Knowledge-Based Integrated Manufacturing Flexible Simulation System

1996 ◽  
Author(s):  
Ming Dong ◽  
Jianzhong Cha ◽  
Mingcheng E
Keyword(s):  
Simulation Model ◽  
Knowledge Base ◽  
System Architecture ◽  
Procedural Knowledge ◽  
Object Oriented ◽  
Simulation Models ◽  
Simulation System ◽  
Integrated Manufacturing ◽  
Knowledge Based ◽  
Inference Engines

Abstract In this paper, we present a knowledge-based flexible simulation system for integrated manufacturing. The simulation model knowledge base of a CIMS is constituted of five parts: FBS models of the CIM-OSA system architecture, entity classes library, procedural knowledge base, database and inference engines. The knowledge-based simulation models are represented by the object-oriented frame language and their behaviours are generated by inference engines reasoning about the sets of procedural rules. Because of the use of various classes libraries which make this system flexible, we call it a knowledge-based integrated manufacturing flexible simulation system.

Using Object-Oriented Frame Language for Realizing Discrete Event Simulation

1996 ◽  
Author(s):  
Ming Dong ◽  
Jianzhong Cha ◽  
Mingcheng E
Keyword(s):  
Knowledge Base ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Object Oriented ◽  
Simulation Models ◽  
Activity Cycle ◽  
Event Simulation ◽  
Knowledge Based ◽  
Inference Engines ◽  
Reasoning About Knowledge

Abstract In this paper, we realize knowledge-based discrete event simulation model’s representation, reasoning and implementation by means of object-oriented(OO) frame language. Firstly, a classes library of simulation models is built by using the OO frame language. And then, behaviours of simulation models can be generated by inference engines reasoning about knowledge base. Lastly, activity cycle diagrams can be used to construct simulation network logic models by connecting the components classes of simulation models. This kind of knowledge-based simulation models can effectively solve the modeling problems of complex and ill-structure systems.

scholarly journals Modeling and Analysis of Autonomous Agents’ Decisions in Learning to Cross a Cellular Automaton-Based Highway

Computation ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 53 ◽  
Author(s):  
Shengkun Xie ◽  
Anna T. Lawniczak ◽  
Chong Gan
Keyword(s):  
Simulation Model ◽  
Cellular Automaton ◽  
Knowledge Base ◽  
Autonomous Agents ◽  
Regression Tree ◽  
Simulation Models ◽  
Traffic Density ◽  
Cognitive Agents ◽  
Modeling And Analysis ◽  
Traffic Environment

For a better understanding of the nature of complex systems modeling, computer simulations and the analysis of the resulting data are major tools which can be applied. In this paper, we study a statistical modeling problem of data coming from a simulation model that investigates the correctness of autonomous agents’ decisions in learning to cross a cellular automaton-based highway. The goal is a better understanding of cognitive agents’ performance in learning to cross a cellular automaton-based highway with different traffic density. We investigate the effects of parameters’ values of the simulation model (e.g., knowledge base transfer, car creation probability, agents’ fear and desire to cross the highway) and their interactions on cognitive agents’ decisions (i.e., correct crossing decisions, incorrect crossing decisions, correct waiting decisions, and incorrect waiting decisions). We firstly utilize canonical correlation analysis (CCA) to see if all the considered parameters’ values and decision types are significantly statistically correlated, so that no considered dependent variables or independent variables (i.e., decision types and configuration parameters, respectively) can be omitted from the simulation model in potential future studies. After CCA, we then use the regression tree method to explore the effects of model configuration parameters’ values on the agents’ decisions. In particular, we focus on the discussion of the effects of the knowledge base transfer, which is a key factor in the investigation on how accumulated knowledge/information about the agents’ performance in one traffic environment affects the agents’ learning outcomes in another traffic environment. This factor affects the cognitive agents’ decision-making abilities in a major way in a new traffic environment where the cognitive agents start learning from existing accumulated knowledge/information about their performance in an environment with different traffic density. The obtained results provide us with a better understanding of how cognitive agents learn to cross the highway, i.e., how the knowledge base transfer as a factor affects the experimental outcomes. Furthermore, the proposed methodology can become useful in modeling and analyzing data coming from other computer simulation models and can provide an approach for better understanding a factor or treatment effect.

scholarly journals Development of the Object-Oriented Dynamic Simulation Models Using Visual C++ Freeware

2016 ◽  
Vol 2016 ◽  
pp. 1-19 ◽  
Author(s):  
Alexander I. Kozynchenko ◽  
Sergey A. Kozynchenko
Keyword(s):  
Simulation Model ◽  
High Performance ◽  
Object Oriented ◽  
Simulation Models ◽  
Basic Structure ◽  
Dynamical Models ◽  
Model Framework ◽  
Development Environment ◽  
Domain Specific ◽  
High Flexibility

The paper mostly focuses on the methodological and programming aspects of developing a versatile desktop framework to provide the available basis for the high-performance simulation of dynamical models of different kinds and for diverse applications. So the paper gives some basic structure for creating a dynamical simulation model in C++ which is built on the Win32 platform with an interactive multiwindow interface and uses the lightweight Visual C++ Express as a free integrated development environment. The resultant simulation framework could be a more acceptable alternative to other solutions developed on the basis of commercial tools like Borland C++ or Visual C++ Professional, not to mention the domain specific languages and more specialized ready-made software such as Matlab, Simulink, and Modelica. This approach seems to be justified in the case of complex research object-oriented dynamical models having nonstandard structure, relationships, algorithms, and solvers, as it allows developing solutions of high flexibility. The essence of the model framework is shown using a case study of simulation of moving charged particles in the electrostatic field. The simulation model possesses the necessary visualization and control features such as an interactive input, real time graphical and text output, start, stop, and rate control.

Integrated Operator-Plant Process Modeling and Decision Support for Allocation of Function

1987 ◽  
Vol 31 (7) ◽  
pp. 815-819 ◽  
Author(s):  
Jack C. Schryver ◽  
Helmut E. Knee
Keyword(s):  
Simulation Model ◽  
Nuclear Power ◽  
Process Model ◽  
Simulation Models ◽  
Human Operator ◽  
Performance Simulation ◽  
Knowledge Based ◽  
Advanced Control ◽  
Machine Systems ◽  
Allocation Of Function

Human operator simulation models can play an important information role in the allocation of functions in person-machine systems. A prototype simulation model system developed at ORNL is described in which a human operator model (INTEROPS) and a nuclear power plant (NPP) process model are dynamically integrated. INTEROPS is a cognitive/ performance simulation model which is itself a dynamic integration of a SAINT task network model and a knowledge-based subsystem which reasons with uncertainty. Potential contributions of INTEROPS to NPP advanced control design are evaluated.

PML: An Object-Oriented Language for Modelling Automation

2004 ◽  
Author(s):  
Juan Jose´ Ramos ◽  
Miquel A`ngel Piera
Keyword(s):  
Procedural Knowledge ◽  
Model Simulation ◽  
Object Oriented ◽  
Simulation Models ◽  
Modeling Language ◽  
Physical Knowledge ◽  
Modeling Process ◽  
Community Effort ◽  
Computational Aspects ◽  
Modular Structures

To cope with the growing demands for simulation models of ever increasing complex industrial systems, the research community effort has been mainly focused in creating different software tools which simplify the modeling process. This work describes how the Object-Oriented Modeling language PML (Physical Modeling Language) automates the modeling process by using physical knowledge in order to set the mathematical model of the system. PML introduces new modular structures to represent the physical knowledge required to model a system, making a clear separation between the physical behaviour representation (declarative knowledge) and the computational aspects of model simulation (procedural knowledge).

Ontology-Based Unified Representation of Dynamic Simulation Models in Engineering Design

2018 ◽  
Author(s):  
Jun Yu ◽  
Zhenjun Ming ◽  
Guoxin Wang ◽  
Yan Yan ◽  
Xiaoping Lan
Keyword(s):  
Simulation Model ◽  
Knowledge Base ◽  
Engineering Design ◽  
Dynamic Simulation ◽  
Collaborative Design ◽  
Simulation Models ◽  
Heterogeneous Data ◽  
Automation Systems ◽  
Dynamic Simulation Model ◽  
Definition Of

The development of complex product dynamic simulation models and the integration of design automation systems require knowledge from multiple heterogeneous data sources and tools. Because of the heterogeneity of model data, the integration of tools and data is a time-consuming and error-prone task. The main objective of this study is to provide a unified model of dynamic simulation for engineering design, which serves as a knowledge base to support the development of a dynamic simulation model. The integration of knowledge is realized through (i) definition of the structure and interface during the design phase of the dynamic simulation model, and (ii) definition of a model-driven integrated environment configuration process during the runtime phase. In order to achieve interoperability among the different simulation models in a collaborative design environment, we build a “Demand-Resources-Service-Knowledge-Process (DKRSP)” ontology that formally represents the semantics of dynamic simulation models. Based on the ontology, a knowledge base is created for the management of dynamic simulation knowledge. The efficacy of the ontology and the knowledge base are demonstrated using a transmission design example.

A HYBRID KNOWLEDGE ENGINEERING DEVELOPMENT ENVIRONMENT (KEDE)

1992 ◽  
Vol 01 (04) ◽  
pp. 463-502 ◽  
Author(s):  
ZIJIAN ZHENG ◽  
WEI LI
Keyword(s):  
Procedural Knowledge ◽  
Knowledge Engineering ◽  
Predicate Logic ◽  
Object Oriented ◽  
Development Environment ◽  
Engineering Development ◽  
Knowledge Based ◽  
Retrieval Technique ◽  
Automatic Retrieval ◽  
Hybrid Knowledge

This paper presents a brief overview of knowledge-based system building tools. Then a hybrid knowledge engineering development environment called KEDE is described as a powerful toolkit for large AI problems. It provides five kinds of knowledge representations: extended frames, semantic nets, procedural knowledge, object-oriented technique, and predicate logic. Correspondingly, it supports: procedure-oriented, data-oriented, object-oriented, and logic-oriented programming. KEDE gains a very powerful inheritance mechanism using frames. It further provides an automatic retrieval technique for processing implicit knowledge, a demon mechanism for firing functions, a message-sending mechanism for activating methods, and two inference engines for backward, forward, and even mixed reasoning. All these facilities are tightly integrated and formed an entirety. KEDE has been implemented in Common Lisp on Sun workstations.

An Object-Oriented Knowledge-Based System for Assembly of Printed Circuit Boards

1991 ◽  
Author(s):  
Sisir K. Padhy ◽  
S. N. Dwivedi
Keyword(s):  
Knowledge Base ◽  
Printed Circuit Boards ◽  
Printed Circuit Board ◽  
Object Oriented ◽  
Circuit Board ◽  
Design Stage ◽  
Circuit Boards ◽  
Printed Circuit ◽  
Knowledge Based System ◽  
Knowledge Based

Abstract In this paper, Printed Circuit Board Assembly Advisor (PCAAD), an object-oriented knowledge-based system is described. The system aims to aid the designer by suggesting design modifications that will lead to a better design for assembly of the Printed Circuit Boards. To account for the new trends in the printed circuit board production, hybrid technology, i.e. combination of both the through-hole mounted technology and surface mounted technology, is taken into consideration in developing the knowledge base. The assembly constraints as well as various limitations of different techniques and processes are considered to formulate the rules and guidelines. Moreover, a hierarchical rule structure has been employed in creating the knowledge base. Smalltalk-80, the object-oriented language and Surface Percept Description Language (SPDL) are used for the creation of knowledge base. The system provides a high-level user interface and reasoning capability to solve complex problems. It is capable of ranking different designs and suggesting design modifications to the designer during the design stage to eliminate assembly problems in the latter phase of board production.

scholarly journals SIMULATION OF STEVEDORING WORK IN THE KLAIPEDA OIL TERMINAL

Transport ◽  
2002 ◽  
Vol 17 (5) ◽  
pp. 188-193
Author(s):  
Henrikas Pranevičius ◽  
Dalius Makackas
Keyword(s):  
Simulation Model ◽  
Formal Specification ◽  
Queuing Theory ◽  
Simulation Models ◽  
Simulation System ◽  
Formal Description ◽  
Real Time Systems ◽  
Timing Properties ◽  
Linear Aggregate ◽  
Time Systems

The paper presents the approach of developing simulation models of stevedoring work in oil terminal using aggregate approach and simulation system ARENA. Aggregate approach permits to develop formal specification of simulated systems. Aggregate specification of the system is presented as a set of interacting piece-linear aggregates. Controlling sequences are used for formal description of each piece-linear aggregate. Transformation of aggregate formal specification to ARENA system operators permits to develop a simulation model. The developed model permits to evaluate characteristics of the Klaipeda oil terminal which are used both in queuing theory and analysing timing properties of real-time systems.

Study on Highway Safety Simulation Evaluation Model and Method

2012 ◽  
Vol 170-173 ◽  
pp. 3677-3682
Author(s):  
Yong Qiu Wei ◽  
Li Ping Li ◽  
Hong Zhi Yang
Keyword(s):  
Computer Simulation ◽  
Simulation Model ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Simulation Models ◽  
Simulation System ◽  
Highway Safety ◽  
Driver Model ◽  
Highway Design ◽  
Vehicle Operation

We analyzed the characteristics of highway simulation system; established framework for a Multi-Agent based simulation system, and identified the construction framework for the highway safety simulation model. Through constructing computer simulation models – vehicle model, driver model, road model and barrier crash simulation model – to simulate vehicle operation on highway, we obtained quantitative indices such as operating speed, acceleration, and brake requirement, and evaluated highway design specifications. In consideration of specific highway project, we analyzed and evaluated the application effect of the simulation model in alignment safety evaluation and barrier setting safety evaluation, confirmed that the practicality of the simulation model. The result showed that computer simulation can help designers find design problems during the design period, make timely correction, and improve the scientificity and appropriateness.

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