CIMS中零件加工特征分类研究

根据某大型制造企业的实际情况，阐述了定义加工特征的依据，给出了零件加工特征的定义及其组成。把加工特征作为对象，提出了分类的原则和面向对象分类方法。对该企业当前生产的零件上所具有的加工特征进行了分类，建立了相应的加工特征对象类树。     

运用模式分类的雷达抗转发式距离欺骗干扰方法

针对雷达转发式欺骗干扰中的距离欺骗，提出了一种基于模式分类来识别目标与干扰的方法。该方法基于干扰和目标能量和起伏特性差异确定提取特征因子，再利用RBF神经网络方法进行分类。仿真结果表明，该方法具有较好的抗距离欺骗干扰性能。     

冀中坳陷东北部石炭—二叠系储层特征及勘探方向

渤海湾盆地冀中坳陷石炭—二叠系残留分布区即坳陷东北部的文安斜坡、杨村斜坡、大城凸起等地区,受印支—燕山和喜马拉雅期强烈的后期构造运动改造,历经差异升降和拉张断陷两大构造发育阶段,致使东、西部剥蚀带的埋藏史表现为沉降—抬升—沉降、沉降—抬升两种类型。区内沉积体系发育较为齐全,自下而上可以识别出滨海潮坪—沼泽、三角洲和河流等三大沉积体系;其中,三角洲和河流体系发育的分流河道、辫状河道砂岩分布范围广、厚度大,形成了该区最主要的砂体类型。区内砂岩储层在其间断埋藏成岩过程中,受表生淋滤作用和深部淋滤作用的影响,形成了较为发育的次生孔隙,孔隙度一般为15%～25%,大气水的深部淋滤作用又进一步改善了断层发育区的储集性能,并由此形成了该区优质的储层。综合评价认为,西部剥蚀带附近是最有利的勘探区带。     

Congruences and ideals in pseudoeffect algebras

This paper is devoted to congruences and ideals in pseudoeffect algebras. Let I be a normal ideal in a pseudoeffect algebra E. We show that: (1) the relation ~ _I induced by I is a congruence if and only if for every a∈E, I∩ [0,a] is upper directed; (2) the relation ~ _I induced by I is a strong congruence if and only if I is a normal weak Riesz ideal in a pseudoeffect algebra E. Moreover, we introduce a stronger concept of congruence—namely Riesz strong congruence—and we prove that, if I is a normal weak Riesz ideal in a pseudoeffect algebra E, then ~ _I is a Riesz strong congruence and, conversely, if ~ is a Riesz strong congruence, then I = [0]_~ is a normal weak Riesz ideal, and ~ _I = ~. This work was supported by the National Natural Science Foundation of China (Grant No. 10271069).     

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。     

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)     

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．     

FAST MEASUREMENT OF ASH CONTENT IN COAL WASHING PLANT

The coal filter cake is a product of fine coal after floatation which has an ash content of 7-13%, water content of 30±2%, and a particle size of less than 1 mm. The ash content was measured by the intensity of the single backscattered gamma-ray, and its accuracy is mainly dependent on the energy of the gamma-ray. The 238Pu low energy photon source is selected in this work. The energy of its gamma-ray is 15 keV, which can result not only in the best sensitivity, but also in the lowest contribution to the environment radiation. The root mean square deviation of the ash measurement is±0.33% (±1σ).     

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.