• 제목/요약/키워드: 결함 자동 검출

검색결과 503건 처리시간 0.027초

A study on the eye Location for Video-Conferencing Interface (화상 회의 인터페이스를 위한 눈 위치 검출에 관한 연구)

  • Jung, Jo-Nam;Gang, Jang-Mook;Bang, Kee-Chun
    • Journal of Digital Contents Society
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    • 제7권1호
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    • pp.67-74
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    • 2006
  • In current video-conferencing systems. user's face movements are restricted by fixed camera, therefore it is inconvenient to users. To solve this problem, tracking of face movements is needed. Tracking using whole face needs much computing time and whole face is difficult to define as an one feature. Thus, using several feature points in face is more desirable to track face movements efficiently. This paper addresses an effective eye location algorithm which is essential process of automatic human face tracking system for natural video-conferencing. The location of eye is very important information for face tracking, as eye has most clear and simplest attribute in face. The proposed algorithm is applied to candidate face regions from the face region extraction. It is not sensitive to lighting conditions and has no restriction on face size and face with glasses. The proposed algorithm shows very encouraging results from experiments on video-conferencing environments.

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Development of Portable Gas Chromatography / Photoionization Detector System (휴대용 기체 크로마토그래피 / 광이온화 검출기 시스템의 개발)

  • Kim, Man Gu;Sim, Ji Hui;Lee, Dong Su;Lee, Yong Geun
    • Journal of the Korean Chemical Society
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    • 제38권2호
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    • pp.151-159
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    • 1994
  • The portable gas chromatography system was developed which was consisted of ambient vapor sampler(AVS), short capillary column(3 m long, 0.32 mm i.d. GC(SCCGC), photoionization detector (PID) and vacuum pump which was operated at subambient pressure. The seletion of capillary column was based on the theoretical calculation from Golay equation. The pressure ratio of column inlet and outlet appropriated between 1.03 and 1.2 in the system. The available column flow were 0.87∼4.63 ml/min at the pressure ratios. The AVS consisted of three concentric tubes and enables rapid, repetitive introduction of vapor samples directly into capillary column and showed good reproducibility. The subambient column outlet pressure with PID resulted in a significant increase in the optimum column flow, permitting rapid analysis. The baseline separation of m-xylene and o-xylene was able to within 40 second with the system. Parameters affecting the column resolving power were sampling duration, column length and diameter, and the pressure ratio. Effects of these parameters were investigated using bezene derivative compounds.

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A Study on VoiceXML Application of User-Controlled Form Dialog System (사용자 주도 폼 다이얼로그 시스템의 VoiceXML 어플리케이션에 관한 연구)

  • Kwon, Hyeong-Joon;Roh, Yong-Wan;Lee, Hyon-Gu;Hong, Hwang-Seok
    • The KIPS Transactions:PartB
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    • 제14B권3호
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    • pp.183-190
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    • 2007
  • VoiceXML is new markup language which is designed for web resource navigation via voice based on XML. An application using VoiceXML is classified into mutual-controlled and machine-controlled form dialog structure. Such dialog structures can't construct service which provide free navigation of web resource by user because a scenario is decided by application developer. In this paper, we propose VoiceXML application structure using user-controlled form dialog system which decide service scenario according to user's intention. The proposed application automatically detects recognition candidates from requested information by user, and then system uses recognition candidate as voice-anchor. Also, system connects each voice-anchor with new voice-node. An example of proposed system, we implement news service with IT term dictionary, and we confirm detection and registration of voice-anchor and make an estimate of hit rate about measurement of an successive offer from information according to user's intention and response speed. As the experiment result, we confirmed possibility which is more freely navigation of web resource than existing VoiceXML form dialog systems.

A Study on MPLS OAM Functions for Fast LSP Restoration on MPLS Network (MPLS 망에서의 신속한 LSP 복구를 위한 MPLS OAM 기능 연구)

  • 신해준;임은혁;장재준;김영탁
    • The Journal of Korean Institute of Communications and Information Sciences
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    • 제27권7C호
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    • pp.677-684
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    • 2002
  • Today's Internet does not have efficient traffic engineering mechanism to support QoS for the explosive increasing internet traffic such as various multimedia traffic. This functional shortage degrades prominently the quality of service, and makes it difficult to provide multi-media service and real-time service. Various technologies are under developed to solve these problems. IETF (Internet Engineering Task Force) developed the MPLS (Multi-Protocol Label Switching) technology that provides a good capabilities of traffic engineering and is independent layer 2 protocol, so MPLS is expected to be used in the Internet backbone network$\^$[1][2]/. The faults occurring in high-speed network such as MPLS, may cause massive data loss and degrade quality of service. So fast network restoration function is essential requirement. Because MPLS is independent to layer 2 protocol, the fault detection and reporting mechanism for restoration should also be independent to layer 2 protocol. In this paper, we present the experimental results of the MPLS OAM function for the performance monitoring and fault detection 'll'&'ll' notification, localization in MPLS network, based on the OPNET network simulator

Barcode Region of Interest Extraction Method Using a Local Pixel Directions in a Multiple Barcode Region Image (다중 바코드 영역을 가지는 영상에서 지역적 픽셀 방향성을 이용한 바코드 관심 영역 추출 방법)

  • Cho, Hosang;Kang, Bongsoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • 제19권9호
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    • pp.2121-2128
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    • 2015
  • In this paper presents a method of extracting reliable and regions of interest (ROI) in barcode for the purpose of factory automation. backgrounds are separated based on directional components and the characteristics of detected patterns. post-processing is performed on candidate images with analysis of problems caused by blur, rotation and areas of high similarity. In addition, the resizing factor is used to achieve faster calculations through image resizing. The input images contained multiple product or barcode for application to diverse automation environments; a high extraction success rate is accomplished despite the maximum shooting distance of 80 cm. Simulations involving images with various shooting distances gave an ROI detection rate of 100% and a post-processing success rate of 99.3%.

Background Subtraction Algorithm Based on Multiple Interval Pixel Sampling (다중 구간 샘플링에 기반한 배경제거 알고리즘)

  • Lee, Dongeun;Choi, Young Kyu
    • KIPS Transactions on Software and Data Engineering
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    • 제2권1호
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    • pp.27-34
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    • 2013
  • Background subtraction is one of the key techniques for automatic video content analysis, especially in the tasks of visual detection and tracking of moving object. In this paper, we present a new sample-based technique for background extraction that provides background image as well as background model. To handle both high-frequency and low-frequency events at the same time, multiple interval background models are adopted. The main innovation concerns the use of a confidence factor to select the best model from the multiple interval background models. To our knowledge, it is the first time that a confidence factor is used for merging several background models in the field of background extraction. Experimental results revealed that our approach based on multiple interval sampling works well in complicated situations containing various speed moving objects with environmental changes.

Automatic Prostate Segmentation from Ultrasound Images using Morphological Features (형태학적 특징을 이용한 초음파 영상에서의 자동 전립선 분할)

  • Kim, Kwang Baek
    • Journal of the Korea Institute of Information and Communication Engineering
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    • 제26권6호
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    • pp.865-871
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    • 2022
  • In this paper, we propose a method of extracting prostate region using morphological characteristics of ultra-sonic image of prostate. In the first step of the proposed method, the edge area of the prostate image is extracted. The histogram of ultra-sonic image is used to extract base objects to detect the upper edge of prostate region by altering the contrast of the image, then, the lower edges of the extracted base objects are connected by using monotone cubic spline interpolation to extract the upper edge. Step 2, Otsu's binarization is applied to the region under the extracted upper edge of the prostate ultra-sonic image to extract the lower edge of prostate. In the last step, the upper and the lower edges are connected to extract prostate region and by comparing the extracted region of prostate with the one measured manually, the result showed that the morphological characteristics of prostate in ultrasonic image can be utilized to extract the prostate region.

Effects of Field Configuration Shielding Area and Changing of Density and Sensitivity on Tube Current and Image Quality in Automatic Exposure Control System (자동노출제어장치의 채광창 차폐정도와 농도, 감도의 변화가 관전류량과 영상품질에 미치는 영향)

  • Jeong, Min-Gyu;Seoung, Youl-Hun
    • Journal of the Korean Society of Radiology
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    • 제14권5호
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    • pp.635-642
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    • 2020
  • The purpose of this study was to analysis the effects of shielding area of field configuration with changing of sensitivity and density on tube current (milliampere-seconds, mAs) and image quality in automatic exposure control (AEC) system. The equipment used a digital radiography device (Digital Diagnost, Philips, Netherlands), which has a integral type with an X-ray tube and an indirect digital detector. The AEC system conditions were consisted of 9 setting environments, that mode changing of the sensitivity (S200, S400, S800) and the density (+2.5, 0, -2.5). The tube current evaluated automatically exposed mAs under 81 combination conditions crossed by AEC conditions in fixed at 40 kVp. The image quality evaluated the radiographic images that selected valid images by visual assessment the radiographic images of the self-produced conical pyramid phantom and then measured their signal to noise ratio (SNR). As a result, the maximum tube current was 60.0 mAs that automatically exposed conditions were the 100% of shielding area and the sensitivity of S200 and the density of +2.5. The minimum tube current was 0.9 mAs with non-shielding area and the sensitivity of S800 and the density of -2.5. When the shielded area 0% with the sensitivity of S200 and the density of +2.5, the maximum SNR was the highest as 25.2. But when the shielded area 25% with the sensitivity of S800 and the density of -2.5, the minimum SNR was the lowest as 4.7.

Automatic Detection of Off-topic Documents using ConceptNet and Essay Prompt in Automated English Essay Scoring (영어 작문 자동채점에서 ConceptNet과 작문 프롬프트를 이용한 주제-이탈 문서의 자동 검출)

  • Lee, Kong Joo;Lee, Gyoung Ho
    • Journal of KIISE
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    • 제42권12호
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    • pp.1522-1534
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    • 2015
  • This work presents a new method that can predict, without the use of training data, whether an input essay is written on a given topic. ConceptNet is a common-sense knowledge base that is generated automatically from sentences that are extracted from a variety of document types. An essay prompt is the topic that an essay should be written about. The method that is proposed in this paper uses ConceptNet and an essay prompt to decide whether or not an input essay is off-topic. We introduce a way to find the shortest path between two nodes on ConceptNet, as well as a way to calculate the semantic similarity between two nodes. Not only an essay prompt but also a student's essay can be represented by concept nodes in ConceptNet. The semantic similarity between the concepts that represent an essay prompt and the other concepts that represent a student's essay can be used for a calculation to rank "on-topicness" ; if a low ranking is derived, an essay is regarded as off-topic. We used eight different essay prompts and a student-essay collection for the performance evaluation, whereby our proposed method shows a performance that is better than those of the previous studies. As ConceptNet enables the conduction of a simple text inference, our new method looks very promising with respect to the design of an essay prompt for which a simple inference is required.

Bone Segmentation Method based on Multi-Resolution using Iterative Segmentation and Registration in 3D Magnetic Resonance Image (3차원 무릎 자기공명영상 내에서 영역화와 정합 기법을 반복적으로 이용한 다중 해상도 기반의 뼈 영역화 기법)

  • Park, Sang-Hyun;Lee, Soo-Chan;Yun, Il-Dong;Lee, Sang-Uk
    • Journal of Broadcast Engineering
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    • 제17권1호
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    • pp.73-80
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    • 2012
  • Recently, medical equipments are developed and used for diagnosis or studies. In addition, demand of techniques which automatically deal with three dimensional medical images obtained from the medical equipments is growing. One of the techniques is automatic bone segmentation which is expected to enhance the diagnosis efficiency of osteoporosis, fracture, and other bone diseases. Although various researches have been proposed to solve it, they are unable to be used in practice since a size of the medical data is large and there are many low contrast boundaries with other tissues. In this paper, we present a fast and accurate automatic framework for bone segmentation based on multi-resolutions. On a low resolution step, a position of the bone is roughly detected using constrained branch and mincut which find the optimal template from the training set. Then, the segmentation and the registration are iteratively conducted on the multiple resolutions. To evaluate the performance of the proposed method, we make an experiment with femur and tibia from 50 test knee magnetic resonance images using 100 training set. The proposed method outperformed the constrained branch and mincut in aspect of segmentation accuracy and implementation time.