• Title/Summary/Keyword: Cell complex

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Design of an Intelligent Robot Control System Using Neural Network (신경회로망을 이용한 지능형 로봇 제어 시스템 설계)

  • 정동연
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.182-187
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    • 2000
  • In this paper, we have proposed a new approach to the design of robot vision system to develop the technology for the automatic test and assembling of precision mechanical and electronic parts for the factory automation. In order to perform real time implementation of the automatic assembling tasks in the complex processes, we have developed an intelligent control algorithm based-on neural networks control theory to enhance the precise motion control. Implementing of the automatic test tasks has been performed by the real-time vision algorithm based-on TMS320C31 DSPs. It distinguishes correctly the difference between the acceptable and unacceptable defective item through pattern recognition of parts by the developed vision algorithm. Finally, the performance of proposed robot vision system has been illustrated by experiment for the similar model of fifth cell among the twelve cell for similar model of fifth cell among the twelve cell for automatic test and assemblig in S company.

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Synthesis of Poly(2,6-dimethyl-1,4-phenylene oxide) containing Poly(styrene sulfonic acid) for Fuel Cell (연료전지용 Poly(styrene sulfonic acid)를 갖는 Poly(2,6-dimethyl-1,4-phenylene oxid)의 합성)

  • An, Sung-Guk;Cho, Chang-Gi
    • Proceedings of the Korean Fiber Society Conference
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    • 2003.10b
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    • pp.34-37
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    • 2003
  • The development and improvement of advanced fuel cell systems is a major topic of current research, since fuel cells are considerably more efficient than other energy converters$^1$. In proton exchange membrane fuel cell and direct methanol fuel cell the polymer membrane represents a key component. The membrane materials fulfill complex requirements. It has to combine electrochemical stability, workability, high ionic conductivity, low permeation of the reactants (methanol etc.) (omitted)

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Ultrastructure of Endocrine Cells in the Midgut Epithelium of the Japanese Cockroach, Periplaneta japonica (집바퀴의 중장 상피조직내에 있는 내분비세포의 미세구조)

  • Yu, Chai-Hyeock
    • Applied Microscopy
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    • v.26 no.4
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    • pp.421-430
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    • 1996
  • The endocrine cells in the midgut epithelium of the Japanese cockroach, Periplaneta japonica were observed by the light and electron microscopy. The midgut epithelium of the last instar larva and adult cockroach consisted of principal columnar cells, regenerative cells, and secretory granular cells. Midgut endocrine cells were positioned basally as a cone-shaped single cell in the epithelium or underneath the regenerative crypt cells. When midgut epithelium grows and the cell composing it transforms, between the endocrine cells and regenerative cells were made desmosome type junction and large vesicular shaped stretches of loose contact. The endocrine cells were characterized by a clear cytoplasm with abundant Golgi complex and numerous secretory granules. The secretory granules in the cell were spherical and electron dense with their diameter of $200{\sim}400nm$. The secretory granules have been observed as discharged by exocytosis on the basal and lateral side of the cell.

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A Rice Blast Fungus Alpha-N-Arabinofuranosidase B Elicits Host Defense in Rice

  • Kim, Sun-Tae
    • 한국균학회소식:학술대회논문집
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    • 2015.11a
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    • pp.23-23
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    • 2015
  • Rice blast disease caused by M. oryzae is the most devastating fungal disease in rice. During the infection process, M. oryzae secretes a large number of glycosyl hydrolase (GH) proteins into the apoplast to digest host cell wall and assist fungal ingress into host tissues. In this study, we identified a novel M. oryze arabinofuranosidase B (MoAbfB) which is secreted during fungal infection. Live-cell imaging exhibited that fluorescent labeled MoAbfB was highly accumulated in fungal invasive structures such as appressorium, tips of penetration peg, biotrophic interfacial complex (BIC), as well as invasive hyphal tip. Deletion of MoAbfB mutants extended biotrophic phase followed by enhanced disease severity, whereas, over-expression of OsMoAbfB mutant induced rapid defense responses and enhanced rice resistance to M. oryzae infection. Furthermore, exogenous treatment of MoAbfB protein showed inhibition of fungal infection via priming of defense gene expression. We later found that the extract of MoAbfB degraded rice cell wall fragments could also induce host defense activation, suggesting that not MoAbfB itself but oligosaccharides (OGs) derived from MoAbfB dissolved rice cell wall elicited rice innate immunity.

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The Design of Intelligent Human Cell Management System with RFID (RFID와 연계한 인체자원관리 시스템 설계)

  • Kim, Ki-Bong
    • Journal of Digital Convergence
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    • v.11 no.3
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    • pp.311-316
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    • 2013
  • In order to maximize an efficient management of human cell resource under the cryogenic environments, in this paper, a middleware is introduced to support the function for multiple-perceiving RFID tags of intelligent sample case which can share medical information between sensor network devices. Optimized user interface is also designed for that. On based of the designing, special tasks required of a genetic resource working process can be processed on Complex Machine.

Reference Feature Based Cell Decomposition and Form Feature Recognition (기준 특징형상에 기반한 셀 분해 및 특징형상 인식에 관한 연구)

  • Kim, Jae-Hyun;Park, Jung-Whan
    • Korean Journal of Computational Design and Engineering
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    • v.12 no.4
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    • pp.245-254
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    • 2007
  • This research proposed feature extraction algorithms as an input of STEP Ap214 data, and feature parameterization process to simplify further design change and maintenance. The procedure starts with suppression of blend faces of an input solid model to generate its simplified model, where both constant and variable-radius blends are considered. Most existing cell decomposition algorithms utilize concave edges, and they usually require complex procedures and computing time in recomposing the cells. The proposed algorithm using reference features, however, was found to be more efficient through testing with a few sample cases. In addition, the algorithm is able to recognize depression features, which is another strong point compared to the existing cell decomposition approaches. The proposed algorithm was implemented on a commercial CAD system and tested with selected industrial product models, along with parameterization of recognized features for further design change.

Phase Identification of Al-Ti Alloys Using Convergent Beam Electron Diffraction Pattern (수렴성 빔 전자회절 도형을 이용한 Al-Ti 합금의 상 분석)

  • Kim, Hye-Sung
    • Journal of the Korean Society of Industry Convergence
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    • v.4 no.2
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    • pp.149-155
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    • 2001
  • The use of primitive cell volume and zero order Laue (ZOLZ) pattern is proposed to identify phase in a complex microstructure. Single convergent beam electron pattern containing higher order Laue zone ring from a nanosized region is sufficient to calculate the primitive cell volume of the phase, while ZOLZ pattern is used to determine the zone axis of the crystal. A computer program is used to screen out possible phases from the value of measured cell volume from convergent beam electron diffraction (CBED) pattern. Indexing of ZOLZ pattern follows in the program to find the zone axis of the identification from a single CBED pattern. An example of the analysis is given from the rapidly solidified $Al-Al_3Ti$ system.

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Mechanisms of amino acid sensing in mTOR signaling pathway

  • Kim, Eun-Jung
    • Nutrition Research and Practice
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    • v.3 no.1
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    • pp.64-71
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    • 2009
  • Amino acids are fundamental nutrients for protein synthesis and cell growth (increase in cell size). Recently, many compelling evidences have shown that the level of amino acids is sensed by extra- or intra-cellular amino acids sensor(s) and regulates protein synthesis/degradation. Mammalian target of rapamycin complex 1 (mTORC1) is placed in a central position in cell growth regulation and dysregulation of mTOR signaling pathway has been implicated in many serious human diseases including cancer, diabetes, and tissue hypertrophy. Although amino acids are the most potent activator of mTORC1, how amino acids activate mTOR signaling pathway is still largely unknown. This is partly because of the diversity of amino acids themselves including structure and metabolism. In this review, current proposed amino acid sensing mechanisms to regulate mTORC1 and the evidences pro/against the proposed models are discussed.

An Experimental Study on the Bee Venom Collector Using the Photovoltaic System (전원장치로 태양광을 이용하는 봉독 채집기에 관한 실험적 연구)

  • Cho, Nam-Cheol;Lee, Chae-Moon;Kim, Choul-Goo
    • Journal of the Korean Solar Energy Society
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    • v.31 no.4
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    • pp.122-127
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    • 2011
  • A bee venom is very useful and expensive medical resource. A bee venom collector has some difficulties and inconveniences because of its complex component. This is used normal battery as an electric power. However, using the solar cell of the bee venom collector reduces economic burden and guarantees high efficiency. We have performed comparative experiment between the bee venom collector to use battery and the one to use solar cell(polycrystalline silicon) by collecting the bee venom simultaneously. At the same electricity, the electric frequency(AC),312 Hz is more superior than 450Hz. This paper verified through the experiments that the bee venom collector to adopt solar cell is more effective than normal collector.

Nonlinear viscous material model

  • Ivica Kozar;Ivana Ban;Ivan Zambon
    • Coupled systems mechanics
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    • v.12 no.5
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    • pp.419-428
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    • 2023
  • We have developed a model for estimating the parameters of viscous materials from indirect tensile tests for asphalt. This is a simple Burger nonlinear rheological two-cell model or standard model. At the same time, we begin to develop a more versatile and complex multi-cell model. The simple model is validated using experimental load-displacement results from laboratory tests: The recorded displacements are used as input values and the measured force data are simulated with the model. The optimal model parameters are estimated using the Levenberg-Marquardt method and a very good agreement between the experimental results and the model calculations is shown. However, not all parts of the model are active in the loading phase of the experiment, so we extended the validation of the model to the simulation of the relaxation behaviour. In this stage, the other model parameters are activated and the simulation results are consistent with the literature. At this stage, we have estimated the parameters only for the two-cell uniaxial model, but further work will include results for the multi-cell model.