• Title/Summary/Keyword: SRG3

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Design of a Switched Reluctance Generator for Small Wind Power Systems (소형 풍력 발전용 스위치드 릴럭턴스 발전기의 설계)

  • Shin, Hye-Ung;Lee, Kyo-Beum
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.3
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    • pp.405-410
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    • 2015
  • This paper deals with the design method of 1kW-Switched Reluctance Generator (SRG) for wind power applications. The coefficient of the output equation is determined according to the purpose specification for design of SRG. Detailed design is carried out, after selecting the outer diameter of the rotor on the basis of the output equation. The generation characteristic of designed generator is verified by using Finite Element Method (FEM).

Rescuing Developing Thymocytes from Death by Neglect

  • Chung, Hee-Kyoung;Choi, Young-I.;Ko, Myung-Gon;Seong, Rho-H.
    • BMB Reports
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    • v.35 no.1
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    • pp.7-18
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    • 2002
  • The major function of the thymus is to eliminate developing thymocytes that are potentially useless or autoreactive, and select only those that bear functional T cell antigen receptors (TCRs) through fastidious screening. It is believed that glucocorticoids (GCs) are at least in part responsible for cell death during death by neglect. In this review, we will mainly cover the topic of the GC-induced apoptosis of developing thymocytes. We will also discuss how thymocytes that are fated to die by GCs can be rescued from GC-induced apoptosis in. response to a variety of signals with antagonizing properties for GC receptor (GR) signaling. Currently, a lot of evidence supports the notion that the decision is made as a result of the integration of the multiple signal transduction networks that are triggered by GR, TCR, and Notch. A few candidate molecules at the converging point of these multiple signaling pathyways will be discussed. We will particularly describe the role of the SRG3 protein as a potent modulator of GC-induced apoptosis in the crosstalk.

Segmentation of 3D Visible Human Color Images by Balloon (Balloon을 이용한 3차원 Visible human 컬러 영상의 분할 방법)

  • 김한영;김동성;강흥식
    • Proceedings of the IEEK Conference
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    • 2001.06e
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    • pp.73-76
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    • 2001
  • A segmentation is a prior processing for medical image analysis and 3D reconstruction. This Paper provides the method to segment 3D Visible Human color images. Firstly, the reference images that have a initial curve are segmented using Balloon and the results are propagated to the adjacent images. In the propagation processing, the result of the adjacent slice is modified by Edge-limited SRG Finally, the 3D Balloon improves the segmentation results of each 2D slice. the proposed method's performance was verified through the experiments to segment thigh muscles of Visible Human color images.

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Passive 3D motion optical data in shaking table tests of a SRG-reinforced masonry wall

  • De Canio, Gerardo;de Felice, Gianmarco;De Santis, Stefano;Giocoli, Alessandro;Mongelli, Marialuisa;Paolacci, Fabrizio;Roselli, Ivan
    • Earthquakes and Structures
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    • v.10 no.1
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    • pp.53-71
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    • 2016
  • Unconventional computer vision and image processing techniques offer significant advantages for experimental applications to shaking table testing, as they allow the overcoming of most typical problems of traditional sensors, such as encumbrance, limitations in the number of devices, range restrictions and risk of damage of the instruments in case of specimen failure. In this study, a 3D motion optical system was applied to analyze shake table tests carried out, up to failure, on a natural-scale masonry structure retrofitted with steel reinforced grout (SRG). The system makes use of wireless passive spherical retro-reflecting markers positioned on several points of the specimen, whose spatial displacements are recorded by near-infrared digital cameras. Analyses in the time domain allowed the monitoring of the deformations of the wall and of crack development through a displacement data processing (DDP) procedure implemented ad hoc. Fundamental frequencies and modal shapes were calculated in the frequency domain through an integrated methodology of experimental/operational modal analysis (EMA/OMA) techniques with 3D finite element analysis (FEA). Meaningful information on the structural response (e.g., displacements, damage development, and dynamic properties) were obtained, profitably integrating the results from conventional measurements. Furthermore, the comparison between 3D motion system and traditional instruments (i.e., displacement transducers and accelerometers) permitted a mutual validation of both experimental data and measurement methods.

A Study on Automatic Tooth Root Segmentation For Dental CT Images (자동 치아뿌리 영역 검출 알고리즘에 관한 연구)

  • Shin, Seunghwan;Kim, Yoonho
    • The Journal of Society for e-Business Studies
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    • v.19 no.4
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    • pp.45-60
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    • 2014
  • Dentist can obtain 3D anatomical information without distortion and information loss by using dental Computed Tomography scan images on line, and also can make the preoperative plan of implant placement or orthodontics. It is essential to segment individual tooth for making an accurate diagnosis. However, it is very difficult to distinguish the difference in the brightness between the dental and adjacent area. Especially, the root of a tooth is very elusive to automatically identify in dental CT images because jawbone normally adjoins the tooth. In the paper, we propose a method of automatically tooth region segmentation, which can identify the root of a tooth clearly. This algorithm separate the tooth from dental CT scan images by using Seeded Region Growing method on dental crown and by using Level-set method on dental root respectively. By using the proposed method, the results can be acquired average 19.2% better accuracy, compared to the result of the previous methods.

A Fast Lower Extremity Vessel Segmentation Method for Large CT Data Sets Using 3-Dimensional Seeded Region Growing and Branch Classification

  • Kim, Dong-Sung
    • Journal of Biomedical Engineering Research
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    • v.29 no.5
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    • pp.348-354
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    • 2008
  • Segmenting vessels in lower extremity CT images is very difficult because of gray level variation, connection to bones, and their small sizes. Instead of segmenting vessels, we propose an approach that segments bones and subtracts them from the original CT images. The subtracted images can contain not only connected vessel structures but also isolated vessels, which are very difficult to detect using conventional vessel segmentation methods. The proposed method initially grows a 3-dimensional (3D) volume with a seeded region growing (SRG) using an adaptive threshold and then detects junctions and forked branches. The forked branches are classified into either bone branches or vessel branches based on appearance, shape, size change, and moving velocity of the branch. The final volume is re-grown by collecting connected bone branches. The algorithm has produced promising results for segmenting bone structures in several tens of vessel-enhanced CT image data sets of lower extremities.

High vacuum packaging and vacuum evaluation for field emission display

  • Jung, S.J.;Woo, K.J.;Lee, N.Y.;Ahn, S.;Moon, G.J.;Kim, K.S.;Kim, M.S.
    • Journal of Korean Vacuum Science & Technology
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    • v.3 no.1
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    • pp.95-97
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    • 1999
  • A 3.12" FED panel was packaged successfully using the anode plate on which phosphors and black matrix were coated and cathode plate containing emitter arrays. The vacuum level of the panel was investigated during panel evacuation, tip-off and getter activation process. The packaged panel exhibited vacuum level below 2${\times}$10-6 Torr. Similar experiments were carried out for 10" panel made of bare plates. In addition, the vacuum level of two panels was compared continuously after tip off process; one with the getter and the other without it.

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A Coverage Function for Arbitrary Testing Profile and Its Performance

  • Park Joong-Yang;Fujiwara Takaji;Park Jae-Heung
    • International Journal of Reliability and Applications
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    • v.6 no.2
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    • pp.87-99
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    • 2005
  • Coverage-based software reliability growth models (SRGMs) have been developed and successfully applied in practice. Performance of a coverage-based SRG M depends on the coverage function employed by the SRGM. When the coverage function represents the coverage growth behavior well irrespective of type of the testing profile the corresponding coverage-based SRGM is expected to be widely applicable. This paper first conducts a study of selecting the most representative coverage functions among the available coverage functions. Then their performances are empirically evaluated and compared. The result provides a foundation for developing widely applicable coverage-based SRGMs and monitoring the progress of a testing process.

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