检索结果-内蒙古大学图书馆

26th International Conference on computer Supported Cooperative Work in Design, CSCWD 2023

作者： Geng, Wencong Zhang, Guijuan Lu, Dianjie Shandong Normal University School of Information Science and Engineering Jinan250358 China Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology Jinan250358 China State Key Laboratory of High-end Server & Storage Technology Jinan250101 China

ISBN: (纸本)9798350331684

The global spread of COVID-19 causes great losses to human society. Accurate calculation of the scale of epidemic spread is of great significance for the implementation of corresponding epidemic prevention measures. However, the existing method ignores the group formed by social relations of the population, which reduces the accuracy of the epidemic spread number calculation. In this paper, we propose an epidemic model based on intra- and inter-group interactions. Firstly, we construct a dual network model of epidemic spread based on intra- and inter-group interactions. The network describes how epidemics spread intra- and inter-group. To capture the intergroup influences, we construct a model for social mobility to calculate the inter-group spread rate. Secondly, we propose a computational model for the epidemic spread. We calculate the infection probability of groups in the upper layer network by using a continuous-time Markov chain (CTMC). We describe a dynamic evolution of the intra-group infection in the underlying network based on the mean field equation. And the number of infections in the population is calculated by integrating intra- and inter-group effects. Finally, we implement an epidemic spread simulation system to visualize the spread process. The experimental results show that the model can analyze the epidemic spread process more accurately. © 2023 IEEE.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Revisiting Cardinality Estimation in COTS RFID Systems 23

Revisiting Cardinality Estimation in COTS RFID Systems

引用

29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023

作者： Chen, Xingyu Liu, Jia Huang, He Sun, Yu-E Zhang, Xu Chen, Lijun State Key Laboratory for Novel Software Technology Nanjing University Nanjing60033100 China School of Computer Science and Technology Soochow University Soochow60010432 China School of Rail Transportation Soochow University Soochow60010432 China

ISBN: (纸本)9781450399906

With 30 billion RFID tags sold worldwide in 2021, a common basic functionality needed by RFID-enabled applications is cardinality estimation - - to quickly estimate the number of distinct tags in an RFID system. Although many advanced solutions have been proposed over the past decade, they suffer from one major limitation in practical use: they need to either modify the existing RFID standard or obtain MAC-layer information, both of which however cannot be supported by commercial off-the-shelf (COTS) devices. In this paper, we revisit the counting problem and propose a novel counting scheme called average time duration based counter (ATD) that quickly estimates the number of distinct tags in a standards-compliant manner. Compared with existing work, the competitive advantage of ATD is that it can be directly deployed on a COTS RFID system, with no need for any hardware modifications. In ATD, we found a new and measurable indicator - - the time duration between two adjacent singleton slots, which depends on the number of tags. Following this observation, we derive the theoretical relationship between the time indicator and the number of tags and then give the proof of the estimation as well as its parameter settings. Additionally, we propose a flag-flipping solution to address the overlapping problem in the multi-reader case. We implement ATD in a COTS RFID system with 1000 tags. Experimental results show that ATD is 4.2× faster than the baseline of tag inventory;the performance gain will be further increased in a larger RFID system. © 2023 ACM.

关键词： Radio frequency identification (RFID)

来源：评论

学校读者我要写书评

暂无评论

IBEET-AOK:ID-based encryption with equality test against off-line KGAs for cloud medical services

引用

Frontiers of computer science 2021年第6期15卷 187-189页

作者： Yan XU Ming WANG Hong ZHONG Sheng ZHONG School of Computer Science and Technology Anhui UniversityHefei 230601China State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023China

1 Introduction With the rapid development of cloud computing,more and more data are stored in cloud servers as cyphertexts for storage[1,2].However,it faces enormous challenges regarding ciphertext *** example,in the cloud medical services,authorized medical institutions(AMIs)need analyze medical records to figure out gender and age information on patients with the same disease.

关键词： services cloud analysis.

来源：评论

学校读者我要写书评

暂无评论

Covert Communication in Underlay Multi-Antenna Cognitive Radio Networks

引用

IEEE Transactions on Cognitive Communications and Networking 2025年第3期11卷 1493-1507页

作者： Fan, Hongbin Yang, Weiwei Shi, Hui Pan, Gaofeng Si, Jiangbo Wang, Yutao Rong, Chuanzhen Army Engineering University of PLA College of Communications Engineering Nanjing210007 China Xiangnan University College of Computer and Artificial Intelligence Chenzhou423000 China Guilin University of Electronic Technology Guangxi Key Laboratory of Trusted Software Guilin541004 China Beijing Institute of Technology School of Cyberspace Science and Technology Beijing100081 China Xidian University State Key Laboratory of Integrated Services Networks Xi’an710100 China

In this paper, we investigated a multi-antenna covert communication in underlay cognitive radio networks (UCRNs), by considering both cases that Willie has the perfect and statistical channel state information (CSI) of the link from the secondary transmitter (ST) to the primary receiver (PR), respectively. Specifically, the optimal antenna of the secondary receiver (SR) is selected to receive the private information from ST, and then one of the remaining antennas is randomly selected to transmit jamming signals. The closed-form expressions of Willie’s detection error probability, the average minimum detection error probability, the transmission outage probability and the maximum effective covert rate under both cases are derived. The maximum effective covert rate is obtained by optimising the maximum jamming power of SR. The numerical results show that the combined effect of the maximum interference tolerance of PR and the maximum interference power of SR provides the positive effective covert rate between ST and SR. It is further found that the maximum effective covert rate between ST and SR when Willie knows the perfect CSI of the ST-SR link is greater than that when Willie only knows the statistical CSI of the ST-SR link. © 2015 IEEE.

关键词： Jamming

来源：评论

学校读者我要写书评

暂无评论

HYBRID DIRECTIONAL GRAPH NEURAL NETWORK FOR MOLECULES 12

HYBRID DIRECTIONAL GRAPH NEURAL NETWORK FOR MOLECULES

引用

12th International Conference on Learning Representations, ICLR 2024

作者： An, Junyi Qu, Chao Zhou, Zhipeng Cao, Fenglei Xu, Yinghui Qi, Yuan Shen, Furao State Key Laboratory for Novel Software Technology Nanjing University China Co. Ltd. China Shanghai Academy of Artificial Intelligence for Science China Institute Fudan University China

Equivariant message passing neural networks have emerged as the prevailing approach for predicting chemical properties of molecules due to their ability to leverage translation and rotation symmetries, resulting in a strong inductive bias. However, the equivariant operations in each layer can impose excessive constraints on the function form and network flexibility. To address these challenges, we introduce a novel network called the Hybrid Directional Graph Neural Network (HDGNN), which effectively combines strictly equivariant operations with learnable modules. We evaluate the performance of HDGNN on the QM9 dataset and the IS2RE dataset of OC20, demonstrating its state-of-the-art performance on several tasks and competitive performance on others. Our code is anonymously released on https://***/ajy112/HDGNN. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Molecules

来源：评论

学校读者我要写书评

暂无评论

Noise-Augmented Contrastive Learning for Sequential Recommendation 1

引用

24th International Conference on Web Information Systems Engineering, WISE 2023

作者： He, Kun Meng, Shunmei Li, Qianmu Liu, Xiao Beheshti, Amin Chi, Xiaoxiao Zhang, Xuyun School of Cyber Science and Engineering Nanjing University of Science and Technology Nanjing China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China School of Computing Macquarie University Sydney Australia

ISBN: (数字)9789819972548

ISBN: (纸本)9789819972531

Recently, contrastive learning has been widely used in the field of sequential recommendation to solve the data sparsity problem. CL4Rec augments data through simple random crop, mask, and reorder, while DuoRec proposes a model-level data augmentation method. However, these methods do not take into account the issue of noisy data in sequential recommendation, such as false clicks during browsing. The noise may lead to poor representations of learned sequences and negatively affect the augmented data. Current sequential recommendation methods tend to learn the user’s intention from their original sequences, but these methods have certain limitations as the user’s intention for the next interaction may change. Based on the above observations, we propose Noise-augmented Contrastive Learning for Sequential Recommendation (NCL4Rec). Our NCL4Rec proposes sequential noise probability-guided data augmentation. We introduce supervised noise recognition during training instead of obtaining it from original sequences. Moreover, we design positive and negative augmentations of the sequence and design unique noise loss function to train them. Through experiments, it is verified that our NCL4Rec consistently outperforms the current state-of-the-art models. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Contrastive Learning Sequential Recommendation

来源：评论

学校读者我要写书评

暂无评论

Checking Causal Consistency of MongoDB

引用

Journal of computer science & technology 2022年第1期37卷 128-146页

作者： Hong-Rong Ouyang Heng-Feng Wei Hai-Xiang Li An-Qun Pan Yu Huang State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023China Software Institute Nanjing UniversityNanjing 210093China Tencent Distributed SQL Team of Technology and Engineering Group of Tencent Tencent Inc.Shenzhen 518054China

MongoDB is one of the first commercial distributed databases that support causal *** implementation of causal consistency combines several research ideas for achieving scalability,fault tolerance,and *** its inherent complexity,a natural question arises:"Has MongoDB correctly implemented causal consistency as it claimed?"To address this concern,the Jepsen team has conducted black-box testing of ***,this Jepsen testing has several drawbacks in terms of specification,test case generation,implementation of causal consistency checking algorithms,and testing scenarios,which undermine the credibility of its *** this work,we propose a more thorough design of Jepsen testing of causal consistency of ***,we fully implement the causal consistency checking algorithms proposed by Bouajjani et *** test MongoDB against three well-known variants of causal consistency,namely CC,CCv,and CM,under various scenarios including node failures,data movement,and network *** addition,we develop formal specifications of causal consistency and their checking algorithms in TLA^(+),and verify them using the TLC model *** also explain how TLA^(+) specification can be related to Jepsen testing.

关键词： MongoDB casual consistency Jepsen consistency checking TLA^(+)

来源：评论

学校读者我要写书评

暂无评论

Training Deep Neural Networks with Virtual Smoothing Classes 39

Training Deep Neural Networks with Virtual Smoothing Classes

引用

39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Zhou, Zhiyang Wei, Siwei Zhang, Xudong Dou, Wensheng Qu, Muzi Cai, Yan Key Laboratory of System Software Chinese Academy of Sciences State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China University of Chinese Academy of Sciences Beijing China Nanjing Institute of Software Technology University of Chinese Academy of Sciences Nanjing China

ISBN: (纸本)157735897X

Learning with softmax cross-entropy on one-hot labels often leads to overconfidence on the correct class. While label smoothing regulates this overconfidence by redistributing some confidence from the correct class to other incorrect classes, it compromises the representation in the logits about the similarity between samples of different classes and may hurt calibration if higher confidence is required for high accuracy. To overcome these limitations, we propose a Virtual Smoothing (VS) label that redistributes certain confidence from the correct class to additional VS classes to regularize overconfidence. In VS labels, the VS class nodes act as adversaries to the original class nodes, enforcing regularization by clustering samples across all classes. The zero confidence assigned to each incorrect class also allows the incorrect logits to be different from each other without erasing information about sample similarities. The prediction probability can still approach 1 when applying softmax to the logits of the original real classes, which avoids harming but consistently improves calibration. Experiments show that VS labels consistently improve accuracy and calibration while providing better logits for improved knowledge distillation. Additionally, VS labels exhibit effectiveness in improving adversarial training, robust distillation, and out-of-distribution detection. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Online Optimization of Offloading Video Analytics Tasks to Multiple Edges for Accuracy Maximization

Online Optimization of Offloading Video Analytics Tasks to M...

引用

2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Liang, Yu Zhang, Sheng Wu, Jie School of Computer and Electronic Information School of Artificial Intelligence Nanjing Normal University China State Key Laboratory for Novel Software Technology Nanjing University China Center for Networked Computing Temple University United States

ISBN: (纸本)9798350368741

Real-time video analytics (VA) presents challenges due to its computational intensity and latency sensitivity, especially when processed on mobile devices with limited local resources. We propose to offload VA tasks to edge servers with diverse computational capabilities. We present a "detect + track" approach with on-device object tracking and edge-assisted object detection. We formulate a long-term nonlinear integer programming to maximize the overall accuracy within detection frequency and latency constraints. We then design a queue-based online optimization algorithm to solve it: relax the original problem from the integer domain to the real domain, then employ a queue-based adaptation and randomized rounding strategy. Via rigorous proof, both dynamic regret regarding detection accuracy and the real-time requirement are ensured. Evaluation results also demonstrate the effectiveness of our approach. © 2025 IEEE.

关键词： online optimization resource allocation Video analytics

来源：评论

学校读者我要写书评

暂无评论

Multiresolution and multimaterial topology optimization of fail-safe structures under B-spline spaces

引用

Frontiers of Mechanical Engineering 2023年第4期18卷 149-163页

作者： Yingjun WANG Zhenbiao GUO Jianghong YANG Xinqing LI National Engineering Research Center of Novel Equipment for Polymer Processing South China University of TechnologyGuangzhou 510641China The Key Laboratory of Polymer Processing Engineering of the Ministry of Education South China University of TechnologyGuangzhou 510641China Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing South China University of TechnologyGuangzhou 510641China State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan 430074China

This study proposes a B-spline-based multiresolution and multimaterial topology optimization(TO)design method for fail-safe structures(FSSs),aiming to achieve efficient and lightweight structural design while ensuring safety and facilitating the postprocessing of topological *** approach involves constructing a multimaterial interpolation model based on an ordered solid isotropic material with penalization(ordered-SIMP)that incorporates failsafe *** reduce the computational burden of finite element analysis,we adopt a much coarser analysis mesh and finer density mesh to discretize the design domain,in which the density field is described by the B-spline *** B-spline can efficiently and accurately convert optimized FSSs into computer-aided design *** 2D and 3D numerical examples demonstrate the significantly enhanced computational efficiency of the proposed method compared with the traditional SIMP approach,and the multimaterial TO provides a superior structural design scheme for ***,the postprocessing procedures are significantly streamlined.

关键词： multiresolution multimaterial topology optimization fail-safe structure B-spline

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：