• Title/Summary/Keyword: Target Region

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A Homeotic Gene, Hoxc8, Regulates the Expression of Proliferating Cell Nuclear Antigen in NIH3T3 Cell

  • Min, Hye-Hyun;Kang, Myeng-Mo;Kim, Myoung-Hee
    • Biomedical Science Letters
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    • v.13 no.3
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    • pp.239-244
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    • 2007
  • Hoxc8 is one of the homeotic developmental control genes regulating the expression of many downstream target genes, through which animal body pattern is established during embryonic development. In previous proteomics analysis, proliferating cell nuclear antigen (PCNA) which is also known as cyclin, has been implied to be regulated by Hoxc8 in F9 murine embryonic teratocarcinoma cell. When the 5' upstream region of PCNA was analyzed, it turned out to contain 20 Hox core binding sites (ATTA) in about 1.17 kbp (kilo base pairs) region ($-520{\sim}-1690$). In order to test whether this region is responsible for Hoxc8 regulation, the upstream 2.3 kbp fragment of PCNA was amplified through PCR and then cloned into the pGL3 basic vector containing a luciferase gene as a reporter. When the luciferase activity was measured in the presence of effector plasmid (pcDNA : c8) expressing murine Hoxc8, the PCNA promoter driven reporter activity was reduced. To confirm whether this reduction is due to the Hoxc8 protein, the siRNA against Hoxc8 (5'-GUA UCA GAC CUU GGA ACU A-3' and 5'-UAG UUC CAA GGU CUG AUA C-3') was prepared. Interestingly enough, siRNA treatment up regulated the luciferase activity which was down regulated by Hoxc8, indicating that Hoxc8 indeed regulates the expression of PCNA, in particular, down regulation in NIN3T3 cells. These results altogether indicate that Hoxc8 might orchestrate the pattern formation by regulating PCNA which is one of the important proteins involved in several processes such as DNA replication and methylation, chromatin remodeling, cell cycle regulation, differentiation, as well as programmed cell death.

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AN EFFICIENT IMAGE SEGMENTATION TECHNIQUE TO IDENTIFY TARGET AREAS FROM LARGE-SIZED MONOCHROME IMAGES

  • Yoon Young-Geun;Lee Seok-Lyong;park Ho-Hyun;Chung Chin-Wan
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.571-574
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    • 2005
  • In this paper, we propose an efficient image segmentation technique for large-sized monochrome images using a hybrid approach which combines threshold and region-based techniques. First, an image is partitioned into fixed-size blocks and for each block the representative intensity is determined by averaging pixel intensities within the block. Next, the neighborhood blocks that have similar characteristics with respect to a specific threshold are merged in order to form candidate regions. Finally, those candidate regions are refined to get final target object regions by merging regions considering the spatial locality and certain criteria. We have performed experiments on images selected from various domains and showed that our technique was able to extract target object regions appropriately from most images.

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Target Window Adjustment Method for feature point tracking in infra-red images (적외선 영상에서 특징점 추적을 이용한 추적창 조절)

  • Kang, Jai-Woong;Sung, Gi-Yeul;Jung, Young-Hun;Kim, Su-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2013.07a
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    • pp.297-298
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    • 2013
  • 본 논문에서는 IR 영상추적을 위하여 가린 표적의 실제 중심을 예측하는 추적창 조절(target window adjustment) 기법을 제시한다. 대표적 분할 추적(patch tracking) 방식인 특징점 추적(feature point tracking)은 표적의 중심과 특징점을 coupling하여 가린 표적의 실제 중심을 예측할 수 있으나, 형상 정보가 적은 영상에서 표적의 ROI(Region of Interest)는 특징점의 분포만으로는 구할 수 없다. 본 논문에서는 상관추적의 추적창 조절 기법과 특징점 추적의 coupling 기법을 결합하여 표적이 장애물에 가리는 경우에도 안정적인 추적창을 유지한다.

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Improved Image Clustering Algorithm based on Weighted Sub-sampling (Weighted subsampling 기반의 향상된 영상 클러스터링 알고리즘)

  • Choi, Byung-In;Nam, Sang-Hoon;Joung, Shi-Chang;Youn, Jung-Su;Yang, Yu-Kyung
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.939-940
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    • 2008
  • In this paper, we propose a novel image clustering method based on weighted sub-sampling to reduce clustering time and the number of clusters for target detection and tracking. Our proposed method first obtain sub-sampling image with specific weights which is the number of target pixels in sampling region. After performing clustering procedure, the cluster center position is properly obtained using weights of target pixels in the cluster. Therefore, our proposed method can not only reduce clustering time, but also obtain proper cluster center.

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Target Pointing Guidance Design Using Time-to-Go Estimator (Time-to-Go 추정기를 이용한 목표점 지향 유도 법칙 설계)

  • Whang, lck-Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.1
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    • pp.60-66
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    • 2002
  • In this paper, a new target pointing guidance algorithm is proposed by combining the optimal target pointing solution and a simple time-to-Go estimator. Also investigated are some properties of the guidance algorithm which include a relation to conventional PNG, convergence region and convergence trajectories of error states according to the time-to-go estimator gain. Some guidelines for designing the pointing guidance law are commented based on the convergence properties. A design example in the case of large initial heading errors is presented and its performance is investigated by simulation.

PCB Defects Detection using Connected Component Classification (연결 성분 분류를 이용한 PCB 결함 검출)

  • Jung, Min-Chul
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.1
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    • pp.113-118
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    • 2011
  • This paper proposes computer visual inspection algorithms for PCB defects which are found in a manufacturing process. The proposed method can detect open circuit and short circuit on bare PCB without using any reference images. It performs adaptive threshold processing for the ROI (Region of Interest) of a target image, median filtering to remove noises, and then analyzes connected components of the binary image. In this paper, the connected components of circuit pattern are defined as 6 types. The proposed method classifies the connected components of the target image into 6 types, and determines an unclassified component as a defect of the circuit. The analysis of the original target image detects open circuits, while the analysis of the complement image finds short circuits. The machine vision inspection system is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiment results show that the proposed algorithms are quite successful.

Object Modeling with Color Arrangement for Region-Based Tracking

  • Kim, Dae-Hwan;Jung, Seung-Won;Suryanto, Suryanto;Lee, Seung-Jun;Kim, Hyo-Kak;Ko, Sung-Jea
    • ETRI Journal
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    • v.34 no.3
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    • pp.399-409
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    • 2012
  • In this paper, we propose a new color histogram model for object tracking. The proposed model incorporates the color arrangement of the target that encodes the relative spatial distribution of the colors inside the object. Using the color arrangement, we can determine which color bin is more reliable for tracking. Based on the proposed color histogram model, we derive a mean shift framework using a modified Bhattacharyya distance. In addition, we present a method of updating an object scale and a target model to cope with changes in the target appearance. Unlike conventional mean shift based methods, our algorithm produces satisfactory results even when the object being tracked shares similar colors with the background.

ITO Films Deposited by Sputter Method of Powder Target at Room Temperature. (상온에서 분말타겟의 스퍼터에 의해 증착된 ITO박막)

  • 김현후;이재형;신성호;신재혁;박광자
    • Journal of the Korean institute of surface engineering
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    • v.33 no.5
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    • pp.349-355
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    • 2000
  • Indium tin oxide (ITO) thin films have been deposited on PET (polyethylene terephthalate) and glass substrates by a do magnetron sputter method of powder target without heat treatments such as substrate heater and post heat treatment. During the sputtering deposition, sputtering parameters such as sputtering power, working pressure, oxygen gas mixture, film thickness and substrate-target distance are important factors for the high quality of ITO thin films. The structural, electrical and optical properties of as-deposited ITO oxide films are investigated by sputtering power, oxygen partial pressure and films thickness among the several sputtering conditions. XRD patterns of ITO films are affected by sputtering power and pressure. As the power and pressure are increased, (411) and (422) peaks of ITO films are grown strongly. Electrical resistivity is also increased, as the sputtering power and pressure are increased. Transmittance of ITO thin films in the visible light ranges is lowered with an increase of sputtering power and film thickness. Reflectance of ITO films in infra-red region is decreased, as the power and pressure is increased.

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High energy laser heating and ignition study

  • Lee, K.C.;Kim, K.H.;Yoh, J.J.
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.03a
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    • pp.525-530
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    • 2008
  • We present a model for simulating high energy laser heating and ignition of confined energetic materials. The model considers effect of ablation of steel plate with long laser pulses and continuous lasers of several kilowatts and the thermal response of well-characterized high explosives for ignition. Since there is enough time for the thermal wave to propagate into the target and to create a region of hot spot in the high explosives, electron thermal diffusion of ultra-short(femto- and pico-second) lasing is ignored; instead, heat diffusion of absorbed laser energy in the solid target is modeled with thermal decomposition kinetic models of high explosives are used. Numerically simulated pulsed-laser heating of solid target and thermal explosion of cyclotrimethylenetrinitramine(RDX), triaminotrinitrobenzene(TATB), and octahydrotetranitrotetrazine(HMX) are compared to experimental results. The experimental and numerical results are in good agreement.

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An Advanced RFID Localization Algorithm Based on Region Division and Error Compensation

  • Li, Junhuai;Zhang, Guomou;Yu, Lei;Wang, Zhixiao;Zhang, Jing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.4
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    • pp.670-691
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    • 2013
  • In RSSI-based RFID(Radio Frequency IDentification) indoor localization system, the signal path loss model of each sub-region is different from others in the whole localization area due to the influence of the multi-path phenomenon and other environmental factors. Therefore, this paper divides the localization area into many sub-regions and constructs separately the signal path loss model of each sub-region. Then an improved LANDMARC method is proposed. Firstly, the deployment principle of RFID readers and tags is presented for constructing localization sub-region. Secondly, the virtual reference tags are introduced to create a virtual signal strength space with RFID readers and real reference tags in every sub-region. Lastly, k nearest neighbor (KNN) algorithm is used to locate the target object and an error compensating algorithm is proposed for correcting localization result. The results in real application show that the new method enhances the positioning accuracy to 18.2% and reduces the time cost to 30% of the original LANDMARC method without additional tags and readers.