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model</title> <meta name="description" content="Search results for: calibration model"> <meta name="keywords" content="calibration model"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="calibration model"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 17007</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: calibration model</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">17007</span> A Calibration Device for Force-Torque Sensors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nicolay%20Zarutskiy">Nicolay Zarutskiy</a>, <a href="https://publications.waset.org/abstracts/search?q=Roman%20Bulkin"> Roman Bulkin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper deals with the existing methods of force-torque sensor calibration with a number of components from one to six, analyzed their advantages and disadvantages, the necessity of introduction of a calibration method. Calibration method and its constructive realization are also described here. A calibration method allows performing automated force-torque sensor calibration both with selected components of the main vector of forces and moments and with complex loading. Thus, two main advantages of the proposed calibration method are achieved: the automation of the calibration process and universality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automation" title="automation">automation</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration" title=" calibration"> calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration%20device" title=" calibration device"> calibration device</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration%20method" title=" calibration method"> calibration method</a>, <a href="https://publications.waset.org/abstracts/search?q=force-torque%20sensors" title=" force-torque sensors"> force-torque sensors</a> </p> <a href="https://publications.waset.org/abstracts/50156/a-calibration-device-for-force-torque-sensors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50156.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">646</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">17006</span> A Calibration Method of Portable Coordinate Measuring Arm Using Bar Gauge with Cone Holes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rim%20Chang%20Hyon">Rim Chang Hyon</a>, <a href="https://publications.waset.org/abstracts/search?q=Song%20Hak%20Jin"> Song Hak Jin</a>, <a href="https://publications.waset.org/abstracts/search?q=Song%20Kwang%20Hyok"> Song Kwang Hyok</a>, <a href="https://publications.waset.org/abstracts/search?q=Jong%20Ki%20Hun"> Jong Ki Hun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The calibration of the articulated arm coordinate measuring machine (AACMM) is key to improving calibration accuracy and saving calibration time. To reduce the time consumed for calibration, we should choose the proper calibration gauges and develop a reasonable calibration method. In addition, we should get the exact optimal solution by accurately removing the rough errors within the experimental data. In this paper, we present a calibration method of the portable coordinate measuring arm (PCMA) using the 1.2m long bar guage with cone-holes. First, we determine the locations of the bar gauge and establish an optimal objective function for identifying the structural parameter errors. Next, we make a mathematical model of the calibration algorithm and present a new mathematical method to remove the rough errors within calibration data. Finally, we find the optimal solution to identify the kinematic parameter errors by using Levenberg-Marquardt algorithm. The experimental results show that our calibration method is very effective in saving the calibration time and improving the calibration accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AACMM" title="AACMM">AACMM</a>, <a href="https://publications.waset.org/abstracts/search?q=kinematic%20model" title=" kinematic model"> kinematic model</a>, <a href="https://publications.waset.org/abstracts/search?q=parameter%20identify" title=" parameter identify"> parameter identify</a>, <a href="https://publications.waset.org/abstracts/search?q=measurement%20accuracy" title=" measurement accuracy"> measurement accuracy</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration" title=" calibration"> calibration</a> </p> <a href="https://publications.waset.org/abstracts/179064/a-calibration-method-of-portable-coordinate-measuring-arm-using-bar-gauge-with-cone-holes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179064.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">83</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">17005</span> On-Line Data-Driven Multivariate Statistical Prediction Approach to Production Monitoring</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hyun-Woo%20Cho">Hyun-Woo Cho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Detection of incipient abnormal events in production processes is important to improve safety and reliability of manufacturing operations and reduce losses caused by failures. The construction of calibration models for predicting faulty conditions is quite essential in making decisions on when to perform preventive maintenance. This paper presents a multivariate calibration monitoring approach based on the statistical analysis of process measurement data. The calibration model is used to predict faulty conditions from historical reference data. This approach utilizes variable selection techniques, and the predictive performance of several prediction methods are evaluated using real data. The results shows that the calibration model based on supervised probabilistic model yielded best performance in this work. By adopting a proper variable selection scheme in calibration models, the prediction performance can be improved by excluding non-informative variables from their model building steps. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=calibration%20model" title="calibration model">calibration model</a>, <a href="https://publications.waset.org/abstracts/search?q=monitoring" title=" monitoring"> monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20improvement" title=" quality improvement"> quality improvement</a>, <a href="https://publications.waset.org/abstracts/search?q=feature%20selection" title=" feature selection"> feature selection</a> </p> <a href="https://publications.waset.org/abstracts/10797/on-line-data-driven-multivariate-statistical-prediction-approach-to-production-monitoring" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10797.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">356</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">17004</span> Method of Parameter Calibration for Error Term in Stochastic User Equilibrium Traffic Assignment Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xiang%20Zhang">Xiang Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Rey"> David Rey</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Travis%20Waller"> S. Travis Waller</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Stochastic User Equilibrium (SUE) model is a widely used traffic assignment model in transportation planning, which is regarded more advanced than Deterministic User Equilibrium (DUE) model. However, a problem exists that the performance of the SUE model depends on its error term parameter. The objective of this paper is to propose a systematic method of determining the appropriate error term parameter value for the SUE model. First, the significance of the parameter is explored through a numerical example. Second, the parameter calibration method is developed based on the Logit-based route choice model. The calibration process is realized through multiple nonlinear regression, using sequential quadratic programming combined with least square method. Finally, case analysis is conducted to demonstrate the application of the calibration process and validate the better performance of the SUE model calibrated by the proposed method compared to the SUE models under other parameter values and the DUE model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=parameter%20calibration" title="parameter calibration">parameter calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=sequential%20quadratic%20programming" title=" sequential quadratic programming"> sequential quadratic programming</a>, <a href="https://publications.waset.org/abstracts/search?q=stochastic%20user%20equilibrium" title=" stochastic user equilibrium"> stochastic user equilibrium</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20assignment" title=" traffic assignment"> traffic assignment</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20planning" title=" transportation planning"> transportation planning</a> </p> <a href="https://publications.waset.org/abstracts/17091/method-of-parameter-calibration-for-error-term-in-stochastic-user-equilibrium-traffic-assignment-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17091.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">299</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">17003</span> Improvement of Camera Calibration Based on the Relationship between Focal Length and Aberration Coefficient</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Guorong%20Sui">Guorong Sui</a>, <a href="https://publications.waset.org/abstracts/search?q=Xingwei%20Jia"> Xingwei Jia</a>, <a href="https://publications.waset.org/abstracts/search?q=Chenhui%20Yin"> Chenhui Yin</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiumin%20Gao"> Xiumin Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the processing of camera-based high precision and non-contact measurement, the geometric-optical aberration is always inevitably disturbing the measuring system. Moreover, the aberration is different with the different focal length, which will increase the difficulties of the system’s calibration. Therefore, to understand the relationship between the focal length as a function of aberration properties is a very important issue to the calibration of the measuring systems. In this study, we propose a new mathematics model, which is based on the plane calibration method by Zhang Zhengyou, and establish a relationship between the focal length and aberration coefficient. By using the mathematics model and carefully modified compensation templates, the calibration precision of the system can be dramatically improved. The experiment results show that the relative error is less than 1%. It is important for optoelectronic imaging systems that apply to measure, track and position by changing the camera’s focal length. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera%20calibration" title="camera calibration">camera calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=aberration%20coefficient" title=" aberration coefficient"> aberration coefficient</a>, <a href="https://publications.waset.org/abstracts/search?q=vision%20measurement" title=" vision measurement"> vision measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=focal%20length" title=" focal length"> focal length</a>, <a href="https://publications.waset.org/abstracts/search?q=mathematics%20model" title=" mathematics model"> mathematics model</a> </p> <a href="https://publications.waset.org/abstracts/77749/improvement-of-camera-calibration-based-on-the-relationship-between-focal-length-and-aberration-coefficient" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77749.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">364</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">17002</span> Evaluation of Manual and Automatic Calibration Methods for Digital Tachographs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sarp%20Erturk">Sarp Erturk</a>, <a href="https://publications.waset.org/abstracts/search?q=Levent%20Eyigel"> Levent Eyigel</a>, <a href="https://publications.waset.org/abstracts/search?q=Cihat%20Celik"> Cihat Celik</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammet%20Sahinoglu"> Muhammet Sahinoglu</a>, <a href="https://publications.waset.org/abstracts/search?q=Serdar%20Ay"> Serdar Ay</a>, <a href="https://publications.waset.org/abstracts/search?q=Yasin%20Kaya"> Yasin Kaya</a>, <a href="https://publications.waset.org/abstracts/search?q=Hasan%20Kaya"> Hasan Kaya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a quantitative analysis on the need for automotive calibration methods for digital tachographs. Digital tachographs are mandatory for vehicles used in people and goods transport and they are an important aspect for road safety and inspection. Digital tachographs need to be calibrated for workshops in order for the digital tachograph to display and record speed and odometer values correctly. Calibration of digital tachographs can be performed either manual or automatic. It is shown in this paper that manual calibration of digital tachographs is prone to errors and there can be differences between manual and automatic calibration parameters. Therefore automatic calibration methods are imperative for digital tachograph calibration. The presented experimental results and error analysis clearly support the claims of the paper by evaluating and statistically comparing manual and automatic calibration methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=digital%20tachograph" title="digital tachograph">digital tachograph</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=tachograph%20calibration" title=" tachograph calibration"> tachograph calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=tachograph%20workshops" title=" tachograph workshops"> tachograph workshops</a> </p> <a href="https://publications.waset.org/abstracts/82352/evaluation-of-manual-and-automatic-calibration-methods-for-digital-tachographs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82352.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">333</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">17001</span> Calibration Methods of Direct and Indirect Reading Pressure Sensor and Uncertainty Determination</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sinem%20O.%20Aktan">Sinem O. Aktan</a>, <a href="https://publications.waset.org/abstracts/search?q=Musa%20Y.%20Akkurt"> Musa Y. Akkurt</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Experimental pressure calibration methods can be classified into three areas: (1) measurements in liquid or gas systems, (2) measurements in static-solid media systems, and (3) measurements in dynamic shock systems. Fluid (liquid and gas) systems high accuracies can be obtainable and commonly used for the calibration method of a pressure sensor. Pressure calibrations can be performed for metrological traceability in two ways, which are on-site (field) and in the laboratory. Laboratory and on-site calibration procedures and the requirements of the DKD-R-6-1 and Euramet cg-17 guidelines will also be addressed. In this study, calibration methods of direct and indirect reading pressure sensor and measurement uncertainty contributions will be explained. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pressure%20metrology" title="pressure metrology">pressure metrology</a>, <a href="https://publications.waset.org/abstracts/search?q=pressure%20calibration" title=" pressure calibration"> pressure calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=dead-weight%20tester" title=" dead-weight tester"> dead-weight tester</a>, <a href="https://publications.waset.org/abstracts/search?q=pressure%20uncertainty" title=" pressure uncertainty"> pressure uncertainty</a> </p> <a href="https://publications.waset.org/abstracts/128491/calibration-methods-of-direct-and-indirect-reading-pressure-sensor-and-uncertainty-determination" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128491.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">17000</span> Calibration of Hybrid Model and Arbitrage-Free Implied Volatility Surface</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kun%20Huang">Kun Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates whether the combination of local and stochastic volatility models can be calibrated exactly to any arbitrage-free implied volatility surface of European option. The risk neutral Brownian Bridge density is applied for calibration of the leverage function of our Hybrid model. Furthermore, the tails of marginal risk neutral density are generated by Generalized Extreme Value distribution in order to capture the properties of asset returns. The local volatility is generated from the arbitrage-free implied volatility surface using stochastic volatility inspired parameterization. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=arbitrage%20free%20implied%20volatility" title="arbitrage free implied volatility">arbitrage free implied volatility</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration" title=" calibration"> calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=extreme%20value%20distribution" title=" extreme value distribution"> extreme value distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20model" title=" hybrid model"> hybrid model</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20volatility" title=" local volatility"> local volatility</a>, <a href="https://publications.waset.org/abstracts/search?q=risk-neutral%20density" title=" risk-neutral density"> risk-neutral density</a>, <a href="https://publications.waset.org/abstracts/search?q=stochastic%20volatility" title=" stochastic volatility"> stochastic volatility</a> </p> <a href="https://publications.waset.org/abstracts/62414/calibration-of-hybrid-model-and-arbitrage-free-implied-volatility-surface" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62414.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">267</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16999</span> Calibration Model of %Titratable Acidity (Citric Acid) for Intact Tomato by Transmittance SW-NIR Spectroscopy</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Petcharaporn">K. Petcharaporn</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Kumchoo"> S. Kumchoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The acidity (citric acid) is one of the chemical contents that can refer to the internal quality and the maturity index of tomato. The titratable acidity (%TA) can be predicted by a non-destructive method prediction by using the transmittance short wavelength (SW-NIR). Spectroscopy in the wavelength range between 665-955 nm. The set of 167 tomato samples divided into groups of 117 tomatoes sample for training set and 50 tomatoes sample for test set were used to establish the calibration model to predict and measure %TA by partial least squares regression (PLSR) technique. The spectra were pretreated with MSC pretreatment and it gave the optimal result for calibration model as (R = 0.92, RMSEC = 0.03%) and this model obtained high accuracy result to use for %TA prediction in test set as (R = 0.81, RMSEP = 0.05%). From the result of prediction in test set shown that the transmittance SW-NIR spectroscopy technique can be used for a non-destructive method for %TA prediction of tomatoes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tomato" title="tomato">tomato</a>, <a href="https://publications.waset.org/abstracts/search?q=quality" title=" quality"> quality</a>, <a href="https://publications.waset.org/abstracts/search?q=prediction" title=" prediction"> prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=transmittance" title=" transmittance"> transmittance</a>, <a href="https://publications.waset.org/abstracts/search?q=titratable%20acidity" title=" titratable acidity"> titratable acidity</a>, <a href="https://publications.waset.org/abstracts/search?q=citric%20acid" title=" citric acid"> citric acid</a> </p> <a href="https://publications.waset.org/abstracts/11536/calibration-model-of-titratable-acidity-citric-acid-for-intact-tomato-by-transmittance-sw-nir-spectroscopy" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11536.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">273</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16998</span> Modeling Sediment Yield Using the SWAT Model: A Case Study of Upper Ankara River Basin, Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Umit%20Duru">Umit Duru</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Soil and Water Assessment Tool (SWAT) was tested for prediction of water balance and sediment yield in the Ankara gauged basin, Turkey. The overall objective of this study was to evaluate the performance and applicability of the SWAT in this region of Turkey. Thirteen years of monthly stream flow, and suspended sediment, data were used for calibration and validation. This research assessed model performance based on differences between observed and predicted suspended sediment yield during calibration (1987-1996) and validation (1982-1984) periods. Statistical comparisons of suspended sediment produced values for NSE (Nash Sutcliffe efficiency), RE (relative error), and R² (coefficient of determination), of 0.81, -1.55, and 0.93, respectively, during the calibration period, and NSE, RE (%), and R² of 0.77, -2.61, and 0.87, respectively, during the validation period. Based on the analyses, SWAT satisfactorily simulated observed hydrology and sediment yields and can be used as a tool in decision making for water resources planning and management in the basin. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=calibration" title="calibration">calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=sediment%20yield" title=" sediment yield"> sediment yield</a>, <a href="https://publications.waset.org/abstracts/search?q=SWAT" title=" SWAT"> SWAT</a>, <a href="https://publications.waset.org/abstracts/search?q=validation" title=" validation"> validation</a> </p> <a href="https://publications.waset.org/abstracts/55249/modeling-sediment-yield-using-the-swat-model-a-case-study-of-upper-ankara-river-basin-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55249.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">281</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16997</span> UBCSAND Model Calibration for Generic Liquefaction Triggering Curves</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jui-Ching%20Chou">Jui-Ching Chou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Numerical simulation is a popular method used to evaluate the effects of soil liquefaction on a structure or the effectiveness of a mitigation plan. Many constitutive models (UBCSAND model, PM4 model, SANISAND model, etc.) were presented to model the liquefaction phenomenon. In general, inputs of a constitutive model need to be calibrated against the soil cyclic resistance before being applied to the numerical simulation model. Then, simulation results can be compared with results from simplified liquefaction potential assessing methods. In this article, inputs of the UBCSAND model, a simple elastic-plastic stress-strain model, are calibrated against several popular generic liquefaction triggering curves of simplified liquefaction potential assessing methods via FLAC program. Calibrated inputs can provide engineers to perform a preliminary evaluation of an existing structure or a new design project. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=calibration" title="calibration">calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=liquefaction" title=" liquefaction"> liquefaction</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20simulation" title=" numerical simulation"> numerical simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=UBCSAND%20Model" title=" UBCSAND Model"> UBCSAND Model</a> </p> <a href="https://publications.waset.org/abstracts/113597/ubcsand-model-calibration-for-generic-liquefaction-triggering-curves" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113597.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">173</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16996</span> Physical Characterization of a Watershed for Correlation with Parameters of Thomas Hydrological Model and Its Application in Iber Hidrodinamic Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carlos%20Caro">Carlos Caro</a>, <a href="https://publications.waset.org/abstracts/search?q=Ernest%20Blade"> Ernest Blade</a>, <a href="https://publications.waset.org/abstracts/search?q=Nestor%20Rojas"> Nestor Rojas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study determined the relationship between basic geo-technical parameters and parameters of the hydro logical model Thomas for water balance of rural watersheds, as a methodological calibration application, applicable in distributed models as IBER model, which represents a distributed system simulation models for unsteady flow numerical free surface. There was an exploration in 25 points (on 15 sub) basin of Rio Piedras (Boy.) obtaining soil samples, to which geo-technical characterization was performed by laboratory tests. Thomas model has a physical characterization of the input area by only four parameters (a, b, c, d). Achieve measurable relationship between geo technical parameters and 4 values of hydro logical parameters helps to determine subsurface, underground and surface flow more agile manner. It is intended in this way to reach some solutions regarding limits initial model parameters on the basis of Thomas geo-technical characterization. In hydro geological models of rural watersheds, calibration is an important process in the characterization of the study area. This step can require a significant computational cost and time, especially if the initial values or parameters before calibration are outside of the geo-technical reality. A better approach in these initial values means optimization of these process through a geo-technical materials area, where is obtained an important approach to the study as in the starting range of variation for the calibration parameters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distributed%20hydrology" title="distributed hydrology">distributed hydrology</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrological%20and%20geotechnical%20characterization" title=" hydrological and geotechnical characterization"> hydrological and geotechnical characterization</a>, <a href="https://publications.waset.org/abstracts/search?q=Iber%20model" title=" Iber model"> Iber model</a> </p> <a href="https://publications.waset.org/abstracts/12863/physical-characterization-of-a-watershed-for-correlation-with-parameters-of-thomas-hydrological-model-and-its-application-in-iber-hidrodinamic-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12863.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">522</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16995</span> Laboratory Calibration of Soil Pressure Transducer for a Specified Field Application</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Zahidul%20Islam%20Bhuiyan">Mohammad Zahidul Islam Bhuiyan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shanyong%20Wang"> Shanyong Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Scott%20William%20Sloan"> Scott William Sloan</a>, <a href="https://publications.waset.org/abstracts/search?q=Daichao%20%20Sheng"> Daichao Sheng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays soil pressure transducers are widely used to measure the soil stress states in laboratory and field experiments. The soil pressure transducers, investigated here, are traditional diaphragm-type earth pressure cells (DEPC) based on strain gauge principle. It is found that the output of these sensors varies with the soil conditions as well as the position of a sensor. Therefore, it is highly recommended to calibrate the pressure sensors based on the similar conditions of their intended applications. The factory calibration coefficients of the EPCs are not reliable to use since they are normally calibrated by applying fluid (a special type of oil) pressure only over load sensing zone, which does not represent the actual field conditions. Thus, the calibration of these sensors is utmost important, and they play a pivotal role for assessing earth pressures precisely. In the present study, TML soil pressure sensor is used to compare its sensitivity under different calibration systems, for example, fluid calibration, and static load calibration with or without soil. The results report that the sensor provides higher sensitivity (more accurate results) under soil calibration system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=calibration" title="calibration">calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20pressure" title=" soil pressure"> soil pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=earth%20pressure%20cell" title=" earth pressure cell"> earth pressure cell</a>, <a href="https://publications.waset.org/abstracts/search?q=sensitivity" title=" sensitivity"> sensitivity</a> </p> <a href="https://publications.waset.org/abstracts/79500/laboratory-calibration-of-soil-pressure-transducer-for-a-specified-field-application" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79500.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">240</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16994</span> Developing and Evaluating Clinical Risk Prediction Models for Coronary Artery Bypass Graft Surgery</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammadreza%20Mohebbi">Mohammadreza Mohebbi</a>, <a href="https://publications.waset.org/abstracts/search?q=Masoumeh%20Sanagou"> Masoumeh Sanagou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The ability to predict clinical outcomes is of great importance to physicians and clinicians. A number of different methods have been used in an effort to accurately predict these outcomes. These methods include the development of scoring systems based on multivariate statistical modelling, and models involving the use of classification and regression trees. The process usually consists of two consecutive phases, namely model development and external validation. The model development phase consists of building a multivariate model and evaluating its predictive performance by examining calibration and discrimination, and internal validation. External validation tests the predictive performance of a model by assessing its calibration and discrimination in different but plausibly related patients. A motivate example focuses on prediction modeling using a sample of patients undergone coronary artery bypass graft (CABG) has been used for illustrative purpose and a set of primary considerations for evaluating prediction model studies using specific quality indicators as criteria to help stakeholders evaluate the quality of a prediction model study has been proposed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clinical%20prediction%20models" title="clinical prediction models">clinical prediction models</a>, <a href="https://publications.waset.org/abstracts/search?q=clinical%20decision%20rule" title=" clinical decision rule"> clinical decision rule</a>, <a href="https://publications.waset.org/abstracts/search?q=prognosis" title=" prognosis"> prognosis</a>, <a href="https://publications.waset.org/abstracts/search?q=external%20validation" title=" external validation"> external validation</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20calibration" title=" model calibration"> model calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=biostatistics" title=" biostatistics"> biostatistics</a> </p> <a href="https://publications.waset.org/abstracts/73483/developing-and-evaluating-clinical-risk-prediction-models-for-coronary-artery-bypass-graft-surgery" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73483.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">297</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16993</span> Auto Calibration and Optimization of Large-Scale Water Resources Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arash%20Parehkar">Arash Parehkar</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Jamshid%20Mousavi"> S. Jamshid Mousavi</a>, <a href="https://publications.waset.org/abstracts/search?q=Shoubo%20Bayazidi"> Shoubo Bayazidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Vahid%20Karami"> Vahid Karami</a>, <a href="https://publications.waset.org/abstracts/search?q=Laleh%20Shahidi"> Laleh Shahidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Arash%20Azaranfar"> Arash Azaranfar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Moridi"> Ali Moridi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Shabakhti"> M. Shabakhti</a>, <a href="https://publications.waset.org/abstracts/search?q=Tayebeh%20Ariyan"> Tayebeh Ariyan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mitra%20Tofigh"> Mitra Tofigh</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaveh%20Masoumi"> Kaveh Masoumi</a>, <a href="https://publications.waset.org/abstracts/search?q=Alireza%20Motahari"> Alireza Motahari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Water resource systems modelling have constantly been a challenge through history for human being. As the innovative methodological development is evolving alongside computer sciences on one hand, researches are likely to confront more complex and larger water resources systems due to new challenges regarding increased water demands, climate change and human interventions, socio-economic concerns, and environment protection and sustainability. In this research, an automatic calibration scheme has been applied on the Gilan’s large-scale water resource model using mathematical programming. The water resource model’s calibration is developed in order to attune unknown water return flows from demand sites in the complex Sefidroud irrigation network and other related areas. The calibration procedure is validated by comparing several gauged river outflows from the system in the past with model results. The calibration results are pleasantly reasonable presenting a rational insight of the system. Subsequently, the unknown optimized parameters were used in a basin-scale linear optimization model with the ability to evaluate the system’s performance against a reduced inflow scenario in future. Results showed an acceptable match between predicted and observed outflows from the system at selected hydrometric stations. Moreover, an efficient operating policy was determined for Sefidroud dam leading to a minimum water shortage in the reduced inflow scenario. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=auto-calibration" title="auto-calibration">auto-calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=Gilan" title=" Gilan"> Gilan</a>, <a href="https://publications.waset.org/abstracts/search?q=large-scale%20water%20resources" title=" large-scale water resources"> large-scale water resources</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a> </p> <a href="https://publications.waset.org/abstracts/7091/auto-calibration-and-optimization-of-large-scale-water-resources-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7091.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">335</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16992</span> Cascade Control for Pressure Calibration by Fieldbus Communication System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chatchaval%20Pornpatkul">Chatchaval Pornpatkul</a>, <a href="https://publications.waset.org/abstracts/search?q=Wipawan%20Suksathid"> Wipawan Suksathid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper is to study and control the pressure of the water inside the open tank using a cascade control with the communication in the process by fieldbus system for the pressure calibration. The plant model is to be used in experiments to control the level and flow process of the water by using Syscon program to create functions. We used to control by Intouch runtime program to create the graphic display on the screen. In this case we used PI control the level and the flow process of water in the open tank in the range of 0 – 10 L/m. The output signal of the level and the flow transmitter are the digital standard signal by fieldbus system. And all information displayed on the computer with the communication between the computer and plant model can be communication to each other through just one cable pair. And in this paper, the PI tuning, we used calculate by Ziegler-Nichols reaction curve method to control the plant model by PI controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cascade%20control" title="cascade control">cascade control</a>, <a href="https://publications.waset.org/abstracts/search?q=fieldbus%20system" title=" fieldbus system"> fieldbus system</a>, <a href="https://publications.waset.org/abstracts/search?q=pressure%20calibration" title=" pressure calibration"> pressure calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=microelectronics%20systems" title=" microelectronics systems"> microelectronics systems</a> </p> <a href="https://publications.waset.org/abstracts/6419/cascade-control-for-pressure-calibration-by-fieldbus-communication-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6419.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">459</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16991</span> Development of an Automatic Calibration Framework for Hydrologic Modelling Using Approximate Bayesian Computation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Chowdhury">A. Chowdhury</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Egodawatta"> P. Egodawatta</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20M.%20McGree"> J. M. McGree</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Goonetilleke"> A. Goonetilleke</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hydrologic models are increasingly used as tools to predict stormwater quantity and quality from urban catchments. However, due to a range of practical issues, most models produce gross errors in simulating complex hydraulic and hydrologic systems. Difficulty in finding a robust approach for model calibration is one of the main issues. Though automatic calibration techniques are available, they are rarely used in common commercial hydraulic and hydrologic modelling software e.g. MIKE URBAN. This is partly due to the need for a large number of parameters and large datasets in the calibration process. To overcome this practical issue, a framework for automatic calibration of a hydrologic model was developed in R platform and presented in this paper. The model was developed based on the time-area conceptualization. Four calibration parameters, including initial loss, reduction factor, time of concentration and time-lag were considered as the primary set of parameters. Using these parameters, automatic calibration was performed using Approximate Bayesian Computation (ABC). ABC is a simulation-based technique for performing Bayesian inference when the likelihood is intractable or computationally expensive to compute. To test the performance and usefulness, the technique was used to simulate three small catchments in Gold Coast. For comparison, simulation outcomes from the same three catchments using commercial modelling software, MIKE URBAN were used. The graphical comparison shows strong agreement of MIKE URBAN result within the upper and lower 95% credible intervals of posterior predictions as obtained via ABC. Statistical validation for posterior predictions of runoff result using coefficient of determination (CD), root mean square error (RMSE) and maximum error (ME) was found reasonable for three study catchments. The main benefit of using ABC over MIKE URBAN is that ABC provides a posterior distribution for runoff flow prediction, and therefore associated uncertainty in predictions can be obtained. In contrast, MIKE URBAN just provides a point estimate. Based on the results of the analysis, it appears as though ABC the developed framework performs well for automatic calibration. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automatic%20calibration%20framework" title="automatic calibration framework">automatic calibration framework</a>, <a href="https://publications.waset.org/abstracts/search?q=approximate%20bayesian%20computation" title=" approximate bayesian computation"> approximate bayesian computation</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrologic%20and%20hydraulic%20modelling" title=" hydrologic and hydraulic modelling"> hydrologic and hydraulic modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=MIKE%20URBAN%20software" title=" MIKE URBAN software"> MIKE URBAN software</a>, <a href="https://publications.waset.org/abstracts/search?q=R%20platform" title=" R platform"> R platform</a> </p> <a href="https://publications.waset.org/abstracts/42057/development-of-an-automatic-calibration-framework-for-hydrologic-modelling-using-approximate-bayesian-computation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42057.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">307</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16990</span> Calibration of the Discrete Element Method Using a Large Shear Box</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20J.%20Coetzee">C. J. Coetzee</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Horn"> E. Horn</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the main challenges in using the Discrete Element Method (DEM) is to specify the correct input parameter values. In general, the models are sensitive to the input parameter values and accurate results can only be achieved if the correct values are specified. For the linear contact model, micro-parameters such as the particle density, stiffness, coefficient of friction, as well as the particle size and shape distributions are required. There is a need for a procedure to accurately calibrate these parameters before any attempt can be made to accurately model a complete bulk materials handling system. Since DEM is often used to model applications in the mining and quarrying industries, a calibration procedure was developed for materials that consist of relatively large (up to 40 mm in size) particles. A coarse crushed aggregate was used as the test material. Using a specially designed large shear box with a diameter of 590 mm, the confined Young’s modulus (bulk stiffness) and internal friction angle of the material were measured by means of the confined compression test and the direct shear test respectively. DEM models of the experimental setup were developed and the input parameter values were varied iteratively until a close correlation between the experimental and numerical results was achieved. The calibration process was validated by modelling the pull-out of an anchor from a bed of material. The model results compared well with experimental measurement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Discrete%20Element%20Method%20%28DEM%29" title="Discrete Element Method (DEM)">Discrete Element Method (DEM)</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration" title=" calibration"> calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=shear%20box" title=" shear box"> shear box</a>, <a href="https://publications.waset.org/abstracts/search?q=anchor%20pull-out" title=" anchor pull-out"> anchor pull-out</a> </p> <a href="https://publications.waset.org/abstracts/17097/calibration-of-the-discrete-element-method-using-a-large-shear-box" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17097.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">291</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16989</span> TELUM Land Use Model: An Investigation of Data Requirements and Calibration Results for Chittenden County MPO, U.S.A.</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Georgia%20Pozoukidou">Georgia Pozoukidou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> TELUM software is a land use model designed specifically to help metropolitan planning organizations (MPOs) prepare their transportation improvement programs and fulfill their numerous planning responsibilities. In this context obtaining, preparing, and validating socioeconomic forecasts are becoming fundamental tasks for an MPO in order to ensure that consistent population and employment data are provided to travel demand models. Chittenden County Metropolitan Planning Organization of Vermont State was used as a case study to test the applicability of TELUM land use model. The technical insights and lessons learned from the land use model application have transferable value for all MPOs faced with land use forecasting development and transportation modelling. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=calibration%20data%20requirements" title="calibration data requirements">calibration data requirements</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20models" title=" land use models"> land use models</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20planning" title=" land use planning"> land use planning</a>, <a href="https://publications.waset.org/abstracts/search?q=metropolitan%20planning%20organizations" title=" metropolitan planning organizations"> metropolitan planning organizations</a> </p> <a href="https://publications.waset.org/abstracts/6519/telum-land-use-model-an-investigation-of-data-requirements-and-calibration-results-for-chittenden-county-mpo-usa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6519.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">292</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16988</span> Self-Calibration of Fish-Eye Camera for Advanced Driver Assistance Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Atef%20Alaaeddine%20Sarraj">Atef Alaaeddine Sarraj</a>, <a href="https://publications.waset.org/abstracts/search?q=Brendan%20Jackman"> Brendan Jackman</a>, <a href="https://publications.waset.org/abstracts/search?q=Frank%20Walsh"> Frank Walsh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Tomorrow’s car will be more automated and increasingly connected. Innovative and intuitive interfaces are essential to accompany this functional enrichment. For that, today the automotive companies are competing to offer an advanced driver assistance system (ADAS) which will be able to provide enhanced navigation, collision avoidance, intersection support and lane keeping. These vision-based functions require an accurately calibrated camera. To achieve such differentiation in ADAS requires sophisticated sensors and efficient algorithms. This paper explores the different calibration methods applicable to vehicle-mounted fish-eye cameras with arbitrary fields of view and defines the first steps towards a self-calibration method that adequately addresses ADAS requirements. In particular, we present a self-calibration method after comparing different camera calibration algorithms in the context of ADAS requirements. Our method gathers data from unknown scenes while the car is moving, estimates the camera intrinsic and extrinsic parameters and corrects the wide-angle distortion. Our solution enables continuous and real-time detection of objects, pedestrians, road markings and other cars. In contrast, other camera calibration algorithms for ADAS need pre-calibration, while the presented method calibrates the camera without prior knowledge of the scene and in real-time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=advanced%20driver%20assistance%20system%20%28ADAS%29" title="advanced driver assistance system (ADAS)">advanced driver assistance system (ADAS)</a>, <a href="https://publications.waset.org/abstracts/search?q=fish-eye" title=" fish-eye"> fish-eye</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time" title=" real-time"> real-time</a>, <a href="https://publications.waset.org/abstracts/search?q=self-calibration" title=" self-calibration"> self-calibration</a> </p> <a href="https://publications.waset.org/abstracts/70853/self-calibration-of-fish-eye-camera-for-advanced-driver-assistance-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70853.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">252</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16987</span> Attenuation Scale Calibration of an Optical Time Domain Reflectometer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osama%20Terra">Osama Terra</a>, <a href="https://publications.waset.org/abstracts/search?q=Hatem%20Hussein"> Hatem Hussein</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Calibration of Optical Time Domain Reflectometer (OTDR) is crucial for the accurate determination of loss budget for long optical fiber links. In this paper, the calibration of the attenuation scale of an OTDR using two different techniques is discussed and implemented. The first technique is the external modulation method (EM). A setup is proposed to calibrate an OTDR over a dynamic range of around 15 dB based on the EM method. Afterwards, the OTDR is calibrated using two standard reference fibers (SRF). Both SRF are calibrated using cut-back technique; one of them is calibrated at our home institute (the National Institute of Standards – NIS) while the other at the National Physical Laboratory (NPL) of the United Kingdom to confirm our results. In addition, the parameters contributing the calibration uncertainty are thoroughly investigated. Although the EM method has several advantages over the SRF method, the uncertainties in the SRF method is found to surpass that of the EM method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optical%20time%20domain%20reflectometer" title="optical time domain reflectometer">optical time domain reflectometer</a>, <a href="https://publications.waset.org/abstracts/search?q=fiber%20attenuation%20measurement" title=" fiber attenuation measurement"> fiber attenuation measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=OTDR%20calibration" title=" OTDR calibration"> OTDR calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=external%20source%20method" title=" external source method"> external source method</a> </p> <a href="https://publications.waset.org/abstracts/56989/attenuation-scale-calibration-of-an-optical-time-domain-reflectometer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56989.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">465</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16986</span> Assessment of Soil Erosion Risk Using Soil and Water Assessment Tools Model: Case of Siliana Watershed, Northwest Tunisia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sana%20Dridi">Sana Dridi</a>, <a href="https://publications.waset.org/abstracts/search?q=Jalel%20Aouissi"> Jalel Aouissi</a>, <a href="https://publications.waset.org/abstracts/search?q=Rafla%20Attia"> Rafla Attia</a>, <a href="https://publications.waset.org/abstracts/search?q=Taoufik%20Hermassi"> Taoufik Hermassi</a>, <a href="https://publications.waset.org/abstracts/search?q=Thouraya%20Sahli"> Thouraya Sahli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Soil erosion is an increasing issue in Mediterranean countries. In Tunisia, the capacity of dam reservoirs continues to decrease as a consequence of soil erosion. This study aims to predict sediment yield to enrich soil management practices using Soil and Water Assessment Tools model (SWAT) in the Siliana watershed (1041.6 km²), located in the northwest of Tunisia. A database was constructed using remote sensing and Geographical Information System. Climatic and flow data were collected from water resources directorates in Tunisia. The SWAT model was built to simulate hydrological processes and sediment transport. A sensitivity analysis, calibration, and validation were performed using SWAT-CUP software. The model calibration of stream flow simulations shows a good performance with NSE and R² values of 0.77 and 0.79, respectively. The model validation shows a very good performance with values of NSE and R² for 0.8 and 0.88, respectively. After calibration and validation of stream flow simulation, the model was used to simulate the soil erosion and sediment load transport. The spatial distributions of soil loss rate for determining the critical sediment source areas show that 63 % of the study area has a low soil loss rate less than 7 t ha⁻¹y⁻¹. The annual average soil loss rate simulated with the SWAT model in the Siliana watershed is 4.62 t ha⁻¹y⁻¹. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=water%20erosion" title="water erosion">water erosion</a>, <a href="https://publications.waset.org/abstracts/search?q=SWAT%20model" title=" SWAT model"> SWAT model</a>, <a href="https://publications.waset.org/abstracts/search?q=streamflow" title=" streamflow"> streamflow</a>, <a href="https://publications.waset.org/abstracts/search?q=SWATCUP" title=" SWATCUP"> SWATCUP</a>, <a href="https://publications.waset.org/abstracts/search?q=sediment%20yield" title=" sediment yield"> sediment yield</a> </p> <a href="https://publications.waset.org/abstracts/162454/assessment-of-soil-erosion-risk-using-soil-and-water-assessment-tools-model-case-of-siliana-watershed-northwest-tunisia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162454.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">101</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16985</span> Strategy Management of Soybean (Glycine max L.) for Dealing with Extreme Climate through the Use of Cropsyst Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aminah%20Muchdar">Aminah Muchdar</a>, <a href="https://publications.waset.org/abstracts/search?q=Nuraeni"> Nuraeni</a>, <a href="https://publications.waset.org/abstracts/search?q=Eddy"> Eddy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aims of the research are: (1) to verify the cropsyst plant model of experimental data in the field of soybean plants and (2) to predict planting time and potential yield soybean plant with the use of cropsyst model. This research is divided into several stages: (1) first calibration stage which conducted in the field from June until September 2015.(2) application models stage, where the data obtained from calibration in the field will be included in cropsyst models. The required data models are climate data, ground data/soil data,also crop genetic data. The relationship between the obtained result in field with simulation cropsyst model indicated by Efficiency Index (EF) which the value is 0,939.That is showing that cropsyst model is well used. From the calculation result RRMSE which the value is 1,922%.That is showing that comparative fault prediction results from simulation with result obtained in the field is 1,92%. The conclusion has obtained that the prediction of soybean planting time cropsyst based models that have been made valid for use. and the appropriate planting time for planting soybeans mainly on rain-fed land is at the end of the rainy season, in which the above study first planting time (June 2, 2015) which gives the highest production, because at that time there was still some rain. Tanggamus varieties more resistant to slow planting time cause the percentage decrease in the yield of each decade is lower than the average of all varieties. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=soybean" title="soybean">soybean</a>, <a href="https://publications.waset.org/abstracts/search?q=Cropsyst" title=" Cropsyst"> Cropsyst</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration" title=" calibration"> calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=efficiency%20Index" title=" efficiency Index"> efficiency Index</a>, <a href="https://publications.waset.org/abstracts/search?q=RRMSE" title=" RRMSE"> RRMSE</a> </p> <a href="https://publications.waset.org/abstracts/57019/strategy-management-of-soybean-glycine-max-l-for-dealing-with-extreme-climate-through-the-use-of-cropsyst-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57019.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">179</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16984</span> Monitoring the Drying and Grinding Process during Production of Celitement through a NIR-Spectroscopy Based Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Carolin%20Lutz">Carolin Lutz</a>, <a href="https://publications.waset.org/abstracts/search?q=J%C3%B6rg%20Matthes"> Jörg Matthes</a>, <a href="https://publications.waset.org/abstracts/search?q=Patrick%20Waibel"> Patrick Waibel</a>, <a href="https://publications.waset.org/abstracts/search?q=Ulrich%20Precht"> Ulrich Precht</a>, <a href="https://publications.waset.org/abstracts/search?q=Krassimir%20Garbev"> Krassimir Garbev</a>, <a href="https://publications.waset.org/abstracts/search?q=G%C3%BCnter%20Beuchle"> Günter Beuchle</a>, <a href="https://publications.waset.org/abstracts/search?q=Uwe%20Schweike"> Uwe Schweike</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20Stemmermann"> Peter Stemmermann</a>, <a href="https://publications.waset.org/abstracts/search?q=Hubert%20B.%20Keller"> Hubert B. Keller</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Online measurement of the product quality is a challenging task in cement production, especially in the production of Celitement, a novel environmentally friendly hydraulic binder. The mineralogy and chemical composition of clinker in ordinary Portland cement production is measured by X-ray diffraction (XRD) and X ray fluorescence (XRF), where only crystalline constituents can be detected. But only a small part of the Celitement components can be measured via XRD, because most constituents have an amorphous structure. This paper describes the development of algorithms suitable for an on-line monitoring of the final processing step of Celitement based on NIR-data. For calibration intermediate products were dried at different temperatures and ground for variable durations. The products were analyzed using XRD and thermogravimetric analyses together with NIR-spectroscopy to investigate the dependency between the drying and the milling processes on one and the NIR-signal on the other side. As a result, different characteristic parameters have been defined. A short overview of the Celitement process and the challenging tasks of the online measurement and evaluation of the product quality will be presented. Subsequently, methods for systematic development of near-infrared calibration models and the determination of the final calibration model will be introduced. The application of the model on experimental data illustrates that NIR-spectroscopy allows for a quick and sufficiently exact determination of crucial process parameters. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=calibration%20model" title="calibration model">calibration model</a>, <a href="https://publications.waset.org/abstracts/search?q=celitement" title=" celitement"> celitement</a>, <a href="https://publications.waset.org/abstracts/search?q=cementitious%20material" title=" cementitious material"> cementitious material</a>, <a href="https://publications.waset.org/abstracts/search?q=NIR%20spectroscopy" title=" NIR spectroscopy"> NIR spectroscopy</a> </p> <a href="https://publications.waset.org/abstracts/35212/monitoring-the-drying-and-grinding-process-during-production-of-celitement-through-a-nir-spectroscopy-based-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35212.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">500</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16983</span> X-Corner Detection for Camera Calibration Using Saddle Points</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulrahman%20S.%20Alturki">Abdulrahman S. Alturki</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20S.%20Loomis"> John S. Loomis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses a corner detection algorithm for camera calibration. Calibration is a necessary step in many computer vision and image processing applications. Robust corner detection for an image of a checkerboard is required to determine intrinsic and extrinsic parameters. In this paper, an algorithm for fully automatic and robust X-corner detection is presented. Checkerboard corner points are automatically found in each image without user interaction or any prior information regarding the number of rows or columns. The approach represents each X-corner with a quadratic fitting function. Using the fact that the X-corners are saddle points, the coefficients in the fitting function are used to identify each corner location. The automation of this process greatly simplifies calibration. Our method is robust against noise and different camera orientations. Experimental analysis shows the accuracy of our method using actual images acquired at different camera locations and orientations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=camera%20calibration" title="camera calibration">camera calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=corner%20detector" title=" corner detector"> corner detector</a>, <a href="https://publications.waset.org/abstracts/search?q=edge%20detector" title=" edge detector"> edge detector</a>, <a href="https://publications.waset.org/abstracts/search?q=saddle%20points" title=" saddle points"> saddle points</a> </p> <a href="https://publications.waset.org/abstracts/40538/x-corner-detection-for-camera-calibration-using-saddle-points" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40538.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">406</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16982</span> Calibration and Validation of ArcSWAT Model for Estimation of Surface Runoff and Sediment Yield from Dhangaon Watershed</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20P.%20Tripathi">M. P. Tripathi</a>, <a href="https://publications.waset.org/abstracts/search?q=Priti%20Tiwari"> Priti Tiwari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Soil and Water Assessment Tool (SWAT) is a distributed parameter continuous time model and was tested on daily and fortnightly basis for a small agricultural watershed (Dhangaon) of Chhattisgarh state in India. The SWAT model recently interfaced with ArcGIS and called as ArcSWAT. The watershed and sub-watershed boundaries, drainage networks, slope and texture maps were generated in the environment of ArcGIS of ArcSWAT. Supervised classification method was used for land use/cover classification from satellite imageries of the years 2009 and 2012. Manning's roughness coefficient 'n' for overland flow and channel flow and Fraction of Field Capacity (FFC) were calibrated for monsoon season of the years 2009 and 2010. The model was validated on a daily basis for the years 2011 and 2012 by using the observed daily rainfall and temperature data. Calibration and validation results revealed that the model was predicting the daily surface runoff and sediment yield satisfactorily. Sensitivity analysis showed that the annual sediment yield was inversely proportional to the overland and channel 'n' values whereas; annual runoff and sediment yields were directly proportional to the FFC. The model was also tested (calibrated and validated) for the fortnightly runoff and sediment yield for the year 2009-10 and 2011-12, respectively. Simulated values of fortnightly runoff and sediment yield for the calibration and validation years compared well with their observed counterparts. The calibration and validation results revealed that the ArcSWAT model could be used for identification of critical sub-watershed and for developing management scenarios for the Dhangaon watershed. Further, the model should be tested for simulating the surface runoff and sediment yield using generated rainfall and temperature before applying it for developing the management scenario for the critical or priority sub-watersheds. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=watershed" title="watershed">watershed</a>, <a href="https://publications.waset.org/abstracts/search?q=hydrologic%20and%20water%20quality" title=" hydrologic and water quality"> hydrologic and water quality</a>, <a href="https://publications.waset.org/abstracts/search?q=ArcSWAT%20model" title=" ArcSWAT model"> ArcSWAT model</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=runoff%20and%20sediment%20yield" title=" runoff and sediment yield"> runoff and sediment yield</a> </p> <a href="https://publications.waset.org/abstracts/22112/calibration-and-validation-of-arcswat-model-for-estimation-of-surface-runoff-and-sediment-yield-from-dhangaon-watershed" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22112.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">379</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16981</span> Enhanced Calibration Map for a Four-Hole Probe for Measuring High Flow Angles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jafar%20Mortadha">Jafar Mortadha</a>, <a href="https://publications.waset.org/abstracts/search?q=Imran%20Qureshi"> Imran Qureshi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research explains and compares the modern techniques used for measuring the flow angles of a flowing fluid with the traditional technique of using multi-hole pressure probes. In particular, the focus of the study is on four-hole probes, which offer great reliability and benefits in several applications where the use of modern measurement techniques is either inconvenient or impractical. Due to modern advancements in manufacturing, small multi-hole pressure probes can be made with high precision, which eliminates the need for calibrating every manufactured probe. This study aims to improve the range of calibration maps for a four-hole probe to allow high flow angles to be measured accurately. The research methodology comprises a literature review of the successful calibration definitions that have been implemented on five-hole probes. These definitions are then adapted and applied on a four-hole probe using a set of raw pressures data. A comparison of the different definitions will be carried out in Matlab and the results will be analyzed to determine the best calibration definition. Taking simplicity of implementation into account as well as the reliability of flow angles estimation, an adapted technique from a research paper written in 2002 offered the most promising outcome. Consequently, the method is seen as a good enhancement for four-hole probes and it can substitute for the existing calibration definitions that offer less accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=calibration%20definitions" title="calibration definitions">calibration definitions</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration%20maps" title=" calibration maps"> calibration maps</a>, <a href="https://publications.waset.org/abstracts/search?q=flow%20measurement%20techniques" title=" flow measurement techniques"> flow measurement techniques</a>, <a href="https://publications.waset.org/abstracts/search?q=four-hole%20probes" title=" four-hole probes"> four-hole probes</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-hole%20pressure%20probes" title=" multi-hole pressure probes"> multi-hole pressure probes</a> </p> <a href="https://publications.waset.org/abstracts/92402/enhanced-calibration-map-for-a-four-hole-probe-for-measuring-high-flow-angles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92402.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">295</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16980</span> Bi-Lateral Comparison between NIS-Egypt and NMISA-South Africa for the Calibration of an Optical Time Domain Reflectometer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osama%20Terra">Osama Terra</a>, <a href="https://publications.waset.org/abstracts/search?q=Mariesa%20Nel"> Mariesa Nel</a>, <a href="https://publications.waset.org/abstracts/search?q=Hatem%20Hussein"> Hatem Hussein</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Calibration of Optical Time Domain Reflectometer (OTDR) has a crucial role for the accurate determination of fault locations and the accurate calculation of loss budget of long-haul optical fibre links during installation and repair. A comparison has been made between the Egyptian National Institute for Standards (NIS-Egypt) and the National Metrology institute of South Africa (NMISA-South Africa) for the calibration of an OTDR. The distance and the attenuation scales of a transfer OTDR have been calibrated by both institutes using their standards according to the standard IEC 61746-1 (2009). The results of this comparison have been compiled in this report. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=OTDR%20calibration" title="OTDR calibration">OTDR calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=recirculating%20loop" title=" recirculating loop"> recirculating loop</a>, <a href="https://publications.waset.org/abstracts/search?q=concatenated%20method" title=" concatenated method"> concatenated method</a>, <a href="https://publications.waset.org/abstracts/search?q=standard%20fiber" title=" standard fiber"> standard fiber</a> </p> <a href="https://publications.waset.org/abstracts/56991/bi-lateral-comparison-between-nis-egypt-and-nmisa-south-africa-for-the-calibration-of-an-optical-time-domain-reflectometer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56991.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">448</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16979</span> Bi-Lateral Comparison between NIS-Egypt and NMISA-South Africa for the Calibration of an Optical Spectrum Analyzer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osama%20Terra">Osama Terra</a>, <a href="https://publications.waset.org/abstracts/search?q=Hatem%20Hussein"> Hatem Hussein</a>, <a href="https://publications.waset.org/abstracts/search?q=Adriaan%20Van%20Brakel"> Adriaan Van Brakel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dense wavelength division multiplexing (DWDM) technology requires tight specification and therefore measurement of wavelength accuracy and stability of the telecommunication lasers. Thus, calibration of the used Optical Spectrum Analyzers (OSAs) that are used to measure wavelength is of a great importance. Proficiency testing must be performed on such measuring activity to insure the accuracy of the measurement results. In this paper, a new comparison scheme is introduced to test the performance of such calibrations. This comparison scheme is implemented between NIS-Egypt and NMISA-South Africa for the calibration of the wavelength scale of an OSA. Both institutes employ reference gas cell to calibrate OSA according to the standard IEC/ BS EN 62129 (2006). The result of this comparison is compiled in this paper. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=OSA%20calibration" title="OSA calibration">OSA calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=HCN%20gas%20cell" title=" HCN gas cell"> HCN gas cell</a>, <a href="https://publications.waset.org/abstracts/search?q=DWDM%20technology" title=" DWDM technology"> DWDM technology</a>, <a href="https://publications.waset.org/abstracts/search?q=wavelength%20measurement" title=" wavelength measurement"> wavelength measurement</a> </p> <a href="https://publications.waset.org/abstracts/77979/bi-lateral-comparison-between-nis-egypt-and-nmisa-south-africa-for-the-calibration-of-an-optical-spectrum-analyzer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77979.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">302</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16978</span> Study of Sub-Surface Flow in an Unconfined Carbonate Aquifer in a Tropical Karst Area in Indonesia: A Modeling Approach Using Finite Difference Groundwater Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dua%20K.%20S.%20Y.%20Klaas">Dua K. S. Y. Klaas</a>, <a href="https://publications.waset.org/abstracts/search?q=Monzur%20A.%20Imteaz"> Monzur A. Imteaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Ika%20Sudiayem"> Ika Sudiayem</a>, <a href="https://publications.waset.org/abstracts/search?q=Elkan%20M.%20E.%20Klaas"> Elkan M. E. Klaas</a>, <a href="https://publications.waset.org/abstracts/search?q=Eldav%20C.%20M.%20Klaas"> Eldav C. M. Klaas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to its porous nature, karst terrains – geomorphologically developed from dissolved formations, is vulnerable to water shortage and deteriorated water quality. Therefore, a solid comprehension on sub-surface flow of karst landscape is essential to assess the long-term availability of groundwater resources. In this paper, a single-continuum model using a finite difference model, MODLFOW, was constructed to represent an unconfined carbonate aquifer in a tropical karst island of Rote in Indonesia. The model, spatially discretized in 20 x 20 m grid cells, was calibrated and validated using available groundwater level and atmospheric variables. In the calibration and validation steps, Parameter Estimation (PEST) and geostatistical pilot point methods were employed to estimate hydraulic conductivity and specific yield values. The results show that the model is able to represent the sub-surface flow indicated by good model performances both in calibration and validation steps. The final model can be used as a robust representation of the system for future study on climate and land use scenarios. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=carbonate%20aquifer" title="carbonate aquifer">carbonate aquifer</a>, <a href="https://publications.waset.org/abstracts/search?q=karst" title=" karst"> karst</a>, <a href="https://publications.waset.org/abstracts/search?q=sub-surface%20flow" title=" sub-surface flow"> sub-surface flow</a>, <a href="https://publications.waset.org/abstracts/search?q=groundwater%20model" title=" groundwater model"> groundwater model</a> </p> <a href="https://publications.waset.org/abstracts/98218/study-of-sub-surface-flow-in-an-unconfined-carbonate-aquifer-in-a-tropical-karst-area-in-indonesia-a-modeling-approach-using-finite-difference-groundwater-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98218.pdf" target="_blank" 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