• Title/Summary/Keyword: Independent Model

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Do Independent Director Characteristics Affect Firm Performance Under the COVID-19 Epidemic? Empirical Evidence from China

  • ZHAO, Xiaoqing;MU, Qingbang;TEO, Brian Sheng-Xian
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.1
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    • pp.31-40
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    • 2023
  • This paper investigates the effect of independent directorship on the firm performance of Chinese listed companies under the impact of the global COVID-19 epidemic. The study starts by assessing the relationship between independent director-related characteristics and firm performance, then mines independent director characteristics variables, collects variable data, proposes reasonable hypotheses, and constructs a data model. 1597 companies listed on Shanghai and Shenzhen stock index, China, from 2020 to 2021 has been selected as the research sample. An empirical study on the relationship between independent directors' characteristics and firm performance was conducted using SPSS25. The results show that under the impact of the global COVID-19 epidemic, the proportion of independent directors on the board of directors, the age of independent directors, the remuneration of independent directors, and the overseas background of independent directors in Chinese listed companies have a negative relationship with the current firm performance, while the proportion of female independent directors and the part-time rate of independent directors do not have a positive effect on firm performance. The findings of this study strongly imply that independent directors' characteristics play a significant role in corporate governance and firm performance in Chinese listed companies and that the external environment has an impact on how well independent directors can carry out their duties.

Integrated Object Representations in Visual Working Memory Examined by Change Detection and Recall Task Performance (변화탐지와 회상 과제에 기초한 시각작업기억의 통합적 객체 표상 검증)

  • Inae Lee;Joo-Seok Hyun
    • Korean Journal of Cognitive Science
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    • v.35 no.1
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    • pp.1-21
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    • 2024
  • This study investigates the characteristics of visual working memory (VWM) representations by examining two theoretical models: the integrated-object and the parallel-independent feature storage models. Experiment I involved a change detection task where participants memorized arrays of either orientation bars, colored squares, or both. In the one-feature condition, the memory array consisted of one feature (either orientations or colors), whereas the two-feature condition included both. We found no differences in change detection performance between the conditions, favoring the integrated object model over the parallel-independent feature storage model. Experiment II employed a recall task with memory arrays of isosceles triangles' orientations, colored squares, or both, and one-feature and two-feature conditions were compared for their recall performance. We found again no clear difference in recall accuracy between the conditions, but the results of analyses for memory precision and guessing responses indicated the weak object model over the strong object model. For ongoing debates surrounding VWM's representational characteristics, these findings highlight the dominance of the integrated object model over the parallel independent feature storage model.

Overfitting Probabilities using Dependent F-tests in Regression

  • Park, Chan-Keun
    • Communications for Statistical Applications and Methods
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    • v.8 no.3
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    • pp.589-601
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    • 2001
  • Probabilities of overfilling for model selection criteria are derived for several different situations. First, one candidate model with one extra variable is compared to the current model. This is expanded to m candidate models. We show that these comparisons are not independent and discuss ovefitting probabilities. Correlation between two F-tests is derived. Finally, probabilities are computed using the dependent F distributions and F distributions based on order statistics of independent Chi-squares.

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Gradual Reduction of Drug Dosage on an HIV Infection Model with Helper-independent CTL (보조세포 비의존형 CTL 반응이 고려된 HIV 감염 모형에 대한 점진적 약물 감소 기법의 적용)

  • Chang Hyeygjeon;Jo Nam Hoon;Shim Hyungbo
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.12
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    • pp.1148-1154
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    • 2004
  • The goal of this paper is to verity that the gradual reduction of drug dose (GRDD), which has already been shown by authors to be effective for a simplified HIV infection model, still works for a more realistic model. While the simplified HIV infection model does not take into account an helper-independent CTL, the five state nonlinear model proposed by Wodarz describes the dynamics of both helper-dependent and helper-independent CTL in HIV infection. In this paper, it is shown that, by applying GRDD to Wodarz's five state HIV infection model, the state of HIV infected patient converges to that of non-progressor whose immune response is excited so that his symptom would not be developed into AIDS. Roughly speaking, GRDD is 'slow reduction of dose after the maximum dose for a certain period.' It turns out that an equilibrium representing non-progressor is locally asymptotically stable for the most values of drug dosage, which is required to hold in order to apply GRDD. Simulation results establish that GRDD is still considerably effective both for an AIDS patient and a patient who has been on HAART for a long time.

An Implementation of the Vocabulary Independent Speech Recognition System Using VCCV Unit (VCCV단위를 이용한 어휘독립 음성인식 시스템의 구현)

  • 윤재선;홍광석
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.2
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    • pp.160-166
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    • 2002
  • In this paper, we implement a new vocabulary-independent speech recognition system that uses CV, VCCV, VC recognition unit. Since these recognition units are extracted in the trowel region of syllable, the segmentation is easy and robust. And in the case of not existing VCCV unit, the units are replaced by combining VC and CV semi-syllable model. Clustering of vowel group and applying combination rule to the substitution model in the case of not existing of VCCV model lead to 5.2% recognition performance improvement from 90.4% (Model A) to 95.6% (Model C) in the first candidate. The recognition results that is 98.8% recognition rate in the second candidate confirm the effectiveness of the proposed method.

Development of HPCI Prediction Model for Concrete Pavement Using Expressway PMS Database (고속도로 PMS D/B를 활용한 콘크리트 포장 상태지수(HPCI) 예측모델 개발 연구)

  • Suh, Young-Chan;Kwon, Sang-Hyun;Jung, Dong-Hyuk;Jeong, Jin-Hoon;Kang, Min-Soo
    • International Journal of Highway Engineering
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    • v.19 no.6
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    • pp.83-95
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    • 2017
  • PURPOSES : The purpose of this study is to develop a regression model to predict the International Roughness Index(IRI) and Surface Distress(SD) for the estimation of HPCI using Expressway Pavement Management System(PMS). METHODS : To develop an HPCI prediction model, prediction models of IRI and SD were developed in advance. The independent variables considered in the models were pavement age, Annual Average Daily Traffic Volume(AADT), the amount of deicing salt used, the severity of Alkali Silica Reaction(ASR), average temperature, annual temperature difference, number of days of precipitation, number of days of snowfall, number of days below zero temperature, and so on. RESULTS : The present IRI, age, AADT, annual temperature differential, number of days of precipitation and ASR severity were chosen as independent variables for the IRI prediction model. In addition, the present IRI, present SD, amount of deicing chemical used, and annual temperature differential were chosen as independent variables for the SD prediction model. CONCLUSIONS : The models for predicting IRI and SD were developed. The predicted HPCI can be calculated from the HPCI equation using the predicted IRI and SD.

A polychotomous regression model with tensor product splines and direct sums (연속형의 텐서곱과 범주형의 직합을 사용한 다항 로지스틱 회귀모형)

  • Sim, Songyong;Kang, Heemo
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.1
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    • pp.19-26
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    • 2014
  • In this paper, we propose a polychotomous regression model when independent variables include both categorical and numerical variables. For categorical independent variables, we use direct sums, and tensor product splines are used for continuous independent variables. We use BIC for varible selections criterior. We implemented the algorithm and apply the algorithm to real data. The use of direct sums and tensor products outperformed the usual multinomial logistic regression model.

Analysis of the Internal Reliability in Relative Orientation and Independent Model Method (상호표정 및 독립모델법에서의 내적신뢰성 분석)

  • 양인태
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.5 no.1
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    • pp.59-65
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    • 1987
  • This paper presented the procedures for detecting gross errors, and described the influence of the number and distribution of points on the internal reliability in photogrammetric adjustment, such as relative orientation and independent model method. The use of the standard six points for relative orientation and the regular four points for independent model method result in low internal reliability. With such a distribution, gross erors in measured points might not be detected But using cluster of double or triple points instead of individual point, internal reliability improves remarkably.

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Genetic Algorithm for Designing Independent Manufacturing Cells (독립적인 생산셀 설계를 위한 유전 알고리즘)

  • Moon, Chi-Ung;Yi, Sang-Yong
    • Journal of Korean Institute of Industrial Engineers
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    • v.23 no.3
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    • pp.581-595
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    • 1997
  • The procedure of grouping the machines and parts to form cells is called manufacturing cell design. The manufacturing cell design is an important step in the development and implementation of advanced manufacturing systems. For the successful implementation of the manufacturing systems, identification of independent manufacturing cells, i.e., cells where parts are completely processed in the cell and no intercell movements, is necessary in the design phase. In this paper, we developed a mixed integer programming model and genetic algorithm based procedure to solve the independent manufacturing cells design problem considering the alternative process plans and machines duplication. Several manufacturing parameters such as, production volume, machine capacity, processing time, number of cells and cell size, are considered in the process. The model determines the process plan for parts, port families and machine cells simultaneously. The model has been verified with the numerical examples.

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Operation-sequence-based Approach for Designing a U-shaped Independent-Cell System with Machine Requirement Incorporated (설비능력과 작업순서를 고려한 U-라인상에서의 셀 시스템 설계)

  • 박연기;성창섭;정병호
    • Journal of the Korean Operations Research and Management Science Society
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    • v.26 no.1
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    • pp.71-85
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    • 2001
  • This paper considers a cost model for a U-shaped manufacturing cell formation which incorporates a required number of machines and various material flows together under multi-part multi-cell environment. The model is required to satisfy both the specified operation sequence of each part and the total part demand volume, which are considered to derive material handling cost in U-shaped flow line cells. In the model several cost-incurring factors including set-up for batch change-over, processing time for operations of each part, and machine failures are also considered in association with processing load and capacity of each cell. Moreover, a heuristic for a good machine layout in each cell is newly proposed based on the material handling cost of each alternative sequence layout. These all are put together to present an efficient heuristic for the U-shaped independent-cell formation problem, numerical problems are solved to illustrate the algorithm.

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