负关联规则增量更新算法

讨论负关联规则的更新问题。与正关联规则增量更新不同,负关联规则不仅存在于频繁项集中,更多存在于非频繁项集中。针对该问题提出一种负关联规则增量更新算法NIUA,利用改进的Apriori算法以及集合的性质挖掘出频繁、非频繁项集和负关联规则。实验结果表明,该算法是可取的。     

多数据库中的负关联规则挖掘技术及发展趋势

负关联规则反映了数据项之间的互斥关系,能提供很多有用的信息,在决策支持中起重要作用,但现行的挖掘算法主要是针对单一数据库的挖掘,多数据库中负关联规则的挖掘还未引起重视。该文介绍负关联规则的研究现状、主要挖掘方法以及冗余正负关联规则的修剪方法,对多数据库中关联规则挖掘研究现状和主要技术进行论述,并展望多数据库中负关联规则挖掘的发展趋势。     

Research on immune algorithm for mobile phone viruses detection

In responds to the problem that mobile phone viruses is much more serious but the detection technology for them is not maturity, there is a new way for mobile phone viruses detection. Which is based on the viruses＇ work principle and infection ways, introduced immune algorithm into computer viruses defense detection and set up mobile phone viruses detection model based on minus select immune algorithm. At the same time, it also made analysis on immune algorithm viruses detection and found an approach to probing to mobile phone viruses.     

基于神经网络集成的Windows病毒检测方法研究

该文针对Win32PE病毒种类多,破坏力强的特点,提出一种基于神经网络集成的病毒检测方法。神经网络集成采用负相关学习方法进行训练,采用n-gram特征字统计方法得到病毒特征字,计算特征字信息条件熵,来选择作为训练样本的特征字。实验结果表明,神经网络集成改善了传统的特征字比对法不能识别新的病毒,容易被病毒制造者克服的缺点,在保证对Win32PE病毒较高的检测率的同时保持了较低的误检率。     

模糊知识的三种否定及其集合基础

对于模糊知识中"否定"的认知与处理,文中从概念层面上区分模糊知识中的矛盾否定关系与对立否定关系,研究发现了模糊知识中存在一规律:一对对立的概念为模糊概念,则它们之间必然存在"中介"的模糊概念;反之,如果一对对立的概念之间存在中介的模糊概念,则对立的概念必然是模糊概念.因此,作者提出在模糊知识的否定关系中存在三种不同的否定关系,即矛盾否定关系、对立否定关系和中介否定关系,并给出它们的形式定义.为了能够刻画这些关系的内在性质与联系,作者提出了一种新的具有矛盾否定、对立否定和中介否定的模糊集FSCOM,并讨论了FSCOM的特征、FSCOM的基本运算与性质以及FSCOM与Zadeh模糊集的关系等.在后续文中将表明,FSCOM是一种处理实际中的模糊知识及其各种否定的有效方法.     

电网电压不平衡条件下并网逆变器的研究

采用一种具有双参数控制的结构实现并网运行和负序电流的消除,直流侧的电压控制环作为并网的基础控制,同时提取电网电压和逆变器输出电压的负序分量并加以控制,当两者相等时就可以达到消除负序电流的目的,然后对负序电压的获取以及电流的跟踪控制作了分析。最后利用Matlab/Simulink对系统进行仿真,验证了系统的可行性。     

Structure and function of maladaptive cognitions in Pathological Internet Use among Chinese adolescents

This study empirically investigated the structure and function of maladaptive cognitions related to Pathological Internet Use (PIU) among Chinese adolescents. To explore the structure of maladaptive cognitions, this study validated a Chinese Adolescents’ Maladaptive Cognitions Scale (CAMCS) with two samples of adolescents (n1 = 293 and n2 = 609). The results of the exploratory factor analysis and confirmatory factor analysis revealed that CAMCS included three distinct factors, namely, “social comfort,” “distraction,” and “self-realization.” To examine the function of maladaptive cognitions, this study tested an updated cognitive-behavioral model in the third sample of 1059 adolescents. The results of structural equation model analyses verified both the direct effect of maladaptive cognitions on PIU and their mediating role in the relationships between distal factors (social anxiety and stressful life events) and PIU among Chinese adolescents. Theoretical and practical implications of these findings were discussed.     

一种竹丝正反面辨识传感器及其辨识方法

为了解决竹席编织自动送丝系统中准确区分原料竹丝正反面的问题,设计了一种竹丝正反面辨识传感器。传感器机械结构与竹丝反面中心凹槽构成光通道,红外光经过该光通道传播至红外光敏三极管,通过检测三极管的c-e极电流可测得红外线的光通量,进而识别出竹丝的正反两面。此外,还研究了单个传感单元对竹丝正反两面输出电流的分布曲线,并给出了一种同质多传感单元条件下的融合策略。经实验,该传感器能快速准确地识别原料竹丝的正反面,为实现竹席编织自动送丝系统提供了基础。     

Cognitive Processing of Emotional Information in Depression, Panic, and Somatoform Disorder.

Emotional Stroop tasks (subliminal/supraliminal exposures), implicit memory tasks (tachistoscopic word identification), and explicit memory tasks (free recall after incidental learning) with 4 word types (physical threat, positive, negative, and neutral words) were administered to patients with major depressive disorder (n = 30), panic disorder (n = 33), somatoform disorder (n = 25), and healthy control participants (n = 33). On the Stroop task, panic patients showed subliminal interferences for physical threat and negative words, depressive patients showed supraliminal interferences for negative words, and somatoform patients showed supraliminal interferences for physical threat words. No patient groups demonstrated implicit memory biases. On the explicit memory task, depressive and panic patients showed memory biases for negative words; somatoform patients showed biases for physical threat words. (PsycINFO Database Record (c) 2010 APA, all rights reserved)