检索结果-内蒙古大学图书馆

4th International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2023

作者： Miao, Chao Li, Shaomei Wan, Fangjie School of Cyber Science and Engineering Zhengzhou University Zhengzhou China R&D Center National Digital Switching System Engineering & Technological Zhengzhou China

ISBN: (纸本)9798350343113

Aiming at the shortcomings of existing user profile construction algorithms that do not fully utilize contextual structural information and multidimensional feature information., a user profile construction model based on the pre-training model NEZHA, deep Pyramidal Convolutional Neural Networks (dPCNN), Gated recurrent Unit (GrU), and attention mechanism is proposed, NCdGA. The method uses multiple channels to process the text, capturing different dimensions of information and constructing features to reduce the prediction bias that occurs when a single model captures a single feature. The experimental results show that the NCdGA model has better accuracy and effectiveness compared with other modeling methods. © 2023 IEEE.

关键词： User profile

来源：评论

学校读者我要写书评

暂无评论

downlink MMSE Beamforming for dynamic Metasurface Antennas 3

Downlink MMSE Beamforming for Dynamic Metasurface Antennas

引用

3rd International Conference on Electronic Information engineering and Computer Science, EIECS 2023

作者： Han, Zhiqiang Guo, Shuming Wang, Shifei Zhengzhou University School of Cyber Science and Engineering Zhengzhou China National Digital Switching System Engineering & Technological R&d Center Zhengzhou China

ISBN: (纸本)9798350316674

dynamic metasurface antenna (dMA) array is a new type of array structure with low complexity and low cost, which is emerging as a promising technique for next-generation wireless networks. In this paper, a downlink multi-user MISO system based on dMA arrays is investigated, and the mean square error (MSE) is chosen as a performance metric to characterize the transmission reliability. The beamforming performance of dMA arrays is investigated using the minimum mean square error (MMSE) criterion. For the multiuser scenario, the optimization problem minimizes MSE by jointly optimizing the transmit precoder and dMA weights while satisfying the transmit power constraint. Our numerical results show that the proposed MMSE scheme converges fast and performs close to full digital beamforming. © 2023 IEEE.

关键词： Beamforming component dMA manifold optimization (MO) MMSE

来源：评论

学校读者我要写书评

暂无评论

A BErT-GCN-Based detection Method for FBS Telecom Fraud Chinese SMS Texts 4

A BERT-GCN-Based Detection Method for FBS Telecom Fraud Chin...

引用

4th International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2023

作者： Zhang, Xuanming Huang, ruiyang Jin, Lixiao Wan, Fangjie School of Cyber Science and Engineering Zhengzhou University Zhengzhou China National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

ISBN: (纸本)9798350343113

In the past decade, Fake Base Stations (FBS) have been consistently employed by criminals to target mobile users through spam text messages. despite the introduction of several techniques to mitigate this problem, spam messages remain a persistent and challenging issue in some countries, such as china, resulting in billions of dollars in annual economic losses. Therefore, this paper proposes an algorithm named BErT-GCN that combines large-scale pre-training models with Graph Convolutional Networks (GCN) for multi-class detection of fraudulent base station telecommunications scams in Chinese text messages. First, BErT (Bidirectional Encoder representation from Transformers) is used to encode the corpus and generate word embeddings. Subsequently, the generated word embeddings are fed into GCN for training. Finally, a Softmax layer is employed to perform multi-class detection on fraudulent base station telecommunications scams in Chinese text messages. Experimental results demonstrate that the proposed model achieves favorable performance on the FBS-SMS-dataset and exhibits outstanding performance in the domain of multi-class detection. © 2023 IEEE.

关键词： Base stations

来源：评论

学校读者我要写书评

暂无评论

SecIngress:An API Gateway Framework to Secure Cloud Applications Based on N-Variant system

引用

china Communications 2021年第8期18卷 17-34页

作者： dacheng Zhou Hongchang Chen Guozhen Cheng Weizhen He Lingshu Li National Digital Switching System Engineering and Technological R&D Center ZhengzhouHenan 450002China

Based on the diversified technology and the cross-validation mechanism,the N-variant system provides a secure service architecture for cloud providers to protect the cloud applications from attacks by executing multiple variants of a single software in parallel and then checking their behaviors’***,it is complex to upgrade current Software as a Service(SaaS)applications to adapt N-variant system *** arise from the inability of tenants to adjust the application architecture in the cloud environment,and the difficulty for cloud service providers to implement N-variant systems using existing API *** paper proposes SecIngress,an API gateway framework,to overcome the challenge that it is hard in the cloud environment to upgrade the applications based on N-variants *** design a two-stage timeout processing method to lessen the service latency and an Analytic Hierarchy Process Voting under the Metadata mechanism(AHPVM)to enhance voting *** implement a prototype in a testbed environment and analyze the security and performance metrics before and after deploying the prototype to show the effectiveness of *** results reveal that SecIngress enhances the reliability of cloud applications with acceptable performance degradation.

关键词： N-variant system API gateway cloud security analytic hierarchy process

来源：评论

学校读者我要写书评

暂无评论

Multi-Modal Named Entity recognition with Auxiliary Visual Knowledge and Word-Level Fusion

引用

Computers, Materials and Continua 2025年第3期83卷 5747-5760页

作者： Huansha Wang ruiyang Huang Qinrang Liu Xinghao Wang National Digital Switching System Engineering & Technological R&D Center Information Engineering University Zhengzhou 450001 China

Multi-modal Named Entity recognition (MNEr) aims to better identify meaningful textual entities by integrating information from images. Previous work has focused on extracting visual semantics at a fine-grained level, or obtaining entity related external knowledge from knowledge bases or Large Language Models (LLMs). However, these approaches ignore the poor semantic correlation between visual and textual modalities in MNEr datasets and do not explore different multi-modal fusion approaches. In this paper, we present MMAVK, a multi-modal named entity recognition model with auxiliary visual knowledge and word-level fusion, which aims to leverage the Multi-modal Large Language Model (MLLM) as an implicit knowledge base. It also extracts vision-based auxiliary knowledge from the image for more accurate and effective recognition. Specifically, we propose vision-based auxiliary knowledge generation, which guides the MLLM to extract external knowledge exclusively derived from images to aid entity recognition by designing target-specific prompts, thus avoiding redundant recognition and cognitive confusion caused by the simultaneous processing of image-text pairs. Furthermore, we employ a word-level multi-modal fusion mechanism to fuse the extracted external knowledge with each word-embedding embedded from the transformer-based encoder. Extensive experimental results demonstrate that MMAVK outperforms or equals the state-of-the-art methods on the two classical MNEr datasets, even when the large models employed have significantly fewer parameters than other baselines.

关键词： Multi-modal named entity recognition large language model multi-modal fusion

来源：评论

学校读者我要写书评

暂无评论

radar Signal deinterleaving Based on Hidden Markov Chains and residual Fence Networks

引用

IEEE Transactions on Aerospace and Electronic systems 2024年

作者： Xie, Min Huang, Jie Zhao, Chuang Hu, de-Xiu Sun, Yi-Fan National Digital Switching System Engineering & Technological R&D Center Zhengzhou450000 China

For prior-knowledge-informed scenarios, this paper proposes a radar signal deinterleaving method based on hidden Markov chains and residual fence networks (rFNs) with enhanced applicability for different pulse repetition interval (PrI) types and improved performance under PrI jitter. The proposed approach accommodates the five main PrI modulation types by modeling interleaved pulse streams as hidden Markov models (HMMs). Pulse deinterleaving is transformed into a state-sequence prediction problem using HMMs and further into a path optimization problem within rFNs. This method utilizes global information for reliable sequence separation. Experimental results indicate that the method effectively deinterleaves fixed, staggered, dwell-And-switch, sliding, and wobulated sequences under unintentional jitter, significantly improving performance under intentional jitter. The practical value and applicability of the method are demonstrated, providing a new perspective for deinterleaving. © 1965-2011 IEEE.

关键词： Hidden Markov models

来源：评论

学校读者我要写书评

暂无评论

A Scheme for Authentication and Traceability of 5G Mobile Terminal Based on IPv6 and Blockchain 16

A Scheme for Authentication and Traceability of 5G Mobile Te...

引用

16th International Conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Ji, Xinsheng Zhao, Ying Liao, Xingxing Yang, Jie Wang, Chunxiao Tsinghua University Department of Computer Science and Technology Beijing100084 China National Digital Switching System Engineering & Technological R&d Center Zhengzhou450002 China Purple Mountain Laboratories Nanjing211111 China School of Cyber Science and Engineering Southeast University Nanjing211102 China

ISBN: (纸本)9798350390643

To satisfy the service-side requirements for network layer authentication and traceability of users, this paper proposes a method for mobile terminal authentication and identity tracing based on IPv6 and blockchain. Our method introduces a new verification function (VEF) to verify the interface identification between the terminal and the 5G core network (5GC), thereby effectively enhancing the security of terminal access. Furthermore, considering the privacy protection of user identity information to prevent attackers from deducing encrypted content, it is necessary to periodically update encryption keys. Focusing on the practical deployment of VEFs on a network-wide scale and server-proximal for authentication and traceability, a time-varying key sharing scheme based on blockchain is proposed. The experimental section analyzes the communication performance and security of the proposed scheme, showing that our scheme does not significantly degrade the original network performance while providing substantial security gains. © 2024 IEEE.

关键词： Authentication Protocol

来源：评论

学校读者我要写书评

暂无评论

6G Polymorphic Smart Network Architecture and Key Technologies 5

6G Polymorphic Smart Network Architecture and Key Technologi...

引用

5th International Conference on Frontiers technology of Information and Computer, ICFTIC 2023

作者： Liao, Xingxing You, Wei Lv, Jingwen Wang, Min Zhao, Ying He, Gang Purple Mountain Laboratories Nanjing China National Digital Switching Engineering & Technological R&d Center Zhengzhou China Southeast University Nanjing China

ISBN: (纸本)9798350309034

In response to the problems of high architecture complexity, only support the IP, difficult against unknown threats, deficient intelligent in 5G network, a new polymorphic smart network architecture is proposed, including network system architecture and network deployment architecture. New network functions, such as polymorphic routing and addressing, endogenous security, and endogenous intelligent, are designed into the architecture. the polymorphic smart network selects corresponding network models for each terminal. SdN plans a network path for the network model that is associated with security and AI services. Finally, this article provides a simple validation of key technologies. © 2023 IEEE.

关键词： 6G architecture endogenous intelligent endogenous security polymorphic SdN

来源：评论

学校读者我要写书评

暂无评论

A Survey: FPGA-Based dynamic Scheduling of Hardware Tasks

引用

Chinese Journal of Electronics 2021年第6期30卷 991-1007页

作者： LI Tianyang ZHANG Fan GUO Wei SUN Mingqian CHEN Li PLA Strategic Support Force Information Engineering University National Digital Switching System Engineering and Technological R&D Center Southeast University

To meet the increasing computing needs of various application fields, Field programmable gate array(FPGA) has been widely deployed. In FPGA-based processing, hardware tasks can be better accelerated by allocating appropriate computing resources. Therefore,FPGA-based hardware task scheduling has become one of the mainstream research directions in academia and industry. However, the optimization objectives of existing FPGA-based hardware task scheduling methods are relatively scattered. In this regard, this paper summarizes the research status of hardware task dynamic scheduling from the three essential elements of FPGA processing: time, resources, and power *** paper analyzes, sorts out, categorizes the ideas and implementations of various scheduling methods and analyzes and evaluates optimization effects of various scheduling methods from multiple dimensions. Then, the shortcomings of the existing methods are summarized and some practical applications are introduced. Finally, the research direction of task scheduling based on FPGA is prospected and summarized.

关键词： optimisation Field programmable gate array FPGA-based dynamic scheduling mainstream research directions appropriate computing resources dynamic scheduling optimization objectives hardware task dynamic scheduling power consumption field programmable gate arrays

来源：评论

学校读者我要写书评

暂无评论

CLMSI: A Novel Image-Text Named Entity recognition Method Based on Contrast Learning and Multimodal Semantic Interaction 11

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

引用

11th IEEE International Conference on Behavioural and Social Computing, BESC 2024

作者： Ma, Jiangtao Jin, Wenduo Chen, Yonggang Zhang, Fan Qian, Shenyi Qiao, Yaqiong College of Computer and Information Engineering Tianjin Normal University Tianjin300387 China School of Computer Science and Technology Zhengzhou University of Light Industry Zhengzhou450000 China The State Information Center China China National Digital Switching System Engineering and Technology R&D Center Zhengzhou China College of Cyber Science Nankai University Tianjin300350 China

ISBN: (纸本)9798331531904

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. © 2024 IEEE.

关键词： Contrastive Learning

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：