• Geomechanics and Engineering
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• 제30권3호
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• pp.273-280
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• 2022

A certain amount of random vibration excitation to subway track is caused by subway operation. This excitation is transmitted through track foundation, tunnel, soil medium, and ground building to the ground and ground structure, causing vibration. The vibration affects ground building. In this study, the results of ANSYS numerical simulation was used to establish back-propagation (BP) neural network model. Moreover, a back-propagation neural network model consisting of five input neurons, one hidden layer, 11 hidden-layer neurons, and three output neurons was used to analyze and calculate the vertical Z-vibration level of New Capital's ground buildings of Qingdao Metro phase I Project (Line M3). The Z-vibration level under different working conditions was calculated from monolithic roadbed, steel-spring floating slab roadbed, and rubber-pad floating slab roadbed under the working condition of center point of 0-100 m. The steel-spring floating slab roadbed was used in the New Capital area to monitor the subway operation vibration in this area. Comparing the monitoring and prediction results, it was found that the prediction results have a good linear relationship with lower error. The research results have good reference and guiding significance for predicting vibration caused by subway operation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3875-3891
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• 2021

In this study, a Velostat pressure sensor was manufactured to develop a plantar pressure measurement system and a C#-based application was developed to monitor and collect plantar pressure data in real time. In order to evaluate the characteristics of the proposed plantar pressure measurement system, the accuracy of plantar pressure index and personal classification was verified by comparing with MatScan, a commercial plantar pressure measurement system. As a result, the output characteristics according to the weight of the Velostat pressure sensor were evaluated and a trend line with the reliability of r² = 0.98 was detected. The Root Mean Square Error(RMSE) of the weighted area was 11.315 cm², the RMSE of the x coordinate of Center of Pressure(CoP_x) was 1.036 cm and the RMSE of the y coordinate of Center of Pressure(CoP_y) was 0.936 cm. Finally, inaccuracy of personal classification, the proposed system was 99.47% and MatScan was 96.86%. Based on the advantage of being simple to implement and capable of manufacturing at low cost, it is considered that it can be applied to various fields of measuring vital signs such as sitting posture and breathing in addition to the plantar pressure measurement system.

• Communications for Statistical Applications and Methods
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• 제30권4호
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• pp.369-388
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• 2023

In this paper, we develop the two-step procedure that detects and estimates the position of structural changes for multivariate nonstationary time series, either on mean parameters or second-order structures. We first investigate the presence of mean structural change by monitoring data through the aggregated cumulative sum (CUSUM) type statistic, a sequential procedure identifying the likely position of the change point on its trend. If no mean change point is detected, the proposed method proceeds to scan the second-order structural change by modeling the multivariate nonstationary time series with a multivariate locally stationary Wavelet process, allowing the time-localized auto-correlation and cross-dependence. Under this framework, the estimated dynamic spectral matrices derived from the local wavelet periodogram capture the time-evolving scale-specific auto- and cross-dependence features of data. We then monitor the change point from the lower-dimensional approximated space of the spectral matrices over time by applying the dynamic principal component analysis. Different from existing methods requiring prior information on the type of changes between mean and covariance structures as an input for the implementation, the proposed algorithm provides the output indicating the type of change and the estimated location of its occurrence. The performance of the proposed method is demonstrated in simulations and the analysis of two real finance datasets.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2022년도 춘계학술대회
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• pp.88-90
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• 2022

해양 디지털 항로표지 정보 협력 시스템 과제에서 개발되는 소프트웨어의 품질 관리를 위해 국제 표준 기반 표준 품질 프로세스와 프로젝트 관리 시스템 기반 의사소통 및 정보공유 체계를 구축했다. 또한 연구과제 산출물 작성 현황에 대한 모니터링과 소프트웨어 품질 점검 및 검증 지원을 통해 고품질 소프트웨어 개발을 달성한다.

• 대한전자공학회논문지SD
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• 제49권2호
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• pp.1-8
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• 2012

본 논문은 자동차용 타이어 공기압 모니터링 시스템(TPMS)의 핵심 부품인 가속도센서에 관한 연구이다. 일반적으로 압저항형 가속도센서는 정전용량형 가속도센서에 비하여 제조 비용이 적고 출력 특성이 선형적이며 주변 잡음에 면역성이 강한 장점을 갖는다. 그래서 TPMS용으로 압저항형을 선택하였고, ANSYS 프로그램을 이용하여 3가지 타입의 구조를 설계하여 공진주파수 특성을 비교하여 가장 안정적인 구조인 질량체 가장자리의 가운데에 있는 4개의 빔에 의하여 지지되는 브릿지 타입의 실리콘압저항형 가속도센서를 선택하였다. 그리고 센서 크기를 고려하여 빔의 길이는 $200{\mu}m$로 정하였으며, 빔 길이에 따른 최대응력과 최대변위를 시뮬레이션하여 센서를 설계하였다. TPMS용 4 빔 실리콘 미세 압저항형 가속도센서의 크기는 $3.0mm{\times}3.0mm{\times}0.4mm$의 크기로 제작 되었다. 휠 각도에 따른 출력 특성과 온도 특성을 측정하여 센서의 특성을 분석 하였다. 그 결과 가속도센서의 옵셋 전압은 43.2 mV 이고 감도는 $42.5{\mu}V/V/g$ 이다. 센서의 특징으로 내충격성은 1500 g 이고, 측정 범위는 0 ~ 60 g, 사용온도는 $-40^{\circ}C{\sim}125^{\circ}C$ 를 갖는다.

• 한국전기전자재료학회논문지
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• 제30권9호
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• pp.535-540
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• 2017

The changes in the electrical characteristics of CMOS ICs due to coupling with a narrow-band electromagnetic wave were analyzed in this study. A magnetron (3 kW, 2.45 GHz) was used as the narrow-band electromagnetic source. The DUT was a CMOS logic IC and the gate output was in the ON state. The malfunction of the ICs was confirmed by monitoring the variation of the gate output voltage. It was observed that malfunction (self-reset) and destruction of the ICs occurred as the electric field increased. To confirm the variation of electrical characteristics of the ICs due to the narrow-band electromagnetic wave, the pin-to-pin resistances (Vcc-GND, Vcc-Input1, Input1-GND) and input capacitance of the ICs were measured. The pin-to-pin resistances and input capacitance of the ICs before exposure to the narrow-band electromagnetic waves were $8.57M{\Omega}$ (Vcc-GND), $14.14M{\Omega}$ (Vcc-Input1), $18.24M{\Omega}$ (Input1-GND), and 5 pF (input capacitance). The ICs exposed to narrow-band electromagnetic waves showed mostly similar values, but some error values were observed, such as $2.5{\Omega}$, $50M{\Omega}$, or 71 pF. This is attributed to the breakdown of the pn junction when latch-up in CMOS occurred. In order to confirm surface damage of the ICs, the epoxy molding compound was removed and then studied with an optical microscope. In general, there was severe deterioration in the PCB trace. It is considered that the current density of the trace increased due to the electromagnetic wave, resulting in the deterioration of the trace. The results of this study can be applied as basic data for the analysis of the effect of narrow-band high-power electromagnetic waves on ICs.

• KEPCO Journal on Electric Power and Energy
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• 제2권4호
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• pp.577-582
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• 2016

최근 급속한 녹색환경 정책으로 LED를 이용한 조명 광원들이 설치 운용하고 있으나, 이들 광원의 전원 공급은 안정된 직류 전원 공급을 위해서 스위칭 모드 전원 공급(SMPS) 장치로 전원을 공급하고 있다. 그러나, 이들 전원 공급 장치는 공급 단가 때문에 설계 및 설치과정에서 스위칭에 따른 전력과 변환역률, 전기적 노이즈 및 돌입전류들은 간과하고 있다. 따라서, 본 연구에서는 SMPS는 고품질의 전원을 LED 조명 부하에 공급하기 위하여 스위칭 시에 다음과 같은 3가지 관점에서 회로를 연구하였다. 첫 번째, 역률과 효율을 약 85% 확보하고, 두 번째, 노이즈(고조파 포함) 최소화, 세 번째는 스위치-온 시 3A 돌입전류를 $100{\mu}sec$ 후 최소 0.3 A로 감소하여 돌입 전류 침입을 최소화 하고자 하였다. 본 연구에서는 IC형 구동기(LNK 409)를 적용하여 입력전압과 출력상황을 귀환 형태로 감시하도록 하였으며, 정전류 출력을 위하여 정전압을 유지할 수 있는 제어회로와 시상수를 개발하였다. 그러나, 부하 변동 시 미세한 전류의 불규칙으로 인한 발열 문제는 해결하지 못하고 있다. 이를 증명하고자 LED 조명 부하 46 W급을 대상으로 효과를 검증하였다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2012년도 제42회 동계 정기 학술대회 초록집
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• pp.239-240
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• 2012

With advancements in semiconductor device technologies, manufacturing processes are getting more complex and it became more difficult to maintain tighter process control. As the number of processing step increased for fabricating complex chip structure, potential fault inducing factors are prevail and their allowable margins are continuously reduced. Therefore, one of the key to success in semiconductor manufacturing is highly accurate and fast fault detection and classification at each stage to reduce any undesired variation and identify the cause of the fault. Sensors in the equipment are used to monitor the state of the process. The idea is that whenever there is a fault in the process, it appears as some variation in the output from any of the sensors monitoring the process. These sensors may refer to information about pressure, RF power or gas flow and etc. in the equipment. By relating the data from these sensors to the process condition, any abnormality in the process can be identified, but it still holds some degree of certainty. Our hypothesis in this research is to capture the features of equipment condition data from healthy process library. We can use the health data as a reference for upcoming processes and this is made possible by mathematically modeling of the acquired data. In this work we demonstrate the use of recurrent neural network (RNN) has been used. RNN is a dynamic neural network that makes the output as a function of previous inputs. In our case we have etch equipment tool set data, consisting of 22 parameters and 9 runs. This data was first synchronized using the Dynamic Time Warping (DTW) algorithm. The synchronized data from the sensors in the form of time series is then provided to RNN which trains and restructures itself according to the input and then predicts a value, one step ahead in time, which depends on the past values of data. Eight runs of process data were used to train the network, while in order to check the performance of the network, one run was used as a test input. Next, a mean squared error based probability generating function was used to assign probability of fault in each parameter by comparing the predicted and actual values of the data. In the future we will make use of the Bayesian Networks to classify the detected faults. Bayesian Networks use directed acyclic graphs that relate different parameters through their conditional dependencies in order to find inference among them. The relationships between parameters from the data will be used to generate the structure of Bayesian Network and then posterior probability of different faults will be calculated using inference algorithms.

• 대한약리학회지
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• 제31권2호
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• pp.251-259
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• 1995

Pharmacokinetics and pharmacodynamics of metoprolol, a selective beta-l blocker, were examined for 360 minutes after intravenous bolus administration of metoprolol to 6 dogs. Plasma concentration and excreted amount in the urine metoprolol were measured by liquid chromatography with fluorescence detection. PR interval and heart rate were measured by ECG monitoring. Blood pressure was monitored through intraarterial catheter in femoral artery and cardiac output by thermodilution method using Swan-Ganz catheter. To analyze the effect site concentration-response relationship, plasma concentration and pharmacological effects were simultaneously fitted to a two pharmacokinetic compartment linked to pharmacodynamic model with NONLIN program. Results are as follows. 1) The plasma concentration of metoprolol after intrvenous injection decreased biexponentially. The terminal half-life estimated was $1.33{\pm}0.40$ hours and the volume of distribution at steady state (Vdss) and the total body clearance were $1.04{\pm}0.4\;L/kg,\;6.55{\pm}2.21\;L/hr$, respectively. The central compartment volume of distribution and peripheral compartment volume of distribution were $0.35{\pm}0.14L/kg\;and\;0.69{\pm}0.34L/kg$. The renal clearance and intercompartment clearance were $0.53{\pm}0.25\;L/min\;and\;0.35{\pm}0.19\;L/min$. 2) Simulated biophase concentration-response curve shows hyperbolic relationship and the estimated concentration-effect relationship was best explained by Emax model when the prolongation of PR interval and the reduction of the heart rate were used as pharmacodynamic parameters. Emax and EC50 were estimated to be $26.3{\pm}4.7\;msec\;and\;88.8{\pm}82.3\;g/ml$ for PR interval, and $48.7{\pm}18.8\;beats/min\;and\;113.5{\pm}78.7\;ng/ml$ for heart rate, respectively. 3) The changes of cardiac output-effect site concentration relationship was best fitted by a linear model and the slope of the relationship was $0.005{\pm}0.003$. Diastolic blood pressure-effect site concentration relationship was also explained by the linear model and the slope of the relationship was $0.038{\pm}0.034$.

• 한국음향학회지
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• 제42권5호
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• pp.469-490
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• 2023

식약처에서 허가된 33개 체외 충격파 쇄석기 중 기술 문서가 공개된 10개(12개의 충격파 음장)에 대해 치료 효과 및 안전을 좌우하는 충격파의 음향 출력 분포를 조사했다. 조사 결과 핵심 충격파 음향 출력(P+, P-, efd, E)의 최대값은 제품별로(각각 최대 2.08배, 3.72배, 3.89배, 15.98배) 크게 차이가 나고 있다. 음향 출력 변수들의 값은 기술 문서에 충실하게 포함되지 않고 있으며, 일부 데이터는(예. efd) 통상적인 범위를 벗어나는 비정상적인 값을 가지는 것으로 나타났다. 제품 별로 큰 차이를 보이는 충격파 음향 출력은 동일한 적응증으로 허가 받은 ESWL 장비의 동등성을 훼손할 가능성이 높다는 것을 시사한다. 허가된 Extracorporeal Shock Wave Lithotripsy(ESWL) 제품의 기술 문서에 기재된 자료의 신뢰성을 검증하고, 임상에서 사용되는 제품의 성능이 기술 문서와 동일한지 확인하기 위해 공인된 시험 검사 기관의 확보가 필요하며, 노화로 인해 충격파 출력이 저하되는 ESWL 제품의 성능 유지 및 관리를 위한 규제 기관 주도의 사후 관리가 제안된다.