Artificial Intelligence

1210 Submissions

[4] viXra:1210.0134 [pdf] submitted on 2012-10-23 18:38:54

Extenics in Higher Dimensions

Authors: Florentin Smarandache
Comments: 112 Pages.

Prof. Florentin Smarandache, during his research period in the Summer of 2012 at the Research Institute of Extenics and Innovation Methods, from Guangdong University of Technology, in Guangzhou, China, has introduced the Linear and Non-Linear Attraction Point Principle and the Network of Attraction Curves, he has generalized the 1D Extension Distance and the 1D Dependent Function to 2D, 3D, and in general to n-D Spaces, and he generalized Qiao-Xing Li’s and Xing-Sen Li’s definitions of the Location Value of a Point and the Dependent Function of a Point on a Single Finite Interval from one dimension (1D) to 2D, 3D, and in general n-D spaces. He used the Extenics, together with Victor Vlădăreanu, Mihai Liviu Smarandache, Tudor Păroiu, and Ştefan Vlăduţescu, in 2D and 3D spaces in technology, philosophy, and information theory. Extenics is the science of solving contradictory problems in many fields set up by Prof. Cai Wen in 1983.
Category: Artificial Intelligence

[3] viXra:1210.0087 [pdf] submitted on 2012-10-17 10:58:57

On the Maneuvering Control of Networks of Moving Vehicles

Authors: Jae Park, Evgeniy Grechnikov, Fang Chen
Comments: 7 Pages.

A maneuvering control algorithm based on the independent all-wheel driving and steering control has been proposed to improve the maneuverability and survivability for special purpose 6WD/6WS vehicles. The control algorithm to perform maneuvering, high speed stability, and fault tolerant controls effectively are derived based on high dynamic characteristics of in-wheel motor and advantages of independent steer and drive. The maneuvering controller applies sliding and optimal control theories considering optimal torque distribution and friction circle related to the vertical tire force.
Category: Artificial Intelligence

[2] viXra:1210.0080 [pdf] submitted on 2012-10-16 13:31:05

SVM-DSmT Combination for Off-Line Signature Verification

Authors: Nassim Abbas, Youcef Chibani
Comments: 5 Pages.

We propose in this work a signature verification system based on decision combination of off-line signatures for managing conflict provided by the SVM classifiers. The system is basically divided into three modules: i) Radon Transform-SVM, ii) Ridgelet Transform-SVM and iii) PCR5 combination rule based on the generalized belief functions of Dezert-Smarandache theory. The proposed framework allows combining the normalized SVM outputs and uses an estimation technique based on the dissonant model of Appriou to compute the belief assignments. Decision making is performed through likelihood ratio. Experiments are conducted on the well known CEDAR database using false rejection and false acceptance criteria. The obtained results show that the proposed combination framework improves the verification accuracy compared to individual SVM classifiers.
Category: Artificial Intelligence

[1] viXra:1210.0079 [pdf] submitted on 2012-10-16 12:24:38

Generalizations in Extenics of the Location Value and Dependent Function from A Single Finite Interval to 2D, 3D, and n-D Spaces

Authors: Florentin Smarandache, Mihai Liviu Smarandache
Comments: 9 Pages.

Qiao-Xing Li and Xing-Sen Li have defined in 2011 the Location Value of a Point and the Dependent Function of a Point on a single finite or infinite interval. In this paper we extend their definitions from one dimension (1D) to 2D, 3D, and in general n-D spaces. Several examples are given in 2D and 3D spaces.
Category: Artificial Intelligence