• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2000년도 추계정기학술대회:지능형기술과 CRM
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• pp.417-426
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• 2000

This study suggests integrated neural network models for Interest rate forecasting using change-point detection, classifiers, and classification functions based on structural change. The proposed model is composed of three phases with tee-staged learning. The first phase is to detect successive and appropriate structural changes in interest rare dataset. The second phase is to forecast change-point group with classifiers (discriminant analysis, logistic regression, and backpropagation neural networks) and their. combined classification functions. The fecal phase is to forecast the interest rate with backpropagation neural networks. We propose some classification functions to overcome the problems of two-staged learning that cannot measure the performance of the first learning. Subsequently, we compare the structured models with a neural network model alone and, in addition, determine which of classifiers and classification functions can perform better. This article then examines the predictability of the proposed classification functions for interest rate forecasting using structural change.

• Geomechanics and Engineering
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• 제16권2호
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• pp.169-176
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• 2018

An attempt has been made here to study the propagation of SH-type surface waves in an elastic medium, which is initially stressed and heterogeneous and has a point source inside the medium. The upper portion of the composite medium is a sandy layer. It is situated on an initially stressed heterogeneous half-space, whose density, rigidity and internal friction are function of depth. The analysis has been carried out by using Fourier transform and Green's function approach. The phase velocity has been investigated for several particular situations. It has been shown that the results of the study agree with those the case of Love wave propagation in a homogeneous medium in the absence of the sandy layer, when the initial stress is absent. In order to illustrate the validity of the analysis presented here, the derived analytical expression has been computed numerically, by considering an illustrative example and the variances of the concerned physical variables have been presented graphically. It is observed that the velocity of shear wave is amply influenced by the initial stress and heterogeneity parameters and the presence of the sandy layer. The study has an important bearing on investigations of different problems in the earth's interior and also in seismological studies.

• 한국통신학회논문지
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• 제36권7C호
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• pp.451-458
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• 2011

MAXFLAT(maximally flat) FIR필터 설계는 폐쇄형 솔루션을 제공하는 장점이 있으나 설계의 정확성을 위하여 평탄차수를 정확하고 효율적으로 결정하는 문제가 아직 남아 있다. 본 논문에서는 폐쇄형 솔루션에서 주파수영역 오차함수를 모델링하고 분석하므로 써 직접적이고 정확하게 평탄차수를 결정하는 방법을 제안하였다. 마지막으로 주피수영역 오차함수를 바탕으로 제안한 차단주파수와의 최소거리 방식이 기존의 Herrmann 방식에 비해 매우 정확하고 효율적이라는 것을 입증하였다.

• 대한기계학회논문집
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• 제10권3호
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• pp.335-342
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• 1986

본 연구에서는 이러한 가능성을 알아 보기 위하여 오리피스판을 통하여 기액 2상흐름이 있을 때 각 상의 유량변화레 따른 순간압력강하치를 분석하고자 한다. 우선 평균압력강하치를 측정하여 식 (1)과 비교 분석하며, 교란치의 평균진폭과 교란 강도를 구하여 기공율의 변화에 따른 이러한 통계치들의 경향을 고찰한다. 그리고 순간압력강하 곡선에 대한 통계함수들, 확률밀도함수(probability density function) 와 자기상관함수(auto-correlation function)을 구하여 이 들의 통계적 성질을 구명 하고 2상 유동량의 결정에 대한 교란치의 할동도를 토의한다.

• 전기학회논문지
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• 제64권1호
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• pp.128-135
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• 2015

In this study, we develop the very short-term precipitation forecasting model as well as classifier based on polynomial radial basis function neural networks by using AWS(Automatic Weather Station) and KLAPS(Korea Local Analysis and Prediction System) meteorological data. The polynomial-based radial basis function neural networks is designed to realize precipitation forecasting model as well as classifier. The structure of the proposed RBFNNs consists of three modules such as condition, conclusion, and inference phase. The input space of the condition phase is divided by using Fuzzy C-means(FCM) and the local area of the conclusion phase is represented as four types of polynomial functions. The coefficients of connection weights are estimated by weighted least square estimation(WLSE) for modeling as well as least square estimation(LSE) method for classifier. The final output of the inference phase is obtained through fuzzy inference method. The essential parameters of the proposed model and classifier such ad input variable, polynomial order type, the number of rules, and fuzzification coefficient are optimized by means of Particle Swarm Optimization(PSO) and Differential Evolution(DE). The performance of the proposed precipitation forecasting system is evaluated by using KLAPS meteorological data.

• Journal of Astronomy and Space Sciences
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• 제27권2호
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• pp.145-152
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• 2010

In this paper, we developed a local oscillator (LO) system of millimeter wave band receiver for radio astronomy observation. We measured the phase and amplitude drift stability of this LO system. The voltage control oscillator (VCO) of this LO system use the 3 mm band Gunn oscillator. We developed the digital phase locked loop (DPLL) module for the LO PLL function that can be computer-controlled. To verify the performance, we measured the output frequency/power and the phase/amplitude drift stability of the developed module and the commercial PLL module, respectively. We show the good performance of the LO system based on the developed PLL module from the measured data analysis. The test results and discussion will be useful tutorial reference to design the LO system for very long baseline interferometry (VLBI) receiver and single dish radio astronomy receiver at the 3 mm frequency band.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.591-595
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• 1997

In analysis of piping vibration of petrochemical plant, the forcing functions mainly depend upon the equipment working mechanism and vibration resources in the piping systems. In general, harmonic function is used for the system with rotary equipments. Mechanical driving frequencies, wave functions, and response spectrum are used for reciprocating compressors, surge vibration of long transfer piping, and seismic/wind vibration, respectively. In this study, for the spray injection case inside the pipe, forcing function was modeled, in which two different fluids are distributed uniformly. To confirm the results, the scheme used for the forcing function was applied for real piping system. The vibration mode of the real system was consistent with the 4th mode obtained by simulation using the forcing function formulated in this study.

• Nuclear Engineering and Technology
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• 제40권5호
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• pp.397-408
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• 2008

This paper describes the application of a software fault tree analysis (FTA) as one of the analysis techniques for a software safety analysis (SSA) at the design phase and its analysis results for the safety-critical software of a digital reactor protection system, which is called the KNICS RPS, being developed in the KNICS (Korea Nuclear Instrumentation & Control Systems) project. The software modules in the design description were represented by function blocks (FBs), and the software FTA was performed based on the well-defined fault tree templates for the FBs. The SSA, which is part of the verification and validation (V&V) activities, was activated at each phase of the software lifecycle for the KNICS RPS. At the design phase, the software HAZOP (Hazard and Operability) and the software FTA were employed in the SSA in such a way that the software HAZOP was performed first and then the software FTA was applied. The software FTA was applied to some critical modules selected from the software HAZOP analysis.

• 한국운동역학회지
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• 제25권1호
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• pp.29-37
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• 2015

Objective : The purpose of this study was to investigate the biomechanical properties of shock absorption strategy and postural stability during the drop landing for each types. Methods : The motions were captured with Vicon Motion Capture System, with the fourteen infra-red cameras (100Hz) and synchronized with GRF(ground reaction force) data(1000Hz). Ten male soccer players performed a drop landing with single-leg and bi-legs on the 30cm height box. Dependent variables were the CoM trajectory and the Joint Moment. Statistical computations were performed using the paired t-test and ANOVA with Turkey HSD as post-hoc. Results : The dominant leg was confirmed to show a significant difference between the left leg and right leg as the inverted pendulum model during Drop Landing(Phase 1 & Phase 2). One-leg drop landing type had the higher CoM displacement, the peak of joint moment with the shock absorption than Bi-leg landing type. As a lower extremity joint kinetics analysis, the knee joint showed a function of shock absorption in the anterior-posterior, and the hip joint showed a function of the stability and shock absorption in the medial-lateral directions. Conclusion : These findings indicate that the instant equilibrium of posture balance(phase 1) was assessed by the passive phase as Class 1 leverage on the effect of the stability of shock absorption(phase 2) assessed by the active phase on the effect of Class 2 leverage. Application : This study shows that the cause of musculo-skeletal injuries estimated to be focused on the passive phase of landing and this findings could help the prevention of lower damage from loads involving landing related to the game of sports.

• 대한전자공학회논문지
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• 제19권2호
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• pp.38-50
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• 1982

이 논문에서는 변형된 디지탈 Costas loop이라고 불리우는 새로운 형의 digital phase-locked loop(DPLL)을 제안하고 성능을 해석하였다. 제안된 DPLL의 주요 특성은 tan-1(·) 함수를 DPLL에 사용함으로써 phase error detector가 선형 특성을 갖게 되고, 따라서 mod-2π 선형 difference equation에 의해서 그 특성을 설명할 수 있다. 본 논문은 2부로 나뉘어져 1부에서는 먼저 제안된 시스템을 설명하고 잡음이 없는 경우 Phase plane방법에 의해서 1차와 2차 loop의 성능을 해석했다. 초기 조건에 관계없이 locking이 될 수 있는 locking 범위의 식을 유도하고, 경우에 따라서 일어날 수 있는 false lock 또는 oscillation 현상을 설명했다. 이론적인 모든 해석은 컴퓨터 시뮬레이션에 의해서 입증되었다. 논문의 2부에서는 잡음이 있을 경우에 제안된 DPLL의 성능을 해석하였다. Chapman-Kolmogorov 방정식을 사용하여 제안된 시스템의 phase error의 steady state probability density함수, mean 및 variance를 얻었다. 이 결과들은 제 2부에 게재 될 것이다.