• 제목/요약/키워드: Variable Importance

검색결과 795건 처리시간 0.024초

FFP-TF를 활용한 OPM의 16CH WDM시스템 광 성능 모니터링 (Optical performance monitoring in 16CH WDM system, using FFP-TF)

  • 이동선
    • 한국통신학회논문지
    • /
    • 제28권8A호
    • /
    • pp.657-662
    • /
    • 2003
  • 광성능을 모니터하기 위해 필요한 것이 OPM(optical performance monitoring module)이다. OPM에서 가장 중요한 것은 광 신호의 파장을 측정하는 것이다. 기존에는 pilot tone을 사용하였으므로 파장값을 얻기가 어려웠지만, 그후 AWG(arrayed waveguide grating), AOTF (acousto optic tuneable filter) 등을 사용하여 다채널 신호에 대한 파장과 전송 품질을 모니터하게 되었다. 본 논문에서는 일반적으로 광 분해능이 우수하다고 평가되는 FFP-TF(fiber fabry perot tuneable filter)를 채택하였으며, FFP-TF를 사용하기 때문에 필요한 기준파장의 설정을 위하여 광섬유격자(FBG : fiber bragg grating)를 사용하였다.

A Study on the Identification of Key Role Players in Enhancing Port Competitiveness - Focused on Busan Port -

  • Kim, Gil-Soo
    • 한국항해항만학회지
    • /
    • 제31권9호
    • /
    • pp.801-806
    • /
    • 2007
  • The analytical hierarchy process (AHP) enables decision makers to represent the interaction of multiple factors in complex and unstructured situations. The process requires the decision maker to develop a hierarchical structure of the factors in the given problem and to provide judgments about the relative importance of each of these factors and ultimately to specify a preference for each decision alternative with respect to each factor. The research presented in this paper applies the AHP to identify key players in promoting port competitiveness. The literature survey revealed four major criteria and 15 sub-criteria. The four factors are cost, service quality, facility/capacity and economic-social variable. 150 questionnaires suitable for AHP analysis were made and 77 were returned. It is found that in terms of cost, the first key player is terminal operator and the second key player is shipping companies calling Busan port; in terms of service quality, the first key player is terminal operator, and the second key player is shipping companies calling Busan port; in terms of facility/capacity, the first key player is port authority and the second key player is terminal operator; in terms of economic-social variable, the first key player is terminal operator, and the second key player is shipping companies calling Busan port.

한의대생들의 교육과정 만족도 영향 요인 연구 - 전북지역 W대학교 한의과대학 재학생을 중심으로 - (A Study on the perception of Korean Medicine Students' curriculum of Korean Medicine College)

  • 박영규;임규상
    • 대한한의학방제학회지
    • /
    • 제29권4호
    • /
    • pp.253-266
    • /
    • 2021
  • Objective : This is to analyze the factors affecting the satisfaction of curriculum at korean medicine college and suggest the direction of the curriculum reformation of korean medicine colleges. Method : The collected data were conducted multiple linear regression analysis using the SPSS ver.26 statistical program, using 'curriculum satisfaction' as a dependent variable after analyzing the frequency of each variable. Result : The average score for curriculum satisfaction at Korean Medicine college was 2.87 points, which was relatively low. The factors affecting the satisfaction of the curriculum were 'A favorable impression of Korean Medicine College of W University' β=0.351(p<.001), 'connectivity between major subjects' β=0.312(p<.001), 'duplex between major subjects' β=-0.163(p<.05), 'recognition of the importance of Chinese characters' β=0.114(p<.0.5). Conclusion : The curriculum of Korean Medicine College should first, be organized to allow students to be proud of themselves, second, the goal of education should set goals optimized for job competency, third, the content of learning should be consisted of student led problem based learning, fourth, the link between major subjects should be intensified, fifth, the clinical practice time should be expanded significantly and lastly the assessment evaluates the performance process.

The Effect of Good Governance on Financial Performance: An Empirical Study on the Siri Culture

  • SALEH, Haeruddin;ROSADI, Imran;MANDA, Darmawati;MAULANA, Zulkifli;IDRIS, Syahril
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제8권5호
    • /
    • pp.795-806
    • /
    • 2021
  • This study analyzes and assesses the effect of good governance consisting of accountability, transparency, and participation on the financial performance of Pare-Pare City local government moderated by the basic values of Siri culture in the form of Lempu (honesty), Amaccangeng (intelligence), and Awaraningeng (courage). The population of this research is 200 local government employees (respondents). The results of data analysis showed that accountability and participation variables had no significant effect on the financial performance of the Pare-Pare City local government. However, the transparency variable has an influence on local government financial performance. It is hoped that all these 3 variables (accountability, transparency, and participation) will have a significant effect on local government financial performance. To achieve this, it is necessary to apply cultural values that exist in society so that cultural values can provide greater guidance in the management of regional finances. The results provide a better understanding of the importance of Siri's cultural value in the implementation of public services to the community. With Siri's cultural values in the form of Lempu, Amaccangeng, and Awaraningeng embedded in their behavior, government employees can improve performance and avoid deviant behavior or corruption. The novelty of this research is a form of analysis by using local cultural values (the basic values of Siri culture) as the moderating variable.

The Effects of Profitability and Solvability on Stock Prices: Empirical Evidence from Indonesia

  • SHOLICHAH, Fatmawati;ASFIAH, Nurul;AMBARWATI, Titiek;WIDAGDO, Bambang;ULFA, Mutia;JIHADI, M.
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제8권3호
    • /
    • pp.885-894
    • /
    • 2021
  • This study aims to analyze the effect of the ratio of profitability and solvability (leverage) on the variable stock price, which is mediated (intervening) by the variable dividend policy. Using the financial reports of manufacturing companies in the consumer goods sector, we take profitability data (ROA, ROE, GPM, and NPM), solvability data (DAR, LTDER, and DER), dividend policy (DPR), and stock price (closing price) from 24 companies, which were selected as samples, from 2011 to 2018. Data was analyzed using the Structural Equation Modeling (SEM) method. The results show that profitability, solvability, and dividend policy affect changes in stock prices, respectively. On the other hand, profitability and solvability do not affect dividend policy. The indirect relationship (intervening) is assessed using a single test, resulting in a dividend policy that can intervene in the relationship between profitability and stock prices but cannot mediate the relationship between solvability and stock prices. The implication of this research is to provide knowledge to investors about the importance of knowing the company's financial performance. Companies with good financial performance will easily develop because there are sufficient funds for company operations. By analyzing financial ratios, investors can get signals to decide whether to invest in the company they want.

CEO Humble Leadership and Corporate Social Responsibility: The Moderating Effect of Firm Slack

  • HONG, Sung Min
    • 융합경영연구
    • /
    • 제8권2호
    • /
    • pp.27-38
    • /
    • 2020
  • Purpose: Strategic management scholars have investigated the effects of corporate social responsibility (CSR) on firm financial performance, identifying various impacts of CSR activities showing conflicting results. Meanwhile, relatively less attention has been paid to the antecedents of CSR activities. According to upper echelons theory, organizational outcomes are predicted by characteristics of CEOs and top management team members. Corporate social responsibility is a type of organizational outcome influenced by such top leader characteristics and choices. Recognizing the importance of exploring new antecedents of CSR activities, I examine whether CEO humility affects CSR outcomes. Research design, data and methodology: The KEJI index was set as a dependent variable to measure CSR activities. Among the 200 sample companies registered in the KEJI database in 2014, 85 companies were finally selected and analyzed to measure CEO humility, as independent variable. I also examine the moderating effects of firm slack on the relationship between CEO humility and CSR activities. Results: There is a positive relationship between CEO humility and corporate social responsibility activities and this relationship is negatively moderated by firm slack. Conclusions: This paper contributes to understanding positive impacts of having humble CEOs on corporate social responsibility outcomes and recognizes the role of firm slack.

폐경 여성에서 트리기반 머신러닝 모델로부터 골다공증 예측 (Predictive of Osteoporosis by Tree-based Machine Learning Model in Post-menopause Woman)

  • 이인자;이준호
    • 대한방사선기술학회지:방사선기술과학
    • /
    • 제43권6호
    • /
    • pp.495-502
    • /
    • 2020
  • In this study, the prevalence of osteoporosis was predicted based on 10 independent variables such as age, weight, and alcohol consumption and 4 tree-based machine-learning models, and the performance of each model was compared. Also the model with the highest performance was used to check the performance by clearing the independent variable, and Area Under Curve(ACU) was utilized to evaluate the performance of the model. The ACU for each model was Decision tree 0.663, Random forest 0.704, GBM 0.702, and XGBoost 0.710 and the importance of the variable was shown in the order of age, weight, and family history. As a result of using XGBoost, the highest performance model and clearing independent variables, the ACU shows the best performance of 0.750 with 7 independent variables. This data suggests that this method be applied to predict osteoporosis, but also other various diseases. In addition, it is expected to be used as basic data for big data research in the health care field.

The Effect of the CEO's Entrepreneurship on Corporate Performance in the Restaurant Industry

  • Jun-Young Lee;Sung-Ho Bang;Ki-Hwan Ryu
    • International journal of advanced smart convergence
    • /
    • 제12권3호
    • /
    • pp.168-174
    • /
    • 2023
  • The purpose of this paper is to analyze entrepreneurship and to find out the impact of CEOs in the restaurant industry on corporate performance when they have entrepreneurship. Entrepreneurs need entrepreneurship to take risks and jump into the market to generate profits. Entrepreneurship is not limited to the abilities or resources held, but it is not limited to the ability or resources held, and entrepreneurship to act means the spirit to take uncertainty and preempt opportunities through innovative activities [1]. In this study, the CEO's entrepreneurship was set as an independent variable and corporate performance as a dependent variable. By applying and analyzing how the CEO's entrepreneurship affects corporate performance in the restaurant industry, the importance of entrepreneurship in the restaurant industry and the impact relationship on corporate performance are analyzed. To this end, 100 CEOs working in the restaurant industry will be surveyed using the Likert 5-point scale[2]. And an empirical analysis will be conducted through the SPSS program[3]. Entrepreneurship is a spirit that can take risks and seize opportunities through bold challenges to generate profits. Therefore, it has been confirmed that it affects corporate performance as a key factor for improving corporate performance, and from related studies, the entrepreneurship of the CEO of the restaurant industry is expected to have a positive (+) effect on corporate performance.

Price Monitoring Automation with Marketing Forecasting Methods

  • Oksana Penkova;Oleksandr Zakharchuk;Ivan Blahun;Alina Berher;Veronika Nechytailo;Andrii Kharenko
    • International Journal of Computer Science & Network Security
    • /
    • 제23권9호
    • /
    • pp.37-46
    • /
    • 2023
  • The main aim of the article is to solve the problem of automating price monitoring using marketing forecasting methods and Excel functionality under martial law. The study used the method of algorithms, trend analysis, correlation and regression analysis, ANOVA, extrapolation, index method, etc. The importance of monitoring consumer price developments in market pricing at the macro and micro levels is proved. The introduction of a Dummy variable to account for the influence of martial law in market pricing is proposed, both in linear multiple regression modelling and in forecasting the components of the Consumer Price Index. Experimentally, the high reliability of forecasting based on a five-factor linear regression model with a Dummy variable was proved in comparison with a linear trend equation and a four-factor linear regression model. Pessimistic, realistic and optimistic scenarios were developed for forecasting the Consumer Price Index for the situation of the end of the Russian-Ukrainian war until the end of 2023 and separately until the end of 2024.

Prediction of medication-related osteonecrosis of the jaw (MRONJ) using automated machine learning in patients with osteoporosis associated with dental extraction and implantation: a retrospective study

  • Da Woon Kwack;Sung Min Park
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
    • /
    • 제49권3호
    • /
    • pp.135-141
    • /
    • 2023
  • Objectives: This study aimed to develop and validate machine learning (ML) models using H2O-AutoML, an automated ML program, for predicting medication-related osteonecrosis of the jaw (MRONJ) in patients with osteoporosis undergoing tooth extraction or implantation. Patients and Methods: We conducted a retrospective chart review of 340 patients who visited Dankook University Dental Hospital between January 2019 and June 2022 who met the following inclusion criteria: female, age ≥55 years, osteoporosis treated with antiresorptive therapy, and recent dental extraction or implantation. We considered medication administration and duration, demographics, and systemic factors (age and medical history). Local factors, such as surgical method, number of operated teeth, and operation area, were also included. Six algorithms were used to generate the MRONJ prediction model. Results: Gradient boosting demonstrated the best diagnostic accuracy, with an area under the receiver operating characteristic curve (AUC) of 0.8283. Validation with the test dataset yielded a stable AUC of 0.7526. Variable importance analysis identified duration of medication as the most important variable, followed by age, number of teeth operated, and operation site. Conclusion: ML models can help predict MRONJ occurrence in patients with osteoporosis undergoing tooth extraction or implantation based on questionnaire data acquired at the first visit.