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Land Use Optimization using Genetic Algorithms - Focused on Yangpyeong-eup - (유전 알고리즘을 적용한 토지이용 최적화 배분 연구 - 양평군 양평읍 일대를 대상으로 -)

  • Park, Yoonsun;Lee, Dongkun;Yoon, Eunjoo;Mo, Yongwon;Leem, Jihun
    • Journal of Environmental Impact Assessment
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    • v.26 no.1
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    • pp.44-56
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    • 2017
  • Sustainable development is important because the ultimate objective is efficient development combining the economic, social, and environmental aspects of urban conservation. Despite Korea's rapid urbanization and economic development, the distribution of resources is inefficient, and land-use is not an exception. Land use distribution is difficult, as it requires considering a variety of purposes, whose solutions lie in a multipurpose optimization process. In this study, Yangpyeong-eup, Yangpyeong, Gyeonggi-do, is selected, as the site has ecological balance, is well-preserved, and has the potential to support population increases. Further, we have used the genetic algorithm method, as it helps to evolve solutions for complex spatial problems such as planning and distribution of land use. This study applies change to the way of mutation. With four goals and restrictions of area, spatial objectives, minimizing land use conversion, ecological conservation, maximizing economic profit, restricting area to a specific land use, and setting a fixed area, we developed an optimal planning map. No urban areas at the site needed preservation and the high urban area growth rate coincided with the optimization of purpose and maximization of economic profit. When the minimum point of the fitness score is the convergence point, we found optimization occurred approximately at 1500 generations. The results of this study can support planning at Yangpyeong-eup.ausative relationship between the perception of improving odor regulation and odor acceptance.

A Study on the Improvement of the Shift Pattern for Field Employees in Busan Container Terminal (부산항 컨테이너터미널 현장인력의 교대근무제 현황 및 개선방안에 관한 연구)

  • Nam, Do-Gi;Kim, Jong-Tae;Shin, Yong-John
    • Journal of Korea Port Economic Association
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    • v.26 no.1
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    • pp.144-171
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    • 2010
  • The purpose of this study is to propose the effective method to improve the competitive power in the Busan container terminal. To achieve this, we analyzed the present of the shift pattern in the container terminal, and identified the problems in the pattern. This study shows the issues of shift pattern for field employee in Busan container terminal and also improvement plan to solve them. We suggested two approaches as an effective approach; the flexible use of employees through overtime, use of workers pool among terminals, and outsourcing; the promotion of welfare by leisure, fitness, and community service.

The Development of Obesity Age (OA) for Health Index of Middle Aged Obese Women (중년기 비만여성에 있어서 건강지표를 위한 비만연령의 개발)

  • Lee, Dong-Jun;Park, Tae-Seop
    • Journal of Life Science
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    • v.19 no.10
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    • pp.1403-1409
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    • 2009
  • The purpose of this study was to compare Obesity Age (OA) and chronological age, to calculate Obesity Age (OA), which gauges the state of obesity, and to analyze presented factors of obesity using expectant factors on middle-aged obese women. The subjects were one hundred twenty seven middle-aged obese women ($49.6\pm7.3$ yr, BMI $29.41\pm2.9$, fat $36.8\pm4.6%$) who participated in different weight loss programs three times. The body composition, physical fitness, blood pressure and blood were measured before the weight loss programs. Informed consent was obtained from all subjects before enrollment in the study. The regression equation is as follows: (1) OAS (Obesity Age Score)=$0.106*X_1+0.035*X_2+0.048*X_3+0.041*X_4+0.003*X_5-0.037*X_6-10.667$ ($X_1$: BMI, $X_2$: weight, $X_3$: %fat, $X_4$: WC, $X_5$: TG, $X_6$: $VO_{2max}$), (2) OA (Obesity Age)=7.3*OAS+49.6*(-1), (3) Z (correction factor)=(CA-49.6)(1-0.03), (4) OAc (corrected Obesity Age)=1.03*CA-7.3*OAS+1.47. The comparison of corrected Obesity Age (OAc) and chronological age did not have any differences, and the average of the OAc was close to chronological age. The correlation coefficient between the OAc and chronological age was r=0.724 (p<0.05). The equation can be utilized for middle-aged obese women, because it could evaluate the obesity-related factors by including BMI, body weight, %fat, waist circumference, triglycerides and $VO_{2max}$.

A Study on the Relation Exchange Rate Volatility to Trading Volume of Container in Korea (환율변동성과 컨테이너물동량과의 관계)

  • Choi, Bong-Ho
    • Journal of Korea Port Economic Association
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    • v.23 no.1
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    • pp.1-18
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    • 2007
  • The purpose of this study is to examine the effect of exchange rate volatility on Trading Volume of Container of Korea, and to induce policy implication in the contex of GARCH and regression model. In order to test whether time series data is stationary and the model is fitness or not, we put in operation unit root test, cointegration test. And we apply impulse response functions and variance decomposition to the structural model to estimate dynamic short run behavior of variables. The major empirical results of the study show that the increase in exchange rate volatility exerts a significant negative effect on Trading Volume of Container in long run. The results Granger causality based on an error correction model indicate that uni-directional causality between trading volume of container and exchange rate volatility is detected. This study applies impulse response function and variance decompositions to get additional information regarding the Trading Volume of Container to shocks in exchange rate volatility. The results indicate that the impact of exchange rate volatility on Trading Volume of Container is negative and converges on a stable negative equilibrium in short-run. Th exchange rate volatility have a large impact on variance of Trading Volume of Container, the effect of exchange rate volatility is small in very short run but become larger with time. We can infer policy suggestion as follows; we must make a stable policy of exchange rate to get more Trading Volume of Container

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The Effects of Screw Retained Prosthesis Misfit & Cantilever on Stress Distribution in Bone Around the Implant (나사유지형 임플란트 고정성 보철물의 적합도와 캔틸레버가 지지골조직의 응력분산에 미치는 영향)

  • Lee, Jae-In;Kim, Tae-Young;Cho, Hye-Won
    • Journal of Dental Rehabilitation and Applied Science
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    • v.29 no.3
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    • pp.224-235
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    • 2013
  • A passively fitting prosthesis is an essential prerequisite to attain long-lasting success and maintenance of osseointegration. However, true "passive fit" can not be achieved with the present implant-supported prosthesis fabrication protocol. Many clinical situations are suitably treated with cantilevered implant-supported fixed restorations. The purpose of this study was to compare the stress distribution pattern and magnitude in supporting tissues around ITI implants with cantilevered, implant-supported, screw-retained fixed prosthesis according to the fitness of superstructures. Photoelastic model was made with PL-2 resin (Measurements, Raleigh, USA) and three ITI implants (${\phi}4.1{\times}10mm$) were placed in the mandibular posterior edentulous area distal to the canine. Anterior and posterior extended 4-unit cantilevered FPDs were made with different misfit in the superstructures. 4 types of prosthesis were made by placing a $100{\mu}m$ gap between the abutment and the crown on the second premolar and/or the first molar. Photoelastic stress analysis were carried out to measure the fringe order around the implant supporting structure under simulated loading conditions (30 lb).

Validation of the Scale of Attitudes towards Disabled Person(SADP and ATDP-O) in Korea (장애인에 대한 태도 측정도구(SADP and ATDP-O)의 타당도 검증)

  • Shin, Eun-Kyung;Lee, Han-Na
    • Korean Journal of Social Welfare
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    • v.63 no.1
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    • pp.267-289
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    • 2011
  • The purpose of the present study was to develop a Korean version of the scale of attitudes for disabled Persons and attitudes towards disabled person-original by translating and modifying the scale proposed by Antonak(1982). In order to test validation, this study was focused on processing survey and statistic data analysis and tried to find a way to applicate in Korea. The data were collected from 500 non-disabled persons divided into two groups, which were consist of target group (public officials, health care providers, teachers, journalists and rehabilitation facility staffs) and general group. Based on the descriptive analysis, exploratory factor analysis and confirmatory factor analysis of the data, validity and reliability were examined. Also to find the statistic significant difference on attitudes towards disabled person between target group and general group, t-test was proceed. The result of the exploratory factor analysis drew 15 items representing 3 factors (Pessimism-Stereotype, Optimism-Human Rights, Derogatory Personality Stereotype). A confirmatory factor analysis results provided the construct validity of this scale as good and reasonable fitness. Cronbach's alpha ranged from .67 to .85 showed internal consistencies of the sub-scales. The subscales were significantly correlated with convergent with DFS(Disability Factor Scale) variables. And the target group had more positive attitudes toward disabled person than general group. It is suggested this scale more suitable for various disability types be elaborated, and get a practical implication on attitudes towards disabled person.

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The Analysis for the determinant Factors on the Outcome of Technology Innovation Among Small and Medium Manufacturers (중소 제조기업의 기술혁신 성과 결정 요인에 관한 분석)

  • You, Yen-Yoo;Roh, Jae-Whak
    • The Journal of Society for e-Business Studies
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    • v.15 no.1
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    • pp.61-87
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    • 2010
  • This study is based on the analysis of technology innovation performance for Inno-biz. The primary purposes of this study are to help the government formulate Inno-biz related supporting policies and improve the fitness of evaluation models for Inno-biz. In this study the definition of "the outcome of technology innovation" includes technology competitiveness changes, technology forecasting as well as the outcome of technology innovation. For this analysis, 55 independent variables were used and categorized into ability of technology innovation, ability of commercialization, and ability of technology management. The results indicate that all three variable groups have positively influenced the outcome of technology innovation. Especially ability of technology innovation is highly related to technology competitiveness and business in future. The ability of commercialization enhances technology competitiveness and predictability in major business indexes; however it doesn't influence business performance in a short-term period. The ability of technology management enables businesses to forecast technology changes, but doesn't effect short-term business outcomes.

Predictive Modeling of Dental Pain Factors Using Neural Network Model (신경망 모델을 이용한 치통발생 예측 모형에 관한 연구)

  • Kim, Eun-Yeob;Lim, Kun-Ok
    • Journal of dental hygiene science
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    • v.9 no.2
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    • pp.181-187
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    • 2009
  • Oral diseases may hinder people from living a healthy life by causing obstacles in the nutrition supply of the human body. This study aims at the found out the eating habits and recognition factors of people who are currently suffering from denial pain, and made a predictive modeling using neural network, which is a data mining. The oral health condition for maintaining and improving oral health has been examined and analyzed through a survey and the groups were divided based on the presence and the absence of dental pain. This study observed on eating habits, exercise and oral habits. The study results of neural network modeling input parameter was selected significant survival factors. As a result of making a predictive modeling using the neural network, the fitness of the predictive modeling of dental pain factors was 88.7%. As for the people who are likely to experience dental pain predicted by the neural network model, preventive measures including proper eating habits, education on oral hygiene, and stress release must precede any dental treatment.

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A Study on the Analysis of Dangerous Driving Behavior and Traffic Accident Risk according to the Operation Characteristics of Commercial Freight Vehicles (사업용 화물자동차 운행특성에 따른 위험운전행동 및 교통사고 위험도 분석 연구)

  • Park, Jin soo;Lee, Soo beom;Park, Jun tae
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.152-166
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    • 2022
  • This study analyzed the causal relationship among operating characteristics of commercial freight vehicles, dangerous driving behaviors, and traffic accident risk. The study applied the existing accident cause and prevention theory to arrive at this relationship. Data related to working characteristics of driver, driving experience, driving ability, driving psychology, vehicle characteristics (size), dangerous driving behavior, and traffic accidents were collected from 303 commercial freight vehicle drivers. Working characteristics and dangerous driving behavior data are based on the driver's digital driving record. The traffic accident data is based on the insurance accident data reflecting actual traffic accidents. First, a structural equation model was built and verified using the model fitness index. Then, the developed model was used to analyze the causal relationship between multiple independent and dependent variables simultaneously. Four dangerous driving behaviors (sudden deceleration, sudden acceleration, sudden passing, and sudden stop) were found to be highly related to traffic accidents. The results further indicate that it is necessary to establish a safety management policy and intensive management for small-sized freight vehicles, drivers with insufficient driving ability, and drivers with dangerous driving behaviors. Such policy and management are expected to reduce traffic accidents effectively.

Evaluating and predicting net energy value of wheat and wheat bran for broiler chickens

  • Ning, Ran;Cheng, Zichen;Liu, Xingbo;Ban, Zhibin;Guo, Yuming;Nie, Wei
    • Animal Bioscience
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    • v.35 no.11
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    • pp.1760-1770
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    • 2022
  • Objective: It is crucial to accurately determine the net energy (NE) values of feed ingredients because the NE system is expected to be applied to the formulation of broilers feed. The NE values of 5 wheat and 5 wheat brans were determined in 12-to 14-day old Arbor Acres (AA) broilers with substitution method and indirect calorimetry method. Methods: A total of 12 diets, including 2 reference diets (REF) and 10 test diets (5 wheat diets and 5 wheat bran diets) containing 30% of test ingredients, were randomly fed to 864 male AA birds with 6 replicates of 12 birds per treatment. These birds were used to determine metabolizable energy (ME) (8 birds per replicate) in the chicken house and NE (4 birds per replicate) in the chamber respectively at the same time. After a 4-d dietary and environment adaptation period, growth performance, energy values, energy balance and energy utilization were measured during the following 3 d. Multiple linear regression analyses were further performed to generate prediction equations for NE values based on the chemical components and ME values. The NE prediction equation were also validated on another wheat diet and another wheat bran diet with high correlation (r = 0.98, r = 0.75). Results: The NE values of 5 wheat and 5 wheat bran samples are 9.34, 10.02, 10.27, 11.33, and 10.49 MJ/kg, and 5.37, 5.17, 4.87, 5.06, and 4.88 MJ/kg DM, respectively. The equation with the best fit were NE = 1.968AME-0.411×ADF-14.227 (for wheat) and NE = -0.382×CF-0.362×CP-0.244×ADF+20.870 (for wheat bran). Conclusion: The mean NE values of wheat and wheat bran are 10.29 and 5.07 MJ/kg DM in AA broilers. The NE values of ingredients could be predicted by their chemical composition and energy value with good fitness.