2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS)最新文献

Mobile Robot Path Planning Based on Improved Ant Colony Algorithm 基于改进蚁群算法的移动机器人路径规划

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) Pub Date : 2021-01-01 DOI: 10.1109/ACCTCS52002.2021.00050

Qinggang Su, Wangwang Yu, Jun Liu

引用次数: 29

Comparison of Multiple Machine Learning Models Based on Enterprise Revenue Forecasting 基于企业收入预测的多种机器学习模型的比较

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) Pub Date : 2021-01-01 DOI: 10.1109/ACCTCS52002.2021.00077

H. Lei, Huang Cailan

{"title":"Comparison of Multiple Machine Learning Models Based on Enterprise Revenue Forecasting","authors":"H. Lei, Huang Cailan","doi":"10.1109/ACCTCS52002.2021.00077","DOIUrl":"https://doi.org/10.1109/ACCTCS52002.2021.00077","url":null,"abstract":"Enterprise operating income is an important part of enterprise revenue. It is of great reference significance to realize the prediction of corporate income for corporate operating income management. However, the corporate income forecast process of most companies is time-consuming and error-prone because corporate revenue forecasts are calculated manually by hundred of financial analysts. Moreover, it is also difficult to forecast through traditional statistical methods because of the data noise that usually exists in such data, as well as the high dimensionality of the data. At the same time, the data set used in this paper is relatively small, so models such as neural networks with more strict data volume requirements are not suitable. To address the above problems, this paper proposes to use multiple models such as support vector machines to predict the business revenue data of enterprises on the basis of relatively controllable model complexity. And then, the prediction ability of the models is evaluated relatively reasonably using three indexes, mean absolute error (MAE), root mean square error (RMSE), and absolute error value (MAPE).","PeriodicalId":413774,"journal":{"name":"2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125915116","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: 6

Application of Support Vector Machines and Holt-winters Model in Local Finance Forecast 支持向量机与冬至模型在地方财政预测中的应用

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) Pub Date : 2021-01-01 DOI: 10.1109/ACCTCS52002.2021.00076

Jichang Chen

引用次数: 0

Integrated platform of science and technology service resources under big data environment 大数据环境下科技服务资源集成平台

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) Pub Date : 2021-01-01 DOI: 10.1109/ACCTCS52002.2021.00024

Xu Cheng, Zhao Weidong

{"title":"Integrated platform of science and technology service resources under big data environment","authors":"Xu Cheng, Zhao Weidong","doi":"10.1109/ACCTCS52002.2021.00024","DOIUrl":"https://doi.org/10.1109/ACCTCS52002.2021.00024","url":null,"abstract":"Under big data environment, the number of scientific and technological service resources has exploded, and users who need those services have an increasing demand in terms of service quantity and quality. In fact, the traditional methods of integration and query of service resources do not meet the needs of fast and complete services, also do not meet the needs of new technologies, such as big data at the technical level. Based on the big data environment, this paper analyzes the changes in the service functions of integrated technology service resources, studies the “smart” technology integration sharing platform, breaks the limitations of physical space, realizes the integration of technology service resources in different regions, and explores new integrated technology services. The way of resource integration enhances the spillover effect of scientific and technological resources, releases the potential value of resources, ensures the adequacy of scientific and technological service resources, improves scientific literacy and innovation capabilities, and promotes the development of science and technology.","PeriodicalId":413774,"journal":{"name":"2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS)","volume":"29 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114095723","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: 1

WNTC: An Efficient Weight News Text Classification Model WNTC:一种高效权重新闻文本分类模型

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) Pub Date : 2021-01-01 DOI: 10.1109/ACCTCS52002.2021.00061

Pei Yan, Hongxuan Li, Zhipeng Wang

引用次数: 1

TSGX: Defeating SGX Side Channel Attack with Support of TPM TSGX:在TPM的支持下击败SGX侧通道攻击

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) Pub Date : 2021-01-01 DOI: 10.1109/ACCTCS52002.2021.00046

Zhou Hongwei, Ke Zhipeng, Zhang Yuchen, Wu Dangyang, Yu Jinhui

引用次数: 3

Mobile medical system based on artificial intelligence technology 基于人工智能技术的移动医疗系统

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) Pub Date : 2021-01-01 DOI: 10.1109/ACCTCS52002.2021.00059

Xiaolei Zhong

引用次数: 0

A Network Asset Detection Scheme Based on Website Icon Intelligent Identification 一种基于网站图标智能识别的网络资产检测方案

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) Pub Date : 2021-01-01 DOI: 10.1109/ACCTCS52002.2021.00057

Guangjun Hu, Haiwei Li, Kun Li, Rui Wang

引用次数: 0

Research on Loop Closure Detection Method Based on ResNet 基于ResNet的闭环检测方法研究

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) Pub Date : 2021-01-01 DOI: 10.1109/ACCTCS52002.2021.00055

Shuhui Zhang, Zhiqiang Wang, Qing Zhu

引用次数: 1

Image super-resolution reconstruction algorithm based on channel shuffle 基于信道洗牌的图像超分辨率重建算法

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS) Pub Date : 2021-01-01 DOI: 10.1109/ACCTCS52002.2021.00051

Li Wang, Donoghi He

{"title":"Image super-resolution reconstruction algorithm based on channel shuffle","authors":"Li Wang, Donoghi He","doi":"10.1109/ACCTCS52002.2021.00051","DOIUrl":"https://doi.org/10.1109/ACCTCS52002.2021.00051","url":null,"abstract":"Convolutional neural networks have achieved good results in single image super-resolution. Nowadays, image super-resolution model based on deep learning are gradually becoming lightweight, and lightweight networks use grouped convolution stacking, which hinders the channel Information flow between the two, and weaken the feature representation. Aiming at the existing problems of the existing image super-resolution lightweight model, this paper proposes a super-resolution reconstruction algorithm based on channel shuffle. This paper introduces a channel shuffle mechanism after grouped convolution. Channel shuffle disrupts the grouping order and allows group convolution to obtain input data from different groups, which allows the fusion of feature information between different channels. At the same time, this paper also introduces the dynamic activation function DY-RELV-B, which enhances the feature representation ability of the network model and further enhances the image reconstruction effect. Experimental results show that compared with LapSRN, VDSR, traditional interpolation method, etc., the method in this paper is superior to other methods in PSNR on x2 scale and x4 scale.","PeriodicalId":413774,"journal":{"name":"2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132176079","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: 1