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Protective Effects of Ukyium(우귀음, Yougui-yin) in Zinc-induced Apoptosis of C6 Glial Cells (우귀음이 Zinc에 의한 신경교세포의 고사(Apoptosis)에 미치는 영향)

  • 이영구;문병순
    • The Journal of Korean Medicine
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    • v.22 no.3
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    • pp.63-73
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    • 2001
  • Objectives : The objective of the current study is to determine the protective effect of Ukyium(Yougui-yin) on the apoptosis induced by zinc. Methods : Zinc is known to generate reactive oxygen species (ROS), including superoxide anion ($O_2$) and hydrogen peroxide ($H_2O_2$), which eventually contribute to cytotoxicity in a variety of cell types. We investigated the viablity of cells, $H_2O_2$ generation, chromatin condensation and nuclear fragmentation in Hoechst dye staining and $IkB-{\alpha}$ degradation in C6 glial cells of $ZnCl_2$ between pretreatment- and not pretreatment-group with Ukyium. The former methods were researched by Time- and Dose-dependent manners. Results : We demonstrated that pretreatment with Ukyium prevented zinc-induced cell death of C6 glial cells and apoptotic characteristics including chromatin condensation and nuclear fragmentation. Ukyium also prevented $H_2O_2-induced$ cell death. We further confirmed that Ukyium decreased zinc-induced generation of $H_2O_2$ and inhibited degradation of $IkB-{\alpha}$ by zinc in C6 glial ceHs. Conclusions : These data indicated that Ukyium (Yougui-yin) prevents zinc-induced apoptotic death of C6 glial cells via inhibition of ROS generation, such as $H_2O_2$ as well as inhibition of $IkB-{\alpha}$ degradation.

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Performance Analysis of Neural Network on Determining The Optimal Stand Management Regimes (임분의 적정 시업체계분석을 위한 Neural Network 기법의 적용성 검토)

  • Chung, Joo Sang;Roise, Joseph P.
    • Journal of Korean Society of Forest Science
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    • v.84 no.1
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    • pp.63-70
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    • 1995
  • This paper discusses applications of neural network to stand stocking control problems. The scope of this research was to develop a neural network model for finding optimal stand management regimes and examining the performance of the model for field application. Performance was analyzed in consideration of the number of training examples and structural aspects of neural network. Research on network performance was based on extensive optimization studies for pure longleaf pine(Pinus palustris) stands. For experimental purposes. an existing nonlinear even-aged stand optimization model with a whole-stand growth and yield simulator was used to generate data samples required for the performance analysis.

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Collective Oscillations of a Bubble Cloud as a Source of Underwater Ambient Noise in the Ocean (해양에서의 수중소음원으로서 기포군의 집단운동)

  • Yoon, S.W.;Park, K.J.;Crum, L.A.
    • The Journal of the Acoustical Society of Korea
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    • v.10 no.1
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    • pp.47-51
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    • 1991
  • it is well observed in the ocean that the surface disturbances due to rain, wind and breaking waves generate bubble clouds several meters deep from the water surfaces. Thses kinds of bubble clouds can work as a physical mechanism to produce underwater ambient noise. In the laboratory experiment observing the noise generated from a bubble cloud we showed a role of individual bubbles in collective oscillations of a bubble cloud. The experimental data agree very well with the theoretical predictions. These results confirm that the collective oscillations of a bubble cloud is one of the more likely mechanisms for an ocean ambient noise source around several hundred hertz.

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Automatic Reserve Price Generation for an Internet Auction System Using Moving Average (이동 평균을 이용한 인터넷 경매 시스템의 낙찰 예정가 자동생성)

  • 고민정;이용규
    • The Journal of Society for e-Business Studies
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    • v.9 no.2
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    • pp.17-31
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    • 2004
  • It is very important that sellers provide reasonable reserve prices for auction items in internet auction systems. Recently, an agent has been proposed to generate reserve prices automatically based on the case similarity of information retrieval theory. However, one of its drawbacks is that the recent trend of auction prices is not reflected in the generated reserve prices, because it suggests the bid price of the most similar item from the past auction data. In this paper, in order to overcome the problem, we propose a new method that generates reserve prices based on the moving average of time series analysis, in which more weight is provided to the recent bid prices. Through performance experiments, we show that the successful bid rate can be increased by preventing sellers from making unreasonable reserve prices.

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The Operational Method of the RFID Identification System for National Product Asset Management (국가물품자산관리를 위한 RFID 식별코드체계 운용방안)

  • Kim, Sun-Ho;Kim, Jin-Yong;Park, Jeong-Jae;Song, Ju-Hyung;Kim, Hyun-Min;Ann, Chong-Hwan
    • The Journal of Society for e-Business Studies
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    • v.12 no.3
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    • pp.19-31
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    • 2007
  • In this research, we propose the operational method of the RFID-based NPI (National Product Identifier) which can manage product assets for the Korean government in the future. First of all, we present the operational concept of the national product asset management. Second, we suggest the structure of the NPI which accommodates ISO/IEC 15459 and the method to encode NPI and related data to ISO/IEC 18000-6C tags. Finally, we propose the operational business processes to generate and manage NPI in the stages of product procurement and product asset management.

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Performance Evaluation of Throughput of 802.11e MAC Protocol for Supporting Internet QoS (인터넷 트래픽의 QoS 지원을 위한 802.11e MAC 프로토콜의 트래픽 처리율 성능평가)

  • Byun, Tae-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.3
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    • pp.446-452
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    • 2006
  • In this paper, I evaluated the throughput of various multimedia traffic by using computer simulation over wireless LAN environment based on 802.11e MAC protocol. The number of mobile terminals which generate various traffic and have different Internet QoS varies to improve the reliability of performance evaluation by simulation. Therefore, we investigate throughput of traffic that each mobile terminal generates. I expect that the result of study will be utilized as a fundamental data to control priorities of various types of traffic in case of formulating a scheduling policy supporting a variety of Internet QoS over wired and wireless networks.

Fractal-Based Interpolation of Sea Floor Terrains (프랙탈에 기초한 해저지형의 보간)

  • Lee, Hyun-Shik;Park, Dong-Jin;Jin, Gang-Gyoo
    • Journal of Navigation and Port Research
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    • v.33 no.6
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    • pp.451-456
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    • 2009
  • In this paper, we presents an algorithm which generates its high-resolution DTM using a low-resolution DTM of the sea floor terrain and fractal theory. The fractal dimension of each patch region divided from the DTM is extracted and then with this information and original data, each cell region in the patch is interpolated using the midpoint displacement method and a median filter is incorporated to generate natural and smooth sea floor surface. The effectiveness of the proposed algorithm is tested on a fractal terrain map.

SELECTIVE HASH-BASED WYNER-ZIV VIDEO CODING

  • Do, Tae-Won;Shim, Hiuk-Jae;Ko, Bong-Hyuck;Jeon, Byeung-Woo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.351-354
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    • 2009
  • Distributed video coding (DVC) is a new coding paradigm that enables to exploit the statistics among sources only in decoder and to achieve extremely low complex video encoding without any loss of coding efficiency. Wyner-Ziv coding, a particular implementation of DVC, reconstructs video by correcting noise on side information using channel code. Since a good quality of side information brings less noise to be removed by the channel code, generation of good side information is very important for the overall coding efficiency. However, if there are complex motions among frames, it is very hard to generate a good quality of side information without any information of original frame. In this paper, we propose a method to enhance the quality of the side information using small amount of additional information of original frame in the form of hash. By decoder's informing encoder where the hash has to be transmitted, side information can be improved enormously with only small amount of hash data. Therefore, the proposed method gains considerable coding efficiency. Results of our experiment have verified average PSNR gain up to 1 dB, when compared to the well-known DVC codec, known as DISCOVER codec.

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Real-Time Tool-Path Generation for 3-Axis CNC Machining of NURBS Surfaces (NURBS 곡면의 3축 CNC 가공을 위한 실시간 공구경로 생성)

  • Koo, Tae-Hoon;Jee, Sung-Chul
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.8
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    • pp.1418-1425
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    • 2003
  • In CAD systems, a surface to be machined is expressed by a series of curves, such as B-spline, Bezier and NURBS curves, which compose the surface and then in CAM systems the curves are divided into a large number of line or arc segments. These divided movement commands, however, cause many problems including their excessive size of NC data that makes almost impossible local adjustment or modification of the surface. To cope with those problems, the necessity of real-time curve or surface interpolators was embossed. This paper presents an efficient real-time tool-path generation method fur interpolation of NURBS surfaces in CNC machining. The proposed tool-path generation method is based on an improved iso-scallop strategy and can provide better precision than the existing methods. The proposed method is designed such that tool-path planning is easily managed in real-time. It proposed a new algorithm for regulation of a scallop height, which can efficiently generate tool-paths and can save machining time compared with the existing method. Through computer simulations, the performance of the proposed method is analyzed and compared with the existing method in terms of federate, total machining time and a degree of constraint on the scallop height.

Fuzzy Rules Generation and Inference System of Scatter Partition Method (분산 분할 방식의 퍼지 규칙 생성 및 추론 시스템)

  • Park, Keon-jun;Jang, Tae-Su;Kim, Sung-Hun;Kim, Yong-kab
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.35-36
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    • 2012
  • The generation of fuzzy rules is inevitable in order to construct fuzzy modeling and in general, has the problem that the number of rules increases exponentially with increasing dimension. To solve this problem, we introduce the system that generate the fuzzy rules and make a inference based on FCM clustering algorithm that partition the input space in the scatter form. The parameters in the premise part of the fuzzy rules is determined as membership matrix by the FCM clustering algorithm and the consequence part of the fuzzy rules is are expressed as a polynomial function. Proposed model evaluated using the numerical data.

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