Compressively sampled light field reconstruction using orthogonal frequency selection and refinement

This paper considers the compressive sensing framework as a way of overcoming the spatio-angular trade-off inherent to light field acquisition devices. We present a novel method to reconstruct a full 4D light field from a sparse set of data samples or measurements. The approach relies on the assumption that sparse models in the 4D Fourier domain can efficiently represent light fields. The proposed algorithm reconstructs light fields by selecting the frequencies of the Fourier basis functions that best approximate the available samples in 4D hyper-blocks. The performance of the reconstruction algorithm is further improved by enforcing orthogonality of the approximation residue at each iteration, i.e. for each selected basis function. Since sparsity is better preserved in the continuous Fourier domain, we propose to refine the selected frequencies by searching for neighboring non-integer frequency values. Experiments show that the proposed algorithm yields performance improvements of more than 1 dB compared to state-of-the-art compressive light field reconstruction methods. The frequency refinement step also significantly enhances the visual quality of reconstruction results of our method by a 1.8 dB average.     

基于Copula函数的郑州市夏季双重城市热岛及其影响因素关系分析

城市热环境变化影响城市小区域气候，探究影响因子与其作用机制，可有效减缓城市热岛现象。利用郑州市1960～2017年长序列数据，从相对热岛（RHI）和绝对热岛（AHI）两个层面探究驱动因子降雨（R）、蒸发（E）、建成区面积(B_BUA)、城镇化率(U_UR)的影响关系，利用交叉小波和小波相干探究热岛与降雨的雨热关系，采用Copula函数计算影响因子在不同取值条件下与热岛的遭遇概率。结果表明，相对热岛-相对降雨在短中周期、绝对热岛-降雨在短周期上均呈负相关关系，雨热关系不同步，且绝对热岛-降雨的关系最为显著；影响因子B_BUA、U_UR取值越大，R取值越小，则与RHI、AHI的遭遇概率越大；不同影响因子在不同评价层面，敏感性强弱不同，E在不同层面的反馈机制也不同，可见选取合适评价分析层面，有利于准确量化影响程度。     

Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation

Adhesively bonded joints have been extensively employed in the aeronautical and automotive industries to join thin-layer materials for developing lightweight components. To strengthen the structural integrity of joints, it is critical to estimate and improve joint failure loads effectually. To accomplish the aforementioned purpose, this paper presents a novel deep neural network (DNN) model-enabled approach, and a single lap joint (SLJ) design is used to support research development and validation. The approach is innovative in the following aspects: (i) the DNN model is reinforced with a transfer learning (TL) mechanism to realise an adaptive prediction on a new SLJ design, and the requirement to re-create new training samples and re-train the DNN model from scratch for the design can be alleviated; (ii) a fruit fly optimisation (FFO) algorithm featured with the parallel computing capability is incorporated into the approach to efficiently optimise joint parameters based on joint failure load predictions. Case studies were developed to validate the effectiveness of the approach. Experimental results demonstrate that, with this approach, the number of datasets and the computational time required to re-train the DNN model for a new SLJ design were significantly reduced by 92.00% and 99.57% respectively, and the joint failure load was substantially increased by 9.96%.     

Dendrimer as nanocarrier for drug delivery

Dendrimers are novel three dimensional, hyperbranched globular nanopolymeric architectures. Attractive features like nanoscopic size, narrow polydispersity index, excellent control over molecular structure, availability of multiple functional groups at the periphery and cavities in the interior distinguish them amongst the available polymers. Applications of dendrimers in a large variety of fields have been explored. Drug delivery scientists are especially enthusiastic about possible utility of dendrimers as drug delivery tool. Terminal functionalities provide a platform for conjugation of the drug and targeting moieties. In addition, these peripheral functional groups can be employed to tailor-make the properties of dendrimers, enhancing their versatility. The present review highlights the contribution of dendrimers in the field of nanotechnology with intent to aid the researchers in exploring dendrimers in the field of drug delivery.     

Carbon nanotube–polyaniline composites

The last decade has seen a growing interest in hybrid electrically conducting nanocomposites. This article aims to provide a detailed overview of the present status of research in carbon nanotube–polyaniline (CNT/PANI) composites, from processing to structural and property evaluations. CNT/PANI are synthesized by electrochemical and chemical processing. When chemical methods are used, the main challenge is to obtain processable CNT/PANI in the emeraldine salt (ES) form composites. Stable dispersions of ES–CNT in organic media are prepared using the post doping method, inverse emulsion polymerization, or ex situ polymerizations. On the contrary, stable water dispersions of CNT/ES are prepared using hydrophilization of a preformed CNT/ES composite, direct synthesis of micelle–CNT hybrid templates, interfacial polymerization, covalent functionalization of CNT with a water soluble polymer, or using electrostatic interactions between two oppositely charged ES and CNT aqueous colloids. Moreover, the strategies for the synthesis of ternary CNT/PANI composites incorporating noble metal nanoparticles, metal oxide, or graphene sheets are also presented and analyzed in depth. Finally, we give a review of potential applications, including chemical sensors, capacitors, fuel cells and electronic devices.     

基于振动信号的深沟球轴承滚动体故障诊断研究

目前针对滚动轴承内、外圈故障的诊断方法较为有效,但难以诊断滚动体故障。针对这种情况,利用时域统计参数(有效值、峭度、脉冲因数、裕度因数)与Hilbert包络谱两种方法,对不同转速、负荷和故障程度情况下滚动体故障与正常状况的振动加速度数据进行比较分析,得出了滚动体故障难以诊断的原因,并给出了解决方法。     

高纯六氟乙烷中氯化氢的傅里叶变换红外定量分析

电子行业用作清洗和蚀刻的特种气体六氟乙烷对杂质组分HCl的含量要求严格控制在一定范围,本文建立了用傅里叶变换红外光谱仪分析其中HCl杂质的分析方法,并实现了对产品中HCl的定量分析。     

高铝粉煤灰提取氧化铝过程中镓的转化规律研究

研究了镓在高铝粉煤灰提取氧化铝工艺中的迁移转化规律。在主要生产流程中设置取样点,对镓的富集分布情况进行检测分析。结果表明:高铝粉煤灰中的镓有75%进入成品氢氧化铝,碳循环母液中镓的富集浓度最高,达到46.0 mg/L。     

膜极距改造对盐水质量的要求及改进措施

查定了离子膜电解槽膜极距改造时盐水生产系统的各项指标,分析了引起盐水质量波动的各种因素,如一次盐水、二次盐水中的过碱量,pH值,钡、铁、硅、铝、锰、钙、镁、锶各离子含量和氯化钠的含量,以及作为生产原料的原盐、工业水、去离子水、离子膜再生水、脱硝淡盐水、高纯盐酸中的钡、铁、硅、铝、锰、钙、镁等离子的含量,并提出了相应的整改措施。