Effect of storage temperature on phenolics stability in hawthorn (Crataegus pinnatifida var. major) fruits and a hawthorn drink

The stability of five major phenolics, namely (−)-epicatechin (EC), procyanidin B₂ (PC-B₂), chlorogenic acid (ChA), hyperoside (HP) and isoquercitrin (IQ), in hawthorn fruits and a canned hawthorn drink were evaluated during 6 months of storage in the dark at three different temperatures (4, 23 and 40 °C). HPLC with a diode-array detector was used to determine the contents of the individual compounds. The results showed that the studied phenolics in the hawthorn fruits and the drink were both stable at 4 °C and relatively unstable at 23 and 40 °C with varied extents of degradation. At room temperature (23 °C), marked degradations of EC and PC-B₂ were observed in both the fruits and the drink with around 50% and 30% decrease after a 6-month storage, respectively. A more significant decrease of the phenolics was observed at 40 °C, especially for EC and PC-B₂, which were almost completely degraded after a 6-month storage. HP, IQ and ChA were relatively stable at 23 °C, but unstable at 40 °C. Therefore, low-temperature storage is recommended for maintaining the quality and efficacy of hawthorn fruits and its preparations.     

Thermoelastic evaluation of composite laminates using digital imaging processing

The study of the variation of the curvature of non-symmetric composite laminates with temperature provides a measure of the magnitude of the thermal stresses and the mechanical behavior of the material with temperature. In the present work, an experimental method based on the pioneer use of a digital camera and image processing method is proposed to perform such measurements. Taking advantage of the method and by comparing experimental and CLT, extended-CLT and FEM simulation results, an evaluation of the residual stresses is described and an approach providing more precise determination of the residual thermal stresses in non-symmetric laminates is proposed.     

Visualization of Thermo-Hydrodynamic Behavior in Flat-Plate Pulsating Heat Pipe with HFE-347

In this paper,the visualization of the thermo-hydrodynamic behavior in flat-plate pulsating heat pipe (FP-PHP) with HFE-347 is experimentally investigated.The F...     

Weighted 3D GS Algorithm for Image-Qquality Improvement of Multi-Plane Holographic Display

Theoretically,three-dimensional(3D) GS algorithm can realize 3D displays;however,correlation of the output image is restricted because of the interaction among multiple planes,thus failing to meet the image-quality requirements in practical applications.We introduce the weight factors and propose the weighted 3D GS algorithm,which can realize selective control of the correlation of multi-plane display based on the traditional 3D GS algorithm.Improvement in image quality is accomplished by the selection of appropriate weight factors.     

网间安全隔离技术分析研究

随着互联网的普及和电子政务在日常工作、学习和生活的普遍使用,网络信息安全的重要性愈发引人关注,保证网络信息的安全已成为推进社会网络化的重点,网络隔离技术也成为了网络安全技术发展的一个关注点。文中系统地分析了现有的网络隔离技术现状及不足,并提出一种新的基于可信计算技术的网间安全隔离方案。与传统的方案相比,新方案不仅更加简洁、灵活,同时较大提高了系统的安全性。     

一种低复杂度超宽带通信系统

超宽带通信系统首先要解决的问题是降低系统的功耗和硬件的复杂度。在研究基于TR技术的超宽带通信系统的基础上,提出一种降低ADC实现复杂性的方法,同时对ADC和AGC联合设计,降低超宽带通信系统实现的复杂性。仿真的结果表明,提出的ADC实现方法和传统的2 b ADC的性能相当,但复杂度降低;在前导序列时间内AGC能完成信号的合理放大,使之满足信号的接收解调需要,而在信息数据解调期间不用调整AGC的增益。     

Content adaptive video denoising based on human visual perception

In this paper, we propose content adaptive denoising in highly corrupted videos based on human visual perception. We introduce the human visual perception in video denoising to achieve good performance. In general, smooth regions corrupted by noise are much more annoying to human observers than complex regions. Moreover, human eyes are more interested in complex regions with image details and more sensitive to luminance than chrominance. Based on the human visual perception, we perform perceptual video denoising to effectively preserve image details and remove annoying noise. To successfully remove noise and recover the image details, we extend nonlocal mean filtering to the spatiotemporal domain. With the guidance of content adaptive segmentation and motion detection, we conduct content adaptive filtering in the YUV color space to consider context in images and obtain perceptually pleasant results. Extensive experiments on various video sequences demonstrate that the proposed method reconstructs natural-looking results even in highly corrupted images and achieves good performance in terms of both visual quality and quantitative measures.     

Optimal-correlation-based reconstruction for distributed compressed video sensing

Distributed compressed video sensing (DCVS) is a framework that integrates both compressed sensing and distributed video coding characteristics to achieve a low-complexity video coding. However, how to design an efficient joint reconstruction by leveraging more realistic signal models is still an open challenge. In this paper, we present a novel optimal-correlation-based reconstruction method for compressively sampled videos from multiple measurement vectors. In our method, the sparsity is mainly exploited through inter-signal correlations rather than the traditional frequency transform, wherein the optimization is not only over the signal space to satisfy data consistency but also over all possible linear correlation models to achieve minimum-l₁-norm correlation noise. Additionally, a two-phase Bregman iterative based algorithm is outlined for solving the optimization problem. Simulation results show that our proposal can achieve an improved reconstruction performance in comparison to the conventional approaches, and especially, offer a 0.7–9.9 dB gain in the average PSNR for DCVS.