This paper focuses on Optimal Experimental Design to train a Projection Pursuit Regression (PPR) model used for fault detection. A novel experimental design method, referred to as Gaussian Probability Design, is proposed and compared with the conventional Factorial Design. The Gaussian Probability Design automatically searches for the sparseness of the data, and adds pairs of training data on b...

Abstract: Background: Topical gels are an efficient and targeted therapy for local dermatological problems because they distribute medications effectively easy to wipe off the skin. The presented study was aimed use Quality by Design (QbD) features develop, optimise, evaluate a topical gel containing certain plant enzymes wound healing activity. Objectives: objective of this contour plots multi...

But these experiments [2] will not give us any information about the dependence or independence of the two factors, namely study habit and home environment. In such cases, we resort to Factorial ANOVA which not only helps us to study the effect of two or more factors but also gives information about their dependence or independence in the same experiment. There are many types of factorial desig...

A new class of two-level non-regular fractional factorial designs is defined. We call this class an affinely full-dimensional factorial design, meaning that design points in the design of this class are not contained in any affine hyperplane in the vector space over F2. The property of the indicator function for this class is also clarified. A fractional factorial design in this class has a des...

With the emergence of e-commerce, logistics industry has grown, and manual transport sorting express delivery gradually revealed its drawbacks. This system is mainly applied to machine work in courier transfer station, which can realize identification positioning pieces through vision module, mechanical arm, transporting trolley, finally putting into corresponding area improve speed accuracy so...