In this paper, we introduce the basic concepts of some state-of-the-art classification methods, including independent component analysis (ICA), principal component analysis (PCA), Bayes method, and support vector machine (SVM) or kernel machine. We discuss their function in the classification and evaluate their performance for different applications. 1 STATISTICAL CLASSIFICATION Classification ...

A new crack detection approach based on local binary patterns (LBP) with support vector machine (SVM) was proposed in this paper. The propsed algorithm can extract the LBP feature from each frame of video taken road. Then, dimension spaces be reduced by Principal Component Analysis(PCA). simplified samples are trained to decided type using Support Vector Machine(SVM). In order reflect direction...

As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the network. Due to large volumes of security audit data as well as complex and dynamic properties of intrusion behaviors, optimizing performance of IDS becomes an important open problem that is receiving more and more attenti...

يديوتامورلا لصافلما باهتلا ضيرم180 ةساردلا تلمش :جئاتنلا عافترا نأ جئاتنلا ترهظأ .)اًماع 40.49±12.19 رمعلا طسوتم( يف LDL لدعم و )55.1%(لورتسلوكلا لدعم عافترا راشتنا لدعم عافترا ينب ةيئاصحإ ةوق تاذ ةقلاع دوجو نع تفشك .)51.2%( ىلع ةولاعو .)p=0.002( CRP لا هبسن عافترا و لورتسيلوكلا طاشنو يلكلا لورتسلوكلا ينب ةيباجيإ ةقلاع دوجو انظحلا ،كلذ طاقن رخآ ضرم ةكرتشلما اًماع 28 مادختساب اهسايق تم امك ،ضرلما ...

phenomenon of price manipulation is one of the factors which have caused mistrust of the investors to the stock market and inhibits its growth and prosperity. entering the shareholders into the stock market, on one hand leads to increase in the general level of revenues and on the other hand causes inexpensive financing for companies. in this research, at first by using duration dependence test...

This paper investigates and compares between applying the algorithms of Support Vector Machine (SVM), Principal Component Analysis (PCA), Individual Principal Component Analysis (iPCA), Linear Discriminant Analysis (LDA), and Single-Nearest-Neighbor Method (1-NNM) to distorted-character recognition. Applying SVM achieves a classification error rate of 2.15% on the Letter-Image Dataset [Frey and...

To deal with credit card fraud, a detection model based on Class Weighted Support Vector Machine was established. Due to large-scale and high dimensions of data, Principal Component Analysis (PCA) was adopted firstly to screen out the main factors from a great deal of indicative attributes in order to reduce the training dimension of SVM effectively. Then according to the characteristics of cre...

The effect of base temperature variation on the heat transfer from unsteady state annular heat sink of cooling microelectronic device. Three types of the base temperature variation equations are taken in the present study. The Sine wave variation, Cosine wave variation & exponential variation of the base temperature. The finite element technique based on Galerkin method with axisymmetric rectan...

In order to improve forecasting accuracy of cooling load, this paper applies support vector machine (SVM) model with modified parallel cat swarm optimization (MPCSO) to forecast next-day cooling load in district cooling system(DCS). By extracting the Eigen value of the input historical load data, principal component analysis (PCA) algorithm is used to reduce the complexity of the data sequence....

This paper presents a ultrasonic flaw signal classification system by using wavelet transform and support vector machine (SVM). A digital flaw detector is first used to acquire the signals of defective carbon fiber reinforced polymer (CFRP) specimen with void, delamination and debonding. After that, the time domain based ultrasonic signals can be processed by discrete wavelet transform (DWT), a...