非完整复曲线的坐标计算

复曲线两交点间未设置基线而采用两圆曲线的切线交叉连接,是高速公路中较特殊线路形式.本文通过对非完整复曲线的分析、研究,介绍了在进行此类复曲线放样前所用的坐标计算方法.     

基于多尺度特征融合的超分辨率重建算法研究

超分辨率重建技术可以提高图像质量,使原图像具有更丰富的细节信息。针对现有的超分辨率重建算法存在提取特征单一、不利于对图像信息进一步提取的问题,提出了一种基于多尺度特征融合的超分辨率重建算法。采用多特征提取模块获取更多浅层信息,并在网络中添加密集连接结构,增强特征的传播,减少相关参数计算,减轻梯度消失问题。在Set5和Set14基准数据集上进行了测试,并在电力巡检数据集上进一步验证了算法的有效性。与主流的超分辨率重建方法进行了对比,实验结果表明,该方法生成的图像有更加丰富的细节信息,能够有效地改善图像质量,峰值信噪比与结构相似度值较其他主流算法均有一定的提高。     

木材-金属复合材料的研究现状

木材-金属复合材料综合了木材和金属的优点,具有一系列优良的特性,如耐磨、耐热及电磁屏蔽等,木材金属的复合是实现木材高性能化和功能化、提高木材附加值的重要方法之一,为木材和金属都提供了新的发展空间,已开发的木材-金属复合材料的品种有金属化木材、金属覆面板、复合管及表面金属化木材等,     

数控加工复合循环功能与子程序编程的特点及其应用

零件的数控加工,为了简化数控加工程序,既可以利用复合循环功能编程,又可以应用子程序技术编程.通过对复合循环功能编程与子程序编程的比较得知,应用子程序编程利大于弊,有利于保证零件的加工质量,提高加工效率,降低生产成本.     

Effect of Soaking Conditions and Fuzzy Analytical Method for Producing the Quick-Cooking Black Jasmine Rice

The quick-cooking rice product is an interesting product for the market which is easy to cook, with good sensorial qualities and health benefits. This work aimed to study the effect of the soaking conditions, namely baking powder concentration (0.1, 0.2, or 0.3%), soaking temperature (room temperature, 50 or 60 °C), and soaking time (10, 20, or 30 min), in order to improve the physical properties and also the sensory characteristics, with high bioactive compound content, of Quick-Cooking Black Jasmine Rice (QBJR). The physical properties of the final product, namely the rehydration capacity, morphology, and texture, were observed. Moreover, the total phenolic, total flavonoid, and total anthocyanin were determined. The results showed that the samples with a high baking powder concentrations soaked at high temperatures for longer time affect the low rehydration capacity with a high hardness value and a decreased bioactive compound content. In addition, the sensory score including softener, flavor, and overall acceptance were lower score. Moreover, to determine the best soaking condition with complex data, the Fuzzy Analytical Method (FAM) was performed by an online FAM program. The results showed that soaking at room temperature for 30 min in 0.1% of baking powder showed the highest overall performance index of 6.52.     

基于视觉特性的自适应加权水印算法的研究

文章提出了一种基于人类视觉特性的加权水印算法.该算法结合视觉系统特性等诸多因素,合理地设计了水印在图像中的能量分布系数,增强了水印的透明性和稳健性.实验证明该算法是有效的.     

ZnSe薄膜的化学反应辅助热壁外延法生长及特性研究

本文通过将新型化学气相反应促进剂Zn(NH4)3Cl5引入到热壁外延系统中,以二元素单质Zn和Se为原料,直接在Si(111)衬底上生长了高质量的ZnSe晶体薄膜,薄膜成分接近理想化学计量比。研究了主要工艺参数对薄膜生长形貌和性能的影响。采用SEM、AFM、EDS和PL谱技术研究了生长的ZnSe薄膜的形貌、成分和发光特性。研究结果表明,热壁温度和生长时间是影响ZnSe薄膜形貌的主要因素;气相反应促进剂在薄膜生长和调节成分方面扮演了关键角色,Zn(NH4)3Cl5的存在使得Zn(g)和Se2(g)合成ZnSe晶体的反应转变为气固非一致反应,从而更容易获得近乎理想化学计量比的ZnSe薄膜。ZnSe薄膜在氦镉激光激发下,室温下PL谱由近带边发射和(VZn-ClSe)组合的SA发光组成,而在飞秒激光激发下,仅在481nm处显示出强烈的双光子发射峰。     

邻硝基苯胺还原关环一步法合成苯并咪唑类化合物

邻硝基苯胺( 1〖STBZ〗, 4〖STBZ〗)与芳香醛( 2〖STBZ〗〖WTHZ 〗a 〖WTHZ〗c )在连二亚硫酸钠存在下共热,发生还原关环反应, 一步即可合成苯并咪唑类化合物( 3〖STBZ〗〖WTHZ〗a 〖WTHZ〗c〖WTBZ 〗, 5〖STBZ〗〖WTHZ〗a 〖WTHZ〗c ).当起始物中含有不止一 个 硝基时,连二亚硫酸钠对硝基的还原有选择性.反应以乙醇 水为溶剂,水可加速反应进程.     

Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval

Cross-lingual document retrieval, which aims to take a query in one language to retrieve relevant documents in another, has attracted strong research interest in the last decades. Most studies on this task start with cross-lingual comparisons at the word level and then represent documents via word embeddings, which leads to insufficient structure information. In this work, the cross-lingual comparison at the document level is achieved through the cross-lingual semantic space. Our method, MDL (deep multilabel multilingual document learning), leverages a six-layer fully connected network to project cross-lingual documents into a shared semantic space. The semantic distances can be calculated when the cross-lingual documents are transformed into embeddings in semantic space. The supervision signals are automatically extracted from the data and then used to construct the semantic space via a linear classifier. The ambiguity of manual labels could be avoided and the multilabel supervision signals can be acquired instead of a single label. The representation of the semantic space is enriched by multilabel supervision signals, which improves the discriminative ability of the embeddings. The MDL is easy to extend to other fields since it does not depend on specific data. Furthermore, MDL is more efficient than the models training all languages jointly, since each language is trained individually. Experiments on Wikipedia data showed that the proposed method outperforms the state-of-the-art cross-lingual document retrieval methods.     

Analysis of Plant–Plant Interactions Reveals the Presence of Potent Antileukemic Compounds

A method to identify anticancer compounds in plants was proposed based on the hypothesis that these compounds are primarily present in plants to provide them with an ecological advantage over neighboring plants and other competitors. According to this view, identifying plants that contain compounds that inhibit or interfere with the development of other plant species may facilitate the discovery of novel anticancer agents. The method was developed and tested using Magnolia grandiflora, Gynoxys verrucosa, Picradeniopsis oppositifolia, and Hedyosmum racemosum, which are plant species known to possess compounds with cytotoxic activities. Plant extracts were screened for growth inhibitory activity, and then a thin-layer chromatography bioautography assay was conducted. This located the major antileukemic compounds 1, 2, 4, and 5 in the extracts. Once the active compounds were located, they were extracted and purified, and their structures were determined. The growth inhibitory activity of the purified compounds showed a significant correlation with their antileukemic activity. The proposed approach is rapid, inexpensive, and can easily be implemented in areas of the world with high biodiversity but with less access to advanced facilities and biological assays.