• Title/Summary/Keyword: Cause-Effect Model

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Application and Analysis of the Steady State Spectral Wave Model Take into Account the Effect of Current (흐름의 영향을 고려한 정상상태 스펙트럼 파랑모델의 적용 및 분석)

  • Lee, Hak-Seung;Lee, Joong-Woo;Yang, Sang-Yong
    • Journal of Navigation and Port Research
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    • v.28 no.1
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    • pp.97-104
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    • 2004
  • Introduction of wave model, take into account the effect of tide, wind and wave induced currents at the coastal waters of complex bathymetry, is a very important factor for most coastal engineering design and disaster protection problems. As the steady state spectral wave model could simulate depth induced wave shoaling and refraction, current induced refraction effect, steepness induced wave breaking, diffraction, wind wave growth, wave-wave interaction, and wave-current interaction that redistribute energy, this would support and compensate the gap in the real field of design where other wave models could not deal and cause wrong estimation. In this study, for better understanding and analysis of wave transformation process, we applied the spectral wave model to the large coastal waters near Gaduck Island where the Busan new port construction project is going on. We also compared the simulation results with the calculatea from the existing model. From such a trial of this study, we hope that broader and safer use of the spectral model in the area of port design and disaster prevention system come through in near future.

Modeling feature inference in causal categories (인과적 범주의 속성추론 모델링)

  • Kim, ShinWoo;Li, Hyung-Chul O.
    • Korean Journal of Cognitive Science
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    • v.28 no.4
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    • pp.329-347
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    • 2017
  • Early research into category-based feature inference reported various phenomena in human thinking including typicality, diversity, similarity effects, etc. Later research discovered that participants' prior knowledge has an extensive influence on these sorts of reasoning. The current research tested the effects of causal knowledge on feature inference and conducted modeling on the results. Participants performed feature inference for categories consisted of four features where the features were connected either in common cause or common effect structure. The results showed typicality effects along with violations of causal Markov condition in common cause structure and causal discounting in common effect structure. To model the results, it was assumed that participants perform feature inference based on the difference between the probabilities of an exemplar with the target feature and an exemplar without the target feature (that is, $p(E_{F(X)}{\mid}Cat)-p(E_{F({\sim}X)}{\mid}Cat)$). Exemplar probabilities were computed based on causal model theory (Rehder, 2003) and applied to inference for target features. The results showed that the model predicts not only typicality effects but also violations of causal Markov condition and causal discounting observed in participants' data.

Considerations about Evolutionary Ecological Study of Psychiatry (정신의학의 진화생태학적 연구 시 고려사항)

  • Park, Hanson
    • Korean Journal of Cognitive Science
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    • v.30 no.4
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    • pp.199-217
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    • 2019
  • Evolutionary research on mental disorders is relatively difficult compared to other medical studies. It is because the cause of mental disorder is unclear relative to other medical diseases, various proximate causations are involved. And it is difficult to distinguish cause and effect and to carry out experimental research. Despite these methodological difficulties, it is possible to establish an evolutionary hypothesis on mental disorders based on constructive reductionism, and to demonstrate actual data on the model based on this hypothesis. In this paper, I will discuss some conceptual definitions needed for applying ecological approaches to evolutionary psychiatric research. We will first discuss the appropriate level of explanations and the scope of the study subjects, then discuss the conceptual definition of behaviour and function, dysfunction and the appropriate level of selection.

Fault Diagnosis in Semiconductor Etch Equipment Using Bayesian Networks

  • Nawaz, Javeria Muhammad;Arshad, Muhammad Zeeshan;Hong, Sang Jeen
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.14 no.2
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    • pp.252-261
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    • 2014
  • A Bayesian network (BN) based fault diagnosis framework for semiconductor etching equipment is presented. Suggested framework contains data preprocessing, data synchronization, time series modeling, and BN inference, and the established BNs show the cause and effect relationship in the equipment module level. Statistically significant state variable identification (SVID) data of etch equipment are preselected using principal component analysis (PCA) and derivative dynamic time warping (DDTW) is employed for data synchronization. Elman's recurrent neural networks (ERNNs) for individual SVID parameters are constructed, and the predicted errors of ERNNs are then used for assigning prior conditional probability in BN inference of the fault diagnosis. For the demonstration of the proposed methodology, 300 mm etch equipment model is reconstructed in subsystem levels, and several fault diagnosis scenarios are considered. BNs for the equipment fault diagnosis consists of three layers of nodes, such as root cause (RC), module (M), and data parameter (DP), and the constructed BN illustrates how the observed fault is related with possible root causes. Four out of five different types of fault scenarios are successfully diagnosed with the proposed inference methodology.

Study on Slope Prevention Effect of Eco-environmental Riprap Structure (친환경 호안구조물의 사면보호 효과에 관한 연구)

  • Kim, Khi-Woong
    • Journal of the Korean Geosynthetics Society
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    • v.8 no.4
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    • pp.47-51
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    • 2009
  • The slope failure in the country is caused by mainly rainfall and its type is reported shallow slope failures in general. To investigate the cause of slope failure, the unsaturated soil slope behavior in accordance with rainfall amount studies actively, but there are little studies related the slope erosion and scour by rainfall. The slope erosion and scour by rainfall cause environmental pollution and slope instability, however there are few methods to effectively control them. This research analyzed experimentally how infinite gradients are infiltrated according to the changes of amount of rainfall and the slope of gradients by manufacturing the model of gradient in order to investigate how rainfall infiltrates regarding homogeneous gradients and slope protection method. For this, this experiment measured and analyzed discharge, storage rate occurring in gradients by going on changing amount of rainfall, slope of gradients.

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Effectiveness of non-linear fluid viscous dampers in seismically isolated buildings

  • Guler, Elif;Alhan, Cenk
    • Earthquakes and Structures
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    • v.17 no.2
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    • pp.191-204
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    • 2019
  • Near-field earthquake records including long-period high-amplitude velocity pulses can cause large isolation system displacements leading to buckling or rupture of isolators. In such cases, providing supplemental damping in the isolation system has been proposed as a solution. However, it is known that linear viscous dampers can reduce base displacements in case of near-field earthquakes but at the potential expense of increased superstructure response in case of far-field earthquakes. But can non-linear dampers with different levels of non-linearity offer a superior seismic performance? In order to answer this question, the effectiveness of non-linear viscous dampers in reducing isolator displacements and its effects on the superstructure response are investigated. A comparison with linear viscous dampers via time history analysis is done using a base-isolated benchmark building model under historical near-field and far-field earthquake records for a wide range of different levels of non-linearity and supplemental damping. The results show that the non-linearity level and the amount of supplemental damping play important roles in reducing base displacements effectively. Although use of non-linear supplemental dampers may cause superstructure response amplification in case of far-field earthquakes, this negative effect may be avoided or even reduced by using appropriate combinations of non-linearity level and supplemental damping.

A Study on the Concentration of Wave Energy by Construction of a Submerged Coastal Structure (해저구조물 설치에 따른 파랑에너지 집적에 관한 연구)

  • Gug, S.G.;Lee, J.W.
    • Journal of Korean Port Research
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    • v.6 no.1
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    • pp.69-91
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    • 1992
  • A new type of horizontal submerged break water or fixed structure to control waves near coastal area is introduced to focus wave energy before or behind it. Intentionally, the water depth near the structure is changed gradually to get a refraction and diffraction effect. The concentration of wave energy due to the structure was analyzed for the selected design of structure. The shape of the submerged structure in consideration is a circular combined with elliptical curve not to cause reflection of waves at the extreme edge of the structure but cause wave scattering. The direction of the structure against the incident wave is changed easily in the model Applying a regular wave train the following were examined. 1) whether a crescent plain submerged structure designed by the wave refraction theory can concentrate wave energy at a focal zone behind and before it without wave breaking phenomenon. 2) Location of maximum wave amplification factor in terms of the incident wave direction, wave period, etc. In any event the study would contribute to control waves near coastal area and to protect a beach from erosion without interruption of ocean view it is an useful study for the concentration of wave energy efficiently with the increase of wave height.

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A Study of the Learning Participation Motive Effect on Servant Leadership and the Mediating Effect of the Sense of Community : Focused on Church Family Ministry Program Participants (학습참여동기가 서번트 리더십에 미치는 영향과 공동체 의식의 매개효과에 관한 연구 : 교회 가정사역 프로그램 참여자를 중심으로)

  • Lee, Chu Gang;Kim, Jong Pyo;Hong, Mi Kyung
    • Journal of Christian Education in Korea
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    • v.64
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    • pp.173-202
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    • 2020
  • This study was conducted in order to investigate the structural relationship bewteen the learning participation motive effect on servant leadership in the church family ministry program and the sense of community. First, analyizing previous studies, a structural model was developed. Then, in the effort of verifying the structural model, 607 responses out of 700 questionnaires distributed into nationwide churches and institutes participating in church family ministry program were collected as target data. Informations on learning participation motive, servant leadership, and sense of community were collected through the questionnaires after the church family ministry program. In order to study the structural relationship between the servant leadership effect on learning participation motive and the sense of community, the collected data were analyzed according to structure equation model analylsis. As a result, the structural model this study suggested was found proper. Accordingly, it was verified that the sense of community carrying the effect of intrinsic and extrinsic motives, two of learning participation motives, affected servant leadership. Also, it was verified that the subfactors of the sense of community played important role in enhancing servant leadership in cause and effect relationship between learning participating motive and servant leadership. Therefore, in church family ministry program, it can be suggested that moderating sense of community under the consideration of participants' intrinsic and extrinsic motives makes moderating the level of learning participation motive possible.

Robust High-Gain Observer Based SOC Estimator for Uncertain RC Model of Li-Ion Batteries (불확실성을 갖는 RC 모델 기반의 리튬이온 배터리 SOC 추정을 위한 강인한 고이득 관측기 설계)

  • Lee, Jong-Yeon;Kim, Wonho;Hyun, Chang-Ho
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.3
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    • pp.214-219
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    • 2013
  • This paper proposes the robust high-gain observer based SOC estimatro for uncertain RC model of Li-Ion batteries. In general, RC battery model has inevitable uncertainties and it cause some negative effect to estimate the accurate SOC of Li-Ion batteries. The proposed estimator overcomes such weakness with two techniques; high-gain observer design technique and sliding mode control technique. A high-gain observer provides the robustness against model uncertainties to the proposed estimator. A sliding mode control technique helps the proposed estimator by reducing the side effect of adopting a high-gain observer such as peaking phenomenon and perturbation. The performance of the proposed estimator is verified by some simulation.

Effect of Noise Cancelling Devices on Dental Handpieces Using Ear Model (귀 모형을 이용한 치과 핸드피스에 대한 소음 저감 장치의 효과 분석)

  • Mo, Seunghan;Kang, Jungu;Kim, Ik-Hwan;Choi, Hyung-Jun;Song, Je Seon;Shin, Yooseok
    • Journal of the korean academy of Pediatric Dentistry
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    • v.47 no.1
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    • pp.62-69
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    • 2020
  • This study intended to evaluate noise level of dental handpieces and the effects of noise cancelling devices. An ear model was designed to measure the level of the noise delivered to the inner ear during dental handpiece operation. The level of noise was measured in various conditions using the ear model and the portable noise meter. Noise level was measured again after applying of 4 different noise cancelling devices to the model ear. The noise level of dental handpieces was 82.5 - 84.4 dB. When 4 types of noise canceling devices were applied, the noise level reduced to 67.4 - 73.8 dB. All 4 devices had statistically significant effect in reducing the noise of the handpiece. Considering the intensity and exposure time, noise in dental clinics can cause hearing damage to dentists. For protection from the risk of occupational hearing damages, noise canceling devices can be recommended.