System Modeling and Analysis

2018 ◽  
pp. 137-182
Author(s):  
Ibrahim Dincer ◽  
Mehmet Akif Ezan
Keyword(s):  
System Modeling ◽  
Modeling And Analysis

Multiple CMOS Intersection Measuring System Modeling and Analysis

2012 ◽  
Vol 614-615 ◽  
pp. 1299-1302
Author(s):  
Ming Jing Li ◽  
Yu Bing Dong ◽  
Guang Liang Cheng
Keyword(s):  
High Speed ◽  
High Performance ◽  
High Reliability ◽  
System Modeling ◽  
Position Effect ◽  
Field Of View ◽  
Measuring System ◽  
Price Ratio ◽  
Matlab Simulation ◽  
Modeling And Analysis

Multiple high speed CMOS cameras composing intersection system to splice large effect field of view(EFV). The key problem of system is how to locate multiple CMOS cameras in suitable position. Effect field of view was determined according to size, quantity and dispersion area of objects, so to determine camera position located on below, both sides and ahead to moving targets. This paper analyzes effect splicing field of view, operating range etc through establishing mathematical model and MATLAB simulation. Location method of system has advantage of flexibility splicing, convenient adjustment, high reliability and high performance-price ratio.

System modeling and analysis considerations

2019 ◽  
pp. 303-318
Author(s):  
Mark Aschheim ◽  
Enrique Hernández-Montes ◽  
Dimitrios Vamvatsikos
Keyword(s):  
System Modeling ◽  
Modeling And Analysis

From MARTE to Reconfigurable NoCs

2010 ◽  
pp. 135-157
Author(s):  
Imran Rafiq Quadri ◽  
Majdi Elhaji ◽  
Samy Meftali ◽  
Jean-Luc Dekeyser
Keyword(s):  
System Modeling ◽  
Unified Modeling Language ◽  
Modeling And Analysis ◽  
Unified Modeling ◽  
Model Driven ◽  
Abstraction Level ◽  
Management Group ◽  
High Level Modeling ◽  
High Level ◽  
Abstraction Levels

Due to the continuous exponential rise in SoC’s design complexity, there is a critical need to find new seamless methodologies and tools to handle the SoC co-design aspects. We address this issue and propose a novel SoC co-design methodology based on Model Driven Engineering and the MARTE (Modeling and Analysis of Real-Time and Embedded Systems) standard proposed by Object Management Group, to raise the design abstraction levels. Extensions of this standard have enabled us to move from high level specifications to execution platforms such as reconfigurable FPGAs. In this chapter, we present a high level modeling approach that targets modern Network on Chips systems. The overall objective: to perform system modeling at a high abstraction level expressed in Unified Modeling Language (UML); and afterwards, transform these high level models into detailed enriched lower level models in order to automatically generate the necessary code for final FPGA synthesis.

Multibody Dynamics — Modeling and Analysis Methods

1991 ◽  
Vol 44 (3) ◽  
pp. 109-117 ◽  
Author(s):  
R. L. Huston
Keyword(s):  
Multibody Dynamics ◽  
Multibody Systems ◽  
System Modeling ◽  
Space Structures ◽  
Dynamics Modeling ◽  
Research Activity ◽  
Modeling And Analysis ◽  
Physical Systems ◽  
Systems Research ◽  
Recent Developments

A review of recent developments in multibody dynamics modeling and analysis is presented. Multibody dynamics is one of the fastest growing fields of applied mechanics. Multibody systems are increasingly being employed as models of physical systems such as robots, mechanisms, chains, cables, space structures, and biodynamic systems. Research activity in multibody dynamics has stimulated research in a number of subfields including formulation methods, system modeling, numerical procedures, and graphical representations. These are also discussed and reviewed.

Modeling, Experimentation, and Simulation of an Air-Over-Hydraulic Brake System

2009 ◽  
Vol 131 (3) ◽  
Author(s):  
Xicheng Xiong ◽  
Jianhua Wei ◽  
Jian Chen
Keyword(s):  
Experimental Data ◽  
System Modeling ◽  
Brake System ◽  
Hydraulic Actuator ◽  
Similar System ◽  
Modeling And Analysis ◽  
Construction Machinery ◽  
Simulation Results ◽  
Mechanical Dynamics ◽  
Development And Validation

This paper deals with the development and validation of an analytical dynamic model of an air-over-hydraulic (AOH) brake system that is widely used on loaders. The AOH system is broken into five simple and cascaded subsystems, pneumatic circuit, air-hydraulic actuator, brake line, wheel cylinder, and disk brake. Pneumatic, hydraulic, and mechanical dynamics are taken care of in each subsystem. The determination of model coefficients is introduced in detail. Many experiments are performed on an experimental setup of the real AOH system on a loader and the experimental data are compared with the simulation results. Preliminary analysis shows that the simulation results are in good agreement with the experimental data. Other researchers in the areas of brake systems in construction machinery would find the model useful for similar system modeling and analysis

Modeling and Analysis of a Bio-Fuelled Ceramic Fuel Cell Stack

2004 ◽  
Author(s):  
Jinliang Yuan ◽  
Bin Zhu ◽  
Ramesh K. Shah ◽  
Bengt Sunde´n
Keyword(s):  
Fuel Cell ◽  
Gas Flow ◽  
System Modeling ◽  
Operating Conditions ◽  
Intermediate Temperature ◽  
Innovative Technology ◽  
Direct Oxidation ◽  
Modeling And Analysis ◽  
Ceramic Fuel Cell ◽  
Ceramic Fuel

Recent development in the advanced ceramic fuel cell (CFC), working at intermediate temperature 600–700°C, brings up feasibility and new opportunity to employ renewable fuels with this innovative technology. It may offer a better solution concerning environment, natural resources and development of our civil society. Moreover, direct oxidation of hydrocarbon fuels at intermediate temperature possesses great advantage in avoiding complex and expensive external reforming process. This paper presents modeling and analysis of an intermediate temperature CFC stack. The model is a general one to evaluate the stack performance for the purpose of optimal design and/or configuration based on the specified electrical power or fuel supply rate, except that the Tafel coefficients are adjusted and/or obtained to match experimental data. The energy and gas flow data obtained from the investigation can be further used to identify the heat exchanger network configurations and optimal operating conditions using process integration techniques. The model can be applied as a stand alone one, or implemented into an overall energy system modeling for the purpose of system study.

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