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International Conference on Mechanical, Control and Computer engineering (ICMCCE)

作者： Qiang Qu Hongtao Yu ruiyang Huang National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

The following topics are dealt with: feature extraction; control system synthesis; learning (artificial intelligence); production engineering computing; three-term control; design engineering; optimisation; pattern cl... 详细信息

关键词： Handheld computers Security Event detection Process control

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Hardware Acceleration resource Allocation Mechanism for VNF

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Procedia Computer Science 2018年 131卷 746-755页

作者： Hongwei Fan Yuxiang Hu Shaojun Zhang Quan ren National Digital Switching System Engineering & Technological R&D Center Kim Street No. 7 Zhengzhou 450000 China

Improving the performance for VNF (Virtualized Network Function) by hardware acceleration is a hot research topic in SdN/NFV architecture. After introducing the acceleration resource for VNF, how to implement uniform deployment and allocation of the acceleration resources is an urgent problem to be solved. Thus in this paper, a unified deployment architecture of acceleration resource for VNF is proposed firstly. On the basis of architecture, the problem of acceleration resource allocation is modeled. By analyzing the influence of acceleration resource for VNF on deployment of service chains, we propose the evaluation index of acceleration resource allocation algorithm for VNF. Finally, we design a two-stage acceleration resource allocation algorithm to solve the problem. The experimental results show that the proposed algorithm can rationally allocate acceleration resources to nodes in the entire network and improve the efficiency of acceleration resource utilization.

关键词： SdN/NFV Virtualized Network Function Hardware Acceleration resource Allocation

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Sequenced Switch migration for balancing controller loads in large-scale software-defined networking

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International Journal of Performability engineering 2018年第8期14卷 1848-1856页

作者： Yao, Lan Hu, Tao Lan, Julong National Digital Switching System Engineering R and D Center Zhengzhou450002 China

The proposal of the multi-controller has improved the scalability and reliability of software-defined networking (SdN), and the entire network is divided into several subdomains with the self-governed controller. due to the dynamic changes of network traffic in different subdomains, a new challenge has emerged for balancing loads on the distributed controllers. Switch migration, a promising method, is designed to solve the unbalanced distribution of controller loads. However, existing schemes implement switch migration without considering migration sequences and are characterized by long migration time and poor controller processing efficiency. To solve the above problems, this paper proposes the Sequenced Switch Migration (SSM) approach, which considers migration parameters (e.g., delay, traffic, residual capacity, and failure probability) for multi-objective optimization and achieves efficient switch migration using a sequenced manner. By executing the parallel and heuristic algorithms, SSM can reduce the execution time of migration while ensuring the performance requirements of controllers. The simulation results show that compared with the existing schemes, SSM reduces the total migration time by about 32.7% and decreases controller load variance by 28.5% when controllers are under high load condition. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： Multiobjective optimization

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Pathological grading of Hepatocellular Carcinomas in MrI using a LASSO algorithm 1

Pathological grading of Hepatocellular Carcinomas in MRI usi...

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1st International Conference on Physics, Mathematics and Statistics, ICPMS 2018

作者： Gao, Fei Yan, Bin Chen, Jian Wu, Minghui Shi, dapeng National Digital Switching System Engineering and Technological R and D Center Henan Province ZhengZhou China Department of Radiology Henan General Hospital Henan Province ZhengZhou China

To investigate the predictive ability of radiomics signature for preoperative pathological grading of Hepatocellular Carcinomas (HCC), the no contrast MrI images were integrated and a comprehensive analysis was conducted to predict clinical outcomes using the radiomics features. Variable selection via LASSO and logistic regression were used to select the most-predictive radiomics features for the pathological grading. Cross-Validation with receiver operating characteristic (rOC) analysis was performed and the area under the rOC curve (AUC) was employed as the prediction metric. Overall, the prediction performances by radiomics features showed statistically significant correlations with pathological grading, however, improvement on the prediction performance by combining T1WI and T2WI data, classification performance obtained the AUC 0.829 in training dataset and the AUC 0.742 in validation dataset. This study consisted of 170 consecutive patients (training dataset: n=125;validation dataset, n=45). The results showed radiomics signature was developed and validated to be a significant predictor for discrimination HCC pathological grading, which may serve as a complementary tool for the preoperative tumour grading in HCC. © Published under licence by IOP Publishing Ltd.

关键词： Grading

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An Equivalent Scheduling Strategy for Cyberspace Mimicry defense Based on Security Priority

An Equivalent Scheduling Strategy for Cyberspace Mimicry Def...

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International Conference on Advanced Mechatronic systems (ICAMechS)

作者： Ke Song SHuai Wei WenJian Zhang LiBo Tan NDSC National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

With the continuous development and popularization of network equipment and services, people's dependence on cyberspace is becoming stronger and stronger, and the importance of network security is becoming more and more prominent. Mimic defense is based on the system architecture of dynamic heterogeneous redundancy. data is sent to multiple heterogeneous functional equivalents through the input agents, and then the response of heterogeneous functional equivalents is judged according to a certain arbitration policy by the output agent. The abnormal output of a functional equivalent can be effectively eliminated, enabling the system to achieve intrusion prevention against unknown system vulnerabilities or backdoors. This paper analyzes the effect of the isomorphism of functional equivalents on system security, and proposes a mimic method based on the equivalence of mimicry maximization. Experiments have shown that the effectiveness of security defense can be significantly improved.

关键词： Security Computer architecture Cyberspace redundancy Software dynamic scheduling Optimal scheduling

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N-fold Superposition: Improving Neural Networks by reducing the Noise in Feature Maps

arXiv

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arXiv 2018年

作者： Liu, Yang Qu, Qiang Gao, Chao National Digital Switching System Engineering & Technological R&D Center Zhengzhou450002 China

Considering the use of Fully Connected (FC) layer limits the performance of Convolutional Neural Networks (CNNs), this paper develops a method to improve the coupling between the convolution layer and the FC layer by reducing the noise in Feature Maps (FMs). Our approach is divided into three steps. Firstly, we separate all the FMs into n blocks equally. Then, the weighted summation of FMs at the same position in all blocks constitutes a new block of FMs. Finally, we replicate this new block into n copies and concatenate them as the input to the FC layer. This sharing of FMs could reduce the noise in them apparently and avert the impact by a particular FM on the specific part weight of hidden layers, hence preventing the network from overfitting to some extent. Using the Fermat Lemma, we prove that this method could make the global minima value range of the loss function wider, by which makes it easier for neural networks to converge and accelerates the convergence process. This method does not significantly increase the amounts of network parameters (only a few more coefficients added), and the experiments demonstrate that this method could increase the convergence speed and improve the classification performance of neural networks. Copyright © 2018, The Authors. All rights reserved.

关键词： Image classification

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Knowledge distillation for Machine Translation

Knowledge Distillation for Machine Translation

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2018 2nd International Conference on Computer Science and Intelligent Communication(CSIC 2018)

作者： Zhen Li dan Qu Chaojie Xie Xuejuan Wei National Digital Switching System Engineering & Technological R&D Center P.R.China

Encoder-to-decoder is a newly architecture for Neural Machine Translation(NMT). Convolutional Neural Network(CNN) based on this framework has gained significant success in NMT task. Challenges remain in the practical use of CNN model, which is in need of bilingual sentence pairs for training and each bilingual data is designed for CNN translation model needing retraining. Although some successful performance has been reported, it is an important research direction to avoid model overfitting caused by the scarcity of parallel corpus. The paper introduces a simple and efficient knowledge distillation method for regularization to solve CNN training overfitting problems by transferring the knowledge of source model to adapted model on low-resource languages in NMT task. The experiment on English-Czech dataset result shows that our model solve the over fitting problem, get better generalization, and improve the performance of a low-resource languages translation task.

关键词： Neural Machine Translation (NMT) Convolutional Neural Network (CNN) knowledge distillation encoder-decoder low-resource

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A Timeout Threshold Estimation Algorithm Based on Equivalent Proportional Execution Time

A Timeout Threshold Estimation Algorithm Based on Equivalent...

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International Conference on Advanced Mechatronic systems (ICAMechS)

作者： Bo Zhao Shengzhao Ye Chong Wang Senjie Lin National Digital Switching System Engineering & Technological R&D Center NDSC Zhengzhou China

A timeout threshold estimation algorithm is proposed which apply in mimic defense systems to reduce the waiting time when timeout is happened. It is inspired by the fact that there is a linear relationship in task execution time of a set of heterogeneous executors in mimic defense systems. Experiment results show that our algorithm can generate a specific timeout threshold for each task with high computational efficiency and is particularly suitable for the scene in which the number of arriving tasks changes drastically.

关键词： Task analysis Mathematical model Estimation Field programmable gate arrays Prediction algorithms data processing Servers

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A dynamic Shortest Path deployment of Virtual Network Function

A Dynamic Shortest Path Deployment of Virtual Network Functi...

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2nd International Conference on Mechanical, Electronic, Control and Automation engineering (MECAE 2018)

作者： Xiaolei Wang Shiqing Sun Hongbo Tang National Digital Switching System Engineering & Technological R &D Center

In the 5 G mobile communication network virtualization scenario, how to deploy service function chaining of the core network efficiently is the key problem to realize the efficient deployment of virtual Evolved Packet Core network services. In order to solve the problem that the existing deployment methods are difficult to meet the requirement of the mobile communication with low latency, this paper proposed a method for service function chaining deployment based on Q-learning. This method solved the problem by applying establish a Markov decision process model to the latency optimization in the context of VNF deployment, and then design a Q-learning algorithm to found the deployment solutions with minimum delay cost of network services. Simulation results show that the proposed method achieves better performances in terms of average processing time, request acceptance rate, gain and execution time.

关键词： 5G network function virtualization v EPC service function chaining Q-learning

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A New Privacy Protection Security Scheme for Blockchain

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Journal of Physics: Conference Series 2019年第2期1237卷 022025-022025页

作者： Kang, Qiao You, Wei Tang, Hongbo National Digital Switching System Engineering & Technology R&D Center ZhengZhou 450001 China

The strong security and strong privacy protection features of the blockchain are important aspects of the development of the blockchain, but the security and privacy protection features of the blockchain are not perfect. With the continuous development and wide application of blockchain technology, the problem of privacy leakage is becoming more and more prominent and must be fully taken seriously. This paper proposes a new blockchain signature scheme based on the combination of aggregate signature and ring signature for the privacy protection of transaction addresses in blockchain. This scheme uses a ring signature as the basis for the signature algorithm. On the basis of this, it combines the aggregate signature, which hides the address information of the signer on the one hand and fixes the signature length on the other hand. This enhances the privacy protection capability of the transaction address in the blockchain, and also effectively reduces the signature space of the blockchain system, and solves the problem of capacity expansion to some extent.

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