• 품질경영학회지
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• 제12권2호
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• pp.11-14
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• 1984

Some statistics are presented for construction of confidence intervals of variance components for the unbalanced twofold nested classification model and they are shown to be approximated by chi-square distributions.

• Communications for Statistical Applications and Methods
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• 제7권2호
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• pp.403-414
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• 2000

A diagnostic tool for testing homogeneity for random effects is proposed in unbalanced linear mixed model based on score statistic. The finite sample behavior of the test statistic is examined using Monte Carlo experiments examine the chi-square approximation of the test statistic under the null hypothesis.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2003년도 추계 학술발표회 논문집
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• pp.245-252
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• 2003

• Earthquakes and Structures
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• 제19권1호
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• pp.59-77
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• 2020

The code static eccentricity model for elastic torsional design of structures has two critical shortcomings: (1) the negation of the inertial torsional moment at the center of mass (CM), particularly for torsionally-unbalanced (TU) building structures, and (2) the confusion caused by the discrepancy in the definition of the design eccentricity in codes and the resistance eccentricity commonly used by engineers such as in FEMA454. To overcome these shortcomings, using the resistance eccentricity model that can accommodate the inertial torsional moment at the CM, interactive relations between shear and torsion are proposed as follows: (1) elastic responses of structures at instants of peak edge-frame drifts are given as functions of resistance eccentricity, and (2) elastic hysteretic relationships between shear and torsion in forces and deformations are bounded by ellipsoids constructed using two adjacent dominant modes. Comparison of demands estimated using these two interactive relations with those from shake-table tests of two TU building structures (a 1:5-scale five-story reinforced concrete (RC) building model and a 1:12-scale 17-story RC building model) under the service level earthquake (SLE) show that these relations match experimental results of models reasonably well. Concepts proposed in this study enable engineers to not only visualize the overall picture of torsional behavior including the relationship between shear and torsion with the range of forces and deformations, but also pinpoint easily the information about critical responses of structures such as the maximum edge-frame drifts and the corresponding shear force and torsion moment with the eccentricity.

• Journal of the Korean Data and Information Science Society
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• 제15권3호
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• pp.645-654
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• 2004

In this paper, we develop the Bayesian test procedure for the intraclass correlation coefficient in the unbalanced one-way random effect model based on the reference priors. That is, the objective is to compare two nested model such as the independent and intraclass models using the factional Bayes factor. Thus the model comparison problem in this case amounts to testing the hypotheses $H_1:\rho=0$ versus $H_2:{\rho}{\neq}0$. Some real data examples are provided.

• 한국산학기술학회논문지
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• 제21권5호
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• pp.672-678
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• 2020

교류전기철도 급전시스템에 병렬급전방식을 적용할 경우, 전동차 부하로 인한 전압강하 및 최대순시부하를 감소시켜 급전구간을 연장하고 급전용량을 향상시킬 수 있다는 장점이 있다. 그러나 변전소 간에 위상차가 있을 경우 순환전력이 발생하기 때문에 적용이 제한되며, 전동차 운행에 따른 부하 분포에 따라 변전소 부하 불균형이 커져서 급전용량이 저하되는 문제점이 있다. 본 논문에서는 변전소 위상차 및 전동차 부하분포에 따라 변동하는 순환전력을 실시간 제어하고 변전소 부하 불균형을 해소하기 위하여 사이리스터 제어 위상조정장치 (TCPAR: Thyristor Controlled Phase Angle Regulator, 이하 TCPAR)를 적용하는 방식을 제안하고, 이를 구현하기 위한 검토를 수행하였다. 전기철도 급전 시스템에 TCPAR을 적용하기 위한 제어 기법으로서, 변전소 공급전력을 입력으로 이용하여 변전소 위상차 및 전동차 부하 분포에 따라 변동하는 순환전력과 변전소 부하 불균형을 효과적으로 억제하는 제어모델을 제시하였다. PSCAD/EMTDC를 이용한 시뮬레이션 결과, 전기철도 병렬급전에 제안한 TCPAR을 적용함으로써 변전소 위상차 및 전동차 부하분포에 따라 변동하는 순환전력 및 변전소 부하 불균형을 효과적으로 억제시킬 수 있다는 것을 확인하였다. 제안 기법을 전기철도 병렬급전에 적용할 경우, 병렬급전 적용 범위를 확대하고 급전용량을 증가시킬 수 있을 것으로 기대된다.

• Journal of Power Electronics
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• 제17권1호
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• pp.262-271
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• 2017

This paper studies the performances of five typical Phase-locked Loops (PLLs) for distorted and unbalanced grid, which are the Decoupled Double Synchronous Reference Frame PLL (DDSRF-PLL), Double Second-Order Generalized Integrator PLL (DSOGI-PLL), Double Second-Order Generalized Integrator Frequency-Lock Loop (DSOGI-FLL), Double Inverse Park Transformation PLL (DIPT-PLL) and Complex Coefficient Filter based PLL (CCF-PLL). Firstly, the principles of each method are meticulously analyzed and their unified small-signal models are proposed to reveal their interior relations and design control parameters. Then the performances are compared by simulations and experiments to investigate their dynamic and steady-state performances under the conditions of a grid voltage with a negative sequence component, a voltage drop and a frequency step. Finally, the merits and drawbacks of each PLL are given. The compared results provide a guide for the application of current control, low voltage ride through (LVRT), and unintentional islanding detection.

• 조명전기설비학회논문지
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• 제17권5호
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• pp.118-125
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• 2003

본 연구에서는 배전계통에서 부하불평형을 고려한 분산형 전원의 운영에 대한 계획을 제안하였다. 또한, 배전계통의 실제 부하구성 분포를 고려하기 위하여 부하모형은 가정용, 산업용, 상업용, 사무용 및 농업용 부하 등의 집단 부하로 모형화 하였다. 또한, 목적함수로는 계통 유효전력손실을 사용하였고 분산형전원의 수 또는 총용량 및 모선 전압을 제약조건으로 정식화하였으며, 이 목적함수와 제약조건에 대한 부정확한 성질을 평가하기 위하여 퍼지 Goal Programing으로 모델링 하였으며, GA를 사용하여 최적해를 탐색하였다.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.125-131
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• 2021

Detecting fraudulent insurance claims is difficult due to small and unbalanced data. Some research has been carried out to better cope with various types of fraudulent claims. Nowadays, technology for detecting fraudulent insurance claims has been increasingly utilized in insurance and technology fields, thanks to the use of artificial intelligence (AI) methods in addition to traditional statistical detection and rule-based methods. This study obtained meaningful results for a fraudulent insurance claim detection model based on machine learning (ML) and deep learning (DL) technologies, using fraudulent insurance claim data from previous research. In our search for a method to enhance the detection of fraudulent insurance claims, we investigated the reinforcement learning (RL) method. We examined how we could apply the RL method to the detection of fraudulent insurance claims. There are limited previous cases of applying the RL method. Thus, we first had to define the RL essential elements based on previous research on detecting anomalies. We applied the deep Q-network (DQN) and double deep Q-network (DDQN) in the learning fraudulent insurance claim detection model. By doing so, we confirmed that our model demonstrated better performance than previous machine learning models.

• Journal of international Conference on Electrical Machines and Systems
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• 제3권2호
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• pp.176-183
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• 2014

Three-phase four-wire distribution systems are used for both three-phase three-wire loads and single-phase two-wire consumer appliances in South Korea, Myanmar and other countries. Unbalanced load conditions frequently occur in these distribution systems. These unbalanced load conditions cause unbalanced voltages for three-phase and single-phase loads, and increase the loss in the distribution transformer. In this paper, we propose constant DC capacitor voltage control based strategy for the active load balancer (ALB) in the three-phase four-wire distribution systems. Constant DC capacitor voltage control is always used in active power line conditioners. The proposed control strategy does not require any computation blocks of the active and reactive currents on the distribution systems. Balanced source-side currents with a unity power factor are obtained without any calculation block of the unbalanced active and reactive components on the load side. The basic principle of the constant DC capacitor voltage control based strategy for the ALB is discussed in detail and then confirmed by both digital computer simulations using PSIM software and prototype experimental model. Simulation and experimental results demonstrate that the proposed control strategy for the ALB can balance the source currents with a unity power factor in the three-phase four-wire distribution systems.