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In ad hoc networks, the unused spectrum resources can be effectively sensed by cognitive radio technology, and transmission performance will be improved. Cooperative spectrum sensing is necessary because a single node cannot detect the existence of primary user accurately due to shadowing, noise and fading in wireless channels. Gradient based cooperative sensing (GBCS) is a widely used scheme in distributed...
In this paper, we investigate the problem of autonomous integrated navigation of strapdown inertial navigation system (SINS)/ celestial navigation system (CNS) for a ballistic missile. To handle the nonlinear missile dynamic model, three filtering methods including extended Kalman filter (EKF), extended Kalman particle filter (EKPF) and unscented particle filter (UPF) are utilized to fusion the integrated...
Based on the principle of Principal component analysis (PCA), we present an unsupervised dimensionality reduction method called PLS2-B which using X instead of Y in the regression of Partial least squares (PLS). we proved that the number of PLS2-B latent variables is equal to the components of PLS2-B and is equal to the principal components of PCA, PLS2-B and PCA will be completely equivalent, and...
Today's competitive business climate and the complexity of IT environments dictate efficient and cost effective service delivery and support of IT services. This is largely achieved through automating of routine maintenance procedures including problem detection, determination and resolution. System monitoring provides effective and reliable means for problem detection. Coupled with automated ticket...
Prognosis is a fundamental enabling technique for condition-based maintenance (CBM) systems and prognostics and health management (PHM) systems and therefore, plays a critical role in the successful deployment of these systems. The purpose of prognosis is to predict the remaining useful life of a system/subsystem or a component when a fault is detected. Although different prognostic algorithms have...
Modern computing systems are instrumented to generate huge amounts of system logs and these data can be utilized for understanding and complex system behaviors. One main fundamental challenge in automated log analysis is the generation of system events from raw textual logs. Recent works apply clustering techniques to translate the raw log messages into system events using only the word/term information...
Applying data mining algorithms to microarray data analysis is an interesting and promising work. Gene Expression Programming (GEP) is a new development of evolution computation. GEP performs global search and discover the classification discriminant with high accuracy. However, it is undesirable to apply GEP on microarray classification directly, since the evolution efficiency of GEP is low when...
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