边缘AI的霜雪识别系统设计与实现

为提高霜雪识别系统的识别率,开展了基于边缘AI的霜雪识别系统设计。综合海思嵌入式处理器Hi3559A高算力、低功耗特点,硬件部分采用模块复用的方法降低功耗和资源消耗,软件部分,从模型训练、模型量化、模型部署入手对MobileNetV2图像分类网络和ISP自适应处理算法进行改进,最终识别率99.7%,预处理时间0.3 s,图像分类时间0.8 s,模组平均功率2 W,鲁棒性好、性能稳定。由此可见Hi3559A智能相机模组可有效纠正雪深探测仪的疑误数据。     

Mn/Ti-Zr复合氧化物催化苯甲酸甲酯选择性加氢

以硝酸锆和钛酸四丁酯为原料,采用共沉淀法制备Ti-Zr-O氧化物载体,采用浸渍法制备了Mn/Ti-Zr催化剂;采用XRD、N2物理吸附、H2-TPR、NH3-TPD和TG-DTA对Mn/Ti-Zr催化剂进行了表征,并考察了催化剂组成、结构和反应条件对苯甲酸甲酯（MB）加氢性能的影响,以及催化剂的长周期稳定性、失活和再生行为。结果表明：TiO2含量和Mn负载量分别为12% 和8% （二者均以Ti-Zr-O氧化物的质量为基准,下同）时制备的Mn/Ti-Zr催化剂性能最优,该催化剂在θ = 390 ℃, p = 1.0 MPa,n(H2)∶n(MB) = 9∶1和重时空速（WHSV）= 0.5 h-1的优化条件能够实现98.0% 的苯甲酸甲酯转化率和89.7%的苯甲醛和苯甲醇选择性;苯甲酸甲酯加氢反应的活性和选择性分别与Mn/Ti-Zr表面MnOx物种的氧化还原性和催化剂的酸性密切相关。此外,Mn/Ti-Zr催化剂具有良好的结构稳定性,在反应1000 h后仅因积碳而丧失11% 的活性,且轻微失活的催化剂可以通过焙烧恢复其初始活性和选择性。     

Ce对共晶Mg-Al合金组织的影响

模拟AZ9l镁合金半固态液相凝固后期的成分，分析了共晶成分镁铝合金添加不同含量的稀土元素Ce后，铸态显微结构的变化。结果表明：Ce的加入改变了合金的组织，增加了初晶α相的含量，细化了β相并减少了β相的含量。随着稀土Ce加入量的增加，在Ce的加入量为0．6％时，所得的组织最好；在Ce含量大于0．6％时，随着Ce加入量的增加，细化效果反而变差。     

稀土变质处理对低合金铸钢组织和性能的影响

变质处理对耐磨铸钢组织和性能有重要的影响,选择合理的变质处理工艺是提高低碳铸钢耐磨性能的重要手段。用稀土硅铁合金对低合金耐磨铸钢进行变质处理,研究了变质剂加入量对铸钢的硬度和冲击韧性的影响。结果表明：当1#稀土硅铁合金加入量为0.25%时,低合金钢的晶粒细化;在控制冷却的条件下,能稳定地得到上贝氏体＋下贝氏体＋马氏体的复合组织。适量稀土硅铁的加入可以有效地改善低合金铸钢的微观组织、提高低合金耐磨铸钢的力学性能,但稀土加入量不足或过量会使铸钢的性能降低。     

Quantum DCS系统及其应用体会

中国联合水泥公司3000t／d熟料生产线电气控制系统采用了法国施耐德公司的Quantum DCS系统，实现对全厂所有设备的工艺操作和控制。全面介绍了QuantumDCS系统的特点、功能系统构成网络，并详细总结了确保该系统稳定可靠运行的使用和维护的经验。     

Impact of Spatial Data Availability on Climate Change Prediction in the Weyib River Basin in Ethiopia

Impact of spatial data availability on the temperature and precipitation prediction characteristics of Weyib River basin in Ethiopia has been investigated using CMIP5-CanESM2 model for the RCP8.5, RCP4.5 and RCP2.6 scenarios. The objective of the present study is to characterize how future temperatures and precipitation prediction under CMIP5-CanESM2 model output varies against diverse averaged arbitrary spatial weather stations found in the basin. The statistical downscaling model tested and verified using the observed daily data for twelve, six and three averaged arbitrary spatial weather stations as well as for a single weather station was used to predict the future climate scenarios. The results revealed that the mean annual daily maximum and minimum temperature and precipitation for twelve, six and three arbitrary spatial stations have revealed an increasing trend in the upcoming periods until the end of the century. In single station analysis, the trend itself has changed from increasing trend to decreasing trend in case of maximum and minimum temperature. In case of precipitation, no visible trend has been observed in case of single station analysis. Therefore, the variation in amount and distribution of precipitation and temperature among the four averaged spatial stations in the same study area might affect the water resources and agriculture of the basin and also instead of using a single weather station to predict future climate variables for a particular study basin, it is more reliable using averages of numerous spatial weather stations data.     

朗盛:助力涂料行业客户提升竞争力——朗盛携高品质颜料和杀菌剂亮相2007中国国际涂料展

朗盛,作为全球领先的特殊化学品企业,每年以不同的形象亮相于中国国际涂料展。2007年,朗盛以一系列用于涂料行业的高品质颜料和杀菌剂亮相,以期助力中国涂料行业客户提升竞争力。期间,本刊特对朗盛无机颜料业务部亚太区负责人韩乐福博士及材料保护品大中华区负责人顾其峰就朗盛产品及市场方面进行了专访。     

A Simple D 2-Sampling Based PTAS for k-Means and Other Clustering Problems

Given a set of points \(P \subset\mathbb{R}^{d}\) , the k-means clustering problem is to find a set of k centers \(C = \{ c_{1},\ldots,c_{k}\}, c_{i} \in\mathbb{R}^{d}\) , such that the objective function ∑ _x∈P e(x,C)², where e(x,C) denotes the Euclidean distance between x and the closest center in C, is minimized. This is one of the most prominent objective functions that has been studied with respect to clustering. D ²-sampling (Arthur and Vassilvitskii, Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA’07, pp. 1027–1035, SIAM, Philadelphia, 2007) is a simple non-uniform sampling technique for choosing points from a set of points. It works as follows: given a set of points \(P \subset\mathbb{R}^{d}\) , the first point is chosen uniformly at random from P. Subsequently, a point from P is chosen as the next sample with probability proportional to the square of the distance of this point to the nearest previously sampled point. D ²-sampling has been shown to have nice properties with respect to the k-means clustering problem. Arthur and Vassilvitskii (Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA’07, pp. 1027–1035, SIAM, Philadelphia, 2007) show that k points chosen as centers from P using D ²-sampling give an O(logk) approximation in expectation. Ailon et al. (NIPS, pp. 10–18, 2009) and Aggarwal et al. (Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, pp. 15–28, Springer, Berlin, 2009) extended results of Arthur and Vassilvitskii (Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA’07, pp. 1027–1035, SIAM, Philadelphia, 2007) to show that O(k) points chosen as centers using D ²-sampling give an O(1) approximation to the k-means objective function with high probability. In this paper, we further demonstrate the power of D ²-sampling by giving a simple randomized (1+?)-approximation algorithm that uses the D ²-sampling in its core.     

P450酶启发的染料后修饰铁卟啉MOF光催化氧化

受细胞色素P450酶氧化代谢的启发,将染料酸性红87（Acid Red 87）后修饰到金属有机框架PCN-222(Fe)中,构筑非均相拟酶光催化剂Acid Red 87@PCN-222(Fe),拉近染料与铁卟啉中心的距离,利用光致电子转移模拟P450的电子传递链。以1-(4-甲氧基苯基)乙醇为模板底物,对光催化氧化的条件如溶剂、电子牺牲剂、氧源等进行筛选,得到优化反应条件为高碘酸钠(53.5 mg, 0.25 mmol),2,6-二甲基吡啶三氟甲磺酸盐(64.3 mg, 0.25 mmol),Acid Red 87@PCN-222(Fe)(12.0 mg, 0.00625 mmol),乙腈(2 mL),530 nm波长LED光照反应24 h。催化剂重复使用3次后仍保持活性和晶态结构。该催化体系对苄基碳氢键氧化具有良好的底物适用范围,可应用于非甾体类抗炎药匹美诺芬的区位选择性氧化，产率为48%，该体系还可将芳基硫醚类化合物氧化至相应的亚砜，体现其在精细化工制药、工业脱硫领域的应用潜质。