Objective(s): Hypoxia is a serious challenge for treatment of solid tumors. This condition has been manifested to exert significant therapeutic effects on glioblastoma multiform or (WHO) astrocytoma grade IV. Hypoxia contributes numerous changes in cellular mechanisms such as angiogenesis, metastasis and apoptosis evasion. Furthermore, in molecular level, hypoxia can cause induction of DNA br...

This paper proposes a robust pilot protection scheme based on waveform similarity that restricts the influence of outliers in fault line identification. By comparing two refactoring currents constructed using time-domain sampling values at terminals transmission line, algorithm called Kendall's Tau coefficient (KTC) is employed to distinguish different datasets protected line. A reliable identi...

This article presents an off-line identification method to estimate the minimal knowledge of the inertia parameters for determining the dynamic model of a manipulator. A new approach is proposed to find a set of the minimal knowledge of the inertia parameters. This set is recursively estimated by moving one joint at a time. The off-line identification procedure also provides a sufficient condit...

This paper considers the use of neural networks for non-linear state estimation, identification and control of non-linear processes. The non-linear identification is using feed-forward neural networks as a useful mathematical tool to build a model between the input and the output of a non-linear process. In this paper we consider the possibility of on-line state estimation of the actual paramet...

On-line (HPLC-NMR) and off-line (HPLC, NMR and MS) methodologies were used to profile the constituents present in the crude extract of Lasiopetalum macrophyllum. On-flow and stop-flow HPLC-NMR supported the presence of trans-tiliroside and permitted partial identification of cis-tiliroside and 4'-methoxy-trans-tiliroside. Off-line isolation led to the unequivocal identification of four flavanoi...

Automatic identification of a script in a document image facilitates many important applications such as automatic archiving of multilingual documents; searching online archives of document images and for the selection of script specific OCR in a multilingual environment. In this work a technique for script identification from document images is proposed. The method uses vertical and horizontal...

Writer identification is an important and active branch of biometrics, which means the methods for uniquely recognizing humans based upon their intrinsic physical or behavioral traits. In this paper, we propose one new method for off-line, textindependent writer identification by using the fractal dimension of wavelet subbands in Gabor domain of the handwriting images. In this method, the handw...

The new approach to analysis of on-line identification methods based on one-step-ahead prediction clears up their sensitivity to disturbances in control loop and explain why should be neural network based identification better then classical by using of short sampling period. The use of short sampling period in adaptive control has not been described properly when controlling the real process b...

In this paper, dynamic neural networks are used for engine model at idle speed on-line identification. Passivity approach is applied to access several stability properties of the neuro identifier. The conditions for passivity, stability, asymptotic stability and input-to-state stability are established. We conclude that the commonly-used backpropagation algorithm with a modification term which ...

This paper presents a stable on-line adaptive identification technique for the identification of finitedimensional dynamical models of dynamically positioned underwater robotic vehicles. A direct comparison of this method to a conventional, off-line, least-squares method is presented. Using experimental data obtained using the JHU Remotely Operated Vehicle, both methods are employed to develop ...