• Title/Summary/Keyword: Design population

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Estimation of Design Population and Design Wastewater Flow Rate for the BTO Project of Wastewater Treatment Facilities (하수종말처리시설 민간투자사업을 위한 계획 인구 및 계획 하수량 추정)

  • Son, Young-Gyu;Lee, So-Young;Kim, Lee-Hyung;Khim, Jee-Hyeong
    • Journal of the Korean Society of Hazard Mitigation
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    • v.8 no.1
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    • pp.145-151
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    • 2008
  • A novel method was suggested for the estimation of design population and design wastewater flow rate in fishing and agrarian village. Even though the population was decreasing continuously in this area, the design population was considered as constant with the passage of the time in conventional methods. And although the portion of groundwater uses was pretty high, the design wastewater flow rate was determined by the supply amount of tap water. Consequently, the design population and the design wastewater flow rate were overestimated. To prevent these overestimates, the design population was predicted to decrease gradually using the population trends from Korea National Statistical Office, and the design wastewater flow rate was determined using the way that the supply amount of tap water was applied in developed areas and the supply amount of groundwater was used in undeveloped areas.

Biofilter Treatment of Waste Air Containing Malodor and VOC: 1. Pressure Drop and Microbe-population Distribution of Biofilter with Improved Design (악취 및 VOC를 함유한 폐가스의 바이오필터 처리: 1. 개선된 바이오필터설계에 의한 압력강하와 미생물 population 분포)

  • Lee, Eun Ju;Lim, Kwang-Hee
    • Korean Chemical Engineering Research
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    • v.51 no.1
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    • pp.127-135
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    • 2013
  • In this study, both pressure drop and microbe-population-distribution were observed while running a novel biofilter system with improved design in which the biofilter system is composed of two, upper and lower biofilters with both equal feed-rates of up-flow and down-flow, respectively. Then they were compared with the pressure drop and microbe-population-distribution observed in a conventional biofilter of the same effective volume with unidirectional flow. The pressure drop-value of biofilter system with improved design turned out to be less at the incipient stage of run or steady-state long term operation by more than 40~80% of that of the conventional biofilter. The microbe-population-distribution was observed to be lower and higher at higher and lower column of biofilter, respectively, for both the conventional biofilter and the biofilter system with improved design. The microbe-media of waste-tire crumb showed much greater CFU counts than GAC. In the biofilter system with improved design, the $bottom{\rightarrow}up$ feeding of waste air showed greater microbe-population growth than the $top{\rightarrow}down$ feeding for both the microbe-media of waste-tire crumb and GAC. However, it was more prominent for the former than the latter. Comparing the microbe-population-distributions of both of the conventional biofilter and the biofilter system with improved design, the microbe-population of latter was distributed ca. 15 and 2.5 times more evenly for GAC and the media of waste-tire crumb, respectively, than that of former.

Estimation of Population Growth Rate using Jolly-Seber Method and Robust Design

  • Kim, Jihye;Hong, Taekyong;Choi, JinSik;Namkung, Pyong
    • Communications for Statistical Applications and Methods
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    • v.10 no.3
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    • pp.919-930
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    • 2003
  • Mark-Recapture method for open population commonly use Jolly-Seber method. This method assumes that all animals are equally likely to be caught in each sample (the equal catchability). This objects are making introduction of Mark-Recapture method for open population and using the robust design that combine a open population method with close population method to solve upper problems. Then population growth rate estimators that are derived Pollock's Jolly-Seber parameters and Kendall's Jolly-Seber parameters are estimated.

Machine Learning Based Architecture and Urban Data Analysis - Construction of Floating Population Model Using Deep Learning - (머신러닝을 통한 건축 도시 데이터 분석의 기초적 연구 - 딥러닝을 이용한 유동인구 모델 구축 -)

  • Shin, Dong-Youn
    • Journal of KIBIM
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    • v.9 no.1
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    • pp.22-31
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    • 2019
  • In this paper, we construct a prototype model for city data prediction by using time series data of floating population, and use machine learning to analyze urban data of complex structure. A correlation prediction model was constructed using three of the 10 data (total flow population, male flow population, and Monday flow population), and the result was compared with the actual data. The results of the accuracy were evaluated. The results of this study show that the predicted model of the floating population predicts the correlation between the predicted floating population and the current state of commerce. It is expected that it will help efficient and objective design in the planning stages of architecture, landscape, and urban areas such as tree environment design and layout of trails. Also, it is expected that the dynamic population prediction using multivariate time series data and collected location data will be able to perform integrated simulation with time series data of various fields.

Model-Based Prediction of the Population Proportion and Distribution Function Using a Logistic Regression

  • Park, Min-Gue
    • Communications for Statistical Applications and Methods
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    • v.15 no.5
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    • pp.783-791
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    • 2008
  • Estimation procedure of the finite population proportion and distribution function is considered. Based on a logistic regression model, an approximately model- optimal estimator is defined and conditions for the estimator to be design-consistent are given. Simulation study shows that the model-optimal design-consistent estimator defined under a logistic regression model performs well in estimating the finite population distribution function.

An Estimation Method of Representative Humanoids for Digital Human Simulation

  • Jung, Kihyo
    • Journal of the Ergonomics Society of Korea
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    • v.32 no.3
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    • pp.237-243
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    • 2013
  • Objective: The present study developed an estimation method of boundary zone representative humanoids(hereafter, EBZ method) using descriptive statistics on the design target population. Background: The boundary zone method(hereafter, BZ method) generates representative humanoids at a boundary zone that statistically accommodates a designated percent of the design target population; however, the BZ method has a practical limitation because it requires a large scale anthropometric database on the design target population. Method: The EBZ method developed in the present study consisted of 3 steps. In the first step, the boundary zone of accommodating a designated percent(e.g., 90%) is formed under the assumption of normal distributions for anthropometric sizes. In the second step, cases that fall within the boundary zone are estimated using descriptive statistics(mean, standard deviation, and covariance) on the design target population. In the last step, K-mean cluster analysis is conducted for the cases, and representative humanoids are selected from each of clusters. Results: Evaluation results showed that mean accommodation percent of the EBZ method was 90.9%(range: 90.8~91.1%) which is similar to the target percent(90%). In addition, standard deviation of accommodation percent for 100 repetitions was 0.1%. Lastly, the number of representative humanoids generated by the EBZ method(n = 20) was similar to the BZ method(n = 16). Conclusion: The EBZ method can generate representative humanoids which accommodate a designated percent of the design target population using descriptive statistics. Application: The EBZ method can be utilized in the generation of humanoids for ergonomic design and evaluation of products when the large scale anthropometric database on the design target population is not existed.

Optimal Design of Dynamic System Using a Genetic Algorithm(GA) (유전자 알고리듬을 이용한 동역학적 구조물의 최적설계)

  • Hwang, Sang-Moon;Seong, Hwal-Gyeong
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.1 s.94
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    • pp.116-124
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    • 1999
  • In most conventional design optimization of dynamic system, design sensitivities are utilized. However, design sensitivities based optimization method has numbers of drawback. First, computing design sensitivities for dynamic system is mathematically difficult, and almost impossible for many complex problems as well. Second, local optimum is obtained. On the other hand, Genetic Algorithm is the search technique based on the performance of system, not on the design sensitivities. It is the search algorithm based on the mechanics of natural selection and natural genetics. GA search, differing from conventional search techniques, starts with an initial set of random solutions called a population. Each individual in the population is called a chromosome, representing a solution to the problem at hand. The chromosomes evolve through successive iterations, called generations. As the generation is repeated, the fitness values of chromosomes were maximized, and design parameters converge to the optimal. In this study, Genetic Algorithm is applied to the actual dynamic optimization problems, to determine the optimal design parameters of the dynamic system.

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ASSESSING POPULATION BIOEQUIVALENCE IN A $2{\times}2$ CROSSOVER DESIGN WITH CARRYOVER EFFECT IN A BAYESIAN PERSPECTIVE

  • Oh Hyun-Sook
    • Journal of the Korean Statistical Society
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    • v.35 no.3
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    • pp.239-250
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    • 2006
  • A $2{\times}2$ crossover design including carryover effect is considered for assessment of population bioequivalence of two drug formulations in a Bayesian framework. In classical analysis, it is complex to deal with the carryover effect since the estimate of the drug effect is biased in the presence of a carryover effect. The proposed method in this article uses uninformative priors and vague proper priors for objectiveness of priors and the posterior probability distribution of the parameters of interest is derived with given priors. The posterior probabilities of the hypotheses for assessing population bioequivalence are evaluated based on a Markov chain Monte Carlo simulation method. An example with real data set is given for illustration.

Design Flow Velocity Changes According to the Design Flow Determination Methods in the Sanitary Sewer (오수관 설계유량 산정법이 설계유속에 미치는 영향)

  • Hyun, In-hwan;Won, Seung-hyun;Kim, Hyung-jun;Lee, Che-in
    • Journal of Korean Society of Water and Wastewater
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    • v.19 no.6
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    • pp.749-757
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    • 2005
  • The present study analyzed actual cases of designed flow estimation method and designed flow rate of sewage pipe lines. In order to examine the effects of peak-hour demand factor estimation with given daily highest peak loading, we analyzed its effects on designed flow rate with changing the peak-hour demand factor from 2.0 to 10.0. The results of this study are as follows. When reviewing the recent designs, we found that 59.4% of pipe line with 250mm and 300mm diameter, which fall under minimum allowable pipeline did not meet the minimum velocity which is specified as 0.6m/sec in design standards. The pipe line that have minimal access population or have very low slope did not satisfy the minimum velocity. In estimating the designed sewage flow, the applied daily highest peak loading and hourly highest peaking loading were the load factor for the entire population of the planned area, and for the peak loading of the initial pipes connected to a very small population, we applied the same factor as that applied to the entire area and, as a result, the hourly highest flow was underestimated. Because, in case of the initial pipes, the method of applying the same peak loading to all subject areas is highly possible to produce underestimated design flow, when estimating the designed flow of the initial pipes connected to a small population need to adopt a rational flow factor according to the size of population. For this, it is considered to investigate and analyze raw data on daily and hourly variation of sewage flow.

The Design Characteristics of homelike Elderly Housing Facilities (내 집과 같은 노인 시설주거 디자인 특성에 관한 연구 (I) -미국의 노인 서비스주거 시설을 중심으로-)

  • 신영숙
    • Journal of the Korean Home Economics Association
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    • v.38 no.11
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    • pp.165-179
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    • 2000
  • Korean population patters has become so called aged society by this July through the aged composed over 7% in whole population. It is worldly concern how can increase elderly people’s life satisfaction by providing homelike elderly housing facilities. The purpose of this study was to investigate the meaning of home, how to express the homelike characteristics into physical design and identify their housing satisfaction. The results were discussed and design ideas were suggested.

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