agent learns from trial and error interactions based on a reward function that signals how much the agent deviates from the empirical data. Through these interactions, an optimal policy, or car-following model that maps in a human-like way from speed, relative speed between a lead and following vehicle, and inter-vehicle spacing to acceleration of a following vehicle is finally obtained. The model can be continuously updated when more data are fed in. Two thousand car-following periods extracted from the 2015 Shanghai Naturalistic Driving Study were used to train the model and compare its performance with that of traditional and recent data-driven car-following models. As shown by this study’s results, a deep deterministic policy gradient car-following model that uses disparity between simulated and observed speed as the reward function and considers a reaction delay of 1 s, denoted as DDPGvRT, can reproduce human-like car-following behavior with higher accuracy than traditional and recent data-driven car-following models. Specifically, the DDPGvRT model has a spacing validation error of 18% and speed validation error of 5%, which are less than those of other models, including the intelligent driver model, models based on locally weighted regression, and conventional neural network-based models. Moreover, the DDPGvRT demonstrates good capability of generalization to various driving situations and can adapt to different drivers by continuously learning. This study demonstrates that reinforcement learning methodology can offer insight into driver behavior and can contribute to the development of human-like autonomous driving algorithms and traffic-flow models.     

Key technologies of ship remote control system in inland waterways under ship-shore cooperation conditions北大核心CSCD

［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.     

我国城市防洪排涝地下深隧规划设计与施工方法

为了建设符合中国国情的地下排水深隧,解决城市内涝问题,消除"城市看海"现象,采用调研分析的研究方法,通过调研国外城市排水深隧建设的成功案例,借鉴成熟经验并结合我国国情探索出我国城市排水深隧在规划设计、施工技术等方面的建设模式。主要结论如下:1)深隧规划必须坚持雨污分流原则,防涝标准应设为百年一遇;2)深隧层位应建于地下30~50 m的位置,隧道管线应布设在城市易涝区,并且将修建深隧、改造浅管和清淤河道衔接起来,形成一套完整的防洪排涝系统,让深隧的作用得以充分发挥,才能解决城市内涝问题;3)排水深隧要注重防水设计,防止雨水污染地下水;4)为提高深隧的经济效益,应将深隧与地下快速路的规划结合起来,功能上多样化。     

浅议诊断性测试在高职英语教学中的应用

诊断测试能有效地诊断出英语教学中存在的弱点,它是评价英语教学的一个有效手段。文章在介绍诊断测试概念的基础上,分析一次实际进行的诊断性测试。根据测试结果发现存在的问题并以此来改进高职荚语教学的模式。     

高等职业院校教学资源管理平台搭建初探

本文以高等职业教育教学资源管理平台开发为研究对象,在分析国内外教学资源平台发展状况的基础上,以辽宁省交通高等专科学校教学资源管理平台开发为依据,系统阐述了高等职业院校教学资源管理平台顶层设计内容、1+1+N平台运行模式、五层次用户管理模式、九模块自主添加功能、不公开信息处理功能等内容,对教学资源管理平台的主要功能进行了简明介绍,为高等职业院校教学资源管理平台开发与优化提供了很好的借鉴。     

“翻转课堂”热潮引发的思考

翻转课堂自实施以来,在教育领域引发大讨论,给教学带来了前所未有的变化,取得了良好的效果。本文对翻转课堂的由来及其对教学的改变进行分析,并探讨了翻转课堂实施对师生的要求,最后对我国大面积普及翻转课堂的制约因素进行了分析。     

网络合作学习策略下的大学生英语思辨能力培养实证研究

我国大学英语新一轮教学改革特别强调应注重学思结合,其根本目标就是要提高学生的思辨能力、创新能力。作者将网络合作学习策略探索性的应用在大学英语课堂教学活动中,通过实验教学、问卷调查及访谈等方式开展实证研究。通过实验数据分析,发现网络合作学习策略在教学中的应用的确对提高学生的思辨能力水平起到了积极推动的作用。     

商务英语课程项目化情景教学改革

高职英语课程项日化教学体现了高职教育培养目标对高职教学的要求，顺应了现代社会发展的要求。商务英语课程项目化情景教学突破了传统的教学模式，通过解决一些现实问题来实现学生对知识的掌握，大大提高学生学习的积极性和主动性，也使学生的动手能力、解决实际问题能力得到很大提高。     

黄河流凌河段深水栈桥施工技术

乌锡铁路黄河特大桥桥址位于三湖河口至昭君坟段,北岸为乌拉山山前倾平原,南岸为鄂尔多斯台地,桥址主河道宽710 m,水深3~20 m左右,处于严重的流凌河段,搭建施工栈桥成功与否是确保黄河特大桥顺利施工的关键所在。通过方案比选,确定采用浮桥方式,解决了流凌段栈桥的快速搭拆施工难题,取得了一定的经验。