• Title/Summary/Keyword: Density estimation

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Development of Sludge Concentration Estimation Method using Neuro-Fuzzy Algorithm (뉴로-퍼지 알고리즘을 이용한 슬러지 농도 추정 기법 개발)

  • Jang, Sang-Bok;Lee, Ho-Hyun;Lee, Dae-Jong;Kweon, Jin-Hee;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.2
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    • pp.119-125
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    • 2015
  • A concentration meter is widely used at purification plants, sewage treatment plants and waste water treatment plants to sort and transfer high concentration sludge and to control the amount of chemical dosage. When the strange substance is contained in the sludge, however, the attenuation of ultrasonic wave could be increased or not be transmitted to the receiver. At that case, the value of concentration meter is higher than the actual density value or vibrated up and down. It has also been difficult to automate the residuals treatment process according to the problems as sludge attachment or damage of a sensor. Multi-beam ultrasonic concentration meter has been developed to solve these problems, but the failure of the ultrasonic beam of a specific concentration measurement value degrade the performance of the entire system. This paper proposes the method to improve the accuracy of sludge concentration rate by choosing reliable sensor values and learning them by proposed algorithm. The prediction algorithm is chosen as neuro-fuzzy model, which is tested by the various experiments.

GPS-based monitoring and modeling of the ionosphere and its applications for high accuracy correction in China

  • Yunbin, Yuan;Jikun, Ou;Xingliang, Huo;Debao, Wen;Genyou, Liu;Yanji, Chai;Renggui, Yang;Xiaowen, Luo
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.2
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    • pp.203-208
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    • 2006
  • The main research conducted previously on GPS ionosphere in China is first introduced. Besides, the current investigations include as follows: (1) GPS-based spatial environmental, especially the ionosphere, monitoring, modeling and analysis, including ground/space-based GPS ionosphere electron density (IED) through occultation/tomography technologies with GPS data from global/regional network, development of a GNSS-based platform for imaging ionosphere and atmosphere (GPFIIA), and preliminary test results through performing the first 3D imaging for the IED over China, (2) The atmospheric and ionospheric modeling for GPS-based surveying, navigation and orbit determination, involving high precisely ionospheric TEC modeling for phase-based long/median range network RTK system for achieving CM-level real time positioning, next generation GNSS broadcast ionospheric time-delay algorithm required for higher correction accuracy, and orbit determination for Low-Earth-orbiter satellites using single frequency GPS receivers, and (3) Research products in applications for national significant projects: GPS-based ionospheric effects modeling for precise positioning and orbit determination applied to China's manned space-engineering, including spatial robot navigation and control and international space station intersection and docking required for related national significant projects.

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Estimation of Biomass for 27 Years Old Korean Pine (Pinus koraiensis) Plantation in Gangneung, Gangwon-Province (강릉지방 27년생 잣나무조림지의 바이오매스에 관한 연구)

  • Lee, Young-Jin;Seo, Yeon-Ok;Park, Sang-Moon;Pyo, Jung-Kee;Kim, Rae-Hyun;Son, Yeong-Mo;Lee, Kyeong-Hak;Kim, Hyung-Ho
    • Journal of agriculture & life science
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    • v.43 no.1
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    • pp.1-8
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    • 2009
  • This study was conducted to examine the biomass, allometric equations, net primary production, above and total biomass expansion factors and stem density values for 27 years old Korean pine(Pinus koraiensis Siebold et Zuccarini) plantation at the Gangneung National Forest. After considering of the diameter distributions in the $20m{\times}20m$ plot measurement, a total of 5 representative sample trees were destructively sampled to measure green weights and dry weights of the four(root, stem, branch and foliage) protions of Korean pine trees. According to the results of this study, total dry weights were 117.6 kg/tree and 59.9 ton/ha. Aboveground biomass and total (above and belowground) biomass for this species were 59.9 and 82.4 ton/ha, respectively. Ratios of root to aboveground biomass were 0.38. Net primary production of aboveground biomass and belowground biomass were 9.4 and 11.3 ton/ha, respectively. Stem density was $0.49g/cm^{3}$. Above and total biomass expansion factors were 1.78 and 2.19, repectively. This information could be very useful to calculate carbon sequestrations by applying stem desity values and biomass expansion factors for Korean pine species.

Estimation of Shear Plane at Failed Landfill Using Field and Laboratory Tests (현장 및 실내실험을 이용한 매립지 전단활동면 추정에 대한 연구)

  • Choi, Hoseong;Kim, Tae-Hyung;Kim, Sung-Wook
    • The Journal of Engineering Geology
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    • v.29 no.3
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    • pp.315-327
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    • 2019
  • Back analysis has been used to evaluate the factor of safety and circular failure plane at the landfill failure site. However, the estimated circular failure plane by back analysis is quite different from what is observed in the field. Thus, this study was conducted to estimate an actual shear failure plane inside the ground which gives a more accurate failure plane. Cone penetration test (CPT), boring test, soft X-ray image scan, density logging, and ultrasonic logging were conducted at the field and laboratory. The result of CPT showed significantly lower cone resistance, pore pressure, and undrained shear strength at a particular part. This part is a possible shear failure plane inside the ground. To validate, the soft X-ray scan images were analyzed and found the disturbed (inclined) bedding plane induced by shear activity at the estimated shear failure plane. Density and ultrasonic logging tests also found a similar result. Thus, the method in this study is possible to estimate the shear failure plane inside the ground.

Evaluation of Discharge-Water Quality Characteristics and River Grade Classification of Jinwi River Unit Basin (진위천 단위유역의 유량-수질 특성 및 하천 등급화 평가)

  • Cho, Yong-Chul;Choi, Jin-Woo;Noh, Changwan;Kwon, Phil-Sang;Kim, Sang-hun;Yu, Soonju
    • Journal of Environmental Impact Assessment
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    • v.27 no.6
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    • pp.704-716
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    • 2018
  • The aim of this study is to examine the characteristics analysis of the discharge and water quality based on TPLMS (Total Pollution Load Management System) in the Jinwi River unit basin, and to propose a management plan by selecting the point that needs improvement of water quality in order to achieve the target water quality. We evaluated the discharge and water quality characteristics, statistical analysis, daily delivery load and daily delivery density, grade classification, for 14 total pollution load site's from 2014 to 2016 year in Jinwi river unit basin. The average discharge of Jinwi river unit basin is $22.411m^3/s$ and discharge of Hwangguji River is 32.8% and the water quality characteristics along the tributary river were clarified spatially. As the result, it was analyzed that Seongeun River is an indirect indicator of organic pollutants, Gwanri River is a seasonal factor, Osan River and Hwangguji River both affect water quality. Estimation of delivered pollutant loads at the HG-3 site was 6,470.4 BOD kg/day, 6,846.7 TN kg/day and delivered pollutant loads density increased to $220.9BOD\;kg/day/km^2$, $22.4TP\;kg/day/km^2$ at the HG-4 site. This result demonstrates that the total pollution load site needed to improve water quality of the Jinwi River unit basin was HG-3 site.

The Estimation of Road Delay Factor using Urban Network Map and Real-Time Traffic Information (도로망도와 실시간 교통정보를 이용한 도로 지연계수 산정)

  • Jeon, Jeongbae;Kim, Solhee;Kwon, Sungmoon
    • Journal of Cadastre & Land InformatiX
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    • v.51 no.1
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    • pp.97-110
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    • 2021
  • This study estimated the delay factor, which is the ratio of travel time at the speed limit and travel time at the actual speed using real-time traffic information in Seoul. The actual travel speed on the road was lower than the maximum speed of the road and the travel speed was the slowest during the rush hour. As a result of accessibility analysis based on travel speed during the rush hour, the travel time at the actual speed was 37.49 minutes on average. However, the travel time at the speed limit was 15.70 minutes on average. This result indicated that the travel time at the actual speed is 2.4 times longer than that at the speed limit. In addition, this study proposedly defined the delay factor as the ratio of accessibility by the speed limit and accessibility to actual travel speed. As a result of delay factor analysis, the delay factor of Seoul was 2.44. The results by the administrative district showed that the delay factor in the north part areas of the Han River is higher than her south part areas. Analysis results after applying the relationship between road density and traffic volume showed that as the traffic volume with road density increased, the delay factor decreased. These results indicated that it could not be said that heavy traffic caused longer travel time. Therefore, follow-up research is needed based on more detailed information such as road system shape, road width, and signal system for finding the exact cause of increased travel time.

Impacts of Social Distancing for COVID-19 on Urban Space Use in Seoul (COVID-19 사회적 거리두기가 도시공간이용에 미치는 영향)

  • Park, Hong Il;Lee, Sangkyeong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.457-467
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    • 2021
  • This paper aims to analyze changes in urban space use due to social distancing measures for COVID-19 using de facto population data in Seoul during daytime, which is estimated by Seoul Metropolitan Government and telecommunication company of KT using public big data and LTE signal data. The result of kernel density estimation and spatial autocorrelation analysis shows that the distribution patterns of de facto population in 2019 and 2020 were generally similar. This is a result of showing that the government's social distancing measures enabled a certain level of normal activities while suppressing the spread of COVID-19. However, analyzing de facto population subtracting 2019 from 2020 showed different results at the micro level. De facto population decreased in commercial areas but increased in residential areas. This means that COVID-19 social distancing measures had spatially uneven effect. The results of analyzing the effect of regional, land use, economic, educational, and accessibility characteristics on the changes of de facto population using spatial regression analysis are as follows. The higher the density of commercial facilities, the more businesses subject to regulations and schools and universities that require non-face-to-face classes, the more de facto population decreased. Conversely, it was found that de facto population increased in areas with many houses and parks due to telecommuting.

Calculation of Bearing Capacity of Tapered Drilled Shafts in Cohesionless Soils Using Shape Factor (형상계수를 이용한 사질토 지반에 타설된 테이퍼말뚝의 지지력 산정)

  • Paik, Kyu-Ho;Lee, Jun-Hwan
    • Journal of the Korean Geotechnical Society
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    • v.24 no.12
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    • pp.13-22
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    • 2008
  • Fourteen calibration ehamber tests were performed using one cylindrical and two tapered piles with different taper angles to investigate the changes of the bearing capacity of tapered piles with soil state and taper angle of piles. The results of calibration chamber tests show that the ultimate base resistance of tapered piles increases with increasing mean stress and relative density of soil. It also increases with increasing taper angle for medium sand, but with decreasing taper angle for dense sand. The ultimate shaft resistance of tapered piles increases as vertical and horizontal stresses, relative density and taper angle increase. Based on the results of model pile load tests, a new design method with shape factors for estimation of the bearing capacity of tapered piles is proposed considering the effect of soil state and taper angle on bearing capacity of tapered piles. In order to check the accuracy of predictions calculated using the new method, middle-scale field pile load tests were also conducted on cylindrical and tapered drilled shafts in clayey sand. Comparison of calculated values with measured ones shows that the new design method produces satisfactory predictions tor tapered piles.

Prediction of Carbon Accumulation within Semi-Mangrove Ecosystems Using Remote Sensing and Artificial Intelligence Modeling in Jeju Island, South Korea (원격탐사와 인공지능 모델링을 활용한 제주도 지역의 준맹그로브 탄소 축적량 예측)

  • Cheolho Lee;Jongsung Lee;Chaebin Kim;Yeounsu Chu;Bora Lee
    • Ecology and Resilient Infrastructure
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    • v.10 no.4
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    • pp.161-170
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    • 2023
  • We attempted to estimate the carbon accumulation of Hibiscus hamabo and Paliurus ramosissimus, semimangroves native to Jeju Island, by remote sensing and to build an artificial intelligence model that predicts its spatial variation with climatic factors. The aboveground carbon accumulation of semi-mangroves was estimated from the aboveground biomass density (AGBD) provided by the Global Ecosystem Dynamics Investigation (GEDI) lidar upscaled using the normalized difference vegetation index (NDVI) extracted from Sentinel-2 images. In Jeju Island, carbon accumulation per unit area was 16.6 t C/ha for H. hamabo and 21.1 t C/ha for P. ramosissimus. Total carbon accumulation of semi-mangroves was estimated at 11.5 t C on the entire coast of Jeju Island. Random forest analysis was applied to predict carbon accumulation in semi-mangroves according to environmental factors. The deviation of aboveground biomass compared to the distribution area of semi-mangrove forests in Jeju Island was calculated to analyze spatial variation of biomass. The main environmental factors affecting this deviation were the precipitation of the wettest month, the maximum temperature of the warmest month, isothermality, and the mean temperature of the wettest quarter. The carbon accumulation of semi-mangroves predicted by random forest analysis in Jeju Island showed spatial variation in the range of 12.0 t C/ha - 27.6 t C/ha. The remote sensing estimation method and the artificial intelligence prediction method of carbon accumulation in this study can be used as basic data and techniques needed for the conservation and creation of mangroves as carbon sink on the Korean Peninsula.

Estimation of Representative Wave Period and Optimal Probability Density Function Using Wave Observed Data around Korean Western Coast (국내 서해안 파랑 관측자료를 이용한 대표주기 산정 및 최적 확률밀도함수 추정)

  • Uk-Jae Lee;Hong-Yeon Cho;Jin Ho Park;Dong-Hui Ko
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.35 no.6
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    • pp.146-154
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    • 2023
  • In this study, the peak wave period Tp and mean wave period T02 and Tm-1, 0, which are major parameters for classifying ocean characteristics, were calculated using water surface elevation data observed from the second west coast oceanographic and meteorological observation tower. In addition, the ratio of abnormal data, correlation analysis, and optimal probability density function were estimated. In the case of Tp among the calculated representative periods, the proportion of abnormal data was 5.73% and 0.67% at each point, and T02 was 4.35% and 0.01%. Tm-1, 0 was found to be 2.82% and 0.03%. Meanwhile, as a result of analyzing the relationship between T02 and Tp, the relationship was calculated to be 0.53 and 0.63 for each point. The relationship between Tm-1, 0 and Tp was 1.15 and 1.32, respectively, and T02, Tm-1, 0 was 1.18 and 1.22. As a result of estimating the optimal probability density function of the calculated representative period, Tp followed the 'Log-normal' and 'Normal' distributions at each point, and T02 was 'Gamma', 'Normal' distribution and Tm-1, 0 showed that 'Log-normal' and 'Normal' distribution were dominant, respectively. It is decided that these results can be used as basic data for wave analysis conducted on the west coast.