• Title/Summary/Keyword: series model

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A study on the stochastic generation of annual runoff (연유출량의 추계학적 모의발생에 관한 연구)

  • 이순혁;박명근;맹승진
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.37 no.2
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    • pp.31-40
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    • 1995
  • This study was conducted to get best fitting frequency distribution for the annual run- off and to simulate long series of annual flows by single-season first order Markov Model with comparison of statistical parameters which were derived from observed and synthetic flows at four watersheds in Seom Jin and Yeong San river systems. The results summarized through this study are as follows. 1. Hydrologic persistence of observed flows was acknowledged by the correlogram analysis. 2. A normal distribution of the annual runoff for the applied watersheds was confirmed as the best one among others by Kolmogorov-Smirnov test. 3. Statistical parameters were calculated from synthetic flows simulated by normal dis- tribution. In was confirmed that mean and standard deviation of simulated flows are much closer to those of observed data than except coefficient of skewness. 4. Hydrologic persistence between observed flows and synthetic flows simulated was also confirmed by the correlogram analysis. 5. It is to be desired that generation technique of synthetic flow in this study would be compared with other simulation techniques for the objective time series.

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The Change of Clothing Expenditures and its Determinants in Korean A Time-series Analysis (Part ll) (우리나라 소비자의 피복비 지출구조 변화양상과 결정요인에 대한 종적 연구(제2보))

  • 정수진;이은영
    • Journal of the Korean Society of Clothing and Textiles
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    • v.21 no.7
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    • pp.1139-1152
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    • 1997
  • Clothing consumption expenditure (UX) data of Korean consumers during the period of 1965 to 1993 were analyzed by time series analysis technique. According to the results of regression analysis, current income and UX of the year before showed most significant influences on the current UX. This means that the absolute and permanent income hypotheses can be accepted in case of clothing expenditures. However the effect of income decreased as the economy developed. The relative price of clothing had weak or no influence on clothing expenditures. It was also found out that CSX of the year before, the change of income, relative price of clothing ware the factors that affected clothing expenditures. From the estimation of Houthakker-Taylor state adjustment model, a negative stock coefficient was obtained. That is, clothing is subject to an inventor effect and Korean consumers regard clothing as one of the durable goods. To define whether clothing is a "luxury" or a "necessity", income and relative price elasticity of clothing expenditures were estimated. Income elasticity of clothing is slightly below 1.0 in case of national aggregate expenditures, and slightly above 1.0 in case of urban consumers' expenditures. Income elasticity has declined over time. Meanwhile the coefficient of price elasticity is not significant, indicating that the relative price of clothing have little connection with clothing expenditure.lothing expenditure.

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The Correlation Factors on the Analysis of Demand Factors for Apartments (주택수요 예측인자 영향도 분석에 의한 상관인자선정)

  • Yang Seung-Won;Park Keun-Joon
    • Korean Journal of Construction Engineering and Management
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    • v.6 no.1 s.23
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    • pp.80-88
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    • 2005
  • This research describes an interactive process of analysing the demand factors for apartment on Cheonan area Using subjective statistical data for demand factor the process are categorized into main factors explained for the sensitiveness of correlation coefficient. This investigation is based on an analysis of the work of time series data One of the propose of this research is determining the correlation factors that can be effectively used in the model of forcasting. The results show a significant correlation coefficient on correlation matrix to iud the optimum correlation factors. The paper thus shows how to gain greater influntial factors on principal component analysis Consequently, this paper provides useful information about correlationship, but has limit of regional boundary for effectiveness.

A Study on the Development of Stability Charts for Reinforced Embankments by Geotextile (Geotelrtile 보강사면의 안정도표개발에 관한 연구)

  • 서인식
    • Geotechnical Engineering
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    • v.13 no.4
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    • pp.67-74
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    • 1997
  • This paper presents the deterministic model to evaluate the two dimensional stability of geotextile-reinforced embankments on soft foundations. The potential failure surfaces in this study are assumed as the logarithmic spiral curves refracted at the boundary of layers. To facilitate the iterative calculations, we developed a program that determines the geotextile tensile force for an geoteztile-reinforced embankments. This program can be used for situations with a varying number of soil layers and soil types. A series of calculations have been made for a schematised situation. The results of these series are collected in stability charts, which are compared with those by circular potential failure surfaces. Using these charts in an early stage of the design provides a reasonable estimate of the stability of geotextile-reinforced embankments. In a later stage a more detailed calculation can be made by the developed programs.

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Design Methodology of Series Resonant Converter and Coil of Induction Heating Applications for Heating Low Resistance IH-Only Container (낮은 저항의 IH 전용용기를 가열할 수 있는 유도 가열 컨버터와 코일 설계)

  • Jeong, Si-Hoon;Park, Hwa-Pyoeng;Jung, Jee-Hoon
    • The Transactions of the Korean Institute of Power Electronics
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    • v.23 no.1
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    • pp.24-31
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    • 2018
  • An induction heating (IH) resonant converter, as well as its coil design method, is proposed in this study to improve the heat capability of low- and high-resistance IH vessels. Conventional IH resonant converters have been designed only for heating high-resistance containers designed for IH application. Thus, the primary current in the resonant tank becomes extremely high to transfer the rated power when the converter heats the low-resistance vessel. As a result, the rated power cannot be transferred due to overcurrent flows against the rated switch current. Hence, the optimal number of coil turns and proper operating frequency to heat high- and low-resistance vessels are proposed in this study by analyzing an IH load model. Simulation and experimental results using a 2.4 kW prototype resonant converter and its IH coil validate the proposed design.

Investigating the Time Lag Effect between Economic Recession and Suicide Rates in Agriculture, Fisheries, and Forestry Workers in Korea

  • Yoon, Jin-Ha;Junger, Washington;Kim, Boo-Wook;Kim, Young-Joo;Koh, Sang-Baek
    • Safety and Health at Work
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    • v.3 no.4
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    • pp.294-297
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    • 2012
  • Previous studies on the vast increase in suicide mortality in Southeast Asia have indicated that suicide rates increase in parallel with a rise in unemployment or during periods of economic recession. This paper examines the effects of economic recession on suicidal rates amongst agriculture, fisheries, and forestry workers in Korea. Monthly time-series gross domestic product (GDP) data were linked with suicidal rates gathered from the cause of death records between1993-2008. Data were analyzed using generalized additive models to analyze trends, while a polynomial lag model was used to assess the unconstrained time lag effects of changes in GDP on suicidal rate. We found that there were significant inverse correlations between changes in GDP and suicide for a time lag of one to four months after the occurrence of economic event. Furthermore, it was evident that the overall relative risks of suicide were high enough to bring about social concern.

Cluster Analysis of Daily Electricity Demand with t-SNE

  • Min, Yunhong
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.5
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    • pp.9-14
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    • 2018
  • For an efficient management of electricity market and power systems, accurate forecasts for electricity demand are essential. Since there are many factors, either known or unknown, determining the realized loads, it is difficult to forecast the demands with the past time series only. In this paper we perform a cluster analysis on electricity demand data collected from Jan. 2000 to Dec. 2017. Our purpose of clustering on electricity demand data is that each cluster is expected to consist of data whose latent variables are same or similar values. Then, if properly clustered, it is possible to develop an accurate forecasting model for each cluster separately. To validate the feasibility of this approach for building better forecasting models, we clustered data with t-SNE. To apply t-SNE to time series data effectively, we adopt the dynamic time warping as a similarity measure. From the result of experiments, we found that several clusters are well observed and each cluster can be interpreted as a mix of well-known factors such as trends, seasonality and holiday effects and other unknown factors. These findings can motivate the approaches which build forecasting models with respect to each cluster independently.

Validating Twin Deficit Hypothesis: The Zambian Case

  • Mahuni, Kenneth
    • Asia Pacific Journal of Business Review
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    • v.1 no.2
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    • pp.1-16
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    • 2017
  • The fundamental goal of the research was to verify if the Twin Deficits Hypothesis holds for the economy of Zambia using time series data from 1980-2014. The current account and budget deficit were employed as key variables. The exchange rate was also used as a transmission mechanism to see how it contributes in the nexus. Cointegration tests confirmed a long run association of the variables. After fitting the VECM model, Granger causality tests confirmed the existence of twin deficits for Zambia. The results supported uni-directional reverse causality. The exchange rate was shown to be more significant in the long run than in the short run. The implosion of the time series as shown by the predicted cointegration equation implies that unless drastic measures are taken to cure the deficits, using the current account as the major target variable, twin deficits will persist for some time. The major policy implication of this research is that given that Zambia is a primary commodity-dependent developing country subsisting largely on copper revenues to sustain the economy, there is a need to move away from "copper addiction," given the recent volatility of earnings of primary commodities (e.g. through diversification of the economy, import substitution, and other strategies).

Study of the Applicability of the Carson Line Model for the Series Reactance Calculation of the Power Feeding Lines with no Ground Return (전송로의 직렬리앤턴스 산정 시 Carson 모델의 적용범위 검토)

  • Chung, Sang-Gi;Kwon, Sam-Young;Chang, Sang-Hoon;Jang, Dong-Uk
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.2
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    • pp.225-231
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    • 2009
  • In this paper, it is shown that Carson's equation can still be applied for the calculation of the series reactance of transmission lines with no ground return current as well as the one with ground return. It is proved in the following method. First two voltage drop equations for three-phase three wire transmission line are derived, one without considering ground return and the other using Carson's equation. The impedance matrix of the two equations are different from each other. But if we put the condition of zero ground current, $I_a+I_b+I_c=0$, those two equations becomes the identical equations. Therefore even a transmission line is not grounded, its line parameters can still be obtained using the Carson's equation. It has been confused whether or not Carson's equation can be used for an ungrounded system. It is because where ever Carson's equation is shown in the book, it also says that the system has ground return current paths as a premise. It is also verified with EMTP studies on the test circuit.

Development of user activity type and recognition technology using LSTM (LSTM을 이용한 사용자 활동유형 및 인식기술 개발)

  • Kim, Young-kyun;Kim, Won-jong;Lee, Seok-won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.360-363
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    • 2018
  • Human activity is influenced by various factors, from individual physical features such as vertebral flexion and pelvic distortion to feelings such as joy, anger, and sadness. However, the nature of these behaviors changes over time, and behavioral characteristics do not change much in the short term. The activity data of a person has a time series characteristic that changes with time and a certain regularity for each action. In this study, we applied LSTM, a kind of cyclic neural network to deal with time - series characteristics, to the technique of recognizing activity type and improved recognition rate of activity type by measuring time and parameter optimization of components of LSTM model.

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