高温压力管道红外热成像检测技术

建立了大型管道试验装置，并对带有不同几何尺寸内部开孔缺陷的四种不锈钢和20钢管进行了红外热成像检测试验。结果表明，红外热成像技术十分适用于检测高温压力管道内部腐蚀缺陷，检测灵敏度能够满足压力管道安全运行的要求。     

Oxidation behaviour of the alloy IC-6 and protective coatings

In this work, NiCoCrAlY coatings were deposited on a new Ni-base alloy, IC-6. The oxidation kinetic curves of alloy IC-6, K17 and NiCoCrAlY coatings on alloy IC-6 at 900-1100 °C were obtained. The results indicated that the oxide scales consisted of α-Al₂O₃, NiAl₂O₄, NiO, as well as a small amount of NiMoO₄ and MoO₂. These scales occurred after alloy IC-6 exposure at 900 °C for 100 h. The weight loss occurred when alloy IC-6 were exposed at 1050 and 1100 °C due to the formation of volatile MoO₃. After the NiCoCrAlY coating was deposited, the scales mainly contained α-Al₂O₃, when the specimens were oxidized at 900 °C, and α-Al₂O₃and Cr₂O₃ at 1050 °C. The formation of α-Al₂O₃ and Cr₂O₃ scales on NiCoCrAlY coating was directly responsible for improving oxidation resistance of the alloy IC-6.     

焊后真空热处理对BT20钛合金激光焊接接头性能的影响

研究了焊后真空热处理对BT20合金CO2激光和YAG激光焊接接头性能的影响。研究结果表明：真空热处理前，BT20钛合金激光焊接接头的抗拉强度和延伸率基本与母材相当，而接头各区域的显微硬度高于母材。焊后真空热处理能显著降低激光焊接接头中的残余应力并改善其分布状态，同时对焊接接头的性能影响不大。焊后真空热处理对YAG激光焊接接头性能的影响较CO2激光焊接接头敏感，其原因在于焊后真空热处理对YAG激光焊缝中的α'针状马氏体的影响较显著。     

激光重熔镍基合金复合涂层组织和性能

研究了激光重熔Ni60 20% WC喷涂层的组织和性能,通过对涂层显微组织、硬度、耐磨性等试验的结果分析表明:火焰喷涂后的Ni基WC喷涂层经激光重熔处理后,涂层中有新的硬质相和共晶组织形成,WC均匀地分布在涂层中.涂层中除了包含γ固溶体外,还有WC,W2C,Ni3B,CrB,Cr7C3,Cr23C6,Cr2B,(Fe,Ni)23C6等硬质相和化合物.这些化合物有效地改善了涂层的组织和性能,得到了硬度和耐磨性较好的喷涂层.涂层表面的硬度值可以达到HRC60,涂层截面的显微硬度可以达到800 HV.     

声发射源特征识别的最新方法

介绍多传感器数据融合、时频能量模式分析及分析理论识别声发射源特征的方法，说明基于波形分析的现代信号处理技术是揭示声发射源及信号传播规律的重要手段。     

埋地管道常规防腐应用分析

对环氧粉末及3PE等防腐材料的特点进行了论述，对其存在的技术问题和人为因素进行了剖析，希望引起管道安装和管理部门对防腐技术的高度重视，保证我国的防腐市场健康向上。稳步发展。     

Distilled Collections from Textual Image Queries

We present a distillation algorithm which operates on a large, unstructured, and noisy collection of internet images returned from an online object query. We introduce the notion of a distilled set, which is a clean, coherent, and structured subset of inlier images. In addition, the object of interest is properly segmented out throughout the distilled set. Our approach is unsupervised, built on a novel clustering scheme, and solves the distillation and object segmentation problems simultaneously. In essence, instead of distilling the collection of images, we distill a collection of loosely cutout foreground “shapes”, which may or may not contain the queried object. Our key observation, which motivated our clustering scheme, is that outlier shapes are expected to be random in nature, whereas, inlier shapes, which do tightly enclose the object of interest, tend to be well supported by similar shapes captured in similar views. We analyze the commonalities among candidate foreground segments, without aiming to analyze their semantics, but simply by clustering similar shapes and considering only the most significant clusters representing non‐trivial shapes. We show that when tuned conservatively, our distillation algorithm is able to extract a near perfect subset of true inliers. Furthermore, we show that our technique scales well in the sense that the precision rate remains high, as the collection grows. We demonstrate the utility of our distillation results with a number of interesting graphics applications.     

Real-time congestion prediction for urban arterials using adaptive data-driven methods

Multimedia Tools and Applications - Congestion prediction can support traffic departments to take effective traffic management measures, and it aids users to adopt smarter trip strategies,...     

Privacy Preserving Geo-Linkage in the Big Urban Data Era

Big data technologies and a range of Government open data initiatives provide the basis for discovering new insights into cities; how they are planned, how they managed and the day-to-day challenges they face in health, transport and changing population profiles. The Australian Urban Research Infrastructure Network (AURIN – www.aurin.org.au) project is one example of such a big data initiative that is currently running across Australia. AURIN provides a single gateway providing online (live) programmatic access to over 2000 data sets from over 70 major and typically definitive data-driven organizations across federal and State government, across industry and across academia. However whilst open (public) data is useful to bring data-driven intelligence to cities, more often than not, it is the data that is not-publicly accessible that is essential to understand city challenges and needs. Such sensitive (unit-level) data has unique requirements on access and usage to meet the privacy and confidentiality demands of the associated organizations. In this paper we highlight a novel geo-privacy supporting solution implemented as part of the AURIN project that provides seamless and secure access to individual (unit-level) data from the Department of Health in Victoria. We illustrate this solution across a range of typical city challenges in localized contexts around Melbourne. We show how unit level data can be combined with other data in a privacy-protecting manner. Unlike other secure data access and usage solutions that have been developed/deployed, the AURIN solution allows any researcher to access and use the data in a manner that meets all of the associated privacy and confidentiality concerns, without obliging them to obtain ethical approval or any other hurdles that are normally put in place on access to and use of sensitive data. This provides a paradigm shift in secure access to sensitive data with geospatial content.     

基于灰关联混合蛙跳算法的雷达波形设计

提出了一种基于灰关联混合蛙跳算法的雷达波形设计方法,以混合蛙跳算法为主体,在局部更 新算子中引入遗传算法的遗传算子,并改进原始蛙跳算法的分组方法,丰富了种群的多样性,同时引入灰关联综合评价法则对适应度函数值加以关联度分析。文中以设计具有低自相关旁瓣和互相关特性的正交多相编码为例,将该算法用于雷达波形设计中。仿真结果表明使用本文算法产生 的波形具备较好的低自相关特性和互相关特性,表明了该算法是有效和可行的。