一种改进的图像模糊增强法

基于医学图像对比度差以致正常组织和病态组织难以区分,本文在讨论了Pal.King模糊增强的基础上,对模糊算法进行了改进,改进后的模糊算法效果明显,能增强图像细微细节,提高图像的对比度,改善图像视觉效果,提高诊断的准确性。     

一个数据流查询系统的设计与实现

就目前大多数数据流查询处理过程中可能出现的一些问题，根据数据流处理的特点和要求，提出了新的查询处理结构，实现了数据共享及多流多查询环境下查询的处理．     

绵阳出口加工区的优劣势及对策

绵阳出口加工区在优惠政策、政府扶持等方面拥有发展优势,其健康发展在提升地方城市功能、扩大就业、拉动周边地区产业发展等方面将起显著作用;但该加工区的包括区位等比较劣势也很明显,如没有得到很好解决,将直接影响其发展潜力。因此,加工区应在基础建设、招商引资和政府管理等方面加强建设。     

智能化仪表传感器非线性校正的实现

本文描述了传感器非线性特性预处理的方法．实践证明该方法适用于标准或非标准特殊传感器，处理结果使智能型仪表的测试精度有显著提高．     

合作处理中的团队透明性

对合作处理中的一些基本概念给出了明确的定义，并提出了一个有用的合作团队的模型。模型中的团队代理是实现透明性的依托，在此对其特性、行为及其构造作了描述。把合作团队的透明性分解为环境透明和编程透明，并给出两种进明性在ＯＳＥｗａｒｅ中的实现方法。     

Sampling from spatial databases

This paper deals with techniques for obtaining random point samples from spatial databases. We seek random points from a continuous domain (usually ²) which satisfy a spatial predicate that is represented in the database as a collection of polygons. Several applications of spatial sampling (e.g. environmental monitoring, agronomy, forestry, etc) are described. Sampling problems are characterized in terms of two key parameters: coverage (selectivity), and expected stabbing number (overlap). We discuss two fundamental approaches to sampling with spatial predicates, depending on whether we sample first or evaluate the predicate first. The approaches are described in the context of both quadtrees and R-trees, detailing the sample first, acceptance/rejection tree, and partial area tree algorithms. A sequential algorithm, the one-pass spatial reservoir algorithm is also described. The relative performance of the various sampling algorithms is compared and choice of preferred algorithms is suggested. We conclude with a short discussion of possible extensions.     

獭兔养殖综合技术研究

对獭兔的适应性、饲养管理、疾病防治、产品加工等养殖综合技术进行了研究,提出了獭兔的“三改、两杯、两早一分和两选两适”规范化饲养管理制度和疾病综合防治技术措施,探索出了优质獭兔毛皮和“富钙兔肉脯”的加工工艺以及獭兔良种推广的有效途径。     

空间OLAP 技术研究

针对决策支持系统中空间数据可视化应用趋势,研究基于空间数据仓库的一种决策分析 工具———在线分析处理,通过改进空间数据立方体的物化视图选择方法,并进行了实例分析, 验证该方法的有效性和优越性,更好地解决空间OLAP 响应时间延迟问题. 进而扩展空间OLAP 应用模型和模式,实现更加完备、灵活的空间OLAP 操作功能.     

Does Iconicity in Pictographs Matter? The Influence of Iconicity and Numeracy on Information Processing,Decision Making,and Liking in an Eye‐Tracking Study

Researchers recommend the use of pictographs in medical risk communication to improve people's risk comprehension and decision making. However, it is not yet clear whether the iconicity used in pictographs to convey risk information influences individuals’ information processing and comprehension. In an eye‐tracking experiment with participants from the general population (N = 188), we examined whether specific types of pictograph icons influence the processing strategy viewers use to extract numerical information. In addition, we examined the effect of iconicity and numeracy on probability estimation, recall, and icon liking. This experiment used a 2 (iconicity: blocks vs. restroom icons) × 2 (scenario: medical vs. nonmedical) between‐subject design. Numeracy had a significant effect on information processing strategy, but we found no effect of iconicity or scenario. Results indicated that both icon types enabled high and low numerates to use their default way of processing and extracting the gist of the message from the pictorial risk communication format: high numerates counted icons, whereas low numerates used large‐area processing. There was no effect of iconicity in the probability estimation. However, people who saw restroom icons had a higher probability of correctly recalling the exact risk level. Iconicity had no effect on icon liking. Although the effects are small, our findings suggest that person‐like restroom icons in pictographs seem to have some advantages for risk communication. Specifically, in nonpersonalized prevention brochures, person‐like restroom icons may maintain reader motivation for processing the risk information.     

Objective Bayesian inference for the ratio of the scale parameters of two Weibull distributions

The Weibull distribution is widely used due to its versatility and relative simplicity. In our paper, the non informative priors for the ratio of the scale parameters of two Weibull models are provided. The asymptotic matching of coverage probabilities of Bayesian credible intervals is considered, with the corresponding frequentist coverage probabilities. We developed the various priors for the ratio of two scale parameters using the following matching criteria: quantile matching, matching of distribution function, highest posterior density matching, and inversion of test statistics. One particular prior, which meets all the matching criteria, is found. Next, we derive the reference priors for groups of ordering. We see that all the reference priors satisfy a first-order matching criterion and that the one-at-a-time reference prior is a second-order matching prior. A simulation study is performed and an example given.