• Title/Summary/Keyword: Balance coefficients

Search Result 228, Processing Time 0.025 seconds

A Meta-Analysis of Factors Related to Adolescent Problem Drinking (청소년 문제음주와 관련한 영향요인에 대한 메타분석)

  • Chung, Sulki;Kim, Ji Seon
    • Korean Journal of Health Education and Promotion
    • /
    • v.31 no.1
    • /
    • pp.71-83
    • /
    • 2014
  • Objectives: This study examined the trend of alcohol-related research, with a specific focus on adolescent problem drinking, to provide evidence for prevention and intervention for adolescent alcohol problems and alcohol policy in Korea. Methods: A total of 17 studies examining adolescent problem drinking were included for meta-analysis. Using CMA (Comprehensive Meta-Analysis) 2.0, the effect sizes of correlation coefficients of variables related to adolescent problem drinking were analyzed. Results: 176 variables were extracted under 4 higher categories and 20 sub-categories. Variables were extracted using the four higher categories, namely individual, family, environmental, and demographics, as the theoretical framework. Results showed that most studies on adolescent problem drinking focused mostly on individual factors followed by family factors. Variables including drinking motivation, drinking expectancy, and peer relations showed relatively higher effect size. Conclusions: Study findings suggest the importance of balance between individual and environmental factors in examining problem drinking among adolescents. In order to provide evidence for alcohol policy, more attention should be given to macro environment that are known to influence adolescent drinking.

Design of FNN architecture based on HCM Clustering Method (HCM 클러스터링 기반 FNN 구조 설계)

  • Park, Ho-Sung;Oh, Sung-Kwun
    • Proceedings of the KIEE Conference
    • /
    • 2002.07d
    • /
    • pp.2821-2823
    • /
    • 2002
  • In this paper we propose the Multi-FNN (Fuzzy-Neural Networks) for optimal identification modeling of complex system. The proposed Multi-FNNs is based on a concept of FNNs and exploit linear inference being treated as generic inference mechanisms. In the networks learning, backpropagation(BP) algorithm of neural networks is used to updata the parameters of the network in order to control of nonlinear process with complexity and uncertainty of data, proposed model use a HCM(Hard C-Means)clustering algorithm which carry out the input-output dat a preprocessing function and Genetic Algorithm which carry out optimization of model The HCM clustering method is utilized to determine the structure of Multi-FNNs. The parameters of Multi-FNN model such as apexes of membership function, learning rates, and momentum coefficients are adjusted using genetic algorithms. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization abilities of the model. NOx emission process data of gas turbine power plant is simulated in order to confirm the efficiency and feasibility of the proposed approach in this paper.

  • PDF

Dynamic Characteristics of the Radial Clearance Flow between Axially Oscillating Rotational Disk and Stationary Disk

  • Horiguchi, Hironori;Ueno, Yoshinori;Takahashi, Koutaro;Miyagawa, Kazuyoshi;Tsujimoto, Yoshinobu
    • International Journal of Fluid Machinery and Systems
    • /
    • v.2 no.2
    • /
    • pp.147-155
    • /
    • 2009
  • Dynamic characteristics of the clearance flow between an axially oscillating rotational disk and a stationary disk were examined by experiments and computations based on a bulk flow model. In the case without pressure fluctuations at the inlet and outlet of the clearance, parallel and contracting flow paths had an effect to stabilize the axial oscillation of the rotating disk. The enlarged flow path had an effect to destabilize the axial oscillation due to the negative damping and stiffness for outward and inward flows, respectively. It was shown that the fluid force can be decomposed into the component caused by the inlet or outlet pressure fluctuation without the axial oscillation and that due to the axial oscillation without the inlet or outlet pressure fluctuation. A method to predict the stiffness and damping coefficients is proposed for general cases when the device is combined with an arbitrary flow system.

A SENSITIVITY STUDY ON NEUTRONIC PROPERTIES OF DUPIC FUEL

  • Park, Hangbok;Roh, Gyu-Hog
    • Proceedings of the Korean Nuclear Society Conference
    • /
    • 1998.05a
    • /
    • pp.124-129
    • /
    • 1998
  • A sensitivity study has been done to determine the composition of DUPIC fuel from the viewpoint of neutronics fuel design. The spent PWR fuel compositions were generated and fissile contents adjusted by blending fresh uranium after mixing two spent PWR fuel assemblies. The $^{239}$ Pu and $^{235}$ U enrichments of DUPIC fuel were adjusted by controlling the amount of fresh uranium feed and the ratio of slightly enriched and depleted uranium in the fled uranium. Based on the material balance calculation, it is recommended that DUPIC fuel composition be such that spent PWR fuel utilization is more than 90%.. A sensitivity study on the temperature reactivity coefficient of DUPIC fuel has shown that it is desirable to increase the $^{239}$ Pu and $^{235}$ U contents to reduce both the fuel and coolant temperature coefficients. On the other hand, refueling simulations of the DUPIC core have shown that the channel power peaking factor, which is a measure of the reactor trip margin, increases with the total fissile content. Considering these neutronic characteristics of the DUPIC fuel, il is recommended to have enrichments of 0.45 and 1.00 wt% for $^{239}$ Pu and $^{235}$ U, respectively.

  • PDF

The Design of Multi-FNN Model Using HCM Clustering and Genetic Algorithms and Its Applications to Nonlinear Process (HCM 클러스터링과 유전자 알고리즘을 이용한 다중 FNN 모델 설계와 비선형 공정으로의 응용)

  • 박호성;오성권;김현기
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2000.05a
    • /
    • pp.47-50
    • /
    • 2000
  • In this paper, an optimal identification method using Multi-FNN(Fuzzy-Neural Network) is proposed for model ins of nonlinear complex system. In order to control of nonlinear process with complexity and uncertainty of data, proposed model use a HCM clustering algorithm which carry out the input-output data preprocessing function and Genetic Algorithm which carry out optimization of model. The proposed Multi-FNN is based on Yamakawa's FNN and it uses simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rules. HCM clustering method which carry out the data preprocessing function for system modeling, is utilized to determine the structure of Multi-FNN by means of the divisions of input-output space. Also, the parameters of Multi-FNN model such as apexes of membership function, learning rates and momentum coefficients are adjusted using genetic algorithms. Also, a performance index with a weighting factor is presented to achieve a sound balance between approximation and generalization abilities of the model, To evaluate the performance of the proposed model, we use the time series data for gas furnace and the numerical data of nonlinear function.

  • PDF

Comment on "Estimation of Net Radiation in Three Different Plant Functional Types in Korea" (한국의 세 개의 다른 식생기능형태에서의 순복사 추정 논문에 대한 의견)

  • Kang, Min-Seok;Kim, Joon
    • Korean Journal of Agricultural and Forest Meteorology
    • /
    • v.11 no.3
    • /
    • pp.118-122
    • /
    • 2009
  • Net Radiation ($R_N$) is the major driving force for biophysical and biogeochemical processes in the terrestrial ecosystems, which is one of the most critical variables in both measurement and modeling. Despite its importance, there are only 10 weather stations conducting $R_N$ measurements among the 544 stations operated by Korea Meteorological Administration (KMA; KMA, 2008). The measurement of incoming shortwave radiation ($R_S{\downarrow}$) is, however, conducted at 22 stations while that of sunshine duration is conducted at all the manned stations. In this context, the recent research for estimating $R_N$ using $R_S{\downarrow}$ in Korean peninsula by Kwon (2009) is of great worth. The author used a linear regression and the radiation balance methods. We generally agree with the author that, in terms of simplicity and practicality, both methods show reliable applicability for estimating $R_N$. We noted, however, that the author's experimental method and analysis need some clarification and improvement, that are addressed in the following perspectives: (1) the use of daily integrated data for regression, (2) the use of measured albedo, (3) the use of linear coefficients for whole year data, (4) methodological improvement, (5) the use of sunshine duration, and (6) the error assessment.

Ionic Equilibria Analysis of $NiCl_2$ in Chloride Solutions by Using Bromley Equation (염산용액에서 Bromley식을 이용한 염화니켈의 이온평형해석)

  • Lee Man-Seung;Lee Gwang-Seop
    • Resources Recycling
    • /
    • v.12 no.3
    • /
    • pp.38-45
    • /
    • 2003
  • ionic equilbria of nickel chloride in hydrochloric acid solutions were analyzed by considering chemical equilibria, mass and charge balance equations. The activity coefficients of solutes were calculated by using Bromley equation. It was found that most of species containing nickel existed as $Ni^{2+}$$NiCl^{+}$. The mole fractions of nickel hydroxides were very low in the con-centration ranges considered in this study and the mole fraction of$Ni_4$ $(OH)_{4}^{4+}$ increased greatly with the pH of the solution. The pH values of $NiCl_2$ $-HCl-NaOH-H_2$O system at $25^{\circ}C$ calculated in this study agreed well with those experimentally measured up to ionic strength of 9.4m.

Factors Impacting on Income Inequality in Vietnam: GMM Model Estimation

  • NGUYEN, Hiep Quang
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.8 no.2
    • /
    • pp.635-641
    • /
    • 2021
  • This article analyzes the factors affecting income inequality in Vietnam, with data from 63 provinces and cities collected from the Vietnam Household Living Standards Survey of the General Statistics Office of Vietnam from 2010 to 2018. The article will firstly build a research model to identify factors affecting income inequality. Then, it uses the Generalized Method of Moments (GMM) method to evaluate the effect of factors on income inequality in Vietnam. The empirical estimate result shows that, in the period from 2010 to 2018, the factors such as the proportion of the working employees, income per capita, and inflation have positive effects on the Gini coefficient. That is, when these factors increase, there will be negative effects on improving income inequality in Vietnam. Conversely, when the factors such as the proportion of the literate adults, the proportion of the urban population, and population density increase they will have a positive impact on improving income inequality in Vietnam during this period. The estimated coefficients satisfied the sign expectation except the proportion of the literate adults. It means that, in Vietnam, the increase and more equilibrium in educational attainment balance the distribution of income and bring an improvement in income inequality.

Assessing Social and Work Environmental Factors Towards Women Upward Career Development: An Empirical Study from Pakistan

  • KHURSHID, Nabila;NASEER, Aleena;KHURSHID, Jamila;KHOKHAR, Arif Masih;IRFAN, Muhammad
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.9 no.1
    • /
    • pp.53-61
    • /
    • 2022
  • The goal of this research was to find the relationship between the work environment and societal issues that impede women's advancement to senior management positions. The study included 500 women professionals from diverse firms in Pakistan's business sector, of whom 100 were chosen as the sample size using a purposive sampling method. Experts confirmed the validity of the study tool, which was a questionnaire, and Cronbach's alpha coefficient was used to verify its reliability (0.704-0.982). The model's standardized regression coefficients suggested that social factors (0.298) were the most important factors determining women's empowerment in terms of career development and that they were further influenced by factors related to the work environment (0.411). It was concluded that organizational rules for female employees assist them to maintain a balance between work and family, resulting in a less stressful working environment. The role of the social factor as a mediator is also thought to be important in maintaining a healthier work environment in companies. It was also determined that much more work needs to be done on promotional regulations, as well as gender-blind legislation so that women's professional advancement is not limited to middle management.

A Comparison of Determinants of International Remittance in Developed and Developing Countries (해외 송금 결정 요인: 개도국과 선진국의 비교 분석)

  • Seung-Hwan Yoon
    • Korea Trade Review
    • /
    • v.47 no.2
    • /
    • pp.89-101
    • /
    • 2022
  • International remittances play a crucial role in the economic management of each country, especially in developing countries. Its functions are diverse, including procurement of foreign currency, serving as a cushion for the balance of payments and foreign exchange reserves by reducing the adverse external shocks, driving economic growth, easing the gap between the rich and the poor, and maintaining macroeconomic stability. However, previous studies on remittances have mainly focused on macro-and micro-economic aspects to analyze the determinants. Therefore, this study attempts to identify the determinants of remittances in 122 countries over the past 25 years from macroeconomic and educational aspects as well as institutional qualities. In addition, given the fact that almost all of the world's top 10 recipient countries in terms of GDP and total remittance size are developing countries, developed and developing countries are separated and analyzed for comparison, assuming that there may be a difference between the two groups. Results show that the coefficients of developed and developing countries are different in four areas: Control of Corruption (CC), Rule of Law (RL), Voice and Accountability (VA), and Regulatory Quality (RQ) among the six institutional variables of interest in this study. These results implicate that even the same institutions and policies should be applied and implemented differently depending on the circumstances of each country. In addition, as suggested by the World Bank, policymakers in all countries should double their policy efforts to lower the costs of remittance and improve access to the financial system for immigrants or dispatched workers to ensure a steady inflow of remittances.