Sensitivity Analysis of Inspection for Reliability-Based Composite Material Design Based on Human Factor

基于人为因素的复合材料可靠性设计检验灵敏度分析

• 批准号: 15560088
• 负责人: NAKAYASU Hidetoshi
• 金额: $ 1.73万
• 依托单位: Konan University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2003
• 资助国家: 日本
• 起止时间: 2003 至 2006
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15560088/
• 关键词: Reliability Design; Defect Inspection; Composite Materials; Sensory Test; Human Error; Detection Probability; 画像属性; 画像診断; マルチモダリティ; 感能検査; 相関; 恒常刺激法; 人工知能; 視覚情報処理; 外観検査

Recently, an evaluation method of detection probability has been proposed by the authors for the measurement and evaluation of the industrial products based on the human detectable ability. In the psychometric mesurement, distributed parameta of pychometric curve had been presumed using Probit method concerning the three kinds of atribute of size, flatness degree and grayscale. Moreover, in this thesis, we propose an efficient method for the experiment and evaluation by Staircase method for the practical uses, and the detection probability of Staircase method is compared with that of Probit method, taking an example of experiments in which the methods are applied to measure the perception stimulation of panels, or subjects, concerning the three atributes that are extracted from the defect images in the inspection of FRP (fiber reinforced plastics) poroduct. In conclusion, the proposed method will be overviewed its efficiency and proved for the practical estimation uses of the parameter … More of pychometric function. From these works, the following three points are conclusions.1.Staircase method, the proposed evaluation method, showed that the experiment efficiency could be improved in the comparison with Probit method. In the actual experiment, the proposed method could reduce the number of trials to 43% or less compared with Probit method. As a result, it has indicated that it is effective to reduce the burden of panel in defect detection work.2.As for the PSE (subjective, equivalent value) mean value by Staircase method, a close value to the result of parameter estimation by Probit method was obtained. As a result, the practical possibility as a threshold of automatic check has been proved to be as good as Probit method.3.When the proposal technique was applied to perception stimulation with the three attributes extracted from defect image of FRP product, the coefficient of variations of subjective, equivalent value (PSE) proved larger than the result by Probit method in any attributes. Therefore, this result has indicated that proper attention is to be paid when the presumption is made at the confidence interval using decentralization and standard deviation. Less

最近，作者提出了一种基于人的可探测能力的检测概率评估方法，用于工业产品的测量和评估。在心理测量中，采用Probit方法，对尺寸、平整度和灰度三种属性的比重曲线分布参数进行了推测。此外，本文还提出了一种基于Staircase方法的有效的实验和评估方法，并以测试面板或被试的感知刺激为例，比较了Staircase方法和Probit方法的检测概率。针对FRP（Fiber Reinforced Plastics）制品检测中缺陷图像提取的三个特征，最后，本文将对所提出的方法的有效性进行综述，并证明该方法可用于参数的实际估计 ...更多信息 pychometric函数通过这些工作，得到以下三点结论：1.与Probit法相比，阶梯法可以提高实验效率。在实际实验中，与Probit方法相比，该方法可以将实验次数减少到43%以下。结果表明，该方法能有效地减轻面板在缺陷检测工作中的负担。2.对于Staircase法的PSE（主观等效值）均值，得到了与Probit法参数估计结果接近的值。将该方法应用于FRP制品缺陷图像中提取的3个属性的感知模拟，在任一属性上主观等效值（PSE）的变异系数均大于Probit方法的结果。因此，这一结果表明，当使用分散性和标准差在置信区间上进行推定时，应给予适当的注意。少

项目成果

M.Nakagawa, H.Nakayasu: "Human Oriented Intelligence Image Processing System for Integrated Visual Inspection"Proc.10^<th> Int.Conf.Human-Computer Interaction Symposium on Human Interface, 22-27 June 2003,Creta, Greece. 814-818 (2003)

M.Nakakawa、H.Nakayasu：“用于集成视觉检测的面向人类的智能图像处理系统”Proc.10^<th> Int.Conf.人机交互人机交互研讨会，2003 年 6 月 22-27 日，希腊克里特岛。

K.Yamanaka, H.Nakayasu, K.Maeda: "Estimation of Useful Field of View on the Situation of Driving Work"Proc.10^<th> Int.Conf.Human-Computer Interaction Symposium on Human Interface, 22-27 June 2003,Creta, Greece. 904-908 (2003)

K.Yamanaka、H.Nakayasu、K.Maeda：“驾驶工作情况下有用视野的估计”Proc.10^<th> Int.Conf.人机交互人机交互研讨会，6 月 22-27 日

Visual Evoked Potentials for Image Quality Assessment with Scale Space Approach

使用尺度空间方法进行图像质量评估的视觉诱发电位

• 发表时间: 2006
• 期刊: Proceedings of the 2006 IEEE International Conference on System, Man and Cybernetics Vol.6
• 作者: Hidehiko Hayashi;Hidetoshi Nakayasu
• 通讯作者: Hidetoshi Nakayasu

Recognition-Probability-Based Useful Field of View by Probit Method

基于 Probit 方法的基于识别概率的有用视场

• 发表时间: 2004
• 期刊: Proc. 2004 International Wokshop on Robot and Human Interactive Communication, Kurashiki, Sept. 20-22
• 作者: K.Yamanaka;H.Nakayasu;F.Miyoshi
• 通讯作者: F.Miyoshi

M.Nakagawa, H.Nakayasu: "Measurement and Evaluation of Human Performance and Its Application to Intelligence Image Recognition for Visual Inspection"Proc.15th Triennial Congress of the International Ergonomics Association, IEA2003,August 24-29,2003 Seoul,

M.Nakakawa、H.Nakayasu：“人类表现的测量和评估及其在视觉检查智能图像识别中的应用”Proc.15th Triennial Conference of the International Ergonomics Association，IEA2003，2003年8月24-29日首尔，