基于PCA-BP神经网络的多股铜导线 熔痕定量金相识别方法研究

为实现火灾现场中多股铜导线熔痕的自动识别,采用主成分分析(PCA)和反向传播(BP)神经网络算法对四种多股铜导线熔痕(一次短路熔痕、二次短路熔痕、过负荷熔痕和火烧熔痕)的金相组织进行了识别研究。利用Image-Pro Plus 6.0和Axio-Imaging软件获取每种熔痕30组17维金相组织参数数据,采用PCA对四种熔痕共120组数据降维,获得前6个主成分得分矩阵,建立具有6个输入层节点,10个隐层节点和4个输出节点的神经网络模式识别模型。随机抽取每种熔痕的20组样品的主成分得分矩阵作为训练集,将每种熔痕的剩余10组主成分得分为测试数据,输入最终训练完成的模型进行识别,其识别准确率达到92.5%。实验结果表明采用PCA+BP神经网络的算法,可以较好地实现多股铜导线熔痕识别,为火灾物证鉴定工作提供了有力的工具。     

Fighting rules and rival recognition reduce costs of aggression in male lizards, Podarcis hispanica

The establishment of fighting rules and the ability to recognise individual conspecifics and to assess their fighting ability and/or roles may help to reduce costs of fighting. We staged encounters between males of the lizard Podarcis hispanica to examine whether lizards used fighting strategies and whether a previous agonistic experience affects the outcome and characteristics of a subsequent encounter. The results showed that simple rules such as body size differences and residence condition were used to determine the outcome of agonistic interactions as quickly as possible. Thus, larger males were dominant in most encounters. However, when size differences between opponents are smaller, they may be more difficult to estimate and, then, residence condition was more important. In addition, the intensity of interactions between males could be explained according to the ”sequential assessment game”, supporting the idea that P. hispanica males acquire information about fighting ability gradually during the progress of a fight. Our results also showed that the second fight of the same pair of males was less aggressive, even when its outcome was the opposite of the first. This result suggests that male P. hispanica can recognise individual opponents and that they use this information to reach a contest outcome more quickly, thus reducing unnecessary aggression levels in subsequent interactions. These fighting strategies and assessment mechanisms may help to stabilise the social system of this lizard. Received: 2 November 1999 / Revised: 26 August 2000 / Accepted: 4 September 2000     

Predicting categories of drugs used by suspected drug-impaired drivers using the Drug Evaluation and Classification Program tests

Objective: The purpose of this study was to statistically determine which combination(s) of drug-related signs and symptoms from the Drug Evaluation and Classification (DEC) protocol best predict the drug category used by the suspected drug-impaired driver.

Methods: Data from 1,512 completed DEC evaluations of suspected impaired drivers subsequently found to have ingested central nervous system (CNS) depressants, CNS stimulants, narcotic analgesics, and cannabis were analyzed using a multinomial logistic regression procedure. A set of evaluations completed on drug-free subjects was also included. The relative importance of clinical, behavioral, and observational measures in predicting drug categories responsible for impairment was also examined.

Results: Thirteen drug-related indicators were found to significantly contribute to the prediction of drug category, including being under the care of a doctor or dentist, condition of the eyes, condition of the eyelids, mean pulse rate, assessment of horizontal gaze nystagmus (HGN), convergence, performance on the One Leg Stand (OLS) Test, eyelid tremors, pupil size in darkness, reaction to light, presence of visible injection sites, systolic blood pressure, and muscle tone. Indicators related to the appearance and physiological response of the eye contributed the most to the prediction of drug category, followed closely by clinical indicators and performance on the psychophysical tests.

Conclusions: The findings from this study suggest that drug recognition experts (DREs) should be careful to review a set of key signs and symptoms when determining the category of drug used by suspected drug-impaired drivers. Drug use indicators related to the appearance and physiological response of the eye were found to contribute the most to the prediction of the drug category responsible for the impairment. These results could help form the basis of a core set of indicators that DREs could initially consult to form their opinion of drug influence. This in turn may enhance the validity, effectiveness, and efficiency of drug detection and identification by DREs and lead to a more effective and efficient DEC program, improved enforcement of drug-impaired driving, and greater acceptance of the DEC program by the courts.     

From Rio to Johannesburg and Beyond: A long and winding road

This paper analyses the evolution of urban form in two North American metropolitan regions (Portland and Toronto) and asks how more sustainable regional form might come about in the future in these and other urban areas. In the past, dominant patterns of urban form have emerged in such regions at different historical periods. These morphological phases include mid 19th-century grids, streetcar suburb grids, garden suburbs, automobile suburbs and New Urbanist neighbourhoods (which have only recently made an appearance and may or may not become widespread). Judging by the performance of past types of urban morphology, five design values appear particularly important for more sustainable urban form in the future: compactness, contiguity, connectivity, diversity and ecological integration. Although these principles were not well supported by 20th-century development, contemporary movements such as the New Urbanism and Smart Growth re-emphasise them. The example of these two regions indicates that, in the absence of new technological, economic or geographical forces, public sector institutions and urban social movements represent the most likely means to bring about new, more sustainable types of urban form.     

基于识别视距的特殊互通式立交出口区域主线线形指标分析

以特殊互通式立交出口区域主线为研究对象,分析了特殊互通式立交出口交通事故特征,运用汽车制动特性、人机工程学及交通心理学原理获取驾驶员在特殊互通式立交出口处的识别视距,且识别视距均比设计规范值高.以特殊互通式立交出口识别视距为基础,运用几何学及高速公路几何线形原理建立识别视距与立交区域主线圆曲线半径关系模型,运用VB程序开发软件,提出特殊互通式立交出口处满足识别视距不同车道数主线圆曲线半径一般值和最小值.结果表明:对待建高速公路互通式立交出口位置所在主线线形应分析识别视距,并应利用识别视距对主线线形指标验算;对已建成特殊互通式立交出口,应加强其安全保障措施,保证主线及驶离主线车辆行车安全.     

It pays to have an eye for emotions: Emotion recognition ability indirectly predicts annual income

This study integrates the emotion and social influence literatures to examine how emotion recognition ability (ERA) relates to annual income. In a sample of 142 employee–peer–supervisor triads from a broad range of jobs and organizations, we find that people's level of ERA indirectly relates to how much they earn per year. The relationship between ERA and annual income is mediated sequentially through political skill and interpersonal facilitation. The results imply that emotional abilities allow people not only to process affect‐laden information effectively but also to use this information to successfully navigate the social world of organizations in the pursuit of prosperity. Copyright © 2014 John Wiley & Sons, Ltd.     

氨联产甲醇物料的危险性辨识、评价及安全措施

氨联产甲醇生产法是生产甲醇的一种主要方法。甲醇生产中的物料都是比较危险的化学品,该类化学品易燃、易爆,容易使人中毒,如果管理不善,一旦发生意外,将造成巨大经济损失和重大人员伤亡。笔者按照OHSMS(职业安全健康管理体系)标准,对氨联产甲醇生产系统中生产过程物料和成品物料的危险性进行辨识和评价,提出了在氨联产甲醇生产系统中有关生产运行的安全管理控制措施,为氨联产甲醇生产系统的安全生产提供了切实可行的手段和途径,旨在提醒人们对氨联产甲醇生产系统的安全生产引起充分重视。     

MULTICRITERION DECISION MAKING FOR FLOOD CONTROL OPERATIONS: THEORY AND APPLICATIONS1

ABSTRACT: Flood control operations are generally complex in nature, as they are often associated with a large quantity of uncertain factors in combination of noncommensurable criteria. It has been found that the use of fuzzy set theory coupled with multicriterion decision making (MCDM) methods is very promising. In this paper, a multicriterion fuzzy recognition model is established for flood control operations. A subjective preference and iterative weights method is proposed for weight assessment. First, an initial solution of criteria weights, which is directly analyzed from the selected alternatives, is obtained by using the proposed fuzzy recognition model. Then, according to their knowledge related to real time flood operations, operators may modify the initial weights if necessary. When the relative membership grades of alternatives belonging to all rankings are fixed, a defuzzification equation is used to calculate the rank feature value vector. Based on the rank feature value vector, one can evaluate the alternative set. Two flood operation cases are provided to illustrate the application of the proposed model. With the incorporation of the operator's knowledge related to flood operations, the proposed model is flexible in giving weights and realizes more practical flood control operations.     

基于知识的管道系统泄漏检测方法

提出了3种基于知识的管道系统泄漏检测方法,分别是:通过对负压波波形分段符号化处理,采用上下文无关法表示波形结构模式的模式识别诊断系统;以选取合适维数的功率谱特征向量而建立的神经网络泄漏检测系统;与泄漏机理数学模型结合的泄漏诊断专家系统。     

基于属性识别的高速公路交通安全评价模型

针对高速公路交通安全问题,利用属性数学中的识别理论对其进行研究。在对影响高速公路交通安全因素综合分析基础上,构建了高速公路交通安全评价的指标体系;在利用五级标度法确定评价指标权重系数的情况下,建立了基于属性识别的高速公路交通安全评价模型;评价模型根据单指标的属性测度值与多指标的综合属性测度值,利用置信度准则来识别高速公路交通安全的现状水平。应用实例表明:利用属性评价模型,可以找出影响高速公路交通安全的问题成因和限制因素,为高速公路规划和改造提供科学决策依据。