• Title/Summary/Keyword: impulse-response

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Detection of Abnormal Leakage and Its Location by Filtering of Sonic Signals at Petrochemical Plant (비정상 음향신호 필터링을 통한 플랜트 가스누출 위치 탐지기법)

  • Yoon, Young-Sam;Kim, Cheol
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.36 no.6
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    • pp.655-662
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    • 2012
  • Gas leakage in an oil refinery causes damage to the environment and unsafe conditions. Therefore, it is necessary to develop a technique that is able to detect the location of the leakage and to filter abnormal gas-leakage signals from normal background noise. In this study, the adaptation filter of the finite impulse response (FIR) least mean squares (LMS) algorithm and a cross-correlation function were used to develop a leakage-predicting program based on LABVIEW. Nitrogen gas at a high pressure of 120 kg/$cm^2$ and the assembled equipment were used to perform experiments in a reverberant chamber. Analysis of the data from the experiments performed with various hole sizes, pressures, distances, and frequencies indicated that the background noise occurred primarily at less than 1 kHz and that the leakage signal appeared in a high-frequency region of around 16 kHz. Measurement of the noise sources in an actual oil refinery revealed that the noise frequencies of pumps and compressors, which are two typical background noise sources in a petrochemical plant, were 2 kHz and 4.5 kHz, respectively. The fact that these two signals were separated clearly made it possible to distinguish leakage signals from background noises and, in addition, to detect the location of the leakage.

Research on the modified algorithm for improving accuracy of Random Forest classifier which identifies automatically arrhythmia (부정맥 증상을 자동으로 판별하는 Random Forest 분류기의 정확도 향상을 위한 수정 알고리즘에 대한 연구)

  • Lee, Hyun-Ju;Shin, Dong-Kyoo;Park, Hee-Won;Kim, Soo-Han;Shin, Dong-Il
    • The KIPS Transactions:PartB
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    • v.18B no.6
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    • pp.341-348
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    • 2011
  • ECG(Electrocardiogram), a field of Bio-signal, is generally experimented with classification algorithms most of which are SVM(Support Vector Machine), MLP(Multilayer Perceptron). But this study modified the Random Forest Algorithm along the basis of signal characteristics and comparatively analyzed the accuracies of modified algorithm with those of SVM and MLP to prove the ability of modified algorithm. The R-R interval extracted from ECG is used in this study and the results of established researches which experimented co-equal data are also comparatively analyzed. As a result, modified RF Classifier showed better consequences than SVM classifier, MLP classifier and other researches' results in accuracy category. The Band-pass filter is used to extract R-R interval in pre-processing stage. However, the Wavelet transform, median filter, and finite impulse response filter in addition to Band-pass filter are often used in experiment of ECG. After this study, selection of the filters efficiently deleting the baseline wandering in pre-processing stage and study of the methods correctly extracting the R-R interval are needed.

A Neural Network for Long-Term Forecast of Regional Precipitation (지역별 중장기 강수량 예측을 위한 신경망 기법)

  • Kim, Ho-Joon;Paek, Hee-Jeong;Kwon, Won-Tae
    • Journal of the Korean Association of Geographic Information Studies
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    • v.2 no.2
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    • pp.69-78
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    • 1999
  • In this paper, a neural network approach to forecast Korean regional precipitation is presented. We first analyze the characteristics of the conventional models for time series prediction, and then propose a new model and its learning method for the precipitation forecast. The proposed model is a layered network in which the outputs of a layer are buffered within a given period time and then fed fully connected to the upper layer. This study adopted the dual connections between two layers for the model. The network behavior and learning algorithm for the model are also described. The dual connection structure plays the role of the bias of the ordinary Multi-Layer Perceptron(MLP), and reflects the relationships among the features effectively. From these advantageous features, the model provides the learning efficiency in comparison with the FIR network, which is the most popular model for time series prediction. We have applied the model to the monthly and seasonal forecast of precipitation. The precipitation data and SST(Sea Surface Temperature) data for several decades are used as the learning pattern for the neural network predictor. The experimental results have shown the validity of the proposed model.

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Hydrodynamics and Liquid Flow Characteristics in an Internal Circulation Airlift Reactor using a Single Nozzle (단일노즐을 사용한 내부순환 공기리프트 반응기에서 수력학과 액체의 흐름특성)

  • Kim, Jong-Chul;Jang, Sea-Il;Son, Min-Il;Kim, Tae-Ok
    • Applied Chemistry for Engineering
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    • v.8 no.5
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    • pp.816-821
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    • 1997
  • The hydrodynamics and the liquid flow characteristics were investigated in an internal circulation airlift reactor with a single nozzle as a gas distributor. In an air-water system, the gas holdup in the individual flow zone and the impulse-response curve of tracer were measured at various gas velocities and reactor heights. Experimental results showed that for the higher gas velocity(>about 8 cm/s), the flow behavior of bubbles in the riser was turbulent flow due to strong bubble coalescences and the axial height of dispersion zone of large bubbles having uniform sizes in the downcomer was decreased with increasing gas velocity. And mean gas holdups in the individual flow zone and the reactor were increased with increasing gas velocities and were decreased with increasing heights of the top section of the reactor and it was decreased with increasing the height of the top section and gas velocity. Flow characteristics of liquid in the riser and the downcomer was tend to access to plug flow and the overall flow behavior of liquid was mainly varied with the size of the top section which it was assumed to be perfect mixing zone. In these conditions, liquid circulation velocities were increased with increasing gas velocities and they were higher than those by using other gas distributors.

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A Study on Effective Relations between China's Cancellation of the Export Rebate of VAT tax and Chinese Steel Export to Korea. (중국의 수출 증치세 환급 취소가 중국산 철강재의 대한국 수출에 미치는 영향)

  • Lee, Seoung Taek
    • International Commerce and Information Review
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    • v.19 no.3
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    • pp.83-105
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    • 2017
  • I tried to analyze export relation of influence in Chinese H beam(common steel), Hot Rolled Steel(common steel), Plate(common steel) which could be influenced immediately by China's cancellation of the export rebate of value added tax in 2010 through the statistic methods such as cointegration, Granger causality, impulse response and variance decomposition. In the first period they mutually influenced each other in export to Korea but in the second period, this relation of influence was lessoned. Due to production expansion of Hot Rolled Steel(common steel), Plate(common steel) in Korea, the change of import trend, the market change of steel users' industries and China's expedient export of boron steel to Korea, mutual influence among these products was greatly declined. Ever since Hyundai Steel's production expansion involving blast furnace facilities, there is need for the industry to concentrate on developing new markets for its facilities' output in Korea. Therefore, Korea's steel industry desperately needs strength of de-jure standards such as unique quality standards and related certifications, efficient distribution management, as well as export promotion strategy through its global trading network to effectively address its structural supply-demand imbalances.

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Seismic Techniques for the Integrated Assessment of Structural Integrity of Concrete Runway (콘크리트 활주로 건전도상태의 종합평가를 위한 비파괴 탄성파기법)

  • Joh Sung-Ho;Kang Tae-Ho;Cho Mi-Ra;Suh Young-Chan;Kwon Soo-Ahn
    • Journal of the Korean Geotechnical Society
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    • v.21 no.4
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    • pp.51-63
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    • 2005
  • Concrete pavement may suffer from material deterioration or structural problems, which lead to surface cracks and deflection of a concrete pavement. Degraded concrete pavement, when it is still under operation, should be recovered by an urgent maintenance to avoid the discontinued service leading to the significant traffic problems and economic loss. Seismic techniques are good tools to assess the structural integrity of concrete runway. It is because seismic techniques can evaluate engineering properties nondestructively and quickly and the evaluation can be extended to subgrade. In this study, a series of numerical simulations of stress-wave propagation were performed to verify feasibility of seismic techniques as an assessment tool. Based on the results of the numerical simulation, a framework of using seismic techniques was presented fur the nondestructive integrated assessment fur structural integrity of concrete runway. And the presented framework was applied to $\bigcirc\bigcirc$ concrete runway with surface cracks, which required urgent maintenance, to identify the causes of the surface cracks. The results obtained from the structural integrity assessment were compared with the measurements of the cores collected from the same runway for verification of the presented framework.

Comparison of Antinociceptive Effect of Korean and American Bee Venoms on Pain in Rodent Models (설치동물에서 통증에 대한 한국산 및 미국산 봉독의 진통효과의 비교)

  • Kim, Jong-Min;Han, Tae-Sung;Kang, Seong-Soo;Kim, Gon-Hyung;Choi, Seok-Hwa
    • Journal of Veterinary Clinics
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    • v.27 no.6
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    • pp.663-667
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    • 2010
  • Experiments were undertaken to assess the antinociceptive effect of bee venom (BV) in rodent animal models. Comparison of antinociceptive efficacy between Korean BV and commercially available American BV was the primary interest of the study. Korean BV was collected using BV collector devices in which an electrical impulse is used to stimulate the worker bee (Apis mellfera L.) to sting and release venom. After collection, whole BV was evaporated until dry using the BV collector. Commercially available dried American BV was purchased from Sigma Company in USA. Korean and American sourced BVs were diluted and amounts of 6 mg/kg body weight (BW), 0.6 mg/kg BW and 0.06 mg/kg BW were tested. BV was subcutaneously injected to produce an antinociceptive effect and the antinociceptive efficacy was evaluated using a writhing test in mice and a formalin test in rats. The antinociceptive effects of the two BVs tested were similar in mice for visceral pain and showed a dose-dependent response. The antinociceptive effect of Korean BV was not significantly different compare to American BV. These results suggest that Korean BV may be used to achieve an antinociceptive effect for use in medical therapies.

Application of DC Resistivity Survey from Upper Portion of Concrete and Geostatistical Integrated Analysis (콘크리트 상부에서 전기비저항 탐사 적용 및 지구통계학적 복합 해석)

  • Lee, Heuisoon;Oh, Seokhoon;Chung, Hojoon;Noh, Myounggun;Ji, Yoonsoo;Ahn, Taegyu;Song, Sung-Ho;Yong, Hwan-Ho
    • Journal of the Korean earth science society
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    • v.35 no.1
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    • pp.29-40
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    • 2014
  • A DC resistivity survey was performed to detect anomalies beneath concrete pavement. A set of high conductive media and planar electrodes were used to lessen the effect's a high contact resistance of concrete. Results of the resistivity survey were analyzed and compared with those of other geophysical surveys such as Ground Penetration Radar (GPR), Impulse Response (IR), and Multi-channel Analysis of Surface Waves (MASW), which were carried out in the same location. The results of resistivity survey showed a high resistive distribution in the section of sink and pavement where a pattern of reinforcement was observed through the GPR survey. Also, a comparison of results between the IR and resistivity surveys indicated that the high resistivity was produced by the high dynamic stiffness in the reinforced section. The co-Kriging of both the results of DC resistivity and MASW surveys at the same location showed that an integrated geostatistical analysis is able to give more accurate description on the anomalous subsurface region than can a separate analysis of each geophysical approach. This study suggests that the integrated geostatistical approaches were used for a decision-making process based on the geophysical surveys.

Channel and Data Analysis System for Digital TV Broadcasting Using Modified Hilbert Transform (변형된 힐버트 변환을 이용한 디지털 TV 방송 채널 및 데이터 분석 시스템)

  • Suh, Young-Woo;Lee, Jae-Kwon;Mok, Ha-Kyun;Choi, Jin-Yong;Seo, Jong-Soo
    • Journal of Broadcast Engineering
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    • v.14 no.4
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    • pp.438-449
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    • 2009
  • To analyze reception environments of ATSC Digital TV, CIR (Channel Impulse Response) analysis systems are widely applied. The receiving performances of conventional CIR analysis systems are not as good as those of commercial state-of-the-art receivers. There are difficulties in measuring and analyzing reception problems caused by multi-path interferences. To solve these problems, commercial DTV chip sets embedded CIR analysis system is proposed. Generally, commercial chip sets provide baseband (In-phase) channel data and field or segment sync data. For more precise analysis of measured I channel data, it is necessary to extract Q (quadrature) channel data components as well. This paper presents the technical requirements of CIR analysis system for DTV. In order to satisfy such requirements and measure more accurate magnitude and phase of CIR, a method to derive the quadrature data from the measured in-phase channel data is proposed. The proposed channel analysis system is implemented with a commercial DTV chip set and expedites the data analysis for use on DTV field test vehicles. Computer simulation and laboratory test results are provided to demonstrate the performance of the proposed channel analysis system.

A Study on the Effect of Delinquency Rate of Real Estate PF on Macroeconomic Variables (거시경제변수에 따른 부동산PF 연체율에 관한 연구)

  • Roh, Chi-Young;Kim, Hyung-Joo
    • The Journal of the Korea Contents Association
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    • v.18 no.4
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    • pp.416-427
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    • 2018
  • As the loan size of real estate PF is huge, its market ripple effect gets bigger when overdue occurs. Accordingly, the management of the delinquency rate and macroeconomic analysis are required. As the preceding research mainly proceeded with microeconomic analysis through the real estate PF data of individual banks to evaluate importance of list or analyzed core factors for delinquency, it lacked research on comprehensive real estate PF size. In order to overcome the limitations of such data, this research studied real estate PF delinquency rate of the entire market and effect relationship by the size. The research utilized the size of real estate PF loans, money supply, interest rate, consumer price index(CPI), and GDP data. Also, it applied the first model of VECM as linear relationship between at least two or more variables, following the result of co-integration test. As a result of Granger-causality test, the real estate PF loans delinquency rate is influenced by their loan size, and as a result of impulse response analysis, the interest rate is shown to be affecting delinquency rate the most. Interest rate could risesomeday and aggravate the delinquency rate of real estate PF. Also, risk exposure could be serious as the loan size increases.Therefore, the management of real estate PF delinquency rate requires continuous monitoring, tracking and observing issued loans from a macro point of view. The plans to prevent delinquency will be necessary.