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IEEE International Conference on Cloud Computing and Big data Analysis (ICCCBdA)

作者： Hui Li Fucai Chen Jianpeng Zhang National Digital Switching System Engineering & Technological R & D Center Information Engineering University Zhengzhou China

Many networks in the real world are dynamically changing over time, and the community structure also changes accordingly. The community detection in the dynamic and constantly evolving network has received great attention from researchers. In order to uncover the community structure in the dynamic network, this paper proposes an incremental dynamic community detection algorithm based on node participation (NPICd). It defines the node participation to the community and the community fitness. In response to the changes of nodes and edges in the network, different update strategies are proposed to discover the community at different moments in an incremental manner. The experimental results on the real network show that compared with several widely used methods, our algorithm can quickly and accurately mine the community structure in the dynamic network.

关键词： Cloud computing Atmospheric measurements Heuristic algorithms Image edge detection Conferences Clustering algorithms Big data

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CLMSI: A Novel Image-Text Named Entity recognition Method Based on Contrast Learning and Multimodal Semantic Interaction

CLMSI: A Novel Image-Text Named Entity Recognition Method Ba...

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International Conference on Behavior, Economic and Social Computing (BESC)

作者： Jiangtao Ma Wenduo Jin Yonggang Chen Fan Zhang Shenyi Qian Yaqiong Qiao College of Computer and Information Engineering Tianjin Normal University Tianjin China School of Computer Science and Technology Zhengzhou University of Light Industry Zhengzhou China The State Information Center China National Digital Switching System Engineering and Technology R&D Center Zhengzhou China College of Cyber Science Nankai University Tianjin China

ISBN: (数字)9798331531904

ISBN: (纸本)9798331531911

Most existing multimodal named entity recognition (MNEr) methods cannot align image and text well, and fail to effectively fuse image-text semantic information, leading to suboptimal MNEr accuracy. To this end, this paper proposes a novel named entity recognition model based on Contrastive Learning and Multimodal Semantic Interaction (named CLMSI). Specifically, to narrow the semantic gap between image-text modalities, making semantically similar image-text representations closer and pushing dissimilar ones further apart, we propose a contrastive learning-based cross-modal alignment method. Moreover, to integrate multimodal information effectively and filter out the noise introduced by image features as thoroughly as possible, we propose to incorporate image descriptions as additional features to enrich the multimodal representation and to reduce the semantic bias of the image information. Extensive experiments conducted on two MNEr benchmark datasets, Twitter-2015 and Twitter-2017, demonstrate the superiority of the proposed method. Further ablation studies and case analyses also affirm the efficacy of CLMSI.

关键词： Visualization Social computing Accuracy Social networking (online) Computational modeling Semantics Noise Named entity recognition Feature extraction data mining

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数字主权与国家安全若干问题研究

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Contemporary International relations 2023年第5期33卷 28-48页

作者：邬江兴邹宏张帆尚玉婷 the China National Academy of Engineering the China National Digital Switching System Engineering and Technological R&D Center Institute of Big Data Fudan University Data Arena Institute Fudan University the Institute of Data ArenaFudan University

With the rapid advancement of information technology, the digital space has become humanity's “third living space.” However,this new space has also created security risks, exhibiting novel national security and development-related characteristics. In such a context,digital sovereignty encompasses dominance over digital technologies,rule-making authority in the digital realm, a voice in the digital space,and the right to develop the digital economy. Many countries and regions worldwide, such as the United States, the European Union, and China,have placed extreme importance on digital sovereignty, as evidenced by their adoption of relevant strategies. China faces four barriers that hinder its efforts to enhance digital sovereignty: path dependence,technology maturity, generalized functional security, and energy consumption. China urgently needs to promote information technology innovation at the paradigm level, facilitate much-needed breakthroughs in ground-breaking technologies, and build an independent knowledge system with Chinese characteristics regarding the digital space. Only in this manner can China forge a new path of digitalization to consolidate its digital sovereignty and advance its modernization.

关键词： Chinese modernization digital sovereignty independent innovation national security

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A Multi-Variant Voting Algorithm Based on dynamic Feedback

A Multi-Variant Voting Algorithm Based on Dynamic Feedback

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Computer Communication and Network Security (CCNS), International Conference on

作者： Shao Yuwen Zhang Zheng Li Bingzheng Ji Xinsheng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China R&D Center National Digital Switching System Engineering & Technological Zhengzhou China

Multi-variant execution framework can protect software security. For the problem of performance loss caused by too many voting times in the existing multi-variant execution framework, this paper proposes a multi-variant voting algorithm based on dynamic feedback, which can make the multi-variant continuously improve its corresponding voting strategy at runtime. Using this algorithm, the multi-variant can get a stable voting range, reduce the number of voting, and effectively improve the performance of multi-variant.

关键词： runtime Heuristic algorithms Software algorithms Network security Software Computer security

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Negative Feedback dynamic Scheduling Algorithm based on Mimic defense in Cloud Environment 6

Negative Feedback Dynamic Scheduling Algorithm based on Mimi...

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6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Zhou, Mengli Chen, Fucai Liu, Wenyan Liang, Hao Zhongyuan Network Security Research Institute Zhengzhou University Zhengzhou China National Digital Switching System Engineering Technological R D Center Zhengzhou China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186351

The virtualization technology in cloud environment brings some data and privacy security issues to users. Aiming at the problems of virtual machines singleness, homogeneity and static state in cloud environment, a negative feedback dynamic scheduling algorithm is proposed. This algorithm is based on mimic defense and creates multiple virtual machines to complete user request services together through negative feedback control mechanism which can achieve real-time monitor of the running state of virtual machines. When virtual machines state is found to be inconsistent, this algorithm will dynamically change its execution environment, resulting in the attacker's information collection and vulnerability exploitation process being disrupting. Experiments show that the algorithm can better solve security threats caused by the singleness, homogeneity and static state of virtual machines in the cloud, and improve security and reliability of cloud users. © 2020 IEEE.

关键词： Feedback control

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Improvement of Face detection Algorithm Based on Lightweight Convolutional Neural Network 6

Improvement of Face Detection Algorithm Based on Lightweight...

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6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Zhu, Lingling Chen, Fucai Gao, Chao Zhongyuan Network Security Research Institute Zhengzhou University Zhengzhou China National Digital Switching System Engineering Technological R D Center Zhengzhou China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186351

In recent years, the application of visual processing algorithm based on deep network on mobile terminal has become a popular research problem. In this paper, a new face loss function is designed to solve the problems of limited computing power and storage resource of mobile devices when face detection is applied to mobile terminal. The face detection algorithm based on SSH (single stage headless face detector) is improved in two aspects: firstly, the feature of sample data is extracted by using the lightweight convolutional neural network based on MobileNet, which can effectively reduce the amount of parameters and calculation of the model;Secondly, the deformable convolution layer is introduced into the detection module of SSH network to improve the modeling ability of face deformation. At the same time, the method of knowledge distillation is introduced. The high-precision large network model is used as the teacher network, and the small network model of the improved SSH algorithm is used as the student network to further improve performance of the detection model. Experimental results on the wider face dataset show that the proposed method can significantly reduce the complexity of the model, effectively reduce the size of the face detection model and improve the speed of model detection, while ensuring the detection accuracy. Therefore, the proposed method is expected to be better applied to face detection equipment in mobile terminals. © 2020 IEEE.

关键词： Convolution

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Minimally buffered router and deflection routing algorithm for 3d mesh NoC

Minimally buffered router and deflection routing algorithm f...

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International Conference on Intelligent Computing, Communication and devices, ICCd 2017

作者： Sun, Meidong Liu, Qinrang Yan, Binghao Wang, Xiaolong National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

ISBN: (纸本)9789811089435

The 3d NoC, which blends 3d IC with NoC, overcomes the performance bottleneck of 2d NoC. However, the conventional buffered routers in 3d NoC have the problem of consuming a large amount of resources. In this paper, we propose 3d minimally buffered router using priority deflection (3d MinBPd). This router is the 3d extension of MinBWd and introduces TSV Buffers at the same time. Then, a priority-based deflection routing algorithm is proposed, which only needs local information to compute the priority of flit. The experimental results show that the performance of the 3d MinBPd is better than the reference objects’ under the network of 8 × 8 × 4, which is similar to the traditional buffered routers’ in the low and medium packet injection rate. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Network-on-chip

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Modified PFNF fault-tolerant routing algorithm for WUdN structure

Modified PFNF fault-tolerant routing algorithm for WUDN stru...

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International Conference on Intelligent Computing, Communication and devices, ICCd 2017

作者： Xiaochao, Yin Guodong, Han Zeyu, Gu China National Digital Switching System Engineering & Technological R&D Center Zhenzhou China

ISBN: (纸本)9789811089435

We propose a modified PFNF routing algorithm based on the structure of WUdN, which is an adaptive routing algorithm. The algorithm has the characteristics of simple operation, low complexity, and fast response, and we prove that the algorithm is deadlocks free. The algorithm is simulated in a 16 × 16 network through the discrete time simulator NS-3. Compared with f-cube fault-tolerant routing algorithms, the results show that the modified PFNF algorithm can improve the throughput by 8% and reduce the average delay by 10% under saturated traffic. © Springer Nature Singapore Pte Ltd. 2019.

关键词： routing algorithms

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Thoughts on the development of novel network technology

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Science China(Information Sciences) 2018年第10期61卷 144-154页

作者： Jiangxing WU National Digital Switching System Engineering and Technological R&D Center

In this paper, we explore potential innovations that could lead to breakthrough developments in Internet technologies. The deep integration of the Internet and economic society brings professionalized service capacity demand, while existing Internet infrastructure with its current technological systems still face a number of challenges, such as intelligence, diversification, personalization, robustness, and ***, we analyze the actual foundation of innovation and specify the basic technical features of a novel network. Then, we propose a fully dimensionally definable open architecture as the primary direction, and consider reshaping baseline technologies as a starting point and discuss the core operational mechanisms of the novel network based on such reshaped baseline technologies.

关键词： novel Internet technology open architecture full-dimensional definability diversified addressing and routing intelligence general robust control

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A Streaming-based Algorithm for Overlapping Community detection

A Streaming-based Algorithm for Overlapping Community Detect...

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International Conference on Computer and Communications (ICCC)

作者： Hui Li Fucai Chen Jianpeng Zhang National Digital Switching System Engineering & Technological R&D Center Information Engineering University Zhengzhou China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

Mining the overlapping community structure is a very important task in complex network analysis. With the development of social network and Internet of things, the scale of data is becoming larger and larger. Many existing algorithms can not deal with such a large-scale network. In order to improve the efficiency of community detection in large-scale networks, an overlapping community detection algorithm based on graph streaming is proposed. The algorithm processes the edges in the network in a streaming mode, processes only one edge at a time and each edge is processed only once and then discarded. The algorithm divides the nodes according to the degree of node, the contribution of node to the community, and the number of connected edges between communities before and after the node's moving. Experimental results on real-life networks show that our proposed approach can quickly discover overlapping community structures in large-scale networks with linear computational complexity.

关键词： Social networking (online) Image edge detection Internet of Things data mining detection algorithms Computational complexity Task analysis

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