发布求助
文献互助 智能选刊 最新文献

2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)最新文献

筛选
英文 中文
Study on Breast Tumor Detection Based on Lasso-BP Neural Network 基于Lasso-BP神经网络的乳腺肿瘤检测研究
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2020-06-01 DOI: 10.1109/ICAICA50127.2020.9182487
Yanrong Zhang, Lingyue Meng, Yan Liu, Jiayuan Sun
{"title":"Study on Breast Tumor Detection Based on Lasso-BP Neural Network","authors":"Yanrong Zhang, Lingyue Meng, Yan Liu, Jiayuan Sun","doi":"10.1109/ICAICA50127.2020.9182487","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182487","url":null,"abstract":"In recent years, breast cancer, as one of the most threatening tumors for women's health in China, affects women's health with a growth rate of 2% every year. The Lasso algorithm was used to screen the characteristics of breast cancer data, and then the BP neural network was used to classify the 9 breast cancer data determination factors in the UCI dataset and the remaining 8 determination factors after screening. The experimental results showed that: In the detection of breast cancer based on BP neural network, the remaining 8 breast cancer data features are used to classify benign and malignant tumors, and the classification accuracy rate is higher than that of the original 9 breast cancer data features.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132487224","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 Trusted Identification of Blockchain Uploaded Data 区块链上传数据可信识别研究
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2020-06-01 DOI: 10.1109/ICAICA50127.2020.9181948
Shuaili Wang, Xuejun Yu
{"title":"Research on Trusted Identification of Blockchain Uploaded Data","authors":"Shuaili Wang, Xuejun Yu","doi":"10.1109/ICAICA50127.2020.9181948","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181948","url":null,"abstract":"Due to its decentralized feature, blockchain system makes it difficult to connect blockchain with the Internet, which makes the application environment of blockchain limited, especially when the smart contract requires external data trigger. Among the existing solutions, many of them do not consider the security and credibility of the Blockchain upload data. This is contrary to the original intention of the blockchain system. To solve this problem, this paper proposes a trusted data recognition scheme based on machine learning model. This makes the data on the chain more secure and reliable.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"31 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132870970","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: 2
Research on FRUC Algorithm Based on Improved U-Net 基于改进U-Net的FRUC算法研究
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2020-06-01 DOI: 10.1109/ICAICA50127.2020.9182693
Qingqing Deng, Zhaohua Long
{"title":"Research on FRUC Algorithm Based on Improved U-Net","authors":"Qingqing Deng, Zhaohua Long","doi":"10.1109/ICAICA50127.2020.9182693","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182693","url":null,"abstract":"Frame rate up up-conversion(FRUC), as a video post-processing technology, is of great help in improving video quality. The widely used frame rate improvement technology is based on the motion-compensated frame interpolation (MCFI). Although this method significantly improves video jitter and blur, there will still be problems such as block effects and holes. The paper proposes an improved U-Net frame rate improvement method that combines the U-Net and the Residual Neural Network (ResNet). The ResNet structure can effectively solve the problems of information loss, gradient disappearance and explosion during transmission. Combining these two networks and predicting the interpolation frames of the video sequences, such interpolation frames are closer to the original frames, and the predicted interpolation frames are better and effectively avoid problems such as block effects and holes. Experiments show that the algorithm in this paper is superior to other FRUC algorithms in the PSNR value of the interpolated frame.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132172716","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
Cosine-grey Correlation Analysis Model Based on Combination Weighting and Its Application 基于组合加权的余弦-灰色关联分析模型及其应用
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2020-06-01 DOI: 10.1109/ICAICA50127.2020.9182404
Yin Pei, L. Yian
{"title":"Cosine-grey Correlation Analysis Model Based on Combination Weighting and Its Application","authors":"Yin Pei, L. Yian","doi":"10.1109/ICAICA50127.2020.9182404","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182404","url":null,"abstract":"Aiming at the problem that the traditional gray correlation model evaluation method has a single weight and the correlation degree is only related to distance, based on the existing improved methods, an evaluation method based on combined weighting-improved gray correlation is proposed. In order to increase the accuracy and credibility of the gray correlation, the proposed algorithm combines the improved methods of previous studies to dynamically determine the resolution coefficient, uses the improved entropy weight method and the coefficient of variation method to objectively weight the combination, combines traditional gray correlation analysis and cosine. Sorting method, comprehensively using multiple improvement methods to improve the gray correlation method. A case study of the correlation analysis of Wuxi's GDP and industry structure confirms that improving the model is feasible and effective.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128789065","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
Graphical Representation of Fourier Series from Fourier Transformation 傅里叶变换的傅里叶级数的图形表示
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2020-06-01 DOI: 10.1109/ICAICA50127.2020.9182503
Senxin Guo, Jialin Li, Zihan Ning
{"title":"Graphical Representation of Fourier Series from Fourier Transformation","authors":"Senxin Guo, Jialin Li, Zihan Ning","doi":"10.1109/ICAICA50127.2020.9182503","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182503","url":null,"abstract":"Understanding the derivation process from Fourier's number to Fourier transformation is an important part in the study of Fourier transformation. This paper uses the graphical representation method of mathematics subject knowledge, clarifies the connection between the knowledge points in the process of Fourier's transformation, chooses the appropriate kind of illustration, and represents the derivation process of the Fourier series by illustration, and achieves the effect of image specific and reduces the difficulty of understanding in learning.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126694080","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
Process Mining of Duplicate Tasks: A Systematic Literature Review 重复任务的过程挖掘:系统的文献综述
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2020-06-01 DOI: 10.1109/ICAICA50127.2020.9182667
Chenchen Duan, Qingjie Wei
{"title":"Process Mining of Duplicate Tasks: A Systematic Literature Review","authors":"Chenchen Duan, Qingjie Wei","doi":"10.1109/ICAICA50127.2020.9182667","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182667","url":null,"abstract":"Process mining improves and provides insights for business processes, which are information related to process execution. In general, process mining can be separated into three classes: process discovery, conformance checking and process enhancement. In order to simplify the process model, we make an assumption that both events in the log and tasks in the model have an injective relation in process mining, i.e., do not allow two tasks to share the same label (thus duplicates task). In addition, Duplicate tasks have some issues concerning the quality of process model discovered and the potential indeterminism in conformance checking. In this paper, we perform a systematic literature review of process discovery and conformance checking metrics for duplicate tasks. This review can: (1) provide a comprehensive review of the current work of duplicate tasks in process discovery and conformance checking; (2) help researchers choose proper process mining approach, tools, and metrics; (3) identify research opportunities in duplicate tasks.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126277975","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: 2
Study of a new type of movable non-avoidance stereo parking device 一种新型可移动无避让立体停车装置的研究
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2020-06-01 DOI: 10.1109/ICAICA50127.2020.9182471
Wenjie Zhang, Ruzhou Ye, Fangyan Dong
{"title":"Study of a new type of movable non-avoidance stereo parking device","authors":"Wenjie Zhang, Ruzhou Ye, Fangyan Dong","doi":"10.1109/ICAICA50127.2020.9182471","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182471","url":null,"abstract":"Aiming at the problem of parking difficulty, this paper mainly puts forward a new design scheme of three - dimensional garage without avoidance. On the basis of the existing no-avoidance stereo garage in the market, the advantages and disadvantages are analyzed, and the overall structure is improved and optimized. This design has higher universality, stability and economy.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122262226","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
Volatility Transmission in Chinese Trucking Markets: An Application Using BEKK, CCC and DCC-MGARCH Models 中国货车运输市场波动传导:基于BEKK、CCC和DCC-MGARCH模型的应用
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2020-06-01 DOI: 10.1109/ICAICA50127.2020.9182485
Wei Xiao, Chuan Xu, Hongling Liu, Xiaobo Liu
{"title":"Volatility Transmission in Chinese Trucking Markets: An Application Using BEKK, CCC and DCC-MGARCH Models","authors":"Wei Xiao, Chuan Xu, Hongling Liu, Xiaobo Liu","doi":"10.1109/ICAICA50127.2020.9182485","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182485","url":null,"abstract":"This paper aims at investigating whether volatility spillover effects exist among sub-segments in heavy truck trucking market of Southwest China based on trading data from online freight exchange (OFEX) platform, in which the sub-segments are classified by truck length, roughly as short bed sub-segment and long bed sub-segment. Model conditional correlations were modeled via the Multivariate Generalized Autoregressive Conditional Heteroskedasticity (MGARCH) model in the paper, followed by the analysis of volatility spillovers between sub-segments. Firstly, a Student's t distribution based BEKK (Baba, Engle, Kraft and Kroner) model is applied to analyzing the persistence effect as well as the volatility spillovers between sub-segments. Secondly, the change of interdependence degree between abovementioned markers is evaluated via the constant and dynamic conditional correlation models. We observed the constant long-term cross-volatility within the short bed sub-segment while multiple dynamic one-way volatility transmissions are observed, from the long bed sub-segment to the short bed sub-segment. In addition, an indication weight based on estimations of dynamic conditional correlation model is proposed to help marketing researchers to determine the weights of indices components when constructing trucking index in the future.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125707650","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
Timing System for the Heavy-Ion Accelerator Facility 重离子加速器设备计时系统
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2020-06-01 DOI: 10.1109/ICAICA50127.2020.9181879
Ge Liang, Zhang Wei, An Shi
{"title":"Timing System for the Heavy-Ion Accelerator Facility","authors":"Ge Liang, Zhang Wei, An Shi","doi":"10.1109/ICAICA50127.2020.9181879","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9181879","url":null,"abstract":"The timing system is an important part of the heavy-ion synchrotron. It controls the startup time of the power supply, radiofrequency and other equipment to synchronously accelerate the charged ion beam. The heavy-ion accelerator has high requirements for its timing accuracy, reliability, and stability. The design uses a new type of synchronization technology and a tree topology to increase the synchronization accuracy of the nodes to sub-nanoseconds. At the same time, it is easy to expand the number of nodes to thousands and extend the deployment range to several kilometers. TDC (Time-to-Digital Converter) is designed using a multi-phase clock interpolation method to improve the time resolution to 500ps. It reduces the failure rate of data transmission by marking the QoS level of the CM (Control Message) and adopting network protocols and algorithms. An open-source platform is used to monitor and log the entire system, providing a reliable source of data for equipment operation and fault diagnosis. Finally, through system testing and data analysis, the system and design unit meet the design requirements and highlight its overall performance.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121128349","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 application of improved particle swarm optimization in slab stacking problem 改进粒子群算法在板坯堆积问题中的应用
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) Pub Date : 2020-06-01 DOI: 10.1109/ICAICA50127.2020.9182682
Qiqi Zhang
{"title":"The application of improved particle swarm optimization in slab stacking problem","authors":"Qiqi Zhang","doi":"10.1109/ICAICA50127.2020.9182682","DOIUrl":"https://doi.org/10.1109/ICAICA50127.2020.9182682","url":null,"abstract":"This paper researches the problem of slab stacking, builds up a mathematical model with an objective of maximize the slab comprehensive matching degree, the stack utilization degree and the inventory balance degree jointly based on stack height limits constraints, slab delivery time constraints and stack dispersion constraints, etc. The PSO algorithm is applied and improved by evolution state assessment strategy in order to help the solution to jump out of the local optimal. The validity of the proposed solving algorithm is demonstrated by numerical simulation experiment from the production data in iron-steel enterprise.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116260409","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信