发布求助
文献互助 智能选刊 最新文献

2021 3rd International Conference on Computer Communication and the Internet (ICCCI)最新文献

筛选
英文 中文
Comparison of Stabilization Control for Writing Characters in Remote Robot System with Force Feedback 力反馈远程机器人系统写字稳定控制的比较
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486825
Ruzhou Ye, Y. Ishibashi, Pingguo Huang, Y. Tateiwa
{"title":"Comparison of Stabilization Control for Writing Characters in Remote Robot System with Force Feedback","authors":"Ruzhou Ye, Y. Ishibashi, Pingguo Huang, Y. Tateiwa","doi":"10.1109/ICCCI51764.2021.9486825","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486825","url":null,"abstract":"This paper makes a comparison among three types of stabilization control for writing characters in a remote robot system with force feedback. The three types of control are the stabilization control by viscosity, reaction force control upon hitting, and stabilization control with filters. We also examine the influence of network delay on writing characters. In the remote robot system, a user can remotely manipulate a robot arm having a force sensor by using a haptic interface device while watching video. In our experiment, the user writes characters by manipulating the robot arm with a pen under the three types of control and control (called no control here) in which stabilization control is not exerted. Experimental results illustrate that the reaction force control upon hitting is the most effective, and the operation becomes more difficult as the network delay increases.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126570508","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
Intrusion Detection Method Based on Sparse Autoencoder 基于稀疏自编码器的入侵检测方法
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486776
Yuqi Li, Pan Gao, Zhi-jun Wu
{"title":"Intrusion Detection Method Based on Sparse Autoencoder","authors":"Yuqi Li, Pan Gao, Zhi-jun Wu","doi":"10.1109/ICCCI51764.2021.9486776","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486776","url":null,"abstract":"In view of the low detection rate and high false alarm rate in the current imbalance of classification in intrusion detection, an intrusion detection algorithm based on sparse autoencoder is proposed. This method uses sparse autoencoder technology to build a classified model to complete the detection of different types of data labels, and to improve the detection effect by adjusting the parameters. The experiment uses the UNSW-NB15 data set to test the algorithm. The experimental results show that the algorithm has a higher detection rate and a lower false positive rate.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114342307","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
Developing an Acceptance Model for Use with Online Video-Sharing Platforms 开发用于在线视频分享平台的接受模型
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486788
Ittipat Chinangkulpiwat, Singha Chaveesuk, Wornchanok Chaiyasoonthorn
{"title":"Developing an Acceptance Model for Use with Online Video-Sharing Platforms","authors":"Ittipat Chinangkulpiwat, Singha Chaveesuk, Wornchanok Chaiyasoonthorn","doi":"10.1109/ICCCI51764.2021.9486788","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486788","url":null,"abstract":"Online video-sharing platforms have increased their popularity significantly in recent years. For example, YouTube has grown rapidly and become the most visited website in the world. Video-sharing platforms work by allowing users to provide content, view, subscribe, like, dislike and comment on the platform. They provide cost-saving, remote access, improved learning, stress relief, and available advantages 24 hours per day. This paper aimed to develop a conceptual framework to comprehend the acceptance to use video-sharing platforms and proposed a conceptual framework developed from a prior conceptual framework of UTAUT and IS Success model. A structural equation model was applied utilizing confirmatory factor analysis to validate the acceptance model towards an acceptance model for other technological platforms.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124096299","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
ViT-GAN: Using Vision Transformer as Discriminator with Adaptive Data Augmentation viti - gan:基于视觉变换的自适应数据增强鉴别器
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486805
Shota Hirose, Naoki Wada, J. Katto, Heming Sun
{"title":"ViT-GAN: Using Vision Transformer as Discriminator with Adaptive Data Augmentation","authors":"Shota Hirose, Naoki Wada, J. Katto, Heming Sun","doi":"10.1109/ICCCI51764.2021.9486805","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486805","url":null,"abstract":"These days, attention is thought to be an efficient way to recognize an image. Vision Transformer (ViT) uses a Transformer for images and has very high performance in image recognition. ViT has fewer parameters than Big Transfer (BiT) and Noisy Student. Therefore, we consider that Self-Attention-based networks are slimmer than convolution-based networks. We use a ViT as a Discriminator in a Generative Adversarial Network (GAN) to get the same performance with a smaller model. We name it ViT-GAN. Besides, we find parameter sharing is very useful to make parameter-efficient ViT. However, the performances of ViT heavily depend on the number of data samples. Therefore, we propose a new method of Data Augmentation. Our Data Augmentation, in which the strength of Data Augmentation varies adaptively, helps ViT for faster convergence and better performance. With our Data Augmentation, we show ViT-based discriminator can achieve almost the same FID but the number of the parameters of the discriminator is 35% fewer than the original discriminator.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115581255","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
Development of Smart Bus Management System Using NB-IoT 基于NB-IoT的智能公交管理系统开发
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486773
Surachet Sangkhapan, P. Wannapiroon, P. Nilsook
{"title":"Development of Smart Bus Management System Using NB-IoT","authors":"Surachet Sangkhapan, P. Wannapiroon, P. Nilsook","doi":"10.1109/ICCCI51764.2021.9486773","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486773","url":null,"abstract":"Thailand has frequent road accidents caused by public buses mostly are caused by drivers driving faster than the legal limit and careless. In addition, there are other public transportations problems e.g., wasting of time waiting for the bus due to the unknown its location and uncertain of arrival time. Based on this issue, the researchers proposing solutions to the problems by developing an intelligent bus management system based on NB-IoT. The objectives of this research aim to study, research, design, and develop a smart bus management system using NB-IoT, and to examine its efficiency by researching related works and comparisons, analyze the development of smart bus management system. Researchers have discovered a synthetic smart bus management system and have developed the system based on NB-IoT which consist of 8 subsystems: 1) Smart Tracking System 2) Smart Gate Attendance 3) Smart Camera System 4) Smart Alert System 5) Smart Time Estimation 6) Smart Suggestions 7) Smart Accident Center and 8) Smart Report. These systems will run through an application on the user's mobile phone. This smart bus management system performance was assessed using NB-IoT. The evaluation found that the overall system performance was at a high level of efficiency. Therefore, it can be concluded that the developed prototype system can be applied in actual use.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128640612","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
A Heterogeneous Graph Attention Network-Based Web Service Link Prediction 基于异构图注意网络的Web服务链路预测
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486812
Wenhui He, Chunhe Xia, Zhong Li, Xiaochen Liu, Tianbo Wang
{"title":"A Heterogeneous Graph Attention Network-Based Web Service Link Prediction","authors":"Wenhui He, Chunhe Xia, Zhong Li, Xiaochen Liu, Tianbo Wang","doi":"10.1109/ICCCI51764.2021.9486812","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486812","url":null,"abstract":"With the rise of service computing, the increasing number and diversity of web services make it an intractable task to search for suitable services. Service composition, service selection and recommendation have become the focus of service computing. As the fundamental research of service network, service link prediction is used to explore the composition mode between services, which can facilitate the development of service composition, service selection and recommendation. However, the existing link prediction methods are mainly based on manual modeling and derivation, which cannot make full use of the global structure information and perform poorly in complex networks. The challenging problem in service link prediction is the heterogeneity and sparseness of the service network. Therefore, we propose a novel web service link prediction method based on a heterogeneous graph attention network. By analyzing the interaction between services, five types of neighbors that are associated with service links are chosen, and two levels of attention are applied to learn the importance of neighbors and calculate the embedding of services. In addition, in order to improve accuracy, we design a Service-TextRank algorithm to extract the key information of the service description. Extensive experimental results on real-world data-ProgrammableWeb validate the effectiveness of our approach.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129941552","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
A Complex Number-Based Node Ranking Calculation 基于复数的节点排序计算
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486803
K. Sugihara
{"title":"A Complex Number-Based Node Ranking Calculation","authors":"K. Sugihara","doi":"10.1109/ICCCI51764.2021.9486803","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486803","url":null,"abstract":"Google PageRank is widely used by search engines and known for its high calculation cost. This study proposes the usage of complex numbers in node ranking calculations for a network. The node scores are calculated in the graph using the Hermitian adjacency matrix and the complex plane through an algorithm, called HermitianStatus. The result of the proposed method is then compared to that of Google PageRank. In conclusion, HermitianStatus has advantages over PageRank.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123682276","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
Improving Face Recognition Using Pre-trained Models for Mask Wearer Images 使用预先训练的面具佩戴者图像模型改进人脸识别
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486820
M. Hongo, T. Goto
{"title":"Improving Face Recognition Using Pre-trained Models for Mask Wearer Images","authors":"M. Hongo, T. Goto","doi":"10.1109/ICCCI51764.2021.9486820","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486820","url":null,"abstract":"Wearing a mask hides half of the face, making it difficult to recognize it as a face in computer vision. There is a problem that it becomes impossible to identify the whereabouts of a person or an individual because it is not recognized as a face. In this paper, we aim to improve the recognition rate by using learning-based method and combining both NVIDIA's pre-trained model and face images with and without masks.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114660355","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
End-to-End Model Based on RNN-T for Kazakh Speech Recognition 基于RNN-T的哈萨克语语音识别端到端模型
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486811
O. Mamyrbayev, Dina Oralbekova, A. Kydyrbekova, Tolganay Turdalykyzy, A. Bekarystankyzy
{"title":"End-to-End Model Based on RNN-T for Kazakh Speech Recognition","authors":"O. Mamyrbayev, Dina Oralbekova, A. Kydyrbekova, Tolganay Turdalykyzy, A. Bekarystankyzy","doi":"10.1109/ICCCI51764.2021.9486811","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486811","url":null,"abstract":"Automatic speech recognition is a rapidly developing area in machine learning. The most popular speech recognition systems today are end-to-end systems, especially those models that directly output a sequence of words taking into account the input sound in real time, which are online end-to-end models. Stream speech recognition allows to transfer the audio stream to speech-to-text conversion and get the results of stream speech recognition in real time as the audio is processed. This article discusses and implements a popular RNN-T-based model for recognizing Kazakh speech. The analysis of works related to recognition of Kazakh speech based on the CTC model is also given. The findings demonstrated that an RNN-T-based model can work well without additional components, like a language model and showed the best outcome on our dataset. As a result of the research, the system reached 10.6% CER, which is the best indicator among other end-to-end systems for recognizing Kazakh speech.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128028668","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: 7
How Successful in Individual Prosumer Performance in Thailand 泰国的个人消费表现如何成功
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486821
Arissa Sa-ardnak, Wornchanok Chaiyasoonthorn, Singha Chaveesuk
{"title":"How Successful in Individual Prosumer Performance in Thailand","authors":"Arissa Sa-ardnak, Wornchanok Chaiyasoonthorn, Singha Chaveesuk","doi":"10.1109/ICCCI51764.2021.9486821","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486821","url":null,"abstract":"The evolution of technology has affected consumer behavior around the world, including through faster, more frequent data consumption, data comparison, and more self-specific needs. This makes consumers more keenly focused on self-production. The prosumer society is plentiful and focuses on effectiveness. This results in greater quality control problems. The usage of those who do not yet value it are less clear. Workers are not paid for their work, unlike other economies. The prosumer shares their knowledge in a way which is fulfilling. A professional prosumer shares their knowledge with society that makes them proud. The technology usage will help improve individual prosumers' key to success. This study offers a conceptual framework of factors that affect individual prosumer performance. This article synthesizes Technology Cultural Theory (TCT) based on TAM2, Information System Success Model (ISS) based on the IS success model, Prosumer Theory (PT) based on consumer behavior, and Individual Prosumer Performance (IPP) based on individual performance.","PeriodicalId":180004,"journal":{"name":"2021 3rd International Conference on Computer Communication and the Internet (ICCCI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130962268","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