ECSS - An Extendable Computer System Simulator

Extendable computer system simulator language desig

Zero-gravity movement studies

The use of computer graphics to simulate the movement of articulated animals and mechanisms has a number of uses ranging over many fields. Human motion simulation systems can be useful in education, medicine, anatomy, physiology, and dance. In biomechanics, computer displays help to understand and analyze performance. Simulations can be used to help understand the effect of external or internal forces. Similarly, zero-gravity simulation systems should provide a means of designing and exploring the capabilities of hypothetical zero-gravity situations before actually carrying out such actions. The advantage of using a simulation of the motion is that one can experiment with variations of a maneuver before attempting to teach it to an individual. The zero-gravity motion simulation problem can be divided into two broad areas: human movement and behavior in zero-gravity, and simulation of articulated mechanisms

Translating expert system rules into Ada code with validation and verification

The purpose of this ongoing research and development program is to develop software tools which enable the rapid development, upgrading, and maintenance of embedded real-time artificial intelligence systems. The goals of this phase of the research were to investigate the feasibility of developing software tools which automatically translate expert system rules into Ada code and develop methods for performing validation and verification testing of the resultant expert system. A prototype system was demonstrated which automatically translated rules from an Air Force expert system was demonstrated which detected errors in the execution of the resultant system. The method and prototype tools for converting AI representations into Ada code by converting the rules into Ada code modules and then linking them with an Activation Framework based run-time environment to form an executable load module are discussed. This method is based upon the use of Evidence Flow Graphs which are a data flow representation for intelligent systems. The development of prototype test generation and evaluation software which was used to test the resultant code is discussed. This testing was performed automatically using Monte-Carlo techniques based upon a constraint based description of the required performance for the system

Improving supply chain efficiency through simulations - Literature and methodological review

Increased competition, efficiency and profit orientation largely determine the operation of today’s companies. While the XX. In the twentieth century, the emphasis was on mass production, large batch numbers, and economies of scale, until today, consumer demand has shifted significantly toward individualized products and services. The consumer expects almost perfect quality, reasonable price and immediately available stocks. That is why it is necessary to tailor the supply chain to the needs of consumers as perfectly as possible. Every small change in the way a company operates can have different effects that managers need to respond to immediately. In a company where there is some flow of auxiliary fuels, semi-finished or finished products, the proper design of the supply chain is a focal point that largely determines its operation and efficiency, as logistics costs significantly affect the consumer prices of products and services. The solid foundation of my topic is provided by the logistics knowledge and the supply chain management that extends it, which already examines the entire supply chain instead of one player at a time. A XXI. The development of information and IT in the 21st century makes it possible to apply new approaches in this field as well and to develop an approach in which we do not assess the effects of changes in retrospect, but prepare for them in advance. In my research work, the optimization of logistics activities through simulation is the focus. The simulation has been an integral part of technical sports and engineering work for many years, this methodology is not yet used in the field of supply chain management, which would provide an opportunity to analyze the effects of changes without risk and would be a tool for companies to model and measure their activities. And measurability would provide an opportunity for correction and improvement, which plays an essential role in increasing efficiency and effectiveness. Based on this line of reasoning, I believe that the combination of supply chain management and simulation holds untapped potentials. In my article, I will review the currently known and useful simulation methodologies, which shows the processing of the issue and the prevalence of the methodologies