检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Ji, Hongwei Yun, Wulian Qi, Mengshi Ma, Huadong State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China

Traditional temporal action localization (TAL) methods rely on large amounts of detailed annotated data, whereas few-shot TAL reduces this dependence by using only a few training samples to identify unseen action categories. However, existing few-shot TAL methods typically focus solely on video-level information, neglecting textual information, which can provide valuable semantic support for the localization task. Therefore, we propose a new few-shot temporal action localization method by Chain-of-Thought textual reasoning to improve localization performance. Specifically, we design a novel few-shot learning framework that leverages textual semantic information to enhance the model’s ability to capture action commonalities and variations, which includes a semantic-aware text-visual alignment module designed to align the query and support videos at different levels. Meanwhile, to better express the temporal dependencies and causal relationships between actions at the textual level to assist action localization, we design a Chain of Thought (CoT)-like reasoning method that progressively guides the Vision Language Model (VLM) and Large Language Model (LLM) to generate CoT-like text descriptions for videos. The generated texts can capture more variance of action than visual features. We conduct extensive experiments on the publicly available ActivityNet1.3 and THUMOS14 datasets. We introduce the first dataset named Human-related Anomaly Localization and explore the application of the TAL task in human anomaly detection. The experimental results demonstrate that our proposed method significantly outperforms existing methods in single-instance and multi-instance scenarios. We will release our code, data and benchmark. Copyright © 2025, The Authors. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Measuring network quantum steerability utilizing artificial neural networks

arXiv

引用

arXiv 2025年

作者： Li, Mengyan Jia, Yanning Guo, Fenzhuo Dong, Haifeng Qin, Sujuan Gao, Fei School of Science Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Mathematics and Information Networks Beijing University of Posts and Telecommunications Ministry of Education Beijing100876 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China School of Instrumentation Science and Opto-Electronics Engineering Beihang University Beijing100191 China

Network quantum steering plays a pivotal role in quantum information science, enabling robust certification of quantum correlations in scenarios with asymmetric trust assumptions among network parties. The intricate nature of quantum networks, however, poses significant challenges for the detection and quantification of steering. In this work, we develop a neural network-based method for measuring network quantum steerability, which can be generalized to arbitrary quantum networks and naturally applied to standard steering scenarios. Our method provides an effective framework for steerability analysis, demonstrating remarkable accuracy and efficiency in standard bipartite and multipartite steering scenarios. Numerical simulations involving isotropic states and noisy GHZ states yield results that are consistent with established findings in these respective scenarios. Furthermore, we demonstrate its utility in the bilocal network steering scenario, where an untrusted central party shares two-qubit isotropic states of different visibilities, ν and ω, with trusted endpoint parties and performs a single Bell state measurement. Through explicit construction of a network local hidden state model derived from numerical results and incorporation of the entanglement properties of network assemblages, we analytically demonstrate that the network steering thresholds are determined by the curve νω = 1/3 under the corresponding configuration. © 2025, CC BY.

关键词： Quantum entanglement

来源：评论

学校读者我要写书评

暂无评论

A Stochastic Approach of Dependency Evaluation for IoT Devices

引用

Chinese Journal of Electronics 2016年第2期25卷 209-214页

作者： HUANG Jiwei CHEN Guo CHENG Bo State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

Internet of things(Io T) is an emerging technique that offers advanced connectivity of devices, systems, services, and human beings. With the rapid development of hardware and network technologies, the Io T can refer to a wide variety and large number of devices, resulting in complex relationships among Io T devices. The dependencies among Io T devices, which reflect their relationships, are with reference value for the design, development and management of Io T devices. This paper proposes a stochastic model based approach for evaluating the dependencies of Io T devices. A random walk model is proposed to describe the relationships of Io T devices, and its corresponding Markov chain is obtained for dependency analysis. A framework as well as schemes and algorithms for dependency evaluation in real-world Io T are designed based on traffic measurement. Simulation experiments based on real-life data extracted from smart home environments are conducted to illustrate the efficacy of the approach.

关键词： Internet of things(IoT) Dependency Random walk Markov chain

来源：评论

学校读者我要写书评

暂无评论

Blockchain-Based Reliable Fog-Cloud Service Solution for IIoT

引用

Chinese Journal of Electronics 2021年第2期30卷 359-366页

作者： DAI Meiling XU Siya SHAO Sujie GUO Shaoyong QIU Xuesong XIONG Ao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

Industrial Internet of things(IIoT) deploys a large number of smart devices to obtain industrial data, which will be transmitted to cloud for analysis to improve industrial productivity. The management of large-scale devices is complicated, and it's also a challenge to choose a high-quality cloud service for data analysis as the number of service with similar functions increases. To address these issues, we propose a reliable fog-cloud service solution with blockchain-based fog-cloud architecture. In fog layer, we build a management blockchain between fog servers and design a management method for industrial devices; In cloud layer, we construct a service blockchain between cloud service providers to form an open "service market". Quality of service and reputation based matching algorithm and reputation-based consensus algorithm are designed. The simulation results show correctness and efficiency of algorithms, and validate effectiveness of our proposed solution.

关键词： industrial data management blockchain management method large-scale devices reputation-based consensus algorithm data analysis industrial productivity IIoT smart devices industrial devices open service market fog layer matching algorithm cloud computing cloud service providers service blockchain cloud layer high-quality cloud service fog servers fog blockchain-based reliable fog-cloud service solution blockchain-based fog-cloud architecture

来源：评论

学校读者我要写书评

暂无评论

Blockchain-Based Secure Distributed Control for Software Defined Optical networking

引用

China Communications 2019年第6期16卷 42-54页

作者： Hui Yang Yongshen Liang Qiuyan Yao Shaoyong Guo Ao Yu Jie Zhang State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and TelecommunicationsBeijing 100876China State Key Laboratory of Networking and Switch Technology Beijing University of Posts and TelecommunicationsBeijing 100876China

Software defined optical networking(SDON)is a critical technology for the next generation network with the advantages of programmable control and *** one of the key issues of SDON,the security of control plane has also received extensive attention,especially in certain network scenarios with high security *** to the existence of vulnerabilities and heavy overhead,the existing firewalls and distributed control technologies cannot solve the control plane security problem *** this paper,we propose a distributed control architecture for SDON using the blockchain technique(BlockCtrl).The proposed BlockCtrl model introduces the advantages of blockchain into SDON to achieve a high-efficiency fault tolerant *** have evaluated the performance of our proposed architecture and compared it to the existing models with respect to various metrics including processing rate,recovery latency and *** numerical results show that the BlockCtrl is capable of attacks detection and fault tolerant control in SDON with high performance on resource utilization and service correlation.

关键词： blockchain fault tolerant control network security software defined networking

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Channel Estimation Algorithm for Massive-MIMO OTFS

An Adaptive Channel Estimation Algorithm for Massive-MIMO OT...

引用

2nd International Conference on the Frontiers of Intelligent Control, Measurement, and Signal Systems, FICMSS 2025

作者： Yuan, Xingfang Miao, Hongxia Yin, Peng Liu, Yiwei Wang, Yuntang State Key Laboratory of Networking and Switching Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Defence Industry Secrecy Examination and Certification Center Beijing100089 China School of Cyber Security University of Chinese Academy of Sciences Beijing100085 China

Orthogonal Time Frequency Space (OTFS) modulation has emerged as a significant focus of highly dynamic wireless communication, for which the channel estimation is a main challenge. Using the sparsity of Massive Multiple Input Multiple Output (Massive MIMO) OTFS channel in delay-Doppler-angular domain, a compressed sensing based method is proposed in this study, called as adaptive structural orthogonal matching pursuit (ASOMP). The MIMO-OTFS channel estimation problem is modeled as a sparse signal recovery task. By designing an adaptive angular domain supports selection method based on energy levels, the channel estimation accuracy is improved. Furthermore, an modified Gram-Schmidt QR decomposition algorithm is illustrated to reduce computational complexity. Simulation results demonstrate the superior performance of the ASOMP algorithm over the benchmark algorithms. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Signal reconstruction

来源：评论

学校读者我要写书评

暂无评论

ERFC:An Enhanced Recursive Flow Classification Algorithm

引用

Journal of Computer Science & technology 2010年第5期25卷 958-969页

作者：龚向阳王文东程时端 State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications CCF

Packet classification on multi-fields is a fundamental mechanism in network equipments,and various classification solutions have been *** of inherent difficulties,many of these solutions scale poorly in either time or space as rule sets grow in *** Flow Classification（RFC） is an algorithm with a very high classifying speed. However,its preprocessing complexity and memory requirement are rather *** this paper,we propose an enhanced RFC（ERFC） algorithm,in which a hash-based aggregated bit vector scheme is exploited to speed up its preprocessing procedure.A compressed and cacheable data structure is also introduced to decrease total memory requirement and improve its searching *** results show that ERFC provides a great improvement over RFC in both space requirement and preprocessing *** search time complexity of ERFC is equivalent to that of RFC in the worst case; and its average classifying speed is improved by about 100%.

关键词： packet classification ERFC(enhanced recursive flow classification) preprocessing and storage optimization

来源：评论

学校读者我要写书评

暂无评论

Improving the security of secure deterministic communication scheme based on quantum remote state preparation

引用

Chinese Physics B 2010年第2期19卷 73-76页

作者：秦素娟温巧燕 State Key Laboratory for Networking and Switching Technology Beijing University of Posts and Telecommunicationy

The security of the quantum secure deterministic communication scheme [Chin. Phys.16 （2007） 2549] is reexamined. A security loophole is pointed out. Taking advantage of this loophole, an eavesdropper can steal all the secret messages without being detected by an intercept-and-resend attack strategy. Furthermore, a possible improvement on this protocol is presented. It makes the modified protocol secure against this kind of attack.

关键词： quantum secure direct communication cryptanalysis quantum cryptography security

来源：评论

学校读者我要写书评

暂无评论

Minimizing Data Collection Latency for Coexisting Time-Critical Wireless Networks with Tree Topologies

引用

IEEE Transactions on Network and Service Management 2025年

作者： Zhang, Jialin Liang, Wei Yang, Bo Shi, Huaguang Liang, Ying-Chang Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang110016 China Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang Institute of Automation Shenyang110016 China Northwest A and F University College of Information Engineering Yangling712100 China Henan University School of Artificial Intelligence Zhengzhou450046 China University of Electronic Science and Technology of China Center for Intelligent Networking and Communications Chengdu611731 China

Time-Critical Wireless Network (TCWN) is a promising communication technology that can satisfy the low latency, high reliability, and deterministic requirements of mission-critical applications. Multiple TCWNs required by various applications inevitably coexist with each other. Most existing works aim to achieve acceptable latency or consider the simplest topology (i.e., line topology). As latency requirements become more stringent, exploring the minimum data collection latency becomes an interesting problem. In this paper, the coexisting system consists of multiple tree-topology-based TCWNs. We first establish a conversion framework to convert an arbitrary tree topology into multiple analogous line topologies to reduce the analysis complexity. We then propose a Time-Critical wireless network Scheduling (TCS) algorithm to minimize the data collection latency of coexisting TCWNs. The TCS algorithm consists of two phases. In the internetwork scheduling phase, we strictly derive a general expression to characterize the practical network requirements. In the intranetwork scheduling phase, we design two levels of priority assignment algorithms to accurately characterize the critical states and resource requirements of different nodes. We conduct extensive simulations to verify the effectiveness of the TCS algorithm. The evaluation results show that the TCS algorithm can achieve minimum data collection latency in more than 99.956% cases, and the maximum difference compared to the optimal value is one time slot. © 2004-2012 IEEE.

关键词： Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

Plume:Lightweight and Generalized Congestion Control with Deep Reinforcement Learning

引用

China Communications 2022年第12期19卷 101-117页

作者： Dehui Wei Jiao Zhang Xuan Zhang Chengyuan Huang State Key Laboratory of Networking and Switching Technology BUPT 100876China

Congestion control(CC)is always an important issue in the field of networking,and the enthusiasm for its research has never diminished in both academia and *** current years,due to the rapid development of machine learning(ML),the combination of reinforcement learning(RL)and CC has a striking ***,These complicated schemes lack generalization and are too heavyweight in storage and computing to be directly implemented in mobile *** order to address these problems,we propose Plume,a high-performance,lightweight and generalized RL-CC *** proposes a lightweight framework to reduce the overheads while preserving the original ***,Plume innovatively modifies the framework parameters of the reward function during the retraining process,so that the algorithm can be applied to a variety of *** results show that Plume can retain almost all the performance of the original model but the size and decision latency can be reduced by more than 50%and 20%,***,Plume has better performances in some special scenes.

关键词： congestion control deep reinforcement learning lightweight generalization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：