In this paper,negative selection and genetic algorithms are combined and an improved bi-objective optimization scheme is presented to achieve optimized negative selection algorithm *** main aim of the optimal detector...
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In this paper,negative selection and genetic algorithms are combined and an improved bi-objective optimization scheme is presented to achieve optimized negative selection algorithm *** main aim of the optimal detector generation technique is maximal nonself space coverage with reduced number of diversified ***,researchers opted clonal selection based optimization methods to achieve the maximal nonself coverage milestone;however,detectors cloning process results in generation of redundant similar detectors and inefficient detector distribution in nonself *** approach proposed in the present paper,the maximal nonself space coverage is associated with bi-objective optimization criteria including minimization of the detector overlap and maximization of the diversity factor of the *** the proposed methodology,a novel diversity factorbased approach is presented to obtain diversified detector distribution in the nonself *** concept of diversified detector distribution is studied for detector coverage with 2-dimensional pentagram and spiral ***,the feasibility of the developed fault detection methodology is tested the fault detection of induction motor inner race and outer race bearings.
Our purpose in this study was to assess the radiation dose reduction and the actual exposed scan length of over-range areas using a spiral dynamic z-collimator at different beam pitches and detector coverage. Using gl...
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Our purpose in this study was to assess the radiation dose reduction and the actual exposed scan length of over-range areas using a spiral dynamic z-collimator at different beam pitches and detector coverage. Using glass rod dosimeters, we measured the unilateral over-range scan dose between the beginning of the planned scan range and the beginning of the actual exposed scan range. Scanning was performed at detector coverage of 80.0 and 40.0 mm, with and without the spiral dynamic z-collimator. The dose-saving ratio was calculated as the ratio of the unnecessary over-range dose, with and without the spiral dynamic z-collimator. In 80.0 mm detector coverage without the spiral dynamic z-collimator, the actual exposed scan length for the over-range area was 108, 120, and 126 mm, corresponding to a beam pitch of 0.60, 0.80, and 0.99, respectively. With the spiral dynamic z-collimator, the actual exposed scan length for the over-range area was 48, 66, and 84 mm with a beam pitch of 0.60, 0.80, and 0.99, respectively. The dose-saving ratios with and without the spiral dynamic z-collimator for a beam pitch of 0.60, 0.80, and 0.99 were 35.07, 24.76, and 13.51%, respectively. With 40.0 mm detector coverage, the dose-saving ratios with and without the spiral dynamic z-collimator had the highest value of 27.23% with a low beam pitch of 0.60. The spiral dynamic z-collimator is important for a reduction in the unnecessary over-range dose and makes it possible to reduce the unnecessary dose by means of a lower beam pitch.
Negative selection algorithm has been shown to be efficient for anomaly detection problems. This letter presents an improved negative selection algorithm by integrating a novel further training strategy into the train...
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Negative selection algorithm has been shown to be efficient for anomaly detection problems. This letter presents an improved negative selection algorithm by integrating a novel further training strategy into the training stage. The main process of further training is generating self-detectors to cover the self-region. A primary purpose of adopting further training is reducing self-samples to reduce computational cost in testing stage. It can also improve the self-region coverage. The testing stage focuses on the processing of testing samples lied within the holes. The experimental comparison among the proposed algorithm, the self-detector classification, and the V-detector on seven artificial and real-world data sets shows that the proposed algorithm can get the highest detection rate and the lowest false alarm rate in most cases. (C) 2012 Elsevier B.V. All rights reserved.
This paper proposes a statistical mechanism to analyze the detector coverage in a negative selection algorithm, namely a quantitative measurement of a detector set's capability to detect nonself data. This novel m...
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ISBN:
(纸本)1595930108
This paper proposes a statistical mechanism to analyze the detector coverage in a negative selection algorithm, namely a quantitative measurement of a detector set's capability to detect nonself data. This novel method has the advantage of statistical confidence in the estimation of the actual coverage. Furthermore, unlike the existing analysis works of negative selection, it doesn't depend on specific detector representation and generation algorithm. Not only can it be implemented as a procedure independent from the steps to generate detectors, the experiments in this paper showed that it can also be tightly integrated into the detector generation algorithm to control the number of detectors.
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