Proceedings of the 4th International Conference on Advanced Information Science and System最新文献_第4页

Interdisciplinary Attribute Evaluation Of Postgraduate Supervisors In Beijing University of Technology 北京工业大学研究生导师跨学科属性评价

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574485

Zhiyuan Ge, Fei Wang, Rui Hua

引用次数: 0

Research on site laboratory data based on isolation forest and canonical correlation analysis 基于隔离林和典型相关分析的现场实验室数据研究

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574521

Chaohui Xia

引用次数: 0

Graph Neural Network Recommendation Method Based on User Behavior 基于用户行为的图神经网络推荐方法

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574487

Fei He, Wei Zhang, Na Zhan, Xi Wang, Jing Li

{"title":"Graph Neural Network Recommendation Method Based on User Behavior","authors":"Fei He, Wei Zhang, Na Zhan, Xi Wang, Jing Li","doi":"10.1145/3573834.3574487","DOIUrl":"https://doi.org/10.1145/3573834.3574487","url":null,"abstract":"In recent years, the recommendation field has gradually started to combine GNN-like approaches to address the challenges. The Neural Graph Collaborative Filtering (NGCF) framework has made a preliminary attempt to extract structural knowledge in model-based collaborative filtering based on graph convolution with message passing mechanisms, opening up new research possibilities. However, the NGCF framework does not consider the semantic information in the topology and only constructs a single heterogeneous graph. In our work, we suggest explicit semantic encoding of edges for different user behaviors and propose a Heterogeneous Graph Convolution Collaborative Filtering (HGCCF) framework combined with message propagation mechanism, which can mine richer collaborative information and effectively alleviate the sparsity problem of bipartite graph and enhance the cold start capability. Furthermore, we reduce the computational effort through compressing the initial embedding vector and sharing parameters in the message passing. Our Top-N recommendation experiments on pre-processed real e-commerce data from Alibaba verify that HGCCF has higher recommendation accuracy and the ability to cope with cold starts. In addition, we also design hyperparametric experiments of HGCCF to explore the effect of HGCCF on performance with different propagation learning layers, different normalization coefficients prui, and different output dimensions of embedding propagation layers.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117049964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

BERT Model Compression With Decoupled Knowledge Distillation And Representation Learning 解耦知识蒸馏和表示学习的BERT模型压缩

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574482

Linna Zhang, Yuehui Chen, Yi Cao, Ya-ou Zhao

引用次数: 0

Rapid face detection in complex environments based on the improved RetinaFace 基于改进RetinaFace的复杂环境下快速人脸检测

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574552

Jian Hu, Jin Hou, Yongkeng Chen, W. Li, Dekai Shi, Jie Yi, Xuan Huang

{"title":"Rapid face detection in complex environments based on the improved RetinaFace","authors":"Jian Hu, Jin Hou, Yongkeng Chen, W. Li, Dekai Shi, Jie Yi, Xuan Huang","doi":"10.1145/3573834.3574552","DOIUrl":"https://doi.org/10.1145/3573834.3574552","url":null,"abstract":"Now the epidemic prevention and control has been continuing, frequent removal and wearing of masks in railway stations, subway stations and places such as commuting to and from work are prone to the spread of the virus, and face detection is an important part of the face recognition system. Aiming at the complex environmental factors such as partial occlusion, angle change, light intensity and face blur in face detection in these places, This paper improves the detection accuracy by improving the RetinaFace algorithm. Firstly, the lightweight GhostNet network is introduced to substitute the former MobileNet0.25 backbone network of RetinaFace, and a lightweight model improved version of RetinaFace is obtained, which not only ensures that the model is smaller but also ensures the speed of face detection; In addition, The efficient ECA channel attention mechanism is fused in the enhanced feature extraction network of the model to further enhance the detection performance of small face samples in complex environments. Finally, the simulation conclusion show that compared with the former RetinaFace algorithm, the detection performance of this method in the verification set of different levels of the reconstructed WIDER FACE dataset reaches 93.4% (Easy), 90.8% (Medium) and 77.1% (Hard), which is improved by 2.7 percentage points, 2.2 percentage points and 5 percentage points, respectively. It can be seen that after the introduction of GhostNet network and ECA attention mechanism, the recognition accuracy of faces in complex environments is further improved and network performance is improved.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114222079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Design and Practice of Linux Kernel Based Experiments for Operating System Course 操作系统课程中基于Linux内核的实验设计与实践

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574474

Wei-Hong Xu, Xiaoyang Wang, Haoyu Mao, Yongkun Li

{"title":"The Design and Practice of Linux Kernel Based Experiments for Operating System Course","authors":"Wei-Hong Xu, Xiaoyang Wang, Haoyu Mao, Yongkun Li","doi":"10.1145/3573834.3574474","DOIUrl":"https://doi.org/10.1145/3573834.3574474","url":null,"abstract":"This paper proposes an experimental teaching scheme of operating system aiming at cultivating students' system ability and innovation ability. Based on the new version of the Linux kernel, the teaching group designed an open and layered experimental scheme. The experimental scheme content includes four experiments: introduction experiment, system calls, memory allocation and statistics, and file system. Each experiment is designed in layers, including basic parts and optional parts, of which the optional part gives students a lot of freedom for self-exploration. In addition, the teaching group carried out teaching practice and summary in the aspects of experiment organization and experiment management. After three years of teaching practice, the experimental scheme improves the advanced, innovative and challenging degree of operating system course practice, and better solves problems such as the outdate experimental system. The teaching results show that this experimental scheme can effectively improve students' understanding of operating system related concepts, enhance students' system ability and innovation ability, and achieve good results.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126811211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent Connected Vehicles Cybersecurity Vulnerability Rating Methodology Based on Multiple Factors 基于多因素的智能网联汽车网络安全漏洞评级方法

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574528

Chen-fei Yang, Guo Zhen, Chenya Bian, Yuqiao Ning, Shihao Xue

引用次数: 0

Research on Time Synchronization and Routing Maintenance for Narrowband Ad Hoc Networks 窄带Ad Hoc网络时间同步与路由维护研究

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574483

Hanqiang Deng, Jian Huang, Quan Liu

引用次数: 0

AIS-Based Vessel Traffic Flow Prediction Using Combined EMD-LSTM Method 基于ais的EMD-LSTM联合船舶交通流预测

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574517

Yingchun Huan, Xiaoyong Kang, Zhenjie Zhang, Qi Zhang, Yuju Wang, Yafen Wang

{"title":"AIS-Based Vessel Traffic Flow Prediction Using Combined EMD-LSTM Method","authors":"Yingchun Huan, Xiaoyong Kang, Zhenjie Zhang, Qi Zhang, Yuju Wang, Yafen Wang","doi":"10.1145/3573834.3574517","DOIUrl":"https://doi.org/10.1145/3573834.3574517","url":null,"abstract":"The accurate prediction of vessel traffic flow is an essential problem of marine intelligent transportation systems. Existing approaches for predicting vessel traffic flow focus primarily on the trend of historical traffic flow, ignoring the influence of randomness in traffic flow on the prediction of vessel traffic flow. To achieve high precision vessel traffic flow prediction, this study introduced a vessel traffic flow prediction approach based on empirical mode decomposition (EMD) and long-short term memory network (LSTM). Specifically, this paper firstly extracts the traffic flow of vessel traffic by using automatic identification system (AIS); Secondly, in an attempt to reduce the influence of randomness in traffic flow prediction approach, in this study, the vessel traffic flow is decomposed using the EMD algorithm and the Intrinsic mode functions (IMF) of the change in vessel traffic flow are extracted; Then, the LSTM approach is applied to predict multiple IMFs of vessel traffic flow, and the results are superimposed to obtain accurate vessel traffic flow results; Finally, in this paper, we conduct experiments on a huge quantity of AIS data, and the experimental results show the superior performance of the proposed method in vessel traffic flow prediction.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133062577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on IOT online monitoring system based on efficient utilization pathway of mine water 基于矿井水高效利用路径的物联网在线监测系统研究

Proceedings of the 4th International Conference on Advanced Information Science and System Pub Date : 2022-11-25 DOI: 10.1145/3573834.3574479

Lei Bo, Zihang Zhang, Yang Liu, Zecheng Li

{"title":"Research on IOT online monitoring system based on efficient utilization pathway of mine water","authors":"Lei Bo, Zihang Zhang, Yang Liu, Zecheng Li","doi":"10.1145/3573834.3574479","DOIUrl":"https://doi.org/10.1145/3573834.3574479","url":null,"abstract":"There are problems such as communication lag and data silo in dynamic processing and reuse of mine water resource utilization. In this paper, the framework of mine water online monitoring IOT system is researched for the real situation of mine water resource utilization, and the collaborative scheduling model and algorithm of mine water multi-subsystem is constructed based on the characteristics of rapid data concentration under this framework. For the mine water treatment process on the processing unit water quality information can not be obtained in a timely manner and scheduling timeliness and other problems, based on the Internet of Things to achieve intelligent perception of mine water quality data, equipment status information, the establishment of a full sense database, multi-sensor data fusion of mine water quality monitoring three-dimensional network, data-driven to enhance the underground - ground collaborative scheduling of rapid and accurate response to changes in water supply demand; the introduction of Cloud service platform to strengthen the performance analysis and online prediction of mine water dispatching system, enhance the decision-making capability of mine water dispatching system, improve the comprehensive utilization rate of mine water, and realize the status monitoring, performance prediction and optimal control of mine water dispatching system.","PeriodicalId":345434,"journal":{"name":"Proceedings of the 4th International Conference on Advanced Information Science and System","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115062076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0