Knowledge based simulation models as an aid to product testing for usability

1996 ◽  
Vol 4 (6) ◽  
pp. 383-398
Author(s):  
P.R. Innocent
Keyword(s):  
Simulation Models ◽  
Product Testing ◽  
Knowledge Based

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.

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.

A Knowledge-Based Multi-Criteria Decision Support System Encompassing Cascading Effects for Disaster Management

2018 ◽  
Vol 17 (05) ◽  
pp. 1469-1498 ◽  
Author(s):  
Brunella Caroleo ◽  
Enrico Palumbo ◽  
Michele Osella ◽  
Antonio Lotito ◽  
Giuseppe Rizzo ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Simulation Models ◽  
Point Of View ◽  
Mitigation Strategies ◽  
Cascading Effects ◽  
Event Time ◽  
Cascading Effect ◽  
Knowledge Based

This paper describes a knowledge-based decision support system (KB-DSS) to improve the preparedness of crisis situations induced by natural and technological hazards. The proposed KB-DSS aims to manage the potential cascading effects generated by a triggering hazard assessing the possible event time histories based on interconnected probabilistic simulation models. From a methodological point of view, a decision model based on two Multi-Criteria Decision-Making (MCDM) algorithms follows a cascading effect simulation model. This combination allows to support the decision maker in comparing a set of mitigation strategies on the basis of their expected impacts and his priorities. The algorithm is based on an ensemble approach, which combines decisions over an array of possible impact scenarios, instead of only relying on the average impact scenario. An application of the KB-DSS to the case of a possible reactivation of Nea Kameni volcano in Santorini is presented to show how the proposed architecture could be applied to a real case. The proposed methodology supports the emergency planners in making the best decisions supporting them also in the choice of the best timing for the intervention.

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.

Assessing the Migration and Transformation of Pesticides in the Subsurface : The Role of Expert Systems

1990 ◽  
Vol 25 (3) ◽  
pp. 293-324 ◽  
Author(s):  
A.S. Crowe ◽  
J.P. Mutch
Keyword(s):  
Expert System ◽  
Numerical Models ◽  
Simulation Models ◽  
Management Tool ◽  
Transport And Transformation ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Regulatory Evaluation ◽  
Agricultural Regions

Abstract The expert system described here is designed to aid regulatory personnel in their assessment of the potential for pesticides to contaminate groundwater. The expert system, known as EXPRES (EXpert system for Pesticide Regulatory Evaluation Simulations), consists of existing simulation models coupled with a knowledge-based system. The numerical models are used to simulate the transport and transformation of pesticides in the unsaturated zone. The knowledge-based system guides the user through the choice of all the necessary information for characterizing the physical, climatic, hydrogeological, pedological and agricultural settings of typical agricultural regions across Canada required by the pesticide model, as well as aiding the user with the model predictions. EXPRES is designed to be used as a management tool to aid in policy decisions and is not intended for use as a research tool. Thus, its purpose is not to provide insight into the processes that control the fate of pesticides in porous media, but to provide an assessment of the potential hazards and to identify if further study is warranted.

Knowledge-based aircraft fuel system integration

2018 ◽  
Vol 90 (7) ◽  
pp. 1128-1135 ◽  
Author(s):  
Raghu Chaitanya Munjulury ◽  
Ingo Staack ◽  
Adrián Sabaté López ◽  
Petter Krus
Keyword(s):  
Conceptual Design ◽  
Design Process ◽  
System Integration ◽  
Simulation Models ◽  
Fuel System ◽  
Content Type ◽  
Centre Of Gravity ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Aircraft Conceptual Design

Purpose This paper aims to present a knowledge-based fuel system, implementation and application, oriented towards its use in aircraft conceptual design. Design/methodology/approach Methodology and software tools oriented to knowledge-based engineering applications (MOKA) is used as a foundation for the implementation and integration of fuel systems. Findings Including fuel systems earlier in the design process creates an opportunity to optimize it and obtain better solutions by allocating suitable locations in an aircraft, thereby reflecting on the centre of gravity of the aircraft. Research limitations/implications All geometries are symbolic, representing a space allocation inside the aircraft for the fuel system. A realistic representation of the real components could be realized in detail design. Practical implications Fuel weight is a significant part of take-off weight and decisive in aircraft sizing and range estimations. The three-dimensional geometry provides a better estimation of the volume that is available to allocate the necessary entities. It also provides fast measures for weight and balance, fuel capacity, relative tank positions and a first estimation of piping length. Originality/value Fuel systems appear early in the design process, as they are involved in several first estimations. By using a knowledge-based engineering approach, several alternatives can be visualized and estimated in the conceptual design process. Furthermore, using the weights and centre of gravity at different angles of pitch and roll of each fuel tank, the aircraft could be optimized for handling qualities by using automatically generated system simulation models.

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