RL and AHP-Based Multi-Timescale Multi-Clock Source Time Synchronization for Distribution Power Internet of Things

Time synchronization(TS)is crucial for ensuring the secure and reliable functioning of the distribution power Internet of Things(IoT).Multi-clock source time synchronization(MTS)has significant advantages of high reliability and accuracy but still faces challenges such as optimization of the multi-clock source selection and the clock source weight calculation at different timescales,and the coupling of synchronization latency jitter and pulse phase difference.In this paper,the multi-timescale MTS model is conducted,and the reinforcement learning(RL)and analytic hierarchy process(AHP)-based multi-timescale MTS algorithm is designed to improve the weighted summation of synchronization latency jitter standard deviation and average pulse phase difference.Specifically,the multi-clock source selection is optimized based on Softmax in the large timescale,and the clock source weight calculation is optimized based on lower confidence bound-assisted AHP in the small timescale.Simulation shows that the proposed algorithm can effectively reduce time synchronization delay standard deviation and average pulse phase difference.

Effective Hybrid Teaching-learning-based Optimization Algorithm for Balancing Two-sided Assembly Lines with Multiple Constraints

Due to the NP-hardness of the two-sided assembly line balancing （TALB） problem, multiple constraints existing in real applications are less studied, especially when one task is involved with several constraints. In this paper, an effective hybrid algorithm is proposed to address the TALB problem with multiple constraints （TALB-MC）. Considering the discrete attribute of TALB-MC and the continuous attribute of the standard teaching-learning-based optimization （TLBO） algorithm, the random-keys method is hired in task permutation representation, for the purpose of bridging the gap between them. Subsequently, a special mechanism for handling multiple constraints is developed. In the mechanism, the directions constraint of each task is ensured by the direction check and adjustment. The zoning constraints and the synchronism constraints are satisfied by teasing out the hidden correlations among constraints. The positional constraint is allowed to be violated to some extent in decoding and punished in cost fimction. Finally, with the TLBO seeking for the global optimum, the variable neighborhood search （VNS） is further hybridized to extend the local search space. The experimental results show that the proposed hybrid algorithm outperforms the late acceptance hill-climbing algorithm （LAHC） for TALB-MC in most cases, especially for large-size problems with multiple constraints, and demonstrates well balance between the exploration and the exploitation. This research proposes an effective and efficient algorithm for solving TALB-MC problem by hybridizing the TLBO and VNS.

The Podcast as an Innovative Urban Planning Teaching Tool: Soft and Hard Skills between Discipline and Professional Identity

The expression didactic innovation has recently assumed an implicit reference to Distance Learning.For scholars,however,it was above all the critical questioning on learning models.The article explores the use of the podcast as a stimulus for engineering students to achieve new soft skills:to learn multidisciplinary contents related to planning and to acquire professional competences in digital aspects and feedbacks attribution.Experience took place over two years:this gave the opportunity to compare the activity carried out totally in presence and totally remotely(through online lessons and reviews),to draw from them issues for discussion and future implementations.

An Experimental Investigation into the Amalgamated Al2O3-40% TiO2 Atmospheric Plasma Spray Coating Process on EN24 Substrate and Parameter Optimization Using TLBO

Surface coating is a critical procedure in the case of maintenance engineering. Ceramic coating of the wear areas is of the best practice which substantially enhances the Mean Time between Failure (MTBF). EN24 is a commercial grade alloy which is used for various industrial applications like sleeves, nuts, bolts, shafts, etc. EN24 is having comparatively low corrosion resistance, and ceramic coating of the wear and corroding areas of such parts is a best followed practice which highly improves the frequent failures. The coating quality mainly depends on the coating thickness, surface roughness and coating hardness which finally decides the operability. This paper describes an experimental investigation to effectively optimize the Atmospheric Plasma Spray process input parameters of Al2O3-40% TiO2 coatings to get the best quality of coating on EN24 alloy steel substrate. The experiments are conducted with an Orthogonal Array (OA) design of experiments (DoE). In the current experiment, critical input parameters are considered and some of the vital output parameters are monitored accordingly and separate mathematical models are generated using regression analysis. The Analytic Hierarchy Process (AHP) method is used to generate weights for the individual objective functions and based on that, a combined objective function is made. An advanced optimization method, Teaching-Learning-Based Optimization algorithm (TLBO), is practically utilized to the combined objective function to optimize the values of input parameters to get the best output parameters. Confirmation tests are also conducted and their output results are compared with predicted values obtained through mathematical models. The dominating effects of Al2O3-40% TiO2 spray parameters on output parameters: surface roughness, coating thickness and coating hardness are discussed in detail. It is concluded that the input parameters variation directly affects the characteristics of output parameters and any number of input as well as output parameters can be easily optimized using the current approach.

On Lexical Processing in Teaching of College English Reading

As Constructivist theory is applied into lexical processing in teaching of college English reading, understanding word meaning should be seen as a reconstruction rather than a transmission of knowledge. Teachers should set up linguistic environment where students as sociate what they are learning with previous experience, and accomplish the construction of meaning in collaborative circumstance.

E—Learning环境下的Web课本设计理论与技术基础

随着计算机和网络技术的不断发展,虚拟学堂、虚拟教室、虚拟学校相继出现,Web课本(教材)、课件等以各种形式出现在各级网站上,供不同层次的学习者学习和利用。Web课本制作时采用各种复杂技术,不同的表现方式显示丰富的教学内容,实现人机交互。本文从理论和技术的角度探讨了个别化学习模式下的Web课本页面设计与应用。

Existing Problems and Solutions on Rural Primary School Language Education

At present,there are still many problems in language teaching in rural primary schools,which will affect the quality of teaching if we don't pay much attention to them.This article focuses on the existing flaws in current language teaching and provides some solutions.

From Students and Lecturers’Perspectives of New On-Line Web-Based Simulation Tools as Power Electronics Facilities Launching Surveys for Assessment Stage

The forthcoming European Higher Education Area has implied an important change in the teaching/learning process:it is necessary to get students more involved as well as to promote their independence and active participation.Furthermore,Information and Communication Technology is progressively including greater spaces in human beings’life,as economics,arts,engineering and education,among others fields.Therefore,a web tool,based on a content management system,has been developed to teach the Power Electronics subject.Moreover,the use of these multimedia tools makes it possible to encourage students’independence.This developed educational software is necessary as an important resource in the students’teaching/learning process.Therefore,the importance of evaluation models increases in as much as the application of these instruments allows its effective evaluation.It offers a greater guarantee of its use in these environments from the students’point of view.An evaluation process,by means of several surveys for students and lecturers,is used in order to evaluate the quality of these multimedia interactive tools.The results demonstrate that the use of this web tool increases students’motivation significantly.

基于赛教融合的智能交通课程实践教学研究

结合全国大学生智能汽车竞赛百度智慧交通创意组竞赛项目,设计智能交通课程实践教学内容,从竞赛内容凝练与课程知识点结合的教学案例和实验项目,实现赛教资源融合和赛教一体化实践平台共享。设计的实验教学项目融合了图像处理、数据分析、人工智能、智能车硬件平台等内容,包括数据采集、数据分析、数据集构建,深度学习模型建立与智能车平台部署等实践环节。学生从编写简单程序开始,不断提高,到构建复杂的深度学习模型实现智能车自动巡航控制实验。将竞赛任务具有挑战性和对抗性的特点融入课程教学,吸引学生兴趣,增强学生求知欲,提升学生创新能力和工程实践能力。

新文科背景下基于Blockly的机器学习实验教学平台设计与实现

在新文科建设背景下,针对文科学生编程经验少、机器学习实验上手难的问题,设计并实现一种基于Blockly编程的机器学习实验教学平台。该实验平台由教师管理端、学生实验端、系统管理端和公共模块四部分构成,采用B/S架构,由计算机编程语言Python和可视化编程工具Blockly实现。并以机器学习中的“自然语言处理”为实验教学案例,全面呈现该实验教学平台与实验教学任务结合的具体应用实践。

过程性评价对工科物理教学质量的影响研究

本研究以课堂测验的形式探索过程性评价对学习效果的影响。学生层面上,通过使用学习投入问卷对工科学生的大学物理学习投入进行测量,发现过程性评价除了检查课堂学习效果,还是提升学生情感投入的一个有效途径。教师层面,通过使用Rasch模型对大学物理课堂测试数据进行分析,发现过程性评价有助于出题教师优化测试题库,任课教师根据测试反馈也可以不断建构和修正教学内容,提高教学质量。

新工科背景下机械设计课程多元化考核模式实践

新工科建设背景下,教学理念的更新、教学方法和手段的革新,对机械设计课程考核方式也提出了新的要求。在机械设计课程教学过程中,探索并实践了多元化的过程性考核模式,建立了更加合理的考核评价体系。实践结果显示,这种考核方法能够提高学生学习效率、激发学习兴趣,同时,对教师的专业水平和教学能力也提出了更高要求,更好地促进了教与学的循环互动。

基于OBE理念创新工艺矿物学教学模式 提升学生学习动力

工艺矿物学是矿物加工工程专业的重要基础课程,在人才培养中起着关键作用。然而,传统的教学模式难以充分调动学生的学习积极性,影响了教学效果。文章基于OBE理念,从教学内容优化、教学方法创新、实践教学强化、考核方式改革等方面进行了探索与实践,构建了“产出导向、持续改进”的工艺矿物学教学新模式,有效提升了学生的学习动力,提出的教学改革思路可为相关专业课程教学提供借鉴。

程序设计课程实验教学改革与在线学习数据分析

针对程序设计课程实验教学中,学生学习能力具有差异性,且教学活动形式单一、过程性指导与考核难落地等问题,以项目制方式整合设计6个层次的实验教学内容,建设多种信息化平台,实施递进式实验教学。对借助平台记录的任务总耗时、评测次数、代码修改行数等过程性数据进行深度分析,综合考察学生的实验学习效率与期末考试成绩之间的相关性。围绕学生个体学习效果数据的评价,为教师教学改进提供了依据,提高了实验教学的针对性。分层递进式实验教学的实施,增加了课程的外延实验学习,充分满足了不同学生的学习需求,培养了他们的程序设计和计算思维能力,为其后续专业学习打下良好基础。

空间融合视域下同步课堂教学交互意蕴价值、模型构建与应用研究

同步课堂通过优化区域资源配置,促进了教学资源的共建共享。当前,随着同步课堂在我国的常态化按需应用,课堂情感交互不足、临场感偏低、学生参与度不高的现状日益显现,成为同步课堂高质量发展亟需解决的问题。该研究基于联通主义理论,依托新兴技术,设计了融合物理空间、虚拟空间和社会交互空间的同步课堂教学空间模型。在剖析同步课堂教学要素和空间特征的基础上,该研究构建了包括人机交互、人际交互和人知交互的同步课堂教学交互模型,并在湖北省咸安区同步课堂开展实践应用。围绕三年级音乐课的课前准备、情境呈现、新知探究、巩固练习、在线展示、总结评价和课后温习七个环节设计了教学交互实施策略,并取得了良好效果。结果发现,教学点和中心校学生在教学交互干预后,学生学习投入度都有所提高,师生情感体验显著改善。

新工科背景下数字图像与视频处理课程混合式教学的探索与实践

新工科发展背景下数字图像与视频处理课程传统单一的教学模式和教学方法已无法有效地适应新时代高素质人才培养要求,新工科要求课程的教学内容、教学模式和考核方式等要素不断更新。为改进陈旧的教学模式、激发学生的学习主动性、提升学生的创新思维及编程实践能力,提出通过开展线上线下混合式教学、线下课堂实施六步教学法、课程资源建设、融合课程思政、构建验证性基础实验+综合实验+创新性项目实践的阶梯型实践教学体系、改进教学评价方式等多种改进措施,深化课程教学改革,提高了课程教学质量,取得了良好的教学效果。

“双全双成果”新能源汽车技术专业(群)创新团队教学质量评价体系研究与实践

高等职业院校要强化质量意识,教学质量评价在教学质量保证中占据举足轻重的地位。为准确评价教师教学质量,并不断提升教师教学质量意识及能力,第二批国家级职业教育教师教学创新团队课题组以“双高计划”建设单位淄博职业学院新能源汽车技术专业(群)为试点,立足专业及行业特点,针对调研发现的现行教学质量评价中存在的评价机制缺乏系统性、评价指标体系设计缺乏依据、评价内容陈旧、评价指标描述抽象等问题,率先提出“双全双成果”新能源汽车技术专业(群)创新团队教学质量评价体系,为教育行政主管部门制定新能源汽车技术专业(群)发展宏观政策提供决策依据,也为全国新能源汽车技术创新团队建设起到指引和借鉴作用。

基于SPOC&PBL混合教学模式的实践研究——以机械零件数控铣削加工为例

探讨了SPOC的特点及PBL教学理念的实施方式,并结合数控铣削加工课程的知识结构与技能要求,设计了相应的教学活动。通过对比实施前后的教学效果,评估分析了新教学模式在提升学生实际操作能力和创新思维方面的优势。结果表明,SPOC&PBL混合模式具有显著的教学效果改进,能够有效提高学生的学习积极性与问题解决能力。综合研究成果,本文提出了该教学模式的优化方案和应用前景,为工程技术教育改革提供了有效参考。

基于超星平台的机械类课程设计过程性考核方法

随着现代教育模式的变革及学生学习习惯的改变,该文提出以超星平台为抓手,开展线上与线下相结合的机械类课程设计混合式教学,充分融合教学资源,构建混合模式下的过程性考核评价体系,强化过程考核,实现全流程、多层次评估学习成效。实践表明,混合教学模式下的过程性考核评价体系能够激发学生学习兴趣,提升教学效果,对新工科背景下机械类课程设计教学改革具有一定的参考意义。

同步在线教学中教师支持对学习投入的影响——一项基于大学生线上直播课的追踪研究

以“视频直播”形式进行的同步在线教学因支持实时互动而备受师生青睐,但其强交互功能并未解决在线学习“低参与、高辍课”的问题。考虑到在线学习投入是衡量学生在线学习积极性和努力程度的主要指标,而教师支持是影响学习投入的重要因素,文章依托自我决定理论,基于追踪数据构建无条件增长模型、时间变化协变量模型、交叉滞后面板模型和平行潜在增长模型,从动机感知角度探讨同步在线教学中教师支持对学习投入的影响及其作用机理,结果表明:随着课程推进,学生学习投入逐渐下降,且个体之间存在差异,初始水平越高、下降速度越快;教师支持对学习投入有渐强的正向影响,但影响缓慢滞后,需要经过一个感知反馈的过程;教师支持对学习投入的影响复杂,学生对教师支持的动机感知存在维度差异,其中自主需求感知较为突出、关联需求无感,动机感知维度失衡可能是导致学习投入降低的重要原因。文章的研究可为同步在线教学效果的提升提供有益参考,并为在线教学中教师支持策略优化、在线教学平台改进提供理论依据。