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KGIPSL: A knowledge graph inference method based on probabilistic soft logic

International Journal of Performability engineering 2019年第12期15卷 3209-3218页

作者： Qiao, Yaqiong Wang, Yanjun Ma, Jiangtao Luo, Xiangyang Wu, Huaiguang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China Zhengzhou University of Light Industry Zhengzhou450002 China

Knowledge graph inference has a wide range of applications in semantic search, question answering systems, entity disambiguation, link prediction, and recommendation systems. However, the accuracy and operational efficiency of existing methods do not meet the needs of large-scale knowledge graphs. Aiming at the problem of large-scale knowledge graph inference, this paper proposes a knowledge graph inference method based on probabilistic soft logic (KGIPSL). Firstly, KGIPSL uses the Markov logic network to construct the relationship between entities. Secondly, KGIPSL employs probabilistic soft logic to represent non-deterministic knowledge and infers the relationship between entities in the knowledge graph. Thirdly, KGIPSL conducts accurate knowledge inference. Experiments on real knowledge graph datasets show that the KGIPSL method is superior to the existing baseline method in accuracy, recall, and efficiency. Among them, the average accuracy of KGIPSL on the YAGO dataset is 14.9% higher than that of the baseline method. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： Efficiency

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6G Enabled advanced Transportation Systems

arXiv

引用

arXiv 2023年

作者： Liu, Ruiqi Hua, Meng Guan, Ke Wang, Xiping Zhang, Leyi Mao, Tianqi Zhang, Di Wu, Qingqing Jamalipour, Abbas The State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518055 China The Wireless and Computing Research Institute ZTE Corporation Beijing100029 China The Department of Electrical Engineering City University of Hong Kong 999077 Hong Kong The State Key Laboratory of Advanced Rail Autonomous Operation The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The Advanced Research Institute of Multidisciplinary Science Beijing Institute of Technology Beijing100081 China The School of Electrical and Information Engineering Zhengzhou University Zhengzhou450001 China The School of Electrical Engineering Korea University Seoul02841 Korea Republic of Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China School of Electrical and Information Engineering University of Sydney CamperdownNSW2006 Australia

With the emergence of communication services with stringent requirements such as autonomous driving or on-flight Internet, the sixth-generation (6G) wireless network is envisaged to become an enabling technology for future transportation systems. In this paper, two ways of interactions between 6G networks and transportation are extensively investigated. On one hand, the new usage scenarios and capabilities of 6G over existing cellular networks are firstly highlighted. Then, its potential in seamless and ubiquitous connectivity across the heterogeneous space-air-ground transportation systems is demonstrated, where railways, airplanes, high-altitude platforms and satellites are investigated. On the other hand, we reveal that the introduction of 6G guarantees a more intelligent, efficient and secure transportation system. Specifically, technical analysis on how 6G can empower future transportation is provided, based on the latest research and standardization progresses in localization, integrated sensing and communications, and security. The technical challenges and insights for a road ahead are also summarized for possible inspirations on 6G enabled advanced transportation. © 2023, CC BY-NC-ND.

关键词： Wireless networks

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Semantic segmentation of track image based on deep neural network

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The Journal of China Universities of Posts and Telecommunications 2020年第5期27卷 23-33页

作者： Wang Zhaoying Zhou Junhua Liao Zhonghua Zhai Xiang Zhang Lianping School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Complex Product Advanced Manufacturing Kngineering Research Center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China Alibaba Cloud Computing Beijing 100020China

In this paper,deep learning technology was utilited to solve the railway track recognition in intrusion detection *** railway track recognition can be viewed as semantic segmentation task which extends image processing to pixel level *** encoder-decoder architecture DeepLabv3+model was applied in this work due to its good performance in semantic segmentation *** images of the railway track collected from the video surveillance of the train cab were used as experiment dataset in this work,the following improvements were made to the *** first aspect deals with over-fitting problem due to the limited amount of training *** augmentation and transfer learning are applied consequently to rich the diversity of data and enhance model robustness during the training ***,different gradient descent methods are compared to obtain the optimal optimizer for training model *** third problem relates to data sample imbalance,cross entropy(CE)loss is replaced by focal loss(FL)to address the issue of serious imbalance between positive and negative *** of the improved DeepLabv3+model with above solutions is demonstrated by experiment results with different system parameters.

关键词： railway track recognition convolutional neural networks semantic segmentation DeepLabv3+

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Arbitrary coherent distributions in a programmable quantum walk

arXiv

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arXiv 2022年

作者： Zhang, Rong Yang, Ran Guo, Jian Sun, Chang-Wei Liu, Yi-Chen Zhou, Heng Xu, Ping Xie, Zhenda Gong, Yan-Xiao Zhu, Shi-Ning National Laboratory of Solid State Microstructure School of Physics School of Electronic Science and Engineering Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunication Nanjing210023 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computing National University of Defense Technology Changsha410073 China

The coherent superposition of position states in a quantum walk (QW) can be precisely engineered towards the desired distributions to meet the need of quantum information applications. The coherent distribution can make full use of quantum parallel in computation and simulation. Particularly, the uniform superposition provides the robust non-locality, which has wide applications such as the generation of genuine multi-bit random numbers without post-processing. We experimentally demonstrate that the rich dynamics featured with arbitrary coherent distributions can be obtained by introducing different sets of the time- and position-dependent operations. Such a QW is realized by a resource-constant and flexible optical circuit, in which the variable operation is executed based on a Sagnac interferometer in an intrinsically stable and precisely controlled way. Our results contribute to the practical realization of quantum-walk-based quantum computation, quantum simulations and quantum information protocols. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum optics

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Two-dimensional ferromagnetic superlattices

引用

National Science Review 2020年第4期7卷 745-754页

作者： Shanshan Liu Ke Yang Wenqing Liu Enze Zhang Zihan Li Xiaoqian Zhang Zhiming Liao Wen Zhang Jiabao Sun Yunkun Yang Han Gao Ce Huang Linfeng Ai Ping Kwan Johnny Wong ANDrew Thye Shen Wee Alpha T.N'Diaye Simon A.Morton Xufeng Kou Jin Zou Yongbing Xu Hua Wu Faxian Xiu State Key Laboratory of Surface Physics and Department of Physics Fudan University Institute for Nanoelectronic Devices and Quantum Computing Fudan University Laboratory for Computational Physical Sciences (MOE) Fudan University Department of Electronic Engineering Royal Holloway University of London School of Electronic Science and Engineering Nanjing University Materials Engineering The University of Queensland Department of Physics National University of Singapore Centre for Advanced 2D Materials and Graphene Research Centre National University of Singapore Lawrence Berkeley National Laboratory School of Information Science and Technology Shanghai Tech University Centre for Microscopy and Microanalysis The University of Queensland Collaborative Innovation Center of Advanced Microstructures

Mechanically exfoliated two-dimensional ferromagnetic materials(2 D FMs) possess long-range ferromagnetic order and topologically nontrivial skyrmions in few layers. However, because of the dimensionality effect, such few-layer systems usually exhibit much lower Curie temperature(TC) compared to their bulk counterparts. It is therefore of great interest to explore effective approaches to enhance their TC, particularly in wafer-scale for practical applications. Here, we report an interfacial proximity-induced high-TC2 D FM FeGe Te(FGT) via A-type antiferromagnetic material Cr Sb(CS) which strongly couples to FGT. A superlattice structure of(FGT/CS)n, where n stands for the period of FGT/CS heterostructure, has been successfully produced with sharp interfaces by molecular-beam epitaxy on 2-inch wafers. By performing elemental specific X-ray magnetic circular dichroism(XMCD) measurements, we have unequivocally discovered that TCof 4-layer FeGeTecan be significantly enhanced from 140 K to230 K because of the interfacial ferromagnetic coupling. Meanwhile, an inverse proximity effect occurs in the FGT/CS interface, driving the interfacial antiferromagnetic Cr Sb into a ferrimagnetic state as evidenced by double-switching behavior in hysteresis loops and the XMCD spectra. Density functional theory calculations show that the Fe-Te/Cr-Sb interface is strongly FM coupled and doping of the spin-polarized electrons by the interfacial Cr layer gives rise to the TCenhancement of the FeGeTefilms, in accordance with our XMCD measurements. Strikingly, by introducing rich Fe in a 4-layer FGT/CS superlattice, TCcan be further enhanced to near room temperature. Our results provide a feasible approach for enhancing the magnetic order of few-layer 2 D FMs in wafer-scale and render opportunities for realizing realistic ultra-thin spintronic devices.

关键词： 2D ferromagnetic material room temperature 2-inch Fe3GeTe2 film wafers proximity effect (Fe3GeTe2/CrSb)nsuperlattice

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Maximal coin-walker entanglement in a ballistic quantum walk

arXiv

引用

arXiv 2022年

作者： Zhang, Rong Yang, Ran Guo, Jian Sun, Chang-Wei Duan, Jia-Chen Zhou, Heng Xie, Zhenda Xu, Ping Gong, Yan-Xiao Zhu, Shi-Ning National Laboratory of Solid State Microstructure School of Physics School of Electronic Science and Engineering Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunication Nanjing210023 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computing National University of Defense Technology Changsha410073 China

We report the position-inhomogeneous quantum walk (IQW) can be utilized to produce the maximal high dimensional entanglement while maintaining the quadratic speedup spread of the wave-function. Our calculations show that the maximal coin-walker entanglement can be generated in any odd steps or asymptotically in even steps, and the nearly maximal entanglement can be obtained in even steps after 2. We implement the IQW by a stable resource-saving time-bin optical network, in which a polarization Sagnac loop is employed to realize the precisely tunable phase shift. Our approach opens up an efficient way for high-dimensional entanglement engineering as well as promotes investigations on the role of coin-walker interactions in QW based applications. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum entanglement

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The Executors Scheduling Algorithm for the Web Server Based on the Attack Surface

The Executors Scheduling Algorithm for the Web Server Based ...

引用

Advances in Electrical engineering and Computer Applications( AEECA), 2020 IEEE International Conference on

作者： Guanglai Nie Zheng Zhang Yufeng Zhao State key Laboratory of Mathematical Engineering and Advanced Computing MEAC Zhengzhou China

ISBN: (数字)9781728165219

ISBN: (纸本)9781728165226

In the existing scheduling algorithms of mimicry structure, the random algorithm cannot solve the problem of large vulnerability window in the process of random scheduling. Based on known vulnerabilities, the algorithm with diversity and complexity as scheduling indicators can not only fail to meet the characteristic requirements of mimic's endogenous security for defense, but also cannot analyze the unknown vulnerabilities and measure the continuous differences in time of mimic Executive Entity. In this paper, from the Angle of attack surface is put forward based on mimicry attack the mimic Executive Entity scheduling algorithm, its resources to measure analysis method and mimic security has intrinsic consistency, avoids the random algorithm to vulnerability and modeling using known vulnerabilities targeted, on time at the same time can ensure the diversity of the Executive body, to mimic the attack surface web server scheduling system in continuous time is less, and able to form a continuous differences. Experiments show that the minimum symbiotic resource scheduling algorithm based on time continuity is more secure than the random scheduling algorithm.

关键词： Web servers Symbiosis Security Scheduling algorithms Cyberspace Redundancy Heuristic algorithms

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Twitter user geolocation based on heterogeneous network and label propagation 8

Twitter user geolocation based on heterogeneous network and ...

引用

8th International Conference on computing and Pattern Recognition, ICCPR 2019

作者： Tian, Hechan Qiao, Yaqiong Liu, Yimin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan*** China

ISBN: (纸本)9781450376570

Twitter user geolocation is applied into various applications, such as local messages recommendation and event location recognition. Existing methods do not usually utilize the potential positional correlation between heterogeneous information, resulting in low user geolocation accuracy. Therefore, this paper proposes a user geolocation method based on heterogeneous network and label propagation. First, a heterogeneous network is built based on heterogeneous information mined from user tweets. Then, by analyzing the factors that impact the efficiency and accuracy of label propagation, redundant nodes and edges in the initialized heterogeneous network are removed. Finally, the locations of unlabeled users are geolocated through label propagation in the simplified heterogeneous network. Experiments on the publicly available Twitter benchmark dataset show that proposed method accurately locate 57% of users within 161 km of their locations, a significant improvement over several existing methods. © 2019 Association for computing Machinery.

关键词： Heterogeneous networks

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New Virus Infection Technology and Its Detection

New Virus Infection Technology and Its Detection

引用

IEEE International Conference on Software engineering and Service Sciences (ICSESS)

作者： Zhixu Yangchun Yuntian Zhao Ju Yang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan China

ISBN: (数字)9781728165790

ISBN: (纸本)9781728165806

Computer virus detection technology is an important basic security technology in the information age. The current detection technology has a high success rate for the detection of known viruses and known virus infection technologies, but the development of detection technology often lags behind the development of computer virus infection technology. Under Windows system, there are many kinds of file viruses, which change rapidly, and pose a continuous security threat to users. The research of new file virus infection technology can provide help for the development of virus detection technology. In this paper, a new virus infection technology based on dynamic binary analysis is proposed to execute file virus infection. Using the new virus infection technology, the infected executable file can be detected in the experimental environment. At the same time, this paper discusses the detection method of new virus infection technology. We hope to provide help for the development of virus detection technology from the perspective of virus design.

关键词： Computer viruses Instruments Resists Information age Security Viruses (medical) Software engineering

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Twitter User Geolocation based on Heterogeneous Network and Label Propagation 19

Twitter User Geolocation based on Heterogeneous Network and ...

引用

Proceedings of the 2019 8th International Conference on computing and Pattern Recognition

作者： Hechan Tian Yaqiong Qiao Yimin Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan China

ISBN: (纸本)9781450376570

关键词： Data mining label propagation heterogeneous network geolocation

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