• Title/Summary/Keyword: P-tuning

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Analysis of the Phase Locked Microwave Oscillator Characteristics on the P-HEMT Gate-Bias Tuning (P-HEMT Gate-바이어스 튜닝에 의한 위상동기 마이크로파 발진기 특성분석)

  • 정인기;민상보;이영철
    • Proceedings of the IEEK Conference
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    • 2000.11a
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    • pp.369-372
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    • 2000
  • 본 논문에서는 P-HEMT Gate-바이어스 튜닝에 의한 위상동기 마이크로파 발진기를 설계하였다. 설계된 유전체 발진기는 병렬궤환공진 형태로서 P-HEMT의 게이트단에서 전압을 제어하여 전압제어발진기 형태로 주파수를 가변시키므로서 안정된 위상동기신호를 나타나도록 하였다. 위상동기방식은 외부에서 제공되는 125㎒의 기준주파수를 SRD로 체배시켜 하모닉 신호를 이용한 마이크로파 샘플링 위상검파 방식으로 설계하였으며, 유전체 발진기의 자유발진신호와 샘플링 신호사이의 위상비교에 의하여 ±1㎒ 범위의 고안정 특성을 갖는 13.25㎓대역의 위상고정 발진기의 동기화와 저 위상잡음을 나타내었다.

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Output Voltage Regulation for Harmonic Compensation under Islanded Mode of Microgrid

  • Lim, Kyungbae;Choi, Jaeho
    • Journal of Power Electronics
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    • v.17 no.2
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    • pp.464-475
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    • 2017
  • This study examines a P+multi resonant-based voltage control for voltage harmonics compensation under the islanded mode of a microgrid. In islanded mode, the inverter is defined as a voltage source to supply the full local load demand without the connection to the grid. On the other hand, the output voltage waveform is distorted by the negative and zero sequence components and current harmonics due to the unbalanced and nonlinear loads. In this paper, the P+multi resonant controller is used to compensate for the voltage harmonics. The gain tuning method is assessed by the tendency analysis of the controller as the variation of gain. In addition, this study analyzes the slight voltage magnitude drop due to the practical form of the P+multi resonant and proposes a counter method to solve this problem by adding the PI-based voltage restoration method. The proposed P+multi resonant controller to compensate for the voltage harmonics is verified through the PSIM simulation and experimental results.

Factors Determining Adoption of Fintech Peer-to-Peer Lending Platform: An Empirical Study in Indonesia

  • SUNARDI, Rudy;HAMIDAH, Hamidah;BUCHDADI, Agung Dharmawan;PURWANA, Dedi
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.1
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    • pp.43-51
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    • 2022
  • Platform lending or online lending, sometimes called peer-to-peer (P2P) lending, arose due to the digital revolution to meet people's requirements for simple fund borrowing. It quickly became an alternative to other traditional lending techniques, for example, loans banks. Along with the growth of P2P lending, several academics have investigated how information technology is used in financial services, emphasizing extended application methods. This study proposes an enhanced technology acceptance model (TAM) that investigates how consumers embrace P2P lending platforms by using quality of service and perceived risk as drivers of trust, relative advantage and compatibility as drivers of perceived usefulness. For the purpose of this study, we created a questionnaire, distributed it to clients of P2P lending platforms and fintech services in general in cities in Java, Indonesia. We received 290 replies to our questionnaire. The data was analyzed to test the hypotheses using structural equation modeling (SEM). The findings show that consumers' trust, relative advantage, perceived usefulness, and perceived ease of use in P2P lending platforms substantially affect their views toward adoption. The research's findings are useful for fine-tuning platform marketing strategies and putting strategic goals into action.

A Study on the Auto Tuning of Hybrid Type Fuzzy PID Controller (복합성 퍼지-PID 제어기의 자동동조에 관한 연구)

  • 이상석;김중기;배진호
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.10 no.1
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    • pp.40-45
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    • 1996
  • 본 연구는 공정제어를 위한 복합형 퍼지-PID 제어기의 개발에 관한 것이다. 제안된 복합형 퍼지-PID제어기는 퍼지 규칙을 기반으로 한 이득 결정부분({{{{ { K}_{p } { K}_{d } }}}})과 고정이득({{{{ { K}_{i } }}}})을 합친 제어기이다. 모의 실험 결과 제안된 제어기는 고정된 파라메터를 갖는 전통 PID 제어기에 비해 더욱 양호한 제어성능을 나타내었다.

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Auto-Tuning PID Control with Self-feedback Neurons (자기 궤환 뉴런을 가진 자동 동조 PID 제어)

  • Jung, Kyung-Kwon;Kim, Kyung-Soo;Gim, Ine;Eom, Ki-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 1999.05a
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    • pp.348-354
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    • 1999
  • In recent years, a PID controller has been used as a major control method in real control processes. This controller requires a determination of PID control gains. But it is difficult to select the best gains theoretically. Thus there have been many approaches to determine them empirically Most of them are based on experience and knowledge. In this paper, we proposed a tuning method of the PID Parameters by using neural network. To show effectiveness of the proposed method, the simulation of DC motor and one link manipulator position control is carried out.

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The Response Improvement of PD Type FLC System by Self Tuning (자기동조에 의한 PD 형 퍼지제어시스템의 응답 개선)

  • Choi, Hansoo;Lee, Kyoung-Woong
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.12
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    • pp.1101-1105
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    • 2012
  • This study proposes a method for improvement of PD type fuzzy controller. The method includes self tuner using gradient algorithm that is one of the optimization algorithms. The proposed controller improves simple Takagi-Sugeno type FLC (Fuzzy Logic Control) system. The simple Takagi-Sugeno type FLC system changes nonlinear characteristic to linear parameters of consequent membership function. The simple FLC system could control the system by calibrating parameter of consequent membership function that changes the system response. While the determination on parameter of the simple FLC system works well only partially, the proposed method is needed to determine parameters that work for overall response. The simple FLC system doesn't predict the response characteristics. While the simple FLC system works just like proportional part of PID, our system includes derivative part to predict the next response. The proposed controller is constructed with P part and D part FLC system that characteristic parameter on system response is changed by self tuner for effective response. Since the proposed controller doesn't include integral part, it can't eliminate steady state error. So we include a gain to eliminate the steady state error.

Novel Wavelet-Fuzzy Based Indirect Field Oriented Control of Induction Motor Drives

  • Febin Daya, J.L.;Subbiah, V.;Atif, Iqbal;Sanjeevikumar, Padmanaban
    • Journal of Power Electronics
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    • v.13 no.4
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    • pp.656-668
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    • 2013
  • This paper presents a wavelet-fuzzy based controller for indirect field oriented control of three-phase induction motor drives. The discrete wavelet transform is used to decompose the error between the actual speed and the command speed of the induction motor drive into different frequency components. The transformed error coefficients along with the scaling gains are used for generating the control component of the motor. Self-tuning fuzzy logic is used for online tuning of the scaling gains of the controller. The proposed controller has the ability to meet the speed tracking requirements in the closed loop system. The complete indirect field oriented control scheme incorporating the proposed wavelet-fuzzy based controller is investigated theoretically and simulated under various dynamic operating conditions. The simulation results are compared with a conventional proportional integral controller and a fuzzy based controller. The speed control scheme incorporating the proposed controller is implemented in real time using a digital processor control board. Simulation and experimental results validate the effectiveness of the proposed controller.

Effect of Sports Taping on Impact Forces and Muscle Tuning during Drop Landing (드롭 착지 시 스포츠 테이핑이 하지의 충격력과 근육 조율에 미치는 영향)

  • Kang, Nyeon-Ju;Chae, Woen-Sik
    • Korean Journal of Applied Biomechanics
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    • v.20 no.2
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    • pp.175-182
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    • 2010
  • The purpose of this study was to evaluate the biomechanical effect of sports taping on the lower limb during drop landing. Twelve male university students who have no musculoskeletal disorder were recruited as the subjects. Principal strain, median frequency, vertical GRF, loading rate, angular velocity and resultant joint moment were determined for each trial. For each dependent variable, paired t-test was performed to test if significant difference existed between taped and untaped conditions(p<.05). The results showed that principal strain of the thigh and the shank in taping group were significantly less than those found in control group. These indicated that sports taping may prevent excessive mechanical strain caused by impact force during the deceleration phase. Flexion(-)-extension(+) and varus(-)-valgus(+) resultant joint moment of the knee joint in taping group were greater than corresponding value for control group. It seems that extensor muscle of the knee joint were not only supported by sports taping during knee flexion but also sports taping is effective for minimizing the possibility of injury.

A Computer-Aided Diagnosis of Brain Tumors Using a Fine-Tuned YOLO-based Model with Transfer Learning

  • Montalbo, Francis Jesmar P.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.12
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    • pp.4816-4834
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    • 2020
  • This paper proposes transfer learning and fine-tuning techniques for a deep learning model to detect three distinct brain tumors from Magnetic Resonance Imaging (MRI) scans. In this work, the recent YOLOv4 model trained using a collection of 3064 T1-weighted Contrast-Enhanced (CE)-MRI scans that were pre-processed and labeled for the task. This work trained with the partial 29-layer YOLOv4-Tiny and fine-tuned to work optimally and run efficiently in most platforms with reliable performance. With the help of transfer learning, the model had initial leverage to train faster with pre-trained weights from the COCO dataset, generating a robust set of features required for brain tumor detection. The results yielded the highest mean average precision of 93.14%, a 90.34% precision, 88.58% recall, and 89.45% F1-Score outperforming other previous versions of the YOLO detection models and other studies that used bounding box detections for the same task like Faster R-CNN. As concluded, the YOLOv4-Tiny can work efficiently to detect brain tumors automatically at a rapid phase with the help of proper fine-tuning and transfer learning. This work contributes mainly to assist medical experts in the diagnostic process of brain tumors.

Model-Free Longitudinal Acceleration Controller Design and Implementation Quickly and Easily Applicable for Different Control Interfaces of Automated Vehicles Considering Unknown Disturbances (자율 주행 제어 인터페이스에 강건하며 빠르고 쉽게 적용 가능한 모델 독립식 종 방향 가속도 제어기 개발 및 성능 검증)

  • Seo, Dabin;Jo, Ara;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.4
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    • pp.39-52
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    • 2021
  • This paper presents a longitudinal acceleration controller that can be applied to real vehicles (nonlinear and time-varing systems) with only a simple experiment regardless of the type of vehicle and the control interface structure. The controller consists of a feedforward term for fast response, a zero-throttle acceleration compensation term, and a feedback term (P gain) to compensate for errors in the feedforward term, and another feedback term (I gain) to respond to disturbances such as slope. In order to easily apply it to real vehicles, there are only two tuning parameters, feedforward terms of throttle and brake control. And the remaining parameters can be calculated immediately when the two parameters are decided. The tuning procedure is also unified so that it can be quickly and easily applied to various vehicles. The performance of the controller was evaluated using MATLAB/Simulink and Truksim's European Ben model. In addition, the controller was successfully implemented to 3 medium-sized vehicle (HMC Solati), which is composed of different control interface characteristic. Vehicle driving performance was evaluated on the test track and on the urban roads in Siheung and Seoul.