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Istighatha - IoT-enabled emergency response system Istighatha -物联网应急响应系统
Pub Date : 2023-07-01 DOI: 10.1016/j.iot.2023.100869
Shaikha Alzaabi, Nour Al Huda El Chihabi, Mariame Elsalhy, Mohamed Saad
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引用次数: 0
Metaverse applications in smart cities: Enabling technologies, opportunities, challenges, and future directions 智慧城市中的元宇宙应用:使能技术、机遇、挑战和未来方向
Pub Date : 2023-07-01 DOI: 10.1016/j.iot.2023.100884
Ibrar Yaqoob, K. Salah, Raja Jayaraman, Mohammed A. Omar
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引用次数: 4
IoT-enabled smart mask for monitoring body parameters and location through cloud. 支持物联网的智能口罩,通过云监控身体参数和位置。
Pub Date : 2023-07-01 DOI: 10.1016/j.iot.2023.100794
S Mekid, K Chenaoua

In the last interim guidance, the WHO advised the use of masks in communities, during home care, and in healthcare settings in areas with reported cases of COVID-19. This advice was intended for individuals in the community, public health and infection prevention and control (IPC) professionals, healthcare managers, healthcare workers (HCWs), and community health workers. As the two primary routes of transmission of the COVID-19 virus are respiratory droplets and contact, face masks have become potential safety tools in public places. Subsequent contact with the face, eyes, nose, and mouth following contamination is detrimental. However, during this pandemic, physicians and nurses have suffered the consequences of wearing face masks for several hours. Therefore. a full-face mark, which ensures filtered breathing during the day, is critical. The proposed smart mask model protects the respiration of mask wearers and monitors their body temperature, sneezing attacks, and social distancing. Moreover, it registers their geographical location after ensuring ID registration. The proposed mask can be used both indoors and outdoors. Moreover, data can be processed locally for alarms related to temperature and social distancing. The remaining data are sent to a cloud for post-processing to record the histories of mask wearers in all parameters, including their geographical dynamic location, to track the possible spread of contamination. The prototype and measurement results demonstrate the practicality and potential utility of mass numbers.

在上一份临时指南中,世卫组织建议在有COVID-19病例报告的地区的社区、家庭护理和医疗机构中使用口罩。本建议适用于社区中的个人、公共卫生和感染预防与控制(IPC)专业人员、卫生保健管理人员、卫生保健工作者(HCWs)和社区卫生工作者。由于新冠病毒的两个主要传播途径是呼吸道飞沫和接触,口罩已成为公共场所潜在的安全工具。污染后与脸、眼睛、鼻子和嘴接触是有害的。然而,在这次大流行期间,医生和护士遭受了数小时戴口罩的后果。因此。一个完整的面部标记是至关重要的,它可以确保白天呼吸的过滤。提出的智能口罩模型可以保护口罩佩戴者的呼吸,并监测他们的体温、打喷嚏次数和社交距离。此外,在确保身份证登记后,它会登记他们的地理位置。建议的口罩可在室内和室外使用。此外,数据可以在本地处理,以发出与温度和社交距离有关的警报。剩余的数据被发送到云端进行后处理,记录口罩佩戴者的所有参数历史,包括他们的地理动态位置,以跟踪可能的污染传播。原型和测量结果证明了质量数的实用性和潜在的效用。
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引用次数: 3
A context-aware multi-agent reasoning based intelligent assistive formalism 基于上下文感知多智能体推理的智能辅助形式体系
Pub Date : 2023-07-01 DOI: 10.1016/j.iot.2023.100857
S. Yousaf, H. Haque, Muhammad Atif, Muhammad Adnan Hashmi, Abbas Khalid, P. Vinh
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引用次数: 0
An efficient authentication and key agreement scheme for security-aware unmanned aerial vehicles assisted data harvesting in Internet of Things 一种安全感知无人机辅助物联网数据采集的高效认证与密钥协议方案
Pub Date : 2023-07-01 DOI: 10.1016/j.iot.2023.100862
O. Olakanmi, K. Odeyemi
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引用次数: 0
DKSM: A Decentralized Kerberos Secure Service-Management Protocol for Internet of Things DKSM:用于物联网的分散Kerberos安全服务管理协议
Pub Date : 2023-07-01 DOI: 10.1016/j.iot.2023.100871
Jiahui Chen, Han Xiao, Yushan Zheng, M. Hassan, M. Ianni, A. Guzzo, G. Fortino
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引用次数: 0
Enhancing lightweight authenticated key agreement with privacy protection using dynamic identities for Internet of Drones 利用无人机互联网动态身份增强轻量级认证密钥协议和隐私保护
Pub Date : 2023-07-01 DOI: 10.1016/j.iot.2023.100877
Tian-Fu Lee, D. Lou, Chien-Hung Chang
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引用次数: 0
A comprehensive review on Internet of Things application placement in Fog computing environment 雾计算环境下物联网应用布局综述
Pub Date : 2023-07-01 DOI: 10.1016/j.iot.2023.100866
H. K. Apat, Rashmiranjan Nayak, B. Sahoo
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引用次数: 2
An intelligent fuzzy-based system for handover decision in 5G-IoT networks considering network slicing and SDN technologies 考虑网络切片和SDN技术的5G-IoT网络切换决策智能模糊系统
Pub Date : 2023-07-01 DOI: 10.1016/j.iot.2023.100870
Phudit Ampririt, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, L. Barolli
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引用次数: 0
Radio frequency fingerprint-based drone identification and classification using Mel spectrograms and pre-trained YAMNet neural 基于Mel谱图和预训练的YAMNet神经网络的无人机射频指纹识别与分类
Pub Date : 2023-07-01 DOI: 10.1016/j.iot.2023.100879
Kamel K. Mohammed, Eman I. Abd El-Latif, N. E. El-Sayad, A. Darwish, A. Hassanien
{"title":"Radio frequency fingerprint-based drone identification and classification using Mel spectrograms and pre-trained YAMNet neural","authors":"Kamel K. Mohammed, Eman I. Abd El-Latif, N. E. El-Sayad, A. Darwish, A. Hassanien","doi":"10.1016/j.iot.2023.100879","DOIUrl":"https://doi.org/10.1016/j.iot.2023.100879","url":null,"abstract":"","PeriodicalId":73498,"journal":{"name":"Internet of things (Amsterdam, Netherlands)","volume":"23 1","pages":"100879"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54526354","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
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Internet of things (Amsterdam, Netherlands)
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