Proceedings of the 5th International Conference on Computer Science and Application Engineering最新文献_第2页

QoE-Fairness Tradeoff Scheme for Dynamic Spectrum Allocation Based on Deep Reinforcement Learning 基于深度强化学习的动态频谱分配qos -公平性权衡方案

Proceedings of the 5th International Conference on Computer Science and Application Engineering Pub Date : 2021-10-19 DOI: 10.1145/3487075.3487137

Le Tong, Yangyi Chen, Xin Zhou, Yifu Sun

引用次数: 1

Investigation of Noise Immunity of Ultrawideband Pulse Radar Sensors on the Base of Single Chip 基于单片机的超宽带脉冲雷达传感器抗噪性研究

Proceedings of the 5th International Conference on Computer Science and Application Engineering Pub Date : 2021-10-19 DOI: 10.1145/3487075.3487105

A. Borzov, K. Likhoedenko, Grigory M. Seregin, V. B. Suchkov

引用次数: 1

CLASS: A Novel Method for Chinese Legal Judgments Summarization 第一类:中国法律判决摘要的新方法

Proceedings of the 5th International Conference on Computer Science and Application Engineering Pub Date : 2021-10-19 DOI: 10.1145/3487075.3487161

Dongjin Li, Ke Yang, Lijun Zhang, Dawei Yin, Dezhong Peng

引用次数: 4

The Comprehensive Influence of Network Structure, Heterogeneity and Dynamic Behavior on Network Virus Propagation 网络结构、异质性和动态行为对网络病毒传播的综合影响

Proceedings of the 5th International Conference on Computer Science and Application Engineering Pub Date : 2021-10-19 DOI: 10.1145/3487075.3487081

Ting Liu, Mengting Zhu, Xiang Xu, Xianqiang Zhu, Cheng Zhu

{"title":"The Comprehensive Influence of Network Structure, Heterogeneity and Dynamic Behavior on Network Virus Propagation","authors":"Ting Liu, Mengting Zhu, Xiang Xu, Xianqiang Zhu, Cheng Zhu","doi":"10.1145/3487075.3487081","DOIUrl":"https://doi.org/10.1145/3487075.3487081","url":null,"abstract":"There are two shortcomings in current research on network virus propagation. One is that all virus propagation models assume that the virus can only spread by infecting neighbor nodes. The other is that infection rate is set by a single factor, ignoring important structural information and behavior information of the network. To address these problems, we take the static structure characteristics of the network, dynamic behavior, and heterogeneity into account, and analyze the impact of the three elements on the infection rate. In the actual process of virus propagation, it is not always preferred to infect neighbor nodes. Through our research, we found that the network based on the three elements hides a propagation mechanism with wormhole effect. There is a hidden effective distance between any two nodes. When the susceptible nodes have a shorter effective distance from the source of infection, the infection rate will increase. The node with a shorter effective distance from the source of infection will be preferentially infected. The 'jumping' virus propagation with wormhole effect is presented on the whole network. Based on the classic SIR model, we propose the SIR-SHB model.","PeriodicalId":354966,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121927310","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

An IVIS Typical Scene Generation Algorithm Based on Traffic Big Data 基于交通大数据的IVIS典型场景生成算法

Proceedings of the 5th International Conference on Computer Science and Application Engineering Pub Date : 2021-10-19 DOI: 10.1145/3487075.3487190

Xianghe Wang, Jianming Hu

{"title":"An IVIS Typical Scene Generation Algorithm Based on Traffic Big Data","authors":"Xianghe Wang, Jianming Hu","doi":"10.1145/3487075.3487190","DOIUrl":"https://doi.org/10.1145/3487075.3487190","url":null,"abstract":"With the increasing development of automatic driving technology, the construction of virtual simulation scenes libraries for automatic driving vehicles, as well as the optimization of coverage of functions and redundancies based on the current scenes libraries, has become a problem that needs to be solved in process of the establishing the Intelligent Vehicle-Infrastructure System (IVIS) test and evaluation system, especially facing the uncountable inexhaustible library of actual traffic scenes. The construction of a standardized general test scene library covering typical scene applications, to provide a complete closed loop for automated driving vehicle testing also becomes a necessity. Based on the traffic big data, this paper takes the intelligent vehicle road system IVIS as the background, and aims to use scene essential factors, which are indecomposable factors obtained by scene decomposition, to describe the traffic scenes data, with feature extraction algorithm notion of unsupervised learning and nonlinear dimensionality reduction as a reference. Choosing traffic cell modelling, this paper adopts the idea of essential factors as the core and raises a vectorization process of scenes data as a foundation of subsequent research of the generation algorithms. On the basis of primitive scene decomposition, two core goals are set: study the typical test scenes of IVIS High-fidelity and flexible reconstruction technology and research on the scalable and easy-to-test generation technology of IVIS extreme test scenes. With scene vectorization process as the fundament, this paper attempts to select and optimize a suitable clustering algorithm, to use an improved density clustering algorithm called OIR-DBSCAN, to generate IVIS typical scenes, and accordingly ensure the generalizability and timeliness of the IVIS test.","PeriodicalId":354966,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129817394","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

SSD Target Detection Algorithm Based on Multi-Scale Fusion and Attention 基于多尺度融合和关注的SSD目标检测算法

Proceedings of the 5th International Conference on Computer Science and Application Engineering Pub Date : 2021-10-19 DOI: 10.1145/3487075.3487087

Chengyang Jin, Lei Li, Mengting Li, Yijian Pei

引用次数: 0

A DQN-based Internet Financial Fraud Transaction Detection Method 基于dqn的互联网金融欺诈交易检测方法

Proceedings of the 5th International Conference on Computer Science and Application Engineering Pub Date : 2021-10-19 DOI: 10.1145/3487075.3487136

Xiaoguo Wang, Zeguo Wan, Yin Zhang

引用次数: 0

Smart Data Analysis and Data Governance 智能数据分析和数据治理

Proceedings of the 5th International Conference on Computer Science and Application Engineering Pub Date : 2021-10-19 DOI: 10.1145/3487075.3487112

Yunzhong Feng, Xiaohua Feng

引用次数: 0

Health Evaluation System of National Higher Education Based on Improved Entropy Weight Method Combined with GE Matrix 基于改进熵权法和GE矩阵的国家高等教育健康评价体系

Proceedings of the 5th International Conference on Computer Science and Application Engineering Pub Date : 2021-10-19 DOI: 10.1145/3487075.3487096

Boshi Liu, Zhengyang Li

{"title":"Health Evaluation System of National Higher Education Based on Improved Entropy Weight Method Combined with GE Matrix","authors":"Boshi Liu, Zhengyang Li","doi":"10.1145/3487075.3487096","DOIUrl":"https://doi.org/10.1145/3487075.3487096","url":null,"abstract":"In order to measure whether a country's higher education system is healthy and sustainable, the higher education system (hereinafter referred to as HES) is divided into three aspects: input, environment, and output. These three aspects are analyzed and refined respectively, which are used as indicators to quantify the HES and establish the evaluation framework of HES. Based on the entropy weight method improved by normalizing data collected from various countries of the world, the weight of three aspects and the scores of the health degree and sustainability of HES can be determined. Finally, after integrating results into GE matrix, a system is established to measure the health status of any country's HES. Based on the National Higher Education Evaluation System (hereinafter referred to as NHEES) established in this paper, further discussion is made to analyze and verify the effectiveness of the system. The application of the system can evaluate the health status of higher education in any country of the world, make relevant decisions and innovations to specific countries.","PeriodicalId":354966,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132825442","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

Land Information Extraction Based on Multi-temporal Remote Sensing Spectrum Character in Saline Alkali land Area of Jilin-Qian'an County 基于多时相遥感光谱特征的吉林省-迁安县盐碱地土地信息提取

Proceedings of the 5th International Conference on Computer Science and Application Engineering Pub Date : 2021-10-19 DOI: 10.1145/3487075.3487168

Bin Cheng

{"title":"Land Information Extraction Based on Multi-temporal Remote Sensing Spectrum Character in Saline Alkali land Area of Jilin-Qian'an County","authors":"Bin Cheng","doi":"10.1145/3487075.3487168","DOIUrl":"https://doi.org/10.1145/3487075.3487168","url":null,"abstract":"In this paper, the typical saline-alkali soil in the western Songnen Plain is taken as the study area, and the spectral information of multi-temporal remote sensing images is extracted the spectral characteristics of various features in different months, and the classification is conducted according to the spectral curve characteristics of various features in different periods. The method is that the decision tree classification algorithm based on multi-temporal spectrum and phenological characteristics can effectively integrate multi-temporal and multi-spectral information, so as to overcome the defect of single-temporal image classification, and judge dry and paddy fields, light, moderate, severe saline alkali soil, alkali lake and other ground objects. The overall classification accuracy of target features is 76%, and the Kappa coefficient is 0.82. Among them, the classification effect is better for those with heavy saline-alkali soil, light to moderate saline- alkali soil, farmland (dry and paddy fields) and lakes. In the case of limited information in research area, we can get better classification results using spectrum character in multi-time image.","PeriodicalId":354966,"journal":{"name":"Proceedings of the 5th International Conference on Computer Science and Application Engineering","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122172291","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