• 제목/요약/키워드: auto-input method

검색결과 148건 처리시간 0.024초

An AutoML-driven Antenna Performance Prediction Model in the Autonomous Driving Radar Manufacturing Process

  • So-Hyang Bak;Kwanghoon Pio Kim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권12호
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    • pp.3330-3344
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    • 2023
  • This paper proposes an antenna performance prediction model in the autonomous driving radar manufacturing process. Our research work is based upon a challenge dataset, Driving Radar Manufacturing Process Dataset, and a typical AutoML machine learning workflow engine, Pycaret open-source Python library. Note that the dataset contains the total 70 data-items, out of which 54 used as input features and 16 used as output features, and the dataset is properly built into resolving the multi-output regression problem. During the data regression analysis and preprocessing phase, we identified several input features having similar correlations and so detached some of those input features, which may become a serious cause of the multicollinearity problem that affect the overall model performance. In the training phase, we train each of output-feature regression models by using the AutoML approach. Next, we selected the top 5 models showing the higher performances in the AutoML result reports and applied the ensemble method so as for the selected models' performances to be improved. In performing the experimental performance evaluation of the regression prediction model, we particularly used two metrics, MAE and RMSE, and the results of which were 0.6928 and 1.2065, respectively. Additionally, we carried out a series of experiments to verify the proposed model's performance by comparing with other existing models' performances. In conclusion, we enhance accuracy for safer autonomous vehicles, reduces manufacturing costs through AutoML-Pycaret and machine learning ensembled model, and prevents the production of faulty radar systems, conserving resources. Ultimately, the proposed model holds significant promise not only for antenna performance but also for improving manufacturing quality and advancing radar systems in autonomous vehicles.

반도체 스위칭 소자의 트리거 특성을 이용한 배터리 자동 충전회로에 관한 연구 (A study on the auto-charging circuit of the battery power units using trigger characteristics of semiconductor device)

  • 김영민;황종선;박성진;임종연;송승호
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2001년도 하계학술대회 논문집
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    • pp.519-522
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    • 2001
  • Recently, the battery charging technology and reducing technology of harmonics on AC input line are rising importantly according to increasing electrical facilities that it has been replaced battery with emergency power. In this study, I proposed that an auto-charging circuit of battery has low cost with simple-construction circuit, relative, harmonics reduction with diode tap-change method, high reliability of system for using characteristics of thyristor switching. In case of this circuit, convenience and reliability of maintenance of battery power units were more improved. 1 think that it is resulted in effect of prevention to shortening of battery life from over-charging and over-discharging and decrease of harmonics obstacle on AC input line.

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하이브리드 퍼지제어기의 설계를 위한 최적 자동동조알고리즘 (Optimal Auto-tuning Algorithm for Design of a Hybrid Fuzzy Controller)

  • 김중영;이대근;오성권;김현기
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.501-503
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    • 1999
  • In this paper, the design method of a hybrid fuzzy controller with an optimal auto-tuning method is proposed. The conventional PID controller becomes so sensitive to the control environments and the change of parameters that the efficiency of its utility for the complex and nonlinear plant has been questioned in transient state. In this paper, first, a hybrid fuzzy logic controller(HFLC) is proposed. The control input of the system in the HFLC is a convex combination by a fuzzy variable of the FLC's output in transient state and the PID's output in steady state. Second, a powerful auto-tuning algorithm is presented to automatically improve the Performance of controller, utilizing the improved complex method and the genetic algorithm. The algorithm estimates automatically the optimal values of scaling factors and PID coefficients. Controllers are applied to the plants with time-delay and the DC servo motor Computer simulations are conducted at the step input and the system performances are evaluated in the ITAE.

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로봇 시스템에 대한 PID 궤적추종 제어기의 자동 성능동조 (Automatic Performance Tuning of PID Trajectory Tracking Controller for Robotic Systems)

  • 최영진
    • 제어로봇시스템학회논문지
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    • 제10권6호
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    • pp.510-518
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    • 2004
  • The PID trajectory tracking controller for robotic systems shows performance limitation imposed by inverse dynamics according to desired trajectory. Since the equilibrium point can not be defined for the control system involving performance limitation, we define newly the quasi-equilibrium region as an alternative for equilibrium point. This analysis result of performance limitation can guide us the auto-tuning method for PID controller. Also, the quasi-equilibrium region is used as the target performance of auto-tuning PID trajectory tracking controller. The auto-tuning law is derived from the direct adaptive control scheme, based on the extended disturbance input-to-state stability and the characteristics of performance limitation. Finally, experimental results show that the target performance can be achieved by the proposed automatic tuning method.

입력 조건에 따른 지능센서의 대상물 인식능력 분석( I ) (Analysis of the Recognition Ability of Objects for the Smart Sensor According to the Input Condition Changing ( I ))

  • 황성연;홍동표;채희창
    • 한국정밀공학회지
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    • 제19권1호
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    • pp.48-55
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    • 2002
  • This paper deals with the sensing ability of the smart sensor that has the sensing ability to distinguish materials according to the input condition changing. This is a study of dynamic characteristics of sensor. We have developed a new signal processing method that can distinguish among different materials. The smart sensor was developed for recognition of materials. Experiments and analysis were executed to estimate ability to recognize objects according to the input condition. First, we developed the advanced smart sensor. Second, we developed the new method, which has the capability sensing of different materials. Dynamic characteristics of the smart sensor were evaluated relatively through a new $R_{SAI}$ method. According to frequency changing, influence of the smart sensor are evaluated through a new recognition index ($R_{SAI}$) that ratio of sensing ability index. Applications of this method are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safely diagnosis of structure, etc.

소각로의 NOx 제어용 SCR 시스템의 암모니아 공급량제어 (Ammonia flow control for NOx reduction in SCR system of refuse incineration plant)

  • 김인규;여태경;김환성;김상봉
    • 대한기계학회논문집A
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    • 제22권2호
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    • pp.451-457
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    • 1998
  • This paper describes a modelling method for SCR(selective catalystic reduction) system in refuse incineration plant. We consider the SCR system as a single input and single output system. For modelling the SCR system, an auto regressive exogeneous(ARX) modelling method is used. In this case, we should design the white noise input for modelling and put it on the system as an input$(NH_3)$, and take an outlet NOx as an output. From these two relations, we design the ARX model with 45 second delay time and transform to a discrete system with sampling time of 0.5 second. Using the obtained SCR model, we verify that the outlet NOx is deeply related with stoker`s moving in boiler of refuse incineration plant.

한계계단 응답특성을 이용한 영구자석형 동기전동기 속도제어 (Speed Control of Permanent Magnet Synchronous Motor using Limited Step Response Characteristics)

  • 전인효;최중경;박승엽
    • 한국정보통신학회논문지
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    • 제2권3호
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    • pp.295-302
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    • 1998
  • 본 논문에서는 한계계단 응답특성을 이용하여 영구자석헝 동기전동기의 속도 제어계에 대한 새로운 자동동조 PI(Proportional Integral) 제어기를 설계하였다. 과도응답 기간동안 소위 한계입력이라고 하는 계단입력을 인가하여 Pㅑ 제어기의 자동동조를 위한 정보를 얻기 위한 기법을 제안한다. 시스템 파라메터 추정과 동시에 속도제어가 온라인으로 이루어지는데, 이것은 시스템의 불확실성에도 불구하고 한계입력에 의해서 얻어진 시스템 파라메터 정보가 연속적으로 PI 제어기에 적용될 수 있다는 것이다. 제안된 자동동조 알고리즘은 단조증가 계단응답 특성을 갖는 영구 자석형 동기전동기의 속도제어에 대한 시뮬레이션과 실험결과를 통하여 그 유효함을 확인하였다.

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TFT-LCD 자동 수선시스템에서 결함이 있는 셀을 자동으로 추출하는 방법 (Defect Cell Extraction for TFT-LCD Auto-Repair System)

  • 조재수;하광성;이진욱;김동현;전재웅
    • 제어로봇시스템학회논문지
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    • 제14권5호
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    • pp.432-437
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    • 2008
  • This paper proposes a defect cell extraction algorithm for TFT-LCD auto-repair system. Auto defect search algorithm and automatic defect cell extraction method are very important for TFT-LCD auto repair system. In the previous literature[1], we proposed an automatic visual inspection algorithm of TFT-LCD. Based on the inspected information(defect size and defect axis, if defect exists) by the automatic search algorithm, defect cells should be extracted from the input image for the auto repair system. For automatic extraction of defect cells, we used a novel block matching algorithm and a simple filtering process in order to find a given reference point in the LCD cell. The proposed defect cell extraction algorithm can be used in all kinds of TFT-LCD devices by changing a stored template which includes a given reference point. Various experimental results show the effectiveness of the proposed method.

충돌시험시 가속도 센서의 접착방법이 감도 변화에 미치는 영향 (Effect of Sensitivity Variation for Mounting Methods of Accelerometer in Crash Test)

  • 장원호;김기오;범현균;권성은
    • 한국자동차공학회논문집
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    • 제16권6호
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    • pp.115-120
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    • 2008
  • There are many typesof accelerometer sensor. There was mainly used high-g accelerometer to obtain data for vehicle in crash test. Accelerometer was mounted on test vehicle with mounting blocks. Test result can be influenced by condition of mounting i.e. bonding material and type of block. These influences can be evaluated to variation of sensitivity in calibration test. In this paper, Calibration test were carried out for 3 types of bonding material i.e. stud, beewax and double side tape. Other factor was taken into consideration by 3-types for mounting block. All test was conducted by sinusoidal signal vibrator up to 4500Hz. In order to investigate influence for sensitivity from different input voltage in the calibrator, the same test was repeated. Test results were compared with standard accelerometer data. Relative sensitivities and phases were showed small difference in sensitivity for bonding materials with one block, but significant one for another block and different input voltage below 1000Hz.

자동변속기 변속품질 향상을 위한 클러치 자동보정 알고리즘 개발 (Development of Clutch Auto Calibration Algorithm for Automatic Transmission Shift Quality Improvement)

  • 정규홍
    • 드라이브 ㆍ 컨트롤
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    • 제17권3호
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    • pp.47-56
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    • 2020
  • As a shift control of automatic transmission was managed with the electronic control unit (ECU), shift quality which is a measure of shift shock during gear change has markedly improved. However, the initial clutch pressure control of the clutch filling phase should continue to rely on the predetermined control input since the input and output speeds are unchanged until the shifting process attains the inertia phase. It is critical to minimize the clutch response time and control the clutch pressure accurately at the end of clutch fill to achieve quick shift response and smoothness. Advanced transmission companies have adopted an auto calibration method which establishes the databases for the clutch piston fill-up attributes and the frictional characteristics of the disks. In this study, a distinctive auto calibration algorithm for forklift transmission under development is proposed and verified with the real-vehicle test. The experimental calibration results showed consistent turbine dynamics at the initial stage of shifts with the properly calibrated clutch-fill control parameters. By using this technique, it is necessary to finalize the shift control for the various operation conditions.