检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Kou, Zhiqiang Wang, Jing Jia, Yuheng Geng, Xin MOE Key Laboratory of Computer Network and Information Integration School of Computer Science and Engineering Southeast University Nanjing China

In this paper, we introduce the Dependent Noise-based Inaccurate Label Distribution Learning (DN-ILDL) framework to tackle the challenges posed by noise in label distribution learning, which arise from dependencies on instances and labels. We start by modeling the inaccurate label distribution matrix as a combination of the true label distribution and a noise matrix influenced by specific instances and labels. To address this, we develop a linear mapping from instances to their true label distributions, incorporating label correlations, and decompose the noise matrix using feature and label representations, applying group sparsity constraints to accurately capture the noise. Furthermore, we employ graph regularization to align the topological structures of the input and output spaces, ensuring accurate reconstruction of the true label distribution matrix. Utilizing the Alternating Direction Method of Multipliers (ADMM) for efficient optimization, we validate our method's capability to recover true labels accurately and establish a generalization error bound. Extensive experiments demonstrate that DN-ILDL effectively addresses the ILDL problem and outperforms existing LDL methods. © 2024, CC BY.

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

Critical (P5, dart) -Free Graphs 16th

Critical (P5, dart) -Free Graphs

引用

16th Annual International Conference on Combinatorial Optimization and Applications, COCOA 2023

作者： Xia, Wen Jooken, Jorik Goedgebeur, Jan Huang, Shenwei College of Computer Science Nankai University Tianjin300071 China Tianjin Key Laboratory of Network and Data Security Technology Nankai University Tianjin300071 China Department of Computer Science KU Leuven Campus Kulak-Kortrijk Kortrijk8500 Belgium Department of Applied Mathematics Computer Science and Statistics Ghent University Ghent9000 Belgium

ISBN: (纸本)9783031496134

Given two graphs H1 and H2, a graph is (H1, H2) -free if it contains no induced subgraph isomorphic to H1 nor H2. A dart is the graph obtained from a diamond by adding a new vertex and making it adjacent to exactly one vertex with degree 3 in the diamond. In this paper, we show that there are finitely many k-vertex-critical (P5, dart) -free graphs for k≥ 1. To prove these results, we use induction on k and perform a careful structural analysis via Strong Perfect Graph Theorem combined with the pigeonhole principle based on the properties of vertex-critical graphs. Moreover, for k∈ { 5, 6, 7 } we characterize all k-vertex-critical (P5, dart) -free graphs using a computer generation algorithm. Our results imply the existence of a polynomial-time certifying algorithm to decide the k-colorability of (P5, dart) -free graphs for k≥ 1 where the certificate is either a k-coloring or a (k+ 1 ) -vertex-critical induced subgraph. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Polynomial approximation

来源：评论

学校读者我要写书评

暂无评论

Microservices Crowdsourcing Platform for Industrial Control Systems 6

Microservices Crowdsourcing Platform for Industrial Control ...

引用

6th International Conference on Next Generation Data-Driven networks, NGDN 2024

作者： Wang, Han Peng, Xinyong Zhang, Haifeng Su, Jie Wang, Huiyong Li, Chunhai Guilin University of Electronic Technology College of Computer and Information Security Guilin China Guangxi Zhuang Autonomous Region Information Center Guangxi Key Laboratory of Digital Infrastructure Guilin China Guangxi Liugang Dongxin Technology Co. Ltd Guilin China Guilin University of Electronic Technology College of Information and Communication Guilin China

ISBN: (纸本)9798350388374

With the wide application of microservice architecture in industrial control systems, more and more security problems arise, such as unauthorized access and data leakage. For the generation of these problems, industrial control crowdsourcing testing is an effective solution. Therefore, this paper designs an industrial control crowdsourcing test platform based on microservice architecture. The enterprise-level microservice technology framework ensures the reliability of the architecture. At the same time, a microservice aggregation algorithm is introduced, which greatly reduces the time-consuming microservice subscription operations and improves the reuse rate of microservices through the secondary aggregation of microservices. In the experiments, this paper compares and analyses the performance of the microservice architecture integrated with the EMQX (Erlang MQTT X) framework, and the results show that the architecture performs well in terms of system response, and the stress test of 1,000 concurrent requests, the response time of the traditional architecture is in 1,400 milliseconds, while that of the microservice architecture is within 700 milliseconds, and the architecture of this paper improves the response speed and reliability of the overall architecture. It can be applied to various complex industrial IoT scenarios. © 2024 IEEE.

关键词： Crowdsourcing

来源：评论

学校读者我要写书评

暂无评论

Fast CU Partition for VVC Using Texture Complexity Classification Convolutional Neural network

引用

computers, Materials & Continua 2022年第11期73卷 3545-3556页

作者： Yue Zhang Pengyu Liu Xiaowei Jia Shanji Chen Tianyu Liu Chang Liu The Information Department Beijing University of TechnologyBeijing100124China School of Physics and Electronic Information Engineering Qinghai Minzu UniversityXining810000China Advanced Information Network Beijing Laboratory Beijing100124China Computational Intelligence and Intelligent Systems Beijing Key Laboratory Beijing100124China Department of Computer Science University of PittsburghPittsburgh15260USA

Versatile video coding(H.266/VVC),which was newly released by the Joint Video Exploration Team(JVET),introduces quad-tree plus multitype tree(QTMT)partition structure on the basis of quad-tree(QT)partition structure in High Efficiency Video Coding(H.265/HEVC).More complicated coding unit(CU)partitioning processes in H.266/VVC significantly improve video compression efficiency,but greatly increase the computational complexity *** ultra-high encoding complexity has obstructed its real-time *** order to solve this problem,a CU partition algorithm using convolutional neural network(CNN)is proposed in this paper to speed up the H.266/VVC CU partition ***,64×64 CU is divided into smooth texture CU,mildly complex texture CU and complex texture CU according to the CU texture ***,CU texture complexity classification convolutional neural network(CUTCC-CNN)is proposed to classify ***,according to the classification results,the encoder is guided to skip different RDO search *** optimal CU partition results will be *** results show that the proposed method reduces the average coding time by 32.2%with only 0.55%BD-BR loss compared with VTM 10.2.

关键词： Versatile video coding(VVC) coding unit partition convolutional neural network(CNN)

来源：评论

学校读者我要写书评

暂无评论

Object-Attribute-Relation Representation Based Video Semantic Communication

引用

IEEE Journal on Selected Areas in Communications 2025年第7期43卷 2446-2461页

作者： Du, Qiyuan Duan, Yiping Yang, Qianqian Tao, Xiaoming Debbah, Merouane Tsinghua University Department of Electronic Engineering Beijing China Beijing China State Key Laboratory of Space Network and Communications Beijing China Zhejiang University College of Information Science and Electronic Engineering Hangzhou China Xinjiang University School of Computer Science and Technology Xinjiang China Khalifa University KU6G Research Center Department of Computer and Information Engineering Abu Dhabi127788 United Arab Emirates University Paris-Saclay CentraleSupelec Gif-sur-Yvette91192 France

With the rapid growth of multimedia data volume, there is an increasing need for efficient video transmission in applications such as virtual reality and future video streaming services. Semantic communication is emerging as a vital technique for ensuring efficient and reliable transmission in low-bandwidth, high-noise settings. However, most current approaches focus on joint source-channel coding (JSCC) that depends on end-to-end training. These methods often lack an interpretable semantic representation and struggle with adaptability to various downstream tasks. In this paper, we introduce the use of object-attribute-relation (OAR) as a semantic framework for videos to facilitate low bit-rate coding and enhance the JSCC process for more effective video transmission. We utilize OAR sequences for both low bit-rate representation and generative video reconstruction. Additionally, we incorporate OAR into the image JSCC model to prioritize communication resources for areas more critical to downstream tasks. Our experiments on traffic surveillance video datasets assess the effectiveness of our approach in terms of video transmission performance. The empirical findings demonstrate that our OAR-based video coding method not only outperforms H.265 coding at lower bit-rates but also synergizes with JSCC to deliver robust and efficient video transmission. © 1983-2012 IEEE.

关键词： Video streaming

来源：评论

学校读者我要写书评

暂无评论

Correlation Power Analysis for SM4 based on EEMD, Permutation Entropy and Singular Spectrum Analysis 5

Correlation Power Analysis for SM4 based on EEMD, Permutatio...

引用

5th IEEE Advanced information Technology, Electronic and Automation Control Conference, IAEAC 2021

作者： Xia, Xuan Chen, Bowei Zhong, Weidong Wu, Liqiang University of Pap Key Laboratory of Network and Information Security under Engineering Xi'an China

ISBN: (纸本)9781728180281

Signal-to-noise ratio of the power consumption curves collected during encryption has a greater impact on the bits of Secret key cracked and the efficiency of later analysis. Wavelet threshold noise reduction's parameters are difficult to determine. Method based on EEMD and correlation coefficients is hard to adjust. Therefore, a noise reduction algorithm combining EEMD, Permutation Entropy and Singular Spectrum Analysis is proposed. The algorithm decomposes the original power consumption curves using EEMD to obtain Intrinsic Mode Function components, selects noisy IMF on the basis of correlation coefficient and PE, and then uses SSA to extract useful signals. Original power consumption curves, power consumption curves processed by EEMD and correlation coefficient, and the power consumption curves obtained by the method proposed in this paper are compared, and the correlation coefficient is increased by 37.11% and 26.47% respectively. The proportion of curves consumed increased by 77.5% and 25.8% respectively. © 2021 IEEE.

关键词： Empirical mode decomposition

来源：评论

学校读者我要写书评

暂无评论

Trellis-Based Construction of Polar Codes for SCL Decoding

Trellis-Based Construction of Polar Codes for SCL Decoding

引用

IEEE International Symposium on information Theory

作者： Xinyuanmeng Yao Xiangping Zheng Xiao Ma Guangdong Key Laboratory of Information Security Technology School of Computer Science and Engineering Sun Yat-sen University Guangzhou China School of Computer Science and Engineering Sun Yat-sen University Guangdong Key Laboratory of Information Security Technology Guangzhou China

ISBN: (数字)9798350382846

ISBN: (纸本)9798350382853

In this paper, we propose an approach to construction of polar codes for successive cancellation list (SCL) decoding with a preset list size. For a given code length, we construct a trellis through which a path corresponds to a polar code. Then, we employ a sequential search algorithm to find an expected path based on four path metrics and five path selection rules. Additionally, for polarization-adjusted convolutional (PAC) construction, we optimize the convolutional generator polynomial based on our constructed polar code. Numerical results show that our polar/PAC codes can achieve satisfactory performance.

关键词： Convolutional codes Measurement Search problems Picture archiving and communication systems Polynomials Generators Decoding

来源：评论

学校读者我要写书评

暂无评论

FDSC-YOLOv8:Advancements in Automated Crack Identification for Enhanced Safety in Underground Engineering

引用

computer Modeling in Engineering & Sciences 2024年第9期140卷 3035-3049页

作者： Rui Wang Zhihui Liu Hongdi Liu Baozhong Su Chuanyi Ma Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science Center(National Supercomputer Center in Jinan)Qilu University of Technology(Shandong Academy of Sciences)Jinan250353China School of Qilu Transportation Shandong UniversityJinan250100China Geotechnical and Structural Engineering Center Shandong UniversityJinan250061China Shandong Lairong High-Speed Railway Co. Ltd.Weihai264200China Shandong High-Speed Group Co. Ltd.Jinan250014China

In underground engineering,the detection of structural cracks on tunnel surfaces stands as a pivotal task in ensuring the health and reliability of tunnel ***,the dim and dusty environment inherent to under-ground engineering poses considerable challenges to crack *** paper proposes a crack segmentation algorithm termed as Focused Detection for Subsurface Cracks YOLOv8(FDSC-YOLOv8)specifically designed for underground engineering structural ***,to improve the extraction of multi-layer convolutional features,the fixed convolutional module is replaced with a deformable convolutional ***,the model’s receptive field is enhanced by introducing a multi-branch convolutional module,improving the extraction of shallow features for small ***,the Dynamic Snake Convolution module is incorporated to enhance the extraction capability for slender and weak ***,the Convolutional Block Attention Module(CBAM)module is employed to achieve better target *** FDSC-YOLOv8s algorithm’s mAP50 and mAP50-95 reach 96.5%and 66.4%,according to the testing data.

关键词： Crack segmentation improved YOLOv8 engineering applications feature extraction

来源：评论

学校读者我要写书评

暂无评论

LAGNet: A Hybrid Deep Learning Model for Automatic Modulation Recognition

LAGNet: A Hybrid Deep Learning Model for Automatic Modulatio...

引用

IEEE Conference on Wireless Communications and networking

作者： Zhuo Li Guangyue Lu Yuxin Li Hao Zhou Huan Li Shaanxi Key Laboratory of Information Communication Network and Security Xi'an University of Posts and Telecommunications Xi'an China School of Computer Science and Cyber Engineering Guangzhou University Guangzhou China

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

Automatic Modulation Recognition (AMR) is becoming increasingly crucial in the industrial internet, and it ensures more reliable communication for devices within this vast and intricate network. Although recent application of neural networks, notably Graph Convolutional network (GCN) in the AMR domain shows promising results, it fails to account for temporal features within modulation signals, resulting in a loss of recognition precision. Given that modulation signals possess both time and space features, this paper proposes a hybrid deep learning model named LAGNet, which combines Long Short-Term Memory (LSTM) and GCN. The model uses an attention mechanism to map the LSTM outputs into a graph and then employs the GCN to extract the spatial features of the signal. Subsequently, the temporal features and the spatial features are combined together for modulation signal classification. Experimental results show that LAGNet not only outperforms several advanced models in classification accuracy across all signal-to-noise ratios, but also requires fewer learnable parameters.

关键词： Deep learning Accuracy Neural networks Modulation Pattern classification Feature extraction Reliability

来源：评论

学校读者我要写书评

暂无评论

Blockchain E-voting Scheme Based on SM9 Partial Blind Signature 4

Blockchain E-voting Scheme Based on SM9 Partial Blind Signat...

引用

4th International Conference on computer information Science and Artificial Intelligence, CISAI 2021

作者： Yin, Dongqing Zhang, Mingshu Wei, Bin University of the PAP Key Laboratory for Network and Information Security of the PAP Engineering Xi'an China

ISBN: (纸本)9781665406925

Aiming at the problems of user privacy leakage, digital signature denial and tracking in the current digital signature electronic voting system, a blockchain electronic voting scheme based on SM9 partial blind signature is proposed. The use of partial blind signature can effectively resist signature denial and tracking. The problem is to introduce a trusted third party to prevent attackers from tampering with information, and at the same time use blockchain technology to replace voting and vote counting functions, which solves the drawbacks of the centralized system. The security analysis proves that the solution can meet the security requirements of the electronic voting protocol, improve the security and voter's sense of trust in the voting system, and reduce the voting cost. © 2021 IEEE.

关键词： Smart contract

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：