• Title/Summary/Keyword: model reduction technique

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Analysis of PM10 Reduction Effects with Artificial Rain Enhancement Using Numerical Models (수치모델을 이용한 인공증우에 따른 PM10 저감효과 분석)

  • Lim, Yun-Kyu;Kim, Bu-Yo;Chang, Ki-Ho;Cha, Joo Wan;Lee, Yong Hee
    • Atmosphere
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    • v.32 no.4
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    • pp.341-351
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    • 2022
  • Recently, interest in the possibility of a washout effect using artificial rain enhancement technology to reduce high-concentration fine dust is growing. Therefore, in this study, the reduction rate of PM10 concentration according to the amount of artificial rain enhancement was calculated during Asian Dust event which occurred over the Korean Peninsula on March 29, 2021 using air quality model [i.e., Community Multiscale Air Quality (CMAQ)] combined with the mesoscale model for artificial rain enhancement (i.e., WRF-MMS). According to WRF-MMS, the washout effect lasted 5 hours, and the maximum precipitation rate was calculated to be 1.5 mm hr-1. According the CMAQ results, the PM10 reduction rate was up to 22%, and the affected area was calculated to be 6.4 times greater than that of the artificial rain enhancement area. Even if the maximum amount of precipitation per hour is lowered to 0.8 mm hr-1 (about 50% level), the PM10 reduction rate appears to be up to 16%. In other words, it is believed that this technique can be used as a direct method for reducing high-concentration fine dust even when the artificial rain enhancement effect is weak.

Foundation Modeling Considering the Soil-Structure Interaction (지반-구조물 상호작용을 고려한 기초모델링)

  • Lee, Yong-Jei;Kim, Tae-Jin;Maria, Feng
    • Journal of the Earthquake Engineering Society of Korea
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    • v.16 no.3
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    • pp.13-22
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    • 2012
  • Even with its significant influence on the dynamic analysis and foundation design of structures, sometimes the soil-structure interaction has been ignored during the design process. One of the reasons is due to the fact that the modeling procedures are too complicated to meet the requirements in practice. In this study, using the Cali(IT)2 building in California with high and frequent seismic activities, the analysis differences for different boundary conditions are reviewed. The Beam on Nonlinear Winkler Foundation Model, one of the foundation modeling methods, is modified for easy use by the Linear Matrix Inequalities Model Reduction Technique. The product of the proposed process is applied to create the Finite Element Model. The results show fairly good agreement with the real data acquired from the Cal(IT)2 building.

Application of process monitoring with reduced order model and EKF to distillation column (차수 감소 모델과 EKF를 이용한 공정 모니터링의 응용)

  • 김태민;양대륙
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1766-1769
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    • 1997
  • Fast and accurate distillation design requires a model that significantly reduces the problem size withour loss of accruacy is especially suitable for rela-time applicatoins. the reduced order model is obtained by use of Principal Component Anlysis(PCA). Then the extended Kalman filter and the Recursie Predictiuon Error(RPE) mehtod are appliced to identify the model parameters and the feed compostion form the measuremenets of the coumn. as a consequence it is found that the model reduction thechique can account for the dynamics of the rigorous distillation model and not only the model parameters, bu also the feed compostion can be identified efficiently. this technique is applied to industrial operation data verify the performance of reduced order model.

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Query-Efficient Black-Box Adversarial Attack Methods on Face Recognition Model (얼굴 인식 모델에 대한 질의 효율적인 블랙박스 적대적 공격 방법)

  • Seo, Seong-gwan;Son, Baehoon;Yun, Joobeom
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.6
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    • pp.1081-1090
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    • 2022
  • The face recognition model is used for identity recognition of smartphones, providing convenience to many users. As a result, the security review of the DNN model is becoming important, with adversarial attacks present as a well-known vulnerability of the DNN model. Adversarial attacks have evolved to decision-based attack techniques that use only the recognition results of deep learning models to perform attacks. However, existing decision-based attack technique[14] have a problem that requires a large number of queries when generating adversarial examples. In particular, it takes a large number of queries to approximate the gradient. Therefore, in this paper, we propose a method of generating adversarial examples using orthogonal space sampling and dimensionality reduction sampling to avoid wasting queries that are consumed to approximate the gradient of existing decision-based attack technique[14]. Experiments show that our method can reduce the perturbation size of adversarial examples by about 2.4 compared to existing attack technique[14] and increase the attack success rate by 14% compared to existing attack technique[14]. Experimental results demonstrate that the adversarial example generation method proposed in this paper has superior attack performance.

ESTIMATION TECHNIQUE Of AIR CONTENT IN TUTOMATIC TRANSMISSION FLUID BY MEASURING EFFECTIVE BULK MODULUS

  • Cho, Baek-Hyun;Lee, Hyoun-Woo;Oh, Jong-Sun
    • International Journal of Automotive Technology
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    • v.3 no.2
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    • pp.57-62
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    • 2002
  • It is well known that the entrained air in oil causes appreciable reduction in the stiffness of hydraulic systems. It makes the response delay of the systems and sometimes destroys the stability. Because the hydraulic systems of automatic transmissions are operated in relatively low pressure and high temperature, it is very important to analyze the effects of the air included in automatic transmission fluid. However, it is difficult to derive the generalized model to describe the effective bulk modulus theoretically or measure it in actual operating conditions of automatic transmissions. This paper reviews previous studies of the air effects in hydraulic systems and the measurement techniques of the effective bulk modulus in operating conditions. Based on this work, the theoretical model with moderate complexity and the measurement technique of the effective bulk modulus considering entrained air effect at real operating conditions are suggested. Our paper also shows that the quantity of the entrained air in the automatic transmission fluid can be estimated from the experimental results.

A study on the optimized requirement estimation of K-1 tank repair parts (K-1전차 수리부속 최적소요산정에 관한 연구)

  • 김희철;최석철
    • Journal of the military operations research society of Korea
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    • v.26 no.2
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    • pp.39-54
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    • 2000
  • This research is carried out solving problem of reduction in the rate of operation for the k-1 tank in order to increase the availability, caused by the delay in supply of k-1 tank repair parts in field operations. In other words, the study aims to find the most suitable requirement estimate pattern for the main repair parts that are used for k-1 tank. This study intends to present the most suitable requirement estimate pattern for k-1 trank repair pats by comparing the results of repair parts consumption data in relation to their pattern created by the programs of the requirement estimate technique(moving average method) currently used in the Army and adaptive exponential smoothing model. The results of this study numerically proved that the adaptive exponential smoothing model is the most appropriate technique in estimating the requirement for k-1 tank repair parts.

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A Study on the Measurement of Dynamic Stability Derivatives in the Rolling Motion of Aircraft (항공기의 롤운동 동안정미계수 측정에 관한 연구)

  • Cho, Hwan-Kee
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.21 no.4
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    • pp.41-46
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    • 2013
  • This paper deals with an experimental technique for the measurement of dynamic stability derivatives in the roll motion of aircraft. Experimental aquisition method for aircraft's dynamic stability derivatives is conducted on the oscillation condition of aircraft model in the subsonic wind tunnel. The oscillation of aircraft model was forced by the oscillation apparatus. The forced oscillation technique is the method getting data from the internal balance inserted into the aircraft model during oscillating it. Dynamic stability derivatives of rolling motion were calculated by data reduction from the measurements of rolling moment, frequency and amplitude of aircraft model due to forced oscillation under wind conditions. Results of experiment is obtained similar one with those of roll dynamic stability derivatives measured in other institutes.

A Study on Synchronization Control Technique of Dual-Servo Press System (듀얼 서보모터 구동형 프레스 시스템의 동기화 제어기법 연구)

  • Na, Sang-Gun;Kwon, O-Shin;Kang, Jae-Hoon;Heo, Hoon
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.22 no.2
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    • pp.206-215
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    • 2013
  • In this paper, a synchronization control technique of dual-servo motor driven press system is proposed. An independent cascade PID control technique has been applied to the conventional press system for advancement of control stability. However, it is not easy to reduce synchronous error using the independent cascade PID control technique when some different load disturbances are involved in each motor. The eccentric error of the slide caused by the problem degrade the control performance of the BDC(Bottom Dead Center). In order to achieve reduction of the synchronous error between two servo motors and accurate position control simultaneously, a new control scheme comprised with cascade PID control loop and cross-coupling loop is proposed. In simulation using Matlab SIMULINK, the AC servo system is designed. The control performance of proposed technique is compared with conventional control technique to the model of AC servo system. Also, the sub-scale model of dual-servo motor driven press system which can replicate the slide motion is constructed for experimental verification for the performance of the proposed control technique. The cross-coupling control technique reveals more precise and stable performances in the position and synchronization controls.

A comparison study of inverse censoring probability weighting in censored regression (중도절단 회귀모형에서 역절단확률가중 방법 간의 비교연구)

  • Shin, Jungmin;Kim, Hyungwoo;Shin, Seung Jun
    • The Korean Journal of Applied Statistics
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    • v.34 no.6
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    • pp.957-968
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    • 2021
  • Inverse censoring probability weighting (ICPW) is a popular technique in survival data analysis. In applications of the ICPW technique such as the censored regression, it is crucial to accurately estimate the censoring probability. A simulation study is undertaken in this article to see how censoring probability estimate influences model performance in censored regression using the ICPW scheme. We compare three censoring probability estimators, including Kaplan-Meier (KM) estimator, Cox proportional hazard model estimator, and local KM estimator. For the local KM estimator, we propose to reduce the predictor dimension to avoid the curse of dimensionality and consider two popular dimension reduction tools: principal component analysis and sliced inverse regression. Finally, we found that the Cox proportional hazard model estimator shows the best performance as a censoring probability estimator in both mean and median censored regressions.

Circular cylinder drag reduction using piezoelectric actuators

  • Orazi, Matteo;Lasagna, Davide;Iuso, Gaetano
    • Advances in aircraft and spacecraft science
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    • v.1 no.1
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    • pp.27-41
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    • 2014
  • An active flow control technique based on "smart-tabs" is proposed to delay flow separation on a circular cylinder. The actuators are retractable and orientable multilayer piezoelectric tabs which protrude perpendicularly from the model surface. They are mounted along the spanwise direction with constant spacing. The effectiveness of the control was tested in pre-critical and in post-critical regime by evaluating the effects of several control parameters of the tabs like frequency, amplitude, height, angular position and plate incidence with respect to the local flow. Measurements of the mean static pressure distribution around the cylinder were used to estimate the pressure drag coefficient. The maximum drag reduction achieved in the pre-critical regime was of the order of 30%, whereas in the post-critical regime was about 10%, 3% of which due to active forcing. Furthermore, pressure fluctuation measurements were performed and spectral analysis indicated an almost complete suppression of the vortex shedding in active forcing conditions.