《钢结构工程施工质量验收规范》修订简介

简要介绍《钢结构工程施工质量验收规范》(GB 5 0 2 0 5 - 2 0 0 1)的修订原则、方法以及对原规范进行修订中新增加的内容及要求 ,并进行了详细解释 ,以便于对新规范的理解     

智能型MNS低压开关柜

MNS智能低压开关柜是ABB公司的新一代产品。除具有设计灵活、结构紧凑和免维护等特点外，安全可靠性是其最突出的优点，包括抗故障电弧、可靠的绝缘分隔及接插性能、可靠的抽屉单元和温升限制。采用和智能化电动机控制中心INSUM及配电智能化控制和能量管理系统ESD2000的完美结合，开发了了基于现场总线的智能化的系统解决方案。     

The Flynn Effect and U.S. Policies: The Impact of Rising IQ Scores on American Society Via Mental Retardation Diagnoses.

Over the last century, IQ scores have been steadily rising, a phenomenon dubbed the Flynn effect. Because of the Flynn effect, IQ tests are periodically renormed, making them harder. Given that eligibility for mental retardation (MR) services relies heavily on IQ scores, renormed tests could have a significant impact on MR placements. In longitudinal IQ records from 9 sites around the country, students in the borderline and mild MR range lost an average of 5.6 points when retested on a renormed test and were more likely to be classified MR compared with peers retested on the same test. The magnitude of the effect is large and affects national policies on education, social security, the death penalty, and the military. This paper reports the perceptions of professionals as they relate to IQ score fluctuations in normal, borderline, and/or MR populations. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

智能建筑的电气设计子项

阐述智能建筑的电气设计及施工中各电气设计子项的具体解决方案，以及弱电竖井设置中要注意的一些问题。     

Psychopathy, IQ, and Violence in European American and African American County Jail Inmates.

The accuracy of the prediction of criminal violence may be improved by combining psychopathy with other variables that have been found to predict violence. Research has suggested that assessing intelligence (i.e., IQ) as well as psychopathy improves the accuracy of violence prediction. In the present study, the authors tested this hypothesis by using a contemporary measure of psychopathy, the Psychopathy Checklist-Revised (R. D. Hare, 2003), in a sample of 326 European American and 348 African American male offenders. The postdictive power of psychopathy was evident for both ethnic groups and robust across most changes in the operationalization of violence and the analysis conducted, whereas the postdictive power of IQ was not. No Psychopathy x IQ interactions were identified. Implications of these results for violence prediction are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

MAX6625型温度传感器的原理及应用

MAX6625是美国Maxim公司生产的一种新型智能温度传感器,它在风扇控制、温度告警、系统温度测量及工业设备中得到了广泛应用.介绍MAX6625的功能和结构,分析MAX6625的工作原理,给出采用MAX6625进行温度测控的电路及编程.     

Knowledge-based diagnosis of drill conditions

One major bottleneck in the automation of the drilling process by robots in the aerospace industry is drill condition monitoring. This paper describes a system approach to solve this problem through the advancement of new machine design, sensor instrumentation, metal-cutting research, and intelligent software development. All drill failures can be detected and distinguished: chisel edge wear, flank wear, crater wear, margin wear, corner wear, breakage, asymmetry, lip height difference, and chipping at lips. However, in the real manufacturing environment, different workpiece materials, drill size, drill geometry, drill material, cutting speed, feed rate, etc. will change the criteria for judging the drill condition. The knowledge base used for diagnosing the drill failures requires a huge data bank and prior exhaustive testing. A self-learning scheme is therefore introduced to the machine in order to acquire the threshold history needed for automatic diagnosis by using the same new tool under the same drilling conditions.     

人工智能方法用于熔喷过程在线检测的研究

熔喷生产最终产品质量的控制，对于过程优化具有重要的意义。产品质量的在线检测是过程监测与质量控制必不可少的。本文首次在熔喷系统中引入人工智能的研究方法，对熔喷非织造布的厚度与纤维直径进行在线预测。实测数据与人工神经网络的预测结果吻合较好，从而证实了人工神经网络用于模拟熔喷过程的可行性。网络的输入包括：挤出机温度、喷头温度、熔融体挤出速率、空气流率及接收距离。神经元计算的输出是纤维直径与熔喷非织布的厚度。文中进一步提出了将神经网络与专家系统相结合的研究路线，以实现熔喷过程的优化控制。     

汽油辛烷值智能调合系统

采取一种能够在线学习、不断提高、建立一系列模型的策略，提出了一种具有学习功能的汽油辛烷值智能调合系统。该系统可以根据成品汽油辛烷值指标、生产成本和市场价格等因素提供一个较好的油品调合调度方案。实际应用结果表明，利用参数学习的方法计算调合汽油辛烷值是可行的。     

应用人工神经网络优化五点法水平井井网

水平井直井联合布井方式越来越多地应用到油田的实际开发中，但是井网的选择与优化方面的研究比较少，特别是没有根据不同开发阶段变化的生产动态对水平井井网进行优化。应用人工神经网络技术，在进行数值模拟计算的基础上，制作样本并训练网络，可预测任意面积、任意水平井长度下的五点法水平井井网在不同开发阶段的生产动态，优化出不同生产时间和不同井网面积条件下最优井网穿透比，即生产10a时最优井网穿透比为0．55～0．8。与数值模拟结果进行对比，最大误差在1％以内，表明这种方法既快速简便又具有较高的精确性，可以有效地指导五点法水平井井网优化设计。