Artificial Intelligence in Thesaurus for Design Engineering Information Query System

Volume 3 ◽  
2004 ◽  
Author(s):  
Hideo Takechi ◽  
Yasuo Takahashi
Keyword(s):  
Artificial Intelligence ◽  
Design Engineering ◽  
Two Dimensional ◽  
Online Database ◽  
Data Store ◽  
Engineering Information ◽  
Query System ◽  
Dimensional Object ◽  
Method Model ◽  
Derivatives Of

The aim of this project is to demonstrate competence of a query system built by an artificial intelligence for two dimensional weld objects stored in a online database. The structure of this system consists of a knowledge base for data store and LISP coded AI (Artificial Intelligence) objects designated for search engine at online query. The data structure to define two-dimensional object such as a figure in database, dominates the systematic way of identifying or recognizing objects among pursuing the query. It is also very crucial whether or not the inference engine can directly assess the derivatives of the figure difinitions such as the area of an object, when manipulating inference for the network of meshed objects like FEM (Finite Element Method) model used for weld joint.

A Robot Vision System Based on Two-Dimensional Object-Oriented Models

1986 ◽  
Vol 16 (4) ◽  
pp. 582-589 ◽  
Author(s):  
Lorenz A. Schmitt ◽  
William A. Gruver ◽  
Assad Ansari
Keyword(s):  
Vision System ◽  
Robot Vision ◽  
Object Oriented ◽  
Two Dimensional ◽  
Dimensional Object

scholarly journals Groundwork of artificial intelligence humanities

JAHR ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 189-207
Author(s):  
Chankyu Lee ◽  
Hyeongjoo Kim
Keyword(s):  
Artificial Intelligence ◽  
Cultural Studies ◽  
Smart City ◽  
Research Areas ◽  
The World ◽  
Artificial Intelligence Technology ◽  
Literature History ◽  
Derivatives Of

The aim of the Artificial Intelligence Humanities is to present humanistic suggestions for our lives and academia regarding how humans will live in a smart city surrounded by artificial intelligence technology. With that purpose in mind, we introduce the groundwork for the Artificial Intelligence Humanities and share our related concerns. As a concept, “Artificial Intelligence Humanities” comprises three elements: “artificial intelligence,” “content of the humanities,” and “methodology of the humanities.” The “content of the humanities,” comprises the derivatives of the traditional humanities, namely, linguistics, literature, history, ethics, sociology, and cultural studies. These five research areas, along with the discipline created through the traditional humanities’ acceptance of the changes brought by the age of intelligence, are derived by reflecting on oneself and the world, and they are applied to the world as it exists today in the age of artificial intelligence and the humanities.

Applications of PNC in Numerical Methods

2017 ◽  
pp. 235-268
Keyword(s):  
Probability Distribution ◽  
Shape Representation ◽  
Mathematical Problem ◽  
Distribution Functions ◽  
Two Dimensional ◽  
Key Points ◽  
Characteristic Points ◽  
Curve Modeling ◽  
Curve Contour ◽  
Dimensional Object

Nodes are treated as characteristic points of data for modeling and analyzing. The model of data can be built by choice of probability distribution function and nodes combination. Two-dimensional object is extrapolated and interpolated via nodes combination and different functions as discrete or continuous probability distribution functions: polynomial, sine, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan, arc cot or power function. Curve interpolation represents one of the most important problems in mathematics and computer science: how to model the curve via discrete set of two-dimensional points? Also the matter of shape representation (as closed curve - contour) and curve parameterization is still opened. For example pattern recognition, signature verification or handwriting identification problems are based on curve modeling via the choice of key points. So interpolation is not only a pure mathematical problem but important task in computer vision and artificial intelligence.

Properties of Spatial-Rotation Transformations of Fractional Derivatives

2020 ◽  
pp. 198-223
Author(s):  
Ehab Malkawi
Keyword(s):  
Fractional Calculus ◽  
Fractional Derivatives ◽  
Dimensional Space ◽  
Scalar Fields ◽  
Two Dimensional ◽  
Spatial Rotation ◽  
Essential Step ◽  
Derivatives Of

The transformation properties of the fractional derivatives under spatial rotation in two-dimensional space and for both the Riemann-Liouville and Caputo definitions are investigated and derived in their general form. In particular, the transformation properties of the fractional derivatives acting on scalar fields are studied and discussed. The study of the transformation properties of fractional derivatives is an essential step for the formulation of fractional calculus in multi-dimensional space. The inclusion of fractional calculus in the Lagrangian and Hamiltonian dynamical formulation relies on such transformation. Specific examples on the transformation of the fractional derivatives of scalar fields are discussed.

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