• 제목/요약/키워드: error cycle

검색결과 460건 처리시간 0.032초

반주기 표본화를 이용한 디지탈 위상동기회로의 성능개선에 관한 연구 (A Study on the Performance Improvement of Digital Phase-Locked Loop Using a Half Period Sampling)

  • 최영준;강철호
    • 한국통신학회논문지
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    • 제12권5호
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    • pp.478-491
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    • 1987
  • 본 논문에서는 정현파 입력 신호의 위상을 PGZC(Positive Going Zero Crossing)에 대해 주기당 한번씩 추적하는 디지털 위상동기회로(DPLL)의 성능 개선을 위해 반주기마다 표본화를 행함으로써 위상오차를 감소시킬 수 있는 DPLL을 제시하였다. 제안된 DPLL은 두개의 샘플러에 의해 정현파 입력 신호의 위상을 PGZG에 대해 주기당 2회씩 추적함으로써 기존의 DPLL보다 동기대역의 손실없이 정상상태 위상오차 변동의 범위를 전체적으로 1/2 정도 감소시킬 수 있었다. 또한, 연속 표본간의 오차간격과 양자화 레벨이 동일할 경우에 있어서 반주기 표본화를 이용하는 DPLL이 기존의 DPLL보다 빠른 동기를 이루게 됨을 알 수 있었다. 이 제시된 루우프에 대한 해석 결과를 실제적으로 요구되는 조건들에 대하여 컴퓨터 시뮬레이션 행함으로써 검증하였다.

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액상실리콘 재료의 균일한 혼합비율을 위한 이송방식에 대한 비교 분석 (A Comparison Analysis of the Feeding Method for the Uniform Mixing Rate of the Liquid Silicone Materials)

  • 추성민;김영민;이금원
    • 한국정보전자통신기술학회논문지
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    • 제12권4호
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    • pp.380-386
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    • 2019
  • 본 논문은 이송방식에 따른 혼합비율을 비교하기 위하여 동일 점도를 가지는 원재료를 사용하여 100 사이클 동안 주재료와 부재료의 투입량 오차를 측정하고 분석하였다. 측정 결과 피스톤 펌프 방식에서는 주재료와 부재료의 투입량 오차는 0g에서 3g까지 변화의 폭이 컸으며, 최대 오차비율은 10.3%로 큰 편차를 보였다. 듀얼-스크류 회전방식에서는 0.01g에서 0.4g으로 최대 오차 비율이 0.41%로 투입량 오차가 거의 발생하지 않았으며, 공정 사이클이 증가함에도 거의 균등하게 투입됨을 알 수 있었다. 듀얼-스크류 회전방식 이액형 혼합시스템을 이용하여 원재료의 점도가 다른 3종류의 액상 실리콘을 사용하여 100 사이클 동안의 주재료와 부재료의 투입량을 측정하고 분석하였다. 그 결과 적용한 원재료의 점도에 관계없이 평균 오차가 0.75g, 오차 비율은 1% 미만으로 측정되었으며, 동일 점도를 갖는 원재료를 사용했을 때 피스톤 펌프 방식의 평균 오차 비율은 4.09 %로 측정되었다. 이 결과는 듀얼-스크류 회전방식을 적용한 실험에서 일정한 혼합비율로 주재료와 부재료가 투입됨을 알 수 있었다.

Prediction of stress intensity factor range for API 5L grade X65 steel by using GPR and MPMR

  • Murthy, A. Ramachandra;Vishnuvardhan, S.;Saravanan, M.;Gandhi, P.
    • Structural Engineering and Mechanics
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    • 제81권5호
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    • pp.565-574
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    • 2022
  • The infrastructures such as offshore, bridges, power plant, oil and gas piping and aircraft operate in a harsh environment during their service life. Structural integrity of engineering components used in these industries is paramount for the reliability and economics of operation. Two regression models based on the concept of Gaussian process regression (GPR) and Minimax probability machine regression (MPMR) were developed to predict stress intensity factor range (𝚫K). Both GPR and MPMR are in the frame work of probability distribution. Models were developed by using the fatigue crack growth data in MATLAB by appropriately modifying the tools. Fatigue crack growth experiments were carried out on Eccentrically-loaded Single Edge notch Tension (ESE(T)) specimens made of API 5L X65 Grade steel in inert and corrosive environments (2.0% and 3.5% NaCl). The experiments were carried out under constant amplitude cyclic loading with a stress ratio of 0.1 and 5.0 Hz frequency (inert environment), 0.5 Hz frequency (corrosive environment). Crack growth rate (da/dN) and stress intensity factor range (𝚫K) values were evaluated at incremental values of loading cycle and crack length. About 70 to 75% of the data has been used for training and the remaining for validation of the models. It is observed that the predicted SIF range is in good agreement with the corresponding experimental observations. Further, the performance of the models was assessed with several statistical parameters, namely, Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Coefficient of Efficiency (E), Root Mean Square Error to Observation's Standard Deviation Ratio (RSR), Normalized Mean Bias Error (NMBE), Performance Index (ρ) and Variance Account Factor (VAF).

Slope stability prediction using ANFIS models optimized with metaheuristic science

  • Gu, Yu-tian;Xu, Yong-xuan;Moayedi, Hossein;Zhao, Jian-wei;Le, Binh Nguyen
    • Geomechanics and Engineering
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    • 제31권4호
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    • pp.339-352
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    • 2022
  • Studying slope stability is an important branch of civil engineering. In this way, engineers have employed machine learning models, due to their high efficiency in complex calculations. This paper examines the robustness of various novel optimization schemes, namely equilibrium optimizer (EO), Harris hawks optimization (HHO), water cycle algorithm (WCA), biogeography-based optimization (BBO), dragonfly algorithm (DA), grey wolf optimization (GWO), and teaching learning-based optimization (TLBO) for enhancing the performance of adaptive neuro-fuzzy inference system (ANFIS) in slope stability prediction. The hybrid models estimate the factor of safety (FS) of a cohesive soil-footing system. The role of these algorithms lies in finding the optimal parameters of the membership function in the fuzzy system. By examining the convergence proceeding of the proposed hybrids, the best population sizes are selected, and the corresponding results are compared to the typical ANFIS. Accuracy assessments via root mean square error, mean absolute error, mean absolute percentage error, and Pearson correlation coefficient showed that all models can reliably understand and reproduce the FS behavior. Moreover, applying the WCA, EO, GWO, and TLBO resulted in reducing both learning and prediction error of the ANFIS. Also, an efficiency comparison demonstrated the WCA-ANFIS as the most accurate hybrid, while the GWO-ANFIS was the fastest promising model. Overall, the findings of this research professed the suitability of improved intelligent models for practical slope stability evaluations.

셀룰러 오토마타 기반 도시침수 및 물순환 해석 모형 CAW의 개발 및 적용 (Development and application of cellular automata-based urban inundation and water cycle model CAW)

  • 이송희;최현진;우현아;김민영;이은형;김상현;노성진
    • 한국수자원학회논문집
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    • 제57권3호
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    • pp.165-179
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    • 2024
  • 도시 지역의 홍수 위험을 완화하고 지속 가능한 수자원을 관리하기 위해서는 도시 홍수와 물순환의 연계 해석이 필수적이다. 본 연구는 간단한 전환 규칙을 통해 침수의 시공간적 변화를 모의하는 셀룰러 오토마타 기법을 이용하여 고해상도 도시침수 및 물순환 해석 모형 CAW (Cellular Automata-based integrated Water cycle model)를 개발하고, 그 적용성을 평가하였다. 개발된 모형을 미국 포틀랜드 도심지 유역에 적용하고, 물리 기반 모형 및 기존 셀룰러 오토마타 기반 모형의 침수 해석 결과와 비교하여 도시침수 재현의 적절성을 평가하였다. 연구 결과, 침수 검증 대상 지점에 대한 CAW 모형의 최대 침수심 분포는 확산파 방정식을 모사하는 WCA2D (Weighted Cellular Automata 2 Dimension) 모형과 평균오차 값이 1.3 cm로 유사하게 모의되었고, 이진 패턴 유사도 검증에서 HR 0.91, FAR 0.02, CSI 0.90으로 비교적 높은 유사성을 나타내며 모형의 침수 해석 적용성을 검증하였다. 또한, 토지피복 및 토양 조건이 침수, 침투에 미치는 영향을 시험 평가한 결과, 불투수율이 41% 더 높은 지역에서의 침투와 최대 침수심이 각각 54%(4.16 mm/m2) 감소 및 10%(2.19 mm/m2) 증가하였다. CAW 모형을 이용하여 도시 유역의 다양한 토지피복 및 토양 특성을 고려한 고해상도 물순환 및 도시침수 연계 모의 해석이 가능할 것으로 기대된다.

Emotion Graph Models for Bipedal Walk Cycle Animation

  • Rahman, Ayub bin Abdul;Aziz, Normaziah Abdul;Hamzah, Syarqawi
    • International Journal of Advanced Culture Technology
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    • 제4권1호
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    • pp.19-27
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    • 2016
  • Technology in the animation industry has evolved significantly over the past decade. The tools to create animation are becoming more intuitive to use. Animators now spend more time on the artistic quality of their work than wasting time figuring out how to use the software that they rely on. However, one particular tool that is still unintuitive for animators is the motion graph editor. A motion graph editor is a tool to manipulate the interpolation of the movements generated by the software. Although the motion graph editor contains a lot of options to control the outcome of the animation, the emotional rhythm of the movements desired by the animator still depends on the animator's skill, which requires a very steep learning curve. More often than not, animators had to resort to trial and error methods to achieve good results. This inevitably leads to slow productivity, susceptible to mistakes, and waste of resources. This research will study the connection between the motion graph profile and the emotions they portray in movements. The findings will hopefully be able to provide animators reference materials to achieve the emotional animation they need with less effort.

Delta 고속 병렬로봇의 동역학 모델링 및 제어 (Dynamics Modeling and Control of a Delta High-speed Parallel Robot)

  • 김한성
    • 한국기계가공학회지
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    • 제13권5호
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    • pp.90-97
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    • 2014
  • This paper presents a simplified dynamics model, dynamics simulations, and computed torque control experiments of the Delta high-speed parallel robot. Using the typical Newton-Euler method, a simplified but accurate dynamics model with practical assumptions is derived. Accuracy and fast calculations of the dynamics are essential in the computed torque control for high-speed applications. It was found that the simplified dynamics equation is in very god agreement with the ADAMS model, and the calculation time of the inverse kinematics and inverse dynamics is about 0.04 msec. From the dynamics simulations, the cycle trajectory along the y-axis requires less peak motor torque and a lower angular velocity and less power than that along the x-axis. The computed torque control scheme can reduce the position error by half as compared to a PD control scheme. Finally, the developed Delta parallel robot prototype, half the size of the ABB Flexpicker robot, can achieve a cycle time of 0.43 sec with a 1.0kg payload.

모바일 3D 그래픽 프로세서의 지오메트리 연산을 위한 부동 소수점 연산기 구현 (A design of Floating Point Arithmetic Unit for Geometry Operation of Mobile 3D Graphic Processor)

  • 이지명;이찬호
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2005년도 추계종합학술대회
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    • pp.711-714
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    • 2005
  • We propose floating point arithmetic units for geometry operation of mobile 3D graphic processor. The proposed arithmetic units conform to the single precision format of IEEE standard 754-1985 that is a standard of floating point arithmetic. The rounding algorithm applies the nearest toward zero form. The proposed adder/subtraction unit and multiplier have one clock cycle latency, and the inversion unit has three clock cycle latency. We estimate the required numbers of arithmetic operation for Viewing transformation. The first stage of geometry operation is composed with translation, rotation and scaling operation. The translation operation requires three addition and the rotation operation needs three addition and six multiplication. The scaling operation requires three multiplication. The viewing transformation is performed in 15 clock cycles. If the adder and the multiplier have their own in/out ports, the viewing transformation can be done in 9 clock cycles. The error margin of proposed arithmetic units is smaller than $10^{-5}$ that is the request in the OpenGL standard. The proposed arithmetic units carry out operations in 100MHz clock frequency.

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인공신경 회로망을 이용한 압력용기 중성자 조사취화 평가 (Neutron Flux Evaluation on the Reactor Pressure Vessel by Using Neural Network)

  • 유춘성;박종호
    • Journal of Radiation Protection and Research
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    • 제32권4호
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    • pp.168-177
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    • 2007
  • 본 논문에서는 노심설계 단계에서 선정된 다양한 노심 장전모형 중에서 압력용기 중성자 조사취화 관점에서 가장 최적의 노심 장전모형을 선정할 수 있도록 신속하게 압력용기 취약위치에 대한 속중성자속을 예측할 수 있는 방법을 제시하였다. 인공신경회로망 기법을 통해 노심 반경방향 및 축방향 출력분포만을 이용하여 압력용기내벽 취약위치에서의 중성자 스펙트럼을 신속하게 평가할 수 있도록 중성자속 가중치를 생산하였고 데이터베이스를 구축하였다. 이 방법은 중성자 수송코드를 이용한 수송계산을 직접 수행하지 않고도 신속하게 압력용기 위치에서의 중성자 조사환경을 평가할 수 있으며 소송코드 결과와 비교하여 상대오차 3.4%이내의 정확도를 보였다.

자율 주행 트랙터 시스템의 성능 향상을 위한 CAN 기반의 조향제어시스템 개발 (Development of Steering Control System based on CAN for Autonomous Tractor System)

  • 서동현;서일환;정선옥;김기대
    • 농업과학연구
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    • 제37권1호
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    • pp.123-130
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    • 2010
  • A steering control system based on CAN(Controller Area Network) for autonomous tractor was developed to reduce duty of a central processing computer and to improve performance of steering control in terms of reduced control interval and error. The steering control system consisted of a SCU (Steering Control Unit), an EHPS system, and a potentiometer. The SCU consisted of an MCU (Micro Controller unit), an A/D converter, and a DC-DC converter, and a PID controller was used to control steering angle. The steering control system was communicated with the computer by CAN-bus. Each actuator and implement was connected to a multi-function board interfacing with the computer through a USB cable. Without CAN, control interval of the autonomous tractor was 1.5 seconds. When the CAN-based steering control system was combined with the autonomous tractor, however, control interval of the integrated system was reduced to those less than 0.05 seconds. When the autonomous tractor was operated with 1.5-s and 0.05-s control cycles at a 0.63-m/s travelling speed, the trajectories were close to straight lines for both of the control cycles. For a 1.34-m/s traveling speed, tractor trajectory was close to sine wave with a 1.5-s control cycle, but was straight line with a 0.05-s control cycle.