Face detection using discriminating feature analysis and Support Vector Machine

This paper presents a novel face detection method by applying discriminating feature analysis (DFA) and support vector machine (SVM). The novelty of our DFA-SVM method comes from the integration of DFA, face class modeling, and SVM for face detection. First, DFA derives a discriminating feature vector by combining the input image, its 1-D Haar wavelet representation, and its amplitude projections. While the Haar wavelets produce an effective representation for object detection, the amplitude projections capture the vertical symmetric distributions and the horizontal characteristics of human face images. Second, face class modeling estimates the probability density function of the face class and defines a distribution-based measure for face and nonface classification. The distribution-based measure thus separates the input patterns into three classes: the face class (patterns close to the face class), the nonface class (patterns far away from the face class), and the undecided class (patterns neither close to nor far away from the face class). Finally, SVM together with the distribution-based measure classifies the patterns in the undecided class into either the face class or the nonface class. Experiments using images from the MIT-CMU test sets demonstrate the feasibility of our new face detection method. In particular, when using 92 images (containing 282 faces) from the MIT-CMU test sets, our DFA-SVM method achieves 98.2% correct face detection rate with two false detections.     

井下CO2测量技术在亚太地区的首次现场应用

在建立储层连通性的过程中,储层所固有的不确定性总是油藏管理中存在的问题。鉴于延长生产试验可能费用过高或不可行,使用测井资料、岩心资料和地震资料等相关的标准方法有时并不充分。基于储层流体的组合差异,现在开始越来越多地使用地球化学技术来确定储层的连通性。在世界许多油藏中,CO2是一种关键的气体成分。同一个油田的两个油藏,其中一个位于澳大利亚的Browse盆地,一个位于马来西亚的马来盆地。CO2的含量从一个区域到另一个区域浓度由低到高变化很大。此外,对储层流体试样中CO2精确的定量分析可能比较困难,尤其当采集试样中含水时,其难度会更大,这是由于CO2容易和泥浆滤液或地层水反应的结果。因此,油田水基泥浆（WBM）钻井中,为CO2定量分析所采集的试样应尽可能地减小污染。本文介绍的油田实例均来自亚太地区,此地区已开始使用新一代电缆地层测试器（WFT）和先进的井底流体分析器（DFA）来获取高质量的PVT试样并对CO2进行实时测量。对同一区域的先前勘探井所获得的碳氢化合物进行试样分析,如果分析结果显示出CO2含量发生很大变化时,就必须对取样方法进行改良,改良后的方法使用先进的DFA测量仪器,能够精确地测量流体成分时刻在发生变化的大量储层中的CO2浓度。本文也讨论了不同储层流体变化条件下获取高质量PVT试样所遇到的操作性问题以及所面临的挑战。     

cis-1,3,4,6-Tetranitrooctahydroimidazo-[4,5-d]imidazole (BCHMX), its properties and initiation reactivity

Pre-treatment of simulated industrial wastewaters (SIM1, SIM2 and SIM3) containing organic and inorganic compounds (1,2-dichloroethane, sodium formate, sodium hydrogen carbonate, sodium carbonate and sodium chloride) by oxidative degradation using homogeneous Fenton type processes (Fe²⁺/H₂O₂ and Fe³⁺/H₂O₂) has been evaluated. The effects of initial Fe²⁺ and Fe³⁺ concentrations, [Fe^2+/3+], type of iron salt (ferrous sulfate vs. ferric chloride), initial hydrogen peroxide concentration, [H₂O₂], on mineralization extent, i.e., total organic content (TOC) removal, were studied. Response surface methodology (RSM), particularly Box–Behnken design (BBD) was used as modelling tool, and obtained predictive function was used to optimize the overall process by the means of desirability function approach (DFA). Up to 94% of initial TOC was removed after 120 min. Ferrous sulfate was found to be the most appropriate reagent, and the optimal doses of Fe²⁺ and H₂O₂ for reducing the pollutant content, in terms of final TOC and sludge production were assessed.     

Time estimation method for manual assembly using MODAPTS technique in the product design stage

This paper aims to propose an accurate and quick assembly time estimation method using the modular arrangement of predetermined time standards in the product design stage. It describes a classification of 2382 assembly operations that are incurred in manually assembling consumer electronics such as air conditioners, washing machines and refrigerators, and a method of choosing representative motions comprising work elements by examining the frequency distribution of the assembly operation’s motions. It then presents criteria for assigning time values associated with the movement of the representative motions using the design factors employed in design for assembly and the layout factors of an assembly line. A case study then presents the practicality of the method, the statistical results of which indicate that the proposed method would be accurate enough for practical purposes.     

面向装配的CAD技术研究

面向装配的设计DFA(Design for Assembly）是并行工程的一个有效工具。本文系统阐述了DFA的发展 、意义及其与传统的考虑装配工艺性的区别;介绍DFA的主要内容和几个典型的DFA分析方法,重点分析Boothroyd-Dewhurst方法和步骤;叙述集成CAD技术的DFA应解决的问题及典型的DFA分析软件;最后总结了DFA的研究特点。     

Learning commutative deterministic finite state automata in polynomial time

We consider the problem of learning the commutative subclass of regular languages in the on-line model of predicting {0,1∼-valued functions from examples and reinforcements due to Littlestone [7,4]. We show that the entire class of commutative deterministic finite state automata (CDFAs) of an arbitrary alphabet sizek is predictable inO(s ^k) time with the worst case number of mistakes bounded above byO(s ^kk logs), wheres is the number of states in the target DFA. As a corollary, this result implies that the class of CDFAs is also PAC-learnable from random labeled examples in timeO(s ^k) with sample complexity, using a different class of representations. The mistake bound of our algorithm is within a polynomial, for a fixed alphabet size, of the lower boundO(s+k) we obtain by calculating the VC-dimension of the class. Our result also implies the predictability of the class of finite sets of commutative DFAs representing the finite unions of the languages accepted by the respective DFAs. Part of this work was supported by the Office of Naval Research under contract number N00014-87-K-0401 while the author was at the Department of Computer and Information Science, University of Pennsylvania, and N0014-86-K-0454 while at the Department of Computer and Information Sciences, U.C. Santa Cruz. The author’s email address is abe@IBL.CL.nec.co.jp     

有限状态自动机的C#实现

基于Visual C#语言实现了有限状态自动机.该自动机具有小巧轻便、简单易用的优点,可应用于程序复杂界面的操作与控制.     

正则表达式匹配引擎性能分析

正则表达式具有强大的描述能力,在计算机领域,正则表达式匹配技术应用十分广泛。目前,已经有多个正则表达式匹配引擎,在实际应用中,对于不同的匹配规则集和正则语法,不同的匹配引擎会有不同的性能表现。本文通过对PCRE、Greta、Boost、RE2四种常用正则表达式匹配引擎的性能测试,给出在不用的正则语法情况下的匹配速度,并深入分析不同坏境下适用的正则表达式匹配引擎。对实际系统设计中正则表达式库的选择有指导意义。     

图形识别的有限自动机方法

针对工程图中具有某种特殊意义的图形符号(如粗糙度、标高符号等),研究了确定性有限自动机识别矢量图形的方法.从DFA出发,构造待识别图形符号的状态集合以及状态间的转换关系,然后通过搜索图形元素集合以及一定的条件进行状态转换,根据其最终所处状态判断识别结果.     

Detrended Fluctuation Analysis of the Human EEG during Listening to Emotional Music

A nonlinear method named detrended fluctuation analysis （DFA） was utilized to investigate the scaling behavior of the human electroencephalogram （EEG） in three emotional music conditions （fear, happiness, sadness） and a rest condition （eyes-closed）. The results showed that the EEG exhibited scaling behavior in two regions with two scaling exponents β1 and β2 which represented the complexity of higher and lower frequency activity besides α band respectively. As the emotional intensity decreased the value of β1 increased and the value of β2 decreased. The change of β1 was weakly correlated with the ＇approach-withdrawal＇ model of emotion and both of fear and sad music made certain differences compared with the eyes-closed rest condition. The study shows that music is a powerful elicitor of emotion and that using nonlinear method can potentially contribute to the investigation of emotion.