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513 results for “vector”
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Research ArticleOpen accessEvery word in the titleMoisture Content Prediction of Dried Longan Aril from Dielectric Constant Using Multilayer Perceptrons and Support Vector RegressionSanong Amaroek, Nipon Theera-Umpon, Kittichai Wantanajittikul, Sansanee AuephanwiriyakulProblem statement: Estimation of moisture contents of dried food products from their dielectric constants was an important step in moisture measurement systems. The regression models that provide good prediction performance are desirable. Approach: The Multilayer Perceptrons (MLP) and Support Vector Regression (SVR) were applied in this research to predict the moisture contents of dried longan arils from their dielectric constants. … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,666 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHuman Behavior Classification Using Multi-Class Relevance Vector MachineB. Yogameena, S. Veera Lakshmi, M. Archana, S. Raju AbhaikumarProblem statement: In computer vision and robotics, one of the typical tasks is to identify specific objects in an image and to determine each object’s position and orientation relative to coordinate system. This study presented a Multi-class Relevance Vector machine (RVM) classification algorithm which classifies different human poses from a single stationary camera for video surveillance applications. Approach: First the … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,390 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAssessment of Useful Life of Lubricants Using Analytical Hierarchy Process (AHP) and Vector Projection Approach (VPA)Surachai Bovornsethanant, Somchai WongwisesProblem statement: In general, engine oil is usually changed as defined by car or lubricant manufacturers, which is according to mileage. However, it was found from past researches that, at the predefined mileage or timeframe, most lubricant is still acceptably usable and efficient. Approach: This research aimed to calculate useful life of lubricant in order to reach its maximum usefulness. … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 7,640 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Smooth Support Vector Machine and Its Applications in Diabetes Disease DiagnosisSanti Wulan Purnami, Abdullah Embong, Jasni Mohd Zain, S. P. RahayuProblem statement: Research on Smooth Support Vector Machine (SSVM) is an active field in data mining. Many researchers developed the method to improve accuracy of the result. This study proposed a new SSVM for classification problems. It is called Multiple Knot Spline SSVM (MKS-SSVM). To evaluate the effectiveness of our method, we carried out an experiment on Pima Indian diabetes … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,587 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImplementing a Vector Controller Using 68k ProcessorsMohammad Bagher, Bannae Sharifian, Mohammad Reza Feyzi et al.Problem statement: This study described the design of a 3-phase AC Induction Motor (ACIM) vector control drive with position encoder coupled to the motor shaft. Approach: It was based on free scale's (Motorola's) 68k micro processor devices. Although the free scale 56F80x (56800 core) and 56F8300 (56800E core) families were well-suited for digital motor control and offer all things was … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,686 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Use of Taguchi Method to Determine Factors Affecting the Performance of Destination Sequence Distance Vector Routing Protocol in Mobile Ad Hoc NetworksHazura. Mohamed, Muhammad Hisyam Lee, Mazalan Sarahintu et al.In this study, Taguchi method was used to identify the several factors that may affect the performance of Destination Sequence Distance Vector (DSDV) routing protocol. The performance of DSDV routing protocol in mobile ad hoc networks were greatly influence by factors such as node speed, node pause time and traffic load. Problem statement: By using orthogonal experimental design and analysis … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,797 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleVector Control of a Variable Reluctance Machine Stator and Rotor Discs ImbricatesAbdelhamid BoucettaThis study was devoted, in its first part, to the configuration and the modelling of the Imbricate Discs Variable Reluctance Machine (IDVRM), which was simplified with the assumption of stator structure alike to that of the synchronous machine, leading to the possibility of using the PARK's transformation. Then, a vector control strategy, which maintains a constant saturation level in the … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2008 · 7,401 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSupport Vector Machine for Discrimination Between Fault and Magnetizing Inrush Current in Power TransformerV. Malathi, N. S. MarimuthuThis study presents a novel technique based on Support Vector Machine (SVM) for the classification of transient phenomena in power transformer. The SVM is a powerful method for statistical classification of data. The input data to this SVM for training comprises fault current and magnetizing inrush current. SVM classifier produces significant accuracy for classification of transient phenomena in power transformer. …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 6,737 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Recursive Application of a Support Vector Machine for Protein Spot Detection in 2-Dimensional Gel ElectrophoresisGary D. Boetticher, Hisham Al-Mubaid, Karen Frasier-ScottTwo-dimensional polyacrylamide gel electrophoresis (2-D PAGE) analysis remains the core of proteomic technology because it is currently the most powerful method to analyze large collections of proteins. Advances in electrophoresis equipment are making this technique more accessible but effective computer assisted protein spot detection remains a very labor-intensive endeavor. Protein spot analysis is still time consuming, requires human intervention and … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,675 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,571 accessesView PDFCite