Computer simulation

USING COMPUTER SIMULATION MODELING TO REDUCE WAITING TIMES IN EMERGENCY DEPARTMENTS Igor Georgievskiy, Alcorn State University Zhanna Georgievskaya, Alcorn State University William Pinney, Alcorn State University ABSTRACT This paper examines the wide-spread problem of extended waiting times for health services, in the context of the Emergency Department (ED) at a regional hospital. In the first phase of the study, a field observation was conducted to document the current operation of the ED. The

Most of the previous types of simulations and simulators referenced evaluating methods and effective practices. In the distant past technological advancement in the form of medical training mannequins or board games were the bulk of technology based simulators. With the growth of the computer industry, we are naturally increasing our use of computerized technology. Simulation is absolutely no exception to this. Computer simulations have become one of the greatest and most common ways of creating

Modeling and Simulation A Simulation is the imitation of the operation of a real-world process or system over time. It involves the generation of an artificial history of a system and observation of the artificial history to draw inferences concerning the operating characteristics of the real system. Simulation can be used both as an analysis tool for predicting the effect of changes to existing systems and as a design tool to predict performance of new systems under varying sets of circumstances

Also computer simulation training will benefit anyone to feel more confident on what they are out in the real work force. The confidence level will go up by spending a few hours on training or days with simulation training. Confidence is really important to have especially in the military, being a surgeon and even an airline pilot, but remember confidence can easily go away and hard to get back. For example, my first time seeing an rc airplane I feel in love with them I wanted to get one and fly

LCurrent technology-driven innovations in service systems tend to take the human server out of the loop. That being the case, the substitution of human labor will potentially affect the United States and other developed economies most, as the service sector in these countries is responsible for the majority of employment. To improve this outlook, effective ways of integrating humans with engineered service systems is needed. Instead of replacing human workers with machines, one could think of an

utilization. The simulation without background loading remains steady and relatively flat with throughput at roughly 2Kbps and link utilization at under 5%. When background load is added, we see a marked upward trend in utilization and throughput early in the simulation that keeps with our scheme of incrementally ramping up background load from 19,200 to 32,000 during the first 8 minutes, followed by a less pronounced continued upward trend over the remainder of the simulation. Link throughput

dynamics of social networks incorporating Hebbian learning. With this, we are also working on multilayered network in ecological system with Dr S. Prasad, JNU. Project aims at finding optimum time of Amla crop harvesting using agent based model simulations of Amla-Deer-Human network on the top of field

analysis which was carried out by using multiple software tools in order to conduct microwave heating simulations of interest. The objective is to document the important technical information regarding the procedures for later re-enactment. After various comparisons, CST Studio Suite was selected as the preferred software and every simulation hereafter was done using CST. To authenticate the simulation procedure, validation of a paper published in the Food and Bioprocess Technology Journal in 2011 was

decisions about land improvement under different property tax regimes, land value tax and uniform property tax. The simulation test is similar with the experiment designed and conducted in previous; however, the main difference between this simulation and the previous experiment is

In the interim, the Simulation Center is manually entering metrics data. This labored intensive task would be more efficient for data collection once the new learning management system software is networked into the hospital’s computer servers. This curriculum and all simulation activities would benefit from this system by being able to quickly evaluate a curriculum throughout the year; therefore,