Research on the Construction of Group Elderly Care Service Platform Based on IoT Technology

Internet of Things(IoT)technology is widely used in various fields,and its application in elderly care services has been highlighted in recent years.This study aims to explore how IoT technology can improve the efficiency of group-based elderly care services.The concept,characteristics,and current application status of IoT technology in elderly care services were introduced.Secondly,the characteristics and needs of group elderly care services were analyzed,including advantages and challenges,as well as the expectations and needs of the elderly for elderly care services.The evaluation methods and future development directions of IoT technology in improving the efficiency of group elderly care services were discussed,including data collection and analysis methods,selection and measurement of efficiency evaluation indicators,challenges,and development directions.

Construction and Application of a Quality Evaluation System for Group Elderly Care Services Based on the Internet of Things

With the continuous intensification of global aging,the issue of elderly care has become an increasingly prominent social problem.The Internet of Things(IoT)technology,as an emerging field,holds broad application prospects.This article focuses on the application of IoT technology in group elderly care services and constructs a quality evaluation system for these services based on IoT technology.Through the analysis of practical application cases,the advantages and challenges of IoT technology in group elderly care services have been examined,confirming the feasibility and effectiveness of the evaluation system.

Magnetic Null-Pairs within Magnetic Reconnection Ion Diffusion Region in the Magnetotail: A Case Study

The 3-dimentional structure of magnetic reconnection ion diffusion region has been studied in this paper. Steady magnetic null-pair structure is found among the Cluster tetrahedron within a thin current sheet when magnetic reconnection takes place in the near-Earth magnetotail. Two magnetic null points in the null-pair are well coupled, with an angle of about 3~7° between the spin line of one and the fan surface of the other. The magnetic null-pair detected in the ion diffusion region, is quasi-stable in spatial structure but fast evolved in time, consistent with the fast reconnection scenario. The spatially steady magnetic null-pair within the diffusion region of the collision less fast magnetic reconnection presents an advanced understanding of the magnetic reconnection process.

Coherent control of spin tunneling in a driven spin–orbit coupled bosonic triple well

We investigate the coherent control of spin tunneling for a spin–orbit(SO)coupled boson trapped in a driven triple well.In the high-frequency limit,the quasienergies of the system are obtained analytically and the fine energy band structures are shown.By regulating the driving parameters,we reveal that the directed spin-flipping or spin-conserving tunneling of an SOcoupled boson occurs along different pathways and in different directions.The analytical results are demonstrated by numerical simulations and good agreements are found.Further,an interesting scheme of quantum spin tunneling switch with or without spin-flipping is presented.The results may have potential applications in the design of spintronic devices.

Research on Service Recommendation Method Based on Cloud Model Time Series Analysis

The problem of information overload is becoming increasingly prominent,and recommendation systems are developing rapidly in various fields.How to find the most user-friendly services has become the focus.Service recommendation based on QoS is an important technology to select appropriate services for users.In this paper,a service selection method based on time series analysis of cloud model is proposed.Firstly,the noise was removed by clustering algorithm,clustering was divided,and similar user sets were obtained.Then,the cloud model was established by using similar user history data in different periods,and the comprehensive cloud model was obtained by combining time decay function.Finally,the recommended service was obtained by comparing TOPSIS method with ideal cloud model.The experimental results on WS-Dream dataset show that the accuracy of recommendation is improved compared with the existing recommendation algorithms.