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Development of rotational pulse-echo ultrasonic propagation imaging system capable of inspecting cylindrical specimens

  • Ahmed, Hasan;Lee, Young-Jun;Lee, Jung-Ryul
    • Smart Structures and Systems
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    • v.26 no.5
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    • pp.657-666
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    • 2020
  • A rotational pulse-echo ultrasonic propagation imager that can inspect cylindrical specimens for material nondestructive evaluations is proposed herein. In this system, a laser-generated ultrasonic bulk wave is used for inspection, which enables a clear visualization of subsurface defects with a precise reproduction of the damage shape and size. The ultrasonic waves are generated by a Q-switched laser that impinges on the outer surface of the specimen walls. The generated waves travel through the walls and their echo is detected by a Laser Doppler Vibrometer (LDV) at the same point. To obtain the optimal Signal-to-Noise Ratio (SNR) of the measured signal, the LDV requires the sensed surface to be at a right angle to the laser beam and at a predefined constant standoff distance from the laser head. For flat specimens, these constraints can be easily satisfied by performing a raster scan using a dual-axis linear stage. However, this arrangement cannot be used for cylindrical specimens owing to their curved nature. To inspect the cylindrical specimens, a circular scan technology is newly proposed for pulse-echo laser ultrasound. A rotational stage is coupled with a single-axis linear stage to inspect the desired area of the specimen. This system arrangement ensures that the standoff distance and beam incidence angle are maintained while the cylindrical specimen is being inspected. This enables the inspection of a curved specimen while maintaining the optimal SNR. The measurement result is displayed in parallel with the on-going inspection. The inspection data used in scanning are mapped from rotational coordinates to linear coordinates for visualization and post-processing of results. A graphical user interface software is implemented in C++ using a QT framework and controls all the individual blocks of the system and implements the necessary image processing, scan calculations, data acquisition, signal processing and result visualization.

A Market and Experimental Research on the Advancement of Bamboo Folkcraft Product Design (죽세품 공예디자인 발전을 위한 시장조사 및 실험연구)

  • 한선주
    • Archives of design research
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    • v.14 no.2
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    • pp.27-36
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    • 2001
  • This study examines consumer\` and manufacturers\` perceptions and preference on the bamboo industry and bamboo craft products made in Korea. Also, this study investigates the possibilities of modem bamboo blind production by applying various new materials, techniques, and design patterns. The results of the survey to consumers and bamboo product manufacturers were that ordinary Korean consumers evaluated negatively the quality of bamboo products, particularly the design of them and the manufactures themselves evaluated negatively the design of their products and eagerly desired to team new design techniques for their product improvements. The result of experimental study was that the combinations of fabric materials, natural dyeing, and design techniques in the development of bamboo blinds yielded modernized bamboo blind image that could be appealed by consumers. This study could be judged as a good example for the modem recreation of traditional art. This study proposes the product devolvement and commercialization of traditional culture through the collaborations between bamboo craft industry and Universities.

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3D Object Location Identification Using Finger Pointing and a Robot System for Tracking an Identified Object (손가락 Pointing에 의한 물체의 3차원 위치정보 인식 및 인식된 물체 추적 로봇 시스템)

  • Gwak, Dong-Gi;Hwang, Soon-Chul;Ok, Seo-Won;Yim, Jung-Sae;Kim, Dong Hwan
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.24 no.6
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    • pp.703-709
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    • 2015
  • In this work, a robot aimed at grapping and delivering an object by using a simple finger-pointing command from a hand- or arm-handicapped person is introduced. In this robot system, a Leap Motion sensor is utilized to obtain the finger-motion data of the user. In addition, a Kinect sensor is also used to measure the 3D (Three Dimensional)-position information of the desired object. Once the object is pointed at through the finger pointing of the handicapped user, the exact 3D information of the object is determined using an image processing technique and a coordinate transformation between the Leap Motion and Kinect sensors. It was found that the information obtained is transmitted to the robot controller, and that the robot eventually grabs the target and delivers it to the handicapped person successfully.

A Study on High School Girls' Uniform Designs in Korea (여고생(女高生) 교복(校服) 디자인 연구(硏究))

  • Yoon, Hyun-Jung;Cho, Kyu-Hwa
    • Journal of Fashion Business
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    • v.6 no.5
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    • pp.27-40
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    • 2002
  • The purpose of this thesis is presenting desirable design of uniform which could reflect high school girls' demands with the researches on their consciousness of fashion and actual state of uniforms. Methods to accomplish this research include first, examinationson characteristics of high school girls and their consciousness of fashion with relevant articles, second, interviews with designers from major domestic uniform brands - ELITE, IVY, SMART - and third, analysis on related internet sites. Practical researches are followed by design analysis and proposal of improvement on high school girls' uniform, accompanied by collection of photographs from field studies, major uniform brands' shops and uniform related internet sites. Korean high school girls in the digital era are able to express themselves in each different fashion with own individuality, preference or intention, as they are particularly interested in clothes or their appearances. Their consciousness of fashion became visible in a shape of negative attitude and dissatisfaction with uniforms due to its out-of-date design, lack of features and inconvenience in action. Besides more than half of high school girls already experienced reforming it for better looks. As a result of current analysis on references of uniform designs, various levels of refinement were noticed even in uniform of similar details, design, fabric textile and color due to differences on size & length of jacket collar, dart, cutting line, size of details, decorative line, easiness in fit, length of clothes, and etc. To provide students of more refined and desired designs which reflect their demands, current uniforms are to begin acquiring delicate changes with present vogue and feature such as size of details, silhouette, cutting line, decorative line and etc. In addition newly designed uniforms are to present desirable design with image of refinement and neat as they actively comprehend students' needs within its symbolic, functional, economic and aesthetic characteristics by nature.

$L_2$-Norm Based Optimal Nonuniform Resampling (유클리드 norm에 기반한 최적 비정규 리사이징 알고리즘)

  • 신건식;엄지윤;이학무;강문기
    • Journal of Broadcast Engineering
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    • v.8 no.1
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    • pp.37-44
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    • 2003
  • The standard approach to signal resampling is to fit the original image to a continuous model and resample the function at a desired rate. We used the compact B-spline function as the continuous model which produces less oscillatory behavior than other tails functions. In the case of nonuniform resampling based on a B-spline model, the digital signal is fitted to a spline model, and then the fitted signal is resampled at a space varying rate determined by the transformation function. It is simple to implement but may suffer from artifacts due to data loss. The main purpose of this paper is the derivation of optimal nonuniform resampling algorithm. For the optimal nonuniform formulation, the resampled signal is represented by a combination of shift varying splines determined by the transformation function. This optimal nonuniform resampling algorithm can be verified from the experiments that It produces less errors.

MSaGAN: Improved SaGAN using Guide Mask and Multitask Learning Approach for Facial Attribute Editing

  • Yang, Hyeon Seok;Han, Jeong Hoon;Moon, Young Shik
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.5
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    • pp.37-46
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    • 2020
  • Recently, studies of facial attribute editing have obtained realistic results using generative adversarial net (GAN) and encoder-decoder structure. Spatial attention GAN (SaGAN), one of the latest researches, is the method that can change only desired attribute in a face image by spatial attention mechanism. However, sometimes unnatural results are obtained due to insufficient information on face areas. In this paper, we propose an improved SaGAN (MSaGAN) using a guide mask for learning and applying multitask learning approach to improve the limitations of the existing methods. Through extensive experiments, we evaluated the results of the facial attribute editing in therms of the mask loss function and the neural network structure. It has been shown that the proposed method can efficiently produce more natural results compared to the previous methods.

Implementation of a Display and Analysis Program to improve the Utilization of Radar Rainfall (레이더강우 자료 활용 증진을 위한 표출 및 분석 프로그램 구현)

  • Noh, Hui-Seong
    • Journal of Digital Contents Society
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    • v.19 no.7
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    • pp.1333-1339
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    • 2018
  • Recently, as disasters caused by weather such as heavy rains have increased, interests in forecasting weather and disasters using radars have been increasing, and related studies have also been actively performed. As the Ministry of Environment(ME) has established and operated a radar network on a national scale, utilization of radars has been emphasized. However, persons in charge and researchers, who want to use the data from radars need to understand characteristics of the radar data and are also experiencing a lot of trials and errors when converting and calibrating the radar data from Universal Format(UF) files. Hence, this study developed a Radar Display and Analysis Program(RaDAP) based on Graphic User Interface(GUI) using the Java Programming Language in order for UF-type radar data to be generated in an ASCII-formatted image file and text file. The developed program can derive desired radar rainfall data and minimize the time required to perform its analysis. Therefore, it is expected that this program will contribute to enhancing the utilization of radar data in various fields.

A STUDY ON THE FIT OF IMPLANT-RETAINED PROSTHESES USING ELECTRIC DISCHARGE MACHINING (전기방전가공법을 이용한 임플랜트 보철물의 적합도 연구)

  • Han Eu-Taek;Kim Yung-Soo;Kim Chang-Whe;Yang Jae-Ho
    • The Journal of Korean Academy of Prosthodontics
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    • v.39 no.1
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    • pp.1-13
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    • 2001
  • An absolutely passive fit at the interface with the superstructure and the abutment cylinders is need for implant longevity. In this study, a method of cast framework correction using spark erosion technology was evaluated. Electric discharge machining(EDM) is a process that uses electrical discharges, or sparks, to machine metal, The surface being machined is bombared with high-intensity electrical energy pulses that gradually melt away the stock until the desired configuration is obtained. Master model was fabricated by using metal block impression analogue, which fired 5 Branemark squared impression coping in an arc shaped metal block. Then framework using 4mm standard gold cylinder and type IV gold alloy was fabricated. In order to measure the fit of the framework we used both contact and noncontact coordinate measurement machine and data was processed by computer program. After superimposition of gold framework and master model numeric image data the distances between gold cylinder bearing surfaces and abutment replica bearing surfaces, and the angle deviations between gold cylinder and abutment replica centroid points were calculated. The results were as follows 1 The total mean distance (p<0.01) and standard deviation (p<0.001) between the gold cylinders and abutment bearing surfaces were significantly decreased after EDM 2. The total mean of maximum distances was significantly decreased after EDM (p<0.05). 3. After EDM, the mean angle deviation between centroid points was decreased.

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Face detection using fuzzy color classifier and convex-hull (Fuzzy Color Classifier 와 Convex-hull을 사용한 얼굴 검출)

  • Park, Min-Sik;Park, Chang-U;Kim, Won-Ha;Park, Min-Yong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.39 no.2
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    • pp.69-78
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    • 2002
  • This paper addresses a method to automatically detect out a person's face from a given image that consists of a hair and face view of the person and a complex background scene. Out method involves an effective detection algorithm that exploits the spatial distribution characteristics of human skin color via an adaptive fuzzy color classifier (AFCC), The universal skin-color map is derived on the chrominance component of human skin color in Cb, Cr and their corresponding luminance. The desired fuzzy system is applied to decide the skin color regions and those that are not. We use RGB model for extracting the hair color regions because the hair regions often show low brightness and chromaticity estimation of low brightness color is not stable. After some preprocessing, we apply convex-hull to each region. Consequent face detection is made from the relationship between a face's convex-hull and a head's convex-hull. The algorithm using the convex-hull shows better performance than the algorithm using pattern method. The performance of the proposed algorithm is shown by experiment. Experimental results show that the proposed algorithm successfully and efficiently detects the faces without constrained input conditions in color images.

Design of a GCS System Supporting Vision Control of Quadrotor Drones (쿼드로터드론의 영상기반 자율비행연구를 위한 지상제어시스템 설계)

  • Ahn, Heejune;Hoang, C. Anh;Do, T. Tuan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.10
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    • pp.1247-1255
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    • 2016
  • The safety and autonomous flight function of micro UAV or drones is crucial to its commercial application. The requirement of own building stable drones is still a non-trivial obstacle for researchers that want to focus on the intelligence function, such vision and navigation algorithm. The paper present a GCS using commercial drone and hardware platforms, and open source software. The system follows modular architecture and now composed of the communication, UI, image processing. Especially, lane-keeping algorithm. are designed and verified through testing at a sports stadium. The designed lane-keeping algorithm estimates drone position and heading in the lane using Hough transform for line detection, RANSAC-vanishing point algorithm for selecting the desired lines, and tracking algorithm for stability of lines. The flight of drone is controlled by 'forward', 'stop', 'clock-rotate', and 'counter-clock rotate' commands. The present implemented system can fly straight and mild curve lane at 2-3 m/s.