• Title/Summary/Keyword: Detecting Effect

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Fabrication of electrodes on mcirochannel side wall using shadow evaporation effect (샤도우 증착 효과를 이용한 마이크로 채널내 측벽 전극 제작)

  • 강길환;김규만
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.1462-1465
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    • 2004
  • A new method to fabricate metal electrodes on side wall of the microchannel is presented. Coulter counter allows to count the number of cell passing through the microchannel by detecting impedance variation between two electrodes. The relative position of two electrodes is important for sensitivity of impedance measurement. 100nm thick Al electrodes are deposited on the channel side wall by means of shadow evaporation.

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Graphical Methods for Evaluating the Effect of Outliers in Univariate and Bivariate Data (일변량 및 이변량 자료에 대하여 특이값의 영향을 평가하기 위한 그래픽 방법)

  • Jang, Dae-Heung
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2006.11a
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    • pp.221-226
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    • 2006
  • We usually use two techniques(influence function and local influence) for detecting outliers. But, we cannot use these difficult techniques in elementary industrial statistics course for college students. We can use some simple graphical methods(box plot, dandelion seed plot, influence graph and cumulative deletion plot) for univariate and bivariate outlier detection and outlier effect in elementary industrial statistics course for college students.

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Characteristics of Torque and Vibration-Noise take into account Permanent Magnet Overhang of BLDC Motor for Robots (로봇 구동용 BLDC Motor의 영구자석 오버행에 따른 토크 및 진동.소음 특성)

  • Kang, Gyu-Hong;Kim, Duck-Hyun
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.55 no.7
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    • pp.346-352
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    • 2006
  • In Brushless DC Motor, there are Permanent Magnets (PMs) with driving circuit and sensor for detecting to rotor position and rotation speed. In the case of using hall IC sensor which response to magnetic flux, that is required to additional sensor magnet for rotor position detecting. Most of BLDC motor, However, take asymmetrical overhang of PM in rotor instead of additional sensor magnet for operating of hall IC sensor. The asymmetrical overhang of PM occur rotor thrust to z-axis direction that is lead to not only damage of bearing but also intensive noise and vibration. Therefore, the analysis of magnet overhang effect in the side of vibration and drive to hall If sensor is required to precise. In this paper, 2-D Finite Element Method is used to solve precise field computation and thrust of z-axis direction considering asymmetrical magnet overhang. And also the z-axis thrust from the analysis result is compared to experimental result. In conclusion, the purpose of this paper minimize to noise and vibration of BLDC Motor as analyzes to asymmetrical magnet overhang effect.

Learning Methods for Effective Object Tracking in 3D Storytelling Augmented Reality (3D 스토리텔링 증강현실에서 효과적인 객체 추적을 위한 학습 방법)

  • Choi, Dae han;Han, Woo ri;Lee, Yong-Hwan;Kim, Youngseop
    • Journal of the Semiconductor & Display Technology
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    • v.15 no.3
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    • pp.46-50
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    • 2016
  • Recently, Depending on expectancy effect and ripple effect of augmented reality, the convergence between augmented reality and culture & arts are being actively conducted. This paper proposes a learning method for effective object tracking in 3D storytelling augmented reality in cultural properties. The proposed system is based on marker-less tracking, and there are four modules that are recognition, tracking, detecting and learning module. Recognition module is composed of SURF and LSH, and then this module generates standard object information. Tracking module tracks an object using object tracking based on reliability. This information is stored in Learning module along with learned time information. Detecting module finds out the object based on having the best possible knowledge available among the learned objects information, when the system fails to track. Also, it proposes a method for robustly implementing a 3D storytelling augmented reality in cultural properties in the future.

A sequential outlier detecting method using a clustering algorithm (군집 알고리즘을 이용한 순차적 이상치 탐지법)

  • Seo, Han Son;Yoon, Min
    • The Korean Journal of Applied Statistics
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    • v.29 no.4
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    • pp.699-706
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    • 2016
  • Outlier detection methods without performing a test often do not succeed in detecting multiple outliers because they are structurally vulnerable to a masking effect or a swamping effect. This paper considers testing procedures supplemented to a clustering-based method of identifying the group with a minority of the observations as outliers. One of general steps is performing a variety of t-test on individual outlier-candidates. This paper proposes a sequential procedure for searching for outliers by changing cutoff values on a cluster tree and performing a test on a set of outlier-candidates. The proposed method is illustrated and compared to existing methods by an example and Monte Carlo studies.

A Bayesian Diagnostic for Influential Observations in LDA

  • Lim, Jae-Hak;Lee, Chong-Hyung;Cho, Byung-Yup
    • Journal of Korean Society for Quality Management
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    • v.28 no.1
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    • pp.119-131
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    • 2000
  • This paper suggests a new diagnostic measure for detecting influential observations in linear discriminant analysis (LDA). It is developed from a Bayesian point of view using a default Bayes factor obtained from the imaginary training sample methodology. The Bayes factor is taken as a criterion for testing homogeneity of covariance matrices in LDA model. It is noted that the effect of an observation over the criterion is fully explained by the diagnostic measure. We suggest a graphical method that can be taken as a tool for interpreting the diagnostic measure and detecting influential observations. Performance of the measure is examined through an illustrative example.

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A Study on Automatic Seam Tracking System Using Electro-Magnetic Sensor for Sheet Metal Arc Welding of Butt Joints (박판 맞대기 용접에서 전자기식 센서를 이용한 용접선 자동 추적 시스템에 관한 연구)

  • 유병희;김재웅
    • Journal of Welding and Joining
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    • v.15 no.1
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    • pp.81-91
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    • 1997
  • In this study, a magnetic sensor to make use of eddy current was developed to detect the weld seam of butt joint in the sheet metal arc welding. This system consist of the sensor device for detecting the weld line, the servo control device for driving the weld torch movement and the control unit. A signal processing was applied to smooth the output signal of the sensor. The weld joint was determined by using a 1st order differential method. To improve tracking accuracy of the system, moving average method which has an effect of proportional and weighted integral control was applied to a series of the weld joint positions obtained above. The weld line for tracking was generated by using data regeneration algorithm. Based on these results, each servo motor was controlled by pulse generator. From experimental results, it was revealed that this system has excellent detecting ability for weld line and seam tracking ability.

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A Study on a Signal Processing Method for Detection of the Weld seam by Using Laser Displacement Sensor (레이저 변위센서를 이용한 용접선 검출에서 신호처리에 관한 연구)

  • ;;Kim, J. W.
    • Journal of Welding and Joining
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    • v.13 no.4
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    • pp.65-74
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    • 1995
  • The weld seam tracking sensor is indispensable to improve the flexibility of automatic arc welding systems. Among the position sensing methods available, a laser displacement sensor is one of the most prevailing methods. In this study, a laser displacement sensor was examined on detecting the weld seam of lap joints in sheet metal arc welding. The output signal of the laser displacement sensor may ontain severe fluctuation from the effect of arc light, spatters, fume, etc. So a variety of signal processing methods was applied to smooth the output signal of the sensor. And then the weld joint was determined by using the central difference method. It was revealed that the quadratic mean method plays an important role in detecting the weld seam during welding especially.

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Detection and Location of Partial Discharge in Oil Filled Transformer

  • Lee, Seung-Whan;Oh, Hak-Joon;Chung, Chan-Soo;Yun, Man-Soo
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.98.3-98
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    • 2001
  • The research for detecting of insulating deterioration in transformer has been studied from long ago. Analysis method of combustible gas, which is included in insulating oil, has been widely used in detection of transformer pre-fault detection due to the effectiveness of its method. Recently the fault effect of the large transformer is very critical in a power system, therefore the on-line monitoring and diagnostic system is needed. In addition, the more accurate method of detecting a Partial Discharge (PD) location should be developed. For preventive maintenance against discharge failures, it is important not only to detect the discharges, but also to accurately estimate their positions. However ...

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The Perceptual effect of 'Prosodic vs. Semantic' Focus Representation in Phoneme Detecting (음소 지각에 대한 초점의 운율적 실현과 의미적 실현의 효과(I))

  • Kim Hee-Sung;Jo Min-Ha;Kim Kee-Ho
    • Proceedings of the KSPS conference
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    • 2006.05a
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    • pp.71-74
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    • 2006
  • The purpose of this study is to observe how Korean listeners detect a target phoneme with 'Focus' represented by prosodic prominence and question-induced semantic emphasis. According to the automated phoneme detection task using E-Prime, Korean listeners detected phoneme targets more rapidly when the target-bearing words were in prominence position and in question-induced position. However, when phoneme targets were in prominence position, response time was much faster than in question-induced position. The results suggest that the prosodic prominence which is explicit method of focus representation be more effective than question-inducing, implicit method of it, in phoneme detecting.

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