this paper aims to assess the application of support vector machine (svm) regression in order to analysis flexible pavements. to this end, 10000 four-layer flexible pavement sections consisted of asphalt concrete layer, granular base layer, granular subbase layer, and subgrade soil were analyzed under the effect of standard axle loading using multi-layered elastic theory and pavement critical r...

In recent years, the productivity of machine tools has been significantly improved by using computer-based CAD/CAM systems for Computer Numerical Control (CNC). Various types of CAM software in the market that provide tool path programming and can be applied for different types of the machining process such as drilling, milling, and turning. However, sometimes the default tool path generated in...

Recent advances in derivative-free optimization allow efficient approximation of the global-optimal solutions sophisticated functions, such as functions with many local optima, non-differentiable and non-continuous functions. This article describes ZOOpt (Zeroth Order Optimization) toolbox that provides solvers is designed easy to use. single-machine parallel on basis python core multi-machine ...

For the geometry characteristics of open free-form surfaces, it is hard to consider global interference during the planning of feasible domains. Therefore, the optimal kinematic orientation of tool axis will no longer be confined to the boundary of feasible domains. In this paper, according to the principle demanding that the tool should be fitted to a surface as close as possible and relevant ...

This paper gives an overview of what resources, including software tools, reference material and course material, are currently available on the web for teaching machine translation, and discusses where to find these resources. It makes some suggestions as to how these resources and access to them can be enhanced in the future.

performance optimization of chisel tine was proposed by using a chisel plow with adjustable rake angle. effective treatments consisted of soil moisture at 0.5, 0.7 and 0.9 of plastic limit (pl), three rake angle of 30, 40 and 50 degree and speeds of to 3, 5 and 7 km h-1. the measured parameters included draft, soil disturbance area, soil upheaving area, clod mean weight diameter (mwd), specific...

We examine the interplay of optimization and machine learning. Great progress has been made in machine learning by cleverly reducing machine learning problems to convex optimization problems with one or more hyper-parameters. The availability of powerful convexprogramming theory and algorithms has enabled a flood of new research in machine learning models and methods. But many of the steps nece...

a multi objective honey bee mating optimization (hbmo) designed by online learning mechanism is proposed in this paper to optimize the double fuzzy-lead-lag (fll) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. the proposed double fll stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...

This paper presents an optimization post-processing module allowing to improve and to optimize tool-tip milling operations. Moreover, this module verifies and insures milling feasibility of a complex tri-dimensional shape. During such situations, the tool is in contact with the workpiece through a point located on its ball-end mill. Knowing that a relatively large variation of the tool orientat...