• Title/Summary/Keyword: Auto detection method

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RHT-Based Ellipse Detection for Estimating the Position of Parts on an Automobile Cowl Cross Bar Assembly (RHT 기법을 이용한 카울크로스바의 조립위치 결정에 관한 연구)

  • Shin, Ik-Sang;Kang, Dong-Hyeon;Hong, Young-Gi;Min, Young-Bong
    • Journal of Biosystems Engineering
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    • v.36 no.5
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    • pp.377-383
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    • 2011
  • This study proposed the new method of discerning the assembled parts and presuming the position of central point in a Cowl Cross Bar (CCB) using a Charge-Couple Device (CCD) camera attached to a robot in the auto assembly line. Three control points of an ellipse were decided by three reference points, which were equally distanced. The radii of these reference points were determined by the size of the object, and the repeated presumption secured the precise determination. The comparison of the central point of ellipse presumed by Randomized Hough Transform (RHT) with the part information stored in a database was used for determining the faulty part in an assembly. The method proposed in this study was applied for the real-time inspection of elliptical parts, such as bolt, nut hole and so on, connected to a CCB using a CCD camera. The findings of this study showed that the precise decision on whether the parts are inferior or not can be made irrespective of the lighting condition of industrial site and the noises of the surface of the part. In addition, the defect decision on the individual elliptic parts assembled in a CCB showed more than 98% accuracy within a 500-millisecond period at most.

Auto Frame Extraction Method for Video Cartooning System (동영상 카투닝 시스템을 위한 자동 프레임 추출 기법)

  • Kim, Dae-Jin;Koo, Ddeo-Ol-Ra
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.28-39
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    • 2011
  • While the broadband multimedia technologies have been developing, the commercial market of digital contents has also been widely spreading. Most of all, digital cartoon market like internet cartoon has been rapidly large so video cartooning continuously has been researched because of lack and variety of cartoon. Until now, video cartooning system has been focused in non-photorealistic rendering and word balloon. But the meaningful frame extraction must take priority for cartooning system when applying in service. In this paper, we propose new automatic frame extraction method for video cartooning system. At frist, we separate video and audio from movie and extract features parameter like MFCC and ZCR from audio data. Audio signal is classified to speech, music and speech+music comparing with already trained audio data using GMM distributor. So we can set speech area. In the video case, we extract frame using general scene change detection method like histogram method and extract meaningful frames in the cartoon using face detection among the already extracted frames. After that, first of all existent face within speech area image transition frame extract automatically. Suitable frame about movie cartooning automatically extract that extraction image transition frame at continuable period of time domain.

Development of Quality Control Method for a Novel Herbal Medicine, HPL-1 using UHPLC (UHPLC를 이용한 새로운 한약제제 HPL-1의 품질관리법 개발)

  • Kim, Se-Gun;Lamichhane, Ramakanta;Lee, Kyung-Hee;Jung, Hyun-Ju
    • The Korea Journal of Herbology
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    • v.30 no.3
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    • pp.19-24
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    • 2015
  • Objectives : HPL-1, a novel herbal medicine which is composed of five herbs such as Kalopanacis Cortex, Chaenomelis Fructus, Raphani Semen, Atractylodis Rhizoma and Pulvis Aconiti Tuberis Purificatum, was developed for treatment of osteoarthritis. This study is aimed to develop analytical method for consistent quality control of HPL-1 and validate chromatographic method. Methods : Chromatographic analysis was performed using ultra-high performance liquid chromatography - diode array detector (UHPLC-DAD) equipped with RP-amide column, column oven, and auto sampler. Marker compounds [protocatechuic acid, chlorogenic acid, liriodendrin, 3,5-dicaffeoylquinic acid, ${\beta}$-D-(3-O-sinapoyl)-fructofuranosyl-$\alpha$-D-(6-O-sinapoyl)glucopyranoside and benzoylmesaconine] were separated by step gradient elution of acetonitrile and 0.1% phosphoric acid/water. The method validation was evaluated by quantitative validation parameters of linearity, accuracy, precision, limit of detection (LOD) and limit of quantification (LOQ) according to KFDA guideline.Results : An optimized method for six marker compounds in HPL-1 was established by UHPLC-DAD. The correlation coefficient (R2) with each calibration curve was greater than 0.99. The LOD and LOQ were within the range of 0.008-0.090 and $0.023-0.274{\mu}g/mL$, respectively. The relative standard deviation (RSD) of intra- and inter-day variability were less than 4.0%. The result of recovery test was range from 93.3-106.3% with RSD < 4.0%.Conclusions : These results suggest that the quantitative UHPLC method is precise, accurate, effective for quality evaluation of HPL-1. The method may also contribute to improve quality of crude drug preparations used for treatment of various diseases.

Algorithm of Generating Adaptive Background Modeling for crackdown on Illegal Parking (불법 주정차 무인 자동 단속을 위한 환경 변화에 강건한 적응적 배경영상 모델링 알고리즘)

  • Joo, Sung-Il;Jun, Young-Min;Choi, Hyung-Il
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.6
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    • pp.117-125
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    • 2008
  • The Object tracking by real-time image analysis is one of the major concerns in computer vision and its application fields. The Object detection process of real-time images must be preceded before the object tracking process. To achieve the stable object detection performance in the exterior environment, adaptive background model generation methods are needed. The adaptive background model can accept the nature's phenomena changes and adapt the system to the changes such as light or shadow movements that are caused by changes of meridian altitudes of the sun. In this paper, we propose a robust background model generation method effective in an illegal parking auto-detection application area. We also provide a evaluation method that judges whether a moving vehicle stops or not. As the first step, an initial background model is generated. Then the differences between the initial model and the input image frame is used to trace the movement of object. The moving vehicle can be easily recognized from the object tracking process. After that, the model is updated by the background information except the moving object. These steps are repeated. The experiment results show that our background model is effective and adaptable in the variable exterior environment. The results also show our model can detect objects moving slowly. This paper includes the performance evaluation results of the proposed method on the real roads.

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Study on Hidden Period Estimation in Propeller Noise by Applying Compressed Sensing to Auto-Correlation and Filter-Bank Structure (압축 센싱 기법을 자기상관 필터뱅크 방식에 적용한 광대역 프로펠러 소음 추정 기법 연구)

  • Lim, Jun-Seok;Pyeon, Yong-Guk;Hong, Woo-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.12
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    • pp.2476-2484
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    • 2015
  • Narrow band signal estimation and broad band signal estimation can be used to detect the ship-radiated noise. The broad band signal estimation method to detect the ship-radiated noise is called DEMON (Detection of Envelop Modulation On Noise). This paper proposes a new DEMON algorithm applying compressed sensing algorithm to filter bank and autocorrelation. We show the proposed algorithm estimates the hidden period in the wide band signal better than the conventional DEMON algorithm and the recently proposed filter-bank based DEMON algorithm. Especially we show that the proposed algorithm needs shorter data length than the conventional DEMON algorithm.

Adaptive AutoReclosure Technique for Fault Location Estimation and Fault Recognition about Arcing Ground Fault (아크 지락 사고에 대한 사고거리추정 및 사고판별에 관한 자동 적응자동재폐로 기법)

  • Kim, Hyun-Houng;Lee, Chan-Joo;Chae, Myung-Sen;Park, Jong-Bae;Shin, Joong-Rin
    • Proceedings of the KIEE Conference
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    • 2005.11b
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    • pp.283-285
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    • 2005
  • This paper presents a new two-terminal numerical algorithm for fault location estimation and for faults recognition using the synchronized phasor in time-domain. The proposed algorithm is also based on the synchronized voltage and current phasor measured from the PMUs(Phasor Measurement Units) installed at both ends of the transmission lines. Also the arc voltage wave shape is modeled numerically on the basis of a great number of arc voltage records obtained by transient recorder. From the calculated arc voltage amplitude it can make a decision whether the fault is permanent or transient. In this paper the algorithm is given and estimated using DFT(Discrete Fourier Transform) and the LES(Least Error Squares Method). The algorithm uses a very short data window and enables fast fault detection and classification for real-time transmission line protection. To test the validity of the proposed algorithm, the Electro-Magnetic Transient Program(EMTP/ATP) and MATLAB is used.

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HBD: A new tool to enhance human skin self-defence against micro-organisms

  • Ingrid Pernet;Corinne Reymermier;Anne Guezennec;Jacqueline Viac;Branca, Jean-Eric;Joelle Guesnet;Eric Perrier
    • Proceedings of the SCSK Conference
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    • 2003.09a
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    • pp.85-96
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    • 2003
  • Normal human skin, constantly challenged by environmental micro-organisms, has an innate ability to fight invading microbes through antimicrobial peptides. These peptides, described in both plant and animal kingdoms are able to inactivate a broad spectrum of micro-organisms. Mammalian defensins constitute one of the most common antimicrobial peptide family. Among the three human beta-defensins hBD1, hBD2 and hBD3 produced in epithelia, only hBD2 and hBD3 are inducible and additionally have been described as expressed by differentiated keratinocytes at site of inflammation and infection. The aims of these studies were to define a cell culture model in which the basal production of hBD could be detected and up-regulated in order to enhance skin auto-protection against micro-organisms. A specific Polymerase Chain Reaction method have been developed for hBD2 and hBD3 mRNA detection in non-differentiated monolayer keratinocytes cell culture. We have been able to demonstrate that in vitro, hBD2 and hBD3 expression in normal human keratinocytes could be detected and enhanced by TNF-alpha and IFN-gamma, in hypercalcic culture conditions. This research opened the possibility of the development of cosmetic active compounds, able to induce the expression of skin natural antibiotic peptides responsible about microflora ecology of the skin.

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Interactive 3D Integral Imaging System using Single Camera (하나의 카메라를 이용한 인터렉티스 3D 집적 영상 시스템)

  • Shin, Dong-Hak;Kim, Eun-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.10C
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    • pp.829-835
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    • 2008
  • Recently, 3D integral imaging system, which is well known as an auto-stereoscopic 3D display method, has been gaining great attention amongst researchers. The integral imaging is a promising 3D display technology since it is able to deliver continuous viewing points, full parallax, and full color view to the observers in space. In this paper, we propose a novel interactive 3D integral imaging system using a single camera. The user interface is implemented by adding a camera in the conventional integral imaging system. To show the possibility of the proposed system, we implement the optical setup and present the preliminary results. To our best knowledge, this is the first time to study an interactive 3D integral imaging.

Hidden Period Estimation in the Broad Band Propeller Noise Using Auto-Correlation and Filter-Bank Structure (자기상관과 필터뱅크 방식을 적용한 광대역 프로펠러 소음 추정 기법 연구)

  • Lim, Jun-Seok;Hong, Woo-Young;Pyeon, Yong-Guk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.8
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    • pp.538-543
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    • 2014
  • Narrow band signal estimation and broad band signal estimation can be used to detect the ship-radiated noise. The broad band signal estimation method to detect the ship-radiated noise is called DEMON (Detection of Envelop Modulation On Noise). This paper proposes a new DEMON algorithm using filter bank and autocorrelation. We show the proposed algorithm estimates the hidden period in the wide band signal better than the conventional DEMON algorithm and the recently proposed filter-bank based DEMON algorithm.

Differential Display Detection of Acid-inducible Genes from Porphyra yezoensis Thalli (해조류 방사무늬김 (Porphra yezoensis) 엽체로부터 산 유도 유전자의 분리)

  • JIN Long-Guo;KANG Se-Eun;CHOI Jae-Suk;PARK Sun-Mee;PARK Jung-Youn;JIN Duck-Hee;HONG Yong-Ki
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.37 no.4
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    • pp.269-274
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    • 2004
  • Genetic responses of the edible seaweed Porphyra yezoensis tissue to acid shock have been compared using differential display technique. The tissue was challenged in seawater containing $0.05{\%}$ hydrogen chloride (pH 3.0) for 5 min, then rehabilitated in normal seawater for 10 min, 30 min, 60 min and 4 hrs. Total RNA extracted by the LiCl-guanidium method was reverse transcribed and amplified by PCR with arbitrary primers. The amplified fragment responded by the acid shock was selectively isolated from agarose gel and sequenced with DNA auto sequencer. Sequence (1056 bp) of the cDNA contained at least two genes for ASP7K (MW 7418) and ASP5K (MW 5512) proteins.