Computational Model Simulation of a Self-Driving Car by the MADRaS Simulator Using Keras

2021 ◽  
pp. 479-489
Author(s):  
Aseem Patil
Keyword(s):  
Computational Model ◽  
Model Simulation

scholarly journals A general response process theory for situational judgment tests

2019 ◽  
Author(s):  
James Grand
Keyword(s):  
Computational Model ◽  
Web Application ◽  
Model Simulation ◽  
Future Research ◽  
Simulation Code ◽  
Situational Judgment ◽  
Situational Judgment Tests ◽  
Measurement Models ◽  
Reported Data ◽  
General Response

Situational judgment tests (SJTs) have emerged as a staple of assessment methodologies for organizational practitioners and researchers. Despite their prevalence, many questions regarding how to interpret respondent choices or how variations in item construction and instruction influence the nature of observed responses remain. Existing conceptual and empirical efforts to explore these questions have largely been rooted in reflexive psychometric measurement models that describe participant responses as indicative of (usually multiple) latent constructs. However, some have suggested that a key to better understanding SJT responses lies in unpacking the judgment and decision-making processes employed by respondents and the psychological and contextual factors that shape how those processes play out. To this end, the present paper advances an integrative and generalizable process-oriented theory of SJT responding. The framework, labeled Situated Reasoning and Judgment (SiRJ), proposes that respondents engage in a series of conditional reasoning, similarity, and preference accumulation judgments when deciding how to evaluate and respond to an SJT item. To evaluate the theory’s plausibility and utility, the SiRJ framework is translated into a formal computational model and results from a simulation study are analyzed using neural network and Bayesian survival analytic techniques that demonstrate its capability to replicate existing and new empirical effects, suggest insights into SJT interpretation and development, and stimulate new directions for future research. An interactive web application that allows users to explore the computational model developed for SiRJ (https://grandjam.shinyapps.io/sirj) as well as all reported data and the full model/simulation code (https://osf.io/uwdfm/) are also provided.

scholarly journals Multi-scale computational study of the mechanical regulation of cell mitotic rounding in epithelia

2016 ◽  
Author(s):  
Ali Nematbakhsh ◽  
Wenzhao Sun ◽  
Pavel A. Brodskiy ◽  
Aboutaleb Amiri ◽  
Cody Narciso ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cell Adhesion ◽  
Cell Division ◽  
Computational Model ◽  
Osmotic Pressure ◽  
Model Simulation ◽  
Multi Scale ◽  
Daughter Cells ◽  
Simulation Results ◽  
Cell Cell

AbstractMitotic rounding during cell division is critical for preventing daughter cells from inheriting an abnormal number of chromosomes, a condition that occurs frequently in cancer cells. Cells must significantly expand their apical area and transition from a polygonal to circular apical shape to achieve robust mitotic rounding in epithelial tissues, which is where most cancers initiate. However, how cells mechanically regulate robust mitotic rounding within packed tissues is unknown. Here, we analyze mitotic rounding using a newly developed multi-scale subcellular element computational model that is calibrated using experimental data. Novel biologically relevant features of the model include separate representations of the sub-cellular components including the apical membrane and cytoplasm of the cell at the tissue scale level as well as detailed description of cell properties during mitotic rounding. Regression analysis of predictive model simulation results reveals the relative contributions of osmotic pressure, cell-cell adhesion and cortical stiffness to mitotic rounding. Mitotic area expansion is largely driven by regulation of cytoplasmic pressure. Surprisingly, mitotic shape roundness within physiological ranges is most sensitive to variation in cell-cell adhesivity and stiffness. An understanding of how perturbed mechanical properties impact mitotic rounding has important potential implications on, amongst others, how tumors progressively become more genetically unstable due to increased chromosomal aneuploidy and more aggressive.Author SummaryMitotic rounding (MR) during cell division which is critical for the robust segregation of chromosomes into daughter cells, plays important roles in tissue growth and morphogenesis, and is frequently perturbed in cancerous cells. Mechanisms of MR have been investigated in individual cultured cells, but mechanisms regulating MR in tissues are still poorly understood. We developed and calibrated an advanced subcellular element-based computational model called Epi-Scale that enables quantitative testing of hypothesized mechanisms governing epithelial cell behavior within the developing tissue microenvironment. Regression analysis of predictive model simulation results reveals the relative contributions of osmotic pressure, cell-cell adhesion and cortical stiffness to mitotic rounding and establishes a novel mechanism for ensuring robustness in mitotic rounding within densely packed epithelia.

A Computational Model of a Combined Cycle Power Generation Unit

2004 ◽  
Vol 126 (3) ◽  
pp. 231-240 ◽  
Author(s):  
V. Ramaprabhu ◽  
R. P. Roy
Keyword(s):  
Power Generation ◽  
Computational Model ◽  
Model Simulation ◽  
Combined Cycle ◽  
Utility Company ◽  
Energy And Exergy ◽  
Power Generation Unit ◽  
Plant Test ◽  
Gas Turbine Cycle ◽  
Generation Unit

A computational model of a combined cycle power generation unit is developed and applied to one operated by a local utility company. The objective is to predict the performance of this unit by carrying out energy and exergy analyses of its components. The model is based on thermodynamic, heat transfer, and psychrometric principles, and includes an inlet air conditioning (fogging) system for the gas turbine cycle. To evaluate the model, simulation results are compared with available plant test data at rated load with and without the inlet fogging system in operation.

scholarly journals Design of Computational Model for Cyanobacterial Pollutant Diffusion Change in Chaohu Lake of China Based on Large Data

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Junping Yao ◽  
Guilan He
Keyword(s):  
Computational Model ◽  
Pollution Control ◽  
Local Economic Development ◽  
Model Simulation ◽  
Large Data ◽  
Calculation Model ◽  
Control Measures ◽  
Chaohu Lake ◽  
Simulation Experiments ◽  
Pollutant Diffusion

Cyanobacteria in Chaohu Lake multiply rapidly and diffuse in large quantities every summer, which has a serious impact on the normal life of the surrounding residents and the local economic development. Therefore, it is urgent to control the cyanobacterial pollutants in Chaohu Lake. In this context, in order to improve the scientificalness and feasibility of control measures, it is an important prerequisite and condition to grasp the change of cyanobacterial pollutant diffusion in Chaohu Lake. For this reason, a computational model for cyanobacterial pollutant diffusion in Chaohu Lake, China, was designed based on the relevant large data. The design of the model is divided into three parts: the first part builds an area calculation model to analyze the change of cyanobacterial pollutant diffusion area; the second part builds a concentration calculation model to analyze the change of cyanobacterial pollutant concentration; and the third part combines the previous two to build a diffusion change calculation model to analyze the rule of cyanobacterial pollutant diffusion change in Chaohu Lake. In order to verify the feasibility and validity of the model, simulation experiments were carried out. The results show that, under the large data related to cyanobacteria pollution in Chaohu Lake, China, from May to August 2017, the calculation model is used to calculate the cyanobacteria pollutant diffusion change. The data obtained are basically consistent with the actual situation, which proves the feasibility and validity of the model. This provides data support for the cyanobacteria pollution control in Chaohu Lake and improves the efficiency and effect of the control.

scholarly journals A Study on the Effect of the Outer Ring of Annular Cooling Fan on the Aerodynamic Performance

2019 ◽  
Author(s):  
Hengtao Shu ◽  
Zhihong Yin ◽  
Wenbin Shangguan ◽  
Waizuddin Ahmed
Keyword(s):  
Computational Model ◽  
Model Simulation ◽  
Great Influence ◽  
Calculated Data ◽  
Axial Direction ◽  
Aerodynamic Performance ◽  
Outer Ring ◽  
Structure Parameters ◽  
Relative Parameter ◽  
Cooling Fan

We studied the effect of the structure parameters of engine annular cooling fan with outer ring on the aerodynamic performance by means of experiments and model simulation in fluent®. Firstly, based on the experiment, a computational model is developed to calculate and analyze the aerodynamic performance of the tested annular fan. The model is validated by comparing the test results with the calculated data. Besides, the aerodynamic performance differences between two types of fans (common fan without outer ring and annular fan with outer ring) are discussed. Based on the computational model, the relation between aerodynamic performance and the outer ring structure parameters are investigated. The results show that the relative parameter on the axial direction has great influence on the aerodynamic performance; while the effect of radial relative parameter is minor. In addition, the outer ring with arc chamfer structure in the downstream side can improve its static pressure efficiency effectively.

Attentive Tracking in the Perception of Animacy: A Computational Model of "Chasing" vs. "Stalking"

2013 ◽  
Author(s):  
Tao Gao ◽  
Chris L. Baker ◽  
Joshua B. Tenenbaum
Keyword(s):  
Computational Model

Inference making and memory for text: A computational model

2001 ◽  
Author(s):  
Paul Van Den Broek ◽  
Yuhtsuen Tzeng ◽  
Sandy Virtue ◽  
Tracy Linderholm ◽  
Michael E. Young
Keyword(s):  
Computational Model ◽  
Inference Making ◽  
Memory For Text

Computational Model of Novel Popout

1992 ◽  
Author(s):  
William A. Johnston ◽  
Kevin J. Hawley ◽  
James M. Farnham
Keyword(s):  
Computational Model

Model, simulation and experiments for a Buoyancy Organic Rankine Cycle

2020 ◽  
Vol 92 (1) ◽  
pp. 10906
Author(s):  
Jeroen Schoenmaker ◽  
Pâmella Gonçalves Martins ◽  
Guilherme Corsi Miranda da Silva ◽  
Julio Carlos Teixeira
Keyword(s):  
Model Simulation ◽  
Organic Rankine Cycle ◽  
Thermodynamic Cycle ◽  
Rankine Cycle ◽  
Test Body ◽  
Working Fluid ◽  
Proof Of Concept ◽  
Energy Scenario ◽  
New Type ◽  
Fluid Reservoir

Organic Rankine Cycle (ORC) systems are increasingly gaining relevance in the renewable and sustainable energy scenario. Recently our research group published a manuscript identifying a new type of thermodynamic cycle entitled Buoyancy Organic Rankine Cycle (BORC) [J. Schoenmaker, J.F.Q. Rey, K.R. Pirota, Renew. Energy 36, 999 (2011)]. In this work we present two main contributions. First, we propose a refined thermodynamic model for BORC systems accounting for the specific heat of the working fluid. Considering the refined model, the efficiencies for Pentane and Dichloromethane at temperatures up to 100 °C were estimated to be 17.2%. Second, we show a proof of concept BORC system using a 3 m tall, 0.062 m diameter polycarbonate tube as a column-fluid reservoir. We used water as a column fluid. The thermal stability and uniformity throughout the tube has been carefully simulated and verified experimentally. After the thermal parameters of the water column have been fully characterized, we developed a test body to allow an adequate assessment of the BORC-system's efficiency. We obtained 0.84% efficiency for 43.8 °C working temperature. This corresponds to 35% of the Carnot efficiency calculated for the same temperature difference. Limitations of the model and the apparatus are put into perspective, pointing directions for further developments of BORC systems.

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