Image Super-Resolution Based on Generative Adversarial Networks: A Brief Review

Single image super resolution (SISR) is an important research content in the field of computer vision and image processing. With the rapid development of deep neural networks, different image super-resolution models have emerged. Compared to some traditional SISR methods, deep learning-based methods can complete the superresolution tasks through a single image. In addition, compared with the SISR methods using traditional convolutional neural networks, SISR based on generative adversarial networks (GAN) has achieved the most advanced visual performance. In this review, we first explore the challenges faced by SISR and introduce some common datasets and evaluation metrics. Then, we review the improved network structures and loss functions of GAN-based perceptual SISR. Subsequently, the advantages and disadvantages of different networks are analyzed by multiple comparative experiments. Finally, we summarize the paper and look forward to the future development trends of GAN-based perceptual SISR.     

Corrosion behavior of Cu–Sn bronze alloys in simulated archeological soil media

The corrosion behavior of synthetic Cu–Sn bronze alloys with six different Sn contents was examined through an electrochemical test and a synthetic test in a simulated corrosive medium. The mechanism of corrosion and the morphology of the corroded surfaces were characterized through field emission scanning electron microscopy equipped with energy-dispersive spectroscopy. At the corrosion potential, the corrosion behavior appears to be determined by the charge transfer step and the diffusion process. It was found that the bronze-IV (Cu–26.8Sn) specimen exhibited the best corrosion resistance, as evidenced by a low corrosion current density and a high impedance. This improvement resulted from an increase in the content of the Cu–Sn solid solution in the alloy, which was conducive to forming a relatively more protective passive film on the surface of the bronze alloy. This finding would be valuable in the anticorrosion protection of archeological artefacts after their excavation.     

Facile construction of composition-tuned ruthenium-nickel nanoparticles on g-C3N4 for enhanced hydrolysis of ammonia borane without base additives

Developing high-efficiency and low-cost catalysts for hydrogen evolution from hydrolysis of ammonia borane (AB) is significant and critical for the exploitation and utilization of hydrogen energy. Herein, the in-situ fabrication of well-dispersed and small bimetallic RuNi alloy nanoparticles (NPs) with tuned compositions and concomitant hydrolysis of AB are successfully achieved by using graphitic carbon nitride (g-C₃N₄) as a NP support without additional stabilizing ligands. The optimized Ru₁Ni_7.5/g-C₃N₄ catalyst exhibits an excellent catalytic activity with a high turnover frequency of 901 min^?1 and an activation energy of 28.46 kJ mol^?1 without any base additives, overtaking the activities of many previously reported catalysts for AB hydrolysis. The kinetic studies indicate that the AB hydrolysis over Ru₁Ni_7.5/g-C₃N₄ is first-order and zero-order reactions with respect to the catalyst and AB concentrations, respectively. Ru₁Ni_7.5/g-C₃N₄ has a good recyclability with 46% of the initial catalytic activity retained even after five runs. The high performance of Ru₁Ni_7.5/g-C₃N₄ should be assigned to the small-sized alloy NPs with abundant accessible active sites and the synergistic effect between the composition-tuned Ru–Ni bimetals. This work highlights a potentially powerful and simple strategy for preparing highly active bimetallic alloy catalysts for AB hydrolysis to generate hydrogen.     

高温旋风除尘器的设计

在PTA(精对苯二甲酸)的生产过程中,工艺废气经尾气膨胀透平机降压后进入RTO蓄热式焚烧炉将有毒有害的有机物焚烧分解后排入大气,为了达到粉尘的排放标准(小于120mg/m~3),在焚烧炉之后加上这台高温烟气除尘器,废气经除尘后达到了排放标准,而且最大程度地减少了热量损失,实践证明此项改造是成功的。文章探讨如何进行高温烟气除尘器的设计,并介绍了高温多管陶瓷旋风烟气除尘器的结构。     

试油井选层压裂新工艺及现场试验

设计新型可洗井封隔器，保障油井有反洗井通道，有效防止封隔器以上砂埋所引发的管柱砂卡事故，并对新型封隔器、控制开关、密封接头、同心大通径压力计托筒等井下工具组合优化。解决了多层油井任意选层压裂、求产、测井温一体化的难题。     

改性纳米TiO2光催化降解苯酚活性的研究

在装有紫外光的光催化反应器中，用锐钛型纳米TiO2为光催化剂，进行了苯酚水溶液的光催化降解性能的研究。考察了溶液的pH值、纳米TiO2用量、镍（Ni^2＋）掺杂量、苯酚的初始质量浓度等因素对苯酚水溶液光催化降解过程的影响。结果表明，在pH值为7时，苯酚水溶液的降解率达95％以上，强酸和强碱条件均不利于苯酚的降解。当TiO2用量为50mg，UV辐照40min时，200mL质量浓度为50mg／L的苯酚水溶液的降解率为96．3％；当TiO2用量为150mg，UV辐照60min时，200mL质量浓度100mg／L的苯酚水溶液的降解率为95．8％。镍掺杂增加了TiO2的光催化活性，用质量分数为10％的二氯化镍水溶液掺杂制备的复合光催化剂，苯酚水溶液的降解率比未掺杂时增加13．6％。     

6种金属材料在典型工业大气中的腐蚀规律

选取具有代表性的碳钢、不锈钢、镀锌碳钢、铝、钛和铜挂片,在某企业不同部位投放后进行为期半年的大气腐蚀试验,得出了在半年期中的腐蚀规律。在此基础上,对每种金属材料的腐蚀特点进行总结,并对大气腐蚀的各种影响因素进行分析,提出了行之有效的防护措施。     

施工过程中腐蚀隐患的控制

通过分析石化装置施工过程中常见的现象,分析产生由这些现象加重腐蚀的原因和机理, 指出应加强施工过程中的控制,而达到预期的防腐蚀效果,消除腐蚀隐患。     

Design of 5.9 ghz dsrc-based vehicular safety communication

The automotive industry is moving aggressively in the direction of advanced active safety. Dedicated short-range communication (DSRC) is a key enabling technology for the next generation of communication-based safety applications. One aspect of vehicular safety communication is the routine broadcast of messages among all equipped vehicles. Therefore, channel congestion control and broadcast performance improvement are of particular concern and need to be addressed in the overall protocol design. Furthermore, the explicit multichannel nature of DSRC necessitates a concurrent multichannel operational scheme for safety and non-safety applications. This article provides an overview of DSRC based vehicular safety communications and proposes a coherent set of protocols to address these requirements     

微构造的地震识别与应用效果

胜利油田的油气勘探具有较大的剩余勘探潜力，且大部分油气蕴藏在微构造油气藏中。微构造油气藏在胜利油田的勘探开发老区均有分布，纵向上从沙四段到东营组均有发育。该类油气藏埋深浅、储层物性好、产量高，具有较高的经济效益。微构造油气藏在国内外研究较少，国内外较注重目的层沉积微构造的研究，且主要是沉积微构造对注采关系的影响。在对复杂断块的精细研究中，以前研究的重点也主要集中在应用钻井资料对断层的成因和对断层封堵性的研究上，而对微构造圈闭的成因、识别及成图，一直没有进行系统的分类研究。文章划分了微构造的类型，研究了微构造的特点，并认为构造作用、沉积作用和后期改造作用是微构造形成的３种主要原因。同时，利用地震资料对微构造圈闭的识别方法和描述技术进行了探索，形成了一套具有针对性的技术系列，取得了显著的效果，这对油气田老区的滚动勘探开发具有重要的意义。