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Dynamic taint analysis has been widely used in software testing, debugging, vulnerability detection and other fields. A popular idea is that we can combine dynamic taint analysis with symbolic execution techniques or fuzz techniques forming the testing framework to test automatically. When testing large applications which costs longer time, a distributed system can be very practical. However, the...
Recently, there has been much more attention focusing on the evolving networks, whose application domains include Web networks, social networks, communication networks and etc. In this paper, we focus on a financial network, where nodes represent participants of a financial market. Due to lending activities, funds are transferred from one participant to another, and credit-debt relationships between...
Intracranial hypertension of patients with traumatic brain injury (TBI) is fatal. Quick and appropriate control of intracranial pressure (ICP) are highly related to the outcomes of patients. One way to observe and/or predict the elevation of ICP is morphological analysis of ICP pulse waveforms. In order to investigate the shape of ICP pulse in a beat-by-beat fashion, the major landmarks were detected...
Traumatic brain injury (TBI) and stroke are the two major form of Acquired brain injury (ABI). To the effectiveness of the quantitative CT analysis in ABI, fully automated artefact elimination technique would be required. So, this study purpose to test the effectiveness of proposed algorithm against CT images from TBI and stroke patients. For the effectiveness of automated artefact elimination algorithm,...
Voltage stability is a crucial factor in power system operation. When bus voltage exceeds the operation limits because of change of the operation mode, load in the network or the environmental factors, appropriate control actions should be taken to guarantee a secure system operation, avoiding emergency situations or voltage collapse. Development and improvement of the algorithm for voltage security...
An optimal digital signal combining algorithm for arraying is proposed. Our approach is a blind combining technique, which doesnpsilat require any training sequence. In achieving coherence among various receivers, the combining algorithm attempts to maximize the combined output signal-to-noise ratio (SNR). Itpsilas shown in numerical simulations that the combining loss of an 8-element array could...
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