• Title/Summary/Keyword: Feature Acquisition

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Invariant Range Image Multi-Pose Face Recognition Using Fuzzy c-Means

  • Phokharatkul, Pisit;Pansang, Seri
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1244-1248
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    • 2005
  • In this paper, we propose fuzzy c-means (FCM) to solve recognition errors in invariant range image, multi-pose face recognition. Scale, center and pose error problems were solved using geometric transformation. Range image face data was digitized into range image data by using the laser range finder that does not depend on the ambient light source. Then, the digitized range image face data is used as a model to generate multi-pose data. Each pose data size was reduced by linear reduction into the database. The reduced range image face data was transformed to the gradient face model for facial feature image extraction and also for matching using the fuzzy membership adjusted by fuzzy c-means. The proposed method was tested using facial range images from 40 people with normal facial expressions. The output of the detection and recognition system has to be accurate to about 93 percent. Simultaneously, the system must be robust enough to overcome typical image-acquisition problems such as noise, vertical rotated face and range resolution.

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A Study on Development of Tire Identification System (ICCAS 2005)

  • Lee, Ki-Seong;Jeong, Tae-Woon
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1917-1921
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    • 2005
  • The Bar code, RFID in the standard recognition method for the goods automation of tire manufacture process, sometimes problem occurs with the damage due to a high tension, high fever. So it has problem that needs many instruments to attach it. In this paper, in the letter of tire's surface the Mold ID which has a specific feature it proposed the algorithm for the location detection of acquisition and Mold ID of the image which uses 3 dimension cameras.. It described the method which recognizes the each letter of Mold ID from the location which is detected.

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Tumour Suppressor Mechanisms in the Control of Chromosome Stability: Insights from BRCA2

  • Venkitaraman, Ashok R.
    • Molecules and Cells
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    • v.37 no.2
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    • pp.95-99
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    • 2014
  • Cancer is unique amongst human diseases in that its cellular manifestations arise and evolve through the acquisition of somatic alterations in the genome. In particular, instability in the number and structure of chromosomes is a near-universal feature of the genomic alterations associated with epithelial cancers, and is triggered by the inactivation of tumour suppressor mechanisms that preserve chromosome integrity in normal cells. The nature of these mechanisms, and how their inactivation promotes carcinogenesis, remains enigmatic. I will review recent work from our laboratory on the tumour suppressor BRCA2 that addresses these issues, focusing on new insights into cancer pathogenesis and therapy that are emerging from improved understanding of the molecular basis of chromosomal instability in BRCA2-deficient cancer cells.

Development of Laser Induced Real Time Photoacoustic Tomography Imaging System and Phantom Evaluation (레이저 유도방식의 실시간 광음향 단층영상 기술 개발과 팬텀이미지 평가)

  • Ryu, Sang-Hun;Shin, Dong-Ho;Song, Chul-Gyu
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.6
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    • pp.879-884
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    • 2012
  • Photoacoustic Tomography (PAT) is a promising medical imaging modality by reason of its particularity. It combines optical imaging contrast of optical imaging with the spatial resolution of ultrasound imaging and can demonstrate change of biological feature in an image. For that reason, many studies are in progress to apply this technic for diagnosis. But, real-time PAT system is necessary to confirm a biological reaction induced by external stimulation immediately. Thus, we developed a real-time PAT system using linear array transducer and self-developed Data acquisition board (DAQ) resources, To evaluate the feasibility and performance of our proposed system, two type of phantom test were also performed. As a result of those experiments, the proposed system shows enough performance and confirm its usefulness.

Implementation of the Automatic White Blood Cell Differential Counting System (백혈구 자동 판별기의 실현)

  • Lee, Seung-U;Kim, Baek-Seop;Park, Song-Bae
    • Journal of Biomedical Engineering Research
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    • v.5 no.1
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    • pp.69-76
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    • 1984
  • An automatic white blood cell differential counting system was developed, which consists of feature extractor, main control computer, auto focus and search part and data acquisition part. This system is used as a clinical instrument whose purpose is to classify white blood cell images. It may also be used for other binary image processing.

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Optimal Investment of Capacity & Production Planning of Flexible Manufacturing System Considering Economies of Scope (범위의 경제를 고려한 유연생산시스템의 최적 용량 투자 및 생산 계획)

  • Lee Deok-Ju
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.10a
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    • pp.229-244
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    • 2004
  • This study addresses the problem of flexible technology acquisition in multi-product market when demands are uncertain. We confine the concept of flexibility to the ability of manufacturing system to produce a number of different types of products, called product-mix flexibility type. And an analytical model in which economies of scope is incorporated explicitly as a feature of flexible technology is presented to find the optimal investment decision to acquire flexible technology and optimal production planning. The characteristics of optimal investment strategy related to capacity and production planning are discussed.

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A Threshold Adaptation based Voice Query Transcription Scheme for Music Retrieval (음악검색을 위한 가변임계치 기반의 음성 질의 변환 기법)

  • Han, Byeong-Jun;Rho, Seung-Min;Hwang, Een-Jun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.2
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    • pp.445-451
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    • 2010
  • This paper presents a threshold adaptation based voice query transcription scheme for music information retrieval. The proposed scheme analyzes monophonic voice signal and generates its transcription for diverse music retrieval applications. For accurate transcription, we propose several advanced features including (i) Energetic Feature eXtractor (EFX) for onset, peak, and transient area detection; (ii) Modified Windowed Average Energy (MWAE) for defining multiple small but coherent windows with local threshold values as offset detector; and finally (iii) Circular Average Magnitude Difference Function (CAMDF) for accurate acquisition of fundamental frequency (F0) of each frame. In order to evaluate the performance of our proposed scheme, we implemented a prototype music transcription system called AMT2 (Automatic Music Transcriber version 2) and carried out various experiments. In the experiment, we used QBSH corpus [1], adapted in MIREX 2006 contest data set. Experimental result shows that our proposed scheme can improve the transcription performance.

Optimal Investment of Capacity and Production Planning of Flexible Manufacturing Technology Considering Economies of Scope (범위의 경제를 고려한 유연생산기술의 최적 용량투자 및 생산계획)

  • Lee, Deok-Joo
    • Journal of Korean Institute of Industrial Engineers
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    • v.31 no.2
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    • pp.135-142
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    • 2005
  • This study addresses the problem of flexible technology acquisition in a multi-product market when demands are uncertain. We confine the concept of flexibility to the ability of manufacturing system to produce a number of different types of products, called a product-mix flexibility type. And an analytical model in which the economies of scope are incorporated explicitly as a feature of flexible technology is presented to find the optimal investment decision to acquire flexible technology and optimal production planning. The characteristics of optimal investment strategy related to capacity and production planning are discussed.

Fault Diagnosis of Induction Motor by Hierarchical Classifier (계층구조의 분류기에 의한 유도전동기 고장진단)

  • Lee, Dae-Jong;Song, Chang-Kyu;Lee, Jae-Kyung;Chun, Myung-Guen
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.6
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    • pp.513-518
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    • 2007
  • In this paper, we propose a fault diagnosis scheme tor induction motor by adopting a hierarchical classifier consisting of k-Nearest Neighbors(k-NN) and Support Vector Machine(SVM). First, some motor conditions are classified by a simple k-NN classifier in advance. And then, more complicated classes are distinguished by SVM. To obtain the normal and fault data, we established an experimental unit with induction motor system and data acquisition module. Feature extraction is performed by Principal Component Analysis(PCA). To show its effectiveness, the proposed fault diagnostic system has been intensively tested with various data acquired under the different electrical and mechanical faults with varying load.

The Development of Power System Automation based on the CAN Communication Protocol (CAN 통신을 기반으로한 전력 시스템 자동화 구축)

  • Park, Jong-Chan;Kim, Beung-Jin
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.52 no.3
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    • pp.95-99
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    • 2003
  • In this paper, the power system automation based on CAN communication protocol is introduced. Along with digitalization of electrical device, the various on-line services such as remote control, remote monitoring, remote parameter setting, fault data recording and remote diagnostic have been realized and become available. Therefore, it is necessary for those electrical devices to have real-time and reliable communication protocols. Author proposes DNPC(Distributed Network Protocol with CAN) which is proper to the power system SCADA (Supervisory Control And Data Acquisition) and DCS (Distributed Control System). The physical and datalink layer of DNPC protocol consists of the CAN2.0B which has the real-time characteristics and powerful error control scheme. As the transport and application layer, DNP3.0 is adopted because of its flexibility and compatible feature. Using the DNPC protocol, the power system automation is realized.