“数字电子技术”课程思政教学改革研究

落实立德树人,实现三全育人,将思政融入到《数字电子技术》这门专业课程中,培养学生专业知识的同时,引导学生树立良好的人生观和价值观。通过重构本校的数字电子技术课程内容,挖掘思政元素,并润物细无声般融入到数字电子技术的教学改革中,并通过实际的案例讲解具体融入过程。     

No-Reference Video Quality Assessment using novel hybrid features and two-stage hybrid regression for score level fusion

This paper presents a novel No-Reference Video Quality Assessment (NR-VQA) model that utilizes proposed 3D steerable wavelet transform-based Natural Video Statistics (NVS) features as well as human perceptual features. Additionally, we proposed a novel two-stage regression scheme that significantly improves the overall performance of quality estimation. In the first stage, transform-based NVS and human perceptual features are separately passed through the proposed hybrid regression scheme: Support Vector Regression (SVR) followed by Polynomial curve fitting. The two visual quality scores predicted from the first stage are then used as features for the similar second stage. This predicts the final quality scores of distorted videos by achieving score level fusion. Extensive experiments were conducted using five authentic and four synthetic distortion databases. Experimental results demonstrate that the proposed method outperforms other published state-of-the-art benchmark methods on synthetic distortion databases and is among the top performers on authentic distortion databases. The source code is available at https://github.com/anishVNIT/two-stage-vqa.     

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。     

Flexible electronic skin with high performance pressure sensing based on PVDF/rGO/BaTiO3 composite thin film

The wearable intelligent electronic product similar to electronic skin has a great application prospect. However, flexible electronic with high performance pressure sensing functions are still facing great challenges. In this paper, the highly sensitive flexible electronic skin (FES) based on the PVDF/rGO/BaTiO₃ composite thin film was fabricated using the near-field electrohydrodynamic direct-writing (NFEDW) method. The PVDF/rGO/BaTiO₃ composite solution was directly written on flexible substrate by the NFEDW method to fabricate FES with micro/nano fiber structure, which has the function of sensing pressure with high sensitivity and fast response. The surface morphology and microstructure were characterized by SEM, AFM, and optical microscope in detail. The fabricated FES has high sensitivity (59 kPa⁻¹) and faster response time (130 ms). FES has been successfully applied to the detection of human motion and subtle physiological signals. The experimental results show that FES has good stability and reliability. FES can recognize human motion, and it has a broad application prospect in the field of wearable devices.     

电子鼻结合顶空SPME-GC-MS联用技术分析贵州不同品种辣椒发酵后挥发性成分

以贵州5种不同辣椒品种为研究对象,采用电子鼻技术,结合顶空固相微萃取-气相色谱-质谱(solid phase microextraction-gas chromatography-mass,SPME-GC-MS)联用技术,对其发酵后挥发性成分进行分析。结果表明,电子鼻分析结果能够很好地区分不同辣椒品种发酵后的风味;采用主成分分析(principal component analysis,PCA)以及线性判别分析(linear discriminant analysis,LDA)可知,PCA和LDA主成分贡献率总和分别为99.93%、99.19%,均大于95%,说明传感器识别效应和样品间的风味区分度较好。SPME-GC-MS分析结果表明,5种样品共检出124种不同的挥发性风味物质。其中黄平线椒占97种,以酯类物质相对含量最高,为36.82%;施秉线椒和大方皱椒分别占88种和94种,且均以醇类物质相对含量最高,分别为31.88%、28.99%;百宜平面椒和花溪党武辣椒分别占89种和71种,均以烃类物质相对含量最高,分别为26.75%、35.08%。此结果与电子鼻PCA和LDA结果相一致。因此,通过SPME-GC-MS和电子鼻分析结果可知,电子鼻能够很好地区分贵州名优产地不同辣椒品种发酵后的风味。     

从Pentawards奖看扁平化视觉元素在包装设计中的应用

探讨扁平化视觉元素在包装设计中的运用方法及影响,丰富食品包装应用设计的创作理念和风格样式。以Pentawards获奖作品为研究对象,综合分析图形、文字、色彩和版面等核心视觉要素呈现的扁平化特征与原则。结果表明,扁平化视觉元素在包装设计中的运用方法:图形简洁矢量化、颜色稚拙块状化、文字扁平模块化、版面简约秩序化,产生了品牌形象个性化、信息传达效率高、多媒体适用性强等影响,验证了扁平化设计理念在包装设计的可行性与有效性。     

基于边缘和局部熵融合的视觉安全性评估方法

针对基于局部熵进行加密图像视觉安全性评估存在块效应的局限性，引入图像的边缘特征，通过共有边缘来衡量加密图像与原始图像的边缘相似度，消除了块效应。由于局部熵对加密等级低的图像不敏感，边缘相似度对加密等级高的图像不敏感，将两个评估方法进行自适应融合，提出[SLEES]（Local Entropy and Edge Similarity，[SLEES]）指标。通过改变图像像素位置和图像像素值的加密方式处理图像和视频帧进行测试，实验结果表明，[SLEES]指标相比传统评估指标有更好的鲁棒性，评估范围更广。     

基于机器视觉的机车齿轮毂全自动双轴拧紧机的设计和应用

设计了基于机器视觉的机车齿轮毂全自动双轴拧紧机,根据拧紧工艺和扭矩控制原理实现对螺栓拧紧力矩的控制;通过丝杠变径机构,实现不同规格齿轮毂螺栓拧紧;利用机器视觉实现螺栓位置的识别以及初始位置的确定;讨论了自动拧紧机控制系统的硬件组成和软件系统配置,并介绍了防错、防漏功能的设计流程。螺栓自动拧紧机可提高装配精度和操作效率,降低工人的劳动强度。     

废弃电路板电子元件低温脱焊研究

采用低熔点合金融锡法分离废弃电路板上的电子元件,分别以铅锡焊料和无铅焊料电路板为原料研究了温度和保温时间对电子元件分离率的影响,得到铅锡焊料电路板脱焊的优化条件:温度为150℃、保温时间4 min;无铅焊料电路板脱焊的优化条件:温度为180℃、保温时间7 min。在优化条件下,电子元件分离率分别可达到97. 38%和95. 25%。与其它脱焊方法相比,低熔点合金融锡法可有效降低焊料的熔化温度,减轻环境污染,具有显著的优势。     

Bend,Twist, and Turn: First Bendable and Malleable Toughened PLA Green Composites

The future of green electronics possessing great strength and toughness proves to be a promising area of research in this technologically advanced society. This work develops the first fully bendable and malleable toughened polylactic acid (PLA) green composite by incorporating a multifunctional polyhydroxybutyrate rubber copolymer filler that acts as an effective nucleating agent to accelerate PLA crystallization and performs as a dynamic plasticizer to generate massive polymer chain movement. The resultant biocomposite exhibits a 24‐fold and 15‐fold increment in both elongation and toughness, respectively, while retaining its elastic modulus at >3 GPa. Mechanism studies show the toughening effect is due to an amalgamation of massive shear yielding, crazing, and nanocavitation in the highly dense PLA matrix. Uniquely distinguished from the typical flexible polymer that stretches and recovers, this biocomposite is the first report of PLA that can be “bend, twist, turn, and fold” at room temperature and exhibit excellent mechanical robustness even after a 180° bend, attributes to the highly interconnected polymer network of innumerable nanocavitation complemented with an extensively unified fibrillar bridge. This unique trait certainly opens up a new horizon to future sustainable green electronics development.