The integration of the Internet of Things(IoT)into healthcare systems improves patient care,boosts operational efficiency,and contributes to cost-effective healthcare delivery.However,overcoming several associated cha...The integration of the Internet of Things(IoT)into healthcare systems improves patient care,boosts operational efficiency,and contributes to cost-effective healthcare delivery.However,overcoming several associated challenges,such as data security,interoperability,and ethical concerns,is crucial to realizing the full potential of IoT in healthcare.Real-time anomaly detection plays a key role in protecting patient data and maintaining device integrity amidst the additional security risks posed by interconnected systems.In this context,this paper presents a novelmethod for healthcare data privacy analysis.The technique is based on the identification of anomalies in cloud-based Internet of Things(IoT)networks,and it is optimized using explainable artificial intelligence.For anomaly detection,the Radial Boltzmann Gaussian Temporal Fuzzy Network(RBGTFN)is used in the process of doing information privacy analysis for healthcare data.Remora Colony SwarmOptimization is then used to carry out the optimization of the network.The performance of the model in identifying anomalies across a variety of healthcare data is evaluated by an experimental study.This evaluation suggested that themodel measures the accuracy,precision,latency,Quality of Service(QoS),and scalability of themodel.A remarkable 95%precision,93%latency,89%quality of service,98%detection accuracy,and 96%scalability were obtained by the suggested model,as shown by the subsequent findings.展开更多
针对大规模分布式蓄电池管理在实时监控、数据融合及多厂商兼容等方面的挑战,引入基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的解决方案。通过构建低功耗NB-IoT监控网络、边缘智能管控机制及标准化接入平台,实现对大...针对大规模分布式蓄电池管理在实时监控、数据融合及多厂商兼容等方面的挑战,引入基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的解决方案。通过构建低功耗NB-IoT监控网络、边缘智能管控机制及标准化接入平台,实现对大规模异构蓄电池的高效接入、状态感知与统一管理。在数据中心和智能电网等场景的应用结果表明,NB-IoT方案显著提升了数据传输效率、监控响应速度以及故障预警能力,为分布式储能设施的智能化运维提供了有力支撑。展开更多
Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage a...Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage and processing capabilities and is a much more mature technology. Therefore, combination of Cloud computing and IoT can provide the best performance for users. Cloud computing nowadays provides lifesaving healthcare application by collecting data from bedside devices, viewing patient information and diagnose in real time. There may some concerns about security and other issues of the patient’s data but utilization of IoT and Cloud technologies in healthcare industry would open a new era in the field of healthcare. To ensure basic healthcare needs of the people in the rural areas, we have proposed Cloud-IoT based smart healthcare system. In this system various types of sensors (Temperature, Heart bit, ECG, etc.) are equipped in the patient side to sense the patient’s physiological data. For securing data RSA based authentication algorithm and mitigation of several security threats have been used. The sensed data will process and store in the Cloud server. Stored data can be used by the authorized and/or concerned medical practitioner upon approved by the user for patient caring.展开更多
火灾事故对人民生命财产安全构成了极大的威胁。消防水源作为灭火时的首选,在救援中发挥着重要作用。针对消防供水设施人工管理效率低、工作状态难以实时知晓和人为损坏频繁等问题,设计了一种基于窄带物联网(Narrow Band Internet of Th...火灾事故对人民生命财产安全构成了极大的威胁。消防水源作为灭火时的首选,在救援中发挥着重要作用。针对消防供水设施人工管理效率低、工作状态难以实时知晓和人为损坏频繁等问题,设计了一种基于窄带物联网(Narrow Band Internet of Things, NB-IoT)的消防水源数字化感知系统。系统终端采用自主设计,实现消防水源关键信息的实时采集,通过NB-IoT无线通信技术将数据上传至云平台。云平台实现数据预处理、流转与存储,并通过配套的Web端和APP将关键信息进行可视化展示。消防管理人员可远程查看消防水源状态以及巡检记录的信息,出现异常时自动报警推送。利用组合模型对监测终端采集的非用水时水压进行学习,通过设置阈值与时间窗口实现消防用水行为的识别,对消防水系统的维护进行指导。经测试,系统运行稳定、使用便捷,具有良好的实用价值。展开更多
This paper analyzes the characteristics of cloud computing and IOT (internet of things), introduce a logistics operation based on cloud computing and IOT, which establish a logistics information interchange, data exch...This paper analyzes the characteristics of cloud computing and IOT (internet of things), introduce a logistics operation based on cloud computing and IOT, which establish a logistics information interchange, data exchange to meet the business requirements of the various types of logistics public information platform.展开更多
The fast technology development of 5G mobile broadband (5G), Internet of Things (IoT), Big Data Analytics (Big Data), Cloud Computing (Cloud) and Software Defined Networks (SDN) has made those technologies one after a...The fast technology development of 5G mobile broadband (5G), Internet of Things (IoT), Big Data Analytics (Big Data), Cloud Computing (Cloud) and Software Defined Networks (SDN) has made those technologies one after another and created strong interdependence among one another. For example, IoT applications that generate small data with large volume and fast velocity will need 5G with characteristics of high data rate and low latency to transmit such data faster and cheaper. On the other hand, those data also need Cloud to process and to store and furthermore, SDN to provide scalable network infrastructure to transport this large volume of data in an optimal way. This article explores the technical relationships among the development of IoT, Big Data, Cloud, and SDN in the coming 5G era and illustrates several ongoing programs and applications at National Chiao Tung University that are based on the converging of those technologies.展开更多
The rapid expansion of the Internet of Things (IoT) has driven the need for advanced computational frameworks capable of handling the complex data processing and security challenges that modern IoT applications demand...The rapid expansion of the Internet of Things (IoT) has driven the need for advanced computational frameworks capable of handling the complex data processing and security challenges that modern IoT applications demand. However, traditional cloud computing frameworks face significant latency, scalability, and security issues. Quantum-Edge Cloud Computing (QECC) offers an innovative solution by integrating the computational power of quantum computing with the low-latency advantages of edge computing and the scalability of cloud computing resources. This study is grounded in an extensive literature review, performance improvements, and metrics data from Bangladesh, focusing on smart city infrastructure, healthcare monitoring, and the industrial IoT sector. The discussion covers vital elements, including integrating quantum cryptography to enhance data security, the critical role of edge computing in reducing response times, and cloud computing’s ability to support large-scale IoT networks with its extensive resources. Through case studies such as the application of quantum sensors in autonomous vehicles, the practical impact of QECC is demonstrated. Additionally, the paper outlines future research opportunities, including developing quantum-resistant encryption techniques and optimizing quantum algorithms for edge computing. The convergence of these technologies in QECC has the potential to overcome the current limitations of IoT frameworks, setting a new standard for future IoT applications.展开更多
This survey paper provides a general overview on Cloud Computing. The topics that are discussed include characteristics, deployment and service models as well drawbacks. Major aspects of Cloud Computing are explained ...This survey paper provides a general overview on Cloud Computing. The topics that are discussed include characteristics, deployment and service models as well drawbacks. Major aspects of Cloud Computing are explained to give the reader a clearer understanding on the complexity of the platform. Following this, several security issues and countermeasures are also discussed to show the major issues and obstacles that Cloud Computing faces as it is being implemented further. The major part of countermeasures focuses on Intrusion Detection Systems. Moving towards Mobile Cloud Computing and Internet of Things, this survey paper gives a general explanation on the applications and potential that comes with the integration of Cloud Computing with any device that has Internet connectivity as well as the challenges that are before it.展开更多
结合自动化技术、嵌入式技术、物联网技术,设计一套基于阿里云IoT平台的气雾栽培式家庭植物工厂控制系统,该系统采用触摸屏PLC一体机为主控制器,通过网关模块接入阿里云IoT平台,并采用IoT Studio Web可视化开发工具进行手机端应用软件设...结合自动化技术、嵌入式技术、物联网技术,设计一套基于阿里云IoT平台的气雾栽培式家庭植物工厂控制系统,该系统采用触摸屏PLC一体机为主控制器,通过网关模块接入阿里云IoT平台,并采用IoT Studio Web可视化开发工具进行手机端应用软件设计,可实现对家庭植物工厂的远程监控,满足实际应用需求,使用户获得良好的应用体验。展开更多
基金funded by Deanship of Scientific Research(DSR)at King Abdulaziz University,Jeddah under grant No.(RG-6-611-43)the authors,therefore,acknowledge with thanks DSR technical and financial support.
文摘The integration of the Internet of Things(IoT)into healthcare systems improves patient care,boosts operational efficiency,and contributes to cost-effective healthcare delivery.However,overcoming several associated challenges,such as data security,interoperability,and ethical concerns,is crucial to realizing the full potential of IoT in healthcare.Real-time anomaly detection plays a key role in protecting patient data and maintaining device integrity amidst the additional security risks posed by interconnected systems.In this context,this paper presents a novelmethod for healthcare data privacy analysis.The technique is based on the identification of anomalies in cloud-based Internet of Things(IoT)networks,and it is optimized using explainable artificial intelligence.For anomaly detection,the Radial Boltzmann Gaussian Temporal Fuzzy Network(RBGTFN)is used in the process of doing information privacy analysis for healthcare data.Remora Colony SwarmOptimization is then used to carry out the optimization of the network.The performance of the model in identifying anomalies across a variety of healthcare data is evaluated by an experimental study.This evaluation suggested that themodel measures the accuracy,precision,latency,Quality of Service(QoS),and scalability of themodel.A remarkable 95%precision,93%latency,89%quality of service,98%detection accuracy,and 96%scalability were obtained by the suggested model,as shown by the subsequent findings.
文摘针对大规模分布式蓄电池管理在实时监控、数据融合及多厂商兼容等方面的挑战,引入基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的解决方案。通过构建低功耗NB-IoT监控网络、边缘智能管控机制及标准化接入平台,实现对大规模异构蓄电池的高效接入、状态感知与统一管理。在数据中心和智能电网等场景的应用结果表明,NB-IoT方案显著提升了数据传输效率、监控响应速度以及故障预警能力,为分布式储能设施的智能化运维提供了有力支撑。
文摘Internet of Things (IoT) is a widely distributed network which requires small amount of power supply having limited storage and processing capacity. On the other hand, Cloud computing has virtually unlimited storage and processing capabilities and is a much more mature technology. Therefore, combination of Cloud computing and IoT can provide the best performance for users. Cloud computing nowadays provides lifesaving healthcare application by collecting data from bedside devices, viewing patient information and diagnose in real time. There may some concerns about security and other issues of the patient’s data but utilization of IoT and Cloud technologies in healthcare industry would open a new era in the field of healthcare. To ensure basic healthcare needs of the people in the rural areas, we have proposed Cloud-IoT based smart healthcare system. In this system various types of sensors (Temperature, Heart bit, ECG, etc.) are equipped in the patient side to sense the patient’s physiological data. For securing data RSA based authentication algorithm and mitigation of several security threats have been used. The sensed data will process and store in the Cloud server. Stored data can be used by the authorized and/or concerned medical practitioner upon approved by the user for patient caring.
文摘火灾事故对人民生命财产安全构成了极大的威胁。消防水源作为灭火时的首选,在救援中发挥着重要作用。针对消防供水设施人工管理效率低、工作状态难以实时知晓和人为损坏频繁等问题,设计了一种基于窄带物联网(Narrow Band Internet of Things, NB-IoT)的消防水源数字化感知系统。系统终端采用自主设计,实现消防水源关键信息的实时采集,通过NB-IoT无线通信技术将数据上传至云平台。云平台实现数据预处理、流转与存储,并通过配套的Web端和APP将关键信息进行可视化展示。消防管理人员可远程查看消防水源状态以及巡检记录的信息,出现异常时自动报警推送。利用组合模型对监测终端采集的非用水时水压进行学习,通过设置阈值与时间窗口实现消防用水行为的识别,对消防水系统的维护进行指导。经测试,系统运行稳定、使用便捷,具有良好的实用价值。
文摘This paper analyzes the characteristics of cloud computing and IOT (internet of things), introduce a logistics operation based on cloud computing and IOT, which establish a logistics information interchange, data exchange to meet the business requirements of the various types of logistics public information platform.
文摘The fast technology development of 5G mobile broadband (5G), Internet of Things (IoT), Big Data Analytics (Big Data), Cloud Computing (Cloud) and Software Defined Networks (SDN) has made those technologies one after another and created strong interdependence among one another. For example, IoT applications that generate small data with large volume and fast velocity will need 5G with characteristics of high data rate and low latency to transmit such data faster and cheaper. On the other hand, those data also need Cloud to process and to store and furthermore, SDN to provide scalable network infrastructure to transport this large volume of data in an optimal way. This article explores the technical relationships among the development of IoT, Big Data, Cloud, and SDN in the coming 5G era and illustrates several ongoing programs and applications at National Chiao Tung University that are based on the converging of those technologies.
文摘The rapid expansion of the Internet of Things (IoT) has driven the need for advanced computational frameworks capable of handling the complex data processing and security challenges that modern IoT applications demand. However, traditional cloud computing frameworks face significant latency, scalability, and security issues. Quantum-Edge Cloud Computing (QECC) offers an innovative solution by integrating the computational power of quantum computing with the low-latency advantages of edge computing and the scalability of cloud computing resources. This study is grounded in an extensive literature review, performance improvements, and metrics data from Bangladesh, focusing on smart city infrastructure, healthcare monitoring, and the industrial IoT sector. The discussion covers vital elements, including integrating quantum cryptography to enhance data security, the critical role of edge computing in reducing response times, and cloud computing’s ability to support large-scale IoT networks with its extensive resources. Through case studies such as the application of quantum sensors in autonomous vehicles, the practical impact of QECC is demonstrated. Additionally, the paper outlines future research opportunities, including developing quantum-resistant encryption techniques and optimizing quantum algorithms for edge computing. The convergence of these technologies in QECC has the potential to overcome the current limitations of IoT frameworks, setting a new standard for future IoT applications.
文摘This survey paper provides a general overview on Cloud Computing. The topics that are discussed include characteristics, deployment and service models as well drawbacks. Major aspects of Cloud Computing are explained to give the reader a clearer understanding on the complexity of the platform. Following this, several security issues and countermeasures are also discussed to show the major issues and obstacles that Cloud Computing faces as it is being implemented further. The major part of countermeasures focuses on Intrusion Detection Systems. Moving towards Mobile Cloud Computing and Internet of Things, this survey paper gives a general explanation on the applications and potential that comes with the integration of Cloud Computing with any device that has Internet connectivity as well as the challenges that are before it.
文摘结合自动化技术、嵌入式技术、物联网技术,设计一套基于阿里云IoT平台的气雾栽培式家庭植物工厂控制系统,该系统采用触摸屏PLC一体机为主控制器,通过网关模块接入阿里云IoT平台,并采用IoT Studio Web可视化开发工具进行手机端应用软件设计,可实现对家庭植物工厂的远程监控,满足实际应用需求,使用户获得良好的应用体验。
