Mesoporous Co–Mn Spinel Oxides as Efficient Catalysts for Low Temperature Propane Oxidation

Catalysis Letters - A series of mesoporous cobalt–manganese catalysts were successfully synthesized by sol–gel method as efficient catalysts for the propane oxidation. A significant...     

Super-Resolution Reconstruction of Images Based on Microarray Camera

In the field of images and imaging, super-resolution (SR) reconstruction of images is a technique that converts one or more low-resolution (LR) images into a highresolution (HR) image. The classical two types of SR methods are mainly based on applying a single image or multiple images captured by a single camera. Microarray camera has the characteristics of small size, multi views, and the possibility of applying to portable devices. It has become a research hotspot in image processing. In this paper, we propose a SR reconstruction of images based on a microarray camera for sharpening and registration processing of array images. The array images are interpolated to obtain a HR image initially followed by a convolution neural network (CNN) procedure for enhancement. The convolution layers of our convolution neural network are 3×3 or 1×1 layers, of which the 1×1 layers are used to improve the network performance particularly. A bottleneck structure is applied to reduce the parameter numbers of the nonlinear mapping and to improve the nonlinear capability of the whole network. Finally, we use a 3×3 deconvolution layer to significantly reduce the number of parameters compared to the deconvolution layer of FSRCNN-s. The experiments show that the proposed method can not only ameliorate effectively the texture quality of the target image based on the array images information, but also further enhance the quality of the initial high resolution image by the improved CNN.     

基于光纤技术的采空区发火监测系统的应用

基于光纤技术的采空区发火监测系统由传感器、数据传输、数据分析与控制三大部分构成,研发新一代适合煤矿安全领域应用的先进传感器、并以此为基础构建新型煤矿安全灾害监测预警系统,对于实现煤矿安全发展具有十分重要的意义。     

Bamboo biochar-catalytic degradation of lignin under microwave heating

Abstract

Lignin biochar-catalytic depolymerization using biochar Fe-600, Fe-800, Ni-600, Ni-800 catalysts under microwave-heating (180?°C for 30?min) was explored in an ethanol/formic acid (1:1) media. Non-catalyst depolymerization was also studied and compared with the biochar-catalysts results. Characteristics of the bio-char catalysts were analyze by BET, XRD, and FT-IR. GPC, FT-IR, and MALDI-TOF MS spectrometry were also used to characterize the depolymerization products. The experimental results showed that the S_BET, V_t, and V_mec and average pore diameter of the biochars are considerably dependent on the preparation temperature and type of cation (Ni²⁺ or Fe³⁺). The maximum yield of bio-oil product was obtained as 85?wt% with the addition of biochar Ni-600 and the total amount of oligomers or monomers with a molecular weight of 164 to 446 reaches 80.4%.     

一种基于DSP的声学信号采集系统

传统的数据采集器多采用Inte151系列或Inte196系列的CPU，运算能力差，速度慢，精度低，尤其是浮点运算能力限制了技术指标的进一步提高。有鉴于此，各科研单位及数据采集器产家正积极开发新一代的数据采集器。如采用高性能的嵌入式芯片，或带有数字信号处理功能的芯片等。TI公司的TMS320VC33数字信号处理芯片已能支持高达150MFLOPS的运行速度，是需浮点运算的电子产品应用场合中一种较理想的微处理器件。     

BIDPS^＊：基本的循环加深周边搜索算法

ＢＩＤＰＳ＾＊是一种把ＩＤＡ算法和ＰＳ法相结合而产生的人工智能搜索算法。该文研究了不考虑启发式计算最小化技术的搜索效率问题，提出了一些新的算法效率的度量，用８数码难题检验了ＢＩＤＰＳ算法并与ＩＤＡ算法进行了比较分析，实验结果表明尽管ＢＩＤＰＳ启发式计算量较大，但较ＩＤＡ算法在效率上还有所提高的。     

Ultra-strong, well-apodised Bragg gratings in chalcogenide rib waveguides

The first ultra-strong, near-perfect, raised-apodised Bragg gratings in As/sub 2/S/sub 3/ chalcogenide rib waveguides using /spl lambda/=532 nm light and a modified Sagnac holographic writing setup are demonstrated. Good agreement is achieved between the experimental results and the numerical modelling of the gratings using the transfer matrix analysis for thin film structures.     

制革用水乳型聚氨酯涂饰剂行业标准的制定

本文概述了制定该标准的背景，对标准的主要内容加以科学的阐述。     

MKR──一种有效的增量式概念获取系统

本文对示例式学习的ＩＤ５Ｒ算法进行了深入的研究并作了进一步的改进，提高了其计算效率．并提出一种适合于增量式学习的抗干扰机制，拓广了算法的适用范围．