Principal Component Analysis (PCA) is one of the feature extraction techniques, commonly used in human facial recognition systems. PCA yields high accuracy rates when requiring lower dimensional vectors; however, the computation during covariance matrix and Eigenvalue Decomposition (EVD) stages leads to a high degree of complexity that corresponds to the increase of datasets. Thus, this researc...

The network traffic data used to build an intrusion detection system is frequently enormous and redundant with important useless information which decreases IDS efficiency. In order to overcome this problem, we have to reduce as much as possible this meaningless information from the original high dimensional data. To do this, we have compared the performance of two features reduction techniques...

Glomerular fibrin deposition and augmentation of procoagulant activity (PCA) are dependent on glomerular macrophage infiltration in anti-glomerular basement membrane antibody-induced glomerulonephritis (anti-GBM GN) in rabbits. Expression of PCA on the surface of glomerular macrophages and/or augmentation of intrinsic glomerular cell PCA by macrophage cytokines (such as IL 1) are potential mech...

Arginase 2, inducible- and endothelial-nitric-oxide synthase (iNOS and eNOS), indoleamine 2,3-dioxygenase (IDO) and TGF-beta, might impair immune functions in prostate cancer (PCA) patients. However, their expression was not comparatively analysed in PCA and benign prostatic hyperplasia (BPH). We evaluated the expression of these genes in PCA and BPH tissues. Seventy-six patients (42 BPH, 34 PC...

The selection of appropriate wavelets is an important target for any application. In this paper Face recognition has been performed using Principal component analysis (PCA), Gaussian based PCA and Gabor based PCA. PCA extracts the relevant information from complex data sets and provides a solution to reduce dimensionality. PCA is based on Euclidean distance calculation which is minimized by app...

4 DPA derivative samples are difficult to obtain. The excellent work of W. A. SCHRGEDER et al. utilized column chromatography to identify. and estimate N-nitrosoand nitrodiphenylamine products in smokeless powder· 2 however, the efficiency of separation and X .0 n -1 .-1 method of locating the products proved unsatisfactory for our use. Other 5:2 4 5 5.2 1/ : ' : , R K:11 quantitative methods w...

The energy states of electrons are given by unique combinations of n=1, 2, ...; l=0, 1, ..., n-1; ml = -l, ..., -1, 0, 1, ..., l; and ms = ±1/2. The sequence and occupancy of allowed states can be stated as the Periodic Table and the energy of electron transitions can be calculated precisely in QED. In the second half of the 20 century, a nuclear version of the wave-equation (Eq. 2) led directl...

respectively. In either case, choosing α̂(ω) = δ(ω) results in a variance proportional to that of the integrand. These equations provide different insight into the choice of importance function for variance reduction. Eq. 2 suggests that ideally, g(x) = 1/α(x) should be chosen so that α̂(ω) contains all its energy at frequencies where the square of the integrand has no energy. Eq. 3, on the other...

PURPOSE Opioid-based intravenous patient-controlled analgesia (IV-PCA) is a popular method of postoperative analgesia, but many patients suffer from PCA-related complications. We hypothesized that PCA was not essential in patients undergoing major abdominal surgery by minimal invasive approach. METHODS Between February 2013 and August 2013, 297 patients undergoing laparoscopic surgery for col...