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Exploits diagnosis requires great manual effort and desires to be automated as much as possible. In this paper, we investigate how the syntactic format of program inputs, as well as reverse engineering of data structures, could be used to identify overwritten data structures, and propose a binary-level exploit diagnosis approach, deExploit, that is generic to attack types and effective in identifying...
Text detection and recognition in natural scene images plays an important role in content analysis of images. In this paper, based on the characteristics of scene text, we propose a robust text detection and recognition method using Maximally Stable Extremal Regions (MSER) and Support Vector Machine (SVM). Different from the end to end text recognition, we split the recognition problem into detection...
Accurate land use/cover (LUC) classification data derived from remotely sensed data are very important for land use planning and environment sustainable development. Traditionally, statistical classifiers are often used to generate these data, but these classifiers rely on assumptions that may limit their utilities for many datasets. Conversely, artificial neural network (ANN) and decision tree (DT)...
The urbanization effect on climate warming over the recent three decades (1978~2007) in Guangzhou, south China, where has experienced rapid urbanization process since China's reform and opening-up initiated in the late 1978, was estimated by comparing surface air temperature (SAT) observations in the urban meteorological station with those in its two surrounding rural stations. The climatic warming...
Based on the analysis of loss distribution approach, loss events can be divided into three types: internal fraud, external fraud and illegal operation. Then, we adopt two-stage distribution to fit the loss intensity distribution of operational risk and Gibbs sampling of Bayesian theory to obtain the parameter estimates, which can reduce error caused by the insufficient low-frequency and high-loss...
We describe a 2-GHz evanescent microwave magnetic dipole probe and its applications in imaging high-frequency electromagnetic properties of metallic magnetic samples. The probe offers the advantages of low cost and ease of implementation. It consists of a small inductive metallic loop fed by a microstripline resonator that is scanned over ferromagnetic samples. In contrast to the electric dipole probe...
Self-welded double-wall and multi-wall carbon nanotube (DWCNT and MWCNT) bridges were used for the first time as nano-scale piezoresistors to monitor vibration and deformation of silicon cantilever beams. The CNTs were grown using low-pressure metal-catalyzed chemical vapor deposition technique between silicon-on-insulator posts situated over cantilever beams such that when the beams were deformed,...
Near-field microwave probes were developed and used to image electromagnetic properties of materials with spatial resolutions only limited by the probe aperture size, signal-to-noise ratio and not by the Abbe barrier. The price of this "super" resolution is point-by-point scanning of the sample that makes it slow and requires additional mechanisms to control the probe-to-sample distance...
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