• 제목/요약/키워드: State-based Model

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기혼여성 시간제일자리의 상태의존성(state dependence) 변화 (Part-time Jobs of Korean Married Women -The recent change in their state dependence-)

  • 정민수
    • 노동경제논집
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    • 제41권3호
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    • pp.95-128
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    • 2018
  • 본 연구는 우리나라 기혼여성들의 시간제, 전일제 등 근로형태가 오래 지속되는지 아니면 근로형태간 이동이 활발한지를 상태의존성(state dependence) 추정을 통하여 살펴보고, 최근의 변화를 분석하였다. 동태적 다항로짓모형(dynamic multinomial logit model) 추정결과 시간제와 전일제 상호간 이동성이 최근 낮아지면서 각 근로형태의 상태의존성은 강화되는 모습을 보였다. 따라서 시간제일자리는 전일제와 미취업 사이에서 근로형태간 이동을 활발하게 하는 디딤돌 또는 쉼터의 역할이 약화되고 전일제 외에 노동시장 참여 옵션을 제공하는, 전일제와는 구분된 추가적 일자리형태로 기능하고 있는 것으로 판단된다.

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경사각을 갖는 관성항법시스템 초기 정밀정렬의 오차 분석 (Error Analysis of Initial Fine Alignment for Non-leveling INS)

  • 조성윤
    • 제어로봇시스템학회논문지
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    • 제14권6호
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    • pp.595-602
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    • 2008
  • In this paper, performance of the initial alignment for INS whose attitude is not leveled is investigated. Observability of the initial alignment filter is analyzed and estimation errors of the estimated state variables are derived. First, the observability is analyzed using the rank test of observability matrix and the normalized error covariance of the Kalman filter based on the 10-state model. In result, it can be seen that the accelerometer biases on horizontal axes are unobservable. Second, the steady-state estimation errors of the state variables are derived using the observability equation. It is verified that the estimates of the state variables have errors due to the unobservable state variables and the non-leveling tilt angles of a vehicle containing the INS. Especially, this paper shows that the larger the tilt angles of the vehicle are, the larger the estimation errors corresponding to the sensor biases are. Finally, it is shown that the performance of the 8-state model excepting the accelerometer biases on horizontal axes is better than that of the 10-state model in the initial alignment by simulation.

Prognostic Model Built on Blood-based Biomarkers in Patients with Metastatic Colorectal Cancer

  • He, Wen-Zhuo;Jiang, Chang;Yin, Chen-Xi;Guo, Gui-Fang;Rong, Ru-Ming;Qiu, Hui-Juan;Chen, Xu-Xian;Zhang, Bei;Xia, Liang-Ping
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권17호
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    • pp.7327-7331
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    • 2014
  • Background: We had previously showed that the neutrophil lymphocyte ratio (NLR), ${\gamma}$-glutamyl transpeptidase (GGT) and carcinoembryonic antigen (CEA) are prognostic factors for metastatic colorectal cancer (mCRC) patients. In this study we developed a prognostic model based on these three indices. Materials and Methods: A total of 243 patients who were initially diagnosed as mCRC between 2005 and 2010 in the Sun Yat-sen University Cancer Center were studied. The endpoint was overall survival (OS). Results: NLR>3, elevated GGT and elevated CEA were confirmed as independent risk factors which could predict poor prognosis. Patients could be divided into three groups according to the number of risk factors they had. Those with two or three were defined as the high risk group, individuals with one risk factor as the modest risk group and patients without risk factor as the low risk group. The OS values for these three groups were 16.2 months (2.80~68.8), 24.2 months (4.07~79.0), and 37.2 months (12.6~87.8), respectively (p<0.001). Conclusions: We developed a simple but useful model based on NLR, GGT and CEA to provide prognostic information to clinical practice in highly selected mCRC patients. Further prospective and multi-center studies are warranted to test our model.

Dual EKF-Based State and Parameter Estimator for a LiFePO4 Battery Cell

  • Pavkovic, Danijel;Krznar, Matija;Komljenovic, Ante;Hrgetic, Mario;Zorc, Davor
    • Journal of Power Electronics
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    • 제17권2호
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    • pp.398-410
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    • 2017
  • This work presents the design of a dual extended Kalman filter (EKF) as a state/parameter estimator suitable for adaptive state-of-charge (SoC) estimation of an automotive lithium-iron-phosphate ($LiFePO_4$) cell. The design of both estimators is based on an experimentally identified, lumped-parameter equivalent battery electrical circuit model. In the proposed estimation scheme, the parameter estimator has been used to adapt the SoC EKF-based estimator, which may be sensitive to nonlinear map errors of battery parameters. A suitable weighting scheme has also been proposed to achieve a smooth transition between the parameter estimator-based adaptation and internal model within the SoC estimator. The effectiveness of the proposed SoC and parameter estimators, as well as the combined dual estimator, has been verified through computer simulations on the developed battery model subject to New European Driving Cycle (NEDC) related operating regimes.

Design of Gain Controller of Decoupling Control of Grid-connected Inverter with LCL Filter

  • Windarko, Novie Ayub;Lee, Jin-Mok;Choi, Jae-Ho
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2008년도 추계학술대회 논문집
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    • pp.124-126
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    • 2008
  • Grid Connected inverter is produced current to deliver power to grid. To provide low THD current, LCL filters is effective to filter high frequency component of current output from inverter. To provide sinusoidal waveform, there are many researchers have been proposed several controllers for grid-connected inverter controllers. Synchronous Reference Frame (SRF)-based controller is the most popular methods. SRF-based controller is capable for reducing both of zero-steady state error and phase delay. But SRF based controller is contained cross-coupling components, which generate some difficulties to analyze. In this paper, SRF based controller is analyzed. By applying decoupling control, cross-coupling component is eliminated and single phase model of the system is obtained. Through this single phase model, gain controller is designed. To reduce steady state error, proportional gain is set as high as possible, but it may produce instability. To compromise between a minimum steady state error and stability, the single phase model is evaluate through Root Locus and Bode diagram. PSIM simulation is used to verify the analysis.

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Aspect-based Sentiment Analysis of Product Reviews using Multi-agent Deep Reinforcement Learning

  • M. Sivakumar;Srinivasulu Reddy Uyyala
    • Asia pacific journal of information systems
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    • 제32권2호
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    • pp.226-248
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    • 2022
  • The existing model for sentiment analysis of product reviews learned from past data and new data was labeled based on training. But new data was never used by the existing system for making a decision. The proposed Aspect-based multi-agent Deep Reinforcement learning Sentiment Analysis (ADRSA) model learned from its very first data without the help of any training dataset and labeled a sentence with aspect category and sentiment polarity. It keeps on learning from the new data and updates its knowledge for improving its intelligence. The decision of the proposed system changed over time based on the new data. So, the accuracy of the sentiment analysis using deep reinforcement learning was improved over supervised learning and unsupervised learning methods. Hence, the sentiments of premium customers on a particular site can be explored to other customers effectively. A dynamic environment with a strong knowledge base can help the system to remember the sentences and usage State Action Reward State Action (SARSA) algorithm with Bidirectional Encoder Representations from Transformers (BERT) model improved the performance of the proposed system in terms of accuracy when compared to the state of art methods.

Stress analysis model for un-bonded umbilical cables

  • Chen, Xiqia;Fu, Shixiao;Song, Leijian;Zhong, Qian;Huang, Xiaoping
    • Ocean Systems Engineering
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    • 제3권2호
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    • pp.97-122
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    • 2013
  • For the optimization design and strength evaluation of the umbilical cable, the calculation of cross section stress is of great importance and very time consuming. To calculate the cross section stress under combined tension and bending loads, a new integrated analytical model of umbilical cable is presented in this paper. Based on the Hook's law, the axial strain of helical components serves as the tensile stress. Considering the effects of friction between helical components, the bending stress is divided into elastic bending stress and friction stress. For the former, the elastic bending stress, the curvature of helical components is deduced; and for the latter, the shear stress before and after the slipping of helical components is determined. This new analytical model is validated by the experimental results of an umbilical cable. Further, this model is applied to estimate the extreme strength and fatigue life of the umbilical cable used in South China Sea.

A comprehensive evaluation method study for dam safety

  • Jia, Fan;Yang, Meng;Liu, Bingrui;Wang, Jianlei;Gao, Jiaorong;Su, Huaizhi;Zhao, Erfeng
    • Structural Engineering and Mechanics
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    • 제63권5호
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    • pp.639-646
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    • 2017
  • According to the multi-index system of dam safety assessment and the standard of safety, a comprehensive evaluation model for dam safety based on a cloud model is established to determine the basic probability assignment of the Dempster-Shafer theory. The Dempster-Shafer theory is improved to solve the high conflict problems via fusion calculation. Compared with the traditional Dempster-Shafer theory, the application is more extensive and the result is more reasonable. The uncertainty model of dam safety multi-index comprehensive evaluation is applied according to the two theories above. The rationality and feasibility of the model are verified through application to the safety evaluation of a practical arch dam.

Input-Output Feedback Linearizing Control With Parameter Estimation Based On A Reduced Design Model

  • Noh, Kap-Kyun;Dongil Shin;Yoon, En-Sup
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.87.2-87
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    • 2001
  • By the state transformation including independent outputs functions, a nonlinear process model can be decomposed into two subsystems; the one(design model) is described in output variables as new states and used for control system synthesis and the other(disturbance model) is described in the original unavailable states and its couplings with the design model are treated as uncertain time-varying parameters in the design model. Its existence with respect to the design model is ignored. So, the design model is an uncertain time-variant system. Control synthesis based on a reduced design model is a combined ...

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Fuzzy Based Approach for the Safety Assessment of Human Body under ELF EM field Considering Power System States

  • Kim, Sang C.;Kim, Doo H.
    • 한국산업안전학회:학술대회논문집
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    • 한국안전학회 1997년도 추계 학술논문발표회 논문집
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    • pp.117-122
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    • 1997
  • This paper presents a study on the fuzzy based approach for the safety assessment of human body under ELF electric and magnetic(EM) field considering power system states. The analysis of ELF EM field based on quasi-static method is introduced. UP to the present, the analysis of ELF EM field has been conducted with the consideration of one transmission line, or a power line model only In this paper, however, the power system is included to model the expected and/or unexpected uncertainty caused by the load fluctuation and parameter changes and the states are classified into two types, normal state resulting from normal operation and emergency state from outages. In order to analyze the uncertainty in the normal state, the Monte Carlo Simulation, a statistic approach was introduced and line current and bus voltage distribution are calculated by a contingency analysis method, in the emergency state. To access the safety of human body, the approach based on fuzzy linguistic variable is adopted to overcome the shortcomings of the assessment by a crisp set concept. In order to validate the usefulness of the approach suggested herein, the case study using a sample system with 765(kV) was done. The results are presented and discussed.

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