Tool fault diagnosis in numerical control (NC) machines plays a significant role in ensuring manufacturing quality. However, current methods of tool fault diagnosis lack accuracy. Therefore, in the present paper, a fault diagnosis method was proposed based on stationary subspace analysis (SSA) and least squares support vector machine (LS-SVM) using only a single sensor. First, SSA was used to e...

This paper is a study of continuous time Singular Spectrum Analysis (SSA). We show that the principal eigenfunctions are solutions to a set of linear ODEs with constant coefficients. We also introduce a natural generalization of SSA, constructed using local (Lie-) transformation groups. The time translations used in standard SSA is a special case. The eigenfunctions then satisfy a simple type o...

BACKGROUND Sessile serrated adenomas/polyps (SSA/Ps) may account for 20-30% of colon cancers. Although large SSA/Ps are generally recognized phenotypically, small (<1 cm) or dysplastic SSA/Ps are difficult to differentiate from hyperplastic or small adenomatous polyps by endoscopy and histopathology. Our aim was to define the comprehensive gene expression phenotype of SSA/Ps to better define th...

We review the class of partial-propensity exact stochastic simulation algorithms (SSA) for chemical reaction networks. We show which modules partial-propensity SSAs are composed of and how partial-propensity variants of known SSAs can be constructed by adjusting the sampling strategy used. We demonstrate this on the example of two instances, namely the partial-propensity variant of Gillespie’s ...

Design-oriented analysis of switching converters must take into account how disturbances and variations in the input and control signals affect the optimum performance of these converters. Sate-space averaging of a nonideal boost converter is presented in this paper. DC state and small signal AC state modeling of the converter was derived. Determination of line-to-output transfer function, whic...

Influence maximization is a combinatorial optimization problem that finds important applications in viral marketing, feed recommendation, etc. Recent research has led to a number of scalable approximation algorithms for influence maximization, such as TIM and IMM, and more recently, SSA and D-SSA. The goal of this paper is to conduct a rigorous theoretical and experimental analysis of SSA and D...

In this paper, we propose a new variant of SSA called-SSA and discuss its construction through symbolic interpretation of programs. By relaxing a condition of SSA form without violating the fundamental nature of static single assignment,-SSA form results in a representation which uses fewer join functions than the minimal SSA form. A graph representation called Value Flow Graph (VFG) is used to...

BACKGROUND HEp-2 cells that overexpress the human 60-kDa SSA antigen have been used to improve sensitivity and specificity for the detection of anti-SSA antibodies by indirect immunofluorescence. We describe a survey on the detection of anti-SSA antibodies using a commercial substrate that overexpresses SSA. METHODS The evaluation was done on 18 371 consecutive samples submitted to the labora...

BACKGROUND Secondary systemic amyloidosis (SSA) is a rare but severe complication of inflammatory bowel disease (IBD). We aimed to evaluate the clinical characteristics, predictors of complications, and in-hospital mortality of patients with Crohn's disease (CD) and Ulcerative colitis (UC) who develop SSA. METHODS Using the National Inpatient Sample, we identified patients hospitalized for IB...