2022 International Seminar on Computer Science and Engineering Technology (SCSET)最新文献

Research and Prospect of 3D Virtual Display Technology of Clothing 服装三维虚拟显示技术的研究与展望

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00054

Xiwen Shao

引用次数: 0

Heterogeneous Information Network enhanced Academic Paper Recommendation 异构信息网络增强学术论文推荐

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00067

Junchao Wu, Baisong Liu, Xiaofeng Shen

{"title":"Heterogeneous Information Network enhanced Academic Paper Recommendation","authors":"Junchao Wu, Baisong Liu, Xiaofeng Shen","doi":"10.1109/scset55041.2022.00067","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00067","url":null,"abstract":"Academic paper recommender (APR) systems that assist researchers in solving the information overload problem have attracted lots of attention. Recently, many works have been done to improve APR with heterogeneous information network (HIN). However, these works plainly depend on graph embedding to generate recommendations and achieve unsatisfactory performance due to the neglect of high-order paper connectivity in the HIN and complex interactions between the user and academic papers. This paper proposes a new algorithm named Heterogeneous Information Network enhanced Academic Paper Recommendation (HIN-APR) to address the above problems. Firstly, based on the message-passing architecture of GNN, designing a novel heterogeneous graph neural network including dual-level attention is to learn the paper’s high-order feature in HIN. Then, the high-order feature was integrated into a new recommendation framework based on convolution neural network (CNN) to model the complex interactions and predict matching score between users and papers. Experimental results on citeulike-a and citeulike-t show that our proposed approach outperforms compared with baseline methods.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122925800","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

Botnet Detection with Deep Neural Networks Using Feature Fusion 基于特征融合的深度神经网络僵尸网络检测

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00066

Chengjie Li, Yunchun Zhang, Wangwang Wang, Zikun Liao, Fan Feng

引用次数: 1

Extrusion force calculation and structure optimization of new flat-cone die 新型平锥模具的挤压力计算及结构优化

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00088

Hongbo Dong, X. Sun, Rui Wang, Shuai Li

引用次数: 0

The current situation and development of Large Mass Weights value transfer 大质量权重值传递的现状与发展

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00079

Lili Zhang, Yuan Li, Pengfei Sun

引用次数: 0

Verification, calibration and application of electronic balances 电子天平的检定、校正及应用

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00096

Yuan Li, Lili Zhang, Hongzheng Xie

引用次数: 0

A Machine Learning based Intelligent Propagation Model for RSRP prediction 基于机器学习的RSRP预测智能传播模型

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00010

Sai Wu, Baojuan Ma, Tiantian Ye, Jianming Zhang, Weiping Shao, Weijun Zheng

{"title":"A Machine Learning based Intelligent Propagation Model for RSRP prediction","authors":"Sai Wu, Baojuan Ma, Tiantian Ye, Jianming Zhang, Weiping Shao, Weijun Zheng","doi":"10.1109/scset55041.2022.00010","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00010","url":null,"abstract":"Wireless propagation model modeling is of great significance for system design and base station deployment of 5G network-Traditional models are limited to a variety of propagation environments.A deterministic model based on ray tracing requires a great deal of computation.Therefore, we propose a deep learning-based fitting method.However, when the deep learning model is used for wireless transmission model modeling, it usually requires a lot of manual design features. In order to solve this problem, in the feature engineering stage, we proposed a feature generator based on the machine learning algorithm-Gradient Boosting Decision Tree to automatically characterize the combined features.Eight features of manual design based on HATA pathloss formula.In the model stage, an intelligent wireless propagation model based on BP neural network is established-Combined features, manual design features, original engineering parameters, geographic parameters and other data are used as inputs of neural networks for radio wave propagation model modeling and RSRP(Reference Signal Receiving Power) regression prediction.We quantitatively compare the performance of several machine learning algorithms in modeling wireless channels.Our results show that the overall performance of the deep neural network algorithm using the GBDT(Gradient Boosting Decison Tree) feature generator as auxiliary is better than other algorithms.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126202894","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

Exploration of computer vision and image processing technology based on OpenCV 基于OpenCV的计算机视觉与图像处理技术探索

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00042

Ling Bai, Tong Zhao, X. Xiu

引用次数: 1

Multi objective optimization of microgrid based on Improved Multi-objective Particle Swarm Optimization 基于改进多目标粒子群算法的微电网多目标优化

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00027

Yi Zeng, Hongcheng Zhao, Chuanping Liu, Silin Chen, Xinghong Hao, Xiaojiao Sun, Junjie Zhang

引用次数: 2

Environmental Sound Classification Algorithm Based on Adaptive Data Padding 基于自适应数据填充的环境声音分类算法

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI: 10.1109/scset55041.2022.00028

Wei Qin, Bo Yin

引用次数: 0