人工智能赋能在线实验教学行为分析

教学行为分析作是教学质量分析的重要组成部分，也是教学引导与反馈机制的重要依据。文章阐述了人工智能（AI）的含义及发展历程，重点分析总结了教学行为分析方法及AI在教学行为分析上的应用。文章以东南大学电工电子在线实验为研究平台，探索分析了AI技术在实验教学行为分析上的可行性，梳理了基于专家系统的在线实验分析系统的设计思路，充分探讨了“智能”教育在实验教学中的深刻内涵。     

有轨电车车载储能系统研究

有轨电车车载储能系统是当前的业内热点。对有轨电车车载储能系统进行了研究,分析了有轨电车车载储能系统的容量配置、拓扑结构选择,论述了有轨电车车载储能系统的能量管理策略,并介绍了有轨电车车载储能系统的应用情况。     

基于“校企协同”的制冷空调课程体系的构建

从制冷空调企业的现状出发,利用校企协同、产教融合的创新组织模式,整合暖通行业、企业和学校的资源优势,构建一套“协同创新”的制冷空调课程体系,从根本上提高建环专业学生工程素养和创新能力,以满足暖通行业、企事业单位对具有实践及创新能力的高素质应用型技术人才需求。     

快递分拣机器人控制系统的设计

为提高快递分拣效率,设计了一种基于OpenMV机器视觉模块的快递分拣机器人控制系统。在这一控制系统中,通过机器视觉技术实现快递件的轮廓识别、定位、扫码及分类,将STM32单片机作为运动控制核心,外接传感器感知机器人的状态,基于串口与机器视觉模块双向通信,实现对放置在地面的快递件进行自动分拣。通过制作样机验证了设计的合理性与可行性。     

基于XML的信息物理融合系统组件建模与仿真

信息物理融合系统（CPS）涉及多种计算模型的集成和协同工作，针对CPS设计方法不统一、重塑性差、复杂度高、难以协同建模验证等问题，提出一种结构化、可描述行为的异元组件模型。首先，用统一组件建模方法进行建模，解决模型不开放问题；然后，用可扩展标记语言（XML）规范描述各类组件，解决不同计算模型描述语言不一致和不可扩展问题；最后，用多级开放组件模型的协同仿真验证方式进行仿真验证，解决验证的不可协同问题。通过通用组件建模方法、XML组件规范描述语言以及验证工具平台XModel对医用恒温箱进行了建模、描述和仿真。医用恒温箱的案例表明，这种模型驱动建立可重塑异元组件并确认其设计正确性的过程，支持信息物理协同设计和边构建边纠正，可避免在系统实现过程中发现问题时再进行反复修改。     

Recent progress in integration of reforming catalyst on metal-supported SOFC for hydrocarbon and logistic fuels

The metal-supported solid oxide fuel cell (MS-SOFC) is of current research interest in the clean energy field due to its high performance, quick start-up, thermal cycle stability, and lower raw material cost compared to the conventional cermet-based SOFC. To efficiently operate a MS-SOFC using complex hydrocarbon and logistic fuels, it is required to introduce an internal reforming catalyst within the anode metal scaffold. This review article discusses some examples of the performance of MS-SOFCs under hydrocarbon and logistic fuels with and without an additional reforming catalyst. We also discuss the performance improvement of conventional cermet-based SOFCs by adding reforming catalysts via the infiltration method. This information can be directly applied to future MS-SOFC applications. Furthermore, this review article proposes possible novel methods such as direct precursor infiltration, catalyst-anode premixing, and atomic layer deposition methods to introduce the reforming catalyst into a MS-SOFC for improving its initial electrochemical performance and long-term stability under hydrocarbon and logistics fuel.     

Human–machine shared control for lane departure assistance based on hybrid system theory

To improve the human–machine cooperation of lane departure assistance system (LDAS), a human–machine shared control strategy based on hybrid system theory was proposed. By considering vehicle’s discrete and continuous states and time-varying longitudinal speed, the hybrid system was formalized as hybrid automaton, and the shared control strategy was built to govern the human–machine interaction. Robust gain-scheduling energy-to-peak method was adopted to design the assistance system controller. The D-stability of the system was also studied and guaranteed by solving the linear matrix inequality (LMI). The proposed human–machine shared control method was evaluated via the co-simulation of CarSim/Simulink and the hardware-in-loop (HIL) experiment. The results showed that the proposed approach can effectively keep the vehicle in lane and a good human–machine coordination was demonstrated.     

基于GIS技术的工程地质环境系统构建及治理分析

针对传统的工程地质环境系统存在的收集图像与原始图像同向性较低的问题,以下开展了基于GIS技术的工程地质环境系统的构建研究。采用设计对比实验的方式验证该系统在实际应用过程中,可提升收集图像与原始图像的同向程度。     

Facilitation of consumer loyalty toward branded applications: The dual-route perspective

Although many brands develop mobile applications (apps) to build relationships with consumers, most branded apps fail to retain consumers’ loyalty. This study examines the facilitation of consumer loyalty toward branded apps (continuance intention, in-app purchase intention, and word-of-mouth intention) from the dual-route perspective. One route is the affective (relationship) route, where brand benefits (functional benefits, experiential benefits, symbolic benefits, and monetary benefits) drive parasocial interactions between consumers and the brand, which, in turn, influences branded app loyalty. The other route is the utility route, where system characteristics (system quality and information quality) affect perceived usefulness, which, in turn, facilitates branded app loyalty. An online survey was conducted, and the research model was empirically tested using partial least squares structural equation modeling. The findings support the dual-route perspective according to which both affective and utilitarian paths facilitate branded app loyalty. The key theoretical contribution of this study is that it moves beyond the utilitarian path and finds the affective (relationship) path to give a more complete picture of the facilitation of consumer loyalty in the branded app context. A strategy is provided to suggest to practitioners how to design branded apps to facilitate consumer loyalty.     

基因芯片法在食源性疾病中诊断效果及影响多因素Logistic分析研究

目的对比基因芯片法在食源性疾病诊断中的效果,并对影响多因素进行logistic分析。方法选择180例临床表现符合食源性疾病诊断标准的患者作为研究对象,随机均分为实验组和对照组各90例,对照组采用传统的常规培养检测方法,实验组采用基因芯片法进行检测,对比2种方法的检出率、检测耗时以及检测灵敏度。结果实验组的检出率和检测灵敏度均高于对照组的检出率和检测灵敏度,对照组的检测耗时大约是实验组检测耗时的8.24倍。结论相比常规方法,应用基因芯片法的诊断速度更快、准确率更高,在诊断食源性疾病中的应用效果更佳。通过对单因素的χ~2和t检验,确定对食源性疾病有直接影响的多个因素。对影响食源性疾病的多个因素进行Logistic分析,分析结果表明在本次研究分析中,影响较大的因素是人们的饮食卫生以及进食规律。