• 대한전자공학회논문지SD
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• 제44권12호
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• pp.37-42
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• 2007

클락 그리드 네트워크(Clock Grid Network)는 대부분의 고속 마이크로 프로세서에서 클락 스큐를 줄이기 위한 일반적인 방법이다. 본 논문은 클락 그리드의 모델링과 분석을 위해서 S-파라미터(Scattering Parameter)를 사용한 새로운 효과적인 방법을 제안한다. 또한, 그리드 사이즈와 와이어(wire) 폭이 그리드의 클락 스큐에 미치는 영향을 제시한다. 본 논문에서 클락 그리드의 상호 연결은 RC 수동소자에 의해서 모델화 되고, 제안된 방법의 결과는 Hspice의 시뮬레이션 결과와 비교해서 10 % 내의 오차를 보여준다.

• Structural Engineering and Mechanics
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• 제61권5호
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• pp.605-615
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• 2017

Shear failure of reinforced concrete (RC) beams is a major concern for structural engineers. It has been shown through various studies that the shear strength and ductility of RC beams can be improved by adding steel fibers to the concrete. An accurate model predicting the shear strength of steel fiber reinforced concrete (SFRC) beams will help SFRC to become widely used. An artificial neural network (ANN) model consisting of an input layer, a hidden layer of six neurons and an output layer was developed to predict the shear strength of SFRC slender beams without stirrups, where the input parameters are concrete compressive strength, tensile reinforcement ratio, shear span-to-depth ratio, effective depth, volume fraction of fibers, aspect ratio of fibers and fiber bond factor, and the output is an estimate of shear strength. It is shown that the model is superior to fourteen equations proposed by various researchers in predicting the shear strength of SFRC beams considered in this study and it is verified through a parametric study that the model has a good generalization capability.

• Earthquakes and Structures
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• 제19권1호
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• pp.29-44
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• 2020

The effectiveness and the sensitivity of a Wireless impedance/Admittance Monitoring System (WiAMS) for the prompt damage diagnosis of two single-storey single-span Reinforced Concrete (RC) frames under cyclic loading is experimentally investigated. The geometrical and the reinforcement characteristics of the RC structural members of the frames represent typical old RC frame structure without consideration of seismic design criteria. The columns of the frames are vulnerable to shear failure under lateral load due to their low height-to-depth ratio and insufficient transverse reinforcement. The proposed Structural Health Monitoring (SHM) system comprises of specially manufactured autonomous portable devices that acquire the in-situ voltage frequency responses of a network of twenty piezoelectric transducers mounted to the RC frames. Measurements of external and internal small-sized piezoelectric patches are utilized for damage localization and assessment at various and increased damage levels as the magnitude of the imposed lateral cycle deformations increases. A bare RC frame and a strengthened one using a pair of steel crossed tension-ties (X-bracing) have been tested in order to check the sensitivity of the developed WiAMS in different structural conditions since crack propagation, damage locations and failure mode of the examined frames vary. Indeed, the imposed loading caused brittle shear failure to the column of the bare frame and the formation of plastic hinges at the beam ends of the X-braced frame. Test results highlighted the ability of the proposed SHM to identify incipient damages due to concrete cracking and steel yielding since promising early indication of the forthcoming critical failures before any visible sign has been obtained.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2005년도 전력전자학술대회 논문집
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• pp.211-213
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• 2005

RPA(Remelt Power Analysis)and RC(Remote Control) System have been researched from former several decade for a various power rate system a efficent power service and rising of personal expenses, etc. But the existing RPA and RC System have disadventage which are complex and high cost to install an individual communication network of electricity company This paper proposed a new type of RPA and RC System using PLC with Internet. and made components for proposal system so we made the PLC modem, the digital watt-hour meter with a build in PLC modem and the softwere on server computer for establishing the proposal system. The bit rate of the proposed system is about 4800bps.

• Computers and Concrete
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• 제3권5호
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• pp.335-355
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• 2006

The application of radial basis function neural networks (RBFN) to predict the ultimate torsional strength of reinforced concrete (RC) beams is explored in this study. A database on torsional failure of RC beams with rectangular section subjected to pure torsion was retrieved from past experiments in the literature; several RBFN models are sequentially built, trained and tested. Then the ultimate torsional strength of each beam is determined from the developed RBFN models. In addition, the predictions of the RBFN models are also compared with those obtained using the ACI 318 Code equations. The study shows that the RBFN models give reasonable predictions of the ultimate torsional strength of RC beams. Moreover, the results also show that the RBFN models provide better accuracy than the existing ACI 318 equations for torsion, both in terms of root-mean-square error and coefficients of determination.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 추계학술대회 논문집
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• pp.754-764
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• 2005

This paper presents the RC-Bank installation by its optimal location and design to reduce harmonics on the Korean high-speed railway system. The system model of the Korean high-speed railway system is based on 8-port representation, which is an extension of 2-port network theory. A new proposed model is for harmonic analysis in $2\times27.5kV$ traction power supply system including feeders, contact lines, rails and autotransformers. The proposed model is developed by combining fundamental element models of the Korean high-speed railway system, and it is verified by comparing simulation results with measurement data regarding the amplification rate of harmonic currents.

• 한국정보통신학회논문지
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• 제12권5호
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• pp.863-869
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• 2008

본 연구에서는 센서 네트워크 보안 메커니즘을 홈네트워크 구조에 적용한 시스템을 설계하고 이를 홈네트워크 미들웨어의 가상망에 구현하였다. 홈네트워크 미들웨어의 기본구조는 lookup 서버가 서비스 노드와 일대일 또는 브로드캐스트 통신 방식의 구조이며, 여기에 요구되는 보안요소는 일대일의 통신인 경우에는 기밀성과 인증, 브로드캐스트일 경우에는 브로드캐스트 인증의 보장이다. 센서 네트워크 보안 기술인 SPINS는 기밀성과 인증을 보장하는 SNEP와 브로드캐스트 인증을 제공하는 ${\mu}TESLA$ 부분으로 구성되는데 이를 홈네트워크 미들웨어의 기본구조에 적용한 시스템을 설계하였다. MAC 생성을 위한 CBC-MAC, 메시지 신선성을 제공하는 CTR, 메시지의 랜덤특성을 보장하여 주는 PRF 방식, 그리고 센서노드에 사용될 암호화 알고리즘으로는 낮은 연산량으로 충분한 보안성을 갖는 RC5를 이용하였다. 구현된 결과는 CTR 모드로 인해 공격자가 키를 습득하더라도 새로운 메시지를 복호화 할 수 없었으며 상호 MAC 교환으로 인해 정당한 사용자로부터 전송되었다는 것을 인증할 수 있었다. 이 구현 결과는 향후 효율적이고 안전한 홈 네트워크 시스템 개발에 응용될 수 있을 것으로 기대한다.

• Structural Engineering and Mechanics
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• 제63권2호
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• pp.237-249
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• 2017

The Self-Organization Feature Map as an unsupervised network is very widely used these days in engineering science. The applied network in this paper is the Self Organization Feature Map with constant weights which includes Kohonen Network. In this research, Reinforced Concrete Shear Wall buildings with different stories and heights are analyzed and a database consisting of measured fundamental periods and characteristics of 78 RC SW buildings is created. The input parameters of these buildings include number of stories, height, length, width, whereas the output parameter is the fundamental period. In addition, using Genetic Algorithm, the structure of the Self-Organization Feature Map algorithm is optimized with respect to the numbers of layers, numbers of nodes in hidden layers, type of transfer function and learning. Evaluation of the SOFM model was performed by comparing the obtained values to the measured values and values calculated by expressions given in building codes. Results show that the Self-Organization Feature Map, which is optimized by using Genetic Algorithm, has a higher capacity, flexibility and accuracy in predicting the fundamental period.

• IMMUNE NETWORK
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• 제7권1호
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• pp.39-47
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• 2007

Background: Stromal cell-derived factor (SDF)-1 is a potent chemoattractant for activated T cells into the inflamed Rheumatoid arthritis (RA) synovium. To determine the effect of macrophage migration inhibitory factor (MIF) on the production of SDF-1 in the inflamed RA synovium. Methods: The expression of SDF-1 and MIF in RA and Osteoarthritis (OA) synovium was examined by immunohistochemical staining. The SDF-1 was quantified by RT-PCR and ELISA after RA fibroblast like synoviocyte (FLS) were treated with MIF in the presence and absence of inhibitors of intracellular signal molecules. The synovial fluid (SF) and serum levels of MIF and SDF-1 in RA, OA and healthy control were measured by ELISA. Results: Expression of SDF-1 and MIF in synovium was higher in RA patients than in OA patients. The production of SDF-1 was enhanced in RA FLS by MIF stimulation. Such effect of MIF was blocked by the inhibitors of NF-${\kappa}B$. Concentrations of SDF-1 in the serum and SF were higher in RA patients than in OA patients and healthy control. SDF-1 and MIF was overexpressed in RA FLS, and MIF could up-regulate the production of SDF-1 in RA FLS via NF-${\kappa}B$-mediated pathways. Conclusion: These results suggest that an inhibition of interaction between MIF from T cells and SDF-1 of FLS may provide a new therapeutic approach in the treatment of RA.

• Computers and Concrete
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• 제8권5호
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• pp.597-616
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• 2011

With respect to rehabilitation, strengthening and retrofitting of existing and deteriorated columns in buildings and bridges, CFRP sheets have been found effective in enhancing the performance of existing RC columns by wrapping and bonding CFRP sheets externally around the concrete. Concrete columns and piers that are confined by both lateral steel reinforcement and CFRP are sometimes referred to as "hybrid" concrete columns. With the availability of experimental data on concrete columns confined by steel reinforcement and/or CFRP, the study presents modeling using artificial neural networks (ANNs) to predict the compressive strength of hybrid circular RC columns. The prediction of the ultimate confined compressive strength of RC columns is very important especially when this value is used in estimating the capacity of structures. The present ANN model used as parameters for the confining materials the lateral steel ratio (${\rho}_s$) and the FRP volumetric ratio (${\rho}_{FRP}$). The model gave good predictions for three types of confined columns: (a) columns confined with steel reinforcement only, (b) CFRP confined columns, and (c) hybrid columns confined by both steel and CFRP. The model may be used for predicting the compressive strength of existing circular RC columns confined with steel only that will be strengthened or retrofitted using CFRP.