Problem Solving Process for Euler Method by Using Object Oriented Design Method

2015 ◽  
pp. 221-228
Author(s):  
P. Rajarajeswari ◽  
A. Ramamohanreddy ◽  
D. Vasumathi
Keyword(s):  
Problem Solving ◽  
Design Method ◽  
Object Oriented ◽  
Euler Method ◽  
Object Oriented Design ◽  
Problem Solving Process

scholarly journals Design and Realization of Shooting Virtual Training System for UAV-borne Missile

2021 ◽  
Vol 2083 (3) ◽  
pp. 032057
Author(s):  
Shicong Lin ◽  
Xin Tang ◽  
Wanlin Lu ◽  
Zehui Liu
Keyword(s):  
Design Method ◽  
Object Oriented ◽  
Simulation System ◽  
Training System ◽  
Visual Simulation ◽  
Virtual Training ◽  
Object Oriented Design ◽  
Training Costs ◽  
Object Based ◽  
Training Efficiency

Abstract UAV-borne missile is effective weapon to attack enemy ground targets. It is expensive, costly and difficult to live-fire drill. Using virtual training instead of actual training can greatly improve the training efficiency and the combat effectiveness. The article regards the operation training of a certain type of UAV-borne missile shooting training as the research object, based on the development of a visual simulation system for UAV-borne missile, uses the object-oriented design method to design a virtual training system based on LabVIEW. The system can realize the shooting operation training of trainees in a virtual environment, and achieve the goals of reduce training costs; improve training efficiency and shorten training period.

DKRL — AN OBJECT-ORIENTED LANGUAGE TO SUPPORT PROBLEM SOLVING IN DISTRIBUTED BLACKBOARD SYSTEMS

1993 ◽  
Vol 07 (02) ◽  
pp. 221-242 ◽  
Author(s):  
MANOJ K. SAXENA ◽  
K.K. BISWAS ◽  
P.C.P. BHATT
Keyword(s):  
Problem Solving ◽  
Knowledge Base ◽  
Message Passing ◽  
Object Oriented ◽  
Object Oriented Programming ◽  
Current Status ◽  
External Knowledge ◽  
Blackboard Systems ◽  
Problem Solving Process ◽  
Internal Knowledge

For distributed problem solving systems, there is a need to define knowledge at two levels, one external to the agents and the other internal to the agents. External knowledge is required to achieve cooperation among agents and global convergence of the problem solving process, whereas internal knowledge is required to solve the sub-problems assigned to the agents. External knowledge specifies the role of each agent and its relationship with other agents in the system. Internal knowledge specifies knowledge structure and the problem solving process within each agent. DKRL is an object-oriented language for describing distributed blackboard systems. In DKRL a problem solving system is described as a collection of distributed intelligent, autonomous agents (modelled as objects), cooperating to solve the problem. An agent consists of a knowledge base, a behaviour part, a local controller, a monitor, and a communication controller. DKRL has characteristics of a dynamic nature, i.e. the agents can be created dynamically and the relationship among them also changes dynamically. An agent in DKRL’s computational model cannot be activated by more than one message at the same time and uses a virtual synchrony environment for message transmission among agents. This model combines the advantages of remote procedure calls with those of asynchronous message passing. DKRL allows object-oriented programming techniques to be used for system development and facilitates the development by allowing one-to-one mapping between the objects in the knowledge model and the knowledge base of the agent. In this paper, we give an overview of the distributed blackboard paradigm for which DKRL was developed as well as the design considerations. We also propose and formally describe the underlying models of DKRL and explain how concurrency is exploited by DKRL. We conclude with the current status of and preliminary experience with DKRL in using it for the development of a gate assignment problem.

scholarly journals Analysis of Mathematical Problem Solving Capabilities : Impact of Improve and OSBORN Learning Models on Management Education

2020 ◽  
Vol 3 (1) ◽  
pp. 17-26
Author(s):  
Munifah Munifah ◽  
Windi Septiyani ◽  
Indah Tri Rahayu ◽  
Rahmi Ramadhani ◽  
Hasan Said Tortop
Keyword(s):  
Problem Solving ◽  
Design Method ◽  
Mathematical Problem ◽  
Learning Model ◽  
Mathematical Problem Solving ◽  
Learning Models ◽  
Problem Solving Skills ◽  
Sample Test ◽  
Problem Solving Process ◽  
The Impact

Objectives The ability to solve problems is to gain knowledge and motivation in the problem solving process of students. The researcher used the IMPROVE and OSBORN learning models to improve problem solving skills. The IMPROVE and OSBORN learning models emphasize the development of optimal mathematical skills and generate new ideas in the process of problem solving. This research is used to see the impact of the IMPROVE learning model and OSBORN learning model which is better in mathematical problem solving abilities. This research uses the Quasy Experimental Design method. Hypothesis testing uses an independent sample test. The conclusion of the study is the mathematical problem solving ability of students who use the IMPROVE learning model is better than the mathematical problem solving abilities of students who use the OSBORN learning model.

scholarly journals A Logic Framework for Non-Conscious Reasoning

2017 ◽  
Author(s):  
Felipe Lara-Rosano
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Fuzzy Sets ◽  
Object Oriented ◽  
Knowledge Based Systems ◽  
Multivalued Logic ◽  
Knowledge Based ◽  
Problem Solving Process ◽  
Everyday Problems

Human non-conscious reasoning is one of the most successful procedures developed to solve everyday problems in an efficient way. This is why the field of artificial intelligence should analyze, formalize and emulate the multiple ways of non-conscious reasoning with the purpose of applying them in knowledge based systems, neurocomputers and similar devices for aiding people in the problem-solving process. In this paper, a framework for those non-conscious ways of reasoning is presented based on object-oriented representations, fuzzy sets and multivalued logic.

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