scholarly journals An overview of HI-MASS (Hierarchical Modeling and Simulation System)

1995 ◽  
Author(s):  
Douglas G. Fritz ◽  
Robert G. Sargent ◽  
Thorsten Daum
Keyword(s):  
Modeling And Simulation ◽  
Hierarchical Modeling ◽  
Simulation System

Modeling and Simulation of an Improved Measure of MPPT in Photovoltaic System

2011 ◽  
Vol 88-89 ◽  
pp. 244-249 ◽  
Author(s):  
Shou Jiang Cai ◽  
Pei Liang Wang ◽  
Zhi Duan Cai ◽  
Jian Hua Mao
Keyword(s):  
Modeling And Simulation ◽  
Simulation System ◽  
Photovoltaic System ◽  
Storage Space ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Simulation Results ◽  
Power Point ◽  
Accuracy Of Results

Intermittent scan tracking (IST) is a maximum power point tracking (MPPT) method of photovoltaic system. The scanning approach of this method generally is order scanning. But this scanning mode has the weaknesses of the huge storage space and excessive amount of calculation. To eliminate these defects, this paper proposes a new scanning mode, i.e. nested scanning. To verify the effectiveness of the proposed method, a simulation system was modeled based on Matlab/Simulink. In the experiment two scanning modes above were compared and the simulation results proved that, on the premise that the accuracy of results is guaranteed, nested scanning mode can effectively decrease the quantity of required scanning voltages and currents, reduce the amount of calculation and improve the scanning efficiency.

scholarly journals Inverse transport modeling of volcanic sulfur dioxide emissions using large-scale simulations

2016 ◽  
Vol 9 (4) ◽  
pp. 1627-1645 ◽  
Author(s):  
Yi Heng ◽  
Lars Hoffmann ◽  
Sabine Griessbach ◽  
Thomas Rößler ◽  
Olaf Stein
Keyword(s):  
Time Series ◽  
Sulfur Dioxide ◽  
Modeling And Simulation ◽  
Inverse Modeling ◽  
Simulation System ◽  
Transport Modeling ◽  
Volcanic Emissions ◽  
Emission Time ◽  
Simulation Results ◽  
Inverse Transport

Abstract. An inverse transport modeling approach based on the concepts of sequential importance resampling and parallel computing is presented to reconstruct altitude-resolved time series of volcanic emissions, which often cannot be obtained directly with current measurement techniques. A new inverse modeling and simulation system, which implements the inversion approach with the Lagrangian transport model Massive-Parallel Trajectory Calculations (MPTRAC) is developed to provide reliable transport simulations of volcanic sulfur dioxide (SO2). In the inverse modeling system MPTRAC is used to perform two types of simulations, i.e., unit simulations for the reconstruction of volcanic emissions and final forward simulations. Both types of transport simulations are based on wind fields of the ERA-Interim meteorological reanalysis of the European Centre for Medium Range Weather Forecasts. The reconstruction of altitude-dependent SO2 emission time series is also based on Atmospheric InfraRed Sounder (AIRS) satellite observations. A case study for the eruption of the Nabro volcano, Eritrea, in June 2011, with complex emission patterns, is considered for method validation. Meteosat Visible and InfraRed Imager (MVIRI) near-real-time imagery data are used to validate the temporal development of the reconstructed emissions. Furthermore, the altitude distributions of the emission time series are compared with top and bottom altitude measurements of aerosol layers obtained by the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) and the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) satellite instruments. The final forward simulations provide detailed spatial and temporal information on the SO2 distributions of the Nabro eruption. By using the critical success index (CSI), the simulation results are evaluated with the AIRS observations. Compared to the results with an assumption of a constant flux of SO2 emissions, our inversion approach leads to an improvement of the mean CSI value from 8.1 to 21.4 % and the maximum CSI value from 32.3 to 52.4 %. The simulation results are also compared with those reported in other studies and good agreement is observed. Our new inverse modeling and simulation system is expected to become a useful tool to also study other volcanic eruption events.

Materials integrity in microsystems: a framework for a petascale predictive-science-based multiscale modeling and simulation system

2008 ◽  
Vol 42 (4) ◽  
pp. 485-510 ◽  
Author(s):  
Albert C. To ◽  
Wing Kam Liu ◽  
Gregory B. Olson ◽  
Ted Belytschko ◽  
Wei Chen ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Multiscale Modeling ◽  
Simulation System

Applying Software Product Line Technology to Simulation Modeling of Emergency Response Facility

2007 ◽  
Vol 4 (4) ◽  
pp. 377-414 ◽  
Author(s):  
Guodong Shao ◽  
Y. Tina Lee
Keyword(s):  
Modeling And Simulation ◽  
Emergency Response ◽  
Unified Modeling Language ◽  
Software Product Line ◽  
Simulation System ◽  
Product Line ◽  
Incident Management ◽  
Hospital Emergency ◽  
Software Product ◽  
Simulation Systems

This paper proposes an effective, reusable solution for modeling and simulation. The approach is to develop a Software Product Line (SPL) architecture that explicitly captures the commonality and variability in a family of similar simulation systems. First responders and incident management personnel need better training resources to prepare for possible catastrophic events, including natural disasters and terrorist attacks. Live exercises are often very expensive to organize and conduct. With modeling and simulation technology, simulation-based exercise and training models could be developed. The SPL technology enables the simulation system to easily adapt to multiple contexts and allows the simulation system to reconfigure quickly. SPL models can be developed at different levels of scope and depth to suit the emergency responder's needs. By reusing the system requirement analysis, software architectures, and design, the development time is shorter, the development cost is lower, and the quality is easily maintained. This paper focuses on the application of SPL technology to simulation systems of emergency facilities, such as hospital emergency rooms, on-site emergency triage stations, decontamination stations, first-aid stations, and ambulances. The paper also introduces a prototype simulation of the SPL member system – a hospital emergency room simulation system that has been developed at the National Institute of Standards and Technology. The detailed modeling of a family of emergency response facility simulation systems is performed based on the Product Line Unified Modeling Language (UML)-based Software engineering (PLUS) method.

UNDERSTANDING SOFTWARE PRODUCTIVITY: TOWARDS A KNOWLEDGE-BASED APPROACH

1991 ◽  
Vol 01 (03) ◽  
pp. 293-321 ◽  
Author(s):  
WALT SCACCHI
Keyword(s):  
Modeling And Simulation ◽  
State Of The Art ◽  
Simulation System ◽  
Knowledge Based ◽  
Current State ◽  
Software Productivity ◽  
Productivity Modeling

What affects software productivity and how do we improve it? This report examines the current state of the art in understanding and measuring software productivity. In turn, it describes a framework for understanding software productivity, identifies some fundamentals of measurement, surveys selected studies of software productivity, and identifies variables that affect software productivity. Then, a radical alternative to current approaches is suggested: to construct, evaluate, deploy, and evolve a knowledge-based "software productivity modeling and simulation system."

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