Does Visualization Speed Up the Safety Analysis Process?

2014 ◽  
pp. 431-443
Author(s):  
Ragaad AlTarawneh ◽  
Max Steiner ◽  
Davide Taibi ◽  
Shah Rukh Humayoun ◽  
Peter Liggesmeyer
Keyword(s):  
Safety Analysis ◽  
Analysis Process ◽  
Speed Up

High-Throughput Data Analysis of Proteomic Mass Spectra on the SwissBioGrid

2011 ◽  
pp. 228-244
Author(s):  
Andreas Quandt ◽  
Sergio Maffioletti ◽  
Cesare Pautasso ◽  
Heinz Stockinger ◽  
Frederique Lisacek
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
High Throughput ◽  
Protein Function ◽  
Mass Spectra ◽  
High Throughput Data ◽  
Analysis Process ◽  
Speed Up ◽  
Grid Infrastructures ◽  
High Throughput Data Analysis

Proteomics is currently one of the most promising fields in bioinformatics as it provides important insights into the protein function of organisms. Mass spectrometry is one of the techniques to study the proteome, and several software tools exist for this purpose. The authors provide an extendable software platform called swissPIT that combines different existing tools and exploits Grid infrastructures to speed up the data analysis process for the proteomics pipeline.

New Approaches to the Automated Analysis of Ultrasonic In-Line Inspection Data

2004 ◽  
Author(s):  
H. Willems ◽  
K. Reber ◽  
M. Zo¨llner ◽  
M. Ziegenmeyer
Keyword(s):  
Neural Networks ◽  
Automated Analysis ◽  
Support Vector ◽  
Metal Loss ◽  
The Past ◽  
Analysis Process ◽  
Vector Machines ◽  
Speed Up ◽  
Size Limits ◽  
Inspection Data

Inline inspection of pipelines by means of intelligent pigs usually results in large amounts of data that are analyzed offline by human experts. In order to increase the reliability of the data analysis process as well as to speed up analysis times methods of artificial intelligence such as neural networks have been used in the past with more or less success. The basic requirement for any technique to be used in practice is that no relevant features should be overlooked while keeping the false call rate as low as possible. For the task of automated analysis of in-line inspection data obtained from ultrasonic metal loss inspections, we have developed a two-stage approach. In a first step (called boxing), any defect candidates exceeding the specified size limits are recognized and described by a surrounding box. In the second step, all boxes from step 1 are analyzed yielding basically a relevant/non relevant decision. Each feature considered to be relevant is then classified according to a given set of feature classes. In order to efficiently perform step 2, we have adapted the SVM (support vector machines) algorithm which offers some important advantages compared to, for example, neural networks. We describe the approach applied, and examples as obtained from in-line inspection data are presented.

Safety Analysis and Risk Assessment for Pressure Systems

2003 ◽  
Author(s):  
Boris Blyukher
Keyword(s):  
System Analysis ◽  
Hazard Analysis ◽  
Safety Analysis ◽  
Risk Level ◽  
Analysis And Design ◽  
Analysis Process ◽  
Major Factors ◽  
Serious Injuries ◽  
And Control ◽  
Research Facilities

There have been many instances where serious injuries and fatalities have resulted from over-pressurization, thermal stress, asphyxiation and other potential hazards associated with testing, handling and storage of compressed gases and pressure facilities at numerous production and research facilities. These hazards are major issues that should be addressed in system design and in materials selection appropriate for high pressure applications. Potential hazards may be mitigated through system analysis and design process which are the major factors in preventing thermal/pressure hazards caused by possible leaks and fragmentation, in the case of rupture. This paper presents a conceptual model and framework for developing a safety analysis which will reduce potential hazards, accidents and legal liabilities. The proposed systematic approach allows to identify hazards provide timely documentation of potential hazards and risks associated with systems, facilities, and equipment. As a result of this hazard analysis process, provisions and actions for hazard prevention and control have been put in place, and all identifiable potential hazards can be reduced to a low risk level.

Efficient Calculation of Low Frequency Motions for Air-Gap Prediction

2018 ◽  
Author(s):  
Zhiyuan Pan ◽  
Torgeir Kirkhorn Vada ◽  
Arne Nestegård
Keyword(s):  
Potential Flow ◽  
Low Frequency ◽  
Air Gap ◽  
Second Order ◽  
Short Term ◽  
Sea State ◽  
Order Analysis ◽  
Analysis Process ◽  
Efficient Calculation ◽  
Speed Up

The importance of the low frequency motions to air-gap estimation is evaluated on a column-based unit by using a computer program based on the linear and second-order potential theory. First and second order upwells are combined statistically and examined for different short term sea state conditions. To be able to speed up the analysis process, the potential flow code used in this study had been optimized in efficiency by introducing the multithreaded computation for the iterations of second order analysis.

scholarly journals Using TAGs to speed up the ATLAS analysis process

2011 ◽  
Vol 331 (3) ◽  
pp. 032007 ◽  
Author(s):  
W Ehrenfeld ◽  
R Buckingham ◽  
J Cranshaw ◽  
T Cuhadar Donszelmann ◽  
T Doherty ◽  
...  
Keyword(s):  
Analysis Process ◽  
Speed Up

Design and Safety Analysis of a Kind of UO2 Pellets Transport Container

2018 ◽  
Author(s):  
Shutang Sun ◽  
Dongyuan Meng ◽  
Guoqiang Li ◽  
Hongchao Sun ◽  
Jiangang Zhang ◽  
...  
Keyword(s):  
Water Immersion ◽  
Safety Analysis ◽  
Element Analysis ◽  
Safety Requirements ◽  
Transport Container ◽  
Analysis Process ◽  
Fuel Pellets ◽  
Series Of Experiments ◽  
Nuclear Fuel Pellets ◽  
Transport Accidents

In this paper, a kind of transport container we designed was introduced. This container was designed to transport nuclear fuel pellets in different enrichment of U-235. The weight of this package is about 400kg, including the contents. One protect shell and two sealed border were designed in this container, which can ensure the contents were intact and the package has no criticality risk after transport accidents. During the design and safety analysis process, finite element analysis methods were used to improve the structure and analyze the safety performances of the container. In addition, we will test the safety performances of this container through a series of experiments in the future, including 9m drop (or crush), puncture, fire, water immersion and so on. Now, the calculate results show that this container was fit to the safety requirements in the transport accidents.

scholarly journals A Unified Framework for Neuroscience Morphological Data Visualization

2021 ◽  
Vol 11 (10) ◽  
pp. 4652
Author(s):  
Luis Pastor ◽  
Sofia Bayona ◽  
Juan P. Brito ◽  
María Cuevas ◽  
Isabel Fernaud ◽  
...  
Keyword(s):  
Brain Research ◽  
Morphological Data ◽  
Complex Data ◽  
Unified Framework ◽  
Levels Of Abstraction ◽  
Specific Level ◽  
Analysis Process ◽  
Speed Up ◽  
The Brain ◽  
Different Levels

The complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a diversity of techniques for getting meaningful data at each specific level and perspective, producing sometimes data that are difficult to integrate. In order to advance understanding of the brain, scientists need new tools that can speed up this analysis process and that can facilitate integrating research results from different disciplines and techniques. Visualization has proved to be useful in the analysis of complex data, and this paper focuses on the design of visualization solutions adapted to the specific problems posed by brain research. In this paper, we propose a unified framework that allows the integration of specific tools to work together in a coordinated manner in a multiview environment, displaying information at different levels of abstraction and combining schematic and realistic representations. The two use cases presented here illustrate the capability of this approach for providing a visual environment that supports the exploration of the brain at all its organizational levels.

Position Error Research of Multi-Legged Walking Robots with Hand-Foot-Integration Function

2011 ◽  
Vol 317-319 ◽  
pp. 776-781
Author(s):  
Jing Chao Zou ◽  
Liang Wen Wang ◽  
Wei Gang Tang ◽  
Duan Qin Zhang ◽  
Wei Hong Chen
Keyword(s):  
Position Error ◽  
Legged Robots ◽  
Walking Robots ◽  
Detailed Calculation ◽  
Practical Application ◽  
Position Accuracy ◽  
Analysis Process ◽  
Calculation Process ◽  
Speed Up ◽  
Foot Function

Development of integrated hand-foot function will speed up the practical application of multi-legged robots. If the positions of each foothold, the driven joint variables and length of linkage bar in leg are inaccurate, the arms (swing leg) of the robot are likely to deviate from required positions. In this paper, through the calculation process of the multi-legged walking robot's arm path, we discussed the calculating problem of the arm's position accuracy under the condition that the errors of foothold positions, driven joint variables and leg's linkage bar length are given. Detailed calculation formulas are given, and the analysis process is illustrated by an example.

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