面向知识自动化的磨矿系统操作员脑认知特征与控制效果的相关分析

面向知识型工作自动化,研究了流程工业生产过程中操作人员的脑认知特征与操作控制水平之间的关键,建立了一种基于操作员脑网络特征的操作熟练程度隐性知识的显性化模型.采用关注信号瞬时相位、基于希尔伯特变换的相位锁方法,构建了脑功能网络（Functional brain network,FBN）.基于磨矿系统操作员脑功能网络的图论参数与社区连接强度,建立了特征空间,采用支持向量机与神经网络进行特征分类.结果表明,在高频区,熟练操作员（熟手）的脑功能网络连接强度明显高于不熟练操作员（生手）：在低频部分则生手的脑功能网络连接强度略高,其特征分类准确率为87.24%.磨矿系统操作过程中形成的溢流粒度（Grinding particle size,GPS）曲线可以初略地反映操作人员的熟练程度,本文在深入分析了其溢流粒度曲线与操作员脑网络特征的基础上,发现相对于溢流粒度曲线操作员的脑网络特征可以更全面地描述操作控制水平（特别在操作开始时间段）,采用脑网络特征识别操作控制水平在时间上超前于溢流粒度曲线识别方法.本研究对于将知识工作者的认知特征引入到流程工业控制中,具有一定的借鉴意义.     

从认知视角探讨广告的隐喻翻译

隐喻作为一种语言现象和认知行为,以其特有的修辞功能和表达效果在广告中得到广泛应用.作为译者,一方面要善于分析和理解原语中隐喻的语义和修辞特色,对隐喻所涉及的文化有深入的了解;另一方面,要善于运用多种翻译方法,对英汉广告中的隐喻成份进行恰当的诠释,从而更好地传达广告所要表达的意境,实现广告宣传的目的.     

Enclothed cognition and hidden meanings in important Ottoman textiles

This paper illustrates how hidden details in garment design may reveal important clues about the motives of the wearer or designer that are of considerable cultural relevance. We suggest these hidden design features may reflect key psychological factors previously not considered. We illustrate this by doing a multilevel analysis of two important sixteenth century examples of Ottoman court clothing from the Topkapi Palace Museum. We show that these garments contain early examples of the use of “enclothed cognition” where the designs themselves are likely to have influenced the mind of the wearer. We suggest that the historical-social analysis of clothing may benefit from considering the concealed, as well as the explicit, psychologically relevant design features. We suggest that psychosocial interpretations of clothing may help further our understanding of textile and apparel design more generally, even within an historical context.     

三峡船闸高边坡设计实践中几个问题的再认识

根据前期设计论证,三峡船闸上部边坡开挖达到基本自稳,辅以排水及锚固,下部为直立坡与薄混凝土衬砌闸墙相结合.在施工过程中,遇到如何控制边坡开挖形态与闸室结构型式,中隔墩岩体保留与利用,坡面块体,排水隧洞的完整性,锚索的结构型式及钢绞线的强度利用系数等一系列问题.这些问题在施工过程中进行了分析.并通过动态设计方法,得到了较好的解决.     

空间隐喻的英汉对比

以汉语的“上下“结构为例,从形式到意义上与对应的英语空间结构作比较,试图找出英、汉的空间隐喻在“状态、地位、数量“3个概念域中有何异同,并揭示空间关系背后的认知习惯.     

The influence of sad mood on cognition.

Neuroimaging has identified an overlapping network of brain regions whose activity is modulated by mood and cognition. Studies of depressed individuals have shown changes in perception, attention, memory, and executive functions. This suggests that mood has a pervasive effect on cognition. Direct evidence of the effect of sad mood on cognition is surprisingly limited, however. Published studies have generally addressed a single cognitive ability per study because the fleeting nature of laboratory-induced mood precludes extended testing, and robust findings are limited to mood effects on memory for emotional stimuli. In this study, sad mood was induced and prolonged, enabling the effects of mood to be assessed for an array of abilities, including those that share neural substrates with sad mood and those affected by depression. Sad mood affected memory for emotional words and facial emotion recognition, but not the other processes measured, with a significant nonuniformity of effect over tasks. These results are consistent with circumscribed effects of sad mood on certain emotion-related cognitive processes, but not on cognition more generally. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于FOABHC＿SVM的微电网短期负荷预测模型

为适应微电网的建设和发展对负荷预测效率及精度的要求,针对微电网负荷基数小、间歇性和随机性大等特点,提出一种基于历史认知果蝇优化算法（FOABHC）－优化支持向量机（SVM）的微电网短期负荷预测模型。以国内某微电网示范工程项目为例,将FOABHC＿SVM用于微电网短期负荷预测。实例仿真结果表明,所提出的FOABHC＿SVM预测模型优于SVM预测模型,更适用于当前微电网短期负荷预测需要。     

用多个对应的后向神经网络进行同杆双回线故障识别及测距的模式

电力系统高压同杆双回输电线的应用日益增多，但其故障识别与测距的问题尚未完全解决，同杆双回线因存在回路间耦合等因素，使得用单一的神经网络进行故障识别与测距的结果并不理想。作者比较分析了BP网络与Kohonen网络在同杆双回线测距方面的优缺点，提出了将故障识别与测距任务分配到多个网络的方法即将同杆双回线的每种故障模式各与一个BP人工神经网络对应，在线路上取一些固定点作为标志点，训练成功的BP网络输出的模糊值代表了标志点上发生故障的可能性。用模糊值构成插值曲线，根据曲线的相对位置确定故障模式，并由曲线的最小值求得故障距离。大量仿真表明该法可以准确可靠地确定故障模式并能测得较高的测距精度。     

基于用户认知的多媒体培训系统设计

分析了多媒体培训系统的特点，并指出了当前国内多媒体培训系统设计中存在的问题，根据实际开发经验和工业设计思想，提出了一种基于用户认知的多媒体培训系统设计方法，该方法已成功地运用于多媒体培训系统中，取得了良好的效果。