• 제목/요약/키워드: Modeling quality

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The Impact of Information System Quality and Media Quality on the Intention to Use IPTV

  • Lee, Dong-Man;Chae, Young-Su;Lee, Young-Ki;Choi, Moon-Jong;Jang, Sung-Hee
    • Journal of information and communication convergence engineering
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    • 제10권1호
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    • pp.71-77
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    • 2012
  • This study examines the factors influencing internet protocol television (IPTV) usage intention. Using Davis's technology acceptance model (TAM) and DeLone and McLean's model of information system success, this study investigates the effects of information system quality (information quality, system quality, and service quality) and media quality on IPTV use in terms of perceived usefulness, perceived ease of use, and usage intention. We examined the proposed model by employing structural equation modeling and survey data from 222 IPTV users. The results indicate that information quality, service quality, and media quality had significant effects on perceived usefulness and that information quality and media quality had significant effects on perceived ease of use. However, system quality had no effect on perceived usefulness or perceived ease of use. In addition, perceived ease of use influenced perceived usefulness, and perceived usefulness and perceived ease of use influenced IPTV usage intention. Further, the stability and reliability of IPTV services encouraged IPTV use, and successful IPTV services showed high media quality.

점군집 데이터를 이용한 곡면객체 모델링 및 정확도 분석 (Curved Feature Modeling and Accuracy Analysis Using Point Cloud Data)

  • 이대건;유은진;이동천
    • 한국측량학회지
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    • 제34권3호
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    • pp.243-251
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    • 2016
  • 일반적으로 라이다 데이터 처리 과정은 노이즈 제거, 지표면/비지표면 분리를 위한 필터링, 데이터 분류, 객체분할, 형태인식, 객체 모델링, 성과물에 대한 정확도 검증 등이다. 본 논문은 점군집 라이다 데이터를 이용한 3차원 곡면객체의 모델링과 정확도 검증에 중점을 두고 있다. 기존의 구형 및 원통형 객체 모델링 방법은 함수의 선형화, 미지계수의 초기 근사값 및 반복 계산이 요구되지만, 제안한 방법은 모델링 함수의 미지계수를 직접 결정하는 방법이다. 이를 위하여 객체를 형성하는 단위 객체면 형태를 분석하여 적합한 함수를 결정하고, 함수를 구성하는 미지변수를 추정한 후 정확도를 분석하여 타당성을 검증하였다. 제안한 방법을 반구형 및 반원통의 시뮬레이션 및 실제 건물 데이터에 적용하여 모델링 함수의 계수와 정확도를 산정하였으며, 다양한 형태의 객체 모델링의 자동화에 기여할 것으로 판단된다.

담수호의 수질예측 및 부영양화 방지에 관한 연구 (A Study on Water Quality Modeling and Control of Eutrophication for Estuary Reservoir)

  • 권순국;유명진;방기웅;고덕구
    • 대한토목학회논문집
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    • 제10권4호
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    • pp.159-171
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    • 1990
  • 본 연구의 목적은 담수호에 적합한 Multiple Box모형을 개발, 적용하여 장기 수질예측을 할 수 있도록 하므로써 담수호에서의 수질관리 방안을 제시하는데 있다. 모형은 수문 부모형과 수질 부모형으로 구성되어 있으며, 수질 부모형에서 고려한 수질항목은 수온, Chlorophyll-a, BOD, DO, N과 P 등이었다. 본 모형의 적용은 아산호를 대상으로 시행하였으며, 호의 수문환경조건을 고려하여 호를 상층은 2개의 Box, 하층은 1개의 Box 등 총 3개의 box로 분할하였다. 수질예측모형을 아산호에 적용한 결과 대체로 장기적 수질변화추세를 잘 나타내고 있는 것으로 평가되었다. 개발된 수질모형의 미래의 오염부하량을 입력하여 수질개선 방안들을 비교한 결과, Chlorophyll-a의 경우 무린세제의 도입이, BOD와 T-N의 경우 고도하수처리시, T-P의 경우 축산폐수의 저감시 각각 효과가 큰 것으로 평가되었다.

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GIS와 RS를 이용한 목현천 수질관리 정보체계 (A Water Quality Management System at Mokhyun Stream Watershed Using GIS and RS)

  • 이인수;이규석
    • 환경영향평가
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    • 제8권4호
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    • pp.1-12
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    • 1999
  • 본 연구의 목적은 지리정보시스템과 원격탐사를 이용하여 체계적이고 효율적인 수질관리 자료기반을 구축하고, 유역의 오염부하를 산정하여 장래의 수질을 예측할 수 있는 수질관리시스템을 구축하는데 있다. 수질관리를 위해서는 오염물질의 최적처리 등의 기술적 측면뿐만 아니라 수질환경에 관한 정확한 정보의 취득과 관리가 필요하다. 본 연구에서는 지형 및 속성정보의 입력 및 편집을 위해 ArcView 3.1을 사용하였으며, Avenue Script를 이용하여 사용자환경을 갖추도록 하였다. 또한, 토지피복분류를 위하여 20m 해상도의 SPOT XS영상을 대상으로 PCI 소프트웨어를 이용하여 분석하였다. 수질관리시스템은 데이터베이스 보조시스템과 Modeling 보조시스템으로 구성된다. 데이터베이스 보조시스템은 수치지형도에서 추출한 수치표고모델에서 분석한 유역분할도, 위성영상자료, 정부보고서, 통계자료들로 구성되며, Modeling 보조시스템은 강우 시와 비강우시의 유역의 오염부하량을 산정하고 수질예측을 하는 SPLM(Storm Pollutant Loading Model)과 NSPLM(Non-Storm Polutant Loading Model)으로 구성된다. 각각의 보조시스템은 그래픽 출력 부분과 결합하여 분석결과 및 유역현황을 표시하도록 설계되었다. 개발된 수질관리 시스템은 경기도 광주군 광주읍에 위치한 목현천 유역을 대상으로 적용되고 수정되었다.

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Air pollution study using factor analysis and univariate Box-Jenkins modeling for the northwest of Tehran

  • Asadollahfardi, Gholamreza;Zamanian, Mehran;Mirmohammadi, Mohsen;Asadi, Mohsen;Tameh, Fatemeh Izadi
    • Advances in environmental research
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    • 제4권4호
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    • pp.233-246
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    • 2015
  • High amounts of air pollution in crowded urban areas are always considered as one of the major environmental challenges especially in developing countries. Despite the errors in air pollution prediction, the forecasting of future data helps air quality management make decisions promptly and properly. We studied the air quality of the Aqdasiyeh location in Tehran using factor analysis and the Box-Jenkins time series methods. The Air Quality Control Company (AQCC) of the Municipality of Tehran monitors seven daily air quality parameters, including carbon monoxide (CO), Nitrogen Monoxide (NO), Nitrogen dioxide ($NO_2$), $NO_x$, ozone ($O_3$), particulate matter ($PM_{10}$) and sulfur dioxide ($SO_2$). We applied the AQCC data for our study. According to the results of the factor analysis, the air quality parameters were divided into two factors. The first factor included CO, $NO_2$, NO, $NO_x$, and $O_3$, and the second was $SO_2$ and $PM_{10}$. Subsequently, the Box- Jenkins time series was applied to the two mentioned factors. The results of the statistical testing and comparison of the factor data with the predicted data indicated Auto Regressive Integrated Moving Average (0, 0, 1) was appropriate for the first factor, and ARIMA (1, 0, 1) was proper for the second one. The coefficient of determination between the factor data and the predicted data for both models were 0.98 and 0.983 which may indicate the accuracy of the models. The application of these methods could be beneficial for the reduction of developing numbers of mathematical modeling.

WASP5 & WASP Builder을 이용한 농업용저수지 유역의 수질관리 (Water Quality Management using WASPS & WASP Builder for a Basin of an Agricultural Reservoir)

  • 정팔진;고홍석;현미희;이은주
    • 한국물환경학회지
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    • 제20권5호
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    • pp.422-431
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    • 2004
  • Water quality modeling was performed for the purpose of diagnosis and prediction of water quality in Gyoung Choen reservoir, using EUTR05/WASP Build model. WASP Builder is capable of visual display in window and it has an advantage of updating and modification for data. Field data of 1992, Spring, Summer, and Fall, were used to calibrate model and these results were validated using data of 2000, Spring, Summer, and Fall. The reservoir was divided into 4 epilimnion segments. Water quality system for modeling were consist of BOD, Chlorophyll-a, DO, $NH_3-N$, $NO_3-N$, T-N, $PO_4-P$, T-P. The results of water quality modelling using EUTR05/WASP Builder, a range of the Correlation for calibration of BOD, T-N, T-P, and Chlorophyll-a according to three seasons are 0.63~0.90, 0.81~0.97, 0.75~0.98, and 0.77~0.98 respectively. And the correlation between simulated and observed values for verification of BOD, T-N, T-P, and Chlorophyll-a according to three seasons are 0.93, 0.94, 0.81, and 0.80 respectively. Among the pollutant sources for a basin of the Gyoung Choen reservoir, generated amount of livestock is the highest and BOD, T-N, T-P of generated loading percentage are 94%, 81%, and 95%. So, we suppose that inflow load amount will decrease 50% and increase 50% only livestock about current load amount. If increasing load amount of livestock 50% in segment 2 and 3, BOD, T-N, and T-P simulated increasing to range of $0.02~0.15mg/{\ell}$, $0.029~0.08mg/{\ell}$, $0.011~0.029mg/{\ell}$ in comparison with current water quality

새만금호 수질예측 모의를 위한 EFDC 모형의 평가 (Evaluation of EFDC for the Simulations of Water Quality in Saemangeum Reservoir)

  • 전지혜;정세웅;박형석;장정렬
    • 한국물환경학회지
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    • 제27권4호
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    • pp.445-460
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    • 2011
  • The objective of this study was to construct and assess the applicability of the EFDC model for Saemangeum Reservoir as a 3D hydrodynamic and water quality modeling tool that is necessary for the effective management of water quality and establishment of conservation measures. The model grids for both reservoir system only and reservoir-ocean system were created using the most recent survey data to compare the effects of different downstream boundary conditions. The model was applied for the simulations of temperature, salinity, water quality variables including chemical oxygen demand (COD), chlorophyll-a (Chl-a), phosphorus and nitrogen species and algal biomass, and validated using the field data obtained in 2008. Although the model reasonably represented the temporal and spatial variations of the state variables in the reservoir with limited boundary forcing data, the salinity level was underestimated in the middle and upstream of the reservoir when the flow data were used at downstream boundaries; Sinsi and Garyuk Gates. In turn, the error caused to increase the bias of water quality simulations, and inaccurate simulation of density flow regime of river inflow during flood events. It is likely because of the loss of momentum of sea water intrusion at downstream boundaries. In contrast to flow boundary conditions, the mixing between sea water and freshwater was well reproduced when open water boundary condition was applied. Thus, it is required to improve the downstream boundary conditions that can accommodate the real operations of the sluice gates.