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In this paper a new vulnerability discovery method based on symbolic execution and machine learning is proposed. Given a vulnerable function, similar function set can be located efficiently based on machine learning technique. Function call graphs of each function from the similar function set are obtained by dataflow analysis of the whole program. At last, the symbolic execution engine KLEE is used...
This paper presents a .NET framework as the integrating software platform linking all constituent modules of the fault diagnosis and failure prognosis architecture. The inherent characteristics of the .NET framework provide the proposed system with a generic architecture for fault diagnosis and failure prognosis for a variety of applications. Functioning as data processing, feature extraction, fault...
In order to sort out different parts, computer vision is usually used to recognize parts with features on the sorting production line of mechanical parts. As for the core of machine vision, the design of computer vision software, VC++ program method is usually adopted to develop it. The developers need to encapsulate a special class for image process. And methods of pattern recognition are used to...
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