Off-axis fatigue cracking behaviour in notched fibre metal laminates

The off‐axis fatigue cracking behaviour of notched fibre metal laminates under constant amplitude loading conditions was investigated experimentally and numerically. It was found that the off‐axis fatigue crack initiation life decreased as the off‐axis angles increased. This indicated that the off‐axis laminates raised the applied stress level in the aluminium (Al) layer and subsequently resulted in earlier cracking in the Al layer. The off‐axis fatigue crack initiation lives of notched fibre metal laminates were predicted using lamination theory and an energy‐based critical plane fatigue damage analysis from the literature. After a crack initiated in the Al layer, it was observed that the crack path angles of the off‐axis specimens were neither perpendicular to the fibre nor to the loading direction. A finite‐element model was established for predicting the crack path angles.     

PERSONALITY CORRELATES OF FREE-ASSOCIATIVE SEX RESPONSES TO DOUBLE-ENTENDRE WORDS.

SEX RELATED RESPONSES GIVEN IN FREE ASSOCIATION TO DOUBLE-ENTENDRE WORDS WERE RELATED TO THE PERSONALITY VARIABLES OF SEX GUILT, NEED FOR HETEROSEXUALITY, AND THE SOCIAL DESIRABILITY RESPONSE SET. TESTING WAS CONDUCTED INDIVIDUALLY. VARIABLES OF SEX GUILT, SEXUAL MOTIVE STRENGTH, AND SOCIAL DESIRABILITY RESPONSE TENDENCY WERE MEASURED RESPECTIVELY BY THE MOSHER FORCED-CHOICE GUILT SCALE, THE EPPS, AND THE MARLOW-CROWNE SOCIAL DESIRABILITY SCALE. RESULTS INDICATED A POSITIVE RELATIONSHIP BETWEEN NEED FOR HETEROSEXUALITY AND ASSOCIATIVE SEXUAL RESPONSES, AND A NEGATIVE RELATIONSHIP BETWEEN SEX GUILT AND SEXUAL RESPONSIVITY. CONTRARY TO PREDICTION, ASSOCIATIVE SEXUAL RESPONSES WERE UNRELATED TO THE SOCIAL DESIRABILITY RESPONSE TENDENCY. DATA ALSO SHOWED A SIGNIFICANT NEGATIVE RELATION BETWEEN SEX GUILT AND SEXUAL NEED STRENGTH, AND A LOW POSITIVE RELATION BETWEEN SEX GUILT AND SOCIAL DESIRABILITY. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Real-Time Front Vehicle Detection Algorithm Based on Local Feature Tracking Method

This paper proposes an algorithm that extracts features of back side of the vehicle and detects the front vehicle in real-time by local feature tracking of vehicle in the continuous images.The features in back side of the vehicle are vertical and horizontal edges,shadow and symmetry.By comparing local features using the fixed window size,the features in the continuous images are tracked.A robust and fast Haarlike mask is used for detecting vertical and horizontal edges,and shadow is extracted by histogram equalization,and the sliding window method is used to compare both side templates of the detected candidates for extracting symmetry.The features for tracking are vertical edges,and histogram is used to compare location of the peak and magnitude of the edges.The method using local feature tracking in the continuous images is more robust for detecting vehicle than the method using single image,and the proposed algorithm is evaluated by continuous images obtained on the expressway and downtown.And it can be performed on real-time through applying it to the embedded system.     

Separated Same Rectangle Feature for Face Detection

The paper proposes a new method of "Separated Same Rectangle Feature (SSRF)" for face detection.Generally,Haar-Like feature is used to make an Adaboost training algorithm with strong classifier.Haar-like feature is composed of two or more attached same rectangles,Inefficiency of the Haar-like feature often results from two or more attached same rectangles.But the proposed SSRF are composed of two separated same rectangles.So,it is very flexible and detailed.Therefore it creates more accuate strong classifier than Haar-Like feature.SSRF uses integral image to reduce executive time.Haar-Iike feature calculates the sum of intensities of pixels on two or more rectangles.But SSRF always calculates the sum of in-tensities of pixels on only two rectangles.The weak classifier of Ada-boost algorithm based on SSRF is faster than one based an Haar-likefeature.In the experiment,we use 1 000 face images and 1 000non-face images for Adaboost training.The proposed SSRF shows about 0,9% higher accuracy than Haar-Iike features.     

Development of Independent Moving Puppet Robot

This paper is about the automation of the marionette performance.A method to solve the problem on the mobility of the automated marionette performance is proposed.Since it is difficult to control the marionette by hands,as an alternative,the automated marionette is studied.Hovever,the automatic marionette performance is limited in the silence and mobility.Therefore,an independent shifter to move freely on the stage is required.The magnetic device which connects the movable robot and the marionette controlling robot is conceived.The magnetic device is improved and applied by considering the features of the marionette robot,which is the irregular movement of the marionette controller and of the parallel limited area.The burden of being trapped on the magnet is minimized by dividing the robot to the upper and lower parts of the marionette performance stage.The direction of the magnet is considered to make the mobile robot to move freely.Thus,the efficiency and safety of the device is confirmed by balancing the strength with the permanent magnet.     

THE FLAT LAMINAR OPPOSED JET DIFFUSION FLAME:A NOVEL TOOL FOR KINETIC STUDIES OF TRACE SPECIES FORMATION

The flat laminar opposed jet diffusion flame was used to determine net rates of formation and destruction of nitric oxide under a wide range of temperatures and local fuel concentrations. In order to accomplish this the theoretical model of this flame was first validated with respect to experimental data on major species and temperature. Then the measured NO and temperature profiles were utilized in conjunction with the species conservation equation to obtain the desired result.     

Extended Active Contour Algorithm Based on Color Variance

General active contour algorithm,which uses the intensity of the image,has been used to actively segment chjects.Because the cbjects have a similar intensity but different colors,it is difficult to segment any object from the others.Moreover,this algorithm can only be used in the simple environment since it is very sensitive to noise.In order to solve these problems.This paper proposes an extended active contour algarithm based on a color variance.In complex images,the color variance energy as the image energy is introduced into the general active contour algorithm.Experimental results show that the proposed active contour algorithm is very effective in various environments.