• 제목/요약/키워드: Background control

검색결과 4,244건 처리시간 0.037초

품질 관리 분임조 활동의 활성화와 성공 조건 (The Activation and Successful Conditions of Quality Control Circle Activity)

  • Jae-Joong Kim;Won-Joong Kim
    • 산업경영시스템학회지
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    • 제17권30호
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    • pp.67-71
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    • 1994
  • Quality Control Circle activity is widely introcuced by manufacturing industries. Q.C.C. is studied not only in relation with five points of view such as corporate culture, labor union, organizational management model in Korea, the Theory W and educational revolution etc. but also in social, cultural background, and national trait's view points. The main goal of this study is to investigate sucessful role and active application in Quality Control Circle activity.

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호주식 안정화 운동이 만성 요통환자의 기능부전과 통증감소에 미치는 효과 (The Effects of Australian Stabilization Exercises for Decreasing Dysfunction and Pain in Chronic Back Pain Patients)

  • 구희서
    • 대한물리치료과학회지
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    • 제16권4호
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    • pp.39-47
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    • 2009
  • Background: To evaluate the effects of Australian stabilization exercise for chronic low back pain. Methods: Interventions consisted of exercises aimed at recovery of Multifidus in cocontraction with Transverse abdominis through neural control retraining. Results: After exercise, there were significant improvement(p<.05) in pain and disability score. Conclusions: Neural control stabilization exercise can be effective intervention for chronic Low Back Pain patients.

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Buffering Contribution of Mitochondria to the $[Ca^{2+}]_i$ Increase by $Ca^{2+}$ Influx through Background Nonselective Cation Channels in Rabbit Aortic Endothelial Cells

  • Kim, Young-Chul;Lee, Sang-Jin;Kim, Ki-Whan
    • The Korean Journal of Physiology and Pharmacology
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    • 제9권1호
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    • pp.29-35
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    • 2005
  • To prove the buffering contribution of mitochondria to the increase of intracellular $Ca^{2+}$ level ($[Ca^{2+}]_i$) via background nonselective cation channel (background NSCC), we examined whether inhibition of mitochondria by protonophore carbonylcyanide m-chlorophenylhydrazone (CCCP) affects endothelial $Ca^{2+}$ entry and $Ca^{2+}$ buffering in freshly isolated rabbit aortic endothelial cells (RAECs). The ratio of fluorescence by fura-2 AM ($R_{340/380}$) was measured in RAECs. Biological state was checked by application of acetylcholine (ACh) and ACh ($10{\mu}M$) increased $R_{340/380}$ by $1.1{\pm}0.15$ ($mean{\pm}S.E.$, n=6). When the external $Na^+$ was totally replaced by $NMDG^+$, $R_{340/380}$ was increased by $1.19{\pm}0.17$ in a reversible manner (n=27). $NMDG^+$-induced $[Ca^{2+}]_i$ increase was followed by oscillatory decay after $[Ca^{2+}]_i$ reached the peak level. The increase of $[Ca^{2+}]_i$ by $NMDG^+$ was completely suppressed by replacement with $Cs^+$. When $1{\mu}M$ CCCP was applied to bath solution, the ratio of $[Ca^{2+}]_i$ was increased by $0.4{\pm}0.06$ (n=31). When $1{\mu}M$ CCCP was used for pretreatment before application of $NMDG^+$, oscillatory decay of $[Ca^{2+}]_i$ by $NMDG^+$ was significantly inhibited compared to the control (p<0.05). In addition, $NMDG^+-induced$ increase of $[Ca^{2+}]_i$ was highly enhanced by pretreatment with $2{\mu}M$ CCCP by $320{\pm}93.7$%, compared to the control ($mean{\pm}S.E.$, n=12). From these results, it is concluded that mitochondria might have buffering contribution to the $[Ca^{2+}]_i$ increase through regulation of the background NSCC in RAECs.

Multi-Face Detection on static image using Principle Component Analysis

  • Choi, Hyun-Chul;Oh, Se-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.185-189
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    • 2004
  • For face recognition system, a face detector which can find exact face region from complex image is needed. Many face detection algorithms have been developed under the assumption that background of the source image is quite simple . this means that face region occupy more than a quarter of the area of the source image or the background is one-colored. Color-based face detection is fast but can't be applicable to the images of which the background color is similar to face color. And the algorithm using neural network needs so many non-face data for training and doesn't guarantee general performance. In this paper, A multi-scale, multi-face detection algorithm using PCA is suggested. This algorithm can find most multi-scaled faces contained in static images with small number of training data in reasonable time.

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강도다리(Platichthys stellatus) 흑화 발현에 미치는 수조색깔 및 자갈기질의 영향 (Influence of Background Color and Substratum on the Blind-side Hypermelanosis in Starry Flounder Plathchthys stellatus)

  • 김원진
    • 수산해양교육연구
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    • 제28권3호
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    • pp.841-847
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    • 2016
  • To study the influence of background color and substratum on hypermelanosis of starry flounder, we compared the daily food intake (DFI), the feed efficiency (FE), the survival, the growth, the ratio of pigmented area on the blind side and the ratio of hypermelanic fish duplicately reared for 180 days in dark-green FRP aquarium (control), white FRP aquarium together with dark-green substratum. The ratio of pigmented area on the blind side was significantly higher at the dark-green group than at the white group. DFI, FE and growth were higher in the dark-green substratum. Pigmented area rate and ratio of hypermelanic fish were significantly higher at the dark green group than at the high dark-green substratum. The results suggest that bright tank color and substratum bottom could inhibit the hypermelanosis.

Convergence Control of Moving Object using Opto-Digital Algorithm in the 3D Robot Vision System

  • Ko, Jung-Hwan;Kim, Eun-Soo
    • Journal of Information Display
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    • 제3권2호
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    • pp.19-25
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    • 2002
  • In this paper, a new target extraction algorithm is proposed, in which the coordinates of target are obtained adaptively by using the difference image information and the optical BPEJTC(binary phase extraction joint transform correlator) with which the target object can be segmented from the input image and background noises are removed in the stereo vision system. First, the proposed algorithm extracts the target object by removing the background noises through the difference image information of the sequential left images and then controlls the pan/tilt and convergence angle of the stereo camera by using the coordinates of the target position obtained from the optical BPEJTC between the extracted target image and the input image. From some experimental results, it is found that the proposed algorithm can extract the target object from the input image with background noises and then, effectively track the target object in real time. Finally, a possibility of implementation of the adaptive stereo object tracking system by using the proposed algorithm is also suggested.

고전압용 LDI 칩의 정전기 보호를 위한 EDNMOS 소자의 백그라운드 도핑 특성 (Control of Background Doping Concentration (BDC) for Electrostatic Discharge (ESD) Protection of High Voltage Operating LDI Chip)

  • 서용진;김길호;이우선
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2006년도 하계학술대회 논문집 Vol.7
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    • pp.140-141
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    • 2006
  • Background doping concentration (BDC) is proven to be a critical factor to affect the high current behavior of the extended drain NMOSFET (EDNMOS) devices. The EDNMOS device with low BDC suffers from strong snapback in the high current region, which results in poor electrostatic discharge (ESD) protection performance and high latchup risk. However, the strong snapback can be avoided in the EDNMOS device with high BDC. This implies that both the good ESD protection performance and the latchup immunity can be realized in terms of the EDNMOS by properly controlling its BDC.

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Basic Examination on 3D Measuring System Using Pulse-Compression

  • Fujimoto Ikumatsu;Ando Shigeru
    • International Journal of Precision Engineering and Manufacturing
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    • 제6권4호
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    • pp.60-66
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    • 2005
  • In this paper, we propose the basic measurement method of a 3D digitizer using a CCD camera in detail. In the localization measurement with a CCD camera, the effect of the background light and the sensitivity consideration are always problems in realizing a high precision. In this research, a new measurement principle is proposed in which the pulse compression technique known in radar is used to eliminate the effect of background light even under a low intensity light source, and the coordinate values on the CCD camera image plane are determined accurately. From the quantitative evaluation of the S/N ratio improvement and the fundamental experiment, it is verified that a substantial improvement in the S/N ratio is realized for both the background noise and the pixel noise and that a resolution of less than the pixel is sufficiently possible.

Infrared and Visible Image Fusion Based on NSCT and Deep Learning

  • Feng, Xin
    • Journal of Information Processing Systems
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    • 제14권6호
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    • pp.1405-1419
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    • 2018
  • An image fusion method is proposed on the basis of depth model segmentation to overcome the shortcomings of noise interference and artifacts caused by infrared and visible image fusion. Firstly, the deep Boltzmann machine is used to perform the priori learning of infrared and visible target and background contour, and the depth segmentation model of the contour is constructed. The Split Bregman iterative algorithm is employed to gain the optimal energy segmentation of infrared and visible image contours. Then, the nonsubsampled contourlet transform (NSCT) transform is taken to decompose the source image, and the corresponding rules are used to integrate the coefficients in the light of the segmented background contour. Finally, the NSCT inverse transform is used to reconstruct the fused image. The simulation results of MATLAB indicates that the proposed algorithm can obtain the fusion result of both target and background contours effectively, with a high contrast and noise suppression in subjective evaluation as well as great merits in objective quantitative indicators.

배경음 및 잡음에 강인한 위험 소리 탐지에 관한 연구 (A Study on Hazardous Sound Detection Robust to Background Sound and Noise)

  • 하태민;강상훈;조성원
    • 한국멀티미디어학회논문지
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    • 제24권12호
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    • pp.1606-1613
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    • 2021
  • Recently various attempts to control hardware through integration of sensors and artificial intelligence have been made. This paper proposes a smart hazardous sound detection at home. Previous sound recognition methods have problems due to the processing of background sounds and the low recognition accuracy of high-frequency sounds. To get around these problems, a new MFCC(Mel-Frequency Cepstral Coefficient) algorithm using Wiener filter, modified filterbank is proposed. Experiments for comparing the performance of the proposed method and the original MFCC were conducted. For the classification of feature vectors extracted using the proposed MFCC, DNN(Deep Neural Network) was used. Experimental results showed the superiority of the modified MFCC in comparison to the conventional MFCC in terms of 1% higher training accuracy and 6.6% higher recognition rate.