检索结果-内蒙古大学图书馆

A Semi-supervised Deep Learning Model with Consistency Regularization of Augmented Samples for Imbalanced Fault Detection 13

学校读者我要写书评

暂无评论

A Semi-supervised Deep Learning Model with Consistency Regul...

13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022

作者： Chen, Hao Han, Junhua Lv, Xiaomeng Wu, Zhenyu Guo, Huifeng Zhan, Zhiqiang School of Information and Communication Engineering Beijing University of Posts and Telecommunications China Shenzhen Research Institute Beijing University of Posts and Telecommunications Shenzhen China State Key Laboratory of Mobile Network and Mobile Multimedia Technology ZTE Corporation Shenzhen China

ISBN: (数字)9781665486903

ISBN: (纸本)9781665486903

With increasing requirements on reliability, maintainability and safety in modern ICT systems, fault detection, as an indispensable part of AIOps, has become essential in cloud computing or communication network environments. However, due to the lack of effective labels and class imbalance on faulty samples, fault detection performance based on the common classification model can't meet the system's operational requirements. Some recent approaches of SSL propose a consistency regularization loss to solve the problem of insufficient labels. However, these approaches are mainly for images based on artificial data augmentations but not feasible for all data types, and class-imbalance problem is not considered simultaneously. So, we propose a semi-supervised method for imbalanced fault detection with few labels, called SSLCR-IFD. In the method, we use a semi-supervised deep classifier based on consistency loss to solve the lack of labels, in which two sample augmentation methods based on clustering and GAN are used. Furthermore, a selective pseudo-labeling self-training strategy is proposed to solve the class-imbalance problem. Compared with the standard data augmentation, our methods alleviates the need for domain knowledge and can be used on multiple types of tasks. Finally, experiment results show that our method outperforms the baseline methods on two different AIOps tasks. © 2022 IEEE.

关键词： Fault detection

Qubit-based distributed frame synchronization for quantum key distribution

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Chen, Ye Huang, Chunfeng Huang, Shuyi Zhang, Zhenrong Wei, Kejin Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and Technology Guangxi University Nanning530004 China Guangxi Key Laboratory of Multimedia Communications and Network Technology School of Computer Electronics and Information Guangxi University Nanning530004 China

Quantum key distribution (QKD) is a method that enables two remote parties to share a secure key string. Clock synchronization between two parties is a crucial step in the normal operation of QKD. Qubit-based synchronization can achieve clock synchronization by transmitting quantum states between two remote parties, eliminating the necessity for hardware synchronization and thereby greatly reducing the hardware requirements of a QKD system. Nonetheless, classical qubit-based synchronization exhibits poor performance in continuous and high-loss systems, hindering its wide applicability in various scenarios. Here, we propose a qubit-based distributed frame synchronization method that can achieve time recovery in a continuously running system and resist higher losses. Experimental results show that the proposed method outperforms the advanced qubit-based synchronization method Qubit4Sync in a continuously running system. Particularly, the results demonstrate that our method surpasses all previous works in key parameters, including frequency and the synchronization length. We believe our method is applicable to a broad range of QKD scenarios, including drone-based QKD and quantum network construction. © 2023, CC BY.

关键词： Synchronization

Experimental secure entanglement-free quantum remote sensing over 50 km of optical fiber

学校读者我要写书评

暂无评论

arXiv 2024年

作者： He, Wenjie Huang, Chunfeng Guan, Rui Chen, Ye Zhang, Zhenrong Wei, Kejin Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and Technology Guangxi University Nanning530004 China Guangxi Key Laboratory of Multimedia Communications and Network Technology School of Computer Electronics and Information Guangxi University Nanning530004 China

Secure quantum remote sensing (SQRS) uses quantum states to gather information about distant objects or environments while ensuring secure data transmission against eavesdropping. It has potential applications in various fields, including environmental monitoring, military surveillance, and disaster response, where both data accuracy and transmission security are critical. Recent experiments have demonstrated the feasibility of SQRS using entanglement states. Here, we experimentally demonstrate an SQRS that can estimate a phase without requiring entanglement, offering the practical advantage that single-qubit states are easier to prepare. We successfully estimate the preset phase information at a remote site over a fiber distance of 50 km, which serves as a key step toward long-distance applications. © 2024, CC BY-NC-ND.

关键词： Optical fibers

A cost-efficient quantum access network with qubit-based synchronization

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Huang, Chunfeng Chen, Ye Luo, Tingting He, Wenjie Liu, Xin Zhang, Zhenrong Wei, Kejin Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and Technology Guangxi University Nanning530004 China Guangxi Key Laboratory of Multimedia Communications and Network Technology School of Computer Electronics and Information Guangxi University Nanning530004 China

Quantum key Distribution (QKD) is a physical layer encryption technique that enables two distant parties to exchange secure keys with information-theoretic security. In the last two decades, QKD has transitioned from laboratory research to real-world applications, including multi-user quantum access networks (QANs). This network structure allows users to share a single-photon detector at a network node through time-division multiplexing, thereby significantly reducing the network cost. However, current QAN implementations require additional hardware for auxiliary tasks such as time synchronization. To address this issue, we propose a cost-efficient QAN that uses qubit-based synchronization. In this approach, the transmitted qubits facilitate time synchronization, eliminating the need for additional synchronization hardware. We tested our scheme by implementing a network for two users and successfully achieved average secure key rates of 53.84 kbps and 71.90 kbps for each user over a 50-km commercial fiber spool. In addition, we investigated the capacity of the access network under cross-talk and loss conditions. The simulation results demonstrate that this scheme can support a QAN with 64 users with key rates up to 1070 bps. Our work provides a feasible and cost-effective way to implement a multi-user QKD network, further promoting the widespread application of QKD. © 2023, CC BY.

关键词： Quantum cryptography

Mode-pairing quantum key distribution with advantage distillation

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Liu, Xin Luo, Di Zhang, Zhenrong Wei, Kejin Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and Technology Guangxi University Nanning530004 China Guangxi Key Laboratory of Multimedia Communications and Network Technology School of Computer Electronics and Information Guangxi University Nanning530004 China

Mode-pairing quantum key distribution (MP-QKD) is an easy-to-implement scheme that transcends the Pirandola–Laurenza–Ottaviani–Banchi bound without using quantum repeaters. In this paper, we present an improvement of the performance of MP-QKD using an advantage distillation method. The simulation results demonstrate that the proposed scheme extends the transmission distance significantly with a channel loss exceeding 7.6 dB. Moreover, the scheme tolerates a maximum quantum bit error rate of 8.9%, which is nearly twice that of the original MP-QKD. In particular, as the system misalignment error increases, the expandable distance of the proposed scheme also increases. The proposed system is expected to promote the practical implementation of MP-QKD in a wide range of applications, particularly in scenarios involving high channel losses and system errors. © 2023, CC BY.

关键词： Quantum cryptography

Refrence-Frame-Independent Quantum key Distribution over 250 km of Optical Fiber

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Liu, Xin Luo, Di Luo, Zhicheng Li, Shizhuo Zhang, Zhenrong Wei, Kejin Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and Technology Guangxi University Nanning530004 China Guangxi Key Laboratory of Multimedia Communications and Network Technology School of Computer Electronics and Information Guangxi University Nanning530004 China

The reference-frame-independent quantum key distribution (RFI QKD) protocol enables QKD systems to function effectively despite slowly varying reference frames, offering a distinct advantage in practical scenarios, particularly in mobile platforms. In this study, we successfully distribute secure key bits over a 250 km optical fiber distance by developing an RFI QKD system with a repetition rate of 150 MHz. Benefiting from high repetition rate, we achieve a finite-key secret key rate of 49.65 bit/s at a distance of 200 km, which is more than three times higher than state-of-the-art systems. Our work dramatically extends the transmission distance and enhances the secret key rate of RFI QKD, significantly promoting its practical application. © 2024, CC BY-NC-ND.

关键词： Optical fibers

Practical asynchronous measurement-device-independent quantum key distribution with advantage distillation

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Luo, Di Liu, Xin Qin, Kaibiao Zhang, Zhenrong Wei, Kejin Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science and Technology Guangxi University Nanning530004 China Guangxi Key Laboratory of Multimedia Communications and Network Technology School of Computer Electronics and Information Guangxi University Nanning530004 China

The advantage distillation (AD) method has proven effective in improving the performance of quantum key distribution (QKD). In this paper, we introduce the AD method into a recently proposed asynchronous measurement-device-independent (AMDI) QKD protocol, taking finite-key effects into account. Simulation results show that the AD method significantly enhances AMDIQKD, e.g., extending the transmission distance by 16 km with a total pulse count of N = 7.24×1013, and enables AMDI-QKD, previously unable to generate keys, to generate keys with a misalignment error rate of 10%. As the AD method can be directly integrated into the current system through refined post-processing, our results facilitate the practical implementation of AMDI-QKD in various applications, particularly in scenarios with high channel losses and misalignment errors. © 2024, CC BY-NC-SA.

关键词： Quantum cryptography

Sequence to Point Learning Based on Bidirectional Dilated Residual network for Non-Intrusive Load Monitoring

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Jia, Ziyue Yang, Linfeng Zhang, Zhenrong Liu, Hui Kong, Fannie School of Computer Electronics and Information Guangxi University Nanning530004 China Guangxi Key Laboratory of Multimedia Communication and Network Technology Guangxi University Nanning530004 China School of Electrical Engineering Guangxi University Nanning530004 China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning530004 China

Non-Intrusive Load Monitoring (NILM) or Energy Disaggregation (ED), seeks to save energy by decomposing corresponding appliances power reading from an aggregate power reading of the whole house. It is a single channel blind source separation problem (SCBSS) and difficult prediction problem because it is unidentifiable. Recent research shows that deep learning has become a growing popularity for NILM problem. The ability of neural networks to extract load features is closely related to its depth. However, deep neural network is difficult to train because of exploding gradient, vanishing gradient and network degradation. To solve these problems, we propose a sequence to point learning framework based on bidirectional (non-casual) dilated convolution for NILM. To be more convincing, we compare our method with the state of art method—Seq2point (Zhang) directly and compare with existing algorithms indirectly via two same datasets and metrics. Experiments based on REDD and UK-DALE data sets show that our proposed approach is far superior to existing approaches in all appliances. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep neural networks

General Simultaneous Localization and Mapping Scheme for mmWave communication Systems

学校读者我要写书评

暂无评论

IEEE Internet of Things Journal 2024年第12期11卷 22521-22536页

作者： Du, Tao Yang, Jie Wen, Chao-Kai Xia, Shuqiang Jin, Shi Southeast University National Mobile Communications Research Laboratory Nanjing210096 China Southeast University Key Laboratory Of Measurement And Control Of Complex Systems Of Engineering Ministry Of Education The Frontiers Science Center For Mobile Information Communication And Security Nanjing210096 China Institute Of Communications Engineering National Sun Yat-sen University Kaohsiung80424 Taiwan Zte Corporation The State Key Laboratory Of Mobile Network And Mobile Multimedia Technology Shenzhen518055 China Southeast University National Mobile Communications Research Laboratory The Frontiers Science Center For Mobile Information Communication And Security Nanjing210096 China

Utilizing high-resolution antenna arrays and wide bandwidth of the millimeter-wave (mmWave) spectrum in 5G new radio (NR) mmWave communication systems holds the potential for high-throughput data transmission while enabling user localization and environmental mapping. However, the majority of existing simultaneous localization and mapping (SLAM) algorithms rely on methods akin to the extended Kalman filter for generating initial map features. These methods prove ineffective when the measurement dimension is insufficient. Furthermore, there is a notable absence of research exploring mmWave prototype systems to evaluate and compare the performance and viability of various SLAM algorithms. To address these challenges, we propose an innovative probability hypothesis density (PHD) generation scheme for birth events and have developed a prototype system. Our approach, referred to as PHD-SLAM, exhibits remarkable effectiveness even in scenarios where the measurement dimension falls short of map features. This means it can function seamlessly with only delay or angle information available. Additionally, we have designed a 28GHz mmWave beam scanning prototype system that leverages the 5G NR frame for accomplishing SLAM algorithms. Following this, we conducted extensive simulations and experimental evaluations to gauge the performance of several leading-edge SLAM algorithms under diverse mmWave circumstances, encompassing PHD-based and belief propagation (BP) SLAM algorithms. Our analysis reveals that both PHD and BP SLAM can achieve agent localization precision within a decimeter and mapping precision within a meter, capitalizing on the angle parameters of mmWave signals. While BP SLAM showcases reduced computational demand, its estimation precision is marginally inferior to that of PHD-SLAM. © 2014 IEEE.

关键词： Belief propagation