基于合成规则的相似性推理及其在焊接参数设计中的应用

焊接过程是典型的复杂过程,应用模糊逻辑建立焊接参数推理系统可快速实现焊接工艺参数设计.近似推理机制是模糊系统研究和开发中的一个重要组成部分,在现有的相似性推理方法的基础上,融合经典的合成规则推理技术,提出一种新的基于合成规则的相似性推理方法.以CO_2保护焊焊接规范参数设计为背景介绍模糊推理在焊接领域的应用,运行结果表明,采用方法建立的模糊推理模型具有较高的推算精度,能够满足焊接工艺参数设计的要求.     

循证护理模式对关节镜下前交叉韧带重建术患者康复锻炼遵从性的影响

目的探讨了循证护理模式对关节镜下前交叉韧带重建术患者康复锻炼遵从性的影响。方法选取在武汉科技大学附属孝感医院接受治疗的63例关节镜下前交叉韧带重建术患者,随机分为观察组32例,对照组31例,对照组行常规护理,观察组实施循证护理,比较两组护理前后康复锻炼总遵从率。结果护理后对照组总遵从率为77.42%,观察组为100%,组间比较差异具有统计学意义(P0.05)。结论对关节镜下前交叉韧带重建术患者行循证护理,可有效提高患者康复锻炼遵从性。     

Variation of student numerical and figural reasoning approaches by pattern generalization type,strategy use and grade level

This paper explored variation of student numerical and figural reasoning approaches across different pattern generalization types and across grade level. An instrument was designed for this purpose. The instrument was given to a sample of 1232 students from grades 4 to 11 from five schools in Lebanon. Analysis of data showed that the numerical reasoning approach seems to be more dominant than the figural reasoning approach for the near and far pattern generalization types but not for the immediate generalization type. The findings showed that for the recursive strategy, the numerical reasoning approach seems to be more dominant than the figural reasoning approach for each of the three pattern generalization types. However, the figural reasoning approach seems to be more dominant than the numerical reasoning approach for the functional strategy, for each generalization type. The findings also showed that the numerical reasoning was more dominant than the figural reasoning in lower grade levels (grades 4 and 5) for each generalization type. In contrast, the figural reasoning became more dominant than the numerical reasoning in the upper grade levels (grades 10 and 11).     

Uncertain and negative evidence in continuous time Bayesian networks

The continuous time Bayesian network (CTBN) enables reasoning about complex systems by representing the system as a factored, finite-state, continuous-time Markov process. Inference over the model incorporates evidence, given as state observations through time. The time dimension introduces several new types of evidence that are not found with static models. In this work, we present a comprehensive look at the types of evidence in CTBNs. Moreover, we define and extend inference to reason under uncertainty in the presence of uncertain evidence, as well as negative evidence, concepts extended to static models but not yet introduced into the CTBN model.     

Dempster–Shafer fusion of evidential pairwise Markov fields

Hidden Markov fields (HMFs) have been successfully used in many areas to take spatial information into account. In such models, the hidden process of interest X is a Markov field, that is to be estimated from an observable process Y. The possibility of such estimation is due to the fact that the conditional distribution of the hidden process with respect to the observed one remains Markovian. The latter property remains valid when the pairwise process $(X,Y)$ is Markov and such models, called pairwise Markov fields (PMFs), have been shown to offer larger modeling capabilities while exhibiting similar processing cost. Further extensions lead to a family of more general models called triplet Markov fields (TMFs) in which the triplet $(U,X,Y)$ is Markov where U is an underlying process that may have different meanings according to the application. A link has also been established between these models and the theory of evidence, opening new possibilities of achieving Dempster–Shafer fusion in Markov fields context. The aim of this paper is to propose a unifying general formalism allowing all conventional modeling and processing possibilities regarding information imprecision, sensor unreliability and data fusion in Markov fields context. The generality of the proposed formalism is shown theoretically through some illustrative examples dealing with image segmentation, and experimentally on hand-drawn and SAR images.     

利用量纲分析法进行物理问题的定性推‘理

本文提出了定性推理的一种新方法-一量纲分祈法对物现问题的有关定性推理.文中介绍了它的工作机理和实现这种方法的LISP程序QDA及部分实例.并讨论了它的应用和局限性.     

Probabilistic temporal networks: A unified framework for reasoning with time and uncertainty

Complex real-world systems consist of collections of interacting processes/events. These processes change over time in response to both internal and external stimuli as well as to the passage of time itself. Many domains such as real-time systems diagnosis, story understanding, and financial forecasting require the capability to model complex systems under a unified framework to deal with both time and uncertainty. Current models for uncertainty and current models for time already provide rich languages to capture uncertainty and temporal information, respectively. Unfortunately, these semantics have made it extremely difficult to unify time and uncertainty in a way which cleanly and adequately models the problem domains at hand. Existing approaches suffer from significant trade offs between strong semantics for uncertainty and strong semantics for time. In this paper, we explore a new model, the Probabilistic Temporal Network (PTN), for representing temporal and atemporal information while fully embracing probabilistic semantics. The model allows representation of time constrained causality, of when and if events occur, and of the periodic and recurrent nature of processes.     

特大型桥梁钢套箱防撞性能研究及碰撞过程推理

以优化特大型桥梁防撞钢套箱防撞效果为目标,对防撞钢套箱的设计构造、尺寸、钢板厚度等进行参数分析,探讨了钢套箱构造及钢板厚度等对防撞效果的影响规律,并对钢套箱与船舶碰撞过程进行推理．结果表明：合理地选取钢套箱的结构形式及尺寸,并使其刚度与碰撞船艏相匹配,可有效地减少对基础的局部破坏,使防撞钢套箱发挥更大的防撞效果．     

典型塑料载体与助燃剂燃烧残留物的闪蒸气相色谱-质谱分析

通过对火场常见塑料载体与助燃剂混合燃烧残留物的分析,发展一种适用此类燃烧残留物的火灾物证鉴定方法,对火场中是否存在助燃剂进行判断,避免漏检情况的发生。应用热分析技术确定合适的闪蒸温度,在此温度下对塑料载体与助燃剂混合燃烧残留物进行闪蒸分析,并从实验条件选择、可行性分析、定性分析三方面对闪蒸技术进行评价。结果表明,闪蒸气相色谱-质谱（Flash GC-MS）技术可以检测到热塑性聚合物塑料载体与助燃剂混合燃烧残留物中残留的助燃剂特征组分,可对火场中是否存在过助燃剂进行辨别。闪蒸气相色谱-质谱技术丰富了现代火灾物证鉴定技术,能进一步辅助火灾物证鉴定工作,使鉴定结论更准确、可靠。     

基于MC-ZF-HD-DS的高端装备制造企业持续创新能力评价研究

为客观和准确地评价高端装备制造企业的持续创新能力,建立了高端装备制造企业持续创新能力评价指标体系,采用MC-ZF-HD-DS对具体的高端装备制造企业持续创新能力进行评价。通过模糊粗糙集法对高频海选评价指标进行筛选,采用极差最大化组合赋权法对已筛选出的指标体系进行赋权,运用灰色定权聚类对评价对象进行聚类,在此基础上,运用证据理论对聚类结果进行合成,形成最终评价结果,最后通过实证分析验证了该方法的可行性和有效性。