TUD-DNS3脱硝助剂在催化裂化装置的工业应用

TUD-DNS3脱硝助剂在中韩（武汉）石油化工有限公司1号催化裂化装置上进行了工业应用。结果表明：针对两段再生工艺，当系统中助剂占总催化剂藏量的质量分数为2.6%时，烟气脱硫装置外排污水中的氨氮质量浓度由加剂前的100 mg/L下降至40 mg/L以内；助剂的加入降低了CO焚烧炉的炉膛温度，有利于烟气的合格排放，并对装置操作、产品分布及汽油、柴油产品质量无不良影响。     

化学-电解氧化法制备高铁酸钾的研究

本文用化学－电解氧化法制备高铁酸钾，克服了纯化学氧化法产品需要提纯和纯电解氧化法制备周期长的缺点，得到了高纯度的高铁酸钾晶体。     

A new way for multidimensional medical data management: volume of interest (VOI)-based retrieval of medical images with visual and functional features.

The advances in digital medical imaging and storage in integrated databases are resulting in growing demands for efficient image retrieval and management. Content-based image retrieval (CBIR) refers to the retrieval of images from a database, using the visual features derived from the information in the image, and has become an attractive approach to managing large medical image archives. In conventional CBIR systems for medical images, images are often segmented into regions which are used to derive two-dimensional visual features for region-based queries. Although such approach has the advantage of including only relevant regions in the formulation of a query, medical images that are inherently multidimensional can potentially benefit from the multidimensional feature extraction which could open up new opportunities in visual feature extraction and retrieval. In this study, we present a volume of interest (VOI) based content-based retrieval of four-dimensional (three spatial and one temporal) dynamic PET images. By segmenting the images into VOIs consisting of functionally similar voxels (e.g., a tumor structure), multidimensional visual and functional features were extracted and used as region-based query features. A prototype VOI-based functional image retrieval system (VOI-FIRS) has been designed to demonstrate the proposed multidimensional feature extraction and retrieval. Experimental results show that the proposed system allows for the retrieval of related images that constitute similar visual and functional VOI features, and can find potential applications in medical data management, such as to aid in education, diagnosis, and statistical analysis.     

柴油蜡晶的理论形态预测与显微实际形态的比较

采用BFDH模型和AE模型预测柴油中蜡晶的理论形态，与通过相衬光学显微镜在冷环境平台上观察柴油蜡晶在低温下析出的实际形态。以及加入低温流动性改进剂T1804的柴油蜡晶形态进行比较研究。以十八烷晶体和二十三烷晶体作为柴油蜡晶中偶数正构烷烃和奇数正构烷烃的模型化合物，得到它们的晶体理论形态为六面体薄片状晶体。不同降温速率下得到的蜡晶的实际形态与大小均不同。快速降温条件下得到的晶体形态主要为六边形、菱形和其它少数不规则多边形薄片状集合体；慢速降温条件下得到的柴油蜡晶的形态比较完整，为六边形片状，与通过BFDH和AE模型得到的十八烷即偶数正构烷烃的形态比较接近。柴油加T1804后，快速降温时，出现更多细小的无规则晶体，且很快聚集成片状晶体；慢速降温时，出现晶体的数目要多于未加剂柴油，形状不规则，且尺寸小于未加剂柴油。     

ADIC iPlatform智能磁带库体系结构

本文介绍了ADIC iPlatform智能磁带库体系结构。     

利用AutoCAD编制电气CAD

介绍如何利用AutoCAD开发适合电气专业使用的CAD系统，通过编制电气CAD的功能菜单，构造电气元件库，增强CAD的专业性能。编制电气CAD可以有效地统一本单位电气制图标准，方便电气工程师使用CAD进行专业设计。     

磷酸酯类离子液体在燃油深度脱硫中的应用

研究了3种磷酸酯类离子液体,即1,3-二甲基咪唑磷酸二甲酯盐([MM im]DM P)、1-乙基-3-甲基咪唑磷酸二乙酯盐([EM im]DEP)和1-丁基-3-甲基咪唑磷酸二丁酯盐([BM im]DBP)的制备过程,考察了这3种磷酸酯类离子液体对模型油中3-甲基噻吩、苯并噻吩和二苯并噻吩的脱除效果及磷酸酯类离子液体的电化学再生方法。实验结果表明,这3种磷酸酯类离子液体的脱硫能力强弱顺序为:[EM im]DEP>[BM im]DBP[MM im]DM P;且对二苯并噻吩的脱除效果最好,对苯并噻吩的脱除效果次之,对3-甲基噻吩的脱除效果较差。以[EM im]DEP为萃取剂,油剂质量比为1∶1时,经5次萃取后,二苯并噻吩的脱除率可达到99.5%。利用电解法对[EM im]DEP进行了再生,在5~10V电压下电解10h,[EM im]DEP的脱硫率可以达到新鲜[EM im]DEP的90%以上。     

折边锥形封头厚度计算探讨

分析了GB 150-1998《钢制压力容器》中圆筒和折边锥形封头大端的厚度计算公式,认为计算折边锥形封头的厚度时,可只考虑与过渡段相接处的锥壳厚度。     

The Algorithm and Its Application of a Multi-Channel Adaptive Decision-Feedback Equalizer

1　IntroductionOneofthekeyproblemsinhigh speeddigitalradiocommunicationistheInter Symbol Interfer ence (ISI)causedbythemulti pathbetweenthetransmitterandthereceiver.Becauseoftherelativemovementbetweenthereceiverandthetransmitterandthecontinuouschangeoftransmissionmedia,ISIisusuallytime variant.Inthepasttwotothreedecades,abroadstudyofthetype ,structureandadaptivealgorithmofadaptiveequalizershasbeencarriedouttomitigateISI[1～ 7] .Withtheintroductionofadaptiveantennasanddiversityreceptiontec…     

自动立体显示屏高亮度背光模块设计

使用自动立体显示器,用户不需要立体眼镜,裸眼就能看到立体图像.目前主流的液晶自动立体显示器的亮度不够,影响到使用.为了提高亮度,研究新的背光模块设计方法.采用高亮度发光二极管,用菲涅耳透镜和柱透镜使光线集中在用户眼睛上,大幅度提高图像亮度,由于左右眼看到的图像不一致,产生立体感.结合具体的显示器研制背光模块,选择二极管,设计光路和透镜,对光路仿真,探索出设计方法.该方法对自动立体显示器的设计有指导意义.