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calibration</title> <meta name="description" content="Search results for: OSA calibration"> <meta name="keywords" content="OSA calibration"> <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="OSA calibration"> <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> 448</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: OSA calibration</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">448</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">447</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">446</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">445</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">444</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">443</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">442</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">441</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">440</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">439</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">438</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">437</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">436</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">303</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">435</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">434</span> Automatic Calibration of Agent-Based Models Using Deep Neural Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sima%20Najafzadehkhoei">Sima Najafzadehkhoei</a>, <a href="https://publications.waset.org/abstracts/search?q=George%20Vega%20Yon"> George Vega Yon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an approach for calibrating Agent-Based Models (ABMs) efficiently, utilizing Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks. These machine learning techniques are applied to Susceptible-Infected-Recovered (SIR) models, which are a core framework in the study of epidemiology. Our method replicates parameter values from observed trajectory curves, enhancing the accuracy of predictions when compared to traditional calibration techniques. Through the use of simulated data, we train the models to predict epidemiological parameters more accurately. Two primary approaches were explored: one where the number of susceptible, infected, and recovered individuals is fully known, and another using only the number of infected individuals. Our method shows promise for application in other ABMs where calibration is computationally intensive and expensive. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ABM" title="ABM">ABM</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration" title=" calibration"> calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=CNN" title=" CNN"> CNN</a>, <a href="https://publications.waset.org/abstracts/search?q=LSTM" title=" LSTM"> LSTM</a>, <a href="https://publications.waset.org/abstracts/search?q=epidemiology" title=" epidemiology"> epidemiology</a> </p> <a href="https://publications.waset.org/abstracts/192172/automatic-calibration-of-agent-based-models-using-deep-neural-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192172.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">24</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">433</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">283</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">432</span> Optimization of Fused Deposition Modeling 3D Printing Process via Preprocess Calibration Routine Using Low-Cost Thermal Sensing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Raz%20Flieshman">Raz Flieshman</a>, <a href="https://publications.waset.org/abstracts/search?q=Adam%20Michael%20Altenbuchner"> Adam Michael Altenbuchner</a>, <a href="https://publications.waset.org/abstracts/search?q=J%C3%B6rg%20Kr%C3%BCger"> Jörg Krüger</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an approach to optimizing the Fused Deposition Modeling (FDM) 3D printing process through a preprocess calibration routine of printing parameters. The core of this method involves the use of a low-cost thermal sensor capable of measuring tempera-tures within the range of -20 to 500 degrees Celsius for detailed process observation. The calibration process is conducted by printing a predetermined path while varying the process parameters through machine instructions (g-code). This enables the extraction of critical thermal, dimensional, and surface properties along the printed path. The calibration routine utilizes computer vision models to extract features and metrics from the thermal images, in-cluding temperature distribution, layer adhesion quality, surface roughness, and dimension-al accuracy and consistency. These extracted properties are then analyzed to optimize the process parameters to achieve the desired qualities of the printed material. A significant benefit of this calibration method is its potential to create printing parameter profiles for new polymer and composite materials, thereby enhancing the versatility and application range of FDM 3D printing. The proposed method demonstrates significant potential in enhancing the precision and reliability of FDM 3D printing, making it a valuable contribution to the field of additive manufacturing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=FDM%203D%20printing" title="FDM 3D printing">FDM 3D printing</a>, <a href="https://publications.waset.org/abstracts/search?q=preprocess%20calibration" title=" preprocess calibration"> preprocess calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=thermal%20sensor" title=" thermal sensor"> thermal sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20optimization" title=" process optimization"> process optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=additive%20manufacturing" title=" additive manufacturing"> additive manufacturing</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title=" computer vision"> computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=material%20profiles" title=" material profiles"> material profiles</a> </p> <a href="https://publications.waset.org/abstracts/187569/optimization-of-fused-deposition-modeling-3d-printing-process-via-preprocess-calibration-routine-using-low-cost-thermal-sensing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187569.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">40</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">431</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">309</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">430</span> Performance Evaluation of GPS/INS Main Integration Approach </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Othman%20Maklouf">Othman Maklouf</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Adwaib"> Ahmed Adwaib </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces a comparative study between the main GPS/INS coupling schemes, this will include the loosely coupled and tightly coupled configurations, several types of situations and operational conditions, in which the data fusion process is done using Kalman filtering. This will include the importance of sensors calibration as well as the alignment of the strap down inertial navigation system. The limitations of the inertial navigation systems are investigated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GPS" title="GPS">GPS</a>, <a href="https://publications.waset.org/abstracts/search?q=INS" title=" INS"> INS</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalman%20filter" title=" Kalman filter"> Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor%20calibration" title=" sensor calibration"> sensor calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=navigation%20system" title=" navigation system"> navigation system</a> </p> <a href="https://publications.waset.org/abstracts/1700/performance-evaluation-of-gpsins-main-integration-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1700.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">590</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">429</span> Efficiency Improvement of REV-Method for Calibration of Phased Array Antennas</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Hristov">Daniel Hristov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper describes the principle of operation, simulation and physical validation of method for simultaneous acquisition of gain and phase states of multiple antenna elements and the corresponding feed lines across a Phased Array Antenna (PAA). The derived values for gain and phase are used for PAA-calibration. The method utilizes the Rotating-Element Electric- Field Vector (REV) principle currently used for gain and phase state estimation of single antenna element across an active antenna aperture. A significant reduction of procedure execution time is achieved with simultaneous setting of different phase delays to multiple phase shifters, followed by a single power measurement. The initial gain and phase states are calculated using spectral and correlation analysis of the measured power series. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=antenna" title="antenna">antenna</a>, <a href="https://publications.waset.org/abstracts/search?q=antenna%20arrays" title=" antenna arrays"> antenna arrays</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration" title=" calibration"> calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=phase%20measurement" title=" phase measurement"> phase measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20measurement" title=" power measurement"> power measurement</a> </p> <a href="https://publications.waset.org/abstracts/122649/efficiency-improvement-of-rev-method-for-calibration-of-phased-array-antennas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/122649.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">137</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">428</span> Item Response Calibration/Estimation: An Approach to Adaptive E-Learning System Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adeniran%20Adetunji">Adeniran Adetunji</a>, <a href="https://publications.waset.org/abstracts/search?q=Babalola%20M.%20Florence"> Babalola M. Florence</a>, <a href="https://publications.waset.org/abstracts/search?q=Akande%20Ademola"> Akande Ademola</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we made an overview on the concept of adaptive e-Learning system, enumerates the elements of adaptive learning concepts e.g. A pedagogical framework, multiple learning strategies and pathways, continuous monitoring and feedback on student performance, statistical inference to reach final learning strategy that works for an individual learner by “mass-customization”. Briefly highlights the motivation of this new system proposed for effective learning teaching. E-Review literature on the concept of adaptive e-learning system and emphasises on the Item Response Calibration, which is an important approach to developing an adaptive e-Learning system. This paper write-up is concluded on the justification of item response calibration/estimation towards designing a successful and effective adaptive e-Learning system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adaptive%20e-learning%20system" title="adaptive e-learning system">adaptive e-learning system</a>, <a href="https://publications.waset.org/abstracts/search?q=pedagogical%20framework" title=" pedagogical framework"> pedagogical framework</a>, <a href="https://publications.waset.org/abstracts/search?q=item%20response" title=" item response"> item response</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20applications" title=" computer applications"> computer applications</a> </p> <a href="https://publications.waset.org/abstracts/5647/item-response-calibrationestimation-an-approach-to-adaptive-e-learning-system-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5647.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">596</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">427</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">426</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">425</span> Data Modeling and Calibration of In-Line Pultrusion and Laser Ablation Machine Processes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=David%20F.%20Nettleton">David F. Nettleton</a>, <a href="https://publications.waset.org/abstracts/search?q=Christian%20Wasiak"> Christian Wasiak</a>, <a href="https://publications.waset.org/abstracts/search?q=Jonas%20Dorissen"> Jonas Dorissen</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Gillen"> David Gillen</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexandr%20Tretyak"> Alexandr Tretyak</a>, <a href="https://publications.waset.org/abstracts/search?q=Elodie%20Bugnicourt"> Elodie Bugnicourt</a>, <a href="https://publications.waset.org/abstracts/search?q=Alejandro%20Rosales"> Alejandro Rosales</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, preliminary results are given for the modeling and calibration of two inline processes, pultrusion, and laser ablation, using machine learning techniques. The end product of the processes is the core of a medical guidewire, manufactured to comply with a user specification of diameter and flexibility. An ensemble approach is followed which requires training several models. Two state of the art machine learning algorithms are benchmarked: Kernel Recursive Least Squares (KRLS) and Support Vector Regression (SVR). The final objective is to build a precise digital model of the pultrusion and laser ablation process in order to calibrate the resulting diameter and flexibility of a medical guidewire, which is the end product while taking into account the friction on the forming die. The result is an ensemble of models, whose output is within a strict required tolerance and which covers the required range of diameter and flexibility of the guidewire end product. The modeling and automatic calibration of complex in-line industrial processes is a key aspect of the Industry 4.0 movement for cyber-physical systems. <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=data%20modeling" title=" data modeling"> data modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=industrial%20processes" title=" industrial processes"> industrial processes</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/79973/data-modeling-and-calibration-of-in-line-pultrusion-and-laser-ablation-machine-processes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79973.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">424</span> Effect of Testing Device Calibration on Liquid Limit Assessment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20O.%20Bayram">M. O. Bayram</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20B.%20Gencdal"> H. B. Gencdal</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20O.%20Fercan"> N. O. Fercan</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Basbug"> B. Basbug</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Liquid limit, which is used as a measure of soil strength, can be detected by Casagrande and fall-cone testing methods. The two methods majorly diverge from each other in terms of operator dependency. The Casagrande method that is applied according to ASTM D4318-17 standards may give misleading results, especially if the calibration process is not performed well. To reveal the effect of calibration for drop height and amount of soil paste placement in the Casagrande cup, a series of tests were carried out by multipoint method as it is specified in the ASTM standards. The tests include the combination of 6 mm, 8 mm, 10 mm, and 12 mm drop heights and under-filled, half-filled, and full-filled Casagrande cups by kaolinite samples. It was observed that during successive tests, the drop height of the cup deteriorated; hence the device was recalibrated before and after each test to provide the accuracy of the results. Besides, the tests by under-filled and full-filled samples for higher drop heights revealed lower liquid limit values than the lower drop heights revealed. For the half-filled samples, it was clearly seen that the liquid limit values didn’t change at all as the drop height increased, and this explains the function of standard specifications. <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=casagrande%20cup%20method" title=" casagrande cup method"> casagrande cup method</a>, <a href="https://publications.waset.org/abstracts/search?q=drop%20height" title=" drop height"> drop height</a>, <a href="https://publications.waset.org/abstracts/search?q=kaolinite" title=" kaolinite"> kaolinite</a>, <a href="https://publications.waset.org/abstracts/search?q=liquid%20limit" title=" liquid limit"> liquid limit</a>, <a href="https://publications.waset.org/abstracts/search?q=placing%20form" title=" placing form"> placing form</a> </p> <a href="https://publications.waset.org/abstracts/151571/effect-of-testing-device-calibration-on-liquid-limit-assessment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/151571.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">160</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">423</span> Artificial Neural Networks Based Calibration Approach for Six-Port Receiver</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nadia%20Chagtmi">Nadia Chagtmi</a>, <a href="https://publications.waset.org/abstracts/search?q=Nejla%20Rejab"> Nejla Rejab</a>, <a href="https://publications.waset.org/abstracts/search?q=Noureddine%20Boulejfen"> Noureddine Boulejfen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a calibration approach based on artificial neural networks (ANN) to determine the envelop signal (I+jQ) of a six-port based receiver (SPR). The memory effects called also dynamic behavior and the nonlinearity brought by diode based power detector have been taken into consideration by the ANN. Experimental set-up has been performed to validate the efficiency of this method. The efficiency of this approach has been confirmed by the obtained results in terms of waveforms. Moreover, the obtained error vector magnitude (EVM) and the mean absolute error (MAE) have been calculated in order to confirm and to test the ANN’s performance to achieve I/Q recovery using the output voltage detected by the power based detector. The baseband signal has been recovered using ANN with EVMs no higher than 1 % and an MAE no higher than 17, 26 for the SPR excited different type of signals such QAM (quadrature amplitude modulation) and LTE (Long Term Evolution). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=six-port%20based%20receiver%3B%20calibration" title="six-port based receiver; calibration">six-port based receiver; calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinearity" title=" nonlinearity"> nonlinearity</a>, <a href="https://publications.waset.org/abstracts/search?q=memory%20effect" title=" memory effect"> memory effect</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title=" artificial neural network"> artificial neural network</a> </p> <a href="https://publications.waset.org/abstracts/172006/artificial-neural-networks-based-calibration-approach-for-six-port-receiver" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/172006.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">77</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">422</span> Using Signature Assignments and Rubrics in Assessing Institutional Learning Outcomes and Student Learning </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Leigh%20Ann%20Wilson">Leigh Ann Wilson</a>, <a href="https://publications.waset.org/abstracts/search?q=Melanie%20Borrego"> Melanie Borrego</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of institutional learning outcomes (ILOs) is to assess what students across the university know and what they do not. The issue is gathering this information in a systematic and usable way. This presentation will explain how one institution has engineered this process for both student success and maximum faculty curriculum and course design input. At Brandman University, there are three levels of learning outcomes: course, program, and institutional. Institutional Learning Outcomes (ILOs) are mapped to specific courses. Faculty course developers write the signature assignments (SAs) in alignment with the Institutional Learning Outcomes for each course. These SAs use a specific rubric that is applied consistently by every section and every instructor. Each year, the 12-member General Education Team (GET), as a part of their work, conducts the calibration and assessment of the university-wide SAs and the related rubrics for one or two of the five ILOs. GET members, who are senior faculty and administrators who represent each of the university's schools, lead the calibration meetings. Specifically, calibration is a process designed to ensure the accuracy and reliability of evaluating signature assignments by working with peer faculty to interpret rubrics and compare scoring. These calibration meetings include the full time and adjunct faculty members who teach the course to ensure consensus on the application of the rubric. Each calibration session is chaired by a GET representative as well as the course custodian/contact where the ILO signature assignment resides. The overall calibration process GET follows includes multiple steps, such as: contacting and inviting relevant faculty members to participate; organizing and hosting calibration sessions; and reviewing and discussing at least 10 samples of student work from class sections during the previous academic year, for each applicable signature assignment. Conversely, the commitment for calibration teams consist of attending two virtual meetings lasting up to three hours in duration. The first meeting focuses on interpreting the rubric, and the second meeting involves comparing scores for sample work and sharing feedback about the rubric and assignment. Next, participants are expected to follow all directions provided and participate actively, and respond to scheduling requests and other emails within 72 hours. The virtual meetings are recorded for future institutional use. Adjunct faculty are paid a small stipend after participating in both calibration meetings. Full time faculty can use this work on their annual faculty report for "internal service" credit. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=assessment" title="assessment">assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=assurance%20of%20learning" title=" assurance of learning"> assurance of learning</a>, <a href="https://publications.waset.org/abstracts/search?q=course%20design" title=" course design"> course design</a>, <a href="https://publications.waset.org/abstracts/search?q=institutional%20learning%20outcomes" title=" institutional learning outcomes"> institutional learning outcomes</a>, <a href="https://publications.waset.org/abstracts/search?q=rubrics" title=" rubrics"> rubrics</a>, <a href="https://publications.waset.org/abstracts/search?q=signature%20assignments" title=" signature assignments"> signature assignments</a> </p> <a href="https://publications.waset.org/abstracts/59750/using-signature-assignments-and-rubrics-in-assessing-institutional-learning-outcomes-and-student-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59750.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">280</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">421</span> Performance Analysis of New Types of Reference Targets Based on Spaceborne and Airborne SAR Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Y.%20S.%20Zhou">Y. S. Zhou</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20R.%20Li"> C. R. Li</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20L.%20Tang"> L. L. Tang</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20X.%20Gao"> C. X. Gao</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20J.%20Wang"> D. J. Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Y.%20Guo"> Y. Y. Guo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Triangular trihedral corner reflector (CR) has been widely used as point target for synthetic aperture radar (SAR) calibration and image quality assessment. The additional “tip” of the triangular plate does not contribute to the reflector’s theoretical RCS and if it interacts with a perfectly reflecting ground plane, it will yield an increase of RCS at the radar bore-sight and decrease the accuracy of SAR calibration and image quality assessment. Regarding this problem, two types of CRs were manufactured. One was the hexagonal trihedral CR. It is a self-illuminating CR with relatively small plate edge length, while large edge length usually introduces unexpected edge diffraction error. The other was the triangular trihedral CR with extended bottom plate which considers the effect of ‘tip’ into the total RCS. In order to assess the performance of the two types of new CRs, flight campaign over the National Calibration and Validation Site for High Resolution Remote Sensors was carried out. Six hexagonal trihedral CRs and two bottom-extended trihedral CRs, as well as several traditional triangular trihedral CRs, were deployed. KOMPSAT-5 X-band SAR image was acquired for the performance analysis of the hexagonal trihedral CRs. C-band airborne SAR images were acquired for the performance analysis of the bottom-extended trihedral CRs. The analysis results showed that the impulse response function of both the hexagonal trihedral CRs and bottom-extended trihedral CRs were much closer to the ideal sinc-function than the traditional triangular trihedral CRs. The flight campaign results validated the advantages of new types of CRs and they might be useful in the future SAR calibration mission. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=synthetic%20aperture%20radar" title="synthetic aperture radar">synthetic aperture radar</a>, <a href="https://publications.waset.org/abstracts/search?q=calibration" title=" calibration"> calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=corner%20reflector" title=" corner reflector"> corner reflector</a>, <a href="https://publications.waset.org/abstracts/search?q=KOMPSAT-5" title=" KOMPSAT-5"> KOMPSAT-5</a> </p> <a href="https://publications.waset.org/abstracts/46986/performance-analysis-of-new-types-of-reference-targets-based-on-spaceborne-and-airborne-sar-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46986.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">272</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">420</span> Development of Advanced Linear Calibration Technique for Air Flow Sensing by Using CTA-Based Hot Wire Anemometry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ming-Jong%20Tsai">Ming-Jong Tsai</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20M.%20Wu"> T. M. Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20C.%20Chu"> R. C. Chu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study is to develop an Advanced linear calibration Technique for air flow sensing by using CTA-based Hot wire Anemometry. It contains a host PC with Human Machine Interface, a wind tunnel, a wind speed controller, an automatic data acquisition module, and nonlinear calibration model. To improve the fitting error by using single fitting polynomial, this study proposes a Multiple three-order Polynomial Fitting Method (MPFM) for fitting the non-linear output of a CTA-based Hot wire Anemometry. The CTA-based anemometer with built-in fitting parameters is installed in the wind tunnel, and the wind speed is controlled by the PC-based controller. The Hot-Wire anemometer's thermistor resistance change is converted into a voltage signal or temperature differences, and then sent to the PC through a DAQ card. After completion measurements of original signal, the Multiple polynomial mathematical coefficients can be automatically calculated, and then sent into the micro-processor in the Hot-Wire anemometer. Finally, the corrected Hot-Wire anemometer is verified for the linearity, the repeatability, error percentage, and the system outputs quality control reports. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flow%20rate%20sensing" title="flow rate sensing">flow rate sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=hot%20wire" title=" hot wire"> hot wire</a>, <a href="https://publications.waset.org/abstracts/search?q=constant%20temperature%20anemometry%20%28CTA%29" title=" constant temperature anemometry (CTA)"> constant temperature anemometry (CTA)</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20calibration" title=" linear calibration"> linear calibration</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20three-order%20polynomial%20fitting%20method%20%28MPFM%29" title=" multiple three-order polynomial fitting method (MPFM)"> multiple three-order polynomial fitting method (MPFM)</a>, <a href="https://publications.waset.org/abstracts/search?q=temperature%20compensation" title=" temperature compensation"> temperature compensation</a> </p> <a href="https://publications.waset.org/abstracts/24601/development-of-advanced-linear-calibration-technique-for-air-flow-sensing-by-using-cta-based-hot-wire-anemometry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24601.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">416</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">419</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> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=OSA%20calibration&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=OSA%20calibration&page=3">3</a></li> <li class="page-item"><a class="page-link" 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