发布求助
文献互助 智能选刊 最新文献

2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)最新文献

筛选
英文 中文
Relationship between Timer Resolution and Synchronization Message Repetition Frequency in a Synchronized Wireless Sensor Network 同步无线传感器网络中定时器分辨率与同步消息重复频率的关系
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00105
G. Coviello, G. Avitabile, A. Florio, C. Talarico, Janet Roveda
{"title":"Relationship between Timer Resolution and Synchronization Message Repetition Frequency in a Synchronized Wireless Sensor Network","authors":"G. Coviello, G. Avitabile, A. Florio, C. Talarico, Janet Roveda","doi":"10.1109/ICCEAI52939.2021.00105","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00105","url":null,"abstract":"The synchronization between wireless sensor nodes represents a big issue in all low-cost systems in which each node performs measurements using its own sensors and stores locally the measured values. In this paper, we will analyze in detail the implementation limits concerning the simplest synchronization strategy that can be implemented for Wireless Sensor Networks (WSNs). In fact, we consider a type of star network in which a master periodically sends a synchronization message to the slaves belonging to its own subnet. The considerations made are referred to commercial low-cost microprocessors and System-on-Chips (SoCs). Solutions too simplistic lead to large synchronization errors or excessive power consumption; correct approaches require continuous calibration by the slaves and are therefore impractical.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116665347","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
Multi-label classification of heart sound signals 心音信号的多标签分类
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00071
L. Zhiming, Miao Sheng
{"title":"Multi-label classification of heart sound signals","authors":"L. Zhiming, Miao Sheng","doi":"10.1109/ICCEAI52939.2021.00071","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00071","url":null,"abstract":"In recent years, with the development of heart sound classification technology, it has played an important role in the detection of congenital heart disease. However, in the traditional heart sound classification tasks, they are all two classification tasks. However, the heart sound signals are actually collected from five different locations during the collection process. Before we classify the normal and abnormal heart sounds, we should carry out the multi-classification task of the mixed heart sound signals in the collection area. In this paper, Mel cepstrum coefficient and power spectral density are taken as data sets for machine learning. We are committed to finding the best classification results, so we set two different labels, one is the multi-classification task of the location of heart sound signal acquisition area, and the other is the two-classification task of normal and abnormal heart sound signals. The accuracy rate.recall rate and F1 rate of heart sound signal recognition after subarea can reach 92.92%, 91.56% and 94.04%, which provides reference for clinical heart sound classification.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128221469","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: 3
The Algorithm and Application of Fast Surface Slice and Color Acquisition for Color 3D Printing 彩色3D打印的快速表面切片和颜色采集算法及应用
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00042
Yang Xiao, Yi Yang, Yi Wang
{"title":"The Algorithm and Application of Fast Surface Slice and Color Acquisition for Color 3D Printing","authors":"Yang Xiao, Yi Yang, Yi Wang","doi":"10.1109/ICCEAI52939.2021.00042","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00042","url":null,"abstract":"The production of color 3D printing technology for large building decoration parts is much more efficient than artificial sculpture. But based on special requirements, the surface of the printed object can have color. And the current commonly used 3D printing technology printed objects is no color requirements. Therefore, the large building decoration color 3D printing needs to obtain the color information of the model surface. This paper proposes a fast slice and color acquisition algorithm for the 3D model, first converting the model surface triangle into triprisms with printing thickness to form the surface color area, then obtains the color information coordinate formula using the model triangle topology, and calculates the color information coordinates of adj acent pixels for color 3D printing. Experimental results show that the proposed algorithm achieves the desired purpose, high efficiency, good versatility and wide application.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128332329","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
Artificial Intelligence Brain 人工智能大脑
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00053
Lian Wang, Yuexue Xia
{"title":"Artificial Intelligence Brain","authors":"Lian Wang, Yuexue Xia","doi":"10.1109/ICCEAI52939.2021.00053","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00053","url":null,"abstract":"A computer-implemented method of generating a response based on a physical signal, a non-transitory memory and a system to implement the method is described, The method includes detecting a physical signal by an image sensor and a sound sensor; processing the detected physical signal by a corresponding first deep neural network; storing the processed signal as processed data in individual corresponding memory units; connecting the individual corresponding memory units with a second deep neural network to form one or more cognition units; generating, by the one more cognitions units, an expression, from a signal produced by the second deep neural network; and converting, by a third deep neural network, the expression into an output for an output device.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124588380","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: 3
Extraction of Form Attribute and Query Interface Integrating from Deep Web 深度Web表单属性提取与查询接口集成
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00019
Haiqiang Xu, Xitong Wang, Xin Men, Hongmei Qu, Tianshu Yu
{"title":"Extraction of Form Attribute and Query Interface Integrating from Deep Web","authors":"Haiqiang Xu, Xitong Wang, Xin Men, Hongmei Qu, Tianshu Yu","doi":"10.1109/ICCEAI52939.2021.00019","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00019","url":null,"abstract":"In this paper we describe a new strategy based on internal code and visual unit to extract query interface schema. In the process of extraction, there are still some aspects that should be improved. In order to access multiple network databases in deep Web, which is a time-consuming work, how to integrate a unified query interface is one potential problem. Integration is a process of matching attributes that are in the query forms based on domain ontology. It can save a lot of time and energy to visit abundant network databases. Experimental results also show that our method outperforms the state-of-art integrator from the perspective of traditional performance metrics.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127651368","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
Tabu Annealing Lion Swarm Optimization Algorithm 禁忌退火狮子群算法
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00083
Falei Ji, M. Jiang
{"title":"Tabu Annealing Lion Swarm Optimization Algorithm","authors":"Falei Ji, M. Jiang","doi":"10.1109/ICCEAI52939.2021.00083","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00083","url":null,"abstract":"Lion swarm optimization is a swarm intelligence algorithm that simulates the behaviors of lion king, lioness and cub. Lion king is the individual who occupies the best position in the lion group, but only a single position update is carried out in each iteration, so the search is not careful enough. To solve the above problem, a tabu annealing lion swarm optimization algorithm is proposed, which uses the memory tabu annealing algorithm with tabu list to enhance the lion king's optimization ability. The experimental comparisons on CEC2013 test function show that the proposed tabu annealing lion swarm optimization algorithm has faster convergence speed, higher accuracy and is more effective.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127975390","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
Residual Enhancement Network for Realistic Face Sketch-Photo Synthesis 基于残差增强网络的逼真人脸素描-照片合成
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00037
Weiguo Wan, Yong Yang, Wei Tu
{"title":"Residual Enhancement Network for Realistic Face Sketch-Photo Synthesis","authors":"Weiguo Wan, Yong Yang, Wei Tu","doi":"10.1109/ICCEAI52939.2021.00037","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00037","url":null,"abstract":"Face sketch-photo synthesis is a significant challenge task in computer vision area, due to the blurred facial details and color distortion produced by the existing approaches. In this paper, we propose a realistic face sketch-photo synthesis method based on residual enhancement network. In the network, a residual enhancement module is constructed and embedded in U-Net to improve the feature representation capability of the deep network. In addition, a detail loss and a perception loss are adopted to constrain the synthesized image has abundant detail and realistic photo style. Experimental results on multiple face sketch datasets indicate that the proposed method obtains superior performance than the state-of-the-art methods, both in terms of visual perception and objective evaluations.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117297639","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
Research on Network Data Storage Technology Based on Autonomous Controllable System 基于自主可控系统的网络数据存储技术研究
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00035
Zhao Kai
{"title":"Research on Network Data Storage Technology Based on Autonomous Controllable System","authors":"Zhao Kai","doi":"10.1109/ICCEAI52939.2021.00035","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00035","url":null,"abstract":"With the popularization of network applications, more and more devices can be connected to the network, and the amount of data generated is increasing. The problem of secure data storage is becoming more and more prominent. The storage of data is becoming larger and more complex. It has moved from simple independent storage to the cloud. The storage system has become an important network component independent of the server. The performance of the storage system directly affects the performance of the network and directly affects the user experience of network applications. This article discusses the mainstream storage technology solutions, namely Direct Attached Storage (DAS), Storage Area Network (SAN) and Network Attached Storage (NAS). The three solutions have their own characteristics and are suitable for different application scenarios and requirements. In this paper, network attached storage (NAS) is taken as an example, and a specific storage application deployment plan is given in combination with application requirements.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115268395","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
Infrared and Visible Image Fusion Based on Multi-scale Decomposition and Texture Preservation Model 基于多尺度分解和纹理保持模型的红外与可见光图像融合
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00067
Yingmei Zhang, H. Lee
{"title":"Infrared and Visible Image Fusion Based on Multi-scale Decomposition and Texture Preservation Model","authors":"Yingmei Zhang, H. Lee","doi":"10.1109/ICCEAI52939.2021.00067","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00067","url":null,"abstract":"The Infrared and visible image fusion technique is to generate an integrated image that can simultaneously preserve more texture information and thermal target from the raw images. To achieve this goal, a new infrared and visible fusion based on a multi-scale decomposition and texture preservation model is proposed. First, the base layers and detail layers images are obtained through a novel multi-scale decomposition method. Then, an adaptive saliency weighting rule is designed to obtain the fused base image. To maintain important image information from the raw images as much as possible, a texture preservation model is present. Specifically, we first apply a “max-absolute” rule to obtain pre-fused images and then calculate a Frobenius norm operator between pre-fused images and the target detail fusion image. Finally, the merged image can be obtained through an add operator. Experimental results show that compared with other state-of-the-art fusion methods, our method can preserve the texture details and infrared targets from the original images in the fusion image in terms of subjective effects and objective indicators.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115384645","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
A Literature Review of Innovation and Corporate Social Responsibilities 创新与企业社会责任的文献综述
2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2021-08-01 DOI: 10.1109/ICCEAI52939.2021.00003
Yan Wang, Yayun Zheng, De-ming Zhao
{"title":"A Literature Review of Innovation and Corporate Social Responsibilities","authors":"Yan Wang, Yayun Zheng, De-ming Zhao","doi":"10.1109/ICCEAI52939.2021.00003","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00003","url":null,"abstract":"In recent years, research on the relationship between innovation and corporate social responsibility (CSR) has become the primary focus of the relationship between the enterprises, society and ecological environment. An increasing number of scholars have had in-depth discussion on the balance between financial profits and social value creation. This article draws data from the foreign database Web of Science (WOS), and uses the visual analysis software citespace to get a knowledge map of the literature. Through quantitative analysis, multidisciplinary analysis, and co-citation analysis of the literature, among which, co-citation analysis refers to keyword co-occurrence analysis, etc., the frontier characteristics, research hotspots and future trends of the relationship between innovation and CSR have been initially formed. The research results support the conclusions that: Firstly, the research on the relationship between innovation and CSR has been gradually expanded, and the impetus and influence of external factors on innovation has gradually given way to the combined effect of internal factors; secondly, the expanded definition of CSR has enriched the knowledge basis for research, however selecting many indicators has become a problem for the related research; and finally, this article has summarized the research standards and research perspectives on innovation and CSR and analyzed the research prospects in related fields.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114256325","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
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