IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference最新文献

Communications and Networking: 17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings 通信与网络:第十七届EAI国际会议，中国通信协会2022，虚拟事件，2022年11月19-20日，论文集

IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-34790-0

引用次数: 0

Communications and Networking: 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings 通信与网络:第16届EAI国际会议，ChinaCom 2021，虚拟活动，2021年11月21-22日，论文集

IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference Pub Date : 2022-01-01 DOI: 10.1007/978-3-030-99200-2

引用次数: 0

StreetBit: A Bluetooth Beacon-based Personal Safety Application for Distracted Pedestrians. StreetBit:基于蓝牙信标的分心行人人身安全应用。

IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference Pub Date : 2021-01-01 Epub Date: 2021-03-11 DOI: 10.1109/ccnc49032.2021.9369650

Raiful Hasan, Mohammad Aminul Hoque, Yasser Karim, Russell Griffin, David Schwebel, Ragib Hasan

{"title":"StreetBit: A Bluetooth Beacon-based Personal Safety Application for Distracted Pedestrians.","authors":"Raiful Hasan, Mohammad Aminul Hoque, Yasser Karim, Russell Griffin, David Schwebel, Ragib Hasan","doi":"10.1109/ccnc49032.2021.9369650","DOIUrl":"https://doi.org/10.1109/ccnc49032.2021.9369650","url":null,"abstract":"The safety of distracted pedestrians presents a significant public health challenge in the United States and worldwide. An estimated 6,704 American pedestrians died and over 200,000 pedestrians were injured in traffic crashes in 2018, according to the Centers for Disease Control and Prevention (CDC) [1]. This number is increasing annually and many researchers posit that distraction by smartphones is a primary reason for the increasing number of pedestrian injuries and deaths. One strategy to prevent pedestrian injuries and death is to use intrusive interruptions that warn distracted pedestrians directly on their smartphones. To this end, we developed StreetBit, a Bluetooth beacon-based mobile application that alerts distracted pedestrians with a visual and/or audio interruption when they are distracted by their smartphones and are approaching a potentially-dangerous traffic intersection. In this paper, we present the background, architecture, and operations of the StreetBit Application.","PeriodicalId":93293,"journal":{"name":"IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference","volume":"2021 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ccnc49032.2021.9369650","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39437176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Communications and Networking: 15th EAI International Conference, ChinaCom 2020, Shanghai, China, November 20-21, 2020, Proceedings 通信与网络:第十五届EAI国际会议，中国通信通信委员会2020，中国上海，2020年11月20-21日，论文集

IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference Pub Date : 2021-01-01 DOI: 10.1007/978-3-030-67720-6

引用次数: 0

DLWIoT: Deep Learning-based Watermarking for Authorized IoT Onboarding. DLWIoT:基于深度学习的授权物联网入职水印。

IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference Pub Date : 2021-01-01 Epub Date: 2021-03-11 DOI: 10.1109/ccnc49032.2021.9369515

Spyridon Mastorakis, Xin Zhong, Pei-Chi Huang, Reza Tourani

{"title":"DLWIoT: Deep Learning-based Watermarking for Authorized IoT Onboarding.","authors":"Spyridon Mastorakis, Xin Zhong, Pei-Chi Huang, Reza Tourani","doi":"10.1109/ccnc49032.2021.9369515","DOIUrl":"https://doi.org/10.1109/ccnc49032.2021.9369515","url":null,"abstract":"The onboarding of IoT devices by authorized users constitutes both a challenge and a necessity in a world, where the number of IoT devices and the tampering attacks against them continuously increase. Commonly used onboarding techniques today include the use of QR codes, pin codes, or serial numbers. These techniques typically do not protect against unauthorized device access-a QR code is physically printed on the device, while a pin code may be included in the device packaging. As a result, any entity that has physical access to a device can onboard it onto their network and, potentially, tamper it (e.g., install malware on the device). To address this problem, in this paper, we present a framework, called Deep Learning-based Watermarking for authorized IoT onboarding (DLWIoT), featuring a robust and fully automated image watermarking scheme based on deep neural networks. DLWIoT embeds user credentials into carrier images (e.g., QR codes printed on IoT devices), thus enables IoT onboarding only by authorized users. Our experimental results demonstrate the feasibility of DLWIoT, indicating that authorized users can onboard IoT devices with DLWIoT within 2.5-3sec.","PeriodicalId":93293,"journal":{"name":"IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference","volume":"2021 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ccnc49032.2021.9369515","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39553553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Irregular Metronomes as Assistive Devices to Promote Healthy Gait Patterns. 不规则节拍器作为促进健康步态的辅助设备

IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference Pub Date : 2021-01-01 Epub Date: 2021-03-11 DOI: 10.1109/ccnc49032.2021.9369490

Aaron D Likens, Spyridon Mastorakis, Andreas Skiadopoulos, Jenny A Kent, Md Washik Al Azad, Nick Stergiou

{"title":"Irregular Metronomes as Assistive Devices to Promote Healthy Gait Patterns.","authors":"Aaron D Likens, Spyridon Mastorakis, Andreas Skiadopoulos, Jenny A Kent, Md Washik Al Azad, Nick Stergiou","doi":"10.1109/ccnc49032.2021.9369490","DOIUrl":"10.1109/ccnc49032.2021.9369490","url":null,"abstract":"Older adults and people suffering from neurodegenerative disease often experience difficulty controlling gait during locomotion, ultimately increasing their risk of falling. To combat these effects, researchers and clinicians have used metronomes as assistive devices to improve movement timing in hopes of reducing their risk of falling. Historically, researchers in this area have relied on metronomes with isochronous interbeat intervals, which may be problematic because normal healthy gait varies considerably from one step to the next. More recently, researchers have advocated the use of irregular metronomes embedded with statistical properties found in healthy populations. In this paper, we explore the effect of both regular and irregular metronomes on many statistical properties of interstride intervals. Furthermore, we investigate how these properties react to mechanical perturbation in the form of a halted treadmill belt while walking. Our results demonstrate that metronomes that are either isochronous or random break down the inherent structure of healthy gait. Metronomes with statistical properties similar to healthy gait seem to preserve those properties, despite a strong mechanical perturbation. We discuss the future development of this work in the context of networked augmented reality metronome devices.","PeriodicalId":93293,"journal":{"name":"IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference","volume":"2021 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340876/pdf/nihms-1693207.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39301448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to: Land Cover Classification and Accuracy Evaluation Based on Object-Oriented Spatial Features of GF-2 基于面向对象空间特征的GF-2土地覆盖分类与精度评价

IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference Pub Date : 2020-11-20 DOI: 10.1007/978-3-030-67720-6_55

Xiaomao Chen, Jiakun Li, Yuanfa Ji

引用次数: 0

Communications and Networking: 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 – December 1, 2019, Proceedings, Part I 通信与网络:第十四届EAI国际会议，2019年11月29日至12月1日，中国上海，中国，会议记录，第一部分

IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-41114-5

O. Akan, Honghao Gao, Z. Feng, Jun-Jie Yu, Jun Wu

引用次数: 0

Communications and Networking: 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 – December 1, 2019, Proceedings, Part II 通信与网络:第十四届EAI国际会议，2019年11月29日至12月1日，中国上海，中国，会议记录，第二部分

IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-41117-6

Huan Meng, Hongqing Liu, Yi Zhou, Zhen Luo

引用次数: 0

Efficiently allocating distributed caching resources in future smart networks 在未来智能网络中高效分配分布式缓存资源

IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference Pub Date : 2019-01-01 DOI: 10.1109/CCNC.2019.8651854

Hamza Ben Ammar, Y. H. Aoul, Soraya Ait Chellouche

引用次数: 0