• Title/Summary/Keyword: 비선형 도로

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Pavement Response in Flexible Pavements using Nonlinear Tire Contact Pressure and Measured Tire Contact Area (타이어의 접지 면적과 비선형 접지압력을 고려한 연성포장내의 거동 분석)

  • Jo, Myoung Hwan;Kim, Nakseok;Jeong, Jin-Hoon;Seo, Youngguk
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4D
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    • pp.601-608
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    • 2006
  • The important elements in pavement design criteria are the stress and strain distributions. To obtain reasonable stress and strain distribution, tire contact area and tire pressures are very important. In this study, finite element analysis was used to identify the three-dimension states using nonlinear tire contact pressure and measured tire contact area. Measured tire contact area was quite different from the assumed tire contact area, and it resulted in different strain states under the tire. At the surface course, considering tire rib and nonlinear tire pressure, the pavement response presented accurate data compared to the predicted one. However, at the binder course, tire effects were generally negligible and it showed that the predicted pavement response was different compared to the measured one.

Development of Nonlinear Downscaling Technique to Use GCM Data (GCM 자료를 활용하기 위한 비선형 축소기법의 개발)

  • Kim, Soo-Jun;Lee, Keon-Haeng;Kim, Hung-Soo;Jun, Hwan-Don
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.73-73
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    • 2011
  • 일반적으로 미래 기후자료를 산출하기 위하여 기후 시스템을 수치화한 GCM에 의한 결과를 사용한다. 하지만 GCM의 시공간적인 해상도의 문제로 기후변화에 따른 수자원 영향 분석을 위해서는 축소기법의 적용과정이 필요하다. 이를 위하여 전세계적으로 통계학적 방법에 의한 일기발생기를 이용한 축소기법 방법이 많이 이용되고 있다. 하지만 일기발생기에 의한 방법은 월 평균값의 연간 변동성이나 계절적 변화를 재현하는데 한계가 있는 것이 사실이다. 본 연구에서는 이러한 일기 발생기의 한계가 강우의 발생 특성이 평균과 표준편차로 대표되는 통계학적 기법에 근거하고 있기 때문이라고 파악하였다. 따라서 최저온도, 최고온도, 강수량, 상대습도, 풍속, 일사량과 같이 6개의 기상자료를 선정하여 비선형 관계를 고려할 수 있는 기법을 적용하고자 하였다. 이를 위하여 SRES A1B 기후변화 시나리오에 의한 CNCM3 기후모형의 결과를 이용하였고 각 관측소 마다 다양하게 발생하는 강우 특성은 과거의 강우 특성과 유사할 것이라는 가정하에 공간적 축소기법으로 인공 신경망(ANN: Artificial Neural Network) 을 적용하고 시간적 축소기법으로 최근린(NN: Nearest Neighbor) 방법과 유전자 알고리즘(GA: Genetic Algorithm)을 적용하는 기법을 함께 제시하였다. 이러한 기법들을 실제 남한강 유역의 기상관측소 지점으로 적용하여 검증한 결과 모의된 대부분의 기상자료가 관측치를 비교적 잘 재현하였다. 본 연구에서 제시한 비선형 축소기법은 추후 기후변화 연구에 중요한 방법론으로 활용될 수 있을 것으로 기대된다.

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Development of Vehicle Integrated Dynamics Control System with Brake System Control (제동 장치를 이용한 차량통합운동제어시스템 개발)

  • Song, Jeonghoon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.7
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    • pp.591-597
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    • 2017
  • This study is to develop a vehicle Integrated Dynamics Control System(IDCB) that can stabilize the lateral dynamics and maintain steerability. To accomplish this task, an eight degree of freedom vehicle model and a nonlinear observer are designed. The IDCB independently controls the brake systems of four wheels with a fuzzy logic control and a sliding model control. The result shows that the nonlinear observer produced satisfactory results. IDCB tracked the reference yaw rate and reduced the body slip angle under all tested conditions. It indicates that the IDCB enhanced lateral stability and preserved steerability.

Design Comparison of Totally Prefabricated Bridge Substructure Systems Designed by Present Design and LRFD Methods (현행설계법 및 하중저항계수설계법에 의한 완전 조립식 교량 하부구조의 설계결과 비교)

  • Kim, Tae-Hoon;Kim, Young-Jin;Shin, Hyun-Mock
    • Journal of the Earthquake Engineering Society of Korea
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    • v.15 no.2
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    • pp.11-22
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    • 2011
  • The design comparison and nonlinear analysis of totally prefabricated bridge substructure systems are performed. The prefabricated bridge substructures are designed by the methods of present design and load and resistance factor design (LRFD). For the design, the current Korea Highway Bridge Code (KHBD), with DB-24 and DL-24 live loads, is used. This study evaluates the present design method of KHBD (2005) and AASHTO-LRFD (2007) for totally prefabricated bridge substructure systems. A computer program, named RCAHEST (Reinforced Concrete Analysis in Higher Evaluation System Technology), for the analysis of reinforced concrete structures, was used.

A Neuro-contouring controller for High-precision CNC Machine Tools (고정밀 CNC 머신을 위한 신경망 윤과제어)

  • 이현철;주정홍;전기준
    • Journal of the Korean Institute of Intelligent Systems
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    • v.7 no.5
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    • pp.1-7
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    • 1997
  • In this paper, a neuro-contouring control scheme for the high precision machining of CNC machine tools is descrihed. The proposed control system consists of a conventional controller for each axis and an additional neuro-controller. For contouring control, the contour error must be computed during realtime motion, but generally the contour error for nonlinear contours is difficult to he directly computed. We, therefore, propose a new contour error model to approximate real error more exactly, and here we also introduce a cost function for better contouring performance and derive a learning law to adjust the weights of the neuro-controller. The derived learning law guarantees good contouring performance. Usefulness of the proposed control scheme is demonstrated hy computer simulations.

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Optical Nonlinearity in Laser Heated Si (온도변화에 따른 Si의 비선형 광학적 성질)

  • 이상훈;이범구
    • Korean Journal of Optics and Photonics
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    • v.1 no.2
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    • pp.135-141
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    • 1990
  • Optical nonlinearity of laser heated Si with thickness of 160$\mu$m is investigated by pump-probe method. Si is heated by pdsed Nd:YAG laser of $TEM_{00}$-mode with pulse duration of 180$\mu$sec. Temperature change is monitored by observing transmittance change of probe light whose wavelength lies near band gap of Si. It is found that temperature rise is linearly proportional to incident laser intensity and the maximum temperat~re increment is measured to be $16^{\circ}C$ for the maximum incident intensity of 25KW/$\textrm{cm}^2$. From these results, the third order nonlinear susceptibility .d3) at the wavelength of 1.06$\mu$mis estimated to be $6.6\times10^{-5}$esu due to laser heating.

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Complexity reduced partial transmit sequence for PAPR reduction and performance analysis with nonlinear high power amplifier in MC-CDMA (MC-CDMA에서 PAPR 감소를 위한 복잡도가 감소된 부분전송열 기법과 비선형 고출력 증폭기에 의한 성능 분석)

  • 강군석;김수영;오덕길;김재명
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.5A
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    • pp.305-315
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    • 2003
  • MC-CDMA(Multicarrier code division multiple access), which is based on a combination of OFDM(orthogonal frequency division multiplexing) and CDMA(code division multiple access), has gained a lot of interests in wireless multimedia communications, as high speed data transmission is required for mobile services. MC-CDMA has many advantages for broadband high speed data transmission in multipath environment because it can offer both advantages of the CDMA and the OFDM. However, A high PAPR(peak to average power ratio) problem, which is a major drawback of OFDM, is also shown in the MC-CDMA. In this paper, we propose a new phase factor optimization scheme to reduce complexity in PTS(partial transmit sequence) to reduce PAPR. We also analyze the performance of the MC-CDMA with various PTS schemes to investigate the relations between PAPR characteristics and effect of nonlinear distortion of a high power amplifier. Our simulation results reveal that the proposed PTS scheme reduces PAPR about 0.2∼0.5 dB even with 25% reduced- complexity compared to the conventional scheme.

A Design and Implementation of the Power Amplifier using Linearizer for PCS (선형화 기법을 이용한 PCS용 전력증폭기의 설계 및 구현)

  • 하성재;이민희;민준기;이용덕;김복기;홍의석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.10C
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    • pp.1027-1031
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    • 2002
  • In this paper, the non linear characteristics of HPA (High Power Amplifier) is improved by using predistorter. Predistorter consists of 0 degree and 90 degree couplers, complementary amplifier, shottky diodes, and attenuators. Gain of the Linearized HPA is 54㏈ at 1960㎒ - 1980㎒. IMD (Inter Modulation Distortion) characteristic shows -58㏈c at 39㏈m/tone ⓐ1.23㎒. The IMD performance of this predistorter is improved by 14㏈.

A Methodology for Improving fitness of the Latent Growth Modeling using Association Rule Mining (연관규칙을 이용한 잠재성장모형의 개선방법론)

  • Cho, Yeong Bin;Jun, Jae-Hoon;Choi, Byungwoo
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.217-225
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    • 2019
  • The Latent Growth Modeling(LGM) is known as the typical analysis method of longitudinal data and it could be classified into unconditional model and conditional model. It is common to assume that the growth trajectory of unconditional model of LGM is linear. In the case of quasi-linear, the methodology for improving the model fitness using Sequential Pattern of Association Rule Mining is suggested. To do this, we divide longitudinal data into quintiles and extract periodic changes of the longitudinal data in each quintiles and make sequential pattern based on this periodic changes. To evaluate the effectiveness, the LGM module in SPSS AMOS was used and the dataset of the Youth Panel from 2001 to 2006 of Korea Employment Information Service. Our methodology was able to increase the fitness of the model compared to the simple linear growth trajectory.