Coverage Analysis Tool Design in Object-Oriented Astronautical Simulation Software Using Plugin

2017 ◽  
Author(s):  
Zhou Wanmeng ◽  
Wang Hua ◽  
Zhang Fan ◽  
Li Haiyang
Keyword(s):  
Object Oriented ◽  
Tool Design ◽  
Simulation Software ◽  
Analysis Tool ◽  
Coverage Analysis

Theory and Programming of a Generic Gear Library

2000 ◽  
Author(s):  
U. Häussler
Keyword(s):  
Theoretical Consideration ◽  
Object Oriented ◽  
Tool Design ◽  
Object Oriented Programming ◽  
Tool Surface ◽  
Geometrical Information

Abstract This paper discusses an approach, which combines theoretical consideration and object oriented thoughts in order to make gear computing extentable. A generalized calculus is investigated, which has no loss of geometrical information. Calculating the fundamental forms of the conjugated surface, the enveloped surface will have the same properties as the tool surface. By using object oriented programming in a gear specific way, it is shown, that all programms for gear and tool design may have the same structure, and are based on the same virtual methods and classes.

Sustainable Manufacturing Analysis Using Activity Based Costing in SysML

2011 ◽  
Author(s):  
Yuriy Romaniw ◽  
Bert Bras ◽  
Tina Guldberg
Keyword(s):  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Functional Model ◽  
Object Oriented ◽  
Analysis Tool ◽  
Activity Based Costing ◽  
Multiple Perspectives ◽  
Multi Scale ◽  
Scale Modeling ◽  
Validation Experiment

This paper outlines an approach for dynamic, multi-scale modeling of manufacturing systems using an Activity Based Cost structure. The purpose of these models is to assess the sustainability of the manufacturing system and aid as a quick, first principle analysis tool for comparing alternatives. The models are constructed using a computer-aided version of the object oriented modeling language SysML. The model, known as the Activity Based Object Oriented Manufacturing Model (or ABOOM Model), is capable of decomposing a system from multiple perspectives, using the same library of activities reducing redundancy and complexity while increasing modularity. The model is built in MagicDraw SysML, using ParaMagic and Mathematica to parse and simulate the model and return numerical results. This paper builds on a project previously presented in its infancy at IDETC/CIE 2009. This paper presents a functional model structure now that the project has matured and nears the next phase of implementation. Executable hypothetical case study instance structures are presented as well as results from a validation experiment performed since the project was first presented. This paper summarizes the results from the case studies as well as the conclusions from the validation experiment.

The Presence Research on 6-DOF Tank Driving Simulator

2010 ◽  
Vol 44-47 ◽  
pp. 1229-1233
Author(s):  
Qing Hua Cao
Keyword(s):  
Collision Detection ◽  
Driving Simulator ◽  
System Development ◽  
Object Oriented ◽  
Simulation Software ◽  
Visual Simulation ◽  
Object Model ◽  
Motion Simulation ◽  
Dynamics Model ◽  
Multigen Creator

with computer graphics technology continually improved, visual simulation system development of sports simulators has become the hotspot. The structure and work principle of 6-DOF tank virtual driving simulator are presented, motion simulation of driven equipment are done by developed based on advanced simulation software(MultiGen Creator and OpenGVS SDK), which is combined with the Object-Oriented method. Dynamics model of simulate system is established , object model is disposed and collision detection is briefly analyzed. The immersion of this visual simulation has been confirmed experimentally.

Object-Oriented Modeling and Simulation of Railway Vehicle Systems

2010 ◽  
Vol 26-28 ◽  
pp. 900-904 ◽  
Author(s):  
Yong He ◽  
Guo Fu Ding ◽  
Yi Sheng Zou ◽  
Mei Wei Jia ◽  
Ming Heng Xu
Keyword(s):  
Software Package ◽  
Ride Comfort ◽  
Object Oriented ◽  
Simulation Software ◽  
Contact Forces ◽  
Railway Vehicle ◽  
Vehicle Systems ◽  
Hunting Stability ◽  
Multi Body ◽  
And Behavior

An object-oriented modeling method was proposed to develop a simulation software package named GVDS which could be used to predict some aspects of dynamic behavior of railway vehicle. The package based on multi-body dynamics mainly consists of three parts, an interactive pre-processor, the solver and an interactive post-processor. With UML, demands and structure of the software package are represented. By modeling of the geometry and behavior of each object, virtual prototype of railway vehicle is formed and by the simulation, the critical speed of hunting stability, wheel-rail contact forces and so on can be determined and the hunting stability, curving behavior and ride comfort can be analyzed and evaluated. Finally, some cases are simulated. The simulation results show the effectiveness of the proposed method.

scholarly journals LOICA: Logical Operators for Integrated Cell Algorithms

2021 ◽  
Author(s):  
Gonzalo Vidal ◽  
Carlos Vidal-Céspedes ◽  
Timothy James Rudge
Keyword(s):  
Design Automation ◽  
Object Oriented ◽  
Analysis Tool ◽  
Genetic Circuits ◽  
Logical Operators ◽  
Object Oriented Design ◽  
Design Build ◽  
High Level ◽  
Python Package ◽  
Mathematical And Computational Modeling

Mathematical and computational modeling is essential to genetic design automation and for the synthetic biology design-build-test-learn cycle. The construction and analysis of models is enabled by abstraction based on a hierarchy of components, devices, and systems that can be used to compose genetic circuits. These abstract elements must be parameterized from data derived from relevant experiments, and these experiments related to the part composition of the abstract components of the circuits measured. Here we present LOICA (Logical Operators for Integrated Cell Algorithms), a Python package for modeling and characterizing genetic circuits based on a simple object-oriented design abstraction. LOICA uses classes to represent different biological and experimental components, which generate models through their interactions. High-level designs are linked to their part composition via SynBioHub. Furthermore, LOICA communicates with Flapjack, a data management and analysis tool, to link to experimental data, enabling abstracted elements to characterize themselves.

scholarly journals Chanjo: Clincal grade sequence coverage analysis

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 615
Author(s):  
Robin Andeer ◽  
Måns Magnusson ◽  
Anna Wedell ◽  
Henrik Stranneheim
Keyword(s):  
Region Of Interest ◽  
Analysis Tool ◽  
Sequence Coverage ◽  
Report Generation ◽  
Coverage Analysis ◽  
Aggregate Queries ◽  
Set Up ◽  
Easy Integration ◽  
Genomic Regions ◽  
Multiple Samples

Coverage analysis is essential when analysing massive parallel sequencing (MPS) data. The analysis indicates existence of false negatives or positives in a region of interest or poorly covered genomic regions. There are several tools that have excellent performance when doing coverage analysis on a few samples with predefined regions. However, there is no current tool for collecting samples over a longer period of time for aggregated coverage analysis of multiple samples or sequencing methods. Furthermore, current coverage analysis tools do not generate customized coverage reports or enable exploratory coverage analysis without extensive bioinformatic skill and access to the original alignment files. We present Chanjo, a user friendly coverage analysis tool for persistent storage of coverage data, that, accompanied with Chanjo Report, produces coverage reports that summarize coverage data for predefined regions in an elegant manner. Chanjo Report can produce both structured coverage reports and dynamic reports tailored to a subset of genomic regions, coverage cut-offs or samples. Chanjo stores data in an SQL database where thousands of samples can be added over time, which allows for aggregate queries to discover problematic regions. Chanjo is well tested, supports whole exome and genome sequencing, and follows common UNIX standards, allowing for easy integration into existing pipelines. Chanjo is easy to install and operate, and provides a solution for persistent coverage analysis and clinical-grade reporting. It makes it easy to set up a local database and automate the addition of multiple samples and report generation. To our knowledge there is no other tool with matching capabilities. Chanjo handles the common file formats in genetics, such as BED and BAM, and makes it easy to produce PDF coverage reports that are highly valuable for individuals with limited bioinformatic expertise. We believe Chanjo to be a vital tool for clinicians and researchers performing MPS analysis.

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