软锰矿氧化硫化钡制高纯碳酸锰和氢氧化钡工艺研究

软锰矿同硫化钡溶液在较低温度下进行氧化还原反应，当硫化钡含量控制在26-75g／L范围内，软锰矿与硫化钡的物质的量比为2．5-3，反应时间50-60min，软锰矿被硫化钡还原为MnO，其还原率可达93．5％以上；还原后的锰用硫酸浸取，溶液经除杂后，与碳酸铵反应而制成高纯碳酸锰。硫化钡则被氧化为氢氧化钡，经蒸发、结晶而制得入水氢氧化钡，其回收利用率高速95％。     

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.     

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。     

基于CB的串行口和接口板端口程序应用

串行口及接口板端口是计算机通信的主要途径 ,也是目前计算机工程测控中通用的基本方法。C Builder (简称CB)编程语言以其功能完备、开发效率高的特点而成为目前流行的程序开发工具 ,介绍了利用CB语言编写串行口和端口通信的程序的方法 ,并对具体的各方法编写了相应的示例。     

数字电视用中分辨率74cm纯平彩色显像管BC配列不良的分析与对策

通过对74cm中分辨率纯平彩色显像管BC配列局部严重群散不良的调查分析,确定荫罩受力塌陷是主要原因,通过改良设计、工艺优化及其它方面的综合对策,使以上技术难题得到满意的解决,整管不良率由4.78%下降到0.172%。     

ADN氧化剂的合成及其在推进剂中的应用

综述了ADN的合成、性质及其在推进剂中的应用，认为球形ADN具有能量高、感度低、特征信号低，对环境无污染等优点，将其作为氧化剂在高能低特征信号推进剂中有着广阔的应用前景。     

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。     

焊膏工艺性要求及性能检测方法

焊膏是SMT工艺中不可缺少的钎焊材料,广泛应用于再流焊中;它是由一定的合金粉末和助焊剂均匀混合而成的膏状体。主要对SMT中焊膏的组成及焊膏性能检测方法进行了简要分析。     

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…