• Computers and Concrete
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• 제12권5호
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• pp.697-715
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• 2013

Numerous studies have been conducted to understand the shear behavior of reinforced concrete (RC) beams since it is a complex phenomenon. The diagonal cracking strength of a RC beam is critical since it is essential for determining the minimum amount of stirrups and the contribution of concrete to the shear strength of the beam. Most of the existing equations predicting the diagonal cracking strength of RC beams are based on experimental data. A powerful computational tool for analyzing experimental data is an artificial neural network (ANN). Its advantage over conventional methods for empirical modeling is that it does not require any functional form and it can be easily updated whenever additional data is available. An ANN model was developed for predicting the diagonal cracking strength of RC slender beams without stirrups. It is shown that the performance of the ANN model over the experimental data considered in this study is better than the performances of six design code equations and twelve equations proposed by various researchers. In addition, a parametric study was conducted to study the effects of various parameters on the diagonal cracking strength of RC slender beams without stirrups upon verifying the model.

• 한국정보통신학회논문지
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• 제11권5호
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• pp.906-914
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• 2007

EPON의 상향전송방식에서는 다수의 ONU가 공유된 광 채널에 대한 권한을 공평하고 효율적으로 할당받기 위해서 동적대역할당 알고리즘을 사용한다. RC-DBA 알고리즘은 MPCP를 기반으로 QoS를 지원하면서 동일한 우선 순위일 경우 모든 ONU에게 공평한 대역할당을 지원하기 위해서 제안된 DBA알고리즘이다. 본 논문에서는 RC-DBA알고리즘을 적용한 OLT의 MAC 모듈과 MAC 제어 패킷을 송 수신하는 ONU 모듈을 하드웨어 기술 언어(Hardware Description Language)로 설계하였다. 또한 두 모듈을 UTP 케이블로 연결한 ONU/OLT 테스트베드 시스템을 구축하여 RC-DBA알고리즘을 통해 상향전송을 위한 타임슬롯의 할당이 어떻게 이루어지는지 확인하였다. 본 연구에서는 Corebell사의 IDS2000 FPGA Expansion 보드를 통하여 ONU/OLT 하드웨어 모듈과 임베디드 리눅스 기반의 검증 프로그램의 개발이 이루어졌다.

• Journal of Power Electronics
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• 제17권3호
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• pp.733-743
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• 2017

This paper develops a coordinated control strategy of the doubly fed induction generator (DFIG) system based on repetitive control (RC) under generalized harmonic grid voltage conditions. The proposed RC strategy in the rotor side converter (RSC) is capable of ensuring smooth DFIG electromagnetic torque that will enable the possible safe functioning of the mechanical components, such as gear box and bearing. Moreover, the proposed RC strategy in the grid side converter (GSC) aims to achieve sinusoidal overall currents of the DFIG system injected into the network to guarantee satisfactory power quality. The dc-link voltage fluctuation under the proposed control target is theoretically analyzed. Influence of limited converter capacity on the controllable area has also been studied. A laboratory test platform has been constructed, and the experimental results validate the availability of the proposed RC strategy for the DFIG system under generalized harmonic grid voltage conditions.

• Structural Engineering and Mechanics
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• 제72권3호
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• pp.383-393
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• 2019

Horizontal openings in reinforced concrete (RC) beams are quite often used to accommodate service pipelines. Several research papers are available in the literature describing their effect. RC beams with vertical openings are commonly used to accommodate service lines in residential buildings in Kuwait. However, there are lack of design guidelines and best practices reported in the literature for RC beams with vertical openings, whereas the detailed guidelines are available for beams with horizontal openings. In the present paper, laboratory experiments are conducted on nine RC beams with and without vertical openings. Parametric study has been carried out using nonlinear finite element analysis (FEA) with changes in the diameter of the opening, various positions of the opening along the length and width of the beam, edge distance, etc. 50 finite element simulations were conducted. The FEA results are verified using the results from the laboratory experiments. The study showed that the load carrying capacity of the beam is reduced by 20% for the RC beam with vertical openings placed near the center of the beam compared to a solid beam without an opening. Significant reduction in load carrying capacity is observed for beams with an opening near the support (${\approx}15%$). The overall stiffness of the beam, crack pattern and failure modes were not affected due to the presence of the vertical opening. Furthermore, an artificial neural network (ANN) analysis is carried out using the FEA generated data. The results and observations from the ANN and FEA are in good agreement with experimental results.

• 한국전산구조공학회논문집
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• 제18권2호
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• pp.201-211
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• 2005

철근콘크리트 부재의 전단거동에 대한 오랜 연구에 의하여 이에 대한 다양한 이론모델들과 제안식들이 존재한다. 그러나 전판거동의 메커니즘이 복잡하고 영향을 미치는 요소들이 많아서 이론모델들은 대부분 매우 복잡한 경향이 있고, 실험에 의한 제안식들은 제한된 범위내의 실험변수에 대해서만 유효한 경우가 많다. 이러한 문제점을 해결할 수 있는 대안의 하나로써 인공신경망이 여러 연구자들에 의하여 제안되어 왔으며, 본 논문에서는 인공신경망을 이용하여 전단보강근이 없는 철근콘크리트 보의 전단강토를 예측하였다 특히, 기존의 전단실험결과를 광범위하게 모아 구축한 데이타베이스를 활용함으로써 넓은 범위의 구조변수들을 포함한 다양한 부재들을 인공신경망의 훈련자료로 이용하였고, 인공신경망에 의한 전단강토 예측 결과를 ACI의 규준식, Zsutty, Okamura의 제안식들과도 비교 분석하였다. ACI의 규준식은 전단보강근이 없는 철근콘크리트 부재에 대해서 매우 부정확한 전단강도를 제공하였으며, Zsutty의 제안식은 ACI의 규준식에 비해 향상된 예측 결과를 보였으나 부재의 크기효과를 반영하지 못하였다. Okamura의 제안식은 주요 변수들의 영향을 비교적 잘 반영하여 상당히 정확하면서도 안정적인 전단강토를 제공하였다 이에 비해 인공신경망은 실험 결과에 가장 근접한 부재의 전단강도를 제공함으로써, 다양한 변수들의 영향을 매우 정확하게 반영할 수 있는 것으로 나타나서 인공신경망이 전단강도와 같이 메커니즘이 복잡하고 영향을 끼치는 변수들이 많은 다른 구조적 거동이나 강도를 예측하는데 매우 적절한 수단을 제공할 수 있음을 보여주었다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.599-602
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• 2003

A new technique is presented to construct predictive models of plasma etch processes. This was accomplished by combining a backpropagation neural network (BPNN) and a random generator (RC). The RG played a critical role to control neuron gradients in the hidden layer, The predictive model constructed in this way is referred to as a randomized BPNN (RG-BPNN). The proposed scheme was evaluated with a set of experimental plasma etch process data. The etch process was characterized by a 2$^3$ full factorial experiment. The etch responses modeled are 4, including aluminum (Al) etch rate, profile angle, Al selectivity, and do bias. Additional test data were prepared to evaluate model appropriateness. The performance of RC-BPNN was evaluated as a function of the number of hidden neurons and the range of gradient. for given range and hidden neurons, 100 sets of random neuron gradients were generated and among them one best set was selected for evaluation. Compared to the conventional BPNN, the proposed RC-BPNN demonstrated about 50％ improvements in all comparisons. This illustrates that the RG-BPNN of multi-valued gradients is an effective way to considerably improve the predictive ability of current BPNN of single-valued gradient.

• IEIE Transactions on Smart Processing and Computing
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• 제5권2호
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• pp.71-76
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• 2016

A controller area network (CAN) receiver measures differential voltage on a bus to determine the bus level. Since 3.3V transceivers generate the same differential voltage as 5V transceivers (usually ${\geq}1.5V$), all transceivers on the bus (regardless of supply voltage) can decipher the message. In fact, the other transceivers cannot even determine or show that there is anything different about the differential voltage levels. A new CMOS RC oscillator insensitive supply voltage for clock generation in a CAN transceiver was fabricated and tested to compensate for this drawback in CAN communication. The system consists of a symmetrical circuit for voltage and current switches, two capacitors, two comparators, and an RS flip-flop. The operational principle is similar to a bistable multivibrator but the oscillation frequency can also be controlled via a bias current and reference voltage. The chip test experimental results show that oscillation frequency and power dissipation are 500 kHz and 5.48 mW, respectively at a supply voltage of 3.3 V. The chip, chip area is $0.021mm^2$, is fabricated with $0.18{\mu}m$ CMOS technology from SK hynix.

• Structural Engineering and Mechanics
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• 제57권4호
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• pp.657-680
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• 2016

Reinforced concrete (RC) deep beams are structural members that predominantly fail in shear. Therefore, determining the shear strength of these types of beams is very important. The strut-and-tie method is commonly used to design deep beams, and this method has been adopted in many building codes (ACI318-14, Eurocode 2-2004, CSA A23.3-2004). In this study, the efficiency of artificial neural networks (ANNs) in predicting the shear strength of RC deep beams is investigated as a different approach to the strut-and-tie method. An ANN model was developed using experimental data for 214 normal and high-strength concrete deep beams from an existing literature database. Seven different input parameters affecting the shear strength of the RC deep beams were selected to create the ANN structure. Each parameter was arranged as an input vector and a corresponding output vector that includes the shear strength of the RC deep beam. The ANN model was trained and tested using a multi-layered back-propagation method. The most convenient ANN algorithm was determined as trainGDX. Additionally, the results in the existing literature and the accuracy of the strut-and-tie model in ACI318-14 in predicting the shear strength of the RC deep beams were investigated using the same test data. The study shows that the ANN model provides acceptable predictions of the ultimate shear strength of RC deep beams (maximum $R^2{\approx}0.97$). Additionally, the ANN model is shown to provide more accurate predictions of the shear capacity than all the other computed methods in this study. The ACI318-14-STM method was very conservative, as expected. Moreover, the study shows that the proposed ANN model predicts the shear strengths of RC deep beams better than does the strut-and-tie model approaches.

• 대한전자공학회논문지
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• 제9권3호
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• pp.9-16
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• 1972

본논문은 "s"를 변환함수로 하는 GIC회로가 자이레이터와 마찬가지로 인덕터를 RC능동회로로서 실헐할 수 있고, 또 임의의 안정한 전달함수가 GIC를 포함한 2단자대회로의 open-circuit voltage ratio로서 실현될 수 있음을 밝힌 것이다. 트랜지스터를 사용하여 GIC회로를 구성함에 있어시 트랜지스터의 nullator-norator model이 적어도 10kHz 이하의 주파수 범위에서 훌륭하게 적용될 수 있음이 밝혀졌다. GIC를 사용한 회로합성법의 특징은 다음괴 같다. 첫째로, 임의의 안정한 전달함수는 대단히 단순한 회로구성을 되풀이함으로서 체계계적으로 또 기계적으로 실현될 수 있다. 둘째로, 전체 회로에 있어서 GIC를 제외한 모든 회로요소는 저항뿐이다. 셋째로 n차의 전달함수를 실현하는데 있어서 필요한 콘덴서의 수효는 n이며, 이것은 가능한 가장 적은 수효라고 믿어진다.

• 제어로봇시스템학회논문지
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• 제10권2호
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• pp.185-191
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• 2004

Partial least squares(PLS) is one of multiplicate statistical process methods and has been developed in various algorithms with the characteristics of principal component analysis, dimensionality reduction, and analysis of the relationship between input variables and output variables. But it has been limited somewhat by their dependency on linear mathematics. The algorithm is proposed to classify for the non-linear data using PLS and the residual compensator(RC) based on radial basis function network (RBFN). It compensates for the error of the non-linear data using the RC based on RBFN. The experimental result is given to verify its efficiency compared with those of previous works.