The effects of individual differences,prior experience and cognitive load on the transfer of dynamic decision-making performance

Situational awareness is recognised as an important factor in the performance of individuals and teams in dynamic decision-making (DDM) environments (Salmon et al. 2014 Salmon, P. M., N. A.Stanton, G. H.Walker, D.Jenkins, D.Ladva, L.Rafferty, and M.Young. 2014. “Measuring SA in Complex Systems: Comparison of Measurement Study.” International Journal of Industrial Ergonomics39: 490–500.[Crossref], [Web of Science ®] , [Google Scholar]). The present study was designed to investigate whether the scores on the WOMBAT? Situational Awareness and Stress Tolerance Test (Roscoe and North 1980 Roscoe, S. N., and R.North. 1980. “Prediction of Pilot Performance.” In Aviation Psychology, edited by S. N.Roscoe, 123–127. Ames: The Iowa State University Press. [Google Scholar]) would predict the transfer of DDM performance from training under different levels of cognitive load to a novel situation. Participants practised a simulated firefighting task under either low or high conditions of cognitive load and then performed a (transfer) test in an alternative firefighting environment under an intermediate level of cognitive load. WOMBAT? test scores were a better predictor of DDM performance than scores on the Raven Matrices. Participants with high WOMBAT? scores performed better regardless of their training condition. Participants with recent gaming experience who practised under low cognitive load showed better practice phase performance but worse transfer performance than those who practised under high cognitive load.

Practitioner Summary: The relationship between task experience, situational awareness ability, cognitive load and the transfer of dynamic decision-making (DDM) performance was investigated. Results showed that the WOMBAT? test predicted transfer of DDM performance regardless of task cognitive load. The effects of cognitive load on performance varied according to previous task-relevant experience.     

基于GPS/GIS的公共安全监测系统的研究

GPS技术在公共安全监测领域中的应用正向高精度、实时化和自动化的方向发展。GPS公共安全监测不仅注重结果,还要分析产生变形的原因。要实现这一目标,就需要借助于G IS的空间分析功能,即需要建立一种基于GPS/G IS的公共安全监测系统。研究了GPS监测的似单差数学模型和算法流程,由于该模型只用到L1载波相位观测值及伪距,因此可适用于单频接收机,从而降低监测成本。同时,结合GPS公共安全监测的特点,提出了GPS/G IS公共安全监测系统的技术路线。     

民族文化差异与日用陶瓷的文化营销

在经济全球化的背景下,由于民族文化、区域文化差异性和多样性的存在,日用陶瓷企业在开展国际营销活动时需要一个行之有效的营销策略。本文通过分析民族文化差异,为日用陶瓷企业实施国际文化营销提供一些建议。     

Epileptic seizure classification in EEG signals using second-order difference plot of intrinsic mode functions

Epilepsy is a neurological disorder which is characterized by transient and unexpected electrical disturbance of the brain. The electroencephalogram (EEG) is a commonly used signal for detection of epileptic seizures. This paper presents a new method for classification of ictal and seizure-free EEG signals. The proposed method is based on the empirical mode decomposition (EMD) and the second-order difference plot (SODP). The EMD method decomposes an EEG signal into a set of symmetric and band-limited signals termed as intrinsic mode functions (IMFs). The SODP of IMFs provides elliptical structure. The 95% confidence ellipse area measured from the SODP of IMFs has been used as a feature in order to discriminate seizure-free EEG signals from the epileptic seizure EEG signals. The feature space obtained from the ellipse area parameters of two IMFs has been used for classification of ictal and seizure-free EEG signals using the artificial neural network (ANN) classifier. It has been shown that the feature space formed using ellipse area parameters of first and second IMFs has given good classification performance. Experimental results on EEG database available by the University of Bonn, Germany, are included to illustrate the effectiveness of the proposed method.     

尾部烟气增湿活化脱硫原理性研究

论述应用大速差射流的尾部烟气脱硫增湿活化原理怀试验台架及其系统，试验结果及分析，在尾部烟气中ＳＯ２气体直接与固相脱硫剂（ＣａＯ粉及Ｃａ（ＯＨ）２粉）反应能力很弱；ＳＯ２气体直接与水滴反应生成Ｈ２ＳＯ３的能力也能弱，它受到ＳＯ２气体在水中溶解能力的限制；增湿活化的机理在于水滴与脱硫剂粒子碰撞后在其表面生在液态Ｃａ（ＯＨ）２离子膜，由它与ＳＯ２气体反应脱硫。因此，良好的活化反应器必须具有良好的水滴与脱     

基于面向服务的泥石流数值模拟通用平台

对当前泥石流模拟系统的单一性缺点进行了研究,提出了面向服务的泥石流数值模拟的通用平台思想。以有限差分模型为基础,采用面向服务的思想,设计了系统 C/S模式的技术方案并完成了整个系统的设计和实现。经过香港滑坡地形图的验证,证明了本通用平台的可行性和有效性。     

橘纹漆涂装过程中色差产生的因素及控制

通过CIELAB色值测量方法测定了不同生产批次的丙烯酸氨基橘纹烤漆、不同施工黏度的氨基烤漆、以不同溶剂配制的醇酸橘纹烤漆和丙烯酸氨基橘纹烤漆以及不同花纹的丙烯酸氨基橘纹烤漆的颜色参数。分析了橘纹漆在涂装过程中,由于原材料、施工黏度、溶剂种类以及喷涂后橘纹花纹大小等各种不同因素而导致的色差。提出对原材料色差和喷涂作业参数实行量化管理是控制橘纹漆色差的有效方法。     

多源信息融合的测井曲线分层算法研究

测井数据解释中,针对单一测井曲线无法真实反映地层属性问题,提出以多条测井曲线的滤波因子为权值,融合出一条综合特征曲线,对该特征曲线相继采用层内差异法细分层与模糊聚类校正分层,实现特征曲线的合理分层。实验结果表明:该方法避免了海量数据处理过程,剔除了噪点数据的影响,提高了分层的速度与精度,能够为应用测井资料进行岩性识别、测井相分析、储层划分等研究提供有利的技术支撑。     

On a Mixture GARCH Time‐Series Model

Abstract. Recently, there has been a lot of interest in modelling real data with a heavy‐tailed distribution. A popular candidate is the so‐called generalized autoregressive conditional heteroscedastic (GARCH) model. Unfortunately, the tails of GARCH models are not thick enough in some applications. In this paper, we propose a mixture generalized autoregressive conditional heteroscedastic (MGARCH) model. The stationarity conditions and the tail behaviour of the MGARCH model are studied. It is shown that MGARCH models have tails thicker than those of the associated GARCH models. Therefore, the MGARCH models are more capable of capturing the heavy‐tailed features in real data. Some real examples illustrate the results.     

最小费用最大流问题的一种新算法

现有的最小费用最大流算法都有自身的缺陷,增广链的选取不当会给计算带来不便,同时费用也达不到理想的效果。鉴于对最小费用最大流算法的增广链选取和最小费用的探索,文章通过对费用差的定义给出了一种求最小费用最大流的新算法。新算法的原则是优先选择费用差最小的有向路径进行增广,当费用差相同时就选择修正后的路径。通过对最小费用最大流算法的改进,新算法易理解且便于计算。通过实例说明了新算法的有效性和执行效率。