GPS/电子地图组合定位技术在侦察机器人系统中的应用

介绍了GPS／电子地图组合定位技术在侦察机器人系统中的应用。对GPS接收机进行二次开发，在WINDOWS环境下，基于VB6．0，利用通信控件捕获基准站和移动站的RTCM SC－104格式差分GPS电文。分析比较了几种GPS定位算法的优劣，根据侦察机器人系统的特点，选择逆向伪距差分算法对电文进行处理，并与电子地图相结合进行精确定位。对逆向伪距差分算法的实现做了详细介绍并对实验结果做了简要分析，在电子地图的管理上，提出了将监视区域二次划分的方法，利用BMP位图，对侦察机器人所在的方位进行可视化精确定位。     

基于故障树与灰关联分析的鱼雷故障诊断

将灰色关联度与故障树联合运用于鱼雷故障诊断,为鱼雷的故障诊断提供了一种新途径。在鱼雷动力系统故障树诊断模式识别中,运用灰色系统理论中的灰关联分析,通过进行关联度计算及排序,对各种故障模式发生的可能性大小作出了判断,从而为处理故障的轻重缓急、控制故障的发生以及改进系统的可靠性提供了理论依据。实例诊断表明,这种方法是有效可行的,并且诊断结果可靠。     

A strategy for integrating product conceptualization and bid preparation

Collaboration with other members of the supply chain is one means by which small and medium sized enterprises (SMEs) can compete in today’s global business environment. Thus, early stages of the new product development process involve both technical activities, e.g., product platform definition, and commercial activities, e.g., bidding for contracts. This paper introduces an integrated collaborative bidding and design system (CBDS) to help SMEs coordinate the two aspects. General sorting was employed for initial requirements acquisition and platform definition; while a self-organizing map (SOM) neural network was combined with a concurrent cost-schedule estimation strategy for refinement of design options and bid evaluation/preparation. A case study on cellular phone design was then applied for illustrating the proposed prototype system.     

管线油电损耗的灰色模型及预测

对于管道运输来说，影响输油成本变化的因素有很多，但是对总成本影响最大的是油电损耗费用。由于来自现场的输量和相关参数样本数据不足，只知道连续几年的流量、油电损耗，要预测将来每年的油电损耗，经典经济数学不能满足这样的研究。然而灰色系统理论要求的研究样本较少，只要知道连续几年的流量、油电损耗，就能预测将来每年的油电损耗，估算其输油成本，且模型精度较高。利用灰色系统理论，以输油管线每年的输量、相应的电耗和油耗为时间序列，建立了三元素非等间距GM(1，1)模型，该模型为预测管线年输油成本提供了可靠的依据。     

常速度梯度射线追踪与二维层速度反演

速度问题是勘探地震学的核心 ,可以借助常速度梯度射线追踪方法 ,从反演的角度探讨速度建模问题。在射线追踪方面 ,从程函方程出发 ,将复杂的速度场剖分成小的矩形单元 ,并假设在每个矩形单元内速度具有常速度梯度 ,由此导出的一组常速度梯度射线追踪公式 ,可实现非均匀介质的射线追踪 ,具有适应性强、精度高和快速的优点。在层速度反演方面 ,采用相干速度反演的思想 ,根据各向同性介质中 ,零偏移距射线在界面处是法向入射的原理 ,建立了合成共中心点道集与射线深度偏移的正反演关系 ,由此利用合成共中心点道集与观测的共中心点道集逼近 ,采用层剥离方法进行层速度反演。通过理论推导与模型试算得到如下的认识与结论 :常速度梯度射线追踪具有较高的计算精度与效率 ,公式采用向量形式很容易推广到三维 ;确定层速度采用的是正反演相结合的方法 ,可得到稳定的速度场 ;该方法屏弃了基于双曲时矩关系确定层速度场的假设 ,使其能适应任意的速度分布。     

Wood inspection with non-supervised clustering

Abstract. The appearance of sawn timber has huge natural variations that the human inspector easily compensates for mentally when determining the types of defects and the grade of each board. However, for automatic wood inspection systems these variations are a major source for complication. This makes it difficult to use textbook methodologies for visual inspection. These methodologies generally aim at systems that are trained in a supervised manner with samples of defects and good material, but selecting and labeling the samples is an error-prone process that limits the accuracy that can be achieved. We present a non-supervised clustering-based approach for detecting and recognizing defects in lumber boards. A key idea is to employ a self-organizing map (SOM) for discriminating between sound wood and defects. Human involvement needed for training is minimal. The approach has been tested with color images of lumber boards, and the achieved false detection and error escape rates are low. The approach also provides a self-intuitive visual user interface. Received: 16 December 2000 / Accepted: 8 December 2001 Correspondence to: O. Silvén     

带状大比例尺地形图在分带接边处的接边处理

介绍带状大比例尺地形图在分带处高斯平面上拼接的原理和方法，并编制了相应的接边数据处理程序。作业实践说明，该接边方法简便实用，计算程序正确可靠。     

Characterizing navigation maps for web applications with the NMM approach

This paper presents the Navigation Maps Modeling approach (NMM), which provides platform independent models for characterizing navigation maps of web applications. The NMM approach is conceived to obtain a trade off between high and low-level design notations. As high-level design notations, NMM models permit architectural details that may hinder the overall understanding of the web application to be left out. As low-level design notations, NMM models can easily be transformed into detailed architectural designs, which are very valuable at coding and maintenance stages.