蒙古族团花纹数字化创新设计研究

目的 解决蒙古族团花纹应用时,因卷曲纹样基元形态提取不规范而导致的应用效果不佳问题,为蒙古族传统纹样的创新设计提供新的思路。方法 本文以蒙古族团花纹为例,提出了一种数字化创新设计方法并加以实践。首先,从纹样的基元、结构、色彩三方面对蒙古族传统纹样进行艺术特征分析,解读不同纹样的文化内涵并归纳造型特征。随后,通过数字化手段提取纹样基元,利用函数曲线替换其比例失衡的线条,进而规范纹样基元,提升纹样美观度。结果 规范后的纹样基元运用形状文法进行创新设计,使纹样得到创新的同时在视觉形象上也有所提升。结论 该方法既保留了蒙古族传统纹样的风格特征,又符合现代设计的审美需求,丰富了蒙古族传统纹样在进行当代产品应用时的设计方法。     

引入智能虚拟讲解员的云展厅构建与交互反馈研究

奥林匹克遗产是全人类的宝贵财富,利用科技与文化艺术相融合,对实现北京冬奥会及奥林匹克遗产和精神文化的多元呈现和高效传播至关重要.线上云展厅作为信息时代数字博物馆发展的重要趋势,虽然在单项数字博物馆与交互系统技术研究方面已具备较好的基础,但尚未形成体系化、智能化、交互友好的冬奥会奥林匹克数字博物馆系统.面向北京2022年冬季奥林匹克运动会,提出一种具有交互反馈的云展厅系统构建方式,通过构建具有虚拟讲解员的智能交互云展厅,进一步探索交互反馈在知识传播型的数字博物馆中对于非物质文化遗产的传播作用.为了探索视听交互反馈对云展厅的奥林匹克精神文化传播的影响,同时提升知识传播型云展厅中的用户体验,对32名参与者进行用户实验.研究结果表明,所构建的云展厅能够极大地促进奥林匹克文化与精神的传播;同时,在云展厅中引入视听交互反馈能够提高用户的感知控制,从而有效地提升用户体验.     

Quantification of electron accumulation at grain boundaries in perovskite polycrystalline films by correlative infrared-spectroscopic nanoimaging and Kelvin probe force microscopy

Organic–inorganic halide perovskites are emerging materials for photovoltaic applications with certified power conversion efficiencies (PCEs) over 25％. Generall...     

Treatment of Critical Size Femoral Bone Defects with Biomimetic Hybrid Scaffolds of 3D Plotted Calcium Phosphate Cement and Mineralized Collagen Matrix

To treat critical-size bone defects, composite materials and tissue-engineered bone grafts play important roles in bone repair materials. The purpose of this study was to investigate the bone regenerative potential of hybrid scaffolds consisting of macroporous calcium phosphate cement (CPC) and microporous mineralized collagen matrix (MCM). Hybrid scaffolds were synthetized by 3D plotting CPC and then filling with MCM (MCM-CPC group) and implanted into a 5 mm critical size femoral defect in rats. Defects left empty (control group) as well as defects treated with scaffolds made of CPC only (CPC group) and MCM only (MCM group) served as controls. Eight weeks after surgery, micro-computed tomography scans and histological analysis were performed to analyze the newly formed bone, the degree of defect healing and the activity of osteoclasts. Mechanical stability was tested by 3-point-bending of the explanted femora. Compared with the other groups, more newly formed bone was found within MCM-CPC scaffolds. The new bone tissue had a clamp-like structure which was fully connected to the hybrid scaffolds and thereby enhanced the biomechanical strength. Together, the biomimetic hybrid MCM-CPC scaffolds enhanced bone defect healing by improved osseointegration and their differentiated degradation provides spatial effects in the process of critical-bone defect healing.     

膨润土湿法离心提纯试验及工业应用研究

简述了膨润土湿法离心提纯的工作原理,介绍了实验室试验装置及对几种不同膨润土的实验室提纯试验结果,分析了离心机操作参数对提纯效果的影响,并对工业应用效果进行了分析研究.     

Quantitative analysis of micro structural and conductivity evolution of Ni-YSZ anodes during thermal cycling based on nano-computed tomography

Understanding the mechanism of degradation in solid oxide fuel cells (SOFCs) using nickel/yttria-stabilized zirconia (Ni-YSZ) as the anode material is very important for the optimization of cell performance. In this work, the effects of thermal cycling on the microstructure of the Ni-YSZ anode are explored using the three-dimensional X-ray nano computed tomography (nano-CT) imaging technique. It is found that the average Ni particle size increased with thermal cycling, which is associated with the decreased connectivity of the Ni phase and the three-phase-boundary (TPB) length. Moreover, the conductivities of the anode samples are also reduced with the increase in thermal cycle times. The implication of these observations is discussed in terms of the relationship between the conductivity and connectivity of the Ni phase.     

A learning-based approach for leaf detection in traffic surveillance video

Multidimensional Systems and Signal Processing - Traffic surveillance video is recorded in uncontrolled outdoor scenarios. If the camera view gets obstructed by the leaves, the video will fail to...     

Morphological segmenting and neighborhood pixel-based locality preserving projection on brain fMRI dataset for semantic feature extraction: an affective computing study

Two specific chemical receptive fields of brain, namely the amygdala and the orbital-frontal cortex, are related to valence and arousal in medical experiments. Functional magnetic resonance imaging (fMRI), which is a noninvasive, repeatable, and atomical tool for medical imaging in clinic system, was widely used in affective computing; however, it faces its dataset processing difficulty for dimensional reduction as well as for decreasing the computational complexity. In addition, features extraction from those de-dimensionality datasets is a challenging issue. The current work solved the de-dimensionality issue by using some preprocessing algorithms including clustering, morphological segmenting, and locality preserving projection. In order to keep useful information in fMRI dataset for reduction process, improved neighborhood pixel-based locality preserving projection (NP-LPP) algorithm was addressed and continuously for feature extraction operating using Otsu weighted sum of histogram. Furthermore, a modified covariance power spectral density (MC-PSD) separately in an fMRI Valence–Arousal experiments was measured. The results were analyzed and compared with affective norms English words system. The experiments established that the proposed methods of NP-LPP effectively simplified high complexity of fMRI, and Otsu weighted sum of histogram exhibited superior performance for features extraction compared to the MC-PSD through the calculation root mean standard error. The current proposed method provided a potential application and promising research direction on human semantic retrieval through medical imaging dataset.