In this paper,we propose a intrusion detection algorithm based on auto-encoder and three-way decisions(AE-3WD)for industrial control networks,aiming at the security problem of industrial control network.The ideology o...In this paper,we propose a intrusion detection algorithm based on auto-encoder and three-way decisions(AE-3WD)for industrial control networks,aiming at the security problem of industrial control network.The ideology of deep learning is similar to the idea of intrusion detection.Deep learning is a kind of intelligent algorithm and has the ability of automatically learning.It uses self-learning to enhance the experience and dynamic classification capabilities.We use deep learning to improve the intrusion detection rate and reduce the false alarm rate through learning,a denoising AutoEncoder and three-way decisions intrusion detection method AE-3WD is proposed to improve intrusion detection accuracy.In the processing,deep learning AutoEncoder is used to extract the features of high-dimensional data by combining the coefficient penalty and reconstruction loss function of the encode layer during the training mode.A multi-feature space can be constructed by multiple feature extractions from AutoEncoder,and then a decision for intrusion behavior or normal behavior is made by three-way decisions.NSL-KDD data sets are used to the experiments.The experiment results prove that our proposed method can extract meaningful features and effectively improve the performance of intrusion detection.展开更多
OBJECTIVE: To observe the clinical effect of Gushenyutai plaster administered at the Guanyuan(CV4) acupoint on male infertility associated with semen non-liquefaction.METHODS: Sixty-two male patients with infertility ...OBJECTIVE: To observe the clinical effect of Gushenyutai plaster administered at the Guanyuan(CV4) acupoint on male infertility associated with semen non-liquefaction.METHODS: Sixty-two male patients with infertility caused by semen non-liquefaction were random-ized into a treatment and control group. The control group received comprehensive therapy, which included oral administration of clarithromycin sustained release tablets, hip bath with Zhongyaoxiaoyan granules, prostate massage, and transurethral microwave treatment. The treatment group was administered Gushenyutai plaster in addition to the comprehensive therapy. Both groups were treated for 8 weeks. After treatment, the clinical effect and pregnancy rate were assessed and compared between the two groups.RESULTS: The effective rate of the treatment group was significantly higher than that of the control group(96.77% vs 70.97%, P<0.05) and the pregnancy rates of the treatment group and control groups were 38.71% and 16.13%, respectively(P<0.05).CONCLUSION: The effect of Gushenyutai plaster plus comprehensive therapy was better than that of the comprehensive therapy alone on male infertility induced by semen non-liquefaction.展开更多
基金supported by National Nature Science Foundation of China (Grant No.61471182)Postgraduate Research&Practice Innovation Program of Jiangsu Province (Grant No.KYCX20_2993)Jiangsu postgraduate research innovation project (SJCX18_0784)。
文摘In this paper,we propose a intrusion detection algorithm based on auto-encoder and three-way decisions(AE-3WD)for industrial control networks,aiming at the security problem of industrial control network.The ideology of deep learning is similar to the idea of intrusion detection.Deep learning is a kind of intelligent algorithm and has the ability of automatically learning.It uses self-learning to enhance the experience and dynamic classification capabilities.We use deep learning to improve the intrusion detection rate and reduce the false alarm rate through learning,a denoising AutoEncoder and three-way decisions intrusion detection method AE-3WD is proposed to improve intrusion detection accuracy.In the processing,deep learning AutoEncoder is used to extract the features of high-dimensional data by combining the coefficient penalty and reconstruction loss function of the encode layer during the training mode.A multi-feature space can be constructed by multiple feature extractions from AutoEncoder,and then a decision for intrusion behavior or normal behavior is made by three-way decisions.NSL-KDD data sets are used to the experiments.The experiment results prove that our proposed method can extract meaningful features and effectively improve the performance of intrusion detection.
基金the Science and Technology Planning for social development Project of Guangdong Province[Guangdong S&T Planning(2011)No.71]the Construction of Chinese Medicine Strong Province Project supported by Administration of Traditional Chinese Medicine of Guangdong Province[Guangdong TCM(2012)No.23]The Social Development Project of Shantou[Shantou Finance(2010)No.480]
文摘OBJECTIVE: To observe the clinical effect of Gushenyutai plaster administered at the Guanyuan(CV4) acupoint on male infertility associated with semen non-liquefaction.METHODS: Sixty-two male patients with infertility caused by semen non-liquefaction were random-ized into a treatment and control group. The control group received comprehensive therapy, which included oral administration of clarithromycin sustained release tablets, hip bath with Zhongyaoxiaoyan granules, prostate massage, and transurethral microwave treatment. The treatment group was administered Gushenyutai plaster in addition to the comprehensive therapy. Both groups were treated for 8 weeks. After treatment, the clinical effect and pregnancy rate were assessed and compared between the two groups.RESULTS: The effective rate of the treatment group was significantly higher than that of the control group(96.77% vs 70.97%, P<0.05) and the pregnancy rates of the treatment group and control groups were 38.71% and 16.13%, respectively(P<0.05).CONCLUSION: The effect of Gushenyutai plaster plus comprehensive therapy was better than that of the comprehensive therapy alone on male infertility induced by semen non-liquefaction.