小波包能熵谱和证据融合推理的电梯急停诊断

采用加速度时域信号的峭度系数和小波包变换后的频域信号能熵谱定义特征向量,获得证据融合法推理证据;利用测试样本统计得到特征值区间数;基于待测样本特征值与区间数之间的距离设计相似度,并归一化得到证据的基本概率分配函数;而后对证据进行时空融合得到证据融合合成规则,并采用可信度分配函数进行证据融合推理诊断;最后开展电梯实测实验,利用3层sym8小波包变换和9个证据对急停进行诊断。实验表明,该方法电梯急停故障诊断的准确率大于98%。     

孔子问答镜的文化特征提取与设计应用研究

目的将唐镜的元素运用到产品设计过程中,不仅满足目标对象对产品的多样性需求,而且也增强设计的故事性和内涵性。方法通过Kano模型用户需求分析,得到目标对象的主要需求;收集孔子问答镜的相关资料,提取孔子问答镜的显性文化特征和隐性文化特征;融合目标对象的主要需求,按照形状文法的规则演变,对提取的文化特征进行加工处理,得到可以直接应用的创意设计元素;并结合腕表设计案例对该方法进行实践验证。结论孔子问答镜文化特征提取与设计应用,既有利于提升现代人的品位,又实现了对中国传统文化的传承和创新。     

光子晶体制备及其应用研究进展

综述了光子晶体的特性以及制备方法,分别介绍了光子晶体在光子晶体光纤、光子晶体滤波器、低阈值激光器、光子晶体结构色等领域的应用研究现状,展示了光子晶体器件的巨大发展潜力,并指出了光子晶体今后的研究方向。同时笔者认为将3D打印技术与光子晶体器件的制备相结合,对早日实现光子晶体器件的实际应用意义重大。     

《盲杖第1部分:安全色标志》国家标准色度性能和光度性能指标的确定

以标准GB 16930.1-1997《盲人手杖安全色标志》为基础,参考GB 2893-2008《安全色》、GB/T 18833-2012《道路交通反光膜》等标准,选择国内外不同企业生产的30种反光膜样品,针对其色度性能和光度性能进行试验验证,包括色度坐标范围、亮度因数和最小逆反射系数.综合考虑盲杖使用者的实际出行特点、产品特性、国内行业现状、使用安全性,确定盲杖安全色标志逆反射材料色度性能和光度性能的技术指标.为修订强制性国家标准GB 16930.1《盲杖第1部分:安全色标志》提供数据支持.     

图形设计训练对传统图形形与色的借鉴

目的研究图形设计训练对传统图形形与色的借鉴作用。方法以设计学、色彩学及心理学为基础,采用理论与案例相结合的方法,从传统图形的形与色的特点、内涵及表现手法出发,分析传统图形在现代图形设计训练中的借鉴作用与实现途径。结论在图形设计训练中,对传统图形在形方面的借鉴表现在视觉性上体现为图形共用,时空性上体现为捕捉瞬间、截取片断、展现情节;在色方面的借鉴体现在色彩的象征性、色彩的装饰性、色彩的情感性等方面。     

水彩画在现代艺术设计中的应用探究

目的探究水彩画在现代艺术设计中的应用策略。方法从水彩画的特点及其对现代艺术设计的影响出发,总结水彩画在现代艺术设计中的应用优势,然后分服装设计、包装设计、工业设计3方面详细论述水彩画在现代艺术设计中的具体应用方式,并结合实例进行辅助论证。结论水彩画有着丰富的形式和表现手法,其强烈的艺术感染力,不仅能够缩短现代艺术设计的创作周期,而且还能提升现代艺术设计的整体美感,大大增强设计效果。     

Semisupervised dimensionality reduction for hyperspectral images based on the combination of semisupervised learning and metric learning

This paper presents a semisupervised dimensionality reduction (DR) method based on the combination of semisupervised learning (SSL) and metric learning (ML) (CSSLML-DR) in order to overcome some existing limitations in HSIs analysis. Specifically, CSSML focuses on the difficulties of high dimensionality of hyperspectral images (HSIs) data, the insufficient number of labelled samples and inappropriate distance metric. CSSLML aims to learn a local metrics under which the similar samples are pushed as close as possible, and simultaneously, the different samples are pulled away as far as possible. CSSLML constructs two local-reweighted dynamic graphs in an iterative two-steps approach: L-step and V-step. In L-step, the local between-class and within-class graphs are updated. In V-step, the transformation matrix and the reduced space are updated. The algorithm is repeated until a stopping criterion is satisfied. Experimental results on two well-known hyperspectral image data sets demonstrate the superiority of CSSLML algorithm compared to some traditional DR methods.     

Mobile application-based computer-aided diagnosis of skin tumours from dermal images

Skin tumour is defined as the enormous growth of cells in the skin. The aim is to design standalone application for diagnosis of skin tumours. The dermal images of three different types obtained from the authorized PH2 database are used to analyse the defined image processing algorithm. In this algorithm, pre-processing was performed to remove hair cells. Contour-based level set is used to segment lesion from which clinical and morphological features are extracted for classification. Significant features are obtained with the feature selection technique, Random subset. Classification is performed with three classifiers. The efficiency of the classifier obtained with different trials of classification is analysed with the ANOVA test. With these results, the Multiclass Support vector machine was configured as a suitable classifier to categorize dermal images. Therefore, an application is developed for the analysis of images acquired through mobile with the help of a magnification set-up. Thus, extracted features, segmented and original images are transferred to a database for storage.     

Novel 3D‐Printed Hybrid Auxetic Mechanical Metamaterial with Chirality‐Induced Sequential Cell Opening Mechanisms

New hybrid auxetic chiral mechanical metamaterial are designed and fabricated via multi‐material 3D printing. Due to the chirality‐induced rotation, the material have unique sequential cell‐opening mechanisms. Mechanical experiments on the 3D printed prototypes and systematic FE simulations show that the effective stiffness, the Poisson's ratio and the cell‐opening mechanisms of the new design can be tuned in a very wide range by tailoring two non‐dimensional parameters: the cell size ratio and stiffness ratio of component materials. As example applications, sequential particle release mechanisms and color changing mechanisms of the new designs are also systematically explored. The present new design concepts can be used to develop new multi‐functional smart composites, sensors and/or actuators which are responsive to external load and/or environmental conditions for applications in drug delivery and color changing for camouflage.