Wavelet Bayesian Method for Denoising of Nano-Scalar Surface Measurement

Articles in the same Issue

1. Table of Contents
2. Operational Factors that Influence the Successful Adoption of Internet Technology in Manufacturing
3. Grinding Performance of High-Porosity Fine-Grain Vitrified CBN Wheels for Inconel 718
4. CAD Genetic Algorithms for Evolutionary Form and Function Design
5. Genetic Algorithms Applied to Material Utilisation in Leather Shoe Manufacturing
6. Optimal Scheduling Utilising Factorial Analysis and Constrained Optimisation
7. CAM System for Layer-Based EDM
8. An Analysis of the Effects of Distributed Light Sources for Surface Gradient Recovery Using Reflectance Maps and Computer Simulation
9. Information Theory as a Measure of Schedule Complexity
10. Stimulating Design Reuse Through Automated Coding
11. A Simulated Investigation on Machining Instability and Non-linear Aspects in CNC Turning Processes
12. Structure-Based Aggregate Process Models for Complex Assemblies
13. Finite Element Simulation of Impulsive Drawing of Square Cups
14. A Matrix Approach for Forging Error Assessment
15. The Improvement of Geometric Accuracy of FMS Machine Through Retrofitting and Compensation
16. FE Simulation for Development of Process Design Considerations-An Industry Case Study
17. A Novel Case Based Reasoning System for Selecting Grinding Parameters for Superalloys
18. An Online Chatter Detection and Control System for the High Speed Machining of Moulds and Dies
19. Artificial Neural Networks for Improving Cost Model Development Process
20. Wavelet Bayesian Method for Denoising of Nano-Scalar Surface Measurement
21. Web-based Manufacturing Management for Collaborative e-Manufacturing