信息融合的飞机识别方法

以信息融合的理论为基础，利用从可见光图像序列和8-12μm长波红外图像序列中提取的信息对不同种类飞机进行识别。采用矩特征并结合BP神经网络的方法，分别在特征级和决策级两个不同层次上实现了信息融合。实验结果表明，通过信息融合进行飞机识别的准确率可达到90％以上。     

箱体零件CAD／CAPP／CAM集成系统的研究与实践

在ＣＩＭＳ环境下，针对箱体零件ＣＡＤ、ＣＡＰＰ、ＣＡＭ信息集成的功能需求，在基于特征的箱体零件信息模型、工艺计划模型与服务于工艺设计的制造环境模型的支持下，开发出了特征造型，工艺设计及加工过程仿真与ＮＣ编程等子系统，从而完成了一个集成化的箱体零件ＣＡＤ／ＣＡＰＰ／ＣＡＭ系统。     

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吐哈油田在总结国内成功经验的基础上，立足先进适用，配套可靠，相继在鄯善、温米、丘陵三大油田建成了鄯善１０＃、鄯善３０＃、温米５０＃、丘陵１２０＃轻烃回收装置，形成了２１０×１０４ｍ３／ｄ的处理规模。根据吐哈油田天然气的物理性质、压力、外输压力要求，采用低温分离法。在轻烃回收发展过程中，经不断完善和改进，现已形成燃气引擎往复式压缩机；分子筛脱水；多股流冷箱换热；重烃逐级降压闪蒸提馏脱水技术；丙烷制冷；膨胀机制冷；导热油供热；ＤＨＸ工艺；屏蔽液烃泵；分布式集散控制系统和安全联锁控制１０项关键技术。     

Two-tier architecture for unconstrained handwritten character recognition

In this paper, we propose an approach that combines the unsupervised and supervised learning techniques for unconstrained handwritten numeral recognition. This approach uses the Kohonen self-organizing neural network for data classification in the first stage and the learning vector quantization (LVQ) model in the second stage to improve classification accuracy. The combined architecture performs better than the Kohonen self-organizing map alone. In the proposed approach, the collection of centroids at different phases of training plays a vital role in the performance of the recognition system. Four experiments have been conducted and experimental results show that the collection of centroids in the middle of the training gives high performance in terms of speed and accuracy. The systems developed also resolve the confusion between handwritten numerals.     

检测骨架图形特征点的新方法

端点、折点、歧点和交点是骨架图形的重要特点是，提出用快速查表法检测侯选特征点，再进行侯选特征点聚集，用局部结构分析，去除假特征点，判别真特征点的类型，并对折点给以大致的定量描述。实验结果表明，该方法能快速有效地找出骨架图形的特征点，在目标识别、字符识别等应用中起着关键作用。     

应用并行技术实现CAD／CAM的高度集成

传统的CAD/CAM系统由于设计思想本身的局限性,其内部只能达到一种松散的基于数据交换的低水平的集成,产品的设计方法也不符合工程技术人员的设计思路。本文提出了基于全耦合的单一数据模型的并行CAD/CAM系统设计思想,使得CAD/CAM系统内部达到以数据共享为基础的高度集成。并行CAD/CAM系统充分体现了工程技术人员的思维方式及产品设计过程的反复性和协调性。此外,文中还提出广义参数化设计的新概念,它与特征设计方法的有机结合保证了产品模型的完整性和产品设计过程的同步性。特征共享是实现CAD和CAM集成的关键因素。并行CAD/CAM系统应用面向对象软件设计思想,实现了复杂数据模型的内部封装,并为数据模型和功能模块之间提供简单直观的界面。面向对象设计方法是开发并行CAD/CAM系统的有效手段。     

Application of the blind source separation method to feature extraction of machine sound signals

As the result of vibration emission in air, a machine sound signal carries important information about the working condition of machinery. But in practice, the sound signal is typically received with a very low signal-to-noise ratio. To obtain features of the original sound signal, uncorrelated sound signals must be removed and the wavelet coefficients related to fault condition must be retrieved. In this paper, the blind source separation technique is used to recover the wavelet coefficients of a monitored source from complex observed signals. Since in the proposed blind source separation (BSS) algorithms it is generally assumed that the number of sources is known, the Gerschgorin disk estimator method is introduced to determine the number of sound sources before applying the BSS method. This method can estimate the number of sound sources under non-Gaussian and non-white noise conditions. Then, the partial singular value analysis method is used to select these significant observations for BSS analysis. This method ensures that signals are separated with the smallest distortion. Afterwards, the time-frequency separation algorithm, converted to a suitable BSS algorithm for the separation of a non-stationary signal, is introduced. The transfer channel between observations and sources and the wavelet coefficients of the source signals can be blindly identified via this algorithm. The reconstructed wavelet coefficients can be used for diagnosis. Finally, the separation results obtained from the observed signals recorded in a semi-anechoic chamber demonstrate the effectiveness of the presented methods .     

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豫西地区中、下二叠统太原组、山西组、上石盒子组及下石盒子组煤成气资源丰富，但成煤环境纵向发育与横向变化较大，规律难于把握。因此，开展煤成气源岩沉积环境研究有利于该区煤成气资源的勘探与开发及合理的利用。通过露头、钻井、地震资料及分析、测试资料的综合研究认为：本区中、下二叠统主要沉积了一套浅海碳酸盐岩，海湾-泻湖、潮坪、沼泽、障壁岛(砂质滩、坝)及三角洲相陆源碎屑岩和煤层。从总的沉积特征来看，下二叠统太原组、山西组基本上发育滨、浅海相碳酸盐岩、陆源碎屑岩和煤的混合沉积。上二叠统上、下石盒子组则以海陆交互相陆源碎屑沉积为主，三角洲及三角洲平原沼泽十分发育；沉积环境具有自下而上，自南东向北西方向由海相逐步过渡为陆相的基本特点。其煤成气源岩沉积环境以早二叠世山西期潮坪、泻湖过渡带之滨岸沼泽环境为最佳，其次为中二叠世下石盒子期三角洲平原沉积之平原沼泽环境。     

Incremental wrapper-based gene selection from microarray data for cancer classification

Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or tens of thousands of genes in a single experiment. We present a new heuristic to select relevant gene subsets in order to further use them for the classification task. Our method is based on the statistical significance of adding a gene from a ranked-list to the final subset. The efficiency and effectiveness of our technique is demonstrated through extensive comparisons with other representative heuristics. Our approach shows an excellent performance, not only at identifying relevant genes, but also with respect to the computational cost.