General-purpose lidar system model with experimental validation in fog, oil, and smoke conditions

2002 ◽  
Author(s):  
John W. Giles ◽  
Isaac N. Bankman ◽  
Raymond M. Sova ◽  
William J. Green ◽  
Tonette R. King ◽  
...  
Keyword(s):  
Experimental Validation ◽  
General Purpose ◽  
System Model ◽  
Lidar System

scholarly journals Lidar system model for use with path obscurants and experimental validation

2008 ◽  
Vol 47 (22) ◽  
pp. 4085 ◽  
Author(s):  
J. W. Giles ◽  
I. N. Bankman ◽  
R. M. Sova ◽  
T. R. Morgan ◽  
D. D. Duncan ◽  
...  
Keyword(s):  
Experimental Validation ◽  
System Model ◽  
Lidar System

scholarly journals Design of a Wearable Eye-Movement Detection System Based on Electrooculography Signals and Its Experimental Validation

Biosensors ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 343
Author(s):  
Chin-Teng Lin ◽  
Wei-Ling Jiang ◽  
Sheng-Fu Chen ◽  
Kuan-Chih Huang ◽  
Lun-De Liao
Keyword(s):  
Eye Movement ◽  
Experimental Validation ◽  
Hardware Implementation ◽  
Detection System ◽  
Real Life ◽  
People With Disabilities ◽  
Research Area ◽  
General Purpose ◽  
Classification Algorithm ◽  
Human Computer Interface

In the assistive research area, human–computer interface (HCI) technology is used to help people with disabilities by conveying their intentions and thoughts to the outside world. Many HCI systems based on eye movement have been proposed to assist people with disabilities. However, due to the complexity of the necessary algorithms and the difficulty of hardware implementation, there are few general-purpose designs that consider practicality and stability in real life. Therefore, to solve these limitations and problems, an HCI system based on electrooculography (EOG) is proposed in this study. The proposed classification algorithm provides eye-state detection, including the fixation, saccade, and blinking states. Moreover, this algorithm can distinguish among ten kinds of saccade movements (i.e., up, down, left, right, farther left, farther right, up-left, down-left, up-right, and down-right). In addition, we developed an HCI system based on an eye-movement classification algorithm. This system provides an eye-dialing interface that can be used to improve the lives of people with disabilities. The results illustrate the good performance of the proposed classification algorithm. Moreover, the EOG-based system, which can detect ten different eye-movement features, can be utilized in real-life applications.

SU-F-J-41: Experimental Validation of a Cascaded Linear System Model for MVCBCT with a Multi-Layer EPID

2016 ◽  
Vol 43 (6Part9) ◽  
pp. 3415-3415
Author(s):  
Y Hu ◽  
R Fueglistaller ◽  
J Rottmann ◽  
M Myronakis ◽  
A Wang ◽  
...  
Keyword(s):  
Linear System ◽  
Experimental Validation ◽  
System Model

scholarly journals Experimental validation of a three-dimensional linear system model for breast tomosynthesis

2008 ◽  
Vol 36 (1) ◽  
pp. 240-251 ◽  
Author(s):  
Bo Zhao ◽  
Jun Zhou ◽  
Yue-Houng Hu ◽  
Thomas Mertelmeier ◽  
Jasmina Ludwig ◽  
...  
Keyword(s):  
Linear System ◽  
Experimental Validation ◽  
Three Dimensional ◽  
System Model ◽  
Breast Tomosynthesis

scholarly journals A general-purpose protein design framework based on mining sequence–structure relationships in known protein structures

2019 ◽  
Vol 117 (2) ◽  
pp. 1059-1068 ◽  
Author(s):  
Jianfu Zhou ◽  
Alexandra E. Panaitiu ◽  
Gevorg Grigoryan
Keyword(s):  
Protein Design ◽  
Experimental Validation ◽  
Protein Structures ◽  
Data Bank ◽  
General Purpose ◽  
Design Framework ◽  
Sequence Structure ◽  
Current State ◽  
Computational Analyses ◽  
Physical Principles

Current state-of-the-art approaches to computational protein design (CPD) aim to capture the determinants of structure from physical principles. While this has led to many successful designs, it does have strong limitations associated with inaccuracies in physical modeling, such that a reliable general solution to CPD has yet to be found. Here, we propose a design framework—one based on identifying and applying patterns of sequence–structure compatibility found in known proteins, rather than approximating them from models of interatomic interactions. We carry out extensive computational analyses and an experimental validation for our method. Our results strongly argue that the Protein Data Bank is now sufficiently large to enable proteins to be designed by using only examples of structural motifs from unrelated proteins. Because our method is likely to have orthogonal strengths relative to existing techniques, it could represent an important step toward removing remaining barriers to robust CPD.

A Controllable Membrane-Type Humidifier for Fuel Cell Applications—Part I: Operation, Modeling and Experimental Validation

2010 ◽  
Vol 7 (5) ◽  
Author(s):  
Denise A. McKay ◽  
Anna G. Stefanopoulou ◽  
Jeffrey Cook
Keyword(s):  
Fuel Cell ◽  
Feedback Control ◽  
First Principles ◽  
Proton Exchange Membrane ◽  
Experimental Validation ◽  
Proton Exchange ◽  
System Model ◽  
Temperature And Pressure ◽  
Membrane Type ◽  
Exchange Membrane

For temperature and humidity control of proton exchange membrane fuel cell (PEMFC) reactants, a membrane based external humidification system was designed and constructed. Here we develop and validate a physics based, low-order, control-oriented model of the external humidification system dynamics based on first principles. This model structure enables the application of feedback control for thermal and humidity management of the fuel cell reactants. The humidification strategy posed here deviates from standard internal humidifiers that are relatively compact and cheap but prohibit active humidity regulation and couple reactant humidity requirements to the PEMFC cooling demands. Additionally, in developing our model, we reduced the number of sensors required for feedback control by employing a dynamic physics based estimation of the air-vapor mixture relative humidity leaving the humidification system (supplied to the PEMFC) using temperature and pressure measurements. A simple and reproducible methodology is then employed for parameterizing the humidification system model using experimental data.

scholarly journals An alternative and indirect statistical modeling method for viscosity estimation and its experimental validation for low styrene content polyester resin

2018 ◽  
Vol 20 (4) ◽  
pp. 60-65
Author(s):  
Ahmad Nawaz ◽  
Bilal Islam ◽  
M. Zafar Ijaz ◽  
Umar Saleem ◽  
M. Sadiq Khattak ◽  
...  
Keyword(s):  
Experimental Validation ◽  
Polyester Resin ◽  
Oil Industry ◽  
General Purpose ◽  
Viscosity Measurement ◽  
Percentage Error ◽  
Statistical Relation ◽  
Proposed Model ◽  
Styrene Content ◽  
Ubbelohde Viscometer

Abstract We propose an indirect method of ASTM D-1200 for measurement of viscosity from 0.1 to 30 stokes (St) using Ford cup 5 (range 2~ 12 St) by developing a statistical relation. General purpose low styrene content polyester resin (without adding initiator, hardener and accelerator) was used for viscosity measurement. In existing ASTM D 1200 standard, ford cups (1-4) are used to measure the viscosity up to 2 St, while fifth cup is used for measurement from 2 to 12 St. Viscosity above 12 St is not estimated using existing ASTM D- 1200 method. In contrast, our method and statistical relation proposed in this paper estimates viscosity in the flexible range of 0.1 to 30 St by using Ford cup 5 only. The estimated values were confirmed by existing ASTM D-1200 (0.1 to 12 St) and by using Ubbelohde viscometer (12 to 30 St). Values estimated above 12 St are from the proposed model are also in good conformance (percentage error ~ 5% or less) with experimental results. The satisfaction level of the estimated values with the experiments suggests that the model has also the potential for application to paints, polymer and oil industry.

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