• Title/Summary/Keyword: duration model

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Analysis of the Timing of Spoken Korean Using a Classification and Regression Tree (CART) Model

  • Chung, Hyun-Song;Huckvale, Mark
    • Speech Sciences
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    • v.8 no.1
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    • pp.77-91
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    • 2001
  • This paper investigates the timing of Korean spoken in a news-reading speech style in order to improve the naturalness of durations used in Korean speech synthesis. Each segment in a corpus of 671 read sentences was annotated with 69 segmental and prosodic features so that the measured duration could be correlated with the context in which it occurred. A CART model based on the features showed a correlation coefficient of 0.79 with an RMSE (root mean squared prediction error) of 23 ms between actual and predicted durations in reserved test data. These results are comparable with recent published results in Korean and similar to results found in other languages. An analysis of the classification tree shows that phrasal structure has the greatest effect on the segment duration, followed by syllable structure and the manner features of surrounding segments. The place features of surrounding segments only have small effects. The model has application in Korean speech synthesis systems.

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Implementation of a Robust Speaker Recognition System in Noisy Environment Using AR HMM with Duration-term (지속시간항을 갖는 AR HMM을 이용한 잡음환경에서의 강인 화자인식 시스템 구현)

  • 이기용;임재열
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.6
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    • pp.26-33
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    • 2001
  • Though speaker recognition based on conventional AR HMM shows good performance, its lack of modeling the environmental noise makes its performance degraded in case of practical noisy environment. In this paper, a robust speaker recognition system based on AR HMM is proposed, where noise is considered in the observation signal model for practical noisy environment and duration-term is considered to increase performance. Experimental results, using the digits database from 100 speakers (77 males and 23 females) under white noise and car noise, show improved performance.

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A Computational Model for a Neuronal Membrane Considering the Extremely Low Frequency and Mobile Phone Frequency Electromagnetic Field Effect (극 저주파 및 휴대전화 전자파 환경 변수를 고려한 새포막 활동 전위 모형)

  • 서영준;이은주;안재목;이용업;황태금;이재선;서정선
    • Journal of Biomedical Engineering Research
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    • v.24 no.4
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    • pp.347-354
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    • 2003
  • In this paper, a computational method of an action potential including the effect of extremely low frequency and mobile phone (external) electromagnetic fields is Proposed. The method is based on the Hodgkin and Huxley model, applies the effect of the electromagnetic fields on the action Potential in terms of a binding factor into the injection current of the model, and calculates the Strength-Duration curve from numerical experiments for a frequency range of electromagnetic fields. In the numerical experiments, the coupled ordinary differential equations of the action potential and the state variables are solved solf-consistently by using Runge-Kutta Fehlberg method. The range of the frequency considered is from 1Hz through 100Hz and of 900MHz, which is specific for a mobile Phone. The Strength-Duration curves resulted showed good agreements with the equation suggested by Hodgkin and Huxley.

Rainfall Adjustment on Duration and Topographic Elevation (지속시간 및 표고에 따른 강우량 보정에 관한 연구)

  • Um, Myoung-Jin;Cho, Won-Cheol;Rim, Hae-Wook
    • Journal of Korea Water Resources Association
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    • v.40 no.7
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    • pp.511-521
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    • 2007
  • The objective of this study is to develop a method of rainfall adjustment on duration and topographic elevation for rainfall data in Jejudo. The method of rainfall adjustment is based on the polynomial regression analysis for the hourly rainfall data and the distribution of observatories of korea meteorological administration. As the results of modeling have shown, duration and rainfall are more correlated than topographic elevation and rainfall, and the model which considers only an elevation exaggerates the amount of rainfall adjustment. Hence the model of duration-elevation-rainfall is more competitive to the natural rainfall event than the model of topographic elevation-rainfall. However this model require to supplement a small number of rainfall observatories and short observed period.

Development of a Model for Calculating the Construction Duration of Urban Residential Housing Based on Multiple Regression Analysis (다중 회귀분석 기반 도시형 생활주택의 공사기간 산정 모델 개발)

  • Kim, Jun-Sang;Kim, Young Suk
    • Land and Housing Review
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    • v.12 no.4
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    • pp.93-101
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    • 2021
  • As the number of small households (1 to 2 persons per household) in Korea gradually increases, so does the importance of housing supply policies for small households. In response to the increase in small households, the government has been continuously supplying urban housing for these households. Since housing for small households is a sales and rental business similar to apartments and general business facilities, it is important for the building owner to calculate the project's estimated construction duration during the planning stage. Review of literature found a model for estimating the duration of construction of large-scale buildings but not for small-scale buildings such as urban housing for small households. Therefore this study aimed to develop and verify a model for estimating construction duration for urban housing at the planning stage based on multiple regression analysis. Independent variables inputted into the estimation model were building site area, building gross floor area, number of below ground floors, number of above ground floors, number of buildings, and location. The modified coefficient of determination (Ra2) of the model was 0.547. The developed model resulted in a Root Mean Square Error (RMSE) of 171.26 days and a Mean Absolute Percentage Error (MAPE) of 26.53%. The developed estimation model is expected to provide reliable construction duration calculations for small-scale urban residential buildings during the planning stage of a project.

A Study on the Effective Decision-Making Support Model for Construction Duration by the Hypothetical Weather Simulation (가상기후 시뮬레이션에 의한 공기산정 의사결정 지원모델에 관한 연구)

  • Jeong Suk-Nam;Lee Hak-Ki
    • Korean Journal of Construction Engineering and Management
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    • v.1 no.4 s.4
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    • pp.74-81
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    • 2000
  • The duration of construction in the construction works contains non-working days as well as working days. The duration is so relevant to climate that it should be calculated after fully considered about the regional climate in which construction processes. In most construction fields, however, there has been a frequent adjustment of duration because the field supervisor's experiences have decided non-working days indiscriminately without any accurate information about weather. Not only has that done great economic damages, but also caused many problems in interests among construction subject. So, in this study, we will analyse the elements of climate which has influences on the duration and implement the hypothetical weather simulation. By connecting the results of simulation with the duration of construction, we will propose the decision-making support model for the efficient calculation of duration when the field supervisor makes the projects schedule.

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A Predictive Model for Software Development Team Size and Duration Based on Function Point (기능점수 기반 소프트웨어 개발팀 규모와 개발기간 예측 모델)

  • Park, Seok-Gyu;Lee, Sang-Un
    • The KIPS Transactions:PartD
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    • v.10D no.7
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    • pp.1127-1136
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    • 2003
  • Estimation of software project cost, effort and duration in the early stage of software development cycle is a difficult and key problem in software engineering. Most of models estimate the development effort using the function point that is measured from the requirement specification. This paper presents optimal team size and duration prediction based on function point in order to provide information that can be used as a guide in selecting the most Practical and productive team size for a software development project. We introduce to productive metrics and cost for decision criteria of ideal team size and duration. The experimental is based on the analysis of 300 development and enhancement software project data. These data sets are divide in two subgroups. One is a development project; the other is a maintenance project. As a result of evaluation by productivity and cost measured criteria in two subgroups, we come to the conclusion that the most successful projects has small teams and minimum duration. Also, I proposed that predictive model for team sire and duration according to function point size based on experimental results. The presented models gives a criteria for necessary team site and duration according to the software size.

A Study of Unemployment Duration: A Survival Analysis Using Log Normal Model (실업급여 수급권자의 실업기간과 재취업에 관한 실증연구: 모수적 생존모델(Log-Normal Model)을 이용한 분석)

  • Kang, Chul-Hee;Kim, Kyo-Seong;Kim, Jin-Wook
    • Korean Journal of Social Welfare
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    • v.37
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    • pp.1-31
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    • 1999
  • In Korea, little is known about unemployment duration and exit rate from unemployment. This paper empirically examines the duration of unemployment using data for the years 1996 and 1997 on unemployed individuals who are eligible for unemployment insurance benefits in Korea. A parametric survival model (log-normal model) is adopted to identify factors predicting transitions to reemployment. Factors that affect unemployment duration are sex, age, employment duration (year), prior salary, region, prior employment industry, cause of unemployment, officially determined unemployment benefit duration, degree of benefit exhaustion, and amount of benefits for early reemployment. However, education is not statistically significant In degree of benefit exhaustion, the exit rate from unemployment decreases as benefit exhaustion is approached. In amount of benefits for early reemployment, the exit rate from unemployment increases as amount of benefits increases. Hazards for reemployment gradually increase until 80 days after unemployment and gradually decrease in the following period. Thus, we find that distribution of hazards for reemployment has log-normal shapes between inverted U and inverted L This paper takes advantage of a unique analysis about unemployment duration and exit rate from unemployment in the Korean Unemployment Insurance system which functions as the most valuable social safely-net mechanism in the recent national economic crisis. Indeed, this paper provides a basic knowledge about realities of unemployed individuals in the Unemployment Insurance system and identifies research areas that require further study.

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A Study on Normal Project Duration for Water Resource Project (수자원시설 건설공사 표준공기 산정을 위한 기초연구)

  • Lee, Bongsu;Kim, Kinam;Lee, Minjae
    • Korean Journal of Construction Engineering and Management
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    • v.16 no.1
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    • pp.35-43
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    • 2015
  • It is important to have enough design and construction duration for infrastructure projects. However, recent water resource project in Korea shows several problems caused by their fast-tract schedule. National Audit Committee report several water resource projects have quality problems caused by insufficient project duration. Especially, water resource projects such as dam and water pipeline construction should have proper time to secure their structure quality. Normal project duration for these projects should be estimated based on previous similar projects' historical data analysis. However there is no standard model which can estimate normal project duration for water resource projects in Korea. There are several normal project duration estimation models for building project developed by public(LH) and private construction companies. However, there is no proper model for water resource projects. So, this study developed normal project duration model for dam and water pipeline projects using historical data and show application of models.

A Study on the Quantification Model of Parking Behaviors in Pusan C. B. D (부산시 도심지역의 주차행동결정 수량화 모형에 관한 연구)

  • 오윤표;김희생
    • Journal of Korean Society of Transportation
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    • v.9 no.1
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    • pp.29-46
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    • 1991
  • The purpose of this study is to develop a parking behavior model in prior step for solv-ing parking problems in Pusan C. B. D. The results of this study are as follows; In the C. B. D of Pusan the peak parking time is between 2 and 3 o'clock P. M., and the average parking duration is 237 minutes. It means the use of parking lots is very ineffi-cient. Hence in order to shorten the parking duration, it is very urgent for drivers to chan-ge parking attitude. The walking distance from the parking lots to his destination is below 300∼500m, so the establishment of parking areas and the arrangement of parking lots in C. B. D should be planned on the base of the above walking distance. The model distinguishing between legal and illegal parking behaviors is derived from the binary decision model. The selected model has the correlation rate, η2=0.505 which is relatively high value This result shows that the detetminating judgement on the legal and illegal parking behavior is influenced mutually such factors as driver's occupation parking purpose monthly income distance to his destination averaged parking duration and age.

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