Tooth Cementum Annulation Method: Accuracy and Applicability

2009 ◽  
pp. 184-189 ◽  
Author(s):  
Zuzana Obertová ◽  
Michael Francken
Keyword(s):  
Method Accuracy

A COMPARATIVE HYPERSPECTRAL STUDY OF HYDROCARBON SEEPAGES NEAR UVALDE, TEXAS: AN ANALYSIS OF CLASSIFICATION METHOD ACCURACY

2017 ◽  
Author(s):  
Macey Crockett ◽  
◽  
Shuhab D. Khan ◽  
Virginia Alonso de Linaje ◽  
Lei Sun
Keyword(s):  
Classification Method ◽  
Method Accuracy

scholarly journals Robot Localisation Using UHF-RFID Tags: A Kalman Smoother Approach †

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 717
Author(s):  
Farhad Shamsfakhr ◽  
Andrea Motroni ◽  
Luigi Palopoli ◽  
Alice Buffi ◽  
Paolo Nepa ◽  
...  
Keyword(s):  
Autonomous Vehicles ◽  
Uhf Rfid ◽  
Missing Measurements ◽  
Kalman Smoother ◽  
Vehicle Trajectories ◽  
Angular Velocities ◽  
Reference Tags ◽  
Entire Trajectory ◽  
Method Accuracy ◽  
Mean Square Errors

Autonomous vehicles enable the development of smart warehouses and smart factories with an increased visibility, flexibility and efficiency. Thus, effective and affordable localisation methods for indoor vehicles are attracting interest to implement real-time applications. This paper presents an Extended Kalman Smoother design to both localise a mobile agent and reconstruct its entire trajectory through a sensor-fusion employing the UHF-RFID passive technology. Extensive simulations are carried out by considering the smoother optimal-window length and the effect of missing measurements from reference tags. Monte Carlo simulations are conducted for different vehicle trajectories and for different linear and angular velocities to evaluate the method accuracy. Then, an experimental analysis with a unicycle wheeled robot is performed in real indoor scenario, showing a position and orientation root mean square errors of 15 cm, and 0.2 rad, respectively.

Le développement d'une nouvelle procédure d'autoprotection dans le cadre de la méthode des taux de réaction effectifs

1998 ◽  
Vol 76 (1) ◽  
pp. 47-62
Author(s):  
H Saygin
Keyword(s):  
Cross Section ◽  
Equivalence Principle ◽  
The Self ◽  
New Technique ◽  
Slowing Down ◽  
A New Technique ◽  
Method Accuracy ◽  
Shielding Methods ◽  
Computing Approach

The major problem of the self-shielding methods based on the equivalence principle is the difficulty of calculating the dilution cross section σe with adequate precision. We have proposed a new self-shielding procedure that contains a new technique to calculate dilution cross section. We have compared our method to the generalized Stamm'ler method. Accuracy of each computing approach is determined using reference results obtained from a micro-group slowing-down code named CESCOL.

scholarly journals Android skin cancer detection and classification based on MobileNet v2 model

2020 ◽  
Vol 6 (2) ◽  
pp. 135
Author(s):  
Adi Wibowo ◽  
Cahyo Adhi Hartanto ◽  
Panji Wisnu Wirawan
Keyword(s):  
Image Analysis ◽  
Skin Cancer ◽  
Object Detection ◽  
Cancer Detection ◽  
Cancer Diagnosis ◽  
Learning Algorithm ◽  
Computing Time ◽  
Classification Model ◽  
Method Accuracy ◽  
Skin Cancer Detection

The latest developments in the smartphone-based skin cancer diagnosis application allow simple ways for portable melanoma risk assessment and diagnosis for early skin cancer detection. Due to the trade-off problem (time complexity and error rate) on using a smartphone to run a machine learning algorithm for image analysis, most of the skin cancer diagnosis apps execute the image analysis on the server. In this study, we investigate the performance of skin cancer images detection and classification on android devices using the MobileNet v2 deep learning model. We compare the performance of several aspects; object detection and classification method, computer and android based image analysis, image acquisition method, and setting parameter. Skin cancer actinic Keratosis and Melanoma are used to test the performance of the proposed method. Accuracy, sensitivity, specificity, and running time of the testing methods are used for the measurement. Based on the experiment results, the best parameter for the MobileNet v2 model on android using images from the smartphone camera produces 95% accuracy for object detection and 70% accuracy for classification. The performance of the android app for object detection and classification model was feasible for the skin cancer analysis. Android-based image analysis remains within the threshold of computing time that denotes convenience for the user and has the same performance accuracy with the computer for the high-quality images. These findings motivated the development of disease detection processing on android using a smartphone camera, which aims to achieve real-time detection and classification with high accuracy.

scholarly journals Quasistatic Nonlinear Analysis of a Drill Pipe in Subsea Xmas Tree Installation

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Haozhi Qin ◽  
Jian Liu ◽  
Wensheng Xiao ◽  
Bingxiang Wang
Keyword(s):  
Nonlinear Analysis ◽  
Wave Height ◽  
Drill Pipe ◽  
Beam Theory ◽  
Sea State ◽  
Variable Parameters ◽  
Towing Speed ◽  
Stress And Deformation ◽  
Method Accuracy ◽  
Euler Bernoulli Beam

To analyse the stress and deformation of a drill pipe during the lowering of a subsea Xmas tree, a mechanical analytical model and equation were established based on Euler-Bernoulli beam theory. The wave phase is selected as one of the variable parameters for analysis of the deformation and stress of the drill pipe. The research results indicate that the maximum response occurs at 0 radians in the scope of 0 to 2π, and the quasistatic nonlinear analysis is analysed at 0. In addition, Orcaflex software is applied for simulation, and the simulation results are compared with the results from proposed method, which demonstrate the model and the method accuracy. Factors that affect the installation process are discussed, such as current velocity, wave height, pipe size, and towing speed. The results show that all factors have remarkable effects on stress and deformation and that the wave height has a lesser effect on the deformation of the drill pipe. The viable towing speed is chosen by discussing the total stress of the drill pipe with various towing speeds and is notably useful for installation in the real sea state.

Numerical algorithm for predicting wheel flange wear in trams – Validation in a curved track

2019 ◽  
Vol 234 (10) ◽  
pp. 1156-1169
Author(s):  
Bartosz Łuczak ◽  
Bartosz Firlik ◽  
Tomasz Staśkiewicz ◽  
Wojciech Sumelka
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Computational Effort ◽  
Wheel Wear ◽  
Curved Track ◽  
Method Accuracy ◽  
Elliptic Contact ◽  
Method Analysis ◽  
Good Agreement ◽  
Element Method

In tram operations, flange wear is predominant due to the low-radius curves and inappropriate technical conditions of the infrastructure; hence, investigations should be focused on the interaction between the wheel flange and the rail gauge corner. Moreover, the calculation methods based on the Hertzian model (elliptic contact patch) provide less accurate results due to the contact occurrence in the wheel flange region. This paper presents a methodology of a finite element method to predict the tram wheel wear in complex motions. The new procedure is based on the Abaqus software and several other sub-procedures written in Python and Fortran. Multibody simulations were used to determine the wheel–rail alignment. In this method, accuracy was chosen at the expense of the computational effort. The main steps are: preparation of models and ride scenarios, multibody simulation for calculating the wheel–rail alignment for different track scenarios and multiple runs of finite element method analysis to determine the wear magnitude. The proposed methodology presents a good agreement with the measurements and can be considered as guidelines for a proper configuration of the flange-designing experimental setup where the influence of the technical conditions of the infrastructure should be introduced adequately.

scholarly journals Optical Enhancement of Exoskeleton-Based Estimation of Glenohumeral Angles

2016 ◽  
Vol 2016 ◽  
pp. 1-20 ◽  
Author(s):  
Camilo Cortés ◽  
Luis Unzueta ◽  
Ana de los Reyes-Guzmán ◽  
Oscar E. Ruiz ◽  
Julián Flórez
Keyword(s):  
Estimation Method ◽  
Position Estimation ◽  
Accurate Estimation ◽  
Joint Angles ◽  
Estimation Errors ◽  
Marker Position ◽  
Human Movements ◽  
Posture Estimation ◽  
Kinematic Models ◽  
Method Accuracy

In Robot-Assisted Rehabilitation (RAR) the accurate estimation of the patient limb joint angles is critical for assessing therapy efficacy. In RAR, the use of classic motion capture systems (MOCAPs) (e.g., optical and electromagnetic) to estimate the Glenohumeral (GH) joint angles is hindered by the exoskeleton body, which causes occlusions and magnetic disturbances. Moreover, the exoskeleton posture does not accurately reflect limb posture, as their kinematic models differ. To address the said limitations in posture estimation, we propose installing the cameras of an optical marker-based MOCAP in the rehabilitation exoskeleton. Then, the GH joint angles are estimated by combining the estimated marker poses and exoskeleton Forward Kinematics. Such hybrid system prevents problems related to marker occlusions, reduced camera detection volume, and imprecise joint angle estimation due to the kinematic mismatch of the patient and exoskeleton models. This paper presents the formulation, simulation, and accuracy quantification of the proposed method with simulated human movements. In addition, a sensitivity analysis of the method accuracy to marker position estimation errors, due to system calibration errors and marker drifts, has been carried out. The results show that, even with significant errors in the marker position estimation, method accuracy is adequate for RAR.

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