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

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Alpha Beta Pruned UNet - A Modified UNet Framework to Segment MRI Brain Image to Analyse the Effects of CNTNAP2 Gene towards Autism Detection Alpha - Beta修剪UNet -一种改进的UNet框架分割MRI脑图像分析CNTNAP2基因对自闭症检测的影响
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486783
N. N., Premjyoti Patil, Shantakumar B. Patil, Mallikarjun Kokatanur
{"title":"Alpha Beta Pruned UNet - A Modified UNet Framework to Segment MRI Brain Image to Analyse the Effects of CNTNAP2 Gene towards Autism Detection","authors":"N. N., Premjyoti Patil, Shantakumar B. Patil, Mallikarjun Kokatanur","doi":"10.1109/ICCCI51764.2021.9486783","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486783","url":null,"abstract":"The brainchild of the proposed work lies in automatic detection of autism using image segmentation method. CNN is the most powerful technique for biomedical image segmentation where several variants are proposed. The proposed work mainly focuses on modified UNet segmentation method for image segmentation and classification called Alpha-Beta Pruned UNet which is a dimensionality reduction technique in UNet. A comparison metric is also made between UNet and the proposed algorithm with the experimental results.","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":"132213177","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: 5
A Parameter Optimization Method for Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 Devices 基于IEEE 802.15.4设备的室内指纹定位系统参数优化方法
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486801
Yuan-Zhi Huo, P. Puspitaningayu, N. Funabiki, K. Hamazaki, M. Kuribayashi, K. Kojima
{"title":"A Parameter Optimization Method for Fingerprint-Based Indoor Localization System Using IEEE 802.15.4 Devices","authors":"Yuan-Zhi Huo, P. Puspitaningayu, N. Funabiki, K. Hamazaki, M. Kuribayashi, K. Kojima","doi":"10.1109/ICCCI51764.2021.9486801","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486801","url":null,"abstract":"To achieve the high accuracy while wearing an inexpensive, tiny, and long-life transmitter, we have developed a fingerprint-based indoor localization system. It adopts IEEE802.15.4 devices and restricts the detection granularity to one room in an indoor environment. Unfortunately, wireless signals of the devices often fluctuate due to human movements and other uncontrollable factors. It has been observed that it can be solved by assigning plural fingerprints to one room. However, their values need to be properly selected. In this paper, we study the parameter optimization method for this indoor localization system. An existing parameter optimization tool is employed where the score function is newly defined to estimate the optimality of the current parameters. For evaluations, we apply the method to the measured data using the system in #2 Engineering Building of Okayama University. The results show that the detection accuracy becomes higher than 95% for any room by increasing the number of fingerprints and optimizing the parameter values by the proposal.","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":"132445865","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
Video-Based Facial Recognition Develop for Accurately Identify People Wearing Surgical Masks 基于视频的面部识别技术用于准确识别戴着外科口罩的人
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486818
C. Ratanaubol, P. Wannapiroon, P. Nilsook
{"title":"Video-Based Facial Recognition Develop for Accurately Identify People Wearing Surgical Masks","authors":"C. Ratanaubol, P. Wannapiroon, P. Nilsook","doi":"10.1109/ICCCI51764.2021.9486818","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486818","url":null,"abstract":"During COVID-19 epidemic, governments around the world now recommend or require their citizens to cover the lower half of their faces in public places. The researchers investigated whether surgical face masks affected the performance of the Video-Based facial recognition system. The purposes of this study are 1) to study Video-Based Facial Recognition algorithm for accurately identify people wearing masks. 2) to design the architecture of the Video-Based Facial Recognition develop for accurately identify people wearing masks.3) to develop a Video-Based Facial Recognition develop for accurately identify people wearing masks. The researcher found that face masks have a large effect on human face matching performance. But our findings demonstrate that face masks hardly impair the ability of Video-Based Facial recognition systems, significantly.","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":"133895426","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
Towards Mass Individualized Production: RAMI 4.0 Asset Data Channelling for Manufacturing Value Chain Connectivity 面向大规模个性化生产:面向制造业价值链连接的RAMI 4.0资产数据通道
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486787
Jen Hin Hang, Wah Pheng Lee, Yee Mei Lim
{"title":"Towards Mass Individualized Production: RAMI 4.0 Asset Data Channelling for Manufacturing Value Chain Connectivity","authors":"Jen Hin Hang, Wah Pheng Lee, Yee Mei Lim","doi":"10.1109/ICCCI51764.2021.9486787","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486787","url":null,"abstract":"Mass production of individualized products becomes essential for delivering personalized customer experience in the Industrial Revolution 4.0 era. Developing seamless value chain integration between enterprises, such as suppliers, retailers, and manufacturers, to achieve mass production of individualized products is challenging. This paper proposes a method of asset integration and asset data channeling between enterprises in a value chain, namely Asset Administration System (AAdSys), designed based on RAMI 4.0. A use case that involves PEC application and OMIS manufacturing line for full automation of individualized mixed juice production is developed. The use case demonstrates how data channeling between a retailer and a manufacturer using AAdSys can be done.","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":"127311215","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
Analyzing Cyber Crimes during COVID-19 Time in Indonesia 新冠疫情期间印尼网络犯罪分析
2021 3rd International Conference on Computer Communication and the Internet (ICCCI) Pub Date : 2021-06-25 DOI: 10.1109/ICCCI51764.2021.9486775
Abdul Hanief Amarullah, A. Runturambi, Bondan Widiawan
{"title":"Analyzing Cyber Crimes during COVID-19 Time in Indonesia","authors":"Abdul Hanief Amarullah, A. Runturambi, Bondan Widiawan","doi":"10.1109/ICCCI51764.2021.9486775","DOIUrl":"https://doi.org/10.1109/ICCCI51764.2021.9486775","url":null,"abstract":"COVID-19 spreads fast and uncontrollably, causing panic and anxiety of the uncertain times worldwide. Remote working becomes a favorable option to keep activities running as usual. Cybercriminals use these conditions to commit cybercrime with either a specific target or not. The study is conducted by identifying cybercrime in Indonesia that utilizes COVID-19 issues with the help of timeline mapping of key events and cyberattacks to analyze targeted sectors and their cybersecurity. Most attacks are made by malware with the general target that can cause damage on a broader scope. Individual awareness of cybersecurity and support from an authority figure is needed to obtain a secure environment for remote working.","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":"124442522","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
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