Diagnosing item score patterns on a test using item response theory-based person-fit statistics.

Person-fit statistics have been proposed to investigate the fit of an item score pattern to an item response theory (IRT) model. The author investigated how these statistics can be used to detect different types of misfit. Intelligence test data were analyzed using person-fit statistics in the context of the G. Rasch (1960) model and R. J. Mokken's (1971, 1997) IRT models. The effect of the choice of an IRT model to detect misfitting item score patterns and the usefulness of person-fit statistics for diagnosis of misfit are discussed. Results showed that different types of person-fit statistics can be used to detect different kinds of person misfit. Parametric person-fit statistics had more power than nonparametric person-fit statistics. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

低效气藏成因层次剖析

由于我国低效气藏的储量所占比例很大，故而有必要对其进行深入研究，形成适合于不同层面的研究方法和思路，以期达到指导勘探开发生产的目的。为此，将低效气藏剖析为四个层面（气藏开发特征层面、现有地质特征层面、历史地质成因层面、预测及改造层面），并用层次分析法对其进行了研究：第一层次是直接由生产来认识，第二层次通过分析、化验、监测来了解，第三层次通过地质过程和地质历史回溯来表述，第四层次依据现有地质理论，通过地质过程叠合，最终达到预测、改造、有效动用低效气藏的目的。研究结果认为，可以依据不同层次特征对低效气藏进行分类评价：第一层次从经济效益出发，依据投入产出比进行分类；第二层次着眼气藏现今地质特征，表征其地质特征，而储层分布、渗透性则为分类的主要依据；第三层次从气藏形成地质过程着手，分析低效气藏形成过程，沉积和成岩作用作为分类的关键因素；第四层次基于气藏地质特征，预测开发动态，改造气藏特征，促使气藏有效动用。     

P2井特殊烃组分气测异常显示层探讨

正常的油气显示层气测组分分布遵循一定的规律，而准噶尔盆地西北部的P2井在钻探过程中发现了不符合正常气测分布规律的气测异常显示层，由此引起多方关注与争议。在简述该井气测异常特点及特殊性基础上，对其产生原因进行了探讨，认为第一气测异常层无C1、C2值是由于该层原油为未成熟原油，裂解、降解不彻底所致，第二、第三显示层只有C1则是由于该层为稠油层，C1是微生物降解的结果。通过对相邻区块资料分析，进一步提出了以气测全烃曲线形态为主结合垒烃相对幅度与全烃饱满程度图板的气测异常显示解释评价方法，对于指导其他区块类似情况的研究具有参照作用。     

含Zr低合金高强度钢中夹杂物的特性

用电子探针研究了含Zr低合金高强度钢中夹杂物的形貌、大小及分布等特性。结果表明 ,钢样中的夹杂物为圆形 ,呈分散分布 ,其组成系含ZrO2 的复合夹杂物 ,而且MnS依附此复合夹杂物成核和长大。钢中添加少量Zr可明显改善夹杂物形态和分布 ,从而改善钢的强度和韧性     

Plasticity of feature-based selection in triple-conjunction search.

Two experiments examined the disruption of feature-based selection in triple-conjunction search at multiple target transfers. In Experiment 1, after 10 training sessions, a new target possessing previous distractor features was introduced. This produced disruption in RT and fixation number, but no disruption in feature-based selection. Specifically, there was a tendency to fixate objects sharing the target's contrast polarity and shape and this did not change even upon transfer to the new target. In Experiment 2, 30 training sessions were provided with three target transfers. At the first transfer, the results replicated Experiment 1. Subsequent transfers did not produce disruption on any measure. These findings are discussed in terms of strength theory, Guided Search, rule-based approaches to perceptual learning, and the area activation model. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

一种基于中心矩特征的SAR图像目标识别方法

合成孔径雷达自动目标识别是目前国内外模式识别领域的重点研究课题之一.本文给出了一种内存需求小,低计算复杂度且具有较好识别性能的SAR图像目标识别方法,先通过自适应阈值分割来获得目标图像,然后提取其中心矩特征,采用SVM来进行识别.基于美国MSTAR实测数据的识别试验验证了该方法的有效性.     

面向对象的设计特征与实现语言

在管理信息系统的开发以及分布式数据库系统的设计中，已开始使用面向对象的技术．本文论述了面向对象的设计特征，介绍了用于面向对象设计的各种实现语言，并着重分析了各种实现语言支特面向对象设计的能力．     

Perceptually Grounded Language Learning: Part 2—DETE: A Neural/Procedural Model

In Part 1 of this two-part series, we introduced Katamic memory—a neural network architecture capable of robust sequence learning and recognition. In Part 2, we introduce the Blobs World taskjdomain for language learning and describe the DETE language learning system, which is composed of over 50 Katamic memory modules. DETE currently learns small subsets of English and Spanish via association with perceptual! motor inputs. In addition to Kaiamic memory, DETE employs several other novel features: (1) use of feature planes, to encode visual shapes, spatial relationships and the motions of objects, (2) phase-locking of neural firing, in order to represent focus of atention and to bind objects across multiple feature planes, and (3) a method for encoding temporal relationships, so that DETE can learn utterances involving the immediate past and future. We compare DETE to related models and discuss the implications of this approach for language-learning research.     

模糊综合评判方法在碳酸盐岩油气勘探中的应用

详细地阐述了模糊综合评判方法的数学原理及其在油气勘探开发中的应用.根据某油田的生产层参数资料,运用MICROSOFT EXCEL软件,在对各参数进行统计研究并了解它们分布规律的基础上,合理地构造出一系列隶属函数,通过编制相应的计算机程序,完成综合评判.评判结果与勘探实际吻合较好.该方法有效地适用于碳酸盐岩油气藏的勘探开发.     

多污染源随机排污的水质影响分析方法及其应用

针对污水排放特征,将污染源分为连续排放型污染源和间隙排放型污染源。对连续排放型污染源,采用确定性方法定义污染源强;而对于间隙排放型污染源,运用不确定性理论,根据其排放污染源的随机统计特征,对污染源进行随机概化。将不确定性理论应用于多污染源随机排污对环境水体的水质影响分析,给出了基于不确定性理论的水质影响预测方法,建立了二维随机水质数学模型。并将该方法应用于某市水源地水质影响的随机分析,得到了在多污染源随机排放协同影响下水质浓度随机变化的统计特征。