Improving V2X simulation performance with optimistic synchronization

2009 ◽  
Author(s):  
Nico Naumann ◽  
Bjorn Schunemann ◽  
Ilja Radusch ◽  
Christoph Meinel
Keyword(s):  
Simulation Performance ◽  
Optimistic Synchronization

Optimal placement of distributed generation based on DISCO’s additional benefit using self adaptive levy flight based black widow optimization

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Naga Lakshmi Gubbala Venkata ◽  
Jaya Laxmi Askani ◽  
Venkataramana Veeramsetty
Keyword(s):  
Distributed Generation ◽  
Distribution Network ◽  
Additional Benefit ◽  
Operating Conditions ◽  
Optimal Placement ◽  
Lévy Flight ◽  
Black Widow ◽  
Levy Flight ◽  
Simulation Performance ◽  
Self Adaptive

Abstract Optimal placement of Distributed Generation (DG) is a crucial challenge for Distribution Companies (DISCO’s) to run the distribution network in good operating conditions. Optimal positioning of DG units is an optimization issue where maximization of DISCO’s additional benefit due to the installation of DG units in the network is considered to be an objective function. In this article, the self adaptive levy flight based black widow optimization algorithm is used as an optimization strategy to find the optimum position and size of the DG units. The proposed algorithm is implemented in the IEEE 15 and PG & E 69 bus management systems in the MATLAB environment. Based on the simulation performance, it has been found that with the correct location and size of the DG modules, the distribution network can be run with maximum DISCO’s additional benefit.

Color-blindness simulation for red-green and blue-yellow ambiguity

2021 ◽  
pp. 1-12
Author(s):  
Sheida Anbari ◽  
Hamid Reza Hamidi ◽  
Shokoh Kermanshahani
Keyword(s):  
Color Vision ◽  
Color Perception ◽  
Color Blindness ◽  
Daily Activities ◽  
Reasonable Accuracy ◽  
Simulation Performance ◽  
Normal Color Vision ◽  
Test Kit ◽  
Different Types ◽  
Color Vision Test

Color blindness has important effects on people’s daily activities, since most activities require a discernment between colors. It is very important for engineers and designers to understand how colorblind people perceive colors. Therefore, many methods have been proposed to simulate color perception of people affected by Dichromacy and anomalous Trichromacy. However, the simulation results rarely have been evaluated with the reports of concerned individuals. In first study, we tried to simulate the color perception of people with different types (red and green) and different degrees of color blindness. Different degrees of red-green deficiency is simulated on the 24-plates brand of the Ishihara color vision test kit. Then simulated plates were tested on people with normal color vision. The results show that the simulation performance is better in the case of high degrees of red-green deficiency. There is also a clear difference between the assessment of female and male volunteers. In another study, the perception of the color of people with blue-yellow blindness is also considered. The proposed blue-yellow blind simulation is compared with the result of another research project. The results show that the color perception of individuals with different degrees of blue-yellow blindness can be reconstructed with a reasonable accuracy.

Simulation performance signature evolution of optical inter satellite links based booster EDFA and receiver preamplifiers

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mahmoud M. A. Eid ◽  
Ahmed Nabih Zaki Rashed ◽  
Ehab Salah El-din
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Fiber Amplifier ◽  
Input Power ◽  
Signal Power ◽  
Q Factor ◽  
Erbium Doped Fiber Amplifier ◽  
Simulation Performance ◽  
Erbium Doped ◽  
Satellite Links

AbstractAim and scope of this study is to simulate the performance signature of optical inter satellite links based booster Erbium doped fiber amplifier (EDFA) and receiver preamplifiers. The study is simulated to demonstrated the effect of changing the propagation distances between satellites spacing based on the booster EDFA and receiver preamplifiers. Signal power amplitude, Max. Q factor, and min bit error rate are investigated against the input power variations.

scholarly journals Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration

2021 ◽  
Vol 9 (6) ◽  
pp. 635
Author(s):  
Hyeok Jin ◽  
Kideok Do ◽  
Sungwon Shin ◽  
Daniel Cox
Keyword(s):  
Large Scale ◽  
Numerical Models ◽  
Model Performance ◽  
Coastal Dunes ◽  
Wave Transformation ◽  
Storm Event ◽  
Face Model ◽  
Dune Erosion ◽  
Simulation Performance ◽  
Sand Bar

Coastal dunes are important morphological features for both ecosystems and coastal hazard mitigation. Because understanding and predicting dune erosion phenomena is very important, various numerical models have been developed to improve the accuracy. In the present study, a process-based model (XBeachX) was tested and calibrated to improve the accuracy of the simulation of dune erosion from a storm event by adjusting the coefficients in the model and comparing it with the large-scale experimental data. The breaker slope coefficient was calibrated to predict cross-shore wave transformation more accurately. To improve the prediction of the dune erosion profile, the coefficients related to skewness and asymmetry were adjusted. Moreover, the bermslope coefficient was calibrated to improve the simulation performance of the bermslope near the dune face. Model performance was assessed based on the model-data comparisons. The calibrated XBeachX successfully predicted wave transformation and dune erosion phenomena. In addition, the results obtained from other two similar experiments on dune erosion with the same calibrated set matched well with the observed wave and profile data. However, the prediction of underwater sand bar evolution remains a challenge.

scholarly journals Proton Exchange Membrane Fuel Cells Modeling Using Chaos Game Optimization Technique

2021 ◽  
Vol 13 (14) ◽  
pp. 7911
Author(s):  
Ibrahim Alsaidan ◽  
Mohamed A. M. Shaheen ◽  
Hany M. Hasanien ◽  
Muhannad Alaraj ◽  
Abrar S. Alnafisah
Keyword(s):  
Fuel Cell ◽  
Objective Function ◽  
Proton Exchange Membrane ◽  
Optimization Technique ◽  
Proton Exchange ◽  
Simulation Performance ◽  
Terminal Voltage ◽  
Chaos Game ◽  
Simulation Results ◽  
Exchange Membrane

For the precise simulation performance, the accuracy of fuel cell modeling is important. Therefore, this paper presents a developed optimization method called Chaos Game Optimization Algorithm (CGO). The developed method provides the ability to accurately model the proton exchange membrane fuel cell (PEMFC). The accuracy of the model is tested by comparing the simulation results with the practical measurements of several standard PEMFCs such as Ballard Mark V, AVISTA SR-12.5 kW, and 6 kW of the Nedstack PS6 stacks. The complexity of the studied problem stems from the nonlinearity of the PEMFC polarization curve that leads to a nonlinear optimization problem, which must be solved to determine the seven PEMFC design variables. The objective function is formulated mathematically as the total error squared between the laboratory measured terminal voltage of PEMFC and the estimated terminal voltage yields from the simulation results using the developed model. The CGO is used to find the best way to fulfill the preset requirements of the objective function. The results of the simulation are tested under different temperature and pressure conditions. Moreover, the results of the proposed CGO simulations are compared with alternative optimization methods showing higher accuracy.

scholarly journals O52: THE IMPACT OF STUDENT BACKGROUND ON PERFORMANCE AND STRESS DURING SURGICAL SIMULATION

2021 ◽  
Vol 108 (Supplement_1) ◽  
Author(s):  
A Soualhi ◽  
MSA Amin ◽  
A Aydin ◽  
MS Khan ◽  
P Dasgupta ◽  
...  
Keyword(s):  
Medical Students ◽  
Medical School ◽  
Perceived Stress ◽  
Surgical Simulation ◽  
Demographic Factors ◽  
Skills Acquisition ◽  
Laparoscopic Skills ◽  
Student Background ◽  
Simulation Performance ◽  
The Impact

Abstract Introduction Early exposure of medical students to surgical skills has been associated with an increased interest in pursuing a career in surgery. This study aimed to investigate the impact of student background on basic laparoscopic skills acquisition and perceived stress to workload during simulation. Method Students were recruited to a course modelled on the European Basic Laparoscopic Urological Skills (E-BLUS) programme. Students filled out a pre-course demographic survey, and a post-course survey that evaluated perceived stress to workload (SURG-TLX). Pre- and post-course confidence in laparoscopic skills, performance in the course, as well as SURG-TLX parameters were statistically compared for all demographic factors. Result Twenty-three participants completed the course, fifteen (65%) of which were female. Ten students were junior (first and second year), and thirteen were senior (third year and above). Hobbies were grouped into either requiring hand-eye coordination (n=9), manual dexterity (n=9), or no relevance to surgery (n=5). No significant differences were found in demographic factors for course performance or pre- and post-course confidence. No significant differences were found between male and female students, and between different hobby groups, in all SURG-TLX parameters. Senior students reported a significantly higher Physical Demand of the SURG-TLX compared to juniors (p=0.042). No differences were found in other parameters. Conclusion Our study showed no correlation between student background (notably sex and stage of medical school) and basic laparoscopic skills acquisition or stress during simulation. We therefore suggest that medical students are provided with more exposure to acquire basic laparoscopic skills regardless of their background. Take-home message Medical student background is not a discriminator in surgical simulation performance and stress. All medical students, regardless of their sex or stage of medical school, should be given the opportunity to practice laparoscopic skills.

scholarly journals MIXED REALITY IN MEDICAL SIMULATION: A COMPREHENSIVE DESIGN METHODOLOGY

2021 ◽  
Vol 1 ◽  
pp. 2107-2116
Author(s):  
Agnese Brunzini ◽  
Alessandra Papetti ◽  
Michele Germani ◽  
Erica Adrario
Keyword(s):  
Mixed Reality ◽  
Clinical Simulation ◽  
Simulation Performance ◽  
Prototype Development ◽  
Comprehensive Method ◽  
Scenario Design ◽  
Study Results ◽  
Microsoft Hololens ◽  
Real Practice ◽  
Complete Framework

AbstractIn the medical education field, the use of highly sophisticated simulators and extended reality (XR) simulations allow training complex procedures and acquiring new knowledge and attitudes. XR is considered useful for the enhancement of healthcare education; however, several issues need further research.The main aim of this study is to define a comprehensive method to design and optimize every kind of simulator and simulation, integrating all the relevant elements concerning the scenario design and prototype development.A complete framework for the design of any kind of advanced clinical simulation is proposed and it has been applied to realize a mixed reality (MR) prototype for the simulation of the rachicentesis. The purpose of the MR application is to immerse the trainee in a more realistic environment and to put him/her under pressure during the simulation, as in real practice.The application was tested with two different devices: the headset Vox Gear Plus for smartphone and the Microsoft Hololens. Eighteen students of the 6th year of Medicine and Surgery Course were enrolled in the study. Results show the comparison of user experience related to the two different devices and simulation performance using the Hololens.

An automatic decision algorithm and simulation performance analysis for public safety

2021 ◽  
pp. 1-12
Author(s):  
Xiangwei Qi ◽  
Weimin Pan ◽  
Bingcai Chen ◽  
Gulila Altenbek
Keyword(s):  
Emergency Response ◽  
Terrorist Attack ◽  
Scheduling Algorithm ◽  
Terrorist Attacks ◽  
Mathematical Form ◽  
Decision Algorithm ◽  
Simulation Performance ◽  
Whole Process ◽  
Real Scene ◽  
Crowd Evacuation

As the current society is increasingly facing major challenges from extremism and terrorism, protecting key urban public facilities and important targets from destruction is an important challenge facing the security departments of all countries. Based on real scene, this paper conducts researches on anti-terrorism security game algorithms and emergency response models in response to the three key links of before, during and after terrorist attacks. First of all, this paper constructs a multi-round joint attack game and emergency response model based on cooperation, establishes the optimization problem of solving the defender’s optimal strategy in mathematical form, and then obtains the optimal defense strategy. Secondly, in response to the fact that terrorists are not completely rational, a new hybrid model is constructed to propose an efficient allocation and scheduling algorithm for safe resources in response to terrorist attacks. Thirdly, a model of crowd evacuation strategy after a terrorist attack is built based on the problem of crowd evacuation in multiple rounds of premeditated cooperative attacks. Finally, taking the area of the first ring of a certain city as a real scene, a complete game system of the whole process is constructed, and the game effectiveness evaluation of the existing security resource allocation scheme in the first ring area is carried out. Through the research of this thesis, the author puts forward some new technical ideas for the current society’s anti-terrorism governance, and hopes to provide some technical references for the decision-making of security agencies.

Sign in / Sign up

Export Citation Format

Share Document