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An IoT-Aware System for Managing Patients’ Waiting Time Using Bluetooth Low-Energy Technology
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作者 Reham Alabduljabbar 《Computer Systems Science & Engineering》 SCIE EI 2022年第1期1-16,共16页
It is a common observation that whenever patients arrives at the front desk of a hospital,outpatient clinic,or other health-associated centers,they have to first queue up in a line and wait to fill in their registrati... It is a common observation that whenever patients arrives at the front desk of a hospital,outpatient clinic,or other health-associated centers,they have to first queue up in a line and wait to fill in their registration form to get admitted.The long waiting time without any status updates is the most common complaint,concerning health officials.In this paper,UrNext,a location-aware mobile-based solution using Bluetooth low-energy(BLE)technology is presented to solve the problem.Recently,a technology-oriented method,the Internet of Things(IoT),has been gaining popularity in helping to solve some of the healthcare sector’s problems.The implementation of this solution could be illustrated through a simple example of when a patient arrives at a clinic for a consultation.Instead of having to wait in long lines,that patient will be greeted automatically,receive a push notification of an admittance along with an estimated waiting time for a consultation session.This will not only provide the patients with a sense of freedom but would also reduce the uncertainty levels that are generally observed,thus saving both time and money.This work aims to improve the clinics’quality of services,organize queues and minimize waiting times,leading to patients’comfort while reducing the burden on nurses and receptionists.The results demonstrate that the presented system is successful in its performance and helps achieves a plea-sant and conducive clinic visitation process with higher productivity. 展开更多
关键词 internetofthings(IoT) LOCATION-AWARE Bluetoothlowenergy BEACON
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Open Ecosystem for Future Industrial Internet of Things (IIoT): Architecture and Application 被引量:1
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作者 Pinjia Zhang Yang Wu Hongdong Zhu 《CSEE Journal of Power and Energy Systems》 SCIE CSCD 2020年第1期1-11,共11页
Advanced sensing,data analysis and communication techniques have led to the emergence and tremendous develop-ment of industrial internet of things(IIoT)in recent years,which raises revolution in condition monitoring a... Advanced sensing,data analysis and communication techniques have led to the emergence and tremendous develop-ment of industrial internet of things(IIoT)in recent years,which raises revolution in condition monitoring and maintenance for electrical assets.An open ecosystem for future IIoT is proposed in this paper and the architecture of the open ecosystem is discussed.An open development environment needs to be established for users to interact with power devices and servers freely via web or mobile applications installed on user terminals,increasing IIoT scalability and flexibility.The core technologies of open ecosystem in future IIoT are discussed,which include comprehensive sensing techniques,wide-area communication tools,Big Data service infrastructure,data analysis algorithms and intelligent maintenance schemes.An application of future IIoT ecosystem in wind farm maintenance is then presented.It is demonstrated that the efficiency and effectiveness of wind farm maintenance can be improved with the support of open ecosystem of future IIoT,providing an innovative insight for electrical assets monitoring and maintenance with high reliability. 展开更多
关键词 Industrial internetofthings(IIoT) IIoT-based developmentenvironment openecosystem windfarm maintenance
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