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79 articles for “PCA”
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Research ArticleOpen accessIn the abstractPolycyclic Aromatic Hydrocarbon Accumulation and Biomarker Responses in Cockles from Moroccan Mediterranean CoastsIkram Chbani, Saida Bouzid, Nourredine Bouayad, Hassan Er-RaiouiThis study aims to evaluate levels and effects of Polycyclic Aromatic Hydrocarbons (PAHs) in cockles (Acanthocardia tuberculatae) collected from two differently influenced areas in the Mediterranean Western Moroccan coasts. PAHs accumulation was studied in soft tissues using Soxhlet extraction and separation on silica column methods. The measure of those organic compounds was realized by Gas chromatography coupled to Mass spectrometer … …American Journal of Environmental Sciences, Vol. 15, Issue 4 · 30 Jul 2019 · 7,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractDirect Sequence and Frequency Hopping Signals Classification Based on Co-Occurrence Matrix and Clustering TechniquesHaidy S. Fouad, Hend A. Elsayed, Shawkat K. GirgisSpread Spectrum techniques (SS) were first developed for military applications, but currently, they have commercial applications. SS provides secure communication and allows multiple accesses for same radio spectrum. So, most Wireless Local Area Network (WLAN) systems use it, as do Cognitive Radios (CR), space systems and Global Positioning Systems (GPS). Direct Sequence Spread Spectrum (DSSS) and frequency hopped spread spectrum … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 8,203 accessesView PDFCite
Research ArticleOpen accessIn the abstractRADIUS BASED BLOCK LOCAL BINARY PATTERN ON T-ZONE FACE AREA FOR FACE RECOGNITIONMd. Jan Nordin, Abdul Aziz K. Abdul Hamid, Sumazly Ulaiman, R. U. GobithaasanThis study presents a comparison of recognition performance between feature extraction on the T-Zone face area and Radius based block on the critical point. A T-Zone face image is first divided into small regions where Local Binary Pattern (LBP) histograms are extracted and then concatenated into a single feature vector. This feature vector will further reduce the dimensionality scope by … …Journal of Computer Science, Vol. 10, Issue 12 · 27 Dec 2014 · 7,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractHYPERPARAMETER SELECTION IN KERNEL PRINCIPAL COMPONENT ANALYSISMd. Ashad Alam, Kenji FukumizuIn kernel methods, choosing a suitable kernel is indispensable for favorable results. No well-founded methods, however, have been established in general for unsupervised learning. We focus on kernel Principal Component Analysis (kernel PCA), which is a nonlinear extension of principal component analysis and has been used electively for extracting nonlinear features and reducing dimensionality. As a kernel method, kernel PCA … …Journal of Computer Science, Vol. 10, Issue 7 · 15 Feb 2014 · 8,721 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETECTION OF LAND USE AND LAND COVER CHANGES IN DIRAB REGION OF SAUDI ARABIA USING REMOTELY SENSED IMAGERIESR. Madugundu, K. A. Al-Gaadi, V. C. Patil, E. TolaKnowledge of Land Use and Land Cover (LULC) changes is important for many planning and management activities. It is thought to be an essential element for modeling and understanding the major land forms, especially in arid regions like Saudi Arabia. This study investigates the LULC changes in Dirab region of Saudi Arabia between 1980 and 2010, using Landsat TM/ETM+images. After … …American Journal of Environmental Sciences, Vol. 10, Issue 1 · 30 Jan 2014 · 8,013 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE ACCESS CONTROL SYSTEM BASED ON LINEAR DISCRIMINANT ANALYSISWidodo BudihartoFace recognition represents an important computer vision domain that has been researched in the last decades. The objective of this research is to develop an Access Control System based on Face Recognition using Linear Discriminant Analysis (LDA) method. The analysis is done by making an application of face recognition using LDA for extracting features of the face and the output … …Journal of Computer Science, Vol. 10, Issue 3 · 29 Nov 2013 · 6,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractFORECASTING THE FINANCIAL RETURNS FOR USING MULTIPLE REGRESSION BASED ON PRINCIPAL COMPONENT ANALYSISNop SopipanThe aim of this study was to forecast the returns for the Stock Exchange of Thailand (SET) Index by adding some explanatory variables and stationary Autoregressive order p (AR (p)) in the mean equation of returns. In addition, we used Principal Component Analysis (PCA) to remove possible complications caused by multicollinearity. Results showed that the multiple regressions based on PCA, … …Journal of Mathematics and Statistics, Vol. 9, Issue 1 · 17 Apr 2013 · 6,958 accessesView PDFCite
Research ArticleOpen accessIn the abstractFORECASTING RETURNS FOR THE STOCK EXCHANGE OF THAILAND INDEX USING MULTIPLE REGRESSION BASED ON PRINCIPAL COMPONENT ANALYSISNop Sopipan, Anchalee Sattayatham, Samruam ChongcharoenThe aim of this study was to forecast the returns for the Stock Exchange of Thailand (SET) Index by adding some explanatory variables and stationary Autoregressive Moving-Average order p and q (ARMA (p, q)) in the mean equation of returns. In addition, we used Principal Component Analysis (PCA) to remove possible complications caused by multicollinearity. Afterwards, we forecast the volatility … …Journal of Mathematics and Statistics, Vol. 9, Issue 1 · 18 Mar 2013 · 7,438 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Face Recognition Technique Based on Modular LPCA ApproachMathu Soothana S. Kumar, Retna Swami, Muneeswaran KaruppiahProblem statement: A face identification algorithm based on modular localized variation by Eigen Subspace technique, also called modular localized principal component analysis, is presented in this study. Approach: The face imagery was partitioned into smaller sub-divisions from a predefined neighborhood and they were ultimately fused to acquire many sets of features. Since a few of the normal facial features of … …Journal of Computer Science, Vol. 7, Issue 12 · 22 Oct 2011 · 6,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractVertical Profile of C, N, P, K and Radionuclides in Soil Collected from Highland Tea Plantation AreasZaini Hamzah, Seh Datul Riduan, Ahmad SaatProblem statement: Cameron Highlands is a well known agricultural area in Peninsular Malaysia. Long term usage of fertilizer has caused accumulation of major elemental component in the soil. This accumulation will cause enrichment of the nutrient in the catchment located at downstream of the river through runoff. Approach: Two tea plantations on the upstream with hilly condition plantation were selected … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 11 Oct 2011 · 7,509 accessesView PDFCite