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第30届中国过程控制会议（CPCC 2019）

作者： Zhe Zhang Jing Zhang Yingjie Zhang Can Ding FanyongCheng Feng Liu College of Electrical and Information Engineering Hunan University College of Computer Science and Electronic Engineering Hunan University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University School of Automation China University of Geosciences

This paper studies the stability of the six-dimensional Fractional gene regulatory networks(GRNs) with three variables and the bifurcation of second-order system *** paper presents the basic interaction model figure of three variables GRNs,which contains the relationship between the three ***, in order to improve the accuracy of the study, in analysis of ***, a numerical simulation example is provided to verify the effectiveness and the advantage of the proposed stability and bifurcation criterion.

关键词： Fractional-order system Gene regulatory network system Bifurcation analysis Stability analysis

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CuckooFlow: Achieving Fast Packet Classification for Virtual OpenFlow Switching by Exploiting Network Traffic Locality

CuckooFlow: Achieving Fast Packet Classification for Virtual...

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IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Bing Xiong Zhixiong Hu Yao Luo Jin Wang School of Computer & Communication Engineering Changsha University of Science & Technology Changsha China Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science & Technology Changsha China

ISBN: (数字)9781728143286

ISBN: (纸本)9781728143293

The growing trend of network virtualization leads to a widespread deployment of virtual switches in virtualized environments. However, virtual switching is confronted with great performance challenges regarding packet classification especially in OpenFlow-based software defined networks. This paper takes an insight into network traffic locality from the perspective of exact flows and wildcard flows, and propose a fast packet classification scheme CuckooFlow. In particular, we devise an active exact flow cache with cuckoo hashing to predict the respective flow entry for each arrived packet. Subsequently, we formulate its cache hit rate based on packet-in-batch arrivals, and average search length of the packet classification scheme. Finally, our proposed CuckooFlow scheme is evaluated with real network traffic traces by experiments. The experimental results indicate that our proposed scheme outperforms traditional ones Open vSwitch and CuckooDistributor in terms of cache hit rates and average search length, and contributes to promote virtual OpenFlow switching performance.

关键词： Telecommunication traffic Switches Acceleration Classification algorithms Cloud computing Virtualization Decision trees

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An overview on visualization of ontology alignment and ontology entity 5th

An overview on visualization of ontology alignment and ontol...

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5th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2018

作者： Chen, Jie Xue, Xingsi Huang, Lili Ren, Aihong College of Information Science and Engineering Fujian University of Technology FuzhouFujian350118 China Intelligent Information Processing Research Center Fujian University of Technology FuzhouFujian350118 China Fujian Provincial Key Laboratory of Big Data Mining and Applications FuzhouFujian350118 China Fujian Key Lab for Automotive Electronics and Electric Drive Fujian University of Technology FuzhouFujian350118 China College of Humanities and Law Fujian Agriculture and Forestry University FuzhouFujian350002 China School of Mathematics and Information Science Baoji University of Arts and Sciences BaojiShaanxi721013 China

ISBN: (纸本)9783030037659

Visualization of ontology alignment and ontology entity is becoming a method to help Solve the problem of semantic heterogeneity. This paper first introduces the basic concepts of ontology and ontology matching, and then illustrates the importance of ontology visualization technique. The existing partial visualization tools are discussed respectively in two aspects of visualization of ontology alignment and visualization entity on ontology. Finally, four researching directions on ontology visualization technique are pointed out for the future work. © Springer Nature Switzerland AG 2019.

关键词： Ontology

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Software Defect Distribution Prediction Model Based on NPE-SVM

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China Communications 2018年第5期15卷 173-182页

作者： Hua Wei Chun Shan Changzhen Hu Huizhong Sun Min Lei School of Computer Science and Technology Beijing Institute of TechnologyBeijing 100081China China Information Technology Security Evaluation Center Beijing 100085China Beijing Key Laboratory of Software Security Engineering Technology School of SoftwareBeijing Institute of TechnologyBeijing 100081China Information Security Center Beijing University of Posts and TelecommunicationsBeijing 100876China Guizhou University Guizhou Provincial Key Laboratory of Public Big DataGuizhou Guiyang 550025China

During the prediction of software defect distribution, the data redundancy caused by the multi-dimensional measurement will lead to the decrease of prediction accuracy. In order to solve this problem, this paper proposed a novel software defect prediction model based on neighborhood preserving embedded support vector machine(NPESVM) algorithm. The model uses SVM as the basic classifier of software defect distribution prediction model, and the NPE algorithm is combined to keep the local geometric structure of the data unchanged in the process of dimensionality reduction. The problem of precision reduction of SVM caused by data loss after attribute reduction is avoided. Compared with single SVM and LLE-SVM prediction algorithm, the prediction model in this paper improves the F-measure in aspect of software defect distribution prediction by 3%~4%.

关键词： data redundancy SVM NPE algorithm dimensionality reduction

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Research on Education Resource Recommendation Algorithm Based on Implicit Feedback and Pairwise

Research on Education Resource Recommendation Algorithm Base...

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IEEE International Symposium on information (IT) in Medicine and Education, ITME

作者： Xiaoxiang Huang Yongsheng Zhang Zhihua Zheng Jie Zhang Jiaxi Duan School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China

In view of the problem of how to improve the accuracy of education resources recommendation in Internet era, a recommendation algorithm based on implicit feedback and pairwise education resources are proposed. Firstly, the feature extraction of learner-education resource is carried out, and the implicit features of learner-education resource are extracted by implicit semantic model, and the prediction results of factor decomposition are used as input to sorting learning algorithm. Converting sorting problems to classification problems uses the theory of ordering learning. Based on the experiment comparison with the traditional recommendation algorithm, it is compared with the comparison algorithm, which has better effect on the recommendation of educational resources. The algorithm increases by nearly 30% on metrics MAP, NDGG.

关键词： Sorting Classification algorithms Matrix decomposition Training Prediction algorithms Data models

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Research on College Teachers Teaching Ability Evaluation Model Based on DHNN

Research on College Teachers Teaching Ability Evaluation Mod...

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IEEE International Symposium on information (IT) in Medicine and Education, ITME

作者： Jie Zhang Yongsheng Zhang Yu Wei Zhihua Zheng Shaojun Fan School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China

The teaching ability of teachers is one of the core abilities of colleges. Its level has gradually become an important indicator for evaluating a school. However, the existing evaluation models of college teachers are timeconsuming, empirical, complex, subjective and speculative. Therefore, based on the teaching features of colleges in China, this paper constructs a fast and effective college teacher evaluation model by discrete Hopfield neural network technology, and introduces the basic ideas and steps of the model.

关键词： Conferences information technology Education

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Practical security of continuous-variable quantum key distribution with reduced optical attenuation

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Physical Review A 2019年第1期100卷 012313-012313页

作者： Yi Zheng Peng Huang Anqi Huang Jinye Peng Guihua Zeng College of Information Science and Technology Northwest University Xi'an 710127 Shaanxi China State Key Laboratory of Advanced Optical Communication Systems and Networks and Center of Quantum Information Sensing and Processing Shanghai Jiao Tong University Shanghai 200240 China Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha 410073 China Greatwall Quantum Laboratory China Greatwall Technology Changsha 410205 China

In a practical continuous-variable quantum key distribution (CVQKD) system, the optical attenuator can adjust the Gaussian-modulated coherent states and the local oscillator signal to an optimal value for guaranteeing the security of the system and optimizing the performance of the system. However, the performance of the optical attenuator may deteriorate due to the intentional and unintentional damage of the device. In this paper, we investigate the practical security of a CVQKD system with reduced optical attenuation. We find that the secret key rate of the system may be overestimated based on the investigation of parameter estimation under the effects of reduced optical attenuation. This opens a security loophole for Eve to successfully perform an intercept-resend attack in a practical CVQKD system. To close this loophole, we add an optical fuse at Alice's output port and design a scheme to monitor the level of optical attenuation in real time, which can make the secret key rate of the system evaluated precisely. The analysis shows that these countermeasures can effectively resist this potential attack.

关键词： Quantum communication Quantum cryptography Quantum information processing with continuous variables

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Group Based Strategy to Accelerate Rendezvous in Cognitive Radio Networks

Group Based Strategy to Accelerate Rendezvous in Cognitive R...

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International Conference on computer Communications and Networks (ICCCN)

作者： Yi Ji Juncheng Jia Jin Wang Jingya Zhou Shukui Zhang Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

In cognitive radio networks (CRNs), secondary users need to first discover neighbours and form communication links, referred to as the rendezvous process. Rendezvous between any two secondary users can only be achieved on the same channel. However, the nature of the CRN makes this a challenging problem. Specifically in CRN, not only the network is multi- channel, but the channels available at different nodes may be different. While most of the existing works study pair-wise rendezvous and design channel hopping sequence, in this paper, we focus on the performance improvement of the rendezvous process based on the existing channel hopping sequences with multiple users in CRN. We propose a new strategy, called Group Based Strategy (GBS) to achieve the acceleration, which is flexible to incorporate the existing sequence generation algorithms. Our basic idea is to group the encountered users and schedule rendezvous for them. With the purpose to increase rendezvous diversity, other users or groups can join the group if they get the group rendezvous information. Experiments are conducted to evaluate the proposed scheme. Overall, the performance can be improved by more than 50% under symmetric model or asymmetric model using our accelerating strategy.

关键词： Acceleration Cognitive radio Protocols Schedules Message passing Synchronization Performance evaluation

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Research and Implementation of Teaching System for Higher Vocational Specialty Courses Based on Hybrid Teaching Mode

Research and Implementation of Teaching System for Higher Vo...

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IEEE International Symposium on information (IT) in Medicine and Education, ITME

作者： Penglong Zhang Yongsheng Zhang Shaojun Fan Xiaoxiang Huang Jie Zhang School of Information Science and Engineering Shandong Normal University Jinan China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan China

In recent years, with the diversified development of education and training in China and the continuous "Internet +", enterprises and society have put forward higher requirements for the ability of skilled talents. However, in the vocational specialty colleges that transport a large number of skilled talents, it is increasingly difficult to meet the needs of students' learning and development. At the same time, it is difficult for students to select appropriate content for independent learning in the vast information on the Internet. Hybrid teaching is a teaching mode that combines the advantages of both traditional teaching and networked teaching. The specialty courses teaching system is based on hybrid teaching mode. It uses Java Web technology as the basis for adopting B/S development mode, MySQL database and eclipse, Navicat as Development tools. The research and implementation of the hybrid teaching system is conducive to the school to help bridging the communication between the students and the enterprise, so that students can learn more directly and provide high-skilled talents with basic professional knowledge and skilled skills. On the other hand, through practice, it also helps to promote the development of hybrid teaching reform, thus solving the complexity and particularity of the informationization process in higher vocational colleges.

关键词： information technology Education Hafnium compounds

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Corrigendum to "Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems". J. Clean. Prod. 306 (2021) 127278

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Journal of cleaner production 2021年 320卷 128836页

作者： Jiewu Leng Man Zhou Yuxuan Xiao Hu Zhang Qiang Liu Weiming Shen Qianyi Su Longzhang Li Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangdong University of Technology Guangzhou 510006 China. Department of Information Systems City University of Hong Kong 999077 Hong Kong China. State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan 430074 China.

[This corrects the article DOI: 10.1016/***.2021.127278.].

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