• Computers and Concrete
• /
• 제22권2호
• /
• pp.227-237
• /
• 2018

Today, the modeling of concrete as a material within finite element simulations is predominantly done through nonlinear material models of concrete. In current sophisticated computational systems, there are a number of complex concrete material models which are based on theory of plasticity, damage mechanics, linear or nonlinear fracture mechanics or combinations of those theories. These models often include very complex constitutive relations which are suitable for the modeling of practically any continuum mechanics tasks. However, the usability of these models is very often limited by their parameters, whose values must be defined for the proper realization of appropriate constitutive relations. Determination of the material parameter values is very complicated in most material models. This is mainly due to the non-physical nature of most parameters, and also the large number of them that are frequently involved. In such cases, the designer cannot make practical use of the models without having to employ the complex inverse parameter identification process. In continuum mechanics, however, there are also constitutive relations that require the definition of a relatively small number of parameters which are predominantly of a physical nature and which describe the behavior of concrete very well within a particular task. This paper presents an example of such constitutive relations which have the potential for implementation and application in finite element systems. Specifically, constitutive relations for modeling the plane stress state of concrete are presented and subsequently tested and evaluated in this paper. The relations are based on the incremental theory of elastic strain-hardening plasticity in which a non-associated flow rule is used. The calculation result for the case of concrete under uniaxial compression is compared with the experimental data for the purpose of the validation of the constitutive relations used.

• Journal of Ginseng Research
• /
• 제44권5호
• /
• pp.747-755
• /
• 2020

Background: Ginsenosides accumulation responses to temperature are critical to quality formation in cold-dependent American ginseng. However, the studies on cold requirement mechanism relevant to ginsenosides have been limited in this species. Methods: Two experiments were carried out: one was a multivariate linear regression analysis between the ginsenosides accumulation and the environmental conditions of American ginseng from different sites of China and the other was a synchronous determination of ginsenosides accumulation, overall DNA methylation, and relative gene expression in different tissues during different developmental stages of American ginseng after experiencing different cold exposure duration treatments. Results: Results showed that the variation of the contents as well as the yields of total and individual ginsenosides Rg1, Re, and Rb1 in the roots were closely associated with environmental temperature conditions which implied that the cold environment plays a decisive role in the ginsenoside accumulation of American ginseng. Further results showed that there is a cyclically reversible dynamism between methylation and demethylation of DNA in the perennial American ginseng in response to temperature seasonality. And sufficient cold exposure duration in winter caused sufficient DNA demethylation in tender leaves in early spring and then accompanied the high expression of flowering gene PqFT in flowering stages and ginsenosides biosynthesis gene PqDDS in green berry stages successively, and finally, maximum ginsenosides accumulation occurred in the roots of American ginseng. Conclusion: We, therefore, hypothesized that cold-induced DNA methylation changes might regulate relative gene expression involving both plant development and plant secondary metabolites in such cold-dependent perennial plant species.

• 한국컴퓨터정보학회논문지
• /
• 제12권5호
• /
• pp.73-81
• /
• 2007

본 논문은 문자의 특징을 추출하여 다중연결 인식기를 통해 신규 자동차 번호판을 인식하는 방법을 제안한다. 이를 위해 영상 전처리과정과 번호판 영역 추출을 위한 과정과 개별문자 추출 과정을 통해 얻어진 개별문자를 인식을 위해 FE-MCBP를 제안하였다. FE-MCBP는 차량 번호판처럼 한글과 숫자가 혼용된 문자열을 인식할 때는 문자의 특징을 기반으로 하는 인식기로서 기존 역전파 인식기에 비해 인식률 면에서 9.7%가 향상되었다. 아울러 기울어진 번호판 영상을 정규화하기 위하여 직선 성분 검출 및 영역 좌표 생성기술을 이용하였다. 시스템 운용 면에서 볼 때 신규차량번호판 인식 시스템은 번호판 영역이 기울진 영상도 인식이 가능하기 때문에 비스듬하게 획득된 번호판 영상이나, 훼손된 번호판의 경우도 인식이 가능한 것으로 연구결과 나타났다.

• 한국컴퓨터정보학회논문지
• /
• 제15권7호
• /
• pp.83-90
• /
• 2010

어휘 인식 시스템에서 인식률 저하의 요인으로는 유사한 음소 인식과 부정확한 어휘 제공으로 인해 오인식 오류가 존재한다. 부정확한 어휘의 입력으로 특징을 추출하여 인식할 경우 오인식의 결과가 나타나거나 유사한 음소로 인식되며 특징 추출이 제대로 이루어지지 않으면 음소 인식 시 유사한 음소로 인식하게 된다. 따라서 본 논문에서는 음소가 갖는 특징을 기반으로 음소 유사율을 이용한 어휘 인식 후처리에서의 오류 보정 후처리 시스템을 제안하였다. 음소 유사율은 모노폰으로 훈련시킨 훈련 데이터를 각각의 음소에 MFCC와 LPC 특징 추출 방법을 이용하여 구하였다. 유사한 음소는 정확한 음소로 인식할 수 있도록 유도하여 부정확한 어휘 제공으로 인하여 오인식되는 오류를 최소화하였다. 음소 유사율과 신뢰도를 이용하여 오류 보정율을 구하였으며, 어휘 인식 과정에서 오류로 판명된 어휘에 대하여 오류 보정을 수행하였다. 에러패턴 학습을 이용한 시스템과 의미기반을 이용한 시스템에 비해 시스템 성능 평가 결과 MFCC와 LPC는 각각 7.5%와 5.3%의 인식 향상률을 보였다.

• 제어로봇시스템학회논문지
• /
• 제8권2호
• /
• pp.126-135
• /
• 2002

The study is concerned with an approach to the design of new architectures of fuzzy neural networks and the discussion of comprehensive design methodology supporting their development. We propose an Adaptive Fuzzy Polynomial Neural Networks(APFNN) based on Fuzzy Neural Networks(FNN) and Self-organizing Networks(SON) for model identification of complex and nonlinear systems. The proposed AFPNN is generated from the mutually combined structure of both FNN and SON. The one and the other are considered as the premise and the consequence part of AFPNN, respectively. As the premise structure of AFPNN, FNN uses both the simplified fuzzy inference and error back-propagation teaming rule. The parameters of FNN are refined(optimized) using genetic algorithms(GAs). As the consequence structure of AFPNN, SON is realized by a polynomial type of mapping(linear, quadratic and modified quadratic) between input and output variables. In this study, we introduce two kinds of AFPNN architectures, namely the basic and the modified one. The basic and the modified architectures depend on the number of input variables and the order of polynomial in each layer of consequence structure. Owing to the specific features of two combined architectures, it is possible to consider the nonlinear characteristics of process system and to obtain the better output performance with superb predictive ability. The availability and feasibility of the AFPNN are discussed and illustrated with the aid of two representative numerical examples. The results show that the proposed AFPNN can produce the model with higher accuracy and predictive ability than any other method presented previously.

• JSTS:Journal of Semiconductor Technology and Science
• /
• 제14권1호
• /
• pp.100-108
• /
• 2014

Low noise amplifier (LNA) is an integral component of RF receiver and frequently required to operate at wide frequency bands for various wireless system applications. For wideband operation, important performance metrics such as voltage gain, return loss, noise figure and linearity have been carefully investigated and characterized for the proposed LNA. An inductive shunt feedback configuration is successfully employed in the input stage of the proposed LNA which incorporates cascaded networks with a peaking inductor in the buffer stage. Design equations for obtaining low and high impedance-matching frequencies are easily derived, leading to a relatively simple method for circuit implementation. Careful theoretical analysis explains that input impedance can be described in the form of second-order frequency response, where poles and zeros are characterized and utilized for realizing the wideband response. Linearity is significantly improved because the inductor located between the gate and the drain decreases the third-order harmonics at the output. Fabricated in $0.18{\mu}m$ CMOS process, the chip area of this wideband LNA is $0.202mm^2$, including pads. Measurement results illustrate that the input return loss shows less than -7 dB, voltage gain greater than 8 dB, and a little high noise figure around 6-8 dB over 1.5 - 13 GHz. In addition, good linearity (IIP3) of 2.5 dBm is achieved at 8 GHz and 14 mA of current is consumed from a 1.8 V supply.

• 전기전자학회논문지
• /
• 제19권2호
• /
• pp.201-209
• /
• 2015

본 논문에서는 빛에너지 하베스팅을 이용한 MPPT(Maximum Power Point Tracking) 제어 기능을 갖는 배터리 충전기를 제안한다. 제안된 회로는 MPPT를 이용하여 빛 에너지를 PV(photovoltaic) 셀로부터 수확하고, 수확한 에너지를 배터리에 연결하여 충전한다. 배터리 관리 회로에서 출력되는 신호에 따라, 배터리의 충전 상태가 조절된다. MPPT 제어는 PV 셀의 개방회로 전압과 MPP 전압간의 비례관계를 이용하여, 보조(pilot) PV 셀로 하여금 주(main) PV 셀의 MPP를 실시간 추적할 수 있도록 설계하였다. 제안된 회로는 $0.35{\mu}m$ CMOS 공정으로 설계하였으며, 모의실험을 통해 성능을 검증하였다. 설계된 회로의 최대 효율은 86.2%이며 칩 면적은 패드를 포함하여$1.35mm{\times}1.2mm$이다.

• 한국지진공학회논문집
• /
• 제20권6호
• /
• pp.379-389
• /
• 2016

This study intends to evaluate the conservativeness of the fixed-base analysis as compared to the soil-structure interaction (SSI) analysis for the seismically isolated model of a nuclear power plant in Korea. To that goal, the boundary reaction method (BRM), combining frequency-domain and time-domain analyses in a twofold process, is adopted for the SSI analysis considering the nonlinearity of the seismic base isolation. The program KIESSI-3D is used for computing the reaction forces in the frequency domain and the program MIDAS/Civil is applied for the nonlinear time-domain analysis. The BRM numerical model is verified by comparing the results of the frequency-domain analysis and time-domain analysis for the soil-structure system with an equivalent linear base isolation model. Moreover, the displacement response of the base isolation and the horizontal response at the top of the structure obtained by the nonlinear SSI analysis using BRM are compared with those obtained by the fixed-base analysis. The comparison reveals that the fixed-base analysis provides conservative peak deformation for the base isolation but is not particularly conservative in term of the floor response spectrum of the superstructure.

• 대한전자공학회논문지TC
• /
• 제37권3호
• /
• pp.1-8
• /
• 2000

본 논문에서는 현재 이동통신 시스템의 한 형태로 단말기의 하드웨어 구현이 간단하고 IC제작이 경제적 이어서 무선호출시스템 등에 많이 사용되고 있는 FSK 신호 복조를 위한 Quadrature Detector의 디지털 시뮬레이션 모델을 구현하였다. Quadrature Detector는 아날로그 소자로서 입력신호의 주파수에 따라 다른 위상 변화값이 비선형적으로 출력되어 지금까지 시뮬레이션을 통한 정확한 시스템 특성 분석이 어려웠었다. 이에 본 논문에서는 Quadrature Detector를 이용한 FSK 신호의 복조과정을 전개하고 디지털 시뮬레이션 을 수행하여 최적 성능을 도출하였다. 먼저 Quadrature Detector의 시뮬레이션을 위해 RLC 탱크회로 (Tank Circuit)로 구성된 PSN(Phase Shift Network)의 아날로그 전달함수를 First Order Hold 이론을 이용하여 디지털 전달함수로의 등가변환을 유도하였다. 또한 4FSK신호에 대한 Quadrature Detector의 복조신호 출력 형태가 4-level 신호인데, 이를 2개의 비교기(Comparator)만을 사용할 경우 최적 성능을 얻기 위한 임계레벨 결정과 동작 파라메터 Q값 설정방법을 제안하였으며 BER 분석을 통해 검증하였다

• The Journal of Advanced Prosthodontics
• /
• 제4권4호
• /
• pp.218-226
• /
• 2012

PURPOSE. The purpose of this study was to propose finite element (FE) modeling methods for predicting stress distributions on teeth and mandible under chewing action. MATERIALS AND METHODS. For FE model generation, CT images of skull were translated into 3D FE models, and static analysis was performed considering linear material behaviors and nonlinear geometrical effect. To find out proper boundary and loading conditions, parametric studies were performed with various areas and directions of restraints and loading. The loading directions are prescribed to be same as direction of masseter muscle, which was referred from anatomy chart and CT image. From the analysis, strain and stress distributions of teeth and mandible were obtained and compared with experimental data for model validation. RESULTS. As a result of FE analysis, the optimized boundary condition was chosen such that 8 teeth were fixed in all directions and condyloid process was fixed in all directions except for forward and backward directions. Also, fixing a part of mandible in a lateral direction, where medial pterygoid muscle was attached, gave the more proper analytical results. Loading was prescribed in a same direction as masseter muscle. The tendency of strain distributions between the teeth predicted from the proposed model were compared with experimental results and showed good agreements. CONCLUSION. This study proposes cost efficient FE modeling method for predicting stress distributions on teeth and mandible under chewing action. The proposed modeling method is validated with experimental data and can further be used to evaluate structural safety of dental prosthesis.