• Title/Summary/Keyword: Bang Machine

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A Study on the Application of Genetic Algorithms and Fuzzy System to GAS Identification System (가스 식별 시스템 설계를 위한 유전알고리즘과 퍼지시스템 적용에 관한 연구)

  • Bang, Young-Keun;Haibo, Zhao;Lee, Chul-Heui
    • Journal of Industrial Technology
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    • v.31 no.B
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    • pp.45-50
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    • 2011
  • Recently, machine olfactory systems that have been proposed as an artificial substitute of the human olfactory system are being studied by many researchers because they can scent dangerous gases and identify the type of gases in contamination areas instead of the human. In this paper, we present an effective design method for the gas identification system. The design method adopted the sequential combination between genetic algorithms and TSK fuzzy logic system. First, the proposed method allowed the designed gas identification system effectively performing the pattern analysis because it was able to avoid the curse of dimensionality caused by use of a large number of sensors. Secondly, the method led the gas identification system to good performance because it was able to deal with drift characteristics of the sensor data by using description ability of the fuzzy system for nonlinear data. In simulation, we demonstrated the effectiveness of the designed gas identification system by using the simulation results of five types of gases.

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A Study on the Prediction of Bead Geometry for Lab Joint Fillet Welds Using Sensitivity Analysis (민감도 분석을 이용한 겹치기 필릿용접부 비드형상 예측에 관한 연구)

  • Jeong, Jae-Won;Kim, Ill-Soo;Kim, Hak-Hyoung;Kim, In-Ju;Bang, Hong-In
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.6
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    • pp.49-55
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    • 2008
  • Arc welding process is one of the most important technologies to join metal plates. Robotic welding offers the reduced manufacturing cost sought, but its widespread use demands a means of sensing and correcting for inaccuracies in the part, the fixturing and the robot. A number of problems that need to be addressed in robotic arc welding processes include sensing, joint tracking, and lack of adequate models for process parameter prediction and quality control. Problems with parameter settings and quality control occur frequently in the GMA(Gas Metal Arc) welding process due to the large number of interactive process parameters that must be set and accurately controlled. The objectives of this paper are to realize the mapping characteristics of bead width using a sensitivity analysis and develop the neural network and multiple regression method, and finally select the most accurate model in order to control the weld quality(bead width) for fillet welding. The experimental results show that the proposed neural network estimator can predict bead width with reasonable accuracy, and guarantee the uniform weld quality.

Damage Detection of Railroad Tracks Using Piezoelectric Sensors (압전센서를 이용하는 철로에서의 손상 검색 기술)

  • Yun Chung-Bang;Park Seung-Hee;Inman Daniel J.
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2006.04a
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    • pp.240-247
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    • 2006
  • Piezoelectric sensor-based health monitoring technique using a two-step support vector machine (SYM) classifier is discussed for damage identification of a railroad track. An active sensing system composed of two PZT patches was investigated in conjunction with both impedance and guided wave propagation methods to detect two kinds of damage of the railroad track (one is a hole damage of 0.5cm in diameter at web section and the other is a transverse cut damage of 7.5cm in length and 0.5cm in depth at head section). Two damage-sensitive features were extracted one by one from each method; a) feature I: root mean square deviations (RMSD) of impedance signatures and b) feature II: wavelet coefficients for $A_0$ mode of guided waves. By defining damage indices from those damage-sensitive features, a two-dimensional damage feature (2-D DF) space was made. In order to minimize a false-positive indication of the current active sensing system, a two-step SYM classifier was applied to the 2-D DF space. As a result, optimal separable hyper-planes were successfully established by the two-step SYM classifier: Damage detection was accomplished by the first step-SYM, and damage classification was also carried out by the second step-SYM. Finally, the applicability of the proposed two-step SYM classifier has been verified by thirty test patterns.

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Numerical Analysis of Heavy-weight Impact Noise for Apartment Units Considering Acoustic Mode (음향모드를 고려한 공동주택 중량충격음 소음해석)

  • Mun, Dae-Ho;Park, Hong-Gun;Hwang, Jae-Seung;Hong, Geon-Ho;Im, Ju-Hyeuk
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.22 no.7
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    • pp.676-684
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    • 2012
  • Numerical analysis was performed to investigate the heavy-weight impact noise of apartment houses. The FEM is practical method for prediction of low-frequency indoor noise. The results of numerical analysis, the shape of the acoustic modes in room-2 are similar to that of acoustic pressure field at the fundamental frequency of acoustic modes. And the acoustic pressure was amplified at the natural frequency of the acoustic modes and structural modes. The numerical analysis result of sound pressure level at 63 Hz and 125 Hz octave-band center frequency are similar to the test results, but at 250 Hz and 500 Hz have some errors. Considering most of bang-machine force spectrum exists below 100 Hz, the noise at 250 Hz and 500 Hz are not important for heavy-weight impact noise. Thus, the FEM numerical analysis method for heavy-weight impact noise can apply to estimate heavy-weight impact noise for various building systems.

A Study on the textiles of the Age of Kojosun Booyeo and Kogooreo which were excabated in the East and Nort Area of China. (중국 동북지역에서 출토된 고조선, 포여, 고구려시대의 직물 연구)

  • 심연옥
    • Journal of the Korean Society of Costume
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    • v.22
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    • pp.61-70
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    • 1994
  • the purpose of study is to grasp the actual state of the textiles of Kojosun, Booyeo and Kogooryeo, by examining and studying about the excavated article of the textile of the Booyeo Age which was being gamered in the Research Institute of Study of antiquities of Civilization of gilimsung without being analyzed and examined after being excavated at September in 1990 and 1993, the textile of Kojosun Age wich was excavated and examined at East and North Gilimsung in China and the textile excavated and examined at the Kogooryeo grave at jiban China. 1. The kinds of textiles of Booye Age are warp kum plin weave silk plain weave bang gong Sa, and drawn and dyed textile, It is deemed that the real state of keum, Jeung and Hwi in the old literature of Sam guk Ji was grasped. 2. It emerges that more detailed wool than the wool fabric of China area of the same age was manufactured as the textile of Kojosun Age. hemp cloth corresponds to 12 Seung, in converting into fabric width of 50cm. 3. Keum was examined and reported as the textile of Kogooryeo Age and the real state of Woonkeum of Kogooryeo Age was grasped through "Wang ja moon keum" of Keumjang of mural of South and North I room of the grave that the same keum was excavated. The real state of dyed textile of hemp was grasped as the red hemp cloth was examined. Moreover the real state of development of advanced technique to weave with machine appeared by the grasp of inclination of loom with reed of Kogooryeo.Kogooryeo.

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Adaptive Speech Emotion Recognition Framework Using Prompted Labeling Technique (프롬프트 레이블링을 이용한 적응형 음성기반 감정인식 프레임워크)

  • Bang, Jae Hun;Lee, Sungyoung
    • KIISE Transactions on Computing Practices
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    • v.21 no.2
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    • pp.160-165
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    • 2015
  • Traditional speech emotion recognition techniques recognize emotions using a general training model based on the voices of various people. These techniques can not consider personalized speech character exactly. Therefore, the recognized results are very different to each person. This paper proposes an adaptive speech emotion recognition framework made from user's' immediate feedback data using a prompted labeling technique for building a personal adaptive recognition model and applying it to each user in a mobile device environment. The proposed framework can recognize emotions from the building of a personalized recognition model. The proposed framework was evaluated to be better than the traditional research techniques from three comparative experiment. The proposed framework can be applied to healthcare, emotion monitoring and personalized service.

The Effect of Aerated Concrete containing Foam Glass Aggregate on the Floor Impact Sound Insulation (발포유리 혼합기포 콘크리트의 바닥충격음 차단성능 영향에 관한 연구)

  • Yun, Chang-Yeon;Jeong, Jeong-Ho;Kim, Myung-Jun
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.23 no.5
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    • pp.414-422
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    • 2013
  • As structure-borne sound, the floor impact sound is one of the serious noises in residential building. Most of heating system applied to the typical Korean residential building is floor heating system which is called ondol. The ondol usually consists of finishing material, mortar with heating coil, light-weight aerated concrete and reinforced concrete. This study focused on the isolation of heavy-weight impact sound and modification of mortar and light-weight aerated concrete. Specifically the glass foam aggregate was added on light-weight aerated concrete. Also, water-cement ratio and amount of cement on mortar were revised. The sound pressure level of heavy-weight impact was measured in reverberation chamber using both bang-machine and impact ball. The size of specimen was 1 m by 1 m. Substitution ratio of glass foam aggregate on light-weight aerated concrete shows relationship with heavy-weight impact sound pressure level. In addition, heavy-weight impact sound pressure level was decreased with increment of water-cement ratio and amount of cement on mortar.

Characteristics of Impact Force and Floor Impact noise for Man Walking and Standard Impact Sources (보행과 표준중량충격원의 충격력 및 바닥충격음 특성)

  • Park, Hong-Gun;Mun, Dae-Ho
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2014.10a
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    • pp.216-224
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    • 2014
  • 층간소음의 대부분의 원인이 아이들 뛰거나 발걸음으로 나타나고 있어 층간소음 저감을 위한 선행 연구로 층간소음의 주요 충격원인 보행 행위에 대한 정밀한 연구가 필요하다. 성인 보행 충격력과 그에 따른 바닥충격음을 계측하여 보행하중이 바닥충격음에 영향을 주는 요소를 분석하였다. 보행하중 중 발 뒤꿈치 충격력은 전체 충격하중을 주파수 특성을 대변할 수 있는 임펄스 형태의 하중으로 충격력은 뱅머신 또는 고무공보다 낮지만 1 차 영점(First zero)이 80Hz 정도로 높아 유효 가진 주파수 대역이 표준 중량충격원 보다 높았다. 구조물과 수음실의 고유모드 특성으로 인해 외부 충격에 대한 구조체 진동 및 음압의 공진 현상이 발생되기 때문에 공진 성분이 포함되는 바닥충격음 레벨은 순수 충격력 특성인 보행 또는 표준 중량충격원의 옥타브 밴드 충격력 폭로레벨과는 전혀 다른 주파수 특성을 나타내었다.

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Introduction of Vibration Evaluation for APR 1400 Reactor Coolant Pump Shaft (APR 1400급 원자로냉각재펌프의 회전체 진동평가에 관한 고찰)

  • Kim, Ik Joong;Lim, Do Hyun;Kim, Min Chul;Bang, Sang Youn
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2014.10a
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    • pp.110-115
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    • 2014
  • The nuclear power plant was launched by Kori unit 1 in 1978 years. Currently, 23 nuclear power plants have been operating in Korea since 1978 years. The localization was completed for most of the reactor facility from Hanbit(Youngkwang) unit 3&4. However, RCP(Reactor Coolant Pump) and MMIS(Man Machine Interface System) is an important technology that has been excluded from the scope of the technical transfer has been dependent on a specific overseas vendor. Recent success in RCP development through co-operation with government and industries. Developed RCP will be applied to Shin-Hanul unit 1&2 nuclear power plants. The RCP operates in high speed and high pressure condition and only rotating component in the NSSS(Nuclear Steam Supply System). Therefore, the problem of vibration has arisen caused by the hydraulic forces of the working fluid. These forces can influence on the stability characteristics for entire RCS(Reactor Coolant System) loop, and can act as significant destabilizing forces. In this study, vibration evaluation of the pump shaft of development RCP estimated under normal operation and over speed conditions. In order to predict the vibration characteristics and dynamic behavior, modal analysis, critical speed analysis and unbalance response spectrum analysis were performed.

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Laser Stitch Welding Technology for the Fabrication of Automotive Parts (자동차 부품 제조를 위한 레이저 스티치 용접 기술)

  • Joo, Sung-Min;Bang, Hee-Seon;Han, Jun-Ui;Kim, Kyoung-Hak;Ahn, Byoung-Ho
    • Journal of Welding and Joining
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    • v.31 no.4
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    • pp.1-6
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    • 2013
  • Nowadays, the weight lightening of automotive is required as conserving the environment has become a major worldwide issue. To solve this issue, various researches for the use of light materials(Alalloy, Mgalloy)and ultra high strength steel as substitutes of the current structural material have been carried out. Application of laser stitch welding to the assembly of automotive produces improvement in strength, lightening of body, higher fuel efficiency, lower production cost as well as reduction in assemble line due to its fast welding speed, superior accessible and weld quality. This process overcomes the shortcomings of the current resistance spot welding such as high electricity consumption, electrode replacement, and economical, technical limitation in design and production method of automotives.