Optimal Design of Plasticizing Screw Using Artificial Intelligent Approach

2020 ◽  
Vol 1500 ◽  
pp. 012022
Author(s):  
Min-Wen Wang ◽  
Fatahul Arifin ◽  
Jhen-Wei Kuo ◽  
Tzong-Horng Dzwo
Keyword(s):  
Optimal Design ◽  
Artificial Intelligent ◽  
Intelligent Approach

Application of Behavioral Modeling Technology in Gearbox Cabinet Optimal Design

2011 ◽  
Vol 58-60 ◽  
pp. 141-146
Author(s):  
Zhong Wang ◽  
Ming Rui Chen ◽  
Xing Fu
Keyword(s):  
Optimal Design ◽  
Optimum Design ◽  
Iterative Solution ◽  
Behavior Modeling ◽  
Behavioral Modeling ◽  
Knowledge Capture ◽  
Modeling Tool ◽  
Multi Objective ◽  
Modeling Technology ◽  
Intelligent Approach

The behavior modeling technology is introduced. A gearbox cabinet model is analyzed and optimized in this paper with Pro/Engineer behavioral modeling tool, the geometry of gearbox cabinet model is generated and controlled through the intelligent approach of knowledge capture and iterative solution, the optimum design results are obtained, and multi-objective design of the cabinet model is also analyzed in this paper.

scholarly journals A Review: Artificial Intelligent Approach for Enhancing Adaptability in an Adaptive E-Learning Environment

2021 ◽  
Vol 10 (4) ◽  
pp. 37-42
Author(s):  
M.P.L. Perera
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Decision Making ◽  
Fuzzy Logic ◽  
Artificial Intelligent ◽  
Human Decision ◽  
Decision Making Processes ◽  
E Learning ◽  
Intelligent Approach ◽  
Learning Frameworks

Adaptive e-learning the aim is to fill the gap between the pupil and the educator by discussing the needs and skills of individual learners. Artificial intelligence strategies that have the potential to simulate human decision-making processes are important around adaptive e-Learning. This paper explores the Artificial techniques; Fuzzy Logic, Neural Networks, Bayesian Networks and Genetic Algorithms, highlighting their contributions to the notion of the adaptability in the sense of Adaptive E-learning. The implementation of Artificial Neural Networks to resolve problems in the current Adaptive e-learning frameworks have been established.

Crime Detection with DCT and Artificial Intelligent Approach

2013 ◽  
Vol 816-817 ◽  
pp. 610-615 ◽  
Author(s):  
Ahmad Kadri Junoh ◽  
Muhammad Naufal Mansor ◽  
Alezar Mat Ya'acob ◽  
Farah Adibah Adnan ◽  
Syafawati Ab. Saad ◽  
...  
Keyword(s):  
Public Policy ◽  
Support Vector Machine ◽  
Nearest Neighbor ◽  
Support Vector ◽  
K Nearest Neighbor ◽  
Policy Studies ◽  
Artificial Intelligent ◽  
Crime Detection ◽  
Intelligent Approach ◽  
Comprehensive Study

Crime rate in Malaysia is almost in awareness stage. The centre for Public Policy Studies Malaysia reports that the ratio of police to population is 3.6 officers to 1,000 citizens in Malaysia. This lack of manpower sources ratios alone are not a comprehensive afford of crime fighting capabilities. Thus, dealing with these circumstances, we present a comprehensive study to determine bandit behavior with Discrete Cosine Transform (DCT), Support vector machine (SVM) and k Nearest Neighbor (k-NN) Classifier. This system provided a good justification as a monitoring supplementary tool for the Malaysian police arm forced.

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