In this paper we discuss the application of ToF-SIMS with an Au3 + primary ion beam, combined with principal components analysis (PCA) and discriminant function analysis (DFA) for the identification of individual strains of two Bacillus species. The ToF-SIMS PC-DFA methodology is capable of distinguishing bacteria at the strain level based on analysis of surface chemical species. By classifying...

Data Flow Analysis (DFA for short) is a basic technique to collect statical information on run-time behaviors of programs: it is essential in optimizing compilers and is also used in type inference problems [1]. When performing a DFA, the program to be analysed is modeled by its Control Flow Graph (CFG) and by a set of transformation functions, one for each node in the graph. The set of program...

A product redesign approach has been developed to facilitate the product modification processes. This approach combines the idea of Function Allocation (FA), Problem Recommendation Driven Mechanism (PRDM) and the Design for Assembly (DFA) methodology to develop an effective redesign approach. The DFA is used to evaluate a product from the viewpoint of assembly and product design. The FA is used...

We evaluated the predictive power of two classification techniques, one parametric !/ discriminant function analysis (DFA) and the other non-parametric !/ classification and regression tree analysis (CART), in order to provide a non-subjective quantitative method of determining age class in Vancouver Island marmots (Marmota vancouverensis ) and hoary marmots (Marmota caligata ). For both techni...

This paper introduces optimization of machining parameters for high-pressure abrasive water jet cutting Hardox 500 steel utilizing desirability function analysis (DFA). The tests were carried out according to the orthogonal matrix (Taguchi) L9. control process such as pressure, flow rate, and traverse speed was optimized under multi-response conditions namely depth surface roughness. optimal se...

In economics, several parametric regression-based models have been proposed to measure the technical efficiency of decision making units (DMUs). However, the problem of misspecification restricts the use of these methods. In this paper, symbolic regression is employed to obtain the approximate optimal production function automatically using genetic programming (GP). Monte Carlo simulation is us...

An enhanced time-delay neural network (TDNN), using time series sensor response data, improved pattern recognition ability of an electronic nose (e-nose) in discriminating four different spices. TDNN was used for analysis of e-nose time series sensor data from 0 to 4 min, while two popular pattern recognition methods, discriminant function analysis (DFA) and multilayer perceptron (MLP) trained ...

5 Methods for Non-Stationary Fractal Time-Series Analysis 15 5.1 Wavelet Analysis . . . . . . . . . . . . . . . . . . . . . . . . . 15 5.2 Discrete Wavelet Transform (WT) Approach . . . . . . . . . . 16 5.3 Detrended Fluctuation Analysis (DFA) . . . . . . . . . . . . . 16 5.4 Detection of Trends and Crossovers with DFA . . . . . . . . . 19 5.5 Sign and Magnitude (Volatility) DFA . . . . . . . ....