Knowledge-based selection of principle solutions for sensors and actuators based on standardized plant description and semantic concepts

2015 ◽  
Author(s):  
Maik Riedel ◽  
Esteban Arroyo ◽  
Alexander Fay
Keyword(s):  
Sensors And Actuators ◽  
Knowledge Based ◽  
Semantic Concepts ◽  
Selection Of

KNOWLEDGE-BASED APPROACH TO ADAPTIVE SELECTION OF EQUIPMENT FOR TEACHING ROBOTICS

2019 ◽  
Author(s):  
Tetiana Mazurok ◽  
◽  
Volodymyr Chernykh ◽  
Keyword(s):  
Decision Making ◽  
Teaching Methods ◽  
Academic Disciplines ◽  
Administrative Staff ◽  
Adaptive Selection ◽  
Knowledge Based ◽  
Technical Base ◽  
Decision Making System ◽  
Oriented Approach ◽  
Selection Of

Innovations and progress in teaching, introduction of new academic disciplines in the curricula, changes in the paradigm of school education in Ukraine, the search for innovative tools, techniques and teaching methods, especially teaching STEAM create a good basis for teaching robotics. However, the organization of classes in robotics requires the creation of a special educational ecosystem, which important element is the technical base (equipment). It is not a secret, that administrative staff who sometimes even do not have required experience in technology are often engaged in the procurement of equipment and its selection. The current study was conducted to solve this problem, as well as to create a universal recommendation for creating an appropriate ecosystem for teaching robotics As part of the study, the task was to develop a prototype of an expert decision-making system for selecting of an appropriate equipment and zoning of a classroom (ICR) for conducting classes in robotics. Knowledge-oriented approach was used to create the prototype. Keywords: knowledge-based approach, robotics, adaptive selection, teaching robotics.

Machine Learning and Financial Investing

2010 ◽  
pp. 375-386
Author(s):  
Jie Du ◽  
Roy Rada
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Evolutionary Computation ◽  
Evolutionary Methods ◽  
Knowledge Based ◽  
Key Features ◽  
Selection Of

This chapter presents the case for knowledge-based machine learning in financial investing. Machine learning here, while it will exploit knowledge, will also rely heavily on the evolutionary computation paradigm of learning, namely reproduction with change and selection of the fit. The chapter will begin with a model for financial investing and then review what has been reported in the literature as regards knowledge-based and machine-learning-based methods for financial investing. Finally, a design of a financial investing system is described which incorporates the key features identified through the literature review. The emerging trend of incorporating knowledge-based methods into evolutionary methods for financial investing suggests opportunities for future researchers.

A Knowledge-Based Tool for the Selection of Design Options During the Competitive Tendering of Vehicle Systems

Volume 3 ◽  
2004 ◽  
Author(s):  
Clive I. Kerr ◽  
Rajkumar Roy ◽  
Peter J. Sackett
Keyword(s):  
Automotive Industry ◽  
Proof Of Concept ◽  
Competitive Tendering ◽  
Knowledge Based ◽  
Vehicle System ◽  
Tier 1 ◽  
Vehicle Systems ◽  
Design Options ◽  
Selection Of

In the automotive industry the activities of documenting the design options and generating the necessary request for quotations, for Tier 1 system suppliers to be awarded contracts for design and development, is complex and time-consuming since these activities are predominately manual and paper-based. Thus, a knowledge-based tool is being developed to aid the selection of the design options for vehicle systems during competitive tendering. The tool is based on ontologies in order to provide a common and shared definition for the options available for a given vehicle system. An overview of this approach is provided and, as a ‘proof of concept’, a case study involving seating systems is presented. This paper shows, through the seating system case study, how the functionalities and features of a vehicle system can be selected and documented in order to streamline the business process of contracting out product development through the supply chain.

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