Rapid acceptance testing of modern linac using on-board MV and kV imaging systems

2017 ◽  
Vol 44 (7) ◽  
pp. 3393-3406 ◽  
Author(s):  
Sridhar Yaddanapudi ◽  
Bin Cai ◽  
Taylor Harry ◽  
Steven Dolly ◽  
Baozhou Sun ◽  
...  
Keyword(s):  
Imaging Systems ◽  
Acceptance Testing

scholarly journals Acceptance testing of magnetic resonance imaging systems: Report of AAPM Nuclear Magnetic Resonance Task Group No. 6

1992 ◽  
Vol 19 (1) ◽  
pp. 217-229 ◽  
Author(s):  
Joseph G. Och ◽  
Geoffrey D. Clarke ◽  
Wladyslaw T. Sobol ◽  
Coleman W. Rosen ◽  
Seong Ki Mun
Keyword(s):  
Magnetic Resonance Imaging ◽  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Task Group ◽  
Imaging Systems ◽  
Acceptance Testing ◽  
Resonance Imaging ◽  
Nuclear Magnetic

Acceptance testing of radiologic systems: experience in testing 129 imaging systems at two major medical facilities.

Radiology ◽  
1992 ◽  
Vol 183 (2) ◽  
pp. 563-567 ◽  
Author(s):  
R E Nelson ◽  
J G Stears ◽  
G T Barnes ◽  
J E Gray
Keyword(s):  
Imaging Systems ◽  
Acceptance Testing ◽  
Medical Facilities

Acceptance Testing and Quality Control of Photostimulable Storage Phosphor Imaging Systems

10.37206/94 ◽  
2006 ◽  
Author(s):  
J. Anthony Seibert ◽  
Terese Bogucki ◽  
Ted Ciona ◽  
Walter Huda ◽  
Andrew Karellas ◽  
...  
Keyword(s):  
Quality Control ◽  
Imaging Systems ◽  
Acceptance Testing ◽  
Storage Phosphor

Report of AAPM Task Group 272: Comprehensive acceptance testing and evaluation of fluoroscopy imaging systems

2022 ◽  
Author(s):  
Pei‐Jan Paul Lin ◽  
Allen R. Goode ◽  
Frank D. Corwin ◽  
Ryan F. Fisher ◽  
Stephen Balter ◽  
...  
Keyword(s):  
Task Group ◽  
Imaging Systems ◽  
Acceptance Testing ◽  
Testing And Evaluation

Digital imaging and quantitative image analysis of polymer blends

1996 ◽  
Vol 54 ◽  
pp. 170-171
Author(s):  
Xiao Zhang
Keyword(s):  
Digital Imaging ◽  
Imaging Techniques ◽  
Imaging Systems ◽  
Polymer Science ◽  
Key Factors ◽  
Multiple Imaging ◽  
Quantitative Image ◽  
Digital Imaging Systems ◽  
Multi Phase ◽  
Network Technologies

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.

Developing a Web-based Application for Energy Supply Systems

2019 ◽  
Vol 2 (3) ◽  
pp. 164-169
Author(s):  
Mohammed Faza ◽  
Maulahikmah Galinium ◽  
Matthias Guenther
Keyword(s):  
Energy Supply ◽  
Power Plants ◽  
Acceptance Testing ◽  
Design Activity ◽  
Unit Testing ◽  
Validity Testing ◽  
Energy Supply System ◽  
Time Series Modelling ◽  
Supply Systems ◽  
Energy Supply Systems

An energy supply system consists of a system of power plants and transmission anddistribution systems that supply electrical energy. The present project is limited to the modellingof the generation system. Its objective is the design and implementation of a web-basedapplication for simulating energy supply systems using the Laravel framework. The projectfocuses on six modules representing geothermal energy, solar energy, biopower, hydropower,storage, and fossil-based energy that are allocated to satisfy a given power demand. It isexecuted as a time series modelling for an exemplary year with hourly resolution. Thedevelopment of the software is divided into four steps, which are the definition of the userrequirements, the system design (activity, use case, system architecture, and ERD), the softwaredevelopment, and the software testing (unit testing, functionality testing, validity testing, anduser acceptance testing). The software is successfully implemented. All the features of thesoftware work as intended. Also, the software goes through validity testing using three differentinput data, to make sure the software is accurate. The result of the testing is 100% accuracy withrespect to the underlying model that was implemented in an excel calculation.

Developing Food Sensory Analysis Information System using Waterfall Software Engineering Model

2017 ◽  
Vol 4 (2) ◽  
pp. 63-81
Author(s):  
Stefanus Oliver ◽  
Abdullah Muzi Marpaung ◽  
Maulahikmah Galinium
Keyword(s):  
Software Engineering ◽  
Sensory Analysis ◽  
Acceptance Testing ◽  
Design Activity ◽  
User Requirements ◽  
Human Errors ◽  
Web Based ◽  
Entity Relationship ◽  
Entity Relationship Diagram ◽  
Analysis System

Food sensory analysis is the terms from the field of Food Technology that has a meaning which means sensory evaluation of food that is conducted by the food sensory evaluators. Currently, food sensory analysis is conductedmanually. It can caus e human errors and consume much ti me. The objective of this research is to build a web based application that is specific for food sensory analysis using PHP programming language. This research followsfour first steps of waterfall software engineering mod el which are user requirements ana lysis (user software and requirements analysis), system design (activity, use cases, architecture, and entity relationship diagram),implementation (software development), and testing (software unit, functionality, validit y, and user acceptance testing). T he software result is well built. It is also acceptable for users and all functionality features can run well after going through those four software testing. The existence of the software brings easiness to deal with the manual food sensory analysis exper iment. It is considered also for the future it has business value by having open source and premium features.

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